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SELECT city.city_name FROM city WHERE city.state_name='arkansas' AND city.population=(SELECT min(city.population) FROM city WHERE city.state_name='arkansas'); | what is the smallest city in arkansas | {"columns":["city_name"],"index":[0],"data":[["north little rock"]]} | [
"city"
] | [
"{\"columns\":[\"city_name\",\"population\",\"country_name\",\"state_name\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385],\"data\":[[\"birmingham\",284413,\"usa\",\"alabama\"],[\"mobile\",200452,\"usa\",\"alabama\"],[\"montgomery\",177857,\"usa\",\"alabama\"],[\"huntsville\",142513,\"usa\",\"alabama\"],[\"tuscaloosa\",75143,\"usa\",\"alabama\"],[\"anchorage\",174431,\"usa\",\"alaska\"],[\"phoenix\",789704,\"usa\",\"arizona\"],[\"tucson\",330537,\"usa\",\"arizona\"],[\"mesa\",152453,\"usa\",\"arizona\"],[\"tempe\",106919,\"usa\",\"arizona\"],[\"glendale\",96988,\"usa\",\"arizona\"],[\"scottsdale\",88622,\"usa\",\"arizona\"],[\"little 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] | what is the smallest city in arkansas <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming | col : city_name row 1 : north little rock |
SELECT state.population FROM state WHERE state.state_name='texas'; | what is the population of texas | {"columns":["population"],"index":[0],"data":[[14229000]]} | [
"state"
] | [
"{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}"
] | what is the population of texas <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318 | col : population row 1 : 14229000 |
SELECT state.population FROM state WHERE state.state_name='utah'; | how many people stay in utah | {"columns":["population"],"index":[0],"data":[[1461000]]} | [
"state"
] | [
"{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}"
] | how many people stay in utah <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318 | col : population row 1 : 1461000 |
SELECT river.river_name FROM river WHERE river.length=(SELECT max(river.length) FROM river); | what is the longest river in the united states | {"columns":["river_name"],"index":[0,1,2,3,4,5,6],"data":[["missouri"],["missouri"],["missouri"],["missouri"],["missouri"],["missouri"],["missouri"]]} | [
"river"
] | [
"{\"columns\":[\"river_name\",\"length\",\"country_name\",\"traverse\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148],\"data\":[[\"mississippi\",3778,\"usa\",\"minnesota\"],[\"mississippi\",3778,\"usa\",\"wisconsin\"],[\"mississippi\",3778,\"usa\",\"iowa\"],[\"mississippi\",3778,\"usa\",\"illinois\"],[\"mississippi\",3778,\"usa\",\"missouri\"],[\"mississippi\",3778,\"usa\",\"kentucky\"],[\"mississippi\",3778,\"usa\",\"tennessee\"],[\"mississippi\",3778,\"usa\",\"arkansas\"],[\"mississippi\",3778,\"usa\",\"mississippi\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"missouri\",3968,\"usa\",\"montana\"],[\"missouri\",3968,\"usa\",\"north dakota\"],[\"missouri\",3968,\"usa\",\"south dakota\"],[\"missouri\",3968,\"usa\",\"iowa\"],[\"missouri\",3968,\"usa\",\"nebraska\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"colorado\",2333,\"usa\",\"colorado\"],[\"colorado\",2333,\"usa\",\"utah\"],[\"colorado\",2333,\"usa\",\"arizona\"],[\"colorado\",2333,\"usa\",\"nevada\"],[\"colorado\",2333,\"usa\",\"california\"],[\"ohio\",1569,\"usa\",\"pennsylvania\"],[\"ohio\",1569,\"usa\",\"west virginia\"],[\"ohio\",1569,\"usa\",\"kentucky\"],[\"ohio\",1569,\"usa\",\"indiana\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"ohio\"],[\"red\",1638,\"usa\",\"new mexico\"],[\"red\",1638,\"usa\",\"texas\"],[\"red\",1638,\"usa\",\"oklahoma\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"louisiana\"],[\"arkansas\",2333,\"usa\",\"colorado\"],[\"arkansas\",2333,\"usa\",\"kansas\"],[\"arkansas\",2333,\"usa\",\"oklahoma\"],[\"arkansas\",2333,\"usa\",\"arkansas\"],[\"canadian\",1458,\"usa\",\"colorado\"],[\"canadian\",1458,\"usa\",\"new mexico\"],[\"canadian\",1458,\"usa\",\"texas\"],[\"canadian\",1458,\"usa\",\"oklahoma\"],[\"connecticut\",655,\"usa\",\"new hampshire\"],[\"connecticut\",655,\"usa\",\"vermont\"],[\"connecticut\",655,\"usa\",\"massachusetts\"],[\"connecticut\",655,\"usa\",\"connecticut\"],[\"delaware\",451,\"usa\",\"new york\"],[\"delaware\",451,\"usa\",\"pennsylvania\"],[\"delaware\",451,\"usa\",\"new jersey\"],[\"delaware\",451,\"usa\",\"delaware\"],[\"little missouri\",901,\"usa\",\"wyoming\"],[\"little missouri\",901,\"usa\",\"montana\"],[\"little missouri\",901,\"usa\",\"south dakota\"],[\"little missouri\",901,\"usa\",\"north dakota\"],[\"snake\",1670,\"usa\",\"wyoming\"],[\"snake\",1670,\"usa\",\"idaho\"],[\"snake\",1670,\"usa\",\"oregon\"],[\"snake\",1670,\"usa\",\"washington\"],[\"snake\",1670,\"usa\",\"washington\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"florida\"],[\"cimarron\",965,\"usa\",\"new mexico\"],[\"cimarron\",965,\"usa\",\"kansas\"],[\"cimarron\",965,\"usa\",\"oklahoma\"],[\"green\",1175,\"usa\",\"wyoming\"],[\"green\",1175,\"usa\",\"utah\"],[\"green\",1175,\"usa\",\"colorado\"],[\"green\",1175,\"usa\",\"utah\"],[\"north platte\",1094,\"usa\",\"colorado\"],[\"north platte\",1094,\"usa\",\"wyoming\"],[\"north platte\",1094,\"usa\",\"nebraska\"],[\"potomac\",462,\"usa\",\"west virginia\"],[\"potomac\",462,\"usa\",\"maryland\"],[\"potomac\",462,\"usa\",\"virginia\"],[\"potomac\",462,\"usa\",\"district of columbia\"],[\"republican\",679,\"usa\",\"colorado\"],[\"republican\",679,\"usa\",\"nebraska\"],[\"republican\",679,\"usa\",\"kansas\"],[\"rio grande\",3033,\"usa\",\"colorado\"],[\"rio grande\",3033,\"usa\",\"new mexico\"],[\"rio grande\",3033,\"usa\",\"texas\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"new mexico\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"utah\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"alabama\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"kentucky\"],[\"wabash\",764,\"usa\",\"ohio\"],[\"wabash\",764,\"usa\",\"indiana\"],[\"wabash\",764,\"usa\",\"illinois\"],[\"yellowstone\",1080,\"usa\",\"wyoming\"],[\"yellowstone\",1080,\"usa\",\"montana\"],[\"yellowstone\",1080,\"usa\",\"north dakota\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"allegheny\",523,\"usa\",\"new york\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"bighorn\",541,\"usa\",\"wyoming\"],[\"bighorn\",541,\"usa\",\"montana\"],[\"cheyenne\",848,\"usa\",\"wyoming\"],[\"cheyenne\",848,\"usa\",\"north dakota\"],[\"clark fork\",483,\"usa\",\"montana\"],[\"clark fork\",483,\"usa\",\"idaho\"],[\"columbia\",1953,\"usa\",\"washington\"],[\"columbia\",1953,\"usa\",\"oregon\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"cumberland\",1105,\"usa\",\"tennessee\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"dakota\",1142,\"usa\",\"north dakota\"],[\"dakota\",1142,\"usa\",\"south dakota\"],[\"gila\",805,\"usa\",\"new mexico\"],[\"gila\",805,\"usa\",\"arizona\"],[\"hudson\",492,\"usa\",\"new york\"],[\"hudson\",492,\"usa\",\"new jersey\"],[\"neosho\",740,\"usa\",\"kansas\"],[\"neosho\",740,\"usa\",\"oklahoma\"],[\"niobrara\",693,\"usa\",\"wyoming\"],[\"niobrara\",693,\"usa\",\"nebraska\"],[\"ouachita\",973,\"usa\",\"arkansas\"],[\"ouachita\",973,\"usa\",\"louisiana\"],[\"pearl\",788,\"usa\",\"michigan\"],[\"pearl\",788,\"usa\",\"louisiana\"],[\"pecos\",805,\"usa\",\"new mexico\"],[\"pecos\",805,\"usa\",\"texas\"],[\"powder\",603,\"usa\",\"wyoming\"],[\"powder\",603,\"usa\",\"montana\"],[\"roanoke\",660,\"usa\",\"virginia\"],[\"roanoke\",660,\"usa\",\"north carolina\"],[\"rock\",459,\"usa\",\"wisconsin\"],[\"rock\",459,\"usa\",\"illinois\"],[\"smoky hill\",869,\"usa\",\"colorado\"],[\"smoky hill\",869,\"usa\",\"kansas\"],[\"south platte\",682,\"usa\",\"colorado\"],[\"south platte\",682,\"usa\",\"nebraska\"],[\"st. francis\",684,\"usa\",\"missouri\"],[\"st. francis\",684,\"usa\",\"arkansas\"],[\"tombigbee\",658,\"usa\",\"mississippi\"],[\"tombigbee\",658,\"usa\",\"alabama\"],[\"washita\",805,\"usa\",\"texas\"],[\"washita\",805,\"usa\",\"oklahoma\"],[\"wateree catawba\",636,\"usa\",\"north carolina\"],[\"wateree catawba\",636,\"usa\",\"south carolina\"],[\"white\",1110,\"usa\",\"arkansas\"],[\"white\",1110,\"usa\",\"missouri\"],[\"white\",1110,\"usa\",\"arkansas\"]]}"
] | what is the longest river in the united states <table_name> : river col : river_name | length | country_name | traverse row 1 : mississippi | 3778 | usa | minnesota row 2 : mississippi | 3778 | usa | wisconsin row 3 : mississippi | 3778 | usa | iowa row 4 : mississippi | 3778 | usa | illinois row 5 : mississippi | 3778 | usa | missouri row 6 : mississippi | 3778 | usa | kentucky row 7 : mississippi | 3778 | usa | tennessee row 8 : mississippi | 3778 | usa | arkansas row 9 : mississippi | 3778 | usa | mississippi row 10 : mississippi | 3778 | usa | louisiana row 11 : mississippi | 3778 | usa | louisiana row 12 : missouri | 3968 | usa | montana row 13 : missouri | 3968 | usa | north dakota row 14 : missouri | 3968 | usa | south dakota row 15 : missouri | 3968 | usa | iowa row 16 : missouri | 3968 | usa | nebraska row 17 : missouri | 3968 | usa | missouri row 18 : missouri | 3968 | usa | missouri row 19 : colorado | 2333 | usa | colorado row 20 : colorado | 2333 | usa | utah row 21 : colorado | 2333 | usa | arizona row 22 : colorado | 2333 | usa | nevada row 23 : colorado | 2333 | usa | california row 24 : ohio | 1569 | usa | pennsylvania row 25 : ohio | 1569 | usa | west virginia row 26 : ohio | 1569 | usa | kentucky row 27 : ohio | 1569 | usa | indiana row 28 : ohio | 1569 | usa | illinois row 29 : ohio | 1569 | usa | illinois row 30 : ohio | 1569 | usa | ohio row 31 : red | 1638 | usa | new mexico row 32 : red | 1638 | usa | texas row 33 : red | 1638 | usa | oklahoma row 34 : red | 1638 | usa | arkansas row 35 : red | 1638 | usa | arkansas row 36 : red | 1638 | usa | louisiana row 37 : arkansas | 2333 | usa | colorado row 38 : arkansas | 2333 | usa | kansas row 39 : arkansas | 2333 | usa | oklahoma row 40 : arkansas | 2333 | usa | arkansas row 41 : canadian | 1458 | usa | colorado row 42 : canadian | 1458 | usa | new mexico row 43 : canadian | 1458 | usa | texas row 44 : canadian | 1458 | usa | oklahoma row 45 : connecticut | 655 | usa | new hampshire row 46 : connecticut | 655 | usa | vermont row 47 : connecticut | 655 | usa | massachusetts row 48 : connecticut | 655 | usa | connecticut row 49 : delaware | 451 | usa | new york row 50 : delaware | 451 | usa | pennsylvania row 51 : delaware | 451 | usa | new jersey row 52 : delaware | 451 | usa | delaware row 53 : little missouri | 901 | usa | wyoming row 54 : little missouri | 901 | usa | montana row 55 : little missouri | 901 | usa | south dakota row 56 : little missouri | 901 | usa | north dakota row 57 : snake | 1670 | usa | wyoming row 58 : snake | 1670 | usa | idaho row 59 : snake | 1670 | usa | oregon row 60 : snake | 1670 | usa | washington row 61 : snake | 1670 | usa | washington row 62 : chattahoochee | 702 | usa | georgia row 63 : chattahoochee | 702 | usa | georgia row 64 : chattahoochee | 702 | usa | florida row 65 : cimarron | 965 | usa | new mexico row 66 : cimarron | 965 | usa | kansas row 67 : cimarron | 965 | usa | oklahoma row 68 : green | 1175 | usa | wyoming row 69 : green | 1175 | usa | utah row 70 : green | 1175 | usa | colorado row 71 : green | 1175 | usa | utah row 72 : north platte | 1094 | usa | colorado row 73 : north platte | 1094 | usa | wyoming row 74 : north platte | 1094 | usa | nebraska row 75 : potomac | 462 | usa | west virginia row 76 : potomac | 462 | usa | maryland row 77 : potomac | 462 | usa | virginia row 78 : potomac | 462 | usa | district of columbia row 79 : republican | 679 | usa | colorado row 80 : republican | 679 | usa | nebraska row 81 : republican | 679 | usa | kansas row 82 : rio grande | 3033 | usa | colorado row 83 : rio grande | 3033 | usa | new mexico row 84 : rio grande | 3033 | usa | texas row 85 : san juan | 579 | usa | colorado row 86 : san juan | 579 | usa | new mexico row 87 : san juan | 579 | usa | colorado row 88 : san juan | 579 | usa | utah row 89 : tennessee | 1049 | usa | tennessee row 90 : tennessee | 1049 | usa | alabama row 91 : tennessee | 1049 | usa | tennessee row 92 : tennessee | 1049 | usa | kentucky row 93 : wabash | 764 | usa | ohio row 94 : wabash | 764 | usa | indiana row 95 : wabash | 764 | usa | illinois row 96 : yellowstone | 1080 | usa | wyoming row 97 : yellowstone | 1080 | usa | montana row 98 : yellowstone | 1080 | usa | north dakota row 99 : allegheny | 523 | usa | pennsylvania row 100 : allegheny | 523 | usa | new york row 101 : allegheny | 523 | usa | pennsylvania row 102 : bighorn | 541 | usa | wyoming row 103 : bighorn | 541 | usa | montana row 104 : cheyenne | 848 | usa | wyoming row 105 : cheyenne | 848 | usa | north dakota row 106 : clark fork | 483 | usa | montana row 107 : clark fork | 483 | usa | idaho row 108 : columbia | 1953 | usa | washington row 109 : columbia | 1953 | usa | oregon row 110 : cumberland | 1105 | usa | kentucky row 111 : cumberland | 1105 | usa | tennessee row 112 : cumberland | 1105 | usa | kentucky row 113 : dakota | 1142 | usa | north dakota row 114 : dakota | 1142 | usa | south dakota row 115 : gila | 805 | usa | new mexico row 116 : gila | 805 | usa | arizona row 117 : hudson | 492 | usa | new york row 118 : hudson | 492 | usa | new jersey row 119 : neosho | 740 | usa | kansas row 120 : neosho | 740 | usa | oklahoma row 121 : niobrara | 693 | usa | wyoming row 122 : niobrara | 693 | usa | nebraska row 123 : ouachita | 973 | usa | arkansas row 124 : ouachita | 973 | usa | louisiana row 125 : pearl | 788 | usa | michigan row 126 : pearl | 788 | usa | louisiana row 127 : pecos | 805 | usa | new mexico row 128 : pecos | 805 | usa | texas row 129 : powder | 603 | usa | wyoming row 130 : powder | 603 | usa | montana row 131 : roanoke | 660 | usa | virginia row 132 : roanoke | 660 | usa | north carolina row 133 : rock | 459 | usa | wisconsin row 134 : rock | 459 | usa | illinois row 135 : smoky hill | 869 | usa | colorado row 136 : smoky hill | 869 | usa | kansas row 137 : south platte | 682 | usa | colorado row 138 : south platte | 682 | usa | nebraska row 139 : st. francis | 684 | usa | missouri row 140 : st. francis | 684 | usa | arkansas row 141 : tombigbee | 658 | usa | mississippi row 142 : tombigbee | 658 | usa | alabama row 143 : washita | 805 | usa | texas row 144 : washita | 805 | usa | oklahoma row 145 : wateree catawba | 636 | usa | north carolina row 146 : wateree catawba | 636 | usa | south carolina row 147 : white | 1110 | usa | arkansas row 148 : white | 1110 | usa | missouri row 149 : white | 1110 | usa | arkansas | col : river_name row 1 : missouri row 2 : missouri row 3 : missouri row 4 : missouri row 5 : missouri row 6 : missouri row 7 : missouri |
SELECT river.river_name FROM river WHERE river.traverse='illinois'; | what river runs through illinois | {"columns":["river_name"],"index":[0,1,2,3,4],"data":[["mississippi"],["ohio"],["ohio"],["wabash"],["rock"]]} | [
"river"
] | [
