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what is the size of texas
{"columns":["area"],"index":[0],"data":[[266807.0]]}
[ "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 size 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 : area row 1 : 266807
what is the size of texas <table_name> : state \begin{tabular}{lllllll} \toprule & state_name & population & area & country_name & capital & density \\ \midrule 0 & alabama & 3894000 & 51700 & usa & montgomery & 75.3191489362 \\ 1 & alaska & 401800 & 591000 & usa & juneau & 0.6798646362 \\ 2 & arizona & 2718000 & 114000 & usa & phoenix & 23.8421052632 \\ 3 & arkansas & 2286000 & 53200 & usa & little rock & 42.969924812 \\ 4 & california & 23670000 & 158000 & usa & sacramento & 149.8101265823 \\ 5 & colorado & 2889000 & 104000 & usa & denver & 27.7788461538 \\ 6 & connecticut & 3107000 & 5020 & usa & hartford & 618.9243027888 \\ 7 & delaware & 594000 & 2044 & usa & dover & 290.6066536204 \\ 8 & district of columbia & 638000 & 1100 & usa & washington & 580.0 \\ 9 & florida & 9746000 & 68664 & usa & tallahassee & 141.9375509729 \\ 10 & georgia & 5463000 & 58900 & usa & atlanta & 92.7504244482 \\ 11 & hawaii & 964000 & 6471 & usa & honolulu & 148.9723381239 \\ 12 & idaho & 944000 & 83000 & usa & boise & 11.3734939759 \\ 13 & illinois & 11400000 & 56300 & usa & springfield & 202.486678508 \\ 14 & indiana & 5490000 & 36200 & usa & indianapolis & 151.6574585635 \\ 15 & iowa & 2913000 & 56300 & usa & des moines & 51.7406749556 \\ 16 & kansas & 2364000 & 82300 & usa & topeka & 28.7241798299 \\ 17 & kentucky & 2364000 & 82300 & usa & frankfort & 28.7241798299 \\ 18 & louisiana & 4206000 & 47700 & usa & baton rouge & 88.1761006289 \\ 19 & maine & 1125000 & 33265 & usa & augusta & 33.8193296257 \\ 20 & maryland & 4217000 & 10460 & usa & annapolis & 403.154875717 \\ 21 & massachusetts & 5737000 & 8284 & usa & boston & 692.5398358281 \\ 22 & michigan & 9262000 & 58500 & usa & lansing & 158.3247863248 \\ 23 & minnesota & 4076000 & 84400 & usa & st. paul & 48.2938388626 \\ 24 & mississippi & 2520000 & 47700 & usa & jackson & 52.8301886792 \\ 25 & missouri & 4916000 & 69700 & usa & jefferson city & 70.5308464849 \\ 26 & montana & 786700 & 147000 & usa & helena & 5.3517006803000005 \\ 27 & nebraska & 1569000 & 77300 & usa & lincoln & 20.297542044 \\ 28 & nevada & 800500 & 110500 & usa & carson city & 7.2443438914 \\ 29 & new hampshire & 920600 & 9279 & usa & concord & 99.2132772928 \\ 30 & new jersey & 7365000 & 7787 & usa & trenton & 945.8071144215 \\ 31 & new mexico & 1303000 & 121600 & usa & santa fe & 10.7154605263 \\ 32 & new york & 17558000 & 49100 & usa & albany & 357.5967413442 \\ 33 & north carolina & 5882000 & 52670 & usa & raleigh & 111.6764761724 \\ 34 & north dakota & 652700 & 70700 & usa & bismarck & 9.2319660537 \\ 35 & ohio & 10800000 & 41300 & usa & columbus & 261.5012106538 \\ 36 & oklahoma & 3025000 & 69950 & usa & oklahoma city & 43.2451751251 \\ 37 & oregon & 2633000 & 97073 & usa & salem & 27.1239170521 \\ 38 & pennsylvania & 11863000 & 45308 & usa & harrisburg & 261.8301403726 \\ 39 & rhode island & 947200 & 1212 & usa & providence & 781.5181518152 \\ 40 & south carolina & 3121800 & 31113 & usa & columbia & 100.3374795102 \\ 41 & south dakota & 690767 & 77116 & usa & pierre & 8.957505576 \\ 42 & tennessee & 4591000 & 42140 & usa & nashville & 108.9463692454 \\ 43 & texas & 14229000 & 266807 & usa & austin & 53.3306847272 \\ 44 & utah & 1461000 & 84900 & usa & salt lake city & 17.2084805654 \\ 45 & vermont & 511500 & 9614 & usa & montpelier & 53.2036613272 \\ 46 & virginia & 5346800 & 40760 & usa & richmond & 131.1776251227 \\ 47 & washington & 4113200 & 68139 & usa & olympia & 60.3648424544 \\ 48 & west virginia & 1950000 & 24200 & usa & charleston & 80.5785123967 \\ 49 & wisconsin & 4700000 & 56153 & usa & madison & 83.6998913682 \\ 50 & wyoming & 469557 & 97809 & usa & cheyenne & 4.8007545318 \\ \bottomrule \end{tabular}
\begin{tabular}{ll} \toprule & area \\ \midrule 0 & 266807 \\ \bottomrule \end{tabular}
what is the size of texas <table_name> : state <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>state_name</th> <th>population</th> <th>area</th> <th>country_name</th> <th>capital</th> <th>density</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>alabama</td> <td>3894000</td> <td>51700</td> <td>usa</td> <td>montgomery</td> <td>75.3191489362</td> </tr> <tr> <th>1</th> <td>alaska</td> <td>401800</td> <td>591000</td> <td>usa</td> <td>juneau</td> <td>0.6798646362</td> </tr> <tr> <th>2</th> <td>arizona</td> <td>2718000</td> <td>114000</td> <td>usa</td> <td>phoenix</td> <td>23.8421052632</td> </tr> <tr> <th>3</th> <td>arkansas</td> <td>2286000</td> <td>53200</td> <td>usa</td> <td>little rock</td> <td>42.969924812</td> </tr> <tr> <th>4</th> <td>california</td> <td>23670000</td> <td>158000</td> <td>usa</td> <td>sacramento</td> <td>149.8101265823</td> </tr> <tr> <th>5</th> <td>colorado</td> <td>2889000</td> <td>104000</td> <td>usa</td> <td>denver</td> <td>27.7788461538</td> </tr> <tr> <th>6</th> <td>connecticut</td> <td>3107000</td> <td>5020</td> <td>usa</td> <td>hartford</td> <td>618.9243027888</td> </tr> <tr> <th>7</th> <td>delaware</td> <td>594000</td> <td>2044</td> <td>usa</td> <td>dover</td> <td>290.6066536204</td> </tr> <tr> <th>8</th> <td>district of columbia</td> <td>638000</td> <td>1100</td> <td>usa</td> <td>washington</td> <td>580.0</td> </tr> <tr> <th>9</th> <td>florida</td> <td>9746000</td> <td>68664</td> <td>usa</td> <td>tallahassee</td> <td>141.9375509729</td> </tr> <tr> <th>10</th> <td>georgia</td> <td>5463000</td> <td>58900</td> <td>usa</td> <td>atlanta</td> <td>92.7504244482</td> </tr> <tr> <th>11</th> <td>hawaii</td> <td>964000</td> <td>6471</td> <td>usa</td> <td>honolulu</td> <td>148.9723381239</td> </tr> <tr> <th>12</th> <td>idaho</td> <td>944000</td> <td>83000</td> <td>usa</td> <td>boise</td> <td>11.3734939759</td> </tr> <tr> <th>13</th> <td>illinois</td> <td>11400000</td> <td>56300</td> <td>usa</td> <td>springfield</td> <td>202.486678508</td> </tr> <tr> <th>14</th> <td>indiana</td> <td>5490000</td> <td>36200</td> <td>usa</td> <td>indianapolis</td> <td>151.6574585635</td> </tr> <tr> <th>15</th> <td>iowa</td> <td>2913000</td> <td>56300</td> <td>usa</td> <td>des moines</td> <td>51.7406749556</td> </tr> <tr> <th>16</th> <td>kansas</td> <td>2364000</td> <td>82300</td> <td>usa</td> <td>topeka</td> <td>28.7241798299</td> </tr> <tr> <th>17</th> <td>kentucky</td> <td>2364000</td> <td>82300</td> <td>usa</td> <td>frankfort</td> <td>28.7241798299</td> </tr> <tr> <th>18</th> <td>louisiana</td> <td>4206000</td> <td>47700</td> <td>usa</td> <td>baton rouge</td> <td>88.1761006289</td> </tr> <tr> <th>19</th> <td>maine</td> <td>1125000</td> <td>33265</td> <td>usa</td> <td>augusta</td> <td>33.8193296257</td> </tr> <tr> <th>20</th> <td>maryland</td> <td>4217000</td> <td>10460</td> <td>usa</td> <td>annapolis</td> <td>403.154875717</td> </tr> <tr> <th>21</th> <td>massachusetts</td> <td>5737000</td> <td>8284</td> <td>usa</td> <td>boston</td> <td>692.5398358281</td> </tr> <tr> <th>22</th> <td>michigan</td> <td>9262000</td> <td>58500</td> <td>usa</td> <td>lansing</td> <td>158.3247863248</td> </tr> <tr> <th>23</th> <td>minnesota</td> <td>4076000</td> <td>84400</td> <td>usa</td> <td>st. paul</td> <td>48.2938388626</td> </tr> <tr> <th>24</th> <td>mississippi</td> <td>2520000</td> <td>47700</td> <td>usa</td> <td>jackson</td> <td>52.8301886792</td> </tr> <tr> <th>25</th> <td>missouri</td> <td>4916000</td> <td>69700</td> <td>usa</td> <td>jefferson city</td> <td>70.5308464849</td> </tr> <tr> <th>26</th> <td>montana</td> <td>786700</td> <td>147000</td> <td>usa</td> <td>helena</td> <td>5.3517006803000005</td> </tr> <tr> <th>27</th> <td>nebraska</td> <td>1569000</td> <td>77300</td> <td>usa</td> <td>lincoln</td> <td>20.297542044</td> </tr> <tr> <th>28</th> <td>nevada</td> <td>800500</td> <td>110500</td> <td>usa</td> <td>carson city</td> <td>7.2443438914</td> </tr> <tr> <th>29</th> <td>new hampshire</td> <td>920600</td> <td>9279</td> <td>usa</td> <td>concord</td> <td>99.2132772928</td> </tr> <tr> <th>30</th> <td>new