"{\"columns\":[\"river_name\",\"length\",\"country_name\",\"traverse\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148],\"data\":[[\"mississippi\",3778,\"usa\",\"minnesota\"],[\"mississippi\",3778,\"usa\",\"wisconsin\"],[\"mississippi\",3778,\"usa\",\"iowa\"],[\"mississippi\",3778,\"usa\",\"illinois\"],[\"mississippi\",3778,\"usa\",\"missouri\"],[\"mississippi\",3778,\"usa\",\"kentucky\"],[\"mississippi\",3778,\"usa\",\"tennessee\"],[\"mississippi\",3778,\"usa\",\"arkansas\"],[\"mississippi\",3778,\"usa\",\"mississippi\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"missouri\",3968,\"usa\",\"montana\"],[\"missouri\",3968,\"usa\",\"north dakota\"],[\"missouri\",3968,\"usa\",\"south dakota\"],[\"missouri\",3968,\"usa\",\"iowa\"],[\"missouri\",3968,\"usa\",\"nebraska\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"colorado\",2333,\"usa\",\"colorado\"],[\"colorado\",2333,\"usa\",\"utah\"],[\"colorado\",2333,\"usa\",\"arizona\"],[\"colorado\",2333,\"usa\",\"nevada\"],[\"colorado\",2333,\"usa\",\"california\"],[\"ohio\",1569,\"usa\",\"pennsylvania\"],[\"ohio\",1569,\"usa\",\"west virginia\"],[\"ohio\",1569,\"usa\",\"kentucky\"],[\"ohio\",1569,\"usa\",\"indiana\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"ohio\"],[\"red\",1638,\"usa\",\"new mexico\"],[\"red\",1638,\"usa\",\"texas\"],[\"red\",1638,\"usa\",\"oklahoma\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"louisiana\"],[\"arkansas\",2333,\"usa\",\"colorado\"],[\"arkansas\",2333,\"usa\",\"kansas\"],[\"arkansas\",2333,\"usa\",\"oklahoma\"],[\"arkansas\",2333,\"usa\",\"arkansas\"],[\"canadian\",1458,\"usa\",\"colorado\"],[\"canadian\",1458,\"usa\",\"new mexico\"],[\"canadian\",1458,\"usa\",\"texas\"],[\"canadian\",1458,\"usa\",\"oklahoma\"],[\"connecticut\",655,\"usa\",\"new hampshire\"],[\"connecticut\",655,\"usa\",\"vermont\"],[\"connecticut\",655,\"usa\",\"massachusetts\"],[\"connecticut\",655,\"usa\",\"connecticut\"],[\"delaware\",451,\"usa\",\"new york\"],[\"delaware\",451,\"usa\",\"pennsylvania\"],[\"delaware\",451,\"usa\",\"new jersey\"],[\"delaware\",451,\"usa\",\"delaware\"],[\"little missouri\",901,\"usa\",\"wyoming\"],[\"little missouri\",901,\"usa\",\"montana\"],[\"little missouri\",901,\"usa\",\"south dakota\"],[\"little missouri\",901,\"usa\",\"north dakota\"],[\"snake\",1670,\"usa\",\"wyoming\"],[\"snake\",1670,\"usa\",\"idaho\"],[\"snake\",1670,\"usa\",\"oregon\"],[\"snake\",1670,\"usa\",\"washington\"],[\"snake\",1670,\"usa\",\"washington\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"florida\"],[\"cimarron\",965,\"usa\",\"new mexico\"],[\"cimarron\",965,\"usa\",\"kansas\"],[\"cimarron\",965,\"usa\",\"oklahoma\"],[\"green\",1175,\"usa\",\"wyoming\"],[\"green\",1175,\"usa\",\"utah\"],[\"green\",1175,\"usa\",\"colorado\"],[\"green\",1175,\"usa\",\"utah\"],[\"north platte\",1094,\"usa\",\"colorado\"],[\"north platte\",1094,\"usa\",\"wyoming\"],[\"north platte\",1094,\"usa\",\"nebraska\"],[\"potomac\",462,\"usa\",\"west virginia\"],[\"potomac\",462,\"usa\",\"maryland\"],[\"potomac\",462,\"usa\",\"virginia\"],[\"potomac\",462,\"usa\",\"district of columbia\"],[\"republican\",679,\"usa\",\"colorado\"],[\"republican\",679,\"usa\",\"nebraska\"],[\"republican\",679,\"usa\",\"kansas\"],[\"rio grande\",3033,\"usa\",\"colorado\"],[\"rio grande\",3033,\"usa\",\"new mexico\"],[\"rio grande\",3033,\"usa\",\"texas\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"new mexico\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"utah\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"alabama\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"kentucky\"],[\"wabash\",764,\"usa\",\"ohio\"],[\"wabash\",764,\"usa\",\"indiana\"],[\"wabash\",764,\"usa\",\"illinois\"],[\"yellowstone\",1080,\"usa\",\"wyoming\"],[\"yellowstone\",1080,\"usa\",\"montana\"],[\"yellowstone\",1080,\"usa\",\"north dakota\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"allegheny\",523,\"usa\",\"new york\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"bighorn\",541,\"usa\",\"wyoming\"],[\"bighorn\",541,\"usa\",\"montana\"],[\"cheyenne\",848,\"usa\",\"wyoming\"],[\"cheyenne\",848,\"usa\",\"north dakota\"],[\"clark fork\",483,\"usa\",\"montana\"],[\"clark fork\",483,\"usa\",\"idaho\"],[\"columbia\",1953,\"usa\",\"washington\"],[\"columbia\",1953,\"usa\",\"oregon\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"cumberland\",1105,\"usa\",\"tennessee\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"dakota\",1142,\"usa\",\"north dakota\"],[\"dakota\",1142,\"usa\",\"south dakota\"],[\"gila\",805,\"usa\",\"new mexico\"],[\"gila\",805,\"usa\",\"arizona\"],[\"hudson\",492,\"usa\",\"new york\"],[\"hudson\",492,\"usa\",\"new jersey\"],[\"neosho\",740,\"usa\",\"kansas\"],[\"neosho\",740,\"usa\",\"oklahoma\"],[\"niobrara\",693,\"usa\",\"wyoming\"],[\"niobrara\",693,\"usa\",\"nebraska\"],[\"ouachita\",973,\"usa\",\"arkansas\"],[\"ouachita\",973,\"usa\",\"louisiana\"],[\"pearl\",788,\"usa\",\"michigan\"],[\"pearl\",788,\"usa\",\"louisiana\"],[\"pecos\",805,\"usa\",\"new mexico\"],[\"pecos\",805,\"usa\",\"texas\"],[\"powder\",603,\"usa\",\"wyoming\"],[\"powder\",603,\"usa\",\"montana\"],[\"roanoke\",660,\"usa\",\"virginia\"],[\"roanoke\",660,\"usa\",\"north carolina\"],[\"rock\",459,\"usa\",\"wisconsin\"],[\"rock\",459,\"usa\",\"illinois\"],[\"smoky hill\",869,\"usa\",\"colorado\"],[\"smoky hill\",869,\"usa\",\"kansas\"],[\"south platte\",682,\"usa\",\"colorado\"],[\"south platte\",682,\"usa\",\"nebraska\"],[\"st. francis\",684,\"usa\",\"missouri\"],[\"st. francis\",684,\"usa\",\"arkansas\"],[\"tombigbee\",658,\"usa\",\"mississippi\"],[\"tombigbee\",658,\"usa\",\"alabama\"],[\"washita\",805,\"usa\",\"texas\"],[\"washita\",805,\"usa\",\"oklahoma\"],[\"wateree catawba\",636,\"usa\",\"north carolina\"],[\"wateree catawba\",636,\"usa\",\"south carolina\"],[\"white\",1110,\"usa\",\"arkansas\"],[\"white\",1110,\"usa\",\"missouri\"],[\"white\",1110,\"usa\",\"arkansas\"]]}"
] | what river runs through illinois <table_name> : river col : river_name | length | country_name | traverse row 1 : mississippi | 3778 | usa | minnesota row 2 : mississippi | 3778 | usa | wisconsin row 3 : mississippi | 3778 | usa | iowa row 4 : mississippi | 3778 | usa | illinois row 5 : mississippi | 3778 | usa | missouri row 6 : mississippi | 3778 | usa | kentucky row 7 : mississippi | 3778 | usa | tennessee row 8 : mississippi | 3778 | usa | arkansas row 9 : mississippi | 3778 | usa | mississippi row 10 : mississippi | 3778 | usa | louisiana row 11 : mississippi | 3778 | usa | louisiana row 12 : missouri | 3968 | usa | montana row 13 : missouri | 3968 | usa | north dakota row 14 : missouri | 3968 | usa | south dakota row 15 : missouri | 3968 | usa | iowa row 16 : missouri | 3968 | usa | nebraska row 17 : missouri | 3968 | usa | missouri row 18 : missouri | 3968 | usa | missouri row 19 : colorado | 2333 | usa | colorado row 20 : colorado | 2333 | usa | utah row 21 : colorado | 2333 | usa | arizona row 22 : colorado | 2333 | usa | nevada row 23 : colorado | 2333 | usa | california row 24 : ohio | 1569 | usa | pennsylvania row 25 : ohio | 1569 | usa | west virginia row 26 : ohio | 1569 | usa | kentucky row 27 : ohio | 1569 | usa | indiana row 28 : ohio | 1569 | usa | illinois row 29 : ohio | 1569 | usa | illinois row 30 : ohio | 1569 | usa | ohio row 31 : red | 1638 | usa | new mexico row 32 : red | 1638 | usa | texas row 33 : red | 1638 | usa | oklahoma row 34 : red | 1638 | usa | arkansas row 35 : red | 1638 | usa | arkansas row 36 : red | 1638 | usa | louisiana row 37 : arkansas | 2333 | usa | colorado row 38 : arkansas | 2333 | usa | kansas row 39 : arkansas | 2333 | usa | oklahoma row 40 : arkansas | 2333 | usa | arkansas row 41 : canadian | 1458 | usa | colorado row 42 : canadian | 1458 | usa | new mexico row 43 : canadian | 1458 | usa | texas row 44 : canadian | 1458 | usa | oklahoma row 45 : connecticut | 655 | usa | new hampshire row 46 : connecticut | 655 | usa | vermont row 47 : connecticut | 655 | usa | massachusetts row 48 : connecticut | 655 | usa | connecticut row 49 : delaware | 451 | usa | new york row 50 : delaware | 451 | usa | pennsylvania row 51 : delaware | 451 | usa | new jersey row 52 : delaware | 451 | usa | delaware row 53 : little missouri | 901 | usa | wyoming row 54 : little missouri | 901 | usa | montana row 55 : little missouri | 901 | usa | south dakota row 56 : little missouri | 901 | usa | north dakota row 57 : snake | 1670 | usa | wyoming row 58 : snake | 1670 | usa | idaho row 59 : snake | 1670 | usa | oregon row 60 : snake | 1670 | usa | washington row 61 : snake | 1670 | usa | washington row 62 : chattahoochee | 702 | usa | georgia row 63 : chattahoochee | 702 | usa | georgia row 64 : chattahoochee | 702 | usa | florida row 65 : cimarron | 965 | usa | new mexico row 66 : cimarron | 965 | usa | kansas row 67 : cimarron | 965 | usa | oklahoma row 68 : green | 1175 | usa | wyoming row 69 : green | 1175 | usa | utah row 70 : green | 1175 | usa | colorado row 71 : green | 1175 | usa | utah row 72 : north platte | 1094 | usa | colorado row 73 : north platte | 1094 | usa | wyoming row 74 : north platte | 1094 | usa | nebraska row 75 : potomac | 462 | usa | west virginia row 76 : potomac | 462 | usa | maryland row 77 : potomac | 462 | usa | virginia row 78 : potomac | 462 | usa | district of columbia row 79 : republican | 679 | usa | colorado row 80 : republican | 679 | usa | nebraska row 81 : republican | 679 | usa | kansas row 82 : rio grande | 3033 | usa | colorado row 83 : rio grande | 3033 | usa | new mexico row 84 : rio grande | 3033 | usa | texas row 85 : san juan | 579 | usa | colorado row 86 : san juan | 579 | usa | new mexico row 87 : san juan | 579 | usa | colorado row 88 : san juan | 579 | usa | utah row 89 : tennessee | 1049 | usa | tennessee row 90 : tennessee | 1049 | usa | alabama row 91 : tennessee | 1049 | usa | tennessee row 92 : tennessee | 1049 | usa | kentucky row 93 : wabash | 764 | usa | ohio row 94 : wabash | 764 | usa | indiana row 95 : wabash | 764 | usa | illinois row 96 : yellowstone | 1080 | usa | wyoming row 97 : yellowstone | 1080 | usa | montana row 98 : yellowstone | 1080 | usa | north dakota row 99 : allegheny | 523 | usa | pennsylvania row 100 : allegheny | 523 | usa | new york row 101 : allegheny | 523 | usa | pennsylvania row 102 : bighorn | 541 | usa | wyoming row 103 : bighorn | 541 | usa | montana row 104 : cheyenne | 848 | usa | wyoming row 105 : cheyenne | 848 | usa | north dakota row 106 : clark fork | 483 | usa | montana row 107 : clark fork | 483 | usa | idaho row 108 : columbia | 1953 | usa | washington row 109 : columbia | 1953 | usa | oregon row 110 : cumberland | 1105 | usa | kentucky row 111 : cumberland | 1105 | usa | tennessee row 112 : cumberland | 1105 | usa | kentucky row 113 : dakota | 1142 | usa | north dakota row 114 : dakota | 1142 | usa | south dakota row 115 : gila | 805 | usa | new mexico row 116 : gila | 805 | usa | arizona row 117 : hudson | 492 | usa | new york row 118 : hudson | 492 | usa | new jersey row 119 : neosho | 740 | usa | kansas row 120 : neosho | 740 | usa | oklahoma row 121 : niobrara | 693 | usa | wyoming row 122 : niobrara | 693 | usa | nebraska row 123 : ouachita | 973 | usa | arkansas row 124 : ouachita | 973 | usa | louisiana row 125 : pearl | 788 | usa | michigan row 126 : pearl | 788 | usa | louisiana row 127 : pecos | 805 | usa | new mexico row 128 : pecos | 805 | usa | texas row 129 : powder | 603 | usa | wyoming row 130 : powder | 603 | usa | montana row 131 : roanoke | 660 | usa | virginia row 132 : roanoke | 660 | usa | north carolina row 133 : rock | 459 | usa | wisconsin row 134 : rock | 459 | usa | illinois row 135 : smoky hill | 869 | usa | colorado row 136 : smoky hill | 869 | usa | kansas row 137 : south platte | 682 | usa | colorado row 138 : south platte | 682 | usa | nebraska row 139 : st. francis | 684 | usa | missouri row 140 : st. francis | 684 | usa | arkansas row 141 : tombigbee | 658 | usa | mississippi row 142 : tombigbee | 658 | usa | alabama row 143 : washita | 805 | usa | texas row 144 : washita | 805 | usa | oklahoma row 145 : wateree catawba | 636 | usa | north carolina row 146 : wateree catawba | 636 | usa | south carolina row 147 : white | 1110 | usa | arkansas row 148 : white | 1110 | usa | missouri row 149 : white | 1110 | usa | arkansas | col : river_name row 1 : mississippi row 2 : ohio row 3 : ohio row 4 : wabash row 5 : rock |
SELECT state.population FROM state WHERE state.state_name='texas'; | how many people live in texas | {"columns":["population"],"index":[0],"data":[[14229000]]} | [
"state"
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"{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}"
] | how many people live in texas <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318 | col : population row 1 : 14229000 |
SELECT highlow.highest_point FROM highlow WHERE highlow.state_name='kansas'; | what is the highest point in kansas | {"columns":["highest_point"],"index":[0],"data":[["mount sunflower"]]} | [
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"{\"columns\":[\"state_name\",\"highest_elevation\",\"lowest_point\",\"highest_point\",\"lowest_elevation\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",\"734\",\"gulf of mexico\",\"cheaha mountain\",\"0\"],[\"alaska\",\"6194\",\"pacific ocean\",\"mount mckinley\",\"0\"],[\"arizona\",\"3851\",\"colorado river\",\"humphreys peak\",\"21\"],[\"arkansas\",\"839\",\"ouachita river\",\"magazine mountain\",\"17\"],[\"california\",\"4418\",\"death valley\",\"mount whitney\",\"-85\"],[\"colorado\",\"4399\",\"arkansas river\",\"mount elbert\",\"1021\"],[\"connecticut\",\"725\",\"long island sound\",\"mount frissell\",\"0\"],[\"delaware\",\"135\",\"atlantic ocean\",\"centerville\",\"0\"],[\"district of columbia\",\"125\",\"potomac river\",\"tenleytown\",\"0\"],[\"florida\",\"105\",\"atlantic ocean\",\"walton county\",\"0\"],[\"georgia\",\"1458\",\"atlantic ocean\",\"brasstown bald\",\"0\"],[\"hawaii\",\"4205\",\"pacific ocean\",\"mauna kea\",\"0\"],[\"idaho\",\"3859\",\"snake river\",\"borah peak\",\"216\"],[\"illinois\",\"376\",\"mississippi river\",\"charles mound\",\"85\"],[\"indiana\",\"383\",\"ohio river\",\"franklin township\",\"98\"],[\"iowa\",\"511\",\"mississippi river\",\"ocheyedan mound\",\"146\"],[\"kansas\",\"1231\",\"verdigris river\",\"mount sunflower\",\"207\"],[\"kentucky\",\"1263\",\"mississippi river\",\"black mountain\",\"78\"],[\"louisiana\",\"163\",\"new orleans\",\"driskill mountain\",\"-1\"],[\"maine\",\"1606\",\"atlantic ocean\",\"mount katahdin\",\"0\"],[\"maryland\",\"1024\",\"atlantic ocean\",\"backbone mountain\",\"0\"],[\"massachusetts\",\"1064\",\"atlantic ocean\",\"mount greylock\",\"0\"],[\"michigan\",\"604\",\"lake erie\",\"mount curwood\",\"174\"],[\"minnesota\",\"701\",\"lake superior\",\"eagle mountain\",\"183\"],[\"mississippi\",\"246\",\"gulf of mexico\",\"woodall mountain\",\"0\"],[\"missouri\",\"540\",\"st. francis river\",\"taum sauk mountain\",\"70\"],[\"montana\",\"3901\",\"kootenai river\",\"granite peak\",\"549\"],[\"nebraska\",\"1654\",\"southeast corner\",\"johnson township\",\"256\"],[\"nevada\",\"4005\",\"colorado river\",\"boundary peak\",\"143\"],[\"new hampshire\",\"1917\",\"atlantic ocean\",\"mount washington\",\"0\"],[\"new jersey\",\"550\",\"atlantic ocean\",\"high point\",\"0\"],[\"new mexico\",\"4011\",\"red bluff reservoir\",\"wheeler peak\",\"859\"],[\"new york\",\"1629\",\"atlantic ocean\",\"mount marcy\",\"0\"],[\"north carolina\",\"2037\",\"atlantic ocean\",\"mount mitchell\",\"0\"],[\"north dakota\",\"1069\",\"red river\",\"white butte\",\"229\"],[\"ohio\",\"472\",\"ohio river\",\"campbell hill\",\"132\"],[\"oklahoma\",\"1516\",\"little river\",\"black mesa\",\"87\"],[\"oregon\",\"3424\",\"pacific ocean\",\"mount hood\",\"0\"],[\"pennsylvania\",\"979\",\"delaware river\",\"mount davis\",\"0\"],[\"rhode island\",\"247\",\"atlantic ocean\",\"jerimoth hill\",\"0\"],[\"south carolina\",\"1085\",\"atlantic ocean\",\"sassafras mountain\",\"0\"],[\"south dakota\",\"2207\",\"big stone lake\",\"harney peak\",\"284\"],[\"tennessee\",\"2025\",\"mississippi river\",\"clingmans dome\",\"55\"],[\"texas\",\"2667\",\"gulf of mexico\",\"guadalupe peak\",\"0\"],[\"utah\",\"4123\",\"beaver dam creek\",\"kings peak\",\"610\"],[\"vermont\",\"1339\",\"lake champlain\",\"mount mansfield\",\"29\"],[\"virginia\",\"1746\",\"atlantic ocean\",\"mount rogers\",\"0\"],[\"washington\",\"4392\",\"pacific ocean\",\"mount rainier\",\"0\"],[\"west virginia\",\"1482\",\"potomac river\",\"spruce knob\",\"73\"],[\"wisconsin\",\"595\",\"lake michigan\",\"timms hill\",\"177\"],[\"wyoming\",\"4202\",\"belle fourche river\",\"gannett peak\",\"945\"]]}"
] | what is the highest point in kansas <table_name> : highlow col : state_name | highest_elevation | lowest_point | highest_point | lowest_elevation row 1 : alabama | 734 | gulf of mexico | cheaha mountain | 0 row 2 : alaska | 6194 | pacific ocean | mount mckinley | 0 row 3 : arizona | 3851 | colorado river | humphreys peak | 21 row 4 : arkansas | 839 | ouachita river | magazine mountain | 17 row 5 : california | 4418 | death valley | mount whitney | -85 row 6 : colorado | 4399 | arkansas river | mount elbert | 1021 row 7 : connecticut | 725 | long island sound | mount frissell | 0 row 8 : delaware | 135 | atlantic ocean | centerville | 0 row 9 : district of columbia | 125 | potomac river | tenleytown | 0 row 10 : florida | 105 | atlantic ocean | walton county | 0 row 11 : georgia | 1458 | atlantic ocean | brasstown bald | 0 row 12 : hawaii | 4205 | pacific ocean | mauna kea | 0 row 13 : idaho | 3859 | snake river | borah peak | 216 row 14 : illinois | 376 | mississippi river | charles mound | 85 row 15 : indiana | 383 | ohio river | franklin township | 98 row 16 : iowa | 511 | mississippi river | ocheyedan mound | 146 row 17 : kansas | 1231 | verdigris river | mount sunflower | 207 row 18 : kentucky | 1263 | mississippi river | black mountain | 78 row 19 : louisiana | 163 | new orleans | driskill mountain | -1 row 20 : maine | 1606 | atlantic ocean | mount katahdin | 0 row 21 : maryland | 1024 | atlantic ocean | backbone mountain | 0 row 22 : massachusetts | 1064 | atlantic ocean | mount greylock | 0 row 23 : michigan | 604 | lake erie | mount curwood | 174 row 24 : minnesota | 701 | lake superior | eagle mountain | 183 row 25 : mississippi | 246 | gulf of mexico | woodall mountain | 0 row 26 : missouri | 540 | st. francis river | taum sauk mountain | 70 row 27 : montana | 3901 | kootenai river | granite peak | 549 row 28 : nebraska | 1654 | southeast corner | johnson township | 256 row 29 : nevada | 4005 | colorado river | boundary peak | 143 row 30 : new hampshire | 1917 | atlantic ocean | mount washington | 0 row 31 : new jersey | 550 | atlantic ocean | high point | 0 row 32 : new mexico | 4011 | red bluff reservoir | wheeler peak | 859 row 33 : new york | 1629 | atlantic ocean | mount marcy | 0 row 34 : north carolina | 2037 | atlantic ocean | mount mitchell | 0 row 35 : north dakota | 1069 | red river | white butte | 229 row 36 : ohio | 472 | ohio river | campbell hill | 132 row 37 : oklahoma | 1516 | little river | black mesa | 87 row 38 : oregon | 3424 | pacific ocean | mount hood | 0 row 39 : pennsylvania | 979 | delaware river | mount davis | 0 row 40 : rhode island | 247 | atlantic ocean | jerimoth hill | 0 row 41 : south carolina | 1085 | atlantic ocean | sassafras mountain | 0 row 42 : south dakota | 2207 | big stone lake | harney peak | 284 row 43 : tennessee | 2025 | mississippi river | clingmans dome | 55 row 44 : texas | 2667 | gulf of mexico | guadalupe peak | 0 row 45 : utah | 4123 | beaver dam creek | kings peak | 610 row 46 : vermont | 1339 | lake champlain | mount mansfield | 29 row 47 : virginia | 1746 | atlantic ocean | mount rogers | 0 row 48 : washington | 4392 | pacific ocean | mount rainier | 0 row 49 : west virginia | 1482 | potomac river | spruce knob | 73 row 50 : wisconsin | 595 | lake michigan | timms hill | 177 row 51 : wyoming | 4202 | belle fourche river | gannett peak | 945 | col : highest_point row 1 : mount sunflower |
SELECT city.population FROM city WHERE city.city_name='dallas'; | what is the population of dallas | {"columns":["population"],"index":[0],"data":[[904078]]} | [
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] | what is the population of dallas <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming | col : population row 1 : 904078 |
SELECT city.city_name FROM city WHERE city.state_name='texas'; | give me the cities which are in texas | {"columns":["city_name"],"index":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29],"data":[["houston"],["dallas"],["san antonio"],["el paso"],["fort worth"],["austin"],["corpus christi"],["lubbock"],["arlington"],["amarillo"],["garland"],["beaumont"],["pasadena"],["irving"],["waco"],["abilene"],["wichita falls"],["laredo"],["odessa"],["brownsville"],["san angelo"],["richardson"],["plano"],["grand prairie"],["midland"],["tyler"],["mesquite"],["mcallen"],["longview"],["port arthur"]]} | [
"city"
] | [
"{\"columns\":[\"city_name\",\"population\",\"country_name\",\"state_name\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385],\"data\":[[\"birmingham\",284413,\"usa\",\"alabama\"],[\"mobile\",200452,\"usa\",\"alabama\"],[\"montgomery\",177857,\"usa\",\"alabama\"],[\"huntsville\",142513,\"usa\",\"alabama\"],[\"tuscaloosa\",75143,\"usa\",\"alabama\"],[\"anchorage\",174431,\"usa\",\"alaska\"],[\"phoenix\",789704,\"usa\",\"arizona\"],[\"tucson\",330537,\"usa\",\"arizona\"],[\"mesa\",152453,\"usa\",\"arizona\"],[\"tempe\",106919,\"usa\",\"arizona\"],[\"glendale\",96988,\"usa\",\"arizona\"],[\"scottsdale\",88622,\"usa\",\"arizona\"],[\"little rock\",158915,\"usa\",\"arkansas\"],[\"fort smith\",71384,\"usa\",\"arkansas\"],[\"north little rock\",64388,\"usa\",\"arkansas\"],[\"los angeles\",2966850,\"usa\",\"california\"],[\"san diego\",875538,\"usa\",\"california\"],[\"san francisco\",678974,\"usa\",\"california\"],[\"san jose\",629442,\"usa\",\"california\"],[\"long beach\",361334,\"usa\",\"california\"],[\"oakland\",339337,\"usa\",\"california\"],[\"sacramento\",275741,\"usa\",\"california\"],[\"anaheim\",219311,\"usa\",\"california\"],[\"fresno\",218202,\"usa\",\"california\"],[\"santa ana\",203713,\"usa\",\"california\"],[\"riverside\",170876,\"usa\",\"california\"],[\"huntington beach\",170505,\"usa\",\"california\"],[\"stockton\",149779,\"usa\",\"california\"],[\"glendale\",139060,\"usa\",\"california\"],[\"fremont\",131945,\"usa\",\"california\"],[\"torrance\",131497,\"usa\",\"california\"],[\"garden grove\",123351,\"usa\",\"california\"],[\"san 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] | give me the cities which are in texas <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming | col : city_name row 1 : houston row 2 : dallas row 3 : san antonio row 4 : el paso row 5 : fort worth row 6 : austin row 7 : corpus christi row 8 : lubbock row 9 : arlington row 10 : amarillo row 11 : garland row 12 : beaumont row 13 : pasadena row 14 : irving row 15 : waco row 16 : abilene row 17 : wichita falls row 18 : laredo row 19 : odessa row 20 : brownsville row 21 : san angelo row 22 : richardson row 23 : plano row 24 : grand prairie row 25 : midland row 26 : tyler row 27 : mesquite row 28 : mcallen row 29 : longview row 30 : port arthur |
SELECT city.state_name FROM city WHERE city.state_name='montana' AND city.population=(SELECT max(city.population) FROM city WHERE city.state_name='montana'); | which state is the largest city in montana in ? | {"columns":["state_name"],"index":[0],"data":[["montana"]]} | [
"city"
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bernardino\",118794,\"usa\",\"california\"],[\"pasadena\",118072,\"usa\",\"california\"],[\"east los angeles\",110017,\"usa\",\"california\"],[\"oxnard\",108195,\"usa\",\"california\"],[\"modesto\",106963,\"usa\",\"california\"],[\"sunnyvale\",106618,\"usa\",\"california\"],[\"bakersfield\",105611,\"usa\",\"california\"],[\"concord\",103763,\"usa\",\"california\"],[\"berkeley\",103328,\"usa\",\"california\"],[\"fullerton\",102246,\"usa\",\"california\"],[\"inglewood\",94162,\"usa\",\"california\"],[\"hayward\",93585,\"usa\",\"california\"],[\"pomona\",92742,\"usa\",\"california\"],[\"orange\",91450,\"usa\",\"california\"],[\"ontario\",88820,\"usa\",\"california\"],[\"santa monica\",88314,\"usa\",\"california\"],[\"santa clara\",87700,\"usa\",\"california\"],[\"citrus heights\",85911,\"usa\",\"california\"],[\"norwalk\",84901,\"usa\",\"california\"],[\"burbank\",84625,\"usa\",\"california\"],[\"chula vista\",83927,\"usa\",\"california\"],[\"santa 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] | which state is the largest city in montana in ? <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming | col : state_name row 1 : montana |
SELECT city.city_name FROM city WHERE city.state_name IN(SELECT border_info.state_name FROM border_info WHERE border_info.border='california') AND city.population=(SELECT max(city.population) FROM city WHERE city.state_name IN(SELECT border_info.state_name FROM border_info WHERE border_info.border='california')); | what is the largest city in states that border california | {"columns":["city_name"],"index":[0],"data":[["phoenix"]]} | [
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"{\"columns\":[\"city_name\",\"population\",\"country_name\",\"state_name\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385],\"data\":[[\"birmingham\",284413,\"usa\",\"alabama\"],[\"mobile\",200452,\"usa\",\"alabama\"],[\"montgomery\",177857,\"usa\",\"alabama\"],[\"huntsville\",142513,\"usa\",\"alabama\"],[\"tuscaloosa\",75143,\"usa\",\"alabama\"],[\"anchorage\",174431,\"usa\",\"alaska\"],[\"phoenix\",789704,\"usa\",\"arizona\"],[\"tucson\",330537,\"usa\",\"arizona\"],[\"mesa\",152453,\"usa\",\"arizona\"],[\"tempe\",106919,\"usa\",\"arizona\"],[\"glendale\",96988,\"usa\",\"arizona\"],[\"scottsdale\",88622,\"usa\",\"arizona\"],[\"little 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] | what is the largest city in states that border california <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming <table_name> : border_info col : state_name | border row 1 : alabama | tennessee row 2 : alabama | georgia row 3 : alabama | florida row 4 : alabama | mississippi row 5 : arizona | utah row 6 : arizona | colorado row 7 : arizona | new mexico row 8 : arizona | california row 9 : arizona | nevada row 10 : arkansas | missouri row 11 : arkansas | tennessee row 12 : arkansas | mississippi row 13 : arkansas | louisiana row 14 : arkansas | texas row 15 : arkansas | oklahoma row 16 : california | oregon row 17 : california | nevada row 18 : california | arizona row 19 : colorado | nebraska row 20 : colorado | kansas row 21 : colorado | oklahoma row 22 : colorado | new mexico row 23 : colorado | arizona row 24 : colorado | utah row 25 : colorado | wyoming row 26 : connecticut | massachusetts row 27 : connecticut | rhode island row 28 : connecticut | new york row 29 : delaware | pennsylvania row 30 : delaware | new jersey row 31 : delaware | maryland row 32 : district of columbia | maryland row 33 : district of columbia | virginia row 34 : florida | georgia row 35 : florida | alabama row 36 : georgia | north carolina row 37 : georgia | south carolina row 38 : georgia | florida row 39 : georgia | alabama row 40 : georgia | tennessee row 41 : idaho | montana row 42 : idaho | wyoming row 43 : idaho | utah row 44 : idaho | nevada row 45 : idaho | oregon row 46 : idaho | washington row 47 : illinois | wisconsin row 48 : illinois | indiana row 49 : illinois | kentucky row 50 : illinois | missouri row 51 : illinois | iowa row 52 : indiana | michigan row 53 : indiana | ohio row 54 : indiana | kentucky row 55 : indiana | illinois row 56 : iowa | minnesota row 57 : iowa | wisconsin row 58 : iowa | illinois row 59 : iowa | missouri row 60 : iowa | nebraska row 61 : iowa | south dakota row 62 : kansas | nebraska row 63 : kansas | missouri row 64 : kansas | oklahoma row 65 : kansas | colorado row 66 : kentucky | indiana row 67 : kentucky | ohio row 68 : kentucky | west virginia row 69 : kentucky | virginia row 70 : kentucky | tennessee row 71 : kentucky | missouri row 72 : kentucky | illinois row 73 : louisiana | arkansas row 74 : louisiana | mississippi row 75 : louisiana | texas row 76 : maine | new hampshire row 77 : maryland | pennsylvania row 78 : maryland | delaware row 79 : maryland | virginia row 80 : maryland | district of columbia row 81 : maryland | west virginia row 82 : massachusetts | new hampshire row 83 : massachusetts | rhode island row 84 : massachusetts | connecticut row 85 : massachusetts | new york row 86 : massachusetts | vermont row 87 : michigan | ohio row 88 : michigan | indiana row 89 : michigan | wisconsin row 90 : minnesota | wisconsin row 91 : minnesota | iowa row 92 : minnesota | south dakota row 93 : minnesota | north dakota row 94 : mississippi | tennessee row 95 : mississippi | alabama row 96 : mississippi | louisiana row 97 : mississippi | arkansas row 98 : missouri | iowa row 99 : missouri | illinois row 100 : missouri | kentucky row 101 : missouri | tennessee row 102 : missouri | arkansas row 103 : missouri | oklahoma row 104 : missouri | kansas row 105 : missouri | nebraska row 106 : montana | north dakota row 107 : montana | south dakota row 108 : montana | wyoming row 109 : montana | idaho row 110 : nebraska | south dakota row 111 : nebraska | iowa row 112 : nebraska | missouri row 113 : nebraska | kansas row 114 : nebraska | colorado row 115 : nebraska | wyoming row 116 : nevada | idaho row 117 : nevada | utah row 118 : nevada | arizona row 119 : nevada | california row 120 : nevada | oregon row 121 : new hampshire | maine row 122 : new hampshire | massachusetts row 123 : new hampshire | vermont row 124 : new jersey | new york row 125 : new jersey | delaware row 126 : new jersey | pennsylvania row 127 : new mexico | colorado row 128 : new mexico | oklahoma row 129 : new mexico | texas row 130 : new mexico | arizona row 131 : new mexico | utah row 132 : new york | vermont row 133 : new york | massachusetts row 134 : new york | connecticut row 135 : new york | new jersey row 136 : new york | pennsylvania row 137 : north carolina | virginia row 138 : north carolina | south carolina row 139 : north carolina | georgia row 140 : north carolina | tennessee row 141 : north dakota | minnesota row 142 : north dakota | south dakota row 143 : north dakota | montana row 144 : ohio | michigan row 145 : ohio | pennsylvania row 146 : ohio | west virginia row 147 : ohio | kentucky row 148 : ohio | indiana row 149 : oklahoma | kansas row 150 : oklahoma | missouri row 151 : oklahoma | arkansas row 152 : oklahoma | texas row 153 : oklahoma | new mexico row 154 : oklahoma | colorado row 155 : oregon | washington row 156 : oregon | idaho row 157 : oregon | nevada row 158 : oregon | california row 159 : pennsylvania | new york row 160 : pennsylvania | new jersey row 161 : pennsylvania | delaware row 162 : pennsylvania | maryland row 163 : pennsylvania | west virginia row 164 : pennsylvania | ohio row 165 : rhode island | massachusetts row 166 : rhode island | connecticut row 167 : south carolina | north carolina row 168 : south carolina | georgia row 169 : south dakota | north dakota row 170 : south dakota | minnesota row 171 : south dakota | iowa row 172 : south dakota | nebraska row 173 : south dakota | wyoming row 174 : south dakota | montana row 175 : tennessee | kentucky row 176 : tennessee | virginia row 177 : tennessee | north carolina row 178 : tennessee | georgia row 179 : tennessee | alabama row 180 : tennessee | mississippi row 181 : tennessee | arkansas row 182 : tennessee | missouri row 183 : texas | oklahoma row 184 : texas | arkansas row 185 : texas | louisiana row 186 : texas | new mexico row 187 : utah | wyoming row 188 : utah | colorado row 189 : utah | new mexico row 190 : utah | arizona row 191 : utah | nevada row 192 : utah | idaho row 193 : vermont | new hampshire row 194 : vermont | massachusetts row 195 : vermont | new york row 196 : virginia | maryland row 197 : virginia | district of columbia row 198 : virginia | north carolina row 199 : virginia | tennessee row 200 : virginia | kentucky row 201 : virginia | west virginia row 202 : washington | idaho row 203 : washington | oregon row 204 : west virginia | pennsylvania row 205 : west virginia | maryland row 206 : west virginia | virginia row 207 : west virginia | kentucky row 208 : west virginia | ohio row 209 : wisconsin | michigan row 210 : wisconsin | illinois row 211 : wisconsin | iowa row 212 : wisconsin | minnesota row 213 : wyoming | montana row 214 : wyoming | south dakota row 215 : wyoming | nebraska row 216 : wyoming | colorado row 217 : wyoming | utah row 218 : wyoming | idaho | col : city_name row 1 : phoenix |
SELECT highlow.lowest_point FROM highlow WHERE highlow.state_name='iowa'; | where is the lowest spot in iowa | {"columns":["lowest_point"],"index":[0],"data":[["mississippi river"]]} | [
"highlow"
] | [
"{\"columns\":[\"state_name\",\"highest_elevation\",\"lowest_point\",\"highest_point\",\"lowest_elevation\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",\"734\",\"gulf of mexico\",\"cheaha mountain\",\"0\"],[\"alaska\",\"6194\",\"pacific ocean\",\"mount mckinley\",\"0\"],[\"arizona\",\"3851\",\"colorado river\",\"humphreys peak\",\"21\"],[\"arkansas\",\"839\",\"ouachita river\",\"magazine mountain\",\"17\"],[\"california\",\"4418\",\"death valley\",\"mount whitney\",\"-85\"],[\"colorado\",\"4399\",\"arkansas river\",\"mount elbert\",\"1021\"],[\"connecticut\",\"725\",\"long island sound\",\"mount frissell\",\"0\"],[\"delaware\",\"135\",\"atlantic ocean\",\"centerville\",\"0\"],[\"district of columbia\",\"125\",\"potomac river\",\"tenleytown\",\"0\"],[\"florida\",\"105\",\"atlantic ocean\",\"walton county\",\"0\"],[\"georgia\",\"1458\",\"atlantic ocean\",\"brasstown bald\",\"0\"],[\"hawaii\",\"4205\",\"pacific ocean\",\"mauna kea\",\"0\"],[\"idaho\",\"3859\",\"snake river\",\"borah peak\",\"216\"],[\"illinois\",\"376\",\"mississippi river\",\"charles mound\",\"85\"],[\"indiana\",\"383\",\"ohio river\",\"franklin township\",\"98\"],[\"iowa\",\"511\",\"mississippi river\",\"ocheyedan mound\",\"146\"],[\"kansas\",\"1231\",\"verdigris river\",\"mount sunflower\",\"207\"],[\"kentucky\",\"1263\",\"mississippi river\",\"black mountain\",\"78\"],[\"louisiana\",\"163\",\"new orleans\",\"driskill mountain\",\"-1\"],[\"maine\",\"1606\",\"atlantic ocean\",\"mount katahdin\",\"0\"],[\"maryland\",\"1024\",\"atlantic ocean\",\"backbone mountain\",\"0\"],[\"massachusetts\",\"1064\",\"atlantic ocean\",\"mount greylock\",\"0\"],[\"michigan\",\"604\",\"lake erie\",\"mount curwood\",\"174\"],[\"minnesota\",\"701\",\"lake superior\",\"eagle mountain\",\"183\"],[\"mississippi\",\"246\",\"gulf of mexico\",\"woodall mountain\",\"0\"],[\"missouri\",\"540\",\"st. francis river\",\"taum sauk mountain\",\"70\"],[\"montana\",\"3901\",\"kootenai river\",\"granite peak\",\"549\"],[\"nebraska\",\"1654\",\"southeast corner\",\"johnson township\",\"256\"],[\"nevada\",\"4005\",\"colorado river\",\"boundary peak\",\"143\"],[\"new hampshire\",\"1917\",\"atlantic ocean\",\"mount washington\",\"0\"],[\"new jersey\",\"550\",\"atlantic ocean\",\"high point\",\"0\"],[\"new mexico\",\"4011\",\"red bluff reservoir\",\"wheeler peak\",\"859\"],[\"new york\",\"1629\",\"atlantic ocean\",\"mount marcy\",\"0\"],[\"north carolina\",\"2037\",\"atlantic ocean\",\"mount mitchell\",\"0\"],[\"north dakota\",\"1069\",\"red river\",\"white butte\",\"229\"],[\"ohio\",\"472\",\"ohio river\",\"campbell hill\",\"132\"],[\"oklahoma\",\"1516\",\"little river\",\"black mesa\",\"87\"],[\"oregon\",\"3424\",\"pacific ocean\",\"mount hood\",\"0\"],[\"pennsylvania\",\"979\",\"delaware river\",\"mount davis\",\"0\"],[\"rhode island\",\"247\",\"atlantic ocean\",\"jerimoth hill\",\"0\"],[\"south carolina\",\"1085\",\"atlantic ocean\",\"sassafras mountain\",\"0\"],[\"south dakota\",\"2207\",\"big stone lake\",\"harney peak\",\"284\"],[\"tennessee\",\"2025\",\"mississippi river\",\"clingmans dome\",\"55\"],[\"texas\",\"2667\",\"gulf of mexico\",\"guadalupe peak\",\"0\"],[\"utah\",\"4123\",\"beaver dam creek\",\"kings peak\",\"610\"],[\"vermont\",\"1339\",\"lake champlain\",\"mount mansfield\",\"29\"],[\"virginia\",\"1746\",\"atlantic ocean\",\"mount rogers\",\"0\"],[\"washington\",\"4392\",\"pacific ocean\",\"mount rainier\",\"0\"],[\"west virginia\",\"1482\",\"potomac river\",\"spruce knob\",\"73\"],[\"wisconsin\",\"595\",\"lake michigan\",\"timms hill\",\"177\"],[\"wyoming\",\"4202\",\"belle fourche river\",\"gannett peak\",\"945\"]]}"