jersey</td> <td>7365000</td> <td>7787</td> <td>usa</td> <td>trenton</td> <td>945.8071144215</td> </tr> <tr> <th>31</th> <td>new mexico</td> <td>1303000</td> <td>121600</td> <td>usa</td> <td>santa fe</td> <td>10.7154605263</td> </tr> <tr> <th>32</th> <td>new york</td> <td>17558000</td> <td>49100</td> <td>usa</td> <td>albany</td> <td>357.5967413442</td> </tr> <tr> <th>33</th> <td>north carolina</td> <td>5882000</td> <td>52670</td> <td>usa</td> <td>raleigh</td> <td>111.6764761724</td> </tr> <tr> <th>34</th> <td>north dakota</td> <td>652700</td> <td>70700</td> <td>usa</td> <td>bismarck</td> <td>9.2319660537</td> </tr> <tr> <th>35</th> <td>ohio</td> <td>10800000</td> <td>41300</td> <td>usa</td> <td>columbus</td> <td>261.5012106538</td> </tr> <tr> <th>36</th> <td>oklahoma</td> <td>3025000</td> <td>69950</td> <td>usa</td> <td>oklahoma city</td> <td>43.2451751251</td> </tr> <tr> <th>37</th> <td>oregon</td> <td>2633000</td> <td>97073</td> <td>usa</td> <td>salem</td> <td>27.1239170521</td> </tr> <tr> <th>38</th> <td>pennsylvania</td> <td>11863000</td> <td>45308</td> <td>usa</td> <td>harrisburg</td> <td>261.8301403726</td> </tr> <tr> <th>39</th> <td>rhode island</td> <td>947200</td> <td>1212</td> <td>usa</td> <td>providence</td> <td>781.5181518152</td> </tr> <tr> <th>40</th> <td>south carolina</td> <td>3121800</td> <td>31113</td> <td>usa</td> <td>columbia</td> <td>100.3374795102</td> </tr> <tr> <th>41</th> <td>south dakota</td> <td>690767</td> <td>77116</td> <td>usa</td> <td>pierre</td> <td>8.957505576</td> </tr> <tr> <th>42</th> <td>tennessee</td> <td>4591000</td> <td>42140</td> <td>usa</td> <td>nashville</td> <td>108.9463692454</td> </tr> <tr> <th>43</th> <td>texas</td> <td>14229000</td> <td>266807</td> <td>usa</td> <td>austin</td> <td>53.3306847272</td> </tr> <tr> <th>44</th> <td>utah</td> <td>1461000</td> <td>84900</td> <td>usa</td> <td>salt lake city</td> <td>17.2084805654</td> </tr> <tr> <th>45</th> <td>vermont</td> <td>511500</td> <td>9614</td> <td>usa</td> <td>montpelier</td> <td>53.2036613272</td> </tr> <tr> <th>46</th> <td>virginia</td> <td>5346800</td> <td>40760</td> <td>usa</td> <td>richmond</td> <td>131.1776251227</td> </tr> <tr> <th>47</th> <td>washington</td> <td>4113200</td> <td>68139</td> <td>usa</td> <td>olympia</td> <td>60.3648424544</td> </tr> <tr> <th>48</th> <td>west virginia</td> <td>1950000</td> <td>24200</td> <td>usa</td> <td>charleston</td> <td>80.5785123967</td> </tr> <tr> <th>49</th> <td>wisconsin</td> <td>4700000</td> <td>56153</td> <td>usa</td> <td>madison</td> <td>83.6998913682</td> </tr> <tr> <th>50</th> <td>wyoming</td> <td>469557</td> <td>97809</td> <td>usa</td> <td>cheyenne</td> <td>4.8007545318</td> </tr> </tbody> </table>
<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>area</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>266807</td> </tr> </tbody> </table>
what is the size of texas <table_name> : state | | state_name | population | area | country_name | capital | density | |---:|:---------------------|-------------:|-------:|:---------------|:---------------|-----------:| | 0 | alabama | 3894000 | 51700 | usa | montgomery | 75.3191 | | 1 | alaska | 401800 | 591000 | usa | juneau | 0.679865 | | 2 | arizona | 2718000 | 114000 | usa | phoenix | 23.8421 | | 3 | arkansas | 2286000 | 53200 | usa | little rock | 42.9699 | | 4 | california | 23670000 | 158000 | usa | sacramento | 149.81 | | 5 | colorado | 2889000 | 104000 | usa | denver | 27.7788 | | 6 | connecticut | 3107000 | 5020 | usa | hartford | 618.924 | | 7 | delaware | 594000 | 2044 | usa | dover | 290.607 | | 8 | district of columbia | 638000 | 1100 | usa | washington | 580 | | 9 | florida | 9746000 | 68664 | usa | tallahassee | 141.938 | | 10 | georgia | 5463000 | 58900 | usa | atlanta | 92.7504 | | 11 | hawaii | 964000 | 6471 | usa | honolulu | 148.972 | | 12 | idaho | 944000 | 83000 | usa | boise | 11.3735 | | 13 | illinois | 11400000 | 56300 | usa | springfield | 202.487 | | 14 | indiana | 5490000 | 36200 | usa | indianapolis | 151.657 | | 15 | iowa | 2913000 | 56300 | usa | des moines | 51.7407 | | 16 | kansas | 2364000 | 82300 | usa | topeka | 28.7242 | | 17 | kentucky | 2364000 | 82300 | usa | frankfort | 28.7242 | | 18 | louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761 | | 19 | maine | 1125000 | 33265 | usa | augusta | 33.8193 | | 20 | maryland | 4217000 | 10460 | usa | annapolis | 403.155 | | 21 | massachusetts | 5737000 | 8284 | usa | boston | 692.54 | | 22 | michigan | 9262000 | 58500 | usa | lansing | 158.325 | | 23 | minnesota | 4076000 | 84400 | usa | st. paul | 48.2938 | | 24 | mississippi | 2520000 | 47700 | usa | jackson | 52.8302 | | 25 | missouri | 4916000 | 69700 | usa | jefferson city | 70.5308 | | 26 | montana | 786700 | 147000 | usa | helena | 5.3517 | | 27 | nebraska | 1569000 | 77300 | usa | lincoln | 20.2975 | | 28 | nevada | 800500 | 110500 | usa | carson city | 7.24434 | | 29 | new hampshire | 920600 | 9279 | usa | concord | 99.2133 | | 30 | new jersey | 7365000 | 7787 | usa | trenton | 945.807 | | 31 | new mexico | 1303000 | 121600 | usa | santa fe | 10.7155 | | 32 | new york | 17558000 | 49100 | usa | albany | 357.597 | | 33 | north carolina | 5882000 | 52670 | usa | raleigh | 111.676 | | 34 | north dakota | 652700 | 70700 | usa | bismarck | 9.23197 | | 35 | ohio | 10800000 | 41300 | usa | columbus | 261.501 | | 36 | oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2452 | | 37 | oregon | 2633000 | 97073 | usa | salem | 27.1239 | | 38 | pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.83 | | 39 | rhode island | 947200 | 1212 | usa | providence | 781.518 | | 40 | south carolina | 3121800 | 31113 | usa | columbia | 100.337 | | 41 | south dakota | 690767 | 77116 | usa | pierre | 8.95751 | | 42 | tennessee | 4591000 | 42140 | usa | nashville | 108.946 | | 43 | texas | 14229000 | 266807 | usa | austin | 53.3307 | | 44 | utah | 1461000 | 84900 | usa | salt lake city | 17.2085 | | 45 | vermont | 511500 | 9614 | usa | montpelier | 53.2037 | | 46 | virginia | 5346800 | 40760 | usa | richmond | 131.178 | | 47 | washington | 4113200 | 68139 | usa | olympia | 60.3648 | | 48 | west virginia | 1950000 | 24200 | usa | charleston | 80.5785 | | 49 | wisconsin | 4700000 | 56153 | usa | madison | 83.6999 | | 50 | wyoming | 469557 | 97809 | usa | cheyenne | 4.80075 |
| | area | |---:|-------:| | 0 | 266807 |
what is the biggest city in nebraska
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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 biggest city in nebraska <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 : omaha
what is the biggest city in nebraska <table_name> : city \begin{tabular}{lllll} \toprule & city_name & population & country_name & state_name \\ \midrule 0 & birmingham & 284413 & usa & alabama \\ 1 & mobile & 200452 & usa & alabama \\ 2 & montgomery & 177857 & usa & alabama \\ 3 & huntsville & 142513 & usa & alabama \\ 4 & tuscaloosa & 75143 & usa & alabama \\ 5 & anchorage & 174431 & usa & alaska \\ 6 & phoenix & 789704 & usa & arizona \\ 7 & tucson & 330537 & usa & arizona \\ 8 & mesa & 152453 & usa & arizona \\ 9 & tempe & 106919 & usa & arizona \\ 10 & glendale & 96988 & usa & arizona \\ 11 & scottsdale & 88622 & usa & arizona \\ 12 & little rock & 158915 & usa & arkansas \\ 13 & fort smith & 71384 & usa & arkansas \\ 14 & north little rock & 64388 & usa & arkansas \\ 15 & los angeles & 2966850 & usa & california \\ 16 & san diego & 875538 & usa & california \\ 17 & san francisco & 678974 & usa & california \\ 18 & san jose & 629442 & usa & california \\ 19 & long beach & 361334 & usa & california \\ 20 & oakland & 339337 & usa & california \\ 21 & sacramento & 275741 & usa & california \\ 22 & anaheim & 219311 & usa & california \\ 23 & fresno & 218202 & usa & california \\ 24 & santa ana & 203713 & usa & california \\ 25 & riverside & 170876 & usa & california \\ 26 & huntington beach & 170505 & usa & california \\ 27 & stockton & 149779 & usa & california \\ 28 & glendale & 139060 & usa & california \\ 29 & fremont & 131945 & usa & california \\ 30 & torrance & 131497 & usa & california \\ 31 & garden grove & 123351 & usa & california \\ 32 & san bernardino & 118794 & usa & california \\ 33 & pasadena & 118072 & usa & california \\ 34 & east los angeles & 110017 & usa & california \\ 35 & oxnard & 108195 & usa & california \\ 36 & modesto & 106963 & usa & california \\ 37 & sunnyvale & 106618 & usa & california \\ 38 & bakersfield & 105611 & usa & california \\ 39 & concord & 103763 & usa & california \\ 40 & berkeley & 103328 & usa & california \\ 41 & fullerton & 102246 & usa & california \\ 42 & inglewood & 94162 & usa & california \\ 43 & hayward & 93585 & usa & california \\ 44 & pomona & 92742 & usa & california \\ 45 & orange & 91450 & usa & california \\ 46 & ontario & 88820 & usa & california \\ 47 & santa monica & 88314 & usa & california \\ 48 & santa clara & 87700 & usa & california \\ 49 & citrus heights & 85911 & usa & california \\ 50 & norwalk & 84901 & usa & california \\ 51 & burbank & 84625 & usa & california \\ 52 & chula vista & 83927 & usa & california \\ 53 & santa rosa & 83205 & usa & california \\ 54 & downey & 82602 & usa & california \\ 55 & costa mesa & 82291 & usa & california \\ 56 & compton & 81230 & usa & california \\ 57 & carson & 81221 & usa & california \\ 58 & salinas & 80479 & usa & california \\ 59 & west covina & 80292 & usa & california \\ 60 & vallejo & 80188 & usa & california \\ 61 & el monte & 79494 & usa & california \\ 62 & daly city & 78519 & usa & california \\ 63 & thousand oaks & 77797 & usa & california \\ 64 & san mateo & 77640 & usa & california \\ 65 & simi valley & 77500 & usa & california \\ 66 & oceanside & 76698 & usa & california \\ 67 & richmond & 74676 & usa & california \\ 68 & lakewood & 74654 & usa & california \\ 69 & santa barbara & 74542 & usa & california \\ 70 & el cajon & 73892 & usa & california \\ 71 & ventura & 73774 & usa & california \\ 72 & westminster & 71133 & usa & california \\ 73 & whittier & 68558 & usa & california \\ 74 & south gate & 66784 & usa & california \\ 75 & alhambra & 64767 & usa & california \\ 76 & buena park & 64165 & usa & california \\ 77 & san leandro & 63952 & usa & california \\ 78 & alameda & 63852 & usa & california \\ 79 & newport beach & 63475 & usa & california \\ 80 & escondido & 62480 & usa & california \\ 81 & irvine & 62134 & usa & california \\ 82 & mountain view & 58655 & usa & california \\ 83 & fairfield & 58099 & usa & california \\ 84 & redondo beach & 57102 & usa & california \\ 85 & scotts valley & 6037 & usa & california \\ 86 & denver & 492365 & usa & colorado \\ 87 & colorado springs & 215150 & usa & colorado \\ 88 & aurora & 158588 & usa & colorado \\ 89 & lakewood & 113808 & usa & colorado \\ 90 & pueblo & 101686 & usa & colorado \\ 91 & arvada & 84576 & usa & colorado \\ 92 & boulder & 76685 & usa & colorado \\ 93 & fort collins & 64632 & usa & colorado \\ 94 & bridgeport & 142546 & usa & connecticut \\ 95 & hartford & 136392 & usa & connecticut \\ 96 & new haven & 126089 & usa & connecticut \\ 97 & waterbury & 103266 & usa & connecticut \\ 98 & stamford & 102466 & usa & connecticut \\ 99 & norwalk & 77767 & usa & connecticut \\ 100 & new britain & 73840 & usa & connecticut \\ 101 & west hartford & 61301 & usa & connecticut \\ 102 & danbury & 60470 & usa & connecticut \\ 103 & greenwich & 59578 & usa & connecticut \\ 104 & bristol & 57370 & usa & connecticut \\ 105 & meriden & 57118 & usa & connecticut \\ 106 & wilmington & 70195 & usa & delaware \\ 107 & washington & 638333 & usa & district of columbia \\ 108 & jacksonville & 540920 & usa & florida \\ 109 & miami & 346865 & usa & florida \\ 110 & tampa & 271523 & usa & florida \\ 111 & st. petersburg & 238647 & usa & florida \\ 112 & fort lauderdale & 153256 & usa & florida \\ 113 & orlando & 128394 & usa & florida \\ 114 & hollywood & 117188 & usa & florida \\ 115 & miami beach & 96298 & usa & florida \\ 116 & clearwater & 85450 & usa & florida \\ 117 & tallahassee & 81548 & usa & florida \\ 118 & gainesville & 81371 & usa & florida \\ 119 & kendall & 73758 & usa & florida \\ 120 & west palm beach & 62530 & usa & florida \\ 121 & largo & 58977 & usa & florida \\ 122 & pensacola & 57619 & usa & florida \\ 123 & atlanta & 425022 & usa & georgia \\ 124 & columbus & 169441 & usa & georgia \\ 125 & savannah & 141654 & usa & georgia \\ 126 & macon & 116860 & usa & georgia \\ 127 & albany & 74425 & usa & georgia \\ 128 & honolulu & 762874 & usa & hawaii \\ 129 & ewa & 190037 & usa & hawaii \\ 130 & koolaupoko & 109373 & usa & hawaii \\ 131 & boise & 102249 & usa & idaho \\ 132 & chicago & 3005172 & usa & illinois \\ 133 & rockford & 139712 & usa & illinois \\ 134 & peoria & 124160 & usa & illinois \\ 135 & springfield & 100054 & usa & illinois \\ 136 & decatur & 93939 & usa & illinois \\ 137 & aurora & 81293 & usa & illinois \\ 138 & joliet & 77956 & usa & illinois \\ 139 & evanston & 73706 & usa & illinois \\ 140 & waukegan & 67653 & usa & illinois \\ 141 & arlington heights & 66116 & usa & illinois \\ 142 & elgin & 63668 & usa & illinois \\ 143 & cicero & 61232 & usa & illinois \\ 144 & oak lawn & 60590 & usa & illinois \\ 145 & skokie & 60278 & usa & illinois \\ 146 & champaign & 58267 & usa & illinois \\ 147 & indianapolis & 700807 & usa & indiana \\ 148 & fort wayne & 172196 & usa & indiana \\ 149 & gary & 151968 & usa & indiana \\ 150 & evansville & 130496 & usa & indiana \\ 151 & south bend & 109727 & usa & indiana \\ 152 & hammond & 93714 & usa & indiana \\ 153 & muncie & 77216 & usa & indiana \\ 154 & anderson & 64695 & usa & indiana \\ 155 & terre haute & 61125 & usa & indiana \\ 156 & des moines & 191003 & usa & iowa \\ 157 & cedar rapids & 110243 & usa & iowa \\ 158 & davenport & 103254 & usa & iowa \\ 159 & sioux city & 82003 & usa & iowa \\ 160 & waterloo & 75985 & usa & iowa \\ 161 & dubuque & 62321 & usa & iowa \\ 162 & wichita & 279212 & usa & kansas \\ 163 & kansas city & 161148 & usa & kansas \\ 164 & topeka & 118690 & usa & kansas \\ 165 & overland park & 81784 & usa & kansas \\ 166 & louisville & 298451 & usa & kentucky \\ 167 & lexington & 204165 & usa & kentucky \\ 168 & new orleans & 557515 & usa & louisiana \\ 169 & baton rouge & 219419 & usa & louisiana \\ 170 & shreveport & 205820 & usa & louisiana \\ 171 & metairie & 164160 & usa & louisiana \\ 172 & lafayette & 80584 & usa & louisiana \\ 173 & lake charles & 75051 & usa & louisiana \\ 174 & kenner & 66382 & usa & louisiana \\ 175 & monroe & 57597 & usa & louisiana \\ 176 & portland & 61572 & usa & maine \\ 177 & baltimore & 786775 & usa & maryland \\ 178 & silver spring & 72893 & usa & maryland \\ 179 & dundalk & 71293 & usa & maryland \\ 180 & bethesda & 63022 & usa & maryland \\ 181 & boston & 562994 & usa & massachusetts \\ 182 & worcester & 161799 & usa & massachusetts \\ 183 & springfield & 152319 & usa & massachusetts \\ 184 & new bedford & 98478 & usa & massachusetts \\ 185 & cambridge & 95322 & usa & massachusetts \\ 186 & brockton & 95172 & usa & massachusetts \\ 187 & fall river & 92574 & usa & massachusetts \\ 188 & lowell & 92418 & usa & massachusetts \\ 189 & quincy & 84743 & usa & massachusetts \\ 190 & newton & 83622 & usa & massachusetts \\ 191 & lynn & 78471 & usa & massachusetts \\ 192 & somerville & 77372 & usa & massachusetts \\ 193 & framingham & 65113 & usa & massachusetts \\ 194 & lawrence & 63175 & usa & massachusetts \\ 195 & waltham & 58200 & usa & massachusetts \\ 196 & medford & 58076 & usa & massachusetts \\ 197 & detroit & 1203339 & usa & michigan \\ 198 & grand rapids & 181843 & usa & michigan \\ 199 & warren & 161134 & usa & michigan \\ 200 & flint & 159611 & usa & michigan \\ 201 & lansing & 130414 & usa & michigan \\ 202 & sterling heights & 108999 & usa & michigan \\ 203 & ann arbor & 107969 & usa & michigan \\ 204 & livonia & 104814 & usa & michigan \\ 205 & dearborn & 90660 & usa & michigan \\ 206 & westland & 84603 & usa & michigan \\ 207 & kalamazoo & 79722 & usa & michigan \\ 208 & taylor & 77568 & usa & michigan \\ 209 & saginaw & 77508 & usa & michigan \\ 210 & pontiac & 76715 & usa & michigan \\ 211 & st. clair shores & 76210 & usa & michigan \\ 212 & southfield & 75568 & usa & michigan \\ 213 & clinton & 72400 & usa & michigan \\ 214 & royal oak & 70893 & usa & michigan \\ 215 & dearborn heights & 67706 & usa & michigan \\ 216 & troy & 67102 & usa & michigan \\ 217 & waterford & 64250 & usa & michigan \\ 218 & wyoming & 59616 & usa & michigan \\ 219 & redford & 58441 & usa & michigan \\ 220 & farmington hills & 58056 & usa & michigan \\ 221 & minneapolis & 370951 & usa & minnesota \\ 222 & st. paul & 270230 & usa & minnesota \\ 223 & duluth & 92811 & usa & minnesota \\ 224 & bloomington & 81831 & usa & minnesota \\ 225 & rochester & 57906 & usa & minnesota \\ 226 & jackson & 202895 & usa & mississippi \\ 227 & st. louis & 453085 & usa & missouri \\ 228 & kansas city & 448159 & usa & missouri \\ 229 & springfield & 133116 & usa & missouri \\ 230 & independence & 111797 & usa & missouri \\ 231 & st. joseph & 76691 & usa & missouri \\ 232 & columbia & 62061 & usa & missouri \\ 233 & billings & 66842 & usa & montana \\ 234 & great falls & 56725 & usa & montana \\ 235 & omaha & 314255 & usa & nebraska \\ 236 & lincoln & 171932 & usa & nebraska \\ 237 & las vegas & 164674 & usa & nevada \\ 238 & reno & 100756 & usa & nevada \\ 239 & manchester & 90936 & usa & new hampshire \\ 240 & nashua & 67865 & usa & new hampshire \\ 241 & newark & 329248 & usa & new jersey \\ 242 & jersey city & 223532 & usa & new jersey \\ 243 & paterson & 137970 & usa & new jersey \\ 244 & elizabeth & 106201 & usa & new jersey \\ 245 & trenton & 92124 & usa & new jersey \\ 246 & woodbridge & 90074 & usa & new jersey \\ 247 & camden & 84910 & usa & new jersey \\ 248 & east orange & 77878 & usa & new jersey \\ 249 & clifton & 74388 & usa & new jersey \\ 250 & edison & 70193 & usa & new jersey \\ 251 & cherry hill & 68785 & usa & new jersey \\ 252 & bayonne & 65047 & usa & new jersey \\ 253 & middletown & 61615 & usa & new jersey \\ 254 & irvington & 61493 & usa & new jersey \\ 255 & albuquerque & 331767 & usa & new mexico \\ 256 & new york & 7071639 & usa & new york \\ 257 & buffalo & 357870 & usa & new york \\ 258 & rochester & 241741 & usa & new york \\ 259 & yonkers & 195351 & usa & new york \\ 260 & syracuse & 170105 & usa & new york \\ 261 & albany & 101727 & usa & new york \\ 262 & cheektowaga & 92145 & usa & new york \\ 263 & utica & 75632 & usa & new york \\ 264 & niagara falls & 71384 & usa & new york \\ 265 & new rochelle & 70794 & usa & new york \\ 266 & schenectady & 67972 & usa & new york \\ 267 & mount vernon & 66713 & usa & new york \\ 268 & irondequoit & 57648 & usa & new york \\ 269 & levittown & 57045 & usa & new york \\ 270 & charlotte & 314447 & usa & north carolina \\ 271 & greensboro & 155642 & usa & north carolina \\ 272 & raleigh & 149771 & usa & north carolina \\ 273 & winston-salem & 131885 & usa & north carolina \\ 274 & durham & 100538 & usa & north carolina \\ 275 & high point & 64107 & usa & north carolina \\ 276 & fayetteville & 59507 & usa & north carolina \\ 277 & fargo & 61308 & usa & north dakota \\ 278 & cleveland & 573822 & usa & ohio \\ 279 & columbus & 564871 & usa & ohio \\ 280 & cincinnati & 385457 & usa & ohio \\ 281 & toledo & 354635 & usa & ohio \\ 282 & akron & 237177 & usa & ohio \\ 283 & dayton & 203371 & usa & ohio \\ 284 & youngstown & 115436 & usa & ohio \\ 285 & canton & 93077 & usa & ohio \\ 286 & parma & 92548 & usa & ohio \\ 287 & lorain & 75416 & usa & ohio \\ 288 & springfield & 72563 & usa & ohio \\ 289 & hamilton & 63189 & usa & ohio \\ 290 & lakewood & 61963 & usa & ohio \\ 291 & kettering & 61186 & usa & ohio \\ 292 & euclid & 59999 & usa & ohio \\ 293 & elyria & 57504 & usa & ohio \\ 294 & oklahoma city & 403213 & usa & oklahoma \\ 295 & tulsa & 360919 & usa & oklahoma \\ 296 & lawton & 80054 & usa & oklahoma \\ 297 & norman & 68020 & usa & oklahoma \\ 298 & portland & 366383 & usa & oregon \\ 299 & eugene & 105664 & usa & oregon \\ 300 & salem & 89233 & usa & oregon \\ 301 & philadelphia & 1688210 & usa & pennsylvania \\ 302 & pittsburgh & 423938 & usa & pennsylvania \\ 303 & erie & 119123 & usa & pennsylvania \\ 304 & allentown & 103758 & usa & pennsylvania \\ 305 & scranton & 88117 & usa & pennsylvania \\ 306 & upper darby & 84054 & usa & pennsylvania \\ 307 & reading & 78686 & usa & pennsylvania \\ 308 & bethlehem & 70419 & usa & pennsylvania \\ 309 & lower merion & 59651 & usa & pennsylvania \\ 310 & abingdon & 59084 & usa & pennsylvania \\ 311 & bristol township & 58733 & usa & pennsylvania \\ 312 & penn hills & 57632 & usa & pennsylvania \\ 313 & altoona & 57078 & usa & pennsylvania \\ 314 & providence & 156804 & usa & rhode island \\ 315 & warwick & 87123 & usa & rhode island \\ 316 & cranston & 71992 & usa & rhode island \\ 317 & pawtucket & 71204 & usa & rhode island \\ 318 & columbia & 101229 & usa & south carolina \\ 319 & charleston & 69855 & usa & south carolina \\ 320 & north charleston & 62504 & usa & south carolina \\ 321 & greenville & 58242 & usa & south carolina \\ 322 & sioux falls & 81343 & usa & south dakota \\ 323 & memphis & 646356 & usa & tennessee \\ 324 & nashville & 455651 & usa & tennessee \\ 325 & knoxville & 175030 & usa & tennessee \\ 326 & chattanooga & 169728 & usa & tennessee \\ 327 & houston & 1595138 & usa & texas \\ 328 & dallas & 904078 & usa & texas \\ 329 & san antonio & 785880 & usa & texas \\ 330 & el paso & 425259 & usa & texas \\ 331 & fort worth & 385164 & usa & texas \\ 332 & austin & 345496 & usa & texas \\ 333 & corpus christi & 231999 & usa & texas \\ 334 & lubbock & 173979 & usa & texas \\ 335 & arlington & 160123 & usa & texas \\ 336 & amarillo & 149230 & usa & texas \\ 337 & garland & 138857 & usa & texas \\ 338 & beaumont & 118102 & usa & texas \\ 339 & pasadena & 112560 & usa & texas \\ 340 & irving & 109943 & usa & texas \\ 341 & waco & 101261 & usa & texas \\ 342 & abilene & 98315 & usa & texas \\ 343 & wichita falls & 94201 & usa & texas \\ 344 & laredo & 91449 & usa & texas \\ 345 & odessa & 90027 & usa & texas \\ 346 & brownsville & 84997 & usa & texas \\ 347 & san angelo & 73240 & usa & texas \\ 348 & richardson & 72496 & usa & texas \\ 349 & plano & 72331 & usa & texas \\ 350 & grand prairie & 71462 & usa & texas \\ 351 & midland & 70525 & usa & texas \\ 352 & tyler & 70508 & usa & texas \\ 353 & mesquite & 67053 & usa & texas \\ 354 & mcallen & 67042 & usa & texas \\ 355 & longview & 62762 & usa & texas \\ 356 & port arthur & 61195 & usa & texas \\ 357 & salt lake city & 163034 & usa & utah \\ 358 & provo & 74111 & usa & utah \\ 359 & west valley & 72299 & usa & utah \\ 360 & ogden & 64407 & usa & utah \\ 361 & norfolk & 266979 & usa & virginia \\ 362 & virginia beach & 262199 & usa & virginia \\ 363 & richmond & 219214 & usa & virginia \\ 364 & arlington & 152599 & usa & virginia \\ 365 & newport news & 144903 & usa & virginia \\ 366 & hampton & 122617 & usa & virginia \\ 367 & chesapeake & 114226 & usa & virginia \\ 368 & portsmouth & 104577 & usa & virginia \\ 369 & alexandria & 103217 & usa & virginia \\ 370 & roanoke & 100427 & usa & virginia \\ 371 & lynchburg & 66743 & usa & virginia \\ 372 & seattle & 493846 & usa & washington \\ 373 & spokane & 171300 & usa & washington \\ 374 & tacoma & 158501 & usa & washington \\ 375 & bellevue & 73903 & usa & washington \\ 376 & charleston & 63968 & usa & west virginia \\ 377 & huntington & 63684 & usa & west virginia \\ 378 & milwaukee & 636212 & usa & wisconsin \\ 379 & madison & 170616 & usa & wisconsin \\ 380 & green bay & 87899 & usa & wisconsin \\ 381 & racine & 85725 & usa & wisconsin \\ 382 & kenosha & 77685 & usa & wisconsin \\ 383 & west allis & 63982 & usa & wisconsin \\ 384 & appleton & 58913 & usa & wisconsin \\ 385 & casper & 51016 & usa & wyoming \\ \bottomrule \end{tabular}
\begin{tabular}{ll} \toprule & city_name \\ \midrule 0 & omaha \\ \bottomrule \end{tabular}