] | where is the lowest spot in iowa <table_name> : highlow col : state_name | highest_elevation | lowest_point | highest_point | lowest_elevation row 1 : alabama | 734 | gulf of mexico | cheaha mountain | 0 row 2 : alaska | 6194 | pacific ocean | mount mckinley | 0 row 3 : arizona | 3851 | colorado river | humphreys peak | 21 row 4 : arkansas | 839 | ouachita river | magazine mountain | 17 row 5 : california | 4418 | death valley | mount whitney | -85 row 6 : colorado | 4399 | arkansas river | mount elbert | 1021 row 7 : connecticut | 725 | long island sound | mount frissell | 0 row 8 : delaware | 135 | atlantic ocean | centerville | 0 row 9 : district of columbia | 125 | potomac river | tenleytown | 0 row 10 : florida | 105 | atlantic ocean | walton county | 0 row 11 : georgia | 1458 | atlantic ocean | brasstown bald | 0 row 12 : hawaii | 4205 | pacific ocean | mauna kea | 0 row 13 : idaho | 3859 | snake river | borah peak | 216 row 14 : illinois | 376 | mississippi river | charles mound | 85 row 15 : indiana | 383 | ohio river | franklin township | 98 row 16 : iowa | 511 | mississippi river | ocheyedan mound | 146 row 17 : kansas | 1231 | verdigris river | mount sunflower | 207 row 18 : kentucky | 1263 | mississippi river | black mountain | 78 row 19 : louisiana | 163 | new orleans | driskill mountain | -1 row 20 : maine | 1606 | atlantic ocean | mount katahdin | 0 row 21 : maryland | 1024 | atlantic ocean | backbone mountain | 0 row 22 : massachusetts | 1064 | atlantic ocean | mount greylock | 0 row 23 : michigan | 604 | lake erie | mount curwood | 174 row 24 : minnesota | 701 | lake superior | eagle mountain | 183 row 25 : mississippi | 246 | gulf of mexico | woodall mountain | 0 row 26 : missouri | 540 | st. francis river | taum sauk mountain | 70 row 27 : montana | 3901 | kootenai river | granite peak | 549 row 28 : nebraska | 1654 | southeast corner | johnson township | 256 row 29 : nevada | 4005 | colorado river | boundary peak | 143 row 30 : new hampshire | 1917 | atlantic ocean | mount washington | 0 row 31 : new jersey | 550 | atlantic ocean | high point | 0 row 32 : new mexico | 4011 | red bluff reservoir | wheeler peak | 859 row 33 : new york | 1629 | atlantic ocean | mount marcy | 0 row 34 : north carolina | 2037 | atlantic ocean | mount mitchell | 0 row 35 : north dakota | 1069 | red river | white butte | 229 row 36 : ohio | 472 | ohio river | campbell hill | 132 row 37 : oklahoma | 1516 | little river | black mesa | 87 row 38 : oregon | 3424 | pacific ocean | mount hood | 0 row 39 : pennsylvania | 979 | delaware river | mount davis | 0 row 40 : rhode island | 247 | atlantic ocean | jerimoth hill | 0 row 41 : south carolina | 1085 | atlantic ocean | sassafras mountain | 0 row 42 : south dakota | 2207 | big stone lake | harney peak | 284 row 43 : tennessee | 2025 | mississippi river | clingmans dome | 55 row 44 : texas | 2667 | gulf of mexico | guadalupe peak | 0 row 45 : utah | 4123 | beaver dam creek | kings peak | 610 row 46 : vermont | 1339 | lake champlain | mount mansfield | 29 row 47 : virginia | 1746 | atlantic ocean | mount rogers | 0 row 48 : washington | 4392 | pacific ocean | mount rainier | 0 row 49 : west virginia | 1482 | potomac river | spruce knob | 73 row 50 : wisconsin | 595 | lake michigan | timms hill | 177 row 51 : wyoming | 4202 | belle fourche river | gannett peak | 945 | col : lowest_point row 1 : mississippi river |
SELECT river.traverse FROM river WHERE river.river_name='ohio'; | what states does the ohio river go through | {"columns":["traverse"],"index":[0,1,2,3,4,5,6],"data":[["pennsylvania"],["west virginia"],["kentucky"],["indiana"],["illinois"],["illinois"],["ohio"]]} | [
"river"
] | [
"{\"columns\":[\"river_name\",\"length\",\"country_name\",\"traverse\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148],\"data\":[[\"mississippi\",3778,\"usa\",\"minnesota\"],[\"mississippi\",3778,\"usa\",\"wisconsin\"],[\"mississippi\",3778,\"usa\",\"iowa\"],[\"mississippi\",3778,\"usa\",\"illinois\"],[\"mississippi\",3778,\"usa\",\"missouri\"],[\"mississippi\",3778,\"usa\",\"kentucky\"],[\"mississippi\",3778,\"usa\",\"tennessee\"],[\"mississippi\",3778,\"usa\",\"arkansas\"],[\"mississippi\",3778,\"usa\",\"mississippi\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"missouri\",3968,\"usa\",\"montana\"],[\"missouri\",3968,\"usa\",\"north dakota\"],[\"missouri\",3968,\"usa\",\"south dakota\"],[\"missouri\",3968,\"usa\",\"iowa\"],[\"missouri\",3968,\"usa\",\"nebraska\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"colorado\",2333,\"usa\",\"colorado\"],[\"colorado\",2333,\"usa\",\"utah\"],[\"colorado\",2333,\"usa\",\"arizona\"],[\"colorado\",2333,\"usa\",\"nevada\"],[\"colorado\",2333,\"usa\",\"california\"],[\"ohio\",1569,\"usa\",\"pennsylvania\"],[\"ohio\",1569,\"usa\",\"west virginia\"],[\"ohio\",1569,\"usa\",\"kentucky\"],[\"ohio\",1569,\"usa\",\"indiana\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"ohio\"],[\"red\",1638,\"usa\",\"new mexico\"],[\"red\",1638,\"usa\",\"texas\"],[\"red\",1638,\"usa\",\"oklahoma\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"louisiana\"],[\"arkansas\",2333,\"usa\",\"colorado\"],[\"arkansas\",2333,\"usa\",\"kansas\"],[\"arkansas\",2333,\"usa\",\"oklahoma\"],[\"arkansas\",2333,\"usa\",\"arkansas\"],[\"canadian\",1458,\"usa\",\"colorado\"],[\"canadian\",1458,\"usa\",\"new mexico\"],[\"canadian\",1458,\"usa\",\"texas\"],[\"canadian\",1458,\"usa\",\"oklahoma\"],[\"connecticut\",655,\"usa\",\"new hampshire\"],[\"connecticut\",655,\"usa\",\"vermont\"],[\"connecticut\",655,\"usa\",\"massachusetts\"],[\"connecticut\",655,\"usa\",\"connecticut\"],[\"delaware\",451,\"usa\",\"new york\"],[\"delaware\",451,\"usa\",\"pennsylvania\"],[\"delaware\",451,\"usa\",\"new jersey\"],[\"delaware\",451,\"usa\",\"delaware\"],[\"little missouri\",901,\"usa\",\"wyoming\"],[\"little missouri\",901,\"usa\",\"montana\"],[\"little missouri\",901,\"usa\",\"south dakota\"],[\"little missouri\",901,\"usa\",\"north dakota\"],[\"snake\",1670,\"usa\",\"wyoming\"],[\"snake\",1670,\"usa\",\"idaho\"],[\"snake\",1670,\"usa\",\"oregon\"],[\"snake\",1670,\"usa\",\"washington\"],[\"snake\",1670,\"usa\",\"washington\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"florida\"],[\"cimarron\",965,\"usa\",\"new mexico\"],[\"cimarron\",965,\"usa\",\"kansas\"],[\"cimarron\",965,\"usa\",\"oklahoma\"],[\"green\",1175,\"usa\",\"wyoming\"],[\"green\",1175,\"usa\",\"utah\"],[\"green\",1175,\"usa\",\"colorado\"],[\"green\",1175,\"usa\",\"utah\"],[\"north platte\",1094,\"usa\",\"colorado\"],[\"north platte\",1094,\"usa\",\"wyoming\"],[\"north platte\",1094,\"usa\",\"nebraska\"],[\"potomac\",462,\"usa\",\"west virginia\"],[\"potomac\",462,\"usa\",\"maryland\"],[\"potomac\",462,\"usa\",\"virginia\"],[\"potomac\",462,\"usa\",\"district of columbia\"],[\"republican\",679,\"usa\",\"colorado\"],[\"republican\",679,\"usa\",\"nebraska\"],[\"republican\",679,\"usa\",\"kansas\"],[\"rio grande\",3033,\"usa\",\"colorado\"],[\"rio grande\",3033,\"usa\",\"new mexico\"],[\"rio grande\",3033,\"usa\",\"texas\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"new mexico\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"utah\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"alabama\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"kentucky\"],[\"wabash\",764,\"usa\",\"ohio\"],[\"wabash\",764,\"usa\",\"indiana\"],[\"wabash\",764,\"usa\",\"illinois\"],[\"yellowstone\",1080,\"usa\",\"wyoming\"],[\"yellowstone\",1080,\"usa\",\"montana\"],[\"yellowstone\",1080,\"usa\",\"north dakota\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"allegheny\",523,\"usa\",\"new york\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"bighorn\",541,\"usa\",\"wyoming\"],[\"bighorn\",541,\"usa\",\"montana\"],[\"cheyenne\",848,\"usa\",\"wyoming\"],[\"cheyenne\",848,\"usa\",\"north dakota\"],[\"clark fork\",483,\"usa\",\"montana\"],[\"clark fork\",483,\"usa\",\"idaho\"],[\"columbia\",1953,\"usa\",\"washington\"],[\"columbia\",1953,\"usa\",\"oregon\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"cumberland\",1105,\"usa\",\"tennessee\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"dakota\",1142,\"usa\",\"north dakota\"],[\"dakota\",1142,\"usa\",\"south dakota\"],[\"gila\",805,\"usa\",\"new mexico\"],[\"gila\",805,\"usa\",\"arizona\"],[\"hudson\",492,\"usa\",\"new york\"],[\"hudson\",492,\"usa\",\"new jersey\"],[\"neosho\",740,\"usa\",\"kansas\"],[\"neosho\",740,\"usa\",\"oklahoma\"],[\"niobrara\",693,\"usa\",\"wyoming\"],[\"niobrara\",693,\"usa\",\"nebraska\"],[\"ouachita\",973,\"usa\",\"arkansas\"],[\"ouachita\",973,\"usa\",\"louisiana\"],[\"pearl\",788,\"usa\",\"michigan\"],[\"pearl\",788,\"usa\",\"louisiana\"],[\"pecos\",805,\"usa\",\"new mexico\"],[\"pecos\",805,\"usa\",\"texas\"],[\"powder\",603,\"usa\",\"wyoming\"],[\"powder\",603,\"usa\",\"montana\"],[\"roanoke\",660,\"usa\",\"virginia\"],[\"roanoke\",660,\"usa\",\"north carolina\"],[\"rock\",459,\"usa\",\"wisconsin\"],[\"rock\",459,\"usa\",\"illinois\"],[\"smoky hill\",869,\"usa\",\"colorado\"],[\"smoky hill\",869,\"usa\",\"kansas\"],[\"south platte\",682,\"usa\",\"colorado\"],[\"south platte\",682,\"usa\",\"nebraska\"],[\"st. francis\",684,\"usa\",\"missouri\"],[\"st. francis\",684,\"usa\",\"arkansas\"],[\"tombigbee\",658,\"usa\",\"mississippi\"],[\"tombigbee\",658,\"usa\",\"alabama\"],[\"washita\",805,\"usa\",\"texas\"],[\"washita\",805,\"usa\",\"oklahoma\"],[\"wateree catawba\",636,\"usa\",\"north carolina\"],[\"wateree catawba\",636,\"usa\",\"south carolina\"],[\"white\",1110,\"usa\",\"arkansas\"],[\"white\",1110,\"usa\",\"missouri\"],[\"white\",1110,\"usa\",\"arkansas\"]]}"
] | what states does the ohio river go through <table_name> : river col : river_name | length | country_name | traverse row 1 : mississippi | 3778 | usa | minnesota row 2 : mississippi | 3778 | usa | wisconsin row 3 : mississippi | 3778 | usa | iowa row 4 : mississippi | 3778 | usa | illinois row 5 : mississippi | 3778 | usa | missouri row 6 : mississippi | 3778 | usa | kentucky row 7 : mississippi | 3778 | usa | tennessee row 8 : mississippi | 3778 | usa | arkansas row 9 : mississippi | 3778 | usa | mississippi row 10 : mississippi | 3778 | usa | louisiana row 11 : mississippi | 3778 | usa | louisiana row 12 : missouri | 3968 | usa | montana row 13 : missouri | 3968 | usa | north dakota row 14 : missouri | 3968 | usa | south dakota row 15 : missouri | 3968 | usa | iowa row 16 : missouri | 3968 | usa | nebraska row 17 : missouri | 3968 | usa | missouri row 18 : missouri | 3968 | usa | missouri row 19 : colorado | 2333 | usa | colorado row 20 : colorado | 2333 | usa | utah row 21 : colorado | 2333 | usa | arizona row 22 : colorado | 2333 | usa | nevada row 23 : colorado | 2333 | usa | california row 24 : ohio | 1569 | usa | pennsylvania row 25 : ohio | 1569 | usa | west virginia row 26 : ohio | 1569 | usa | kentucky row 27 : ohio | 1569 | usa | indiana row 28 : ohio | 1569 | usa | illinois row 29 : ohio | 1569 | usa | illinois row 30 : ohio | 1569 | usa | ohio row 31 : red | 1638 | usa | new mexico row 32 : red | 1638 | usa | texas row 33 : red | 1638 | usa | oklahoma row 34 : red | 1638 | usa | arkansas row 35 : red | 1638 | usa | arkansas row 36 : red | 1638 | usa | louisiana row 37 : arkansas | 2333 | usa | colorado row 38 : arkansas | 2333 | usa | kansas row 39 : arkansas | 2333 | usa | oklahoma row 40 : arkansas | 2333 | usa | arkansas row 41 : canadian | 1458 | usa | colorado row 42 : canadian | 1458 | usa | new mexico row 43 : canadian | 1458 | usa | texas row 44 : canadian | 1458 | usa | oklahoma row 45 : connecticut | 655 | usa | new hampshire row 46 : connecticut | 655 | usa | vermont row 47 : connecticut | 655 | usa | massachusetts row 48 : connecticut | 655 | usa | connecticut row 49 : delaware | 451 | usa | new york row 50 : delaware | 451 | usa | pennsylvania row 51 : delaware | 451 | usa | new jersey row 52 : delaware | 451 | usa | delaware row 53 : little missouri | 901 | usa | wyoming row 54 : little missouri | 901 | usa | montana row 55 : little missouri | 901 | usa | south dakota row 56 : little missouri | 901 | usa | north dakota row 57 : snake | 1670 | usa | wyoming row 58 : snake | 1670 | usa | idaho row 59 : snake | 1670 | usa | oregon row 60 : snake | 1670 | usa | washington row 61 : snake | 1670 | usa | washington row 62 : chattahoochee | 702 | usa | georgia row 63 : chattahoochee | 702 | usa | georgia row 64 : chattahoochee | 702 | usa | florida row 65 : cimarron | 965 | usa | new mexico row 66 : cimarron | 965 | usa | kansas row 67 : cimarron | 965 | usa | oklahoma row 68 : green | 1175 | usa | wyoming row 69 : green | 1175 | usa | utah row 70 : green | 1175 | usa | colorado row 71 : green | 1175 | usa | utah row 72 : north platte | 1094 | usa | colorado row 73 : north platte | 1094 | usa | wyoming row 74 : north platte | 1094 | usa | nebraska row 75 : potomac | 462 | usa | west virginia row 76 : potomac | 462 | usa | maryland row 77 : potomac | 462 | usa | virginia row 78 : potomac | 462 | usa | district of columbia row 79 : republican | 679 | usa | colorado row 80 : republican | 679 | usa | nebraska row 81 : republican | 679 | usa | kansas row 82 : rio grande | 3033 | usa | colorado row 83 : rio grande | 3033 | usa | new mexico row 84 : rio grande | 3033 | usa | texas row 85 : san juan | 579 | usa | colorado row 86 : san juan | 579 | usa | new mexico row 87 : san juan | 579 | usa | colorado row 88 : san juan | 579 | usa | utah row 89 : tennessee | 1049 | usa | tennessee row 90 : tennessee | 1049 | usa | alabama row 91 : tennessee | 1049 | usa | tennessee row 92 : tennessee | 1049 | usa | kentucky row 93 : wabash | 764 | usa | ohio row 94 : wabash | 764 | usa | indiana row 95 : wabash | 764 | usa | illinois row 96 : yellowstone | 1080 | usa | wyoming row 97 : yellowstone | 1080 | usa | montana row 98 : yellowstone | 1080 | usa | north dakota row 99 : allegheny | 523 | usa | pennsylvania row 100 : allegheny | 523 | usa | new york row 101 : allegheny | 523 | usa | pennsylvania row 102 : bighorn | 541 | usa | wyoming row 103 : bighorn | 541 | usa | montana row 104 : cheyenne | 848 | usa | wyoming row 105 : cheyenne | 848 | usa | north dakota row 106 : clark fork | 483 | usa | montana row 107 : clark fork | 483 | usa | idaho row 108 : columbia | 1953 | usa | washington row 109 : columbia | 1953 | usa | oregon row 110 : cumberland | 1105 | usa | kentucky row 111 : cumberland | 1105 | usa | tennessee row 112 : cumberland | 1105 | usa | kentucky row 113 : dakota | 1142 | usa | north dakota row 114 : dakota | 1142 | usa | south dakota row 115 : gila | 805 | usa | new mexico row 116 : gila | 805 | usa | arizona row 117 : hudson | 492 | usa | new york row 118 : hudson | 492 | usa | new jersey row 119 : neosho | 740 | usa | kansas row 120 : neosho | 740 | usa | oklahoma row 121 : niobrara | 693 | usa | wyoming row 122 : niobrara | 693 | usa | nebraska row 123 : ouachita | 973 | usa | arkansas row 124 : ouachita | 973 | usa | louisiana row 125 : pearl | 788 | usa | michigan row 126 : pearl | 788 | usa | louisiana row 127 : pecos | 805 | usa | new mexico row 128 : pecos | 805 | usa | texas row 129 : powder | 603 | usa | wyoming row 130 : powder | 603 | usa | montana row 131 : roanoke | 660 | usa | virginia row 132 : roanoke | 660 | usa | north carolina row 133 : rock | 459 | usa | wisconsin row 134 : rock | 459 | usa | illinois row 135 : smoky hill | 869 | usa | colorado row 136 : smoky hill | 869 | usa | kansas row 137 : south platte | 682 | usa | colorado row 138 : south platte | 682 | usa | nebraska row 139 : st. francis | 684 | usa | missouri row 140 : st. francis | 684 | usa | arkansas row 141 : tombigbee | 658 | usa | mississippi row 142 : tombigbee | 658 | usa | alabama row 143 : washita | 805 | usa | texas row 144 : washita | 805 | usa | oklahoma row 145 : wateree catawba | 636 | usa | north carolina row 146 : wateree catawba | 636 | usa | south carolina row 147 : white | 1110 | usa | arkansas row 148 : white | 1110 | usa | missouri row 149 : white | 1110 | usa | arkansas | col : traverse row 1 : pennsylvania row 2 : west virginia row 3 : kentucky row 4 : indiana row 5 : illinois row 6 : illinois row 7 : ohio |
SELECT highlow.lowest_point FROM highlow WHERE highlow.lowest_elevation = (SELECT min(highlow.lowest_elevation) FROM highlow); | what is the lowest point of the us | {"columns":["lowest_point"],"index":[0],"data":[["new orleans"]]} | [
"highlow"
] | [
"{\"columns\":[\"state_name\",\"highest_elevation\",\"lowest_point\",\"highest_point\",\"lowest_elevation\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",\"734\",\"gulf of mexico\",\"cheaha mountain\",\"0\"],[\"alaska\",\"6194\",\"pacific ocean\",\"mount mckinley\",\"0\"],[\"arizona\",\"3851\",\"colorado river\",\"humphreys peak\",\"21\"],[\"arkansas\",\"839\",\"ouachita river\",\"magazine mountain\",\"17\"],[\"california\",\"4418\",\"death valley\",\"mount whitney\",\"-85\"],[\"colorado\",\"4399\",\"arkansas river\",\"mount elbert\",\"1021\"],[\"connecticut\",\"725\",\"long island sound\",\"mount frissell\",\"0\"],[\"delaware\",\"135\",\"atlantic ocean\",\"centerville\",\"0\"],[\"district of columbia\",\"125\",\"potomac river\",\"tenleytown\",\"0\"],[\"florida\",\"105\",\"atlantic ocean\",\"walton county\",\"0\"],[\"georgia\",\"1458\",\"atlantic ocean\",\"brasstown bald\",\"0\"],[\"hawaii\",\"4205\",\"pacific ocean\",\"mauna kea\",\"0\"],[\"idaho\",\"3859\",\"snake river\",\"borah peak\",\"216\"],[\"illinois\",\"376\",\"mississippi river\",\"charles mound\",\"85\"],[\"indiana\",\"383\",\"ohio river\",\"franklin township\",\"98\"],[\"iowa\",\"511\",\"mississippi river\",\"ocheyedan mound\",\"146\"],[\"kansas\",\"1231\",\"verdigris river\",\"mount sunflower\",\"207\"],[\"kentucky\",\"1263\",\"mississippi river\",\"black mountain\",\"78\"],[\"louisiana\",\"163\",\"new orleans\",\"driskill mountain\",\"-1\"],[\"maine\",\"1606\",\"atlantic ocean\",\"mount katahdin\",\"0\"],[\"maryland\",\"1024\",\"atlantic ocean\",\"backbone mountain\",\"0\"],[\"massachusetts\",\"1064\",\"atlantic ocean\",\"mount greylock\",\"0\"],[\"michigan\",\"604\",\"lake erie\",\"mount curwood\",\"174\"],[\"minnesota\",\"701\",\"lake superior\",\"eagle mountain\",\"183\"],[\"mississippi\",\"246\",\"gulf of mexico\",\"woodall mountain\",\"0\"],[\"missouri\",\"540\",\"st. francis river\",\"taum sauk mountain\",\"70\"],[\"montana\",\"3901\",\"kootenai river\",\"granite peak\",\"549\"],[\"nebraska\",\"1654\",\"southeast corner\",\"johnson township\",\"256\"],[\"nevada\",\"4005\",\"colorado river\",\"boundary peak\",\"143\"],[\"new hampshire\",\"1917\",\"atlantic ocean\",\"mount washington\",\"0\"],[\"new jersey\",\"550\",\"atlantic ocean\",\"high point\",\"0\"],[\"new mexico\",\"4011\",\"red bluff reservoir\",\"wheeler peak\",\"859\"],[\"new york\",\"1629\",\"atlantic ocean\",\"mount marcy\",\"0\"],[\"north carolina\",\"2037\",\"atlantic ocean\",\"mount mitchell\",\"0\"],[\"north dakota\",\"1069\",\"red river\",\"white butte\",\"229\"],[\"ohio\",\"472\",\"ohio river\",\"campbell hill\",\"132\"],[\"oklahoma\",\"1516\",\"little river\",\"black mesa\",\"87\"],[\"oregon\",\"3424\",\"pacific ocean\",\"mount hood\",\"0\"],[\"pennsylvania\",\"979\",\"delaware river\",\"mount davis\",\"0\"],[\"rhode island\",\"247\",\"atlantic ocean\",\"jerimoth hill\",\"0\"],[\"south carolina\",\"1085\",\"atlantic ocean\",\"sassafras mountain\",\"0\"],[\"south dakota\",\"2207\",\"big stone lake\",\"harney peak\",\"284\"],[\"tennessee\",\"2025\",\"mississippi river\",\"clingmans dome\",\"55\"],[\"texas\",\"2667\",\"gulf of mexico\",\"guadalupe peak\",\"0\"],[\"utah\",\"4123\",\"beaver dam creek\",\"kings peak\",\"610\"],[\"vermont\",\"1339\",\"lake champlain\",\"mount mansfield\",\"29\"],[\"virginia\",\"1746\",\"atlantic ocean\",\"mount rogers\",\"0\"],[\"washington\",\"4392\",\"pacific ocean\",\"mount rainier\",\"0\"],[\"west virginia\",\"1482\",\"potomac river\",\"spruce knob\",\"73\"],[\"wisconsin\",\"595\",\"lake michigan\",\"timms hill\",\"177\"],[\"wyoming\",\"4202\",\"belle fourche river\",\"gannett peak\",\"945\"]]}"
] | what is the lowest point of the us <table_name> : highlow col : state_name | highest_elevation | lowest_point | highest_point | lowest_elevation row 1 : alabama | 734 | gulf of mexico | cheaha mountain | 0 row 2 : alaska | 6194 | pacific ocean | mount mckinley | 0 row 3 : arizona | 3851 | colorado river | humphreys peak | 21 row 4 : arkansas | 839 | ouachita river | magazine mountain | 17 row 5 : california | 4418 | death valley | mount whitney | -85 row 6 : colorado | 4399 | arkansas river | mount elbert | 1021 row 7 : connecticut | 725 | long island sound | mount frissell | 0 row 8 : delaware | 135 | atlantic ocean | centerville | 0 row 9 : district of columbia | 125 | potomac river | tenleytown | 0 row 10 : florida | 105 | atlantic ocean | walton county | 0 row 11 : georgia | 1458 | atlantic ocean | brasstown bald | 0 row 12 : hawaii | 4205 | pacific ocean | mauna kea | 0 row 13 : idaho | 3859 | snake river | borah peak | 216 row 14 : illinois | 376 | mississippi river | charles mound | 85 row 15 : indiana | 383 | ohio river | franklin township | 98 row 16 : iowa | 511 | mississippi river | ocheyedan mound | 146 row 17 : kansas | 1231 | verdigris river | mount sunflower | 207 row 18 : kentucky | 1263 | mississippi river | black mountain | 78 row 19 : louisiana | 163 | new orleans | driskill mountain | -1 row 20 : maine | 1606 | atlantic ocean | mount katahdin | 0 row 21 : maryland | 1024 | atlantic ocean | backbone mountain | 0 row 22 : massachusetts | 1064 | atlantic ocean | mount greylock | 0 row 23 : michigan | 604 | lake erie | mount curwood | 174 row 24 : minnesota | 701 | lake superior | eagle mountain | 183 row 25 : mississippi | 246 | gulf of mexico | woodall mountain | 0 row 26 : missouri | 540 | st. francis river | taum sauk mountain | 70 row 27 : montana | 3901 | kootenai river | granite peak | 549 row 28 : nebraska | 1654 | southeast corner | johnson township | 256 row 29 : nevada | 4005 | colorado river | boundary peak | 143 row 30 : new hampshire | 1917 | atlantic ocean | mount washington | 0 row 31 : new jersey | 550 | atlantic ocean | high point | 0 row 32 : new mexico | 4011 | red bluff reservoir | wheeler peak | 859 row 33 : new york | 1629 | atlantic ocean | mount marcy | 0 row 34 : north carolina | 2037 | atlantic ocean | mount mitchell | 0 row 35 : north dakota | 1069 | red river | white butte | 229 row 36 : ohio | 472 | ohio river | campbell hill | 132 row 37 : oklahoma | 1516 | little river | black mesa | 87 row 38 : oregon | 3424 | pacific ocean | mount hood | 0 row 39 : pennsylvania | 979 | delaware river | mount davis | 0 row 40 : rhode island | 247 | atlantic ocean | jerimoth hill | 0 row 41 : south carolina | 1085 | atlantic ocean | sassafras mountain | 0 row 42 : south dakota | 2207 | big stone lake | harney peak | 284 row 43 : tennessee | 2025 | mississippi river | clingmans dome | 55 row 44 : texas | 2667 | gulf of mexico | guadalupe peak | 0 row 45 : utah | 4123 | beaver dam creek | kings peak | 610 row 46 : vermont | 1339 | lake champlain | mount mansfield | 29 row 47 : virginia | 1746 | atlantic ocean | mount rogers | 0 row 48 : washington | 4392 | pacific ocean | mount rainier | 0 row 49 : west virginia | 1482 | potomac river | spruce knob | 73 row 50 : wisconsin | 595 | lake michigan | timms hill | 177 row 51 : wyoming | 4202 | belle fourche river | gannett peak | 945 | col : lowest_point row 1 : new orleans |
SELECT river.river_name FROM river WHERE river.traverse IN ( SELECT highlow.state_name FROM highlow WHERE highlow.lowest_elevation=(SELECT min(highlow.lowest_elevation) FROM highlow)); | what rivers run through the state with the lowest point in the usa ? | {"columns":["river_name"],"index":[0,1,2,3,4],"data":[["mississippi"],["mississippi"],["red"],["ouachita"],["pearl"]]} | [
"river",
"highlow"
] | [
"{\"columns\":[\"river_name\",\"length\",\"country_name\",\"traverse\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148],\"data\":[[\"mississippi\",3778,\"usa\",\"minnesota\"],[\"mississippi\",3778,\"usa\",\"wisconsin\"],[\"mississippi\",3778,\"usa\",\"iowa\"],[\"mississippi\",3778,\"usa\",\"illinois\"],[\"mississippi\",3778,\"usa\",\"missouri\"],[\"mississippi\",3778,\"usa\",\"kentucky\"],[\"mississippi\",3778,\"usa\",\"tennessee\"],[\"mississippi\",3778,\"usa\",\"arkansas\"],[\"mississippi\",3778,\"usa\",\"mississippi\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"missouri\",3968,\"usa\",\"montana\"],[\"missouri\",3968,\"usa\",\"north dakota\"],[\"missouri\",3968,\"usa\",\"south dakota\"],[\"missouri\",3968,\"usa\",\"iowa\"],[\"missouri\",3968,\"usa\",\"nebraska\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"colorado\",2333,\"usa\",\"colorado\"],[\"colorado\",2333,\"usa\",\"utah\"],[\"colorado\",2333,\"usa\",\"arizona\"],[\"colorado\",2333,\"usa\",\"nevada\"],[\"colorado\",2333,\"usa\",\"california\"],[\"ohio\",1569,\"usa\",\"pennsylvania\"],[\"ohio\",1569,\"usa\",\"west virginia\"],[\"ohio\",1569,\"usa\",\"kentucky\"],[\"ohio\",1569,\"usa\",\"indiana\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"ohio\"],[\"red\",1638,\"usa\",\"new mexico\"],[\"red\",1638,\"usa\",\"texas\"],[\"red\",1638,\"usa\",\"oklahoma\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"louisiana\"],[\"arkansas\",2333,\"usa\",\"colorado\"],[\"arkansas\",2333,\"usa\",\"kansas\"],[\"arkansas\",2333,\"usa\",\"oklahoma\"],[\"arkansas\",2333,\"usa\",\"arkansas\"],[\"canadian\",1458,\"usa\",\"colorado\"],[\"canadian\",1458,\"usa\",\"new mexico\"],[\"canadian\",1458,\"usa\",\"texas\"],[\"canadian\",1458,\"usa\",\"oklahoma\"],[\"connecticut\",655,\"usa\",\"new hampshire\"],[\"connecticut\",655,\"usa\",\"vermont\"],[\"connecticut\",655,\"usa\",\"massachusetts\"],[\"connecticut\",655,\"usa\",\"connecticut\"],[\"delaware\",451,\"usa\",\"new york\"],[\"delaware\",451,\"usa\",\"pennsylvania\"],[\"delaware\",451,\"usa\",\"new jersey\"],[\"delaware\",451,\"usa\",\"delaware\"],[\"little missouri\",901,\"usa\",\"wyoming\"],[\"little missouri\",901,\"usa\",\"montana\"],[\"little missouri\",901,\"usa\",\"south dakota\"],[\"little missouri\",901,\"usa\",\"north dakota\"],[\"snake\",1670,\"usa\",\"wyoming\"],[\"snake\",1670,\"usa\",\"idaho\"],[\"snake\",1670,\"usa\",\"oregon\"],[\"snake\",1670,\"usa\",\"washington\"],[\"snake\",1670,\"usa\",\"washington\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"florida\"],[\"cimarron\",965,\"usa\",\"new mexico\"],[\"cimarron\",965,\"usa\",\"kansas\"],[\"cimarron\",965,\"usa\",\"oklahoma\"],[\"green\",1175,\"usa\",\"wyoming\"],[\"green\",1175,\"usa\",\"utah\"],[\"green\",1175,\"usa\",\"colorado\"],[\"green\",1175,\"usa\",\"utah\"],[\"north platte\",1094,\"usa\",\"colorado\"],[\"north platte\",1094,\"usa\",\"wyoming\"],[\"north platte\",1094,\"usa\",\"nebraska\"],[\"potomac\",462,\"usa\",\"west virginia\"],[\"potomac\",462,\"usa\",\"maryland\"],[\"potomac\",462,\"usa\",\"virginia\"],[\"potomac\",462,\"usa\",\"district of columbia\"],[\"republican\",679,\"usa\",\"colorado\"],[\"republican\",679,\"usa\",\"nebraska\"],[\"republican\",679,\"usa\",\"kansas\"],[\"rio grande\",3033,\"usa\",\"colorado\"],[\"rio grande\",3033,\"usa\",\"new mexico\"],[\"rio grande\",3033,\"usa\",\"texas\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"new mexico\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"utah\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"alabama\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"kentucky\"],[\"wabash\",764,\"usa\",\"ohio\"],[\"wabash\",764,\"usa\",\"indiana\"],[\"wabash\",764,\"usa\",\"illinois\"],[\"yellowstone\",1080,\"usa\",\"wyoming\"],[\"yellowstone\",1080,\"usa\",\"montana\"],[\"yellowstone\",1080,\"usa\",\"north dakota\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"allegheny\",523,\"usa\",\"new york\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"bighorn\",541,\"usa\",\"wyoming\"],[\"bighorn\",541,\"usa\",\"montana\"],[\"cheyenne\",848,\"usa\",\"wyoming\"],[\"cheyenne\",848,\"usa\",\"north dakota\"],[\"clark fork\",483,\"usa\",\"montana\"],[\"clark fork\",483,\"usa\",\"idaho\"],[\"columbia\",1953,\"usa\",\"washington\"],[\"columbia\",1953,\"usa\",\"oregon\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"cumberland\",1105,\"usa\",\"tennessee\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"dakota\",1142,\"usa\",\"north dakota\"],[\"dakota\",1142,\"usa\",\"south dakota\"],[\"gila\",805,\"usa\",\"new mexico\"],[\"gila\",805,\"usa\",\"arizona\"],[\"hudson\",492,\"usa\",\"new york\"],[\"hudson\",492,\"usa\",\"new jersey\"],[\"neosho\",740,\"usa\",\"kansas\"],[\"neosho\",740,\"usa\",\"oklahoma\"],[\"niobrara\",693,\"usa\",\"wyoming\"],[\"niobrara\",693,\"usa\",\"nebraska\"],[\"ouachita\",973,\"usa\",\"arkansas\"],[\"ouachita\",973,\"usa\",\"louisiana\"],[\"pearl\",788,\"usa\",\"michigan\"],[\"pearl\",788,\"usa\",\"louisiana\"],[\"pecos\",805,\"usa\",\"new mexico\"],[\"pecos\",805,\"usa\",\"texas\"],[\"powder\",603,\"usa\",\"wyoming\"],[\"powder\",603,\"usa\",\"montana\"],[\"roanoke\",660,\"usa\",\"virginia\"],[\"roanoke\",660,\"usa\",\"north carolina\"],[\"rock\",459,\"usa\",\"wisconsin\"],[\"rock\",459,\"usa\",\"illinois\"],[\"smoky hill\",869,\"usa\",\"colorado\"],[\"smoky hill\",869,\"usa\",\"kansas\"],[\"south platte\",682,\"usa\",\"colorado\"],[\"south platte\",682,\"usa\",\"nebraska\"],[\"st. francis\",684,\"usa\",\"missouri\"],[\"st. francis\",684,\"usa\",\"arkansas\"],[\"tombigbee\",658,\"usa\",\"mississippi\"],[\"tombigbee\",658,\"usa\",\"alabama\"],[\"washita\",805,\"usa\",\"texas\"],[\"washita\",805,\"usa\",\"oklahoma\"],[\"wateree catawba\",636,\"usa\",\"north carolina\"],[\"wateree catawba\",636,\"usa\",\"south carolina\"],[\"white\",1110,\"usa\",\"arkansas\"],[\"white\",1110,\"usa\",\"missouri\"],[\"white\",1110,\"usa\",\"arkansas\"]]}",
"{\"columns\":[\"state_name\",\"highest_elevation\",\"lowest_point\",\"highest_point\",\"lowest_elevation\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",\"734\",\"gulf of mexico\",\"cheaha mountain\",\"0\"],[\"alaska\",\"6194\",\"pacific ocean\",\"mount mckinley\",\"0\"],[\"arizona\",\"3851\",\"colorado river\",\"humphreys peak\",\"21\"],[\"arkansas\",\"839\",\"ouachita river\",\"magazine mountain\",\"17\"],[\"california\",\"4418\",\"death valley\",\"mount whitney\",\"-85\"],[\"colorado\",\"4399\",\"arkansas river\",\"mount elbert\",\"1021\"],[\"connecticut\",\"725\",\"long island sound\",\"mount frissell\",\"0\"],[\"delaware\",\"135\",\"atlantic ocean\",\"centerville\",\"0\"],[\"district of columbia\",\"125\",\"potomac river\",\"tenleytown\",\"0\"],[\"florida\",\"105\",\"atlantic ocean\",\"walton county\",\"0\"],[\"georgia\",\"1458\",\"atlantic ocean\",\"brasstown bald\",\"0\"],[\"hawaii\",\"4205\",\"pacific ocean\",\"mauna kea\",\"0\"],[\"idaho\",\"3859\",\"snake river\",\"borah peak\",\"216\"],[\"illinois\",\"376\",\"mississippi river\",\"charles mound\",\"85\"],[\"indiana\",\"383\",\"ohio river\",\"franklin township\",\"98\"],[\"iowa\",\"511\",\"mississippi river\",\"ocheyedan mound\",\"146\"],[\"kansas\",\"1231\",\"verdigris river\",\"mount sunflower\",\"207\"],[\"kentucky\",\"1263\",\"mississippi river\",\"black mountain\",\"78\"],[\"louisiana\",\"163\",\"new orleans\",\"driskill mountain\",\"-1\"],[\"maine\",\"1606\",\"atlantic ocean\",\"mount katahdin\",\"0\"],[\"maryland\",\"1024\",\"atlantic ocean\",\"backbone mountain\",\"0\"],[\"massachusetts\",\"1064\",\"atlantic ocean\",\"mount greylock\",\"0\"],[\"michigan\",\"604\",\"lake erie\",\"mount curwood\",\"174\"],[\"minnesota\",\"701\",\"lake superior\",\"eagle mountain\",\"183\"],[\"mississippi\",\"246\",\"gulf of mexico\",\"woodall mountain\",\"0\"],[\"missouri\",\"540\",\"st. francis river\",\"taum sauk mountain\",\"70\"],[\"montana\",\"3901\",\"kootenai river\",\"granite peak\",\"549\"],[\"nebraska\",\"1654\",\"southeast corner\",\"johnson township\",\"256\"],[\"nevada\",\"4005\",\"colorado river\",\"boundary peak\",\"143\"],[\"new hampshire\",\"1917\",\"atlantic ocean\",\"mount washington\",\"0\"],[\"new jersey\",\"550\",\"atlantic ocean\",\"high point\",\"0\"],[\"new mexico\",\"4011\",\"red bluff reservoir\",\"wheeler peak\",\"859\"],[\"new york\",\"1629\",\"atlantic ocean\",\"mount marcy\",\"0\"],[\"north carolina\",\"2037\",\"atlantic ocean\",\"mount mitchell\",\"0\"],[\"north dakota\",\"1069\",\"red river\",\"white butte\",\"229\"],[\"ohio\",\"472\",\"ohio river\",\"campbell hill\",\"132\"],[\"oklahoma\",\"1516\",\"little river\",\"black mesa\",\"87\"],[\"oregon\",\"3424\",\"pacific ocean\",\"mount hood\",\"0\"],[\"pennsylvania\",\"979\",\"delaware river\",\"mount davis\",\"0\"],[\"rhode island\",\"247\",\"atlantic ocean\",\"jerimoth hill\",\"0\"],[\"south carolina\",\"1085\",\"atlantic ocean\",\"sassafras mountain\",\"0\"],[\"south dakota\",\"2207\",\"big stone lake\",\"harney peak\",\"284\"],[\"tennessee\",\"2025\",\"mississippi river\",\"clingmans dome\",\"55\"],[\"texas\",\"2667\",\"gulf of mexico\",\"guadalupe peak\",\"0\"],[\"utah\",\"4123\",\"beaver dam creek\",\"kings peak\",\"610\"],[\"vermont\",\"1339\",\"lake champlain\",\"mount mansfield\",\"29\"],[\"virginia\",\"1746\",\"atlantic ocean\",\"mount rogers\",\"0\"],[\"washington\",\"4392\",\"pacific ocean\",\"mount rainier\",\"0\"],[\"west virginia\",\"1482\",\"potomac river\",\"spruce knob\",\"73\"],[\"wisconsin\",\"595\",\"lake michigan\",\"timms hill\",\"177\"],[\"wyoming\",\"4202\",\"belle fourche river\",\"gannett peak\",\"945\"]]}"