what is the biggest city in nebraska <table_name> : city <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>city_name</th> <th>population</th> <th>country_name</th> <th>state_name</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>birmingham</td> <td>284413</td> <td>usa</td> <td>alabama</td> </tr> <tr> <th>1</th> <td>mobile</td> <td>200452</td> <td>usa</td> <td>alabama</td> </tr> <tr> <th>2</th> <td>montgomery</td> <td>177857</td> <td>usa</td> <td>alabama</td> </tr> <tr> <th>3</th> <td>huntsville</td> <td>142513</td> <td>usa</td> <td>alabama</td> </tr> <tr> <th>4</th> <td>tuscaloosa</td> <td>75143</td> <td>usa</td> <td>alabama</td> </tr> <tr> <th>5</th> <td>anchorage</td> <td>174431</td> <td>usa</td> <td>alaska</td> </tr> <tr> <th>6</th> <td>phoenix</td> <td>789704</td> <td>usa</td> <td>arizona</td> </tr> <tr> <th>7</th> <td>tucson</td> <td>330537</td> <td>usa</td> <td>arizona</td> </tr> <tr> <th>8</th> <td>mesa</td> <td>152453</td> <td>usa</td> <td>arizona</td> </tr> <tr> <th>9</th> <td>tempe</td> <td>106919</td> <td>usa</td> <td>arizona</td> </tr> <tr> <th>10</th> <td>glendale</td> <td>96988</td> <td>usa</td> <td>arizona</td> </tr> <tr> <th>11</th> <td>scottsdale</td> <td>88622</td> <td>usa</td> <td>arizona</td> </tr> <tr> <th>12</th> <td>little rock</td> <td>158915</td> <td>usa</td> <td>arkansas</td> </tr> <tr> <th>13</th> <td>fort smith</td> <td>71384</td> <td>usa</td> <td>arkansas</td> </tr> <tr> <th>14</th> <td>north little rock</td> <td>64388</td> <td>usa</td> <td>arkansas</td> </tr> <tr> <th>15</th> <td>los angeles</td> <td>2966850</td> <td>usa</td> <td>california</td> </tr> <tr> <th>16</th> <td>san diego</td> <td>875538</td> <td>usa</td> <td>california</td> </tr> <tr> <th>17</th> <td>san francisco</td> <td>678974</td> <td>usa</td> <td>california</td> </tr> <tr> <th>18</th> <td>san jose</td> <td>629442</td> <td>usa</td> <td>california</td> </tr> <tr> <th>19</th> <td>long beach</td> <td>361334</td> <td>usa</td> <td>california</td> </tr> <tr> <th>20</th> <td>oakland</td> <td>339337</td> <td>usa</td> <td>california</td> </tr> <tr> <th>21</th> <td>sacramento</td> <td>275741</td> <td>usa</td> <td>california</td> </tr> <tr> <th>22</th> <td>anaheim</td> <td>219311</td> <td>usa</td> <td>california</td> </tr> <tr> <th>23</th> <td>fresno</td> <td>218202</td> <td>usa</td> <td>california</td> </tr> <tr> <th>24</th> <td>santa ana</td> <td>203713</td> <td>usa</td> <td>california</td> </tr> <tr> <th>25</th> <td>riverside</td> <td>170876</td> <td>usa</td> <td>california</td> </tr> <tr> <th>26</th> <td>huntington beach</td> <td>170505</td> <td>usa</td> <td>california</td> </tr> <tr> <th>27</th> <td>stockton</td> <td>149779</td> <td>usa</td> <td>california</td> </tr> <tr> <th>28</th> <td>glendale</td> <td>139060</td> <td>usa</td> <td>california</td> </tr> <tr> <th>29</th> <td>fremont</td> <td>131945</td> <td>usa</td> <td>california</td> </tr> <tr> <th>30</th> <td>torrance</td> <td>131497</td> <td>usa</td> <td>california</td> </tr> <tr> <th>31</th> <td>garden grove</td> <td>123351</td> <td>usa</td> <td>california</td> </tr> <tr> <th>32</th> <td>san bernardino</td> <td>118794</td> <td>usa</td> <td>california</td> </tr> <tr> <th>33</th> <td>pasadena</td> <td>118072</td> <td>usa</td> <td>california</td> </tr> <tr> <th>34</th> <td>east los angeles</td> <td>110017</td> <td>usa</td> <td>california</td> </tr> <tr> <th>35</th> <td>oxnard</td> <td>108195</td> <td>usa</td> <td>california</td> </tr> <tr> <th>36</th> <td>modesto</td> <td>106963</td> <td>usa</td> <td>california</td> </tr> <tr> <th>37</th> <td>sunnyvale</td> <td>106618</td> <td>usa</td> <td>california</td> </tr> <tr> <th>38</th> <td>bakersfield</td> <td>105611</td> <td>usa</td> <td>california</td> </tr> <tr> <th>39</th> <td>concord</td> <td>103763</td> <td>usa</td> <td>california</td> </tr> <tr> <th>40</th> <td>berkeley</td> <td>103328</td> <td>usa</td> <td>california</td> </tr> <tr> <th>41</th> <td>fullerton</td> <td>102246</td> <td>usa</td> <td>california</td> </tr> <tr> <th>42</th> <td>inglewood</td> <td>94162</td> <td>usa</td> <td>california</td> </tr> <tr> <th>43</th> <td>hayward</td> <td>93585</td> <td>usa</td> <td>california</td> </tr> <tr> <th>44</th> <td>pomona</td> <td>92742</td> <td>usa</td> <td>california</td> </tr> <tr> <th>45</th> <td>orange</td> <td>91450</td> <td>usa</td> <td>california</td> </tr> <tr> <th>46</th> <td>ontario</td> <td>88820</td> <td>usa</td> <td>california</td> </tr> <tr> <th>47</th> <td>santa monica</td> <td>88314</td> <td>usa</td> <td>california</td> </tr> <tr> <th>48</th> <td>santa clara</td> <td>87700</td> <td>usa</td> <td>california</td> </tr> <tr> <th>49</th> <td>citrus heights</td> <td>85911</td> <td>usa</td> <td>california</td> </tr> <tr> <th>50</th> <td>norwalk</td> <td>84901</td> <td>usa</td> <td>california</td> </tr> <tr> <th>51</th> <td>burbank</td> <td>84625</td> <td>usa</td> <td>california</td> </tr> <tr> <th>52</th> <td>chula vista</td> <td>83927</td> <td>usa</td> <td>california</td> </tr> <tr> <th>53</th> <td>santa rosa</td> <td>83205</td> <td>usa</td> <td>california</td> </tr> <tr> <th>54</th> <td>downey</td> <td>82602</td> <td>usa</td> <td>california</td> </tr> <tr> <th>55</th> <td>costa mesa</td> <td>82291</td> <td>usa</td> <td>california</td> </tr> <tr> <th>56</th> <td>compton</td> <td>81230</td> <td>usa</td> <td>california</td> </tr> <tr> <th>57</th> <td>carson</td> <td>81221</td> <td>usa</td> <td>california</td> </tr> <tr> <th>58</th> <td>salinas</td> <td>80479</td> <td>usa</td> <td>california</td> </tr> <tr> <th>59</th> <td>west covina</td> <td>80292</td> <td>usa</td> <td>california</td> </tr> <tr> <th>60</th> <td>vallejo</td> <td>80188</td> <td>usa</td> <td>california</td> </tr> <tr> <th>61</th> <td>el monte</td> <td>79494</td> <td>usa</td> <td>california</td> </tr> <tr> <th>62</th> <td>daly city</td> <td>78519</td> <td>usa</td> <td>california</td> </tr> <tr> <th>63</th> <td>thousand oaks</td> <td>77797</td> <td>usa</td> <td>california</td> </tr> <tr> <th>64</th> <td>san mateo</td> <td>77640</td> <td>usa</td> <td>california</td> </tr> <tr> <th>65</th> <td>simi valley</td> <td>77500</td> <td>usa</td> <td>california</td> </tr> <tr> <th>66</th> <td>oceanside</td> <td>76698</td> <td>usa</td> <td>california</td> </tr> <tr> <th>67</th> <td>richmond</td> <td>74676</td> <td>usa</td> <td>california</td> </tr> <tr> <th>68</th> <td>lakewood</td> <td>74654</td> <td>usa</td> <td>california</td> </tr> <tr> <th>69</th> <td>santa barbara</td> <td>74542</td> <td>usa</td> <td>california</td> </tr> <tr> <th>70</th> <td>el cajon</td> <td>73892</td> <td>usa</td> <td>california</td> </tr> <tr> <th>71</th> <td>ventura</td> <td>73774</td> <td>usa</td> <td>california</td> </tr> <tr> <th>72</th> <td>westminster</td> <td>71133</td> <td>usa</td> <td>california</td> </tr> <tr> <th>73</th> <td>whittier</td> <td>68558</td> <td>usa</td> <td>california</td> </tr> <tr> <th>74</th> <td>south gate</td> <td>66784</td> <td>usa</td> <td>california</td> </tr> <tr> <th>75</th> <td>alhambra</td> <td>64767</td> <td>usa</td> <td>california</td> </tr> <tr> <th>76</th> <td>buena park</td> <td>64165</td> <td>usa</td> <td>california</td> </tr> <tr> <th>77</th> <td>san leandro</td> <td>63952</td> <td>usa</td> <td>california</td> </tr> <tr> <th>78</th> <td>alameda</td> <td>63852</td> <td>usa</td> <td>california</td> </tr> <tr> <th>79</th> <td>newport beach</td> <td>63475</td> <td>usa</td> <td>california</td> </tr> <tr> <th>80</th> <td>escondido</td> <td>62480</td> <td>usa</td> <td>california</td> </tr> <tr> <th>81</th> <td>irvine</td> <td>62134</td> <td>usa</td> <td>california</td> </tr> <tr> <th>82</th> <td>mountain view</td> <td>58655</td> <td>usa</td> <td>california</td> </tr> <tr> <th>83</th> <td>fairfield</td> <td>58099</td> <td>usa</td> <td>california</td> </tr> <tr> <th>84</th> <td>redondo beach</td> <td>57102</td> <td>usa</td> <td>california</td> </tr> <tr> <th>85</th> <td>scotts valley</td> <td>6037</td> <td>usa</td> <td>california</td> </tr> <tr> <th>86</th> <td>denver</td> <td>492365</td> <td>usa</td> <td>colorado</td> </tr> <tr> <th>87</th> <td>colorado