] | what rivers run through the state with the lowest point in the usa ? <table_name> : river col : river_name | length | country_name | traverse row 1 : mississippi | 3778 | usa | minnesota row 2 : mississippi | 3778 | usa | wisconsin row 3 : mississippi | 3778 | usa | iowa row 4 : mississippi | 3778 | usa | illinois row 5 : mississippi | 3778 | usa | missouri row 6 : mississippi | 3778 | usa | kentucky row 7 : mississippi | 3778 | usa | tennessee row 8 : mississippi | 3778 | usa | arkansas row 9 : mississippi | 3778 | usa | mississippi row 10 : mississippi | 3778 | usa | louisiana row 11 : mississippi | 3778 | usa | louisiana row 12 : missouri | 3968 | usa | montana row 13 : missouri | 3968 | usa | north dakota row 14 : missouri | 3968 | usa | south dakota row 15 : missouri | 3968 | usa | iowa row 16 : missouri | 3968 | usa | nebraska row 17 : missouri | 3968 | usa | missouri row 18 : missouri | 3968 | usa | missouri row 19 : colorado | 2333 | usa | colorado row 20 : colorado | 2333 | usa | utah row 21 : colorado | 2333 | usa | arizona row 22 : colorado | 2333 | usa | nevada row 23 : colorado | 2333 | usa | california row 24 : ohio | 1569 | usa | pennsylvania row 25 : ohio | 1569 | usa | west virginia row 26 : ohio | 1569 | usa | kentucky row 27 : ohio | 1569 | usa | indiana row 28 : ohio | 1569 | usa | illinois row 29 : ohio | 1569 | usa | illinois row 30 : ohio | 1569 | usa | ohio row 31 : red | 1638 | usa | new mexico row 32 : red | 1638 | usa | texas row 33 : red | 1638 | usa | oklahoma row 34 : red | 1638 | usa | arkansas row 35 : red | 1638 | usa | arkansas row 36 : red | 1638 | usa | louisiana row 37 : arkansas | 2333 | usa | colorado row 38 : arkansas | 2333 | usa | kansas row 39 : arkansas | 2333 | usa | oklahoma row 40 : arkansas | 2333 | usa | arkansas row 41 : canadian | 1458 | usa | colorado row 42 : canadian | 1458 | usa | new mexico row 43 : canadian | 1458 | usa | texas row 44 : canadian | 1458 | usa | oklahoma row 45 : connecticut | 655 | usa | new hampshire row 46 : connecticut | 655 | usa | vermont row 47 : connecticut | 655 | usa | massachusetts row 48 : connecticut | 655 | usa | connecticut row 49 : delaware | 451 | usa | new york row 50 : delaware | 451 | usa | pennsylvania row 51 : delaware | 451 | usa | new jersey row 52 : delaware | 451 | usa | delaware row 53 : little missouri | 901 | usa | wyoming row 54 : little missouri | 901 | usa | montana row 55 : little missouri | 901 | usa | south dakota row 56 : little missouri | 901 | usa | north dakota row 57 : snake | 1670 | usa | wyoming row 58 : snake | 1670 | usa | idaho row 59 : snake | 1670 | usa | oregon row 60 : snake | 1670 | usa | washington row 61 : snake | 1670 | usa | washington row 62 : chattahoochee | 702 | usa | georgia row 63 : chattahoochee | 702 | usa | georgia row 64 : chattahoochee | 702 | usa | florida row 65 : cimarron | 965 | usa | new mexico row 66 : cimarron | 965 | usa | kansas row 67 : cimarron | 965 | usa | oklahoma row 68 : green | 1175 | usa | wyoming row 69 : green | 1175 | usa | utah row 70 : green | 1175 | usa | colorado row 71 : green | 1175 | usa | utah row 72 : north platte | 1094 | usa | colorado row 73 : north platte | 1094 | usa | wyoming row 74 : north platte | 1094 | usa | nebraska row 75 : potomac | 462 | usa | west virginia row 76 : potomac | 462 | usa | maryland row 77 : potomac | 462 | usa | virginia row 78 : potomac | 462 | usa | district of columbia row 79 : republican | 679 | usa | colorado row 80 : republican | 679 | usa | nebraska row 81 : republican | 679 | usa | kansas row 82 : rio grande | 3033 | usa | colorado row 83 : rio grande | 3033 | usa | new mexico row 84 : rio grande | 3033 | usa | texas row 85 : san juan | 579 | usa | colorado row 86 : san juan | 579 | usa | new mexico row 87 : san juan | 579 | usa | colorado row 88 : san juan | 579 | usa | utah row 89 : tennessee | 1049 | usa | tennessee row 90 : tennessee | 1049 | usa | alabama row 91 : tennessee | 1049 | usa | tennessee row 92 : tennessee | 1049 | usa | kentucky row 93 : wabash | 764 | usa | ohio row 94 : wabash | 764 | usa | indiana row 95 : wabash | 764 | usa | illinois row 96 : yellowstone | 1080 | usa | wyoming row 97 : yellowstone | 1080 | usa | montana row 98 : yellowstone | 1080 | usa | north dakota row 99 : allegheny | 523 | usa | pennsylvania row 100 : allegheny | 523 | usa | new york row 101 : allegheny | 523 | usa | pennsylvania row 102 : bighorn | 541 | usa | wyoming row 103 : bighorn | 541 | usa | montana row 104 : cheyenne | 848 | usa | wyoming row 105 : cheyenne | 848 | usa | north dakota row 106 : clark fork | 483 | usa | montana row 107 : clark fork | 483 | usa | idaho row 108 : columbia | 1953 | usa | washington row 109 : columbia | 1953 | usa | oregon row 110 : cumberland | 1105 | usa | kentucky row 111 : cumberland | 1105 | usa | tennessee row 112 : cumberland | 1105 | usa | kentucky row 113 : dakota | 1142 | usa | north dakota row 114 : dakota | 1142 | usa | south dakota row 115 : gila | 805 | usa | new mexico row 116 : gila | 805 | usa | arizona row 117 : hudson | 492 | usa | new york row 118 : hudson | 492 | usa | new jersey row 119 : neosho | 740 | usa | kansas row 120 : neosho | 740 | usa | oklahoma row 121 : niobrara | 693 | usa | wyoming row 122 : niobrara | 693 | usa | nebraska row 123 : ouachita | 973 | usa | arkansas row 124 : ouachita | 973 | usa | louisiana row 125 : pearl | 788 | usa | michigan row 126 : pearl | 788 | usa | louisiana row 127 : pecos | 805 | usa | new mexico row 128 : pecos | 805 | usa | texas row 129 : powder | 603 | usa | wyoming row 130 : powder | 603 | usa | montana row 131 : roanoke | 660 | usa | virginia row 132 : roanoke | 660 | usa | north carolina row 133 : rock | 459 | usa | wisconsin row 134 : rock | 459 | usa | illinois row 135 : smoky hill | 869 | usa | colorado row 136 : smoky hill | 869 | usa | kansas row 137 : south platte | 682 | usa | colorado row 138 : south platte | 682 | usa | nebraska row 139 : st. francis | 684 | usa | missouri row 140 : st. francis | 684 | usa | arkansas row 141 : tombigbee | 658 | usa | mississippi row 142 : tombigbee | 658 | usa | alabama row 143 : washita | 805 | usa | texas row 144 : washita | 805 | usa | oklahoma row 145 : wateree catawba | 636 | usa | north carolina row 146 : wateree catawba | 636 | usa | south carolina row 147 : white | 1110 | usa | arkansas row 148 : white | 1110 | usa | missouri row 149 : white | 1110 | usa | arkansas <table_name> : highlow col : state_name | highest_elevation | lowest_point | highest_point | lowest_elevation row 1 : alabama | 734 | gulf of mexico | cheaha mountain | 0 row 2 : alaska | 6194 | pacific ocean | mount mckinley | 0 row 3 : arizona | 3851 | colorado river | humphreys peak | 21 row 4 : arkansas | 839 | ouachita river | magazine mountain | 17 row 5 : california | 4418 | death valley | mount whitney | -85 row 6 : colorado | 4399 | arkansas river | mount elbert | 1021 row 7 : connecticut | 725 | long island sound | mount frissell | 0 row 8 : delaware | 135 | atlantic ocean | centerville | 0 row 9 : district of columbia | 125 | potomac river | tenleytown | 0 row 10 : florida | 105 | atlantic ocean | walton county | 0 row 11 : georgia | 1458 | atlantic ocean | brasstown bald | 0 row 12 : hawaii | 4205 | pacific ocean | mauna kea | 0 row 13 : idaho | 3859 | snake river | borah peak | 216 row 14 : illinois | 376 | mississippi river | charles mound | 85 row 15 : indiana | 383 | ohio river | franklin township | 98 row 16 : iowa | 511 | mississippi river | ocheyedan mound | 146 row 17 : kansas | 1231 | verdigris river | mount sunflower | 207 row 18 : kentucky | 1263 | mississippi river | black mountain | 78 row 19 : louisiana | 163 | new orleans | driskill mountain | -1 row 20 : maine | 1606 | atlantic ocean | mount katahdin | 0 row 21 : maryland | 1024 | atlantic ocean | backbone mountain | 0 row 22 : massachusetts | 1064 | atlantic ocean | mount greylock | 0 row 23 : michigan | 604 | lake erie | mount curwood | 174 row 24 : minnesota | 701 | lake superior | eagle mountain | 183 row 25 : mississippi | 246 | gulf of mexico | woodall mountain | 0 row 26 : missouri | 540 | st. francis river | taum sauk mountain | 70 row 27 : montana | 3901 | kootenai river | granite peak | 549 row 28 : nebraska | 1654 | southeast corner | johnson township | 256 row 29 : nevada | 4005 | colorado river | boundary peak | 143 row 30 : new hampshire | 1917 | atlantic ocean | mount washington | 0 row 31 : new jersey | 550 | atlantic ocean | high point | 0 row 32 : new mexico | 4011 | red bluff reservoir | wheeler peak | 859 row 33 : new york | 1629 | atlantic ocean | mount marcy | 0 row 34 : north carolina | 2037 | atlantic ocean | mount mitchell | 0 row 35 : north dakota | 1069 | red river | white butte | 229 row 36 : ohio | 472 | ohio river | campbell hill | 132 row 37 : oklahoma | 1516 | little river | black mesa | 87 row 38 : oregon | 3424 | pacific ocean | mount hood | 0 row 39 : pennsylvania | 979 | delaware river | mount davis | 0 row 40 : rhode island | 247 | atlantic ocean | jerimoth hill | 0 row 41 : south carolina | 1085 | atlantic ocean | sassafras mountain | 0 row 42 : south dakota | 2207 | big stone lake | harney peak | 284 row 43 : tennessee | 2025 | mississippi river | clingmans dome | 55 row 44 : texas | 2667 | gulf of mexico | guadalupe peak | 0 row 45 : utah | 4123 | beaver dam creek | kings peak | 610 row 46 : vermont | 1339 | lake champlain | mount mansfield | 29 row 47 : virginia | 1746 | atlantic ocean | mount rogers | 0 row 48 : washington | 4392 | pacific ocean | mount rainier | 0 row 49 : west virginia | 1482 | potomac river | spruce knob | 73 row 50 : wisconsin | 595 | lake michigan | timms hill | 177 row 51 : wyoming | 4202 | belle fourche river | gannett peak | 945 | col : river_name row 1 : mississippi row 2 : mississippi row 3 : red row 4 : ouachita row 5 : pearl |
SELECT lake.lake_name FROM lake WHERE lake.state_name='michigan'; | name the major lakes in michigan | {"columns":["lake_name"],"index":[0,1,2,3,4],"data":[["superior"],["huron"],["michigan"],["erie"],["st. clair"]]} | [
"lake"
] | [
"{\"columns\":[\"lake_name\",\"area\",\"country_name\",\"state_name\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31],\"data\":[[\"iliamna\",2675.0,\"usa\",\"alaska\"],[\"becharof\",1186.0,\"usa\",\"alaska\"],[\"teshekpuk\",816.0,\"usa\",\"alaska\"],[\"naknek\",630.0,\"usa\",\"alaska\"],[\"salton sea\",932.0,\"usa\",\"california\"],[\"tahoe\",497.0,\"usa\",\"california\"],[\"okeechobee\",1810.0,\"usa\",\"florida\"],[\"michigan\",58016.0,\"usa\",\"illinois\"],[\"michigan\",58016.0,\"usa\",\"indiana\"],[\"pontchartrain\",1632.0,\"usa\",\"louisiana\"],[\"superior\",82362.0,\"usa\",\"michigan\"],[\"huron\",59570.0,\"usa\",\"michigan\"],[\"michigan\",58016.0,\"usa\",\"michigan\"],[\"erie\",25667.0,\"usa\",\"michigan\"],[\"st. clair\",1119.0,\"usa\",\"michigan\"],[\"superior\",82362.0,\"usa\",\"minnesota\"],[\"lake of the woods\",4391.0,\"usa\",\"minnesota\"],[\"red\",1169.0,\"usa\",\"minnesota\"],[\"rainy\",932.0,\"usa\",\"minnesota\"],[\"mille lacs\",536.0,\"usa\",\"minnesota\"],[\"flathead\",510.0,\"usa\",\"montana\"],[\"tahoe\",497.0,\"usa\",\"nevada\"],[\"erie\",25667.0,\"usa\",\"new york\"],[\"ontario\",19684.0,\"usa\",\"new york\"],[\"champlain\",1114.0,\"usa\",\"new york\"],[\"erie\",25667.0,\"usa\",\"ohio\"],[\"erie\",25667.0,\"usa\",\"pennsylvania\"],[\"great salt lake\",5180.0,\"usa\",\"utah\"],[\"champlain\",1114.0,\"usa\",\"vermont\"],[\"superior\",82362.0,\"usa\",\"wisconsin\"],[\"michigan\",58016.0,\"usa\",\"wisconsin\"],[\"winnebago\",557.0,\"usa\",\"wisconsin\"]]}"
] | name the major lakes in michigan <table_name> : lake col : lake_name | area | country_name | state_name row 1 : iliamna | 2675 | usa | alaska row 2 : becharof | 1186 | usa | alaska row 3 : teshekpuk | 816 | usa | alaska row 4 : naknek | 630 | usa | alaska row 5 : salton sea | 932 | usa | california row 6 : tahoe | 497 | usa | california row 7 : okeechobee | 1810 | usa | florida row 8 : michigan | 58016 | usa | illinois row 9 : michigan | 58016 | usa | indiana row 10 : pontchartrain | 1632 | usa | louisiana row 11 : superior | 82362 | usa | michigan row 12 : huron | 59570 | usa | michigan row 13 : michigan | 58016 | usa | michigan row 14 : erie | 25667 | usa | michigan row 15 : st. clair | 1119 | usa | michigan row 16 : superior | 82362 | usa | minnesota row 17 : lake of the woods | 4391 | usa | minnesota row 18 : red | 1169 | usa | minnesota row 19 : rainy | 932 | usa | minnesota row 20 : mille lacs | 536 | usa | minnesota row 21 : flathead | 510 | usa | montana row 22 : tahoe | 497 | usa | nevada row 23 : erie | 25667 | usa | new york row 24 : ontario | 19684 | usa | new york row 25 : champlain | 1114 | usa | new york row 26 : erie | 25667 | usa | ohio row 27 : erie | 25667 | usa | pennsylvania row 28 : great salt lake | 5180 | usa | utah row 29 : champlain | 1114 | usa | vermont row 30 : superior | 82362 | usa | wisconsin row 31 : michigan | 58016 | usa | wisconsin row 32 : winnebago | 557 | usa | wisconsin | col : lake_name row 1 : superior row 2 : huron row 3 : michigan row 4 : erie row 5 : st. clair |
SELECT city.population FROM city WHERE city.city_name='atlanta'; | what is the population of atlanta ga | {"columns":["population"],"index":[0],"data":[[425022]]} | [
"city"
] | [
"{\"columns\":[\"city_name\",\"population\",\"country_name\",\"state_name\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385],\"data\":[[\"birmingham\",284413,\"usa\",\"alabama\"],[\"mobile\",200452,\"usa\",\"alabama\"],[\"montgomery\",177857,\"usa\",\"alabama\"],[\"huntsville\",142513,\"usa\",\"alabama\"],[\"tuscaloosa\",75143,\"usa\",\"alabama\"],[\"anchorage\",174431,\"usa\",\"alaska\"],[\"phoenix\",789704,\"usa\",\"arizona\"],[\"tucson\",330537,\"usa\",\"arizona\"],[\"mesa\",152453,\"usa\",\"arizona\"],[\"tempe\",106919,\"usa\",\"arizona\"],[\"glendale\",96988,\"usa\",\"arizona\"],[\"scottsdale\",88622,\"usa\",\"arizona\"],[\"little rock\",158915,\"usa\",\"arkansas\"],[\"fort smith\",71384,\"usa\",\"arkansas\"],[\"north little rock\",64388,\"usa\",\"arkansas\"],[\"los angeles\",2966850,\"usa\",\"california\"],[\"san diego\",875538,\"usa\",\"california\"],[\"san francisco\",678974,\"usa\",\"california\"],[\"san jose\",629442,\"usa\",\"california\"],[\"long beach\",361334,\"usa\",\"california\"],[\"oakland\",339337,\"usa\",\"california\"],[\"sacramento\",275741,\"usa\",\"california\"],[\"anaheim\",219311,\"usa\",\"california\"],[\"fresno\",218202,\"usa\",\"california\"],[\"santa ana\",203713,\"usa\",\"california\"],[\"riverside\",170876,\"usa\",\"california\"],[\"huntington beach\",170505,\"usa\",\"california\"],[\"stockton\",149779,\"usa\",\"california\"],[\"glendale\",139060,\"usa\",\"california\"],[\"fremont\",131945,\"usa\",\"california\"],[\"torrance\",131497,\"usa\",\"california\"],[\"garden grove\",123351,\"usa\",\"california\"],[\"san 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] | what is the population of atlanta ga <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming | col : population row 1 : 425022 |
SELECT state.state_name FROM state WHERE state.population=(SELECT min(state.population) FROM state); | what is the state with the lowest population | {"columns":["state_name"],"index":[0],"data":[["alaska"]]} | [
"state"
] | [
"{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}"
] | what is the state with the lowest population <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318 | col : state_name row 1 : alaska |
SELECT state.state_name FROM state WHERE state.density=(SELECT min(state.density) FROM state); | what state has the smallest population density | {"columns":["state_name"],"index":[0],"data":[["alaska"]]} | [
"state"
] | [
"{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}"
] | what state has the smallest population density <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318 | col : state_name row 1 : alaska |
SELECT city.population FROM city WHERE city.city_name='seattle' AND city.state_name='washington'; | what is the population of seattle washington | {"columns":["population"],"index":[0],"data":[[493846]]} | [
"city"
] | [
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jersey\"],[\"trenton\",92124,\"usa\",\"new jersey\"],[\"woodbridge\",90074,\"usa\",\"new jersey\"],[\"camden\",84910,\"usa\",\"new jersey\"],[\"east orange\",77878,\"usa\",\"new jersey\"],[\"clifton\",74388,\"usa\",\"new jersey\"],[\"edison\",70193,\"usa\",\"new jersey\"],[\"cherry hill\",68785,\"usa\",\"new jersey\"],[\"bayonne\",65047,\"usa\",\"new jersey\"],[\"middletown\",61615,\"usa\",\"new jersey\"],[\"irvington\",61493,\"usa\",\"new jersey\"],[\"albuquerque\",331767,\"usa\",\"new mexico\"],[\"new york\",7071639,\"usa\",\"new york\"],[\"buffalo\",357870,\"usa\",\"new york\"],[\"rochester\",241741,\"usa\",\"new york\"],[\"yonkers\",195351,\"usa\",\"new york\"],[\"syracuse\",170105,\"usa\",\"new york\"],[\"albany\",101727,\"usa\",\"new york\"],[\"cheektowaga\",92145,\"usa\",\"new york\"],[\"utica\",75632,\"usa\",\"new york\"],[\"niagara falls\",71384,\"usa\",\"new york\"],[\"new rochelle\",70794,\"usa\",\"new york\"],[\"schenectady\",67972,\"usa\",\"new york\"],[\"mount vernon\",66713,\"usa\",\"new york\"],[\"irondequoit\",57648,\"usa\",\"new york\"],[\"levittown\",57045,\"usa\",\"new york\"],[\"charlotte\",314447,\"usa\",\"north carolina\"],[\"greensboro\",155642,\"usa\",\"north carolina\"],[\"raleigh\",149771,\"usa\",\"north carolina\"],[\"winston-salem\",131885,\"usa\",\"north carolina\"],[\"durham\",100538,\"usa\",\"north carolina\"],[\"high point\",64107,\"usa\",\"north carolina\"],[\"fayetteville\",59507,\"usa\",\"north carolina\"],[\"fargo\",61308,\"usa\",\"north dakota\"],[\"cleveland\",573822,\"usa\",\"ohio\"],[\"columbus\",564871,\"usa\",\"ohio\"],[\"cincinnati\",385457,\"usa\",\"ohio\"],[\"toledo\",354635,\"usa\",\"ohio\"],[\"akron\",237177,\"usa\",\"ohio\"],[\"dayton\",203371,\"usa\",\"ohio\"],[\"youngstown\",115436,\"usa\",\"ohio\"],[\"canton\",93077,\"usa\",\"ohio\"],[\"parma\",92548,\"usa\",\"ohio\"],[\"lorain\",75416,\"usa\",\"ohio\"],[\"springfield\",72563,\"usa\",\"ohio\"],[\"hamilton\",63189,\"usa\",\"ohio\"],[\"lakewood\",61963,\"usa\",\"ohio\"],[\"kettering\",61186,\"usa\",\"ohio\"],[\"euclid\",59999,\"usa\",\"ohio\"],[\"elyria\",57504,\"usa\",\"ohio\"],[\"oklahoma city\",403213,\"usa\",\"oklahoma\"],[\"tulsa\",360919,\"usa\",\"oklahoma\"],[\"lawton\",80054,\"usa\",\"oklahoma\"],[\"norman\",68020,\"usa\",\"oklahoma\"],[\"portland\",366383,\"usa\",\"oregon\"],[\"eugene\",105664,\"usa\",\"oregon\"],[\"salem\",89233,\"usa\",\"oregon\"],[\"philadelphia\",1688210,\"usa\",\"pennsylvania\"],[\"pittsburgh\",423938,\"usa\",\"pennsylvania\"],[\"erie\",119123,\"usa\",\"pennsylvania\"],[\"allentown\",103758,\"usa\",\"pennsylvania\"],[\"scranton\",88117,\"usa\",\"pennsylvania\"],[\"upper darby\",84054,\"usa\",\"pennsylvania\"],[\"reading\",78686,\"usa\",\"pennsylvania\"],[\"bethlehem\",70419,\"usa\",\"pennsylvania\"],[\"lower merion\",59651,\"usa\",\"pennsylvania\"],[\"abingdon\",59084,\"usa\",\"pennsylvania\"],[\"bristol township\",58733,\"usa\",\"pennsylvania\"],[\"penn hills\",57632,\"usa\",\"pennsylvania\"],[\"altoona\",57078,\"usa\",\"pennsylvania\"],[\"providence\",156804,\"usa\",\"rhode island\"],[\"warwick\",87123,\"usa\",\"rhode island\"],[\"cranston\",71992,\"usa\",\"rhode island\"],[\"pawtucket\",71204,\"usa\",\"rhode island\"],[\"columbia\",101229,\"usa\",\"south carolina\"],[\"charleston\",69855,\"usa\",\"south carolina\"],[\"north charleston\",62504,\"usa\",\"south carolina\"],[\"greenville\",58242,\"usa\",\"south carolina\"],[\"sioux falls\",81343,\"usa\",\"south dakota\"],[\"memphis\",646356,\"usa\",\"tennessee\"],[\"nashville\",455651,\"usa\",\"tennessee\"],[\"knoxville\",175030,\"usa\",\"tennessee\"],[\"chattanooga\",169728,\"usa\",\"tennessee\"],[\"houston\",1595138,\"usa\",\"texas\"],[\"dallas\",904078,\"usa\",\"texas\"],[\"san antonio\",785880,\"usa\",\"texas\"],[\"el paso\",425259,\"usa\",\"texas\"],[\"fort worth\",385164,\"usa\",\"texas\"],[\"austin\",345496,\"usa\",\"texas\"],[\"corpus christi\",231999,\"usa\",\"texas\"],[\"lubbock\",173979,\"usa\",\"texas\"],[\"arlington\",160123,\"usa\",\"texas\"],[\"amarillo\",149230,\"usa\",\"texas\"],[\"garland\",138857,\"usa\",\"texas\"],[\"beaumont\",118102,\"usa\",\"texas\"],[\"pasadena\",112560,\"usa\",\"texas\"],[\"irving\",109943,\"usa\",\"texas\"],[\"waco\",101261,\"usa\",\"texas\"],[\"abilene\",98315,\"usa\",\"texas\"],[\"wichita falls\",94201,\"usa\",\"texas\"],[\"laredo\",91449,\"usa\",\"texas\"],[\"odessa\",90027,\"usa\",\"texas\"],[\"brownsville\",84997,\"usa\",\"texas\"],[\"san angelo\",73240,\"usa\",\"texas\"],[\"richardson\",72496,\"usa\",\"texas\"],[\"plano\",72331,\"usa\",\"texas\"],[\"grand prairie\",71462,\"usa\",\"texas\"],[\"midland\",70525,\"usa\",\"texas\"],[\"tyler\",70508,\"usa\",\"texas\"],[\"mesquite\",67053,\"usa\",\"texas\"],[\"mcallen\",67042,\"usa\",\"texas\"],[\"longview\",62762,\"usa\",\"texas\"],[\"port arthur\",61195,\"usa\",\"texas\"],[\"salt lake city\",163034,\"usa\",\"utah\"],[\"provo\",74111,\"usa\",\"utah\"],[\"west valley\",72299,\"usa\",\"utah\"],[\"ogden\",64407,\"usa\",\"utah\"],[\"norfolk\",266979,\"usa\",\"virginia\"],[\"virginia beach\",262199,\"usa\",\"virginia\"],[\"richmond\",219214,\"usa\",\"virginia\"],[\"arlington\",152599,\"usa\",\"virginia\"],[\"newport news\",144903,\"usa\",\"virginia\"],[\"hampton\",122617,\"usa\",\"virginia\"],[\"chesapeake\",114226,\"usa\",\"virginia\"],[\"portsmouth\",104577,\"usa\",\"virginia\"],[\"alexandria\",103217,\"usa\",\"virginia\"],[\"roanoke\",100427,\"usa\",\"virginia\"],[\"lynchburg\",66743,\"usa\",\"virginia\"],[\"seattle\",493846,\"usa\",\"washington\"],[\"spokane\",171300,\"usa\",\"washington\"],[\"tacoma\",158501,\"usa\",\"washington\"],[\"bellevue\",73903,\"usa\",\"washington\"],[\"charleston\",63968,\"usa\",\"west virginia\"],[\"huntington\",63684,\"usa\",\"west virginia\"],[\"milwaukee\",636212,\"usa\",\"wisconsin\"],[\"madison\",170616,\"usa\",\"wisconsin\"],[\"green bay\",87899,\"usa\",\"wisconsin\"],[\"racine\",85725,\"usa\",\"wisconsin\"],[\"kenosha\",77685,\"usa\",\"wisconsin\"],[\"west allis\",63982,\"usa\",\"wisconsin\"],[\"appleton\",58913,\"usa\",\"wisconsin\"],[\"casper\",51016,\"usa\",\"wyoming\"]]}"