springs</td> <td>215150</td> <td>usa</td> <td>colorado</td> </tr> <tr> <th>88</th> <td>aurora</td> <td>158588</td> <td>usa</td> <td>colorado</td> </tr> <tr> <th>89</th> <td>lakewood</td> <td>113808</td> <td>usa</td> <td>colorado</td> </tr> <tr> <th>90</th> <td>pueblo</td> <td>101686</td> <td>usa</td> <td>colorado</td> </tr> <tr> <th>91</th> <td>arvada</td> <td>84576</td> <td>usa</td> <td>colorado</td> </tr> <tr> <th>92</th> <td>boulder</td> <td>76685</td> <td>usa</td> <td>colorado</td> </tr> <tr> <th>93</th> <td>fort collins</td> <td>64632</td> <td>usa</td> <td>colorado</td> </tr> <tr> <th>94</th> <td>bridgeport</td> <td>142546</td> <td>usa</td> <td>connecticut</td> </tr> <tr> <th>95</th> <td>hartford</td> <td>136392</td> <td>usa</td> <td>connecticut</td> </tr> <tr> <th>96</th> <td>new haven</td> <td>126089</td> <td>usa</td> <td>connecticut</td> </tr> <tr> <th>97</th> <td>waterbury</td> <td>103266</td> <td>usa</td> <td>connecticut</td> </tr> <tr> <th>98</th> <td>stamford</td> <td>102466</td> <td>usa</td> <td>connecticut</td> </tr> <tr> <th>99</th> <td>norwalk</td> <td>77767</td> <td>usa</td> <td>connecticut</td> </tr> <tr> <th>100</th> <td>new britain</td> <td>73840</td> <td>usa</td> <td>connecticut</td> </tr> <tr> <th>101</th> <td>west hartford</td> <td>61301</td> <td>usa</td> <td>connecticut</td> </tr> <tr> <th>102</th> <td>danbury</td> <td>60470</td> <td>usa</td> <td>connecticut</td> </tr> <tr> <th>103</th> <td>greenwich</td> <td>59578</td> <td>usa</td> <td>connecticut</td> </tr> <tr> <th>104</th> <td>bristol</td> <td>57370</td> <td>usa</td> <td>connecticut</td> </tr> <tr> <th>105</th> <td>meriden</td> <td>57118</td> <td>usa</td> <td>connecticut</td> </tr> <tr> <th>106</th> <td>wilmington</td> <td>70195</td> <td>usa</td> <td>delaware</td> </tr> <tr> <th>107</th> <td>washington</td> <td>638333</td> <td>usa</td> <td>district of columbia</td> </tr> <tr> <th>108</th> <td>jacksonville</td> <td>540920</td> <td>usa</td> <td>florida</td> </tr> <tr> <th>109</th> <td>miami</td> <td>346865</td> <td>usa</td> <td>florida</td> </tr> <tr> <th>110</th> <td>tampa</td> <td>271523</td> <td>usa</td> <td>florida</td> </tr> <tr> <th>111</th> <td>st. petersburg</td> <td>238647</td> <td>usa</td> <td>florida</td> </tr> <tr> <th>112</th> <td>fort lauderdale</td> <td>153256</td> <td>usa</td> <td>florida</td> </tr> <tr> <th>113</th> <td>orlando</td> <td>128394</td> <td>usa</td> <td>florida</td> </tr> <tr> <th>114</th> <td>hollywood</td> <td>117188</td> <td>usa</td> <td>florida</td> </tr> <tr> <th>115</th> <td>miami beach</td> <td>96298</td> <td>usa</td> <td>florida</td> </tr> <tr> <th>116</th> <td>clearwater</td> <td>85450</td> <td>usa</td> <td>florida</td> </tr> <tr> <th>117</th> <td>tallahassee</td> <td>81548</td> <td>usa</td> <td>florida</td> </tr> <tr> <th>118</th> <td>gainesville</td> <td>81371</td> <td>usa</td> <td>florida</td> </tr> <tr> <th>119</th> <td>kendall</td> <td>73758</td> <td>usa</td> <td>florida</td> </tr> <tr> <th>120</th> <td>west palm beach</td> <td>62530</td> <td>usa</td> <td>florida</td> </tr> <tr> <th>121</th> <td>largo</td> <td>58977</td> <td>usa</td> <td>florida</td> </tr> <tr> <th>122</th> <td>pensacola</td> <td>57619</td> <td>usa</td> <td>florida</td> </tr> <tr> <th>123</th> <td>atlanta</td> <td>425022</td> <td>usa</td> <td>georgia</td> </tr> <tr> <th>124</th> <td>columbus</td> <td>169441</td> <td>usa</td> <td>georgia</td> </tr> <tr> <th>125</th> <td>savannah</td> <td>141654</td> <td>usa</td> <td>georgia</td> </tr> <tr> <th>126</th> <td>macon</td> <td>116860</td> <td>usa</td> <td>georgia</td> </tr> <tr> <th>127</th> <td>albany</td> <td>74425</td> <td>usa</td> <td>georgia</td> </tr> <tr> <th>128</th> <td>honolulu</td> <td>762874</td> <td>usa</td> <td>hawaii</td> </tr> <tr> <th>129</th> <td>ewa</td> <td>190037</td> <td>usa</td> <td>hawaii</td> </tr> <tr> <th>130</th> <td>koolaupoko</td> <td>109373</td> <td>usa</td> <td>hawaii</td> </tr> <tr> <th>131</th> <td>boise</td> <td>102249</td> <td>usa</td> <td>idaho</td> </tr> <tr> <th>132</th> <td>chicago</td> <td>3005172</td> <td>usa</td> <td>illinois</td> </tr> <tr> <th>133</th> <td>rockford</td> <td>139712</td> <td>usa</td> <td>illinois</td> </tr> <tr> <th>134</th> <td>peoria</td> <td>124160</td> <td>usa</td> <td>illinois</td> </tr> <tr> <th>135</th> <td>springfield</td> <td>100054</td> <td>usa</td> <td>illinois</td> </tr> <tr> <th>136</th> <td>decatur</td> <td>93939</td> <td>usa</td> <td>illinois</td> </tr> <tr> <th>137</th> <td>aurora</td> <td>81293</td> <td>usa</td> <td>illinois</td> </tr> <tr> <th>138</th> <td>joliet</td> <td>77956</td> <td>usa</td> <td>illinois</td> </tr> <tr> <th>139</th> <td>evanston</td> <td>73706</td> <td>usa</td> <td>illinois</td> </tr> <tr> <th>140</th> <td>waukegan</td> <td>67653</td> <td>usa</td> <td>illinois</td> </tr> <tr> <th>141</th> <td>arlington heights</td> <td>66116</td> <td>usa</td> <td>illinois</td> </tr> <tr> <th>142</th> <td>elgin</td> <td>63668</td> <td>usa</td> <td>illinois</td> </tr> <tr> <th>143</th> <td>cicero</td> <td>61232</td> <td>usa</td> <td>illinois</td> </tr> <tr> <th>144</th> <td>oak lawn</td> <td>60590</td> <td>usa</td> <td>illinois</td> </tr> <tr> <th>145</th> <td>skokie</td> <td>60278</td> <td>usa</td> <td>illinois</td> </tr> <tr> <th>146</th> <td>champaign</td> <td>58267</td> <td>usa</td> <td>illinois</td> </tr> <tr> <th>147</th> <td>indianapolis</td> <td>700807</td> <td>usa</td> <td>indiana</td> </tr> <tr> <th>148</th> <td>fort wayne</td> <td>172196</td> <td>usa</td> <td>indiana</td> </tr> <tr> <th>149</th> <td>gary</td> <td>151968</td> <td>usa</td> <td>indiana</td> </tr> <tr> <th>150</th> <td>evansville</td> <td>130496</td> <td>usa</td> <td>indiana</td> </tr> <tr> <th>151</th> <td>south bend</td> <td>109727</td> <td>usa</td> <td>indiana</td> </tr> <tr> <th>152</th> <td>hammond</td> <td>93714</td> <td>usa</td> <td>indiana</td> </tr> <tr> <th>153</th> <td>muncie</td> <td>77216</td> <td>usa</td> <td>indiana</td> </tr> <tr> <th>154</th> <td>anderson</td> <td>64695</td> <td>usa</td> <td>indiana</td> </tr> <tr> <th>155</th> <td>terre haute</td> <td>61125</td> <td>usa</td> <td>indiana</td> </tr> <tr> <th>156</th> <td>des moines</td> <td>191003</td> <td>usa</td> <td>iowa</td> </tr> <tr> <th>157</th> <td>cedar rapids</td> <td>110243</td> <td>usa</td> <td>iowa</td> </tr> <tr> <th>158</th> <td>davenport</td> <td>103254</td> <td>usa</td> <td>iowa</td> </tr> <tr> <th>159</th> <td>sioux city</td> <td>82003</td> <td>usa</td> <td>iowa</td> </tr> <tr> <th>160</th> <td>waterloo</td> <td>75985</td> <td>usa</td> <td>iowa</td> </tr> <tr> <th>161</th> <td>dubuque</td> <td>62321</td> <td>usa</td> <td>iowa</td> </tr> <tr> <th>162</th> <td>wichita</td> <td>279212</td> <td>usa</td> <td>kansas</td> </tr> <tr> <th>163</th> <td>kansas city</td> <td>161148</td> <td>usa</td> <td>kansas</td> </tr> <tr> <th>164</th> <td>topeka</td> <td>118690</td> <td>usa</td> <td>kansas</td> </tr> <tr> <th>165</th> <td>overland park</td> <td>81784</td> <td>usa</td> <td>kansas</td> </tr> <tr> <th>166</th> <td>louisville</td> <td>298451</td> <td>usa</td> <td>kentucky</td> </tr> <tr> <th>167</th> <td>lexington</td> <td>204165</td> <td>usa</td> <td>kentucky</td> </tr> <tr> <th>168</th> <td>new orleans</td> <td>557515</td> <td>usa</td> <td>louisiana</td> </tr> <tr> <th>169</th> <td>baton rouge</td> <td>219419</td> <td>usa</td> <td>louisiana</td> </tr> <tr> <th>170</th> <td>shreveport</td> <td>205820</td> <td>usa</td> <td>louisiana</td> </tr> <tr> <th>171</th> <td>metairie</td> <td>164160</td> <td>usa</td> <td>louisiana</td> </tr> <tr> <th>172</th> <td>lafayette</td> <td>80584</td> <td>usa</td> <td>louisiana</td> </tr> <tr> <th>173</th> <td>lake charles</td> <td>75051</td> <td>usa</td> <td>louisiana</td> </tr> <tr> <th>174</th> <td>kenner</td> <td>66382</td> <td>usa</td> <td>louisiana</td> </tr> <tr> <th>175</th> <td>monroe</td> <td>57597</td> <td>usa</td> <td>louisiana</td> </tr> <tr> <th>176</th> <td>portland</td> <td>61572</td> <td>usa</td> <td>maine</td> </tr> <tr> <th>177</th> <td>baltimore</td> <td>786775</td> <td>usa</td> <td>maryland</td> </tr> <tr> <th>178</th> <td>silver spring</td> <td>72893</td> <td>usa</td> <td>maryland</td> </tr> <tr> <th>179</th> <td>dundalk</td> <td>71293</td> <td>usa</td> <td>maryland</td> </tr> <tr> <th>180</th> <td>bethesda</td> <td>63022</td> <td>usa</td> <td>maryland</td> </tr> <tr> <th>181</th> <td>boston</td> <td>562994</td> <td>usa</td> <td>massachusetts</td> </tr> <tr> <th>182</th> <td>worcester</td> <td>161799</td> <td>usa</td> <td>massachusetts</td> </tr> <tr> <th>183</th> <td>springfield</td> <td>152319</td> <td>usa</td> <td>massachusetts</td> </tr> <tr> <th>184</th> <td>new bedford</td> <td>98478</td> <td>usa</td> <td>massachusetts</td> </tr> <tr> <th>185</th> <td>cambridge</td> <td>95322</td> <td>usa</td> <td>massachusetts</td> </tr> <tr> <th>186</th> <td>brockton</td> <td>95172</td> <td>usa</td> <td>massachusetts</td> </tr> <tr> <th>187</th> <td>fall river</td> <td>92574</td> <td>usa</td> <td>massachusetts</td> </tr> <tr> <th>188</th> <td>lowell</td> <td>92418</td> <td>usa</td> <td>massachusetts</td> </tr> <tr> <th>189</th> <td>quincy</td> <td>84743</td> <td>usa</td> <td>massachusetts</td> </tr> <tr> <th>190</th> <td>newton</td> <td>83622</td> <td>usa</td> <td>massachusetts</td> </tr> <tr> <th>191</th> <td>lynn</td> <td>78471</td> <td>usa</td> <td>massachusetts</td> </tr> <tr> <th>192</th> <td>somerville</td> <td>77372</td> <td>usa</td> <td>massachusetts</td> </tr> <tr> <th>193</th> <td>framingham</td> <td>65113</td> <td>usa</td> <td>massachusetts</td> </tr> <tr> <th>194</th> <td>lawrence</td> <td>63175</td> <td>usa</td> <td>massachusetts</td> </tr> <tr> <th>195</th> <td>waltham</td> <td>58200</td> <td>usa</td> <td>massachusetts</td> </tr> <tr> <th>196</th> <td>medford</td> <td>58076</td> <td>usa</td> <td>massachusetts</td> </tr> <tr> <th>197</th> <td>detroit</td> <td>1203339</td> <td>usa</td> <td>michigan</td> </tr> <tr> <th>198</th> <td>grand rapids</td> <td>181843</td> <td>usa</td> <td>michigan</td> </tr> <tr> <th>199</th> <td>warren</td> <td>161134</td> <td>usa</td> <td>michigan</td> </tr> <tr> <th>200</th> <td>flint</td> <td>159611</td> <td>usa</td> <td>michigan</td> </tr> <tr> <th>201</th> <td>lansing</td> <td>130414</td> <td>usa</td> <td>michigan</td> </tr> <tr> <th>202</th> <td>sterling heights</td> <td>108999</td> <td>usa</td> <td>michigan</td> </tr> <tr> <th>203</th> <td>ann arbor</td> <td>107969</td> <td>usa</td> <td>michigan</td> </tr> <tr> <th>204</th> <td>livonia</td> <td>104814</td> <td>usa</td> <td>michigan</td> </tr> <tr> <th>205</th> <td>dearborn</td> <td>90660</td> <td>usa</td> <td>michigan</td> </tr> <tr> <th>206</th> <td>westland</td> <td>84603</td> <td>usa</td> <td>michigan</td> </tr> <tr> <th>207</th> <td>kalamazoo</td> <td>79722</td> <td>usa</td> <td>michigan</td> </tr> <tr> <th>208</th> <td>taylor</td> <td>77568</td> <td>usa</td> <td>michigan</td> </tr> <tr> <th>209</th> <td>saginaw</td> <td>77508</td> <td>usa</td> <td>michigan</td> </tr> <tr> <th>210</th> <td>pontiac</td> <td>76715</td> <td>usa</td> <td>michigan</td> </tr> <tr> <th>211</th> <td>st. clair shores</td> <td>76210</td> <td>usa</td> <td>michigan</td> </tr> <tr> <th>212</th> <td>southfield</td> <td>75568</td> <td>usa</td> <td>michigan</td> </tr> <tr> <th>213</th> <td>clinton</td> <td>72400</td> <td>usa</td> <td>michigan</td> </tr> <tr> <th>214</th> <td>royal oak</td> <td>70893</td> <td>usa</td> <td>michigan</td> </tr> <tr> <th>215</th> <td>dearborn heights</td> <td>67706</td> <td>usa</td> <td>michigan</td> </tr> <tr> <th>216</th> <td>troy</td> <td>67102</td> <td>usa</td> <td>michigan</td> </tr> <tr> <th>217</th> <td>waterford</td> <td>64250</td> <td>usa</td> <td>michigan</td> </tr> <tr> <th>218</th> <td>wyoming</td> <td>59616</td> <td>usa</td> <td>michigan</td> </tr> <tr> <th>219</th> <td>redford</td> <td>58441</td> <td>usa</td> <td>michigan</td> </tr> <tr> <th>220</th> <td>farmington hills</td> <td>58056</td> <td>usa</td> <td>michigan</td> </tr> <tr> <th>221</th> <td>minneapolis</td> <td>370951</td> <td>usa</td> <td>minnesota</td> </tr> <tr> <th>222</th> <td>st. paul</td> <td>270230</td> <td>usa</td> <td>minnesota</td> </tr> <tr> <th>223</th> <td>duluth</td> <td>92811</td> <td>usa</td> <td>minnesota</td> </tr> <tr> <th>224</th> <td>bloomington</td> <td>81831</td> <td>usa</td> <td>minnesota</td> </tr> <tr> <th>225</th> <td>rochester</td> <td>57906</td> <td>usa</td> <td>minnesota</td> </tr> <tr> <th>226</th> <td>jackson</td> <td>202895</td> <td>usa</td> <td>mississippi</td> </tr> <tr> <th>227</th> <td>st. louis</td> <td>453085</td> <td>usa</td> <td>missouri</td> </tr> <tr> <th>228</th> <td>kansas city</td> <td>448159</td> <td>usa</td> <td>missouri</td> </tr> <tr> <th>229</th> <td>springfield</td> <td>133116</td> <td>usa</td> <td>missouri</td> </tr> <tr> <th>230</th> <td>independence</td> <td>111797</td> <td>usa</td> <td>missouri</td> </tr> <tr> <th>231</th> <td>st. joseph</td> <td>76691</td> <td>usa</td> <td>missouri</td> </tr> <tr> <th>232</th> <td>columbia</td> <td>62061</td> <td>usa</td> <td>missouri</td> </tr> <tr> <th>233</th> <td>billings</td> <td>66842</td> <td>usa</td> <td>montana</td> </tr> <tr> <th>234</th> <td>great falls</td> <td>56725</td> <td>usa</td> <td>montana</td> </tr> <tr> <th>235</th> <td>omaha</td> <td>314255</td> <td>usa</td> <td>nebraska</td> </tr> <tr> <th>236</th> <td>lincoln</td> <td>171932</td> <td>usa</td> <td>nebraska</td> </tr> <tr> <th>237</th> <td>las vegas</td> <td>164674</td> <td>usa</td> <td>nevada</td> </tr> <tr> <th>238</th> <td>reno</td> <td>100756</td> <td>usa</td> <td>nevada</td> </tr> <tr> <th>239</th> <td>manchester</td> <td>90936</td> <td>usa</td> <td>new hampshire</td> </tr> <tr> <th>240</th> <td>nashua</td> <td>67865</td> <td>usa</td> <td>new hampshire</td> </tr> <tr> <th>241</th> <td>newark</td> <td>329248</td> <td>usa</td> <td>new jersey</td> </tr> <tr> <th>242</th> <td>jersey city</td> <td>223532</td> <td>usa</td> <td>new jersey</td> </tr> <tr> <th>243</th> <td>paterson</td> <td>137970</td> <td>usa</td> <td>new jersey</td> </tr> <tr> <th>244</th> <td>elizabeth</td> <td>106201</td> <td>usa</td> <td>new jersey</td> </tr> <tr> <th>245</th> <td>trenton</td> <td>92124</td> <td>usa</td> <td>new jersey</td> </tr> <tr> <th>246</th> <td>woodbridge</td> <td>90074</td> <td>usa</td> <td>new jersey</td> </tr> <tr> <th>247</th> <td>camden</td> <td>84910</td> <td>usa</td> <td>new jersey</td> </tr> <tr> <th>248</th> <td>east orange</td> <td>77878</td> <td>usa</td> <td>new jersey</td> </tr> <tr> <th>249</th> <td>clifton</td> <td>74388</td> <td>usa</td> <td>new jersey</td> </tr> <tr> <th>250</th> <td>edison</td> <td>70193</td> <td>usa</td> <td>new jersey</td> </tr> <tr> <th>251</th> <td>cherry hill</td> <td>68785</td> <td>usa</td> <td>new jersey</td> </tr> <tr> <th>252</th> <td>bayonne</td> <td>65047</td> <td>usa</td> <td>new jersey</td> </tr> <tr> <th>253</th> <td>middletown</td> <td>61615</td> <td>usa</td> <td>new jersey</td> </tr> <tr> <th>254</th> <td>irvington</td> <td>61493</td> <td>usa</td> <td>new jersey</td> </tr> <tr> <th>255</th> <td>albuquerque</td> <td>331767</td> <td>usa</td> <td>new mexico</td> </tr> <tr> <th>256</th> <td>new york</td> <td>7071639</td> <td>usa</td> <td>new york</td> </tr> <tr> <th>257</th> <td>buffalo</td> <td>357870</td> <td>usa</td> <td>new york</td> </tr> <tr> <th>258</th> <td>rochester</td> <td>241741</td> <td>usa</td> <td>new york</td> </tr> <tr> <th>259</th> <td>yonkers</td> <td>195351</td> <td>usa</td> <td>new york</td> </tr> <tr> <th>260</th> <td>syracuse</td> <td>170105</td> <td>usa</td> <td>new york</td> </tr> <tr> <th>261</th> <td>albany</td> <td>101727</td> <td>usa</td> <td>new york</td> </tr> <tr> <th>262</th> <td>cheektowaga</td> <td>92145</td> <td>usa</td> <td>new york</td> </tr> <tr> <th>263</th> <td>utica</td> <td>75632</td> <td>usa</td> <td>new york</td> </tr> <tr> <th>264</th> <td>niagara falls</td> <td>71384</td> <td>usa</td> <td>new york</td> </tr> <tr> <th>265</th> <td>new rochelle</td> <td>70794</td> <td>usa</td> <td>new york</td> </tr> <tr> <th>266</th> <td>schenectady</td> <td>67972</td> <td>usa</td> <td>new york</td> </tr> <tr> <th>267</th> <td>mount vernon</td> <td>66713</td> <td>usa</td> <td>new york</td> </tr> <tr> <th>268</th> <td>irondequoit</td> <td>57648</td> <td>usa</td> <td>new york</td> </tr> <tr> <th>269</th> <td>levittown</td> <td>57045</td> <td>usa</td> <td>new