] | what is the population of seattle washington <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming | col : population row 1 : 493846 |
SELECT state.state_name FROM state WHERE state.state_name NOT IN (SELECT border_info.state_name FROM border_info); | what states have no bordering state ? | {"columns":["state_name"],"index":[0,1],"data":[["alaska"],["hawaii"]]} | [
"state"
] | [
"{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}"
] | what states have no bordering state ? <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318 | col : state_name row 1 : alaska row 2 : hawaii |
SELECT state.population FROM state WHERE state.state_name='district of columbia'; | how many people live in washington dc | {"columns":["population"],"index":[0],"data":[[638000]]} | [
"state"
] | [
"{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}"
] | how many people live in washington dc <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318 | col : population row 1 : 638000 |
SELECT city.city_name FROM city WHERE city.state_name='kansas' AND city.population>150000; | what are the major cities in kansas | {"columns":["city_name"],"index":[0,1],"data":[["wichita"],["kansas city"]]} | [
"city"
] | [
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jersey\"],[\"trenton\",92124,\"usa\",\"new jersey\"],[\"woodbridge\",90074,\"usa\",\"new jersey\"],[\"camden\",84910,\"usa\",\"new jersey\"],[\"east orange\",77878,\"usa\",\"new jersey\"],[\"clifton\",74388,\"usa\",\"new jersey\"],[\"edison\",70193,\"usa\",\"new jersey\"],[\"cherry hill\",68785,\"usa\",\"new jersey\"],[\"bayonne\",65047,\"usa\",\"new jersey\"],[\"middletown\",61615,\"usa\",\"new jersey\"],[\"irvington\",61493,\"usa\",\"new jersey\"],[\"albuquerque\",331767,\"usa\",\"new mexico\"],[\"new york\",7071639,\"usa\",\"new york\"],[\"buffalo\",357870,\"usa\",\"new york\"],[\"rochester\",241741,\"usa\",\"new york\"],[\"yonkers\",195351,\"usa\",\"new york\"],[\"syracuse\",170105,\"usa\",\"new york\"],[\"albany\",101727,\"usa\",\"new york\"],[\"cheektowaga\",92145,\"usa\",\"new york\"],[\"utica\",75632,\"usa\",\"new york\"],[\"niagara falls\",71384,\"usa\",\"new york\"],[\"new rochelle\",70794,\"usa\",\"new york\"],[\"schenectady\",67972,\"usa\",\"new york\"],[\"mount vernon\",66713,\"usa\",\"new york\"],[\"irondequoit\",57648,\"usa\",\"new york\"],[\"levittown\",57045,\"usa\",\"new york\"],[\"charlotte\",314447,\"usa\",\"north carolina\"],[\"greensboro\",155642,\"usa\",\"north carolina\"],[\"raleigh\",149771,\"usa\",\"north carolina\"],[\"winston-salem\",131885,\"usa\",\"north carolina\"],[\"durham\",100538,\"usa\",\"north carolina\"],[\"high point\",64107,\"usa\",\"north carolina\"],[\"fayetteville\",59507,\"usa\",\"north carolina\"],[\"fargo\",61308,\"usa\",\"north dakota\"],[\"cleveland\",573822,\"usa\",\"ohio\"],[\"columbus\",564871,\"usa\",\"ohio\"],[\"cincinnati\",385457,\"usa\",\"ohio\"],[\"toledo\",354635,\"usa\",\"ohio\"],[\"akron\",237177,\"usa\",\"ohio\"],[\"dayton\",203371,\"usa\",\"ohio\"],[\"youngstown\",115436,\"usa\",\"ohio\"],[\"canton\",93077,\"usa\",\"ohio\"],[\"parma\",92548,\"usa\",\"ohio\"],[\"lorain\",75416,\"usa\",\"ohio\"],[\"springfield\",72563,\"usa\",\"ohio\"],[\"hamilton\",63189,\"usa\",\"ohio\"],[\"lakewood\",61963,\"usa\",\"ohio\"],[\"kettering\",61186,\"usa\",\"ohio\"],[\"euclid\",59999,\"usa\",\"ohio\"],[\"elyria\",57504,\"usa\",\"ohio\"],[\"oklahoma city\",403213,\"usa\",\"oklahoma\"],[\"tulsa\",360919,\"usa\",\"oklahoma\"],[\"lawton\",80054,\"usa\",\"oklahoma\"],[\"norman\",68020,\"usa\",\"oklahoma\"],[\"portland\",366383,\"usa\",\"oregon\"],[\"eugene\",105664,\"usa\",\"oregon\"],[\"salem\",89233,\"usa\",\"oregon\"],[\"philadelphia\",1688210,\"usa\",\"pennsylvania\"],[\"pittsburgh\",423938,\"usa\",\"pennsylvania\"],[\"erie\",119123,\"usa\",\"pennsylvania\"],[\"allentown\",103758,\"usa\",\"pennsylvania\"],[\"scranton\",88117,\"usa\",\"pennsylvania\"],[\"upper darby\",84054,\"usa\",\"pennsylvania\"],[\"reading\",78686,\"usa\",\"pennsylvania\"],[\"bethlehem\",70419,\"usa\",\"pennsylvania\"],[\"lower merion\",59651,\"usa\",\"pennsylvania\"],[\"abingdon\",59084,\"usa\",\"pennsylvania\"],[\"bristol township\",58733,\"usa\",\"pennsylvania\"],[\"penn hills\",57632,\"usa\",\"pennsylvania\"],[\"altoona\",57078,\"usa\",\"pennsylvania\"],[\"providence\",156804,\"usa\",\"rhode island\"],[\"warwick\",87123,\"usa\",\"rhode island\"],[\"cranston\",71992,\"usa\",\"rhode island\"],[\"pawtucket\",71204,\"usa\",\"rhode island\"],[\"columbia\",101229,\"usa\",\"south carolina\"],[\"charleston\",69855,\"usa\",\"south carolina\"],[\"north charleston\",62504,\"usa\",\"south carolina\"],[\"greenville\",58242,\"usa\",\"south carolina\"],[\"sioux falls\",81343,\"usa\",\"south dakota\"],[\"memphis\",646356,\"usa\",\"tennessee\"],[\"nashville\",455651,\"usa\",\"tennessee\"],[\"knoxville\",175030,\"usa\",\"tennessee\"],[\"chattanooga\",169728,\"usa\",\"tennessee\"],[\"houston\",1595138,\"usa\",\"texas\"],[\"dallas\",904078,\"usa\",\"texas\"],[\"san antonio\",785880,\"usa\",\"texas\"],[\"el paso\",425259,\"usa\",\"texas\"],[\"fort worth\",385164,\"usa\",\"texas\"],[\"austin\",345496,\"usa\",\"texas\"],[\"corpus christi\",231999,\"usa\",\"texas\"],[\"lubbock\",173979,\"usa\",\"texas\"],[\"arlington\",160123,\"usa\",\"texas\"],[\"amarillo\",149230,\"usa\",\"texas\"],[\"garland\",138857,\"usa\",\"texas\"],[\"beaumont\",118102,\"usa\",\"texas\"],[\"pasadena\",112560,\"usa\",\"texas\"],[\"irving\",109943,\"usa\",\"texas\"],[\"waco\",101261,\"usa\",\"texas\"],[\"abilene\",98315,\"usa\",\"texas\"],[\"wichita falls\",94201,\"usa\",\"texas\"],[\"laredo\",91449,\"usa\",\"texas\"],[\"odessa\",90027,\"usa\",\"texas\"],[\"brownsville\",84997,\"usa\",\"texas\"],[\"san angelo\",73240,\"usa\",\"texas\"],[\"richardson\",72496,\"usa\",\"texas\"],[\"plano\",72331,\"usa\",\"texas\"],[\"grand prairie\",71462,\"usa\",\"texas\"],[\"midland\",70525,\"usa\",\"texas\"],[\"tyler\",70508,\"usa\",\"texas\"],[\"mesquite\",67053,\"usa\",\"texas\"],[\"mcallen\",67042,\"usa\",\"texas\"],[\"longview\",62762,\"usa\",\"texas\"],[\"port arthur\",61195,\"usa\",\"texas\"],[\"salt lake city\",163034,\"usa\",\"utah\"],[\"provo\",74111,\"usa\",\"utah\"],[\"west valley\",72299,\"usa\",\"utah\"],[\"ogden\",64407,\"usa\",\"utah\"],[\"norfolk\",266979,\"usa\",\"virginia\"],[\"virginia beach\",262199,\"usa\",\"virginia\"],[\"richmond\",219214,\"usa\",\"virginia\"],[\"arlington\",152599,\"usa\",\"virginia\"],[\"newport news\",144903,\"usa\",\"virginia\"],[\"hampton\",122617,\"usa\",\"virginia\"],[\"chesapeake\",114226,\"usa\",\"virginia\"],[\"portsmouth\",104577,\"usa\",\"virginia\"],[\"alexandria\",103217,\"usa\",\"virginia\"],[\"roanoke\",100427,\"usa\",\"virginia\"],[\"lynchburg\",66743,\"usa\",\"virginia\"],[\"seattle\",493846,\"usa\",\"washington\"],[\"spokane\",171300,\"usa\",\"washington\"],[\"tacoma\",158501,\"usa\",\"washington\"],[\"bellevue\",73903,\"usa\",\"washington\"],[\"charleston\",63968,\"usa\",\"west virginia\"],[\"huntington\",63684,\"usa\",\"west virginia\"],[\"milwaukee\",636212,\"usa\",\"wisconsin\"],[\"madison\",170616,\"usa\",\"wisconsin\"],[\"green bay\",87899,\"usa\",\"wisconsin\"],[\"racine\",85725,\"usa\",\"wisconsin\"],[\"kenosha\",77685,\"usa\",\"wisconsin\"],[\"west allis\",63982,\"usa\",\"wisconsin\"],[\"appleton\",58913,\"usa\",\"wisconsin\"],[\"casper\",51016,\"usa\",\"wyoming\"]]}"
] | what are the major cities in kansas <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming | col : city_name row 1 : wichita row 2 : kansas city |
SELECT state.population FROM state WHERE state.state_name='california'; | how many citizens live in california | {"columns":["population"],"index":[0],"data":[[23670000]]} | [
"state"
] | [
"{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}"
] | how many citizens live in california <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318 | col : population row 1 : 23670000 |
SELECT city.city_name FROM city WHERE city.population=(SELECT min(city.population) FROM city); | what is the city with the smallest population | {"columns":["city_name"],"index":[0],"data":[["scotts valley"]]} | [
"city"
] | [
"{\"columns\":[\"city_name\",\"population\",\"country_name\",\"state_name\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385],\"data\":[[\"birmingham\",284413,\"usa\",\"alabama\"],[\"mobile\",200452,\"usa\",\"alabama\"],[\"montgomery\",177857,\"usa\",\"alabama\"],[\"huntsville\",142513,\"usa\",\"alabama\"],[\"tuscaloosa\",75143,\"usa\",\"alabama\"],[\"anchorage\",174431,\"usa\",\"alaska\"],[\"phoenix\",789704,\"usa\",\"arizona\"],[\"tucson\",330537,\"usa\",\"arizona\"],[\"mesa\",152453,\"usa\",\"arizona\"],[\"tempe\",106919,\"usa\",\"arizona\"],[\"glendale\",96988,\"usa\",\"arizona\"],[\"scottsdale\",88622,\"usa\",\"arizona\"],[\"little rock\",158915,\"usa\",\"arkansas\"],[\"fort smith\",71384,\"usa\",\"arkansas\"],[\"north little rock\",64388,\"usa\",\"arkansas\"],[\"los angeles\",2966850,\"usa\",\"california\"],[\"san diego\",875538,\"usa\",\"california\"],[\"san francisco\",678974,\"usa\",\"california\"],[\"san jose\",629442,\"usa\",\"california\"],[\"long beach\",361334,\"usa\",\"california\"],[\"oakland\",339337,\"usa\",\"california\"],[\"sacramento\",275741,\"usa\",\"california\"],[\"anaheim\",219311,\"usa\",\"california\"],[\"fresno\",218202,\"usa\",\"california\"],[\"santa ana\",203713,\"usa\",\"california\"],[\"riverside\",170876,\"usa\",\"california\"],[\"huntington beach\",170505,\"usa\",\"california\"],[\"stockton\",149779,\"usa\",\"california\"],[\"glendale\",139060,\"usa\",\"california\"],[\"fremont\",131945,\"usa\",\"california\"],[\"torrance\",131497,\"usa\",\"california\"],[\"garden grove\",123351,\"usa\",\"california\"],[\"san bernardino\",118794,\"usa\",\"california\"],[\"pasadena\",118072,\"usa\",\"california\"],[\"east los angeles\",110017,\"usa\",\"california\"],[\"oxnard\",108195,\"usa\",\"california\"],[\"modesto\",106963,\"usa\",\"california\"],[\"sunnyvale\",106618,\"usa\",\"california\"],[\"bakersfield\",105611,\"usa\",\"california\"],[\"concord\",103763,\"usa\",\"california\"],[\"berkeley\",103328,\"usa\",\"california\"],[\"fullerton\",102246,\"usa\",\"california\"],[\"inglewood\",94162,\"usa\",\"california\"],[\"hayward\",93585,\"usa\",\"california\"],[\"pomona\",92742,\"usa\",\"california\"],[\"orange\",91450,\"usa\",\"california\"],[\"ontario\",88820,\"usa\",\"california\"],[\"santa monica\",88314,\"usa\",\"california\"],[\"santa clara\",87700,\"usa\",\"california\"],[\"citrus heights\",85911,\"usa\",\"california\"],[\"norwalk\",84901,\"usa\",\"california\"],[\"burbank\",84625,\"usa\",\"california\"],[\"chula vista\",83927,\"usa\",\"california\"],[\"santa rosa\",83205,\"usa\",\"california\"],[\"downey\",82602,\"usa\",\"california\"],[\"costa mesa\",82291,\"usa\",\"california\"],[\"compton\",81230,\"usa\",\"california\"],[\"carson\",81221,\"usa\",\"california\"],[\"salinas\",80479,\"usa\",\"california\"],[\"west covina\",80292,\"usa\",\"california\"],[\"vallejo\",80188,\"usa\",\"california\"],[\"el monte\",79494,\"usa\",\"california\"],[\"daly city\",78519,\"usa\",\"california\"],[\"thousand oaks\",77797,\"usa\",\"california\"],[\"san mateo\",77640,\"usa\",\"california\"],[\"simi valley\",77500,\"usa\",\"california\"],[\"oceanside\",76698,\"usa\",\"california\"],[\"richmond\",74676,\"usa\",\"california\"],[\"lakewood\",74654,\"usa\",\"california\"],[\"santa barbara\",74542,\"usa\",\"california\"],[\"el cajon\",73892,\"usa\",\"california\"],[\"ventura\",73774,\"usa\",\"california\"],[\"westminster\",71133,\"usa\",\"california\"],[\"whittier\",68558,\"usa\",\"california\"],[\"south gate\",66784,\"usa\",\"california\"],[\"alhambra\",64767,\"usa\",\"california\"],[\"buena park\",64165,\"usa\",\"california\"],[\"san leandro\",63952,\"usa\",\"california\"],[\"alameda\",63852,\"usa\",\"california\"],[\"newport beach\",63475,\"usa\",\"california\"],[\"escondido\",62480,\"usa\",\"california\"],[\"irvine\",62134,\"usa\",\"california\"],[\"mountain view\",58655,\"usa\",\"california\"],[\"fairfield\",58099,\"usa\",\"california\"],[\"redondo beach\",57102,\"usa\",\"california\"],[\"scotts valley\",6037,\"usa\",\"california\"],[\"denver\",492365,\"usa\",\"colorado\"],[\"colorado springs\",215150,\"usa\",\"colorado\"],[\"aurora\",158588,\"usa\",\"colorado\"],[\"lakewood\",113808,\"usa\",\"colorado\"],[\"pueblo\",101686,\"usa\",\"colorado\"],[\"arvada\",84576,\"usa\",\"colorado\"],[\"boulder\",76685,\"usa\",\"colorado\"],[\"fort collins\",64632,\"usa\",\"colorado\"],[\"bridgeport\",142546,\"usa\",\"connecticut\"],[\"hartford\",136392,\"usa\",\"connecticut\"],[\"new haven\",126089,\"usa\",\"connecticut\"],[\"waterbury\",103266,\"usa\",\"connecticut\"],[\"stamford\",102466,\"usa\",\"connecticut\"],[\"norwalk\",77767,\"usa\",\"connecticut\"],[\"new britain\",73840,\"usa\",\"connecticut\"],[\"west hartford\",61301,\"usa\",\"connecticut\"],[\"danbury\",60470,\"usa\",\"connecticut\"],[\"greenwich\",59578,\"usa\",\"connecticut\"],[\"bristol\",57370,\"usa\",\"connecticut\"],[\"meriden\",57118,\"usa\",\"connecticut\"],[\"wilmington\",70195,\"usa\",\"delaware\"],[\"washington\",638333,\"usa\",\"district of columbia\"],[\"jacksonville\",540920,\"usa\",\"florida\"],[\"miami\",346865,\"usa\",\"florida\"],[\"tampa\",271523,\"usa\",\"florida\"],[\"st. petersburg\",238647,\"usa\",\"florida\"],[\"fort lauderdale\",153256,\"usa\",\"florida\"],[\"orlando\",128394,\"usa\",\"florida\"],[\"hollywood\",117188,\"usa\",\"florida\"],[\"miami beach\",96298,\"usa\",\"florida\"],[\"clearwater\",85450,\"usa\",\"florida\"],[\"tallahassee\",81548,\"usa\",\"florida\"],[\"gainesville\",81371,\"usa\",\"florida\"],[\"kendall\",73758,\"usa\",\"florida\"],[\"west palm 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] | what is the city with the smallest population <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming | col : city_name row 1 : scotts valley |
SELECT highlow.highest_point FROM highlow WHERE highlow.state_name='texas'; | what is the highest point in texas | {"columns":["highest_point"],"index":[0],"data":[["guadalupe peak"]]} | [
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"{\"columns\":[\"state_name\",\"highest_elevation\",\"lowest_point\",\"highest_point\",\"lowest_elevation\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",\"734\",\"gulf of mexico\",\"cheaha mountain\",\"0\"],[\"alaska\",\"6194\",\"pacific ocean\",\"mount mckinley\",\"0\"],[\"arizona\",\"3851\",\"colorado river\",\"humphreys peak\",\"21\"],[\"arkansas\",\"839\",\"ouachita river\",\"magazine mountain\",\"17\"],[\"california\",\"4418\",\"death valley\",\"mount whitney\",\"-85\"],[\"colorado\",\"4399\",\"arkansas river\",\"mount elbert\",\"1021\"],[\"connecticut\",\"725\",\"long island sound\",\"mount frissell\",\"0\"],[\"delaware\",\"135\",\"atlantic ocean\",\"centerville\",\"0\"],[\"district of columbia\",\"125\",\"potomac river\",\"tenleytown\",\"0\"],[\"florida\",\"105\",\"atlantic ocean\",\"walton county\",\"0\"],[\"georgia\",\"1458\",\"atlantic ocean\",\"brasstown bald\",\"0\"],[\"hawaii\",\"4205\",\"pacific ocean\",\"mauna kea\",\"0\"],[\"idaho\",\"3859\",\"snake river\",\"borah peak\",\"216\"],[\"illinois\",\"376\",\"mississippi river\",\"charles mound\",\"85\"],[\"indiana\",\"383\",\"ohio river\",\"franklin township\",\"98\"],[\"iowa\",\"511\",\"mississippi river\",\"ocheyedan mound\",\"146\"],[\"kansas\",\"1231\",\"verdigris river\",\"mount sunflower\",\"207\"],[\"kentucky\",\"1263\",\"mississippi river\",\"black mountain\",\"78\"],[\"louisiana\",\"163\",\"new orleans\",\"driskill mountain\",\"-1\"],[\"maine\",\"1606\",\"atlantic ocean\",\"mount katahdin\",\"0\"],[\"maryland\",\"1024\",\"atlantic ocean\",\"backbone mountain\",\"0\"],[\"massachusetts\",\"1064\",\"atlantic ocean\",\"mount greylock\",\"0\"],[\"michigan\",\"604\",\"lake erie\",\"mount curwood\",\"174\"],[\"minnesota\",\"701\",\"lake superior\",\"eagle mountain\",\"183\"],[\"mississippi\",\"246\",\"gulf of mexico\",\"woodall mountain\",\"0\"],[\"missouri\",\"540\",\"st. francis river\",\"taum sauk mountain\",\"70\"],[\"montana\",\"3901\",\"kootenai river\",\"granite peak\",\"549\"],[\"nebraska\",\"1654\",\"southeast corner\",\"johnson township\",\"256\"],[\"nevada\",\"4005\",\"colorado river\",\"boundary peak\",\"143\"],[\"new hampshire\",\"1917\",\"atlantic ocean\",\"mount washington\",\"0\"],[\"new jersey\",\"550\",\"atlantic ocean\",\"high point\",\"0\"],[\"new mexico\",\"4011\",\"red bluff reservoir\",\"wheeler peak\",\"859\"],[\"new york\",\"1629\",\"atlantic ocean\",\"mount marcy\",\"0\"],[\"north carolina\",\"2037\",\"atlantic ocean\",\"mount mitchell\",\"0\"],[\"north dakota\",\"1069\",\"red river\",\"white butte\",\"229\"],[\"ohio\",\"472\",\"ohio river\",\"campbell hill\",\"132\"],[\"oklahoma\",\"1516\",\"little river\",\"black mesa\",\"87\"],[\"oregon\",\"3424\",\"pacific ocean\",\"mount hood\",\"0\"],[\"pennsylvania\",\"979\",\"delaware river\",\"mount davis\",\"0\"],[\"rhode island\",\"247\",\"atlantic ocean\",\"jerimoth hill\",\"0\"],[\"south carolina\",\"1085\",\"atlantic ocean\",\"sassafras mountain\",\"0\"],[\"south dakota\",\"2207\",\"big stone lake\",\"harney peak\",\"284\"],[\"tennessee\",\"2025\",\"mississippi river\",\"clingmans dome\",\"55\"],[\"texas\",\"2667\",\"gulf of mexico\",\"guadalupe peak\",\"0\"],[\"utah\",\"4123\",\"beaver dam creek\",\"kings peak\",\"610\"],[\"vermont\",\"1339\",\"lake champlain\",\"mount mansfield\",\"29\"],[\"virginia\",\"1746\",\"atlantic ocean\",\"mount rogers\",\"0\"],[\"washington\",\"4392\",\"pacific ocean\",\"mount rainier\",\"0\"],[\"west virginia\",\"1482\",\"potomac river\",\"spruce knob\",\"73\"],[\"wisconsin\",\"595\",\"lake michigan\",\"timms hill\",\"177\"],[\"wyoming\",\"4202\",\"belle fourche river\",\"gannett peak\",\"945\"]]}"
] | what is the highest point in texas <table_name> : highlow col : state_name | highest_elevation | lowest_point | highest_point | lowest_elevation row 1 : alabama | 734 | gulf of mexico | cheaha mountain | 0 row 2 : alaska | 6194 | pacific ocean | mount mckinley | 0 row 3 : arizona | 3851 | colorado river | humphreys peak | 21 row 4 : arkansas | 839 | ouachita river | magazine mountain | 17 row 5 : california | 4418 | death valley | mount whitney | -85 row 6 : colorado | 4399 | arkansas river | mount elbert | 1021 row 7 : connecticut | 725 | long island sound | mount frissell | 0 row 8 : delaware | 135 | atlantic ocean | centerville | 0 row 9 : district of columbia | 125 | potomac river | tenleytown | 0 row 10 : florida | 105 | atlantic ocean | walton county | 0 row 11 : georgia | 1458 | atlantic ocean | brasstown bald | 0 row 12 : hawaii | 4205 | pacific ocean | mauna kea | 0 row 13 : idaho | 3859 | snake river | borah peak | 216 row 14 : illinois | 376 | mississippi river | charles mound | 85 row 15 : indiana | 383 | ohio river | franklin township | 98 row 16 : iowa | 511 | mississippi river | ocheyedan mound | 146 row 17 : kansas | 1231 | verdigris river | mount sunflower | 207 row 18 : kentucky | 1263 | mississippi river | black mountain | 78 row 19 : louisiana | 163 | new orleans | driskill mountain | -1 row 20 : maine | 1606 | atlantic ocean | mount katahdin | 0 row 21 : maryland | 1024 | atlantic ocean | backbone mountain | 0 row 22 : massachusetts | 1064 | atlantic ocean | mount greylock | 0 row 23 : michigan | 604 | lake erie | mount curwood | 174 row 24 : minnesota | 701 | lake superior | eagle mountain | 183 row 25 : mississippi | 246 | gulf of mexico | woodall mountain | 0 row 26 : missouri | 540 | st. francis river | taum sauk mountain | 70 row 27 : montana | 3901 | kootenai river | granite peak | 549 row 28 : nebraska | 1654 | southeast corner | johnson township | 256 row 29 : nevada | 4005 | colorado river | boundary peak | 143 row 30 : new hampshire | 1917 | atlantic ocean | mount washington | 0 row 31 : new jersey | 550 | atlantic ocean | high point | 0 row 32 : new mexico | 4011 | red bluff reservoir | wheeler peak | 859 row 33 : new york | 1629 | atlantic ocean | mount marcy | 0 row 34 : north carolina | 2037 | atlantic ocean | mount mitchell | 0 row 35 : north dakota | 1069 | red river | white butte | 229 row 36 : ohio | 472 | ohio river | campbell hill | 132 row 37 : oklahoma | 1516 | little river | black mesa | 87 row 38 : oregon | 3424 | pacific ocean | mount hood | 0 row 39 : pennsylvania | 979 | delaware river | mount davis | 0 row 40 : rhode island | 247 | atlantic ocean | jerimoth hill | 0 row 41 : south carolina | 1085 | atlantic ocean | sassafras mountain | 0 row 42 : south dakota | 2207 | big stone lake | harney peak | 284 row 43 : tennessee | 2025 | mississippi river | clingmans dome | 55 row 44 : texas | 2667 | gulf of mexico | guadalupe peak | 0 row 45 : utah | 4123 | beaver dam creek | kings peak | 610 row 46 : vermont | 1339 | lake champlain | mount mansfield | 29 row 47 : virginia | 1746 | atlantic ocean | mount rogers | 0 row 48 : washington | 4392 | pacific ocean | mount rainier | 0 row 49 : west virginia | 1482 | potomac river | spruce knob | 73 row 50 : wisconsin | 595 | lake michigan | timms hill | 177 row 51 : wyoming | 4202 | belle fourche river | gannett peak | 945 | col : highest_point row 1 : guadalupe peak |
SELECT city.population FROM city WHERE city.city_name='boulder'; | number of citizens in boulder | {"columns":["population"],"index":[0],"data":[[76685]]} | [
"city"
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"{\"columns\":[\"city_name\",\"population\",\"country_name\",\"state_name\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385],\"data\":[[\"birmingham\",284413,\"usa\",\"alabama\"],[\"mobile\",200452,\"usa\",\"alabama\"],[\"montgomery\",177857,\"usa\",\"alabama\"],[\"huntsville\",142513,\"usa\",\"alabama\"],[\"tuscaloosa\",75143,\"usa\",\"alabama\"],[\"anchorage\",174431,\"usa\",\"alaska\"],[\"phoenix\",789704,\"usa\",\"arizona\"],[\"tucson\",330537,\"usa\",\"arizona\"],[\"mesa\",152453,\"usa\",\"arizona\"],[\"tempe\",106919,\"usa\",\"arizona\"],[\"glendale\",96988,\"usa\",\"arizona\"],[\"scottsdale\",88622,\"usa\",\"arizona\"],[\"little 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] | number of citizens in boulder <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming | col : population row 1 : 76685 |
SELECT city.population FROM city WHERE city.city_name='boulder'; | how many citizens in boulder | {"columns":["population"],"index":[0],"data":[[76685]]} | [
"city"
] | [
"{\"columns\":[\"city_name\",\"population\",\"country_name\",\"state_name\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385],\"data\":[[\"birmingham\",284413,\"usa\",\"alabama\"],[\"mobile\",200452,\"usa\",\"alabama\"],[\"montgomery\",177857,\"usa\",\"alabama\"],[\"huntsville\",142513,\"usa\",\"alabama\"],[\"tuscaloosa\",75143,\"usa\",\"alabama\"],[\"anchorage\",174431,\"usa\",\"alaska\"],[\"phoenix\",789704,\"usa\",\"arizona\"],[\"tucson\",330537,\"usa\",\"arizona\"],[\"mesa\",152453,\"usa\",\"arizona\"],[\"tempe\",106919,\"usa\",\"arizona\"],[\"glendale\",96988,\"usa\",\"arizona\"],[\"scottsdale\",88622,\"usa\",\"arizona\"],[\"little rock\",158915,\"usa\",\"arkansas\"],[\"fort smith\",71384,\"usa\",\"arkansas\"],[\"north little rock\",64388,\"usa\",\"arkansas\"],[\"los angeles\",2966850,\"usa\",\"california\"],[\"san diego\",875538,\"usa\",\"california\"],[\"san francisco\",678974,\"usa\",\"california\"],[\"san jose\",629442,\"usa\",\"california\"],[\"long beach\",361334,\"usa\",\"california\"],[\"oakland\",339337,\"usa\",\"california\"],[\"sacramento\",275741,\"usa\",\"california\"],[\"anaheim\",219311,\"usa\",\"california\"],[\"fresno\",218202,\"usa\",\"california\"],[\"santa ana\",203713,\"usa\",\"california\"],[\"riverside\",170876,\"usa\",\"california\"],[\"huntington beach\",170505,\"usa\",\"california\"],[\"stockton\",149779,\"usa\",\"california\"],[\"glendale\",139060,\"usa\",\"california\"],[\"fremont\",131945,\"usa\",\"california\"],[\"torrance\",131497,\"usa\",\"california\"],[\"garden grove\",123351,\"usa\",\"california\"],[\"san bernardino\",118794,\"usa\",\"california\"],[\"pasadena\",118072,\"usa\",\"california\"],[\"east los angeles\",110017,\"usa\",\"california\"],[\"oxnard\",108195,\"usa\",\"california\"],[\"modesto\",106963,\"usa\",\"california\"],[\"sunnyvale\",106618,\"usa\",\"california\"],[\"bakersfield\",105611,\"usa\",\"california\"],[\"concord\",103763,\"usa\",\"california\"],[\"berkeley\",103328,\"usa\",\"california\"],[\"fullerton\",102246,\"usa\",\"california\"],[\"inglewood\",94162,\"usa\",\"california\"],[\"hayward\",93585,\"usa\",\"california\"],[\"pomona\",92742,\"usa\",\"california\"],[\"orange\",91450,\"usa\",\"california\"],[\"ontario\",88820,\"usa\",\"california\"],[\"santa monica\",88314,\"usa\",\"california\"],[\"santa clara\",87700,\"usa\",\"california\"],[\"citrus heights\",85911,\"usa\",\"california\"],[\"norwalk\",84901,\"usa\",\"california\"],[\"burbank\",84625,\"usa\",\"california\"],[\"chula vista\",83927,\"usa\",\"california\"],[\"santa 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] | how many citizens in boulder <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming | col : population row 1 : 76685 |
SELECT state.population FROM state WHERE state.state_name='washington'; | how many people live in washington | {"columns":["population"],"index":[0],"data":[[4113200]]} | [
"state"
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"{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}"
] | how many people live in washington <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318 | col : population row 1 : 4113200 |
SELECT highlow.highest_elevation FROM highlow WHERE highlow.state_name='delaware'; | how high is the highest point of delaware | {"columns":["highest_elevation"],"index":[0],"data":[["135"]]} | [
"highlow"
] | [
"{\"columns\":[\"state_name\",\"highest_elevation\",\"lowest_point\",\"highest_point\",\"lowest_elevation\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",\"734\",\"gulf of mexico\",\"cheaha mountain\",\"0\"],[\"alaska\",\"6194\",\"pacific ocean\",\"mount mckinley\",\"0\"],[\"arizona\",\"3851\",\"colorado river\",\"humphreys peak\",\"21\"],[\"arkansas\",\"839\",\"ouachita river\",\"magazine mountain\",\"17\"],[\"california\",\"4418\",\"death valley\",\"mount whitney\",\"-85\"],[\"colorado\",\"4399\",\"arkansas river\",\"mount elbert\",\"1021\"],[\"connecticut\",\"725\",\"long island sound\",\"mount frissell\",\"0\"],[\"delaware\",\"135\",\"atlantic ocean\",\"centerville\",\"0\"],[\"district of columbia\",\"125\",\"potomac river\",\"tenleytown\",\"0\"],[\"florida\",\"105\",\"atlantic ocean\",\"walton county\",\"0\"],[\"georgia\",\"1458\",\"atlantic ocean\",\"brasstown bald\",\"0\"],[\"hawaii\",\"4205\",\"pacific ocean\",\"mauna kea\",\"0\"],[\"idaho\",\"3859\",\"snake river\",\"borah peak\",\"216\"],[\"illinois\",\"376\",\"mississippi river\",\"charles mound\",\"85\"],[\"indiana\",\"383\",\"ohio river\",\"franklin township\",\"98\"],[\"iowa\",\"511\",\"mississippi river\",\"ocheyedan mound\",\"146\"],[\"kansas\",\"1231\",\"verdigris river\",\"mount sunflower\",\"207\"],[\"kentucky\",\"1263\",\"mississippi river\",\"black mountain\",\"78\"],[\"louisiana\",\"163\",\"new orleans\",\"driskill mountain\",\"-1\"],[\"maine\",\"1606\",\"atlantic ocean\",\"mount katahdin\",\"0\"],[\"maryland\",\"1024\",\"atlantic ocean\",\"backbone mountain\",\"0\"],[\"massachusetts\",\"1064\",\"atlantic ocean\",\"mount greylock\",\"0\"],[\"michigan\",\"604\",\"lake erie\",\"mount curwood\",\"174\"],[\"minnesota\",\"701\",\"lake superior\",\"eagle mountain\",\"183\"],[\"mississippi\",\"246\",\"gulf of mexico\",\"woodall mountain\",\"0\"],[\"missouri\",\"540\",\"st. francis river\",\"taum sauk mountain\",\"70\"],[\"montana\",\"3901\",\"kootenai river\",\"granite peak\",\"549\"],[\"nebraska\",\"1654\",\"southeast corner\",\"johnson township\",\"256\"],[\"nevada\",\"4005\",\"colorado river\",\"boundary peak\",\"143\"],[\"new hampshire\",\"1917\",\"atlantic ocean\",\"mount washington\",\"0\"],[\"new jersey\",\"550\",\"atlantic ocean\",\"high point\",\"0\"],[\"new mexico\",\"4011\",\"red bluff reservoir\",\"wheeler peak\",\"859\"],[\"new york\",\"1629\",\"atlantic ocean\",\"mount marcy\",\"0\"],[\"north carolina\",\"2037\",\"atlantic ocean\",\"mount mitchell\",\"0\"],[\"north dakota\",\"1069\",\"red river\",\"white butte\",\"229\"],[\"ohio\",\"472\",\"ohio river\",\"campbell hill\",\"132\"],[\"oklahoma\",\"1516\",\"little river\",\"black mesa\",\"87\"],[\"oregon\",\"3424\",\"pacific ocean\",\"mount hood\",\"0\"],[\"pennsylvania\",\"979\",\"delaware river\",\"mount davis\",\"0\"],[\"rhode island\",\"247\",\"atlantic ocean\",\"jerimoth hill\",\"0\"],[\"south carolina\",\"1085\",\"atlantic ocean\",\"sassafras mountain\",\"0\"],[\"south dakota\",\"2207\",\"big stone lake\",\"harney peak\",\"284\"],[\"tennessee\",\"2025\",\"mississippi river\",\"clingmans dome\",\"55\"],[\"texas\",\"2667\",\"gulf of mexico\",\"guadalupe peak\",\"0\"],[\"utah\",\"4123\",\"beaver dam creek\",\"kings peak\",\"610\"],[\"vermont\",\"1339\",\"lake champlain\",\"mount mansfield\",\"29\"],[\"virginia\",\"1746\",\"atlantic ocean\",\"mount rogers\",\"0\"],[\"washington\",\"4392\",\"pacific ocean\",\"mount rainier\",\"0\"],[\"west virginia\",\"1482\",\"potomac river\",\"spruce knob\",\"73\"],[\"wisconsin\",\"595\",\"lake michigan\",\"timms hill\",\"177\"],[\"wyoming\",\"4202\",\"belle fourche river\",\"gannett peak\",\"945\"]]}"
] | how high is the highest point of delaware <table_name> : highlow col : state_name | highest_elevation | lowest_point | highest_point | lowest_elevation row 1 : alabama | 734 | gulf of mexico | cheaha mountain | 0 row 2 : alaska | 6194 | pacific ocean | mount mckinley | 0 row 3 : arizona | 3851 | colorado river | humphreys peak | 21 row 4 : arkansas | 839 | ouachita river | magazine mountain | 17 row 5 : california | 4418 | death valley | mount whitney | -85 row 6 : colorado | 4399 | arkansas river | mount elbert | 1021 row 7 : connecticut | 725 | long island sound | mount frissell | 0 row 8 : delaware | 135 | atlantic ocean | centerville | 0 row 9 : district of columbia | 125 | potomac river | tenleytown | 0 row 10 : florida | 105 | atlantic ocean | walton county | 0 row 11 : georgia | 1458 | atlantic ocean | brasstown bald | 0 row 12 : hawaii | 4205 | pacific ocean | mauna kea | 0 row 13 : idaho | 3859 | snake river | borah peak | 216 row 14 : illinois | 376 | mississippi river | charles mound | 85 row 15 : indiana | 383 | ohio river | franklin township | 98 row 16 : iowa | 511 | mississippi river | ocheyedan mound | 146 row 17 : kansas | 1231 | verdigris river | mount sunflower | 207 row 18 : kentucky | 1263 | mississippi river | black mountain | 78 row 19 : louisiana | 163 | new orleans | driskill mountain | -1 row 20 : maine | 1606 | atlantic ocean | mount katahdin | 0 row 21 : maryland | 1024 | atlantic ocean | backbone mountain | 0 row 22 : massachusetts | 1064 | atlantic ocean | mount greylock | 0 row 23 : michigan | 604 | lake erie | mount curwood | 174 row 24 : minnesota | 701 | lake superior | eagle mountain | 183 row 25 : mississippi | 246 | gulf of mexico | woodall mountain | 0 row 26 : missouri | 540 | st. francis river | taum sauk mountain | 70 row 27 : montana | 3901 | kootenai river | granite peak | 549 row 28 : nebraska | 1654 | southeast corner | johnson township | 256 row 29 : nevada | 4005 | colorado river | boundary peak | 143 row 30 : new hampshire | 1917 | atlantic ocean | mount washington | 0 row 31 : new jersey | 550 | atlantic ocean | high point | 0 row 32 : new mexico | 4011 | red bluff reservoir | wheeler peak | 859 row 33 : new york | 1629 | atlantic ocean | mount marcy | 0 row 34 : north carolina | 2037 | atlantic ocean | mount mitchell | 0 row 35 : north dakota | 1069 | red river | white butte | 229 row 36 : ohio | 472 | ohio river | campbell hill | 132 row 37 : oklahoma | 1516 | little river | black mesa | 87 row 38 : oregon | 3424 | pacific ocean | mount hood | 0 row 39 : pennsylvania | 979 | delaware river | mount davis | 0 row 40 : rhode island | 247 | atlantic ocean | jerimoth hill | 0 row 41 : south carolina | 1085 | atlantic ocean | sassafras mountain | 0 row 42 : south dakota | 2207 | big stone lake | harney peak | 284 row 43 : tennessee | 2025 | mississippi river | clingmans dome | 55 row 44 : texas | 2667 | gulf of mexico | guadalupe peak | 0 row 45 : utah | 4123 | beaver dam creek | kings peak | 610 row 46 : vermont | 1339 | lake champlain | mount mansfield | 29 row 47 : virginia | 1746 | atlantic ocean | mount rogers | 0 row 48 : washington | 4392 | pacific ocean | mount rainier | 0 row 49 : west virginia | 1482 | potomac river | spruce knob | 73 row 50 : wisconsin | 595 | lake michigan | timms hill | 177 row 51 : wyoming | 4202 | belle fourche river | gannett peak | 945 | col : highest_elevation row 1 : 135 |