york</td> </tr> <tr> <th>270</th> <td>charlotte</td> <td>314447</td> <td>usa</td> <td>north carolina</td> </tr> <tr> <th>271</th> <td>greensboro</td> <td>155642</td> <td>usa</td> <td>north carolina</td> </tr> <tr> <th>272</th> <td>raleigh</td> <td>149771</td> <td>usa</td> <td>north carolina</td> </tr> <tr> <th>273</th> <td>winston-salem</td> <td>131885</td> <td>usa</td> <td>north carolina</td> </tr> <tr> <th>274</th> <td>durham</td> <td>100538</td> <td>usa</td> <td>north carolina</td> </tr> <tr> <th>275</th> <td>high point</td> <td>64107</td> <td>usa</td> <td>north carolina</td> </tr> <tr> <th>276</th> <td>fayetteville</td> <td>59507</td> <td>usa</td> <td>north carolina</td> </tr> <tr> <th>277</th> <td>fargo</td> <td>61308</td> <td>usa</td> <td>north dakota</td> </tr> <tr> <th>278</th> <td>cleveland</td> <td>573822</td> <td>usa</td> <td>ohio</td> </tr> <tr> <th>279</th> <td>columbus</td> <td>564871</td> <td>usa</td> <td>ohio</td> </tr> <tr> <th>280</th> <td>cincinnati</td> <td>385457</td> <td>usa</td> <td>ohio</td> </tr> <tr> <th>281</th> <td>toledo</td> <td>354635</td> <td>usa</td> <td>ohio</td> </tr> <tr> <th>282</th> <td>akron</td> <td>237177</td> <td>usa</td> <td>ohio</td> </tr> <tr> <th>283</th> <td>dayton</td> <td>203371</td> <td>usa</td> <td>ohio</td> </tr> <tr> <th>284</th> <td>youngstown</td> <td>115436</td> <td>usa</td> <td>ohio</td> </tr> <tr> <th>285</th> <td>canton</td> <td>93077</td> <td>usa</td> <td>ohio</td> </tr> <tr> <th>286</th> <td>parma</td> <td>92548</td> <td>usa</td> <td>ohio</td> </tr> <tr> <th>287</th> <td>lorain</td> <td>75416</td> <td>usa</td> <td>ohio</td> </tr> <tr> <th>288</th> <td>springfield</td> <td>72563</td> <td>usa</td> <td>ohio</td> </tr> <tr> <th>289</th> <td>hamilton</td> <td>63189</td> <td>usa</td> <td>ohio</td> </tr> <tr> <th>290</th> <td>lakewood</td> <td>61963</td> <td>usa</td> <td>ohio</td> </tr> <tr> <th>291</th> <td>kettering</td> <td>61186</td> <td>usa</td> <td>ohio</td> </tr> <tr> <th>292</th> <td>euclid</td> <td>59999</td> <td>usa</td> <td>ohio</td> </tr> <tr> <th>293</th> <td>elyria</td> <td>57504</td> <td>usa</td> <td>ohio</td> </tr> <tr> <th>294</th> <td>oklahoma city</td> <td>403213</td> <td>usa</td> <td>oklahoma</td> </tr> <tr> <th>295</th> <td>tulsa</td> <td>360919</td> <td>usa</td> <td>oklahoma</td> </tr> <tr> <th>296</th> <td>lawton</td> <td>80054</td> <td>usa</td> <td>oklahoma</td> </tr> <tr> <th>297</th> <td>norman</td> <td>68020</td> <td>usa</td> <td>oklahoma</td> </tr> <tr> <th>298</th> <td>portland</td> <td>366383</td> <td>usa</td> <td>oregon</td> </tr> <tr> <th>299</th> <td>eugene</td> <td>105664</td> <td>usa</td> <td>oregon</td> </tr> <tr> <th>300</th> <td>salem</td> <td>89233</td> <td>usa</td> <td>oregon</td> </tr> <tr> <th>301</th> <td>philadelphia</td> <td>1688210</td> <td>usa</td> <td>pennsylvania</td> </tr> <tr> <th>302</th> <td>pittsburgh</td> <td>423938</td> <td>usa</td> <td>pennsylvania</td> </tr> <tr> <th>303</th> <td>erie</td> <td>119123</td> <td>usa</td> <td>pennsylvania</td> </tr> <tr> <th>304</th> <td>allentown</td> <td>103758</td> <td>usa</td> <td>pennsylvania</td> </tr> <tr> <th>305</th> <td>scranton</td> <td>88117</td> <td>usa</td> <td>pennsylvania</td> </tr> <tr> <th>306</th> <td>upper darby</td> <td>84054</td> <td>usa</td> <td>pennsylvania</td> </tr> <tr> <th>307</th> <td>reading</td> <td>78686</td> <td>usa</td> <td>pennsylvania</td> </tr> <tr> <th>308</th> <td>bethlehem</td> <td>70419</td> <td>usa</td> <td>pennsylvania</td> </tr> <tr> <th>309</th> <td>lower merion</td> <td>59651</td> <td>usa</td> <td>pennsylvania</td> </tr> <tr> <th>310</th> <td>abingdon</td> <td>59084</td> <td>usa</td> <td>pennsylvania</td> </tr> <tr> <th>311</th> <td>bristol township</td> <td>58733</td> <td>usa</td> <td>pennsylvania</td> </tr> <tr> <th>312</th> <td>penn hills</td> <td>57632</td> <td>usa</td> <td>pennsylvania</td> </tr> <tr> <th>313</th> <td>altoona</td> <td>57078</td> <td>usa</td> <td>pennsylvania</td> </tr> <tr> <th>314</th> <td>providence</td> <td>156804</td> <td>usa</td> <td>rhode island</td> </tr> <tr> <th>315</th> <td>warwick</td> <td>87123</td> <td>usa</td> <td>rhode island</td> </tr> <tr> <th>316</th> <td>cranston</td> <td>71992</td> <td>usa</td> <td>rhode island</td> </tr> <tr> <th>317</th> <td>pawtucket</td> <td>71204</td> <td>usa</td> <td>rhode island</td> </tr> <tr> <th>318</th> <td>columbia</td> <td>101229</td> <td>usa</td> <td>south carolina</td> </tr> <tr> <th>319</th> <td>charleston</td> <td>69855</td> <td>usa</td> <td>south carolina</td> </tr> <tr> <th>320</th> <td>north charleston</td> <td>62504</td> <td>usa</td> <td>south carolina</td> </tr> <tr> <th>321</th> <td>greenville</td> <td>58242</td> <td>usa</td> <td>south carolina</td> </tr> <tr> <th>322</th> <td>sioux falls</td> <td>81343</td> <td>usa</td> <td>south dakota</td> </tr> <tr> <th>323</th> <td>memphis</td> <td>646356</td> <td>usa</td> <td>tennessee</td> </tr> <tr> <th>324</th> <td>nashville</td> <td>455651</td> <td>usa</td> <td>tennessee</td> </tr> <tr> <th>325</th> <td>knoxville</td> <td>175030</td> <td>usa</td> <td>tennessee</td> </tr> <tr> <th>326</th> <td>chattanooga</td> <td>169728</td> <td>usa</td> <td>tennessee</td> </tr> <tr> <th>327</th> <td>houston</td> <td>1595138</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>328</th> <td>dallas</td> <td>904078</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>329</th> <td>san antonio</td> <td>785880</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>330</th> <td>el paso</td> <td>425259</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>331</th> <td>fort worth</td> <td>385164</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>332</th> <td>austin</td> <td>345496</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>333</th> <td>corpus christi</td> <td>231999</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>334</th> <td>lubbock</td> <td>173979</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>335</th> <td>arlington</td> <td>160123</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>336</th> <td>amarillo</td> <td>149230</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>337</th> <td>garland</td> <td>138857</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>338</th> <td>beaumont</td> <td>118102</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>339</th> <td>pasadena</td> <td>112560</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>340</th> <td>irving</td> <td>109943</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>341</th> <td>waco</td> <td>101261</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>342</th> <td>abilene</td> <td>98315</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>343</th> <td>wichita falls</td> <td>94201</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>344</th> <td>laredo</td> <td>91449</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>345</th> <td>odessa</td> <td>90027</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>346</th> <td>brownsville</td> <td>84997</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>347</th> <td>san angelo</td> <td>73240</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>348</th> <td>richardson</td> <td>72496</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>349</th> <td>plano</td> <td>72331</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>350</th> <td>grand prairie</td> <td>71462</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>351</th> <td>midland</td> <td>70525</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>352</th> <td>tyler</td> <td>70508</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>353</th> <td>mesquite</td> <td>67053</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>354</th> <td>mcallen</td> <td>67042</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>355</th> <td>longview</td> <td>62762</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>356</th> <td>port arthur</td> <td>61195</td> <td>usa</td> <td>texas</td> </tr> <tr> <th>357</th> <td>salt lake city</td> <td>163034</td> <td>usa</td> <td>utah</td> </tr> <tr> <th>358</th> <td>provo</td> <td>74111</td> <td>usa</td> <td>utah</td> </tr> <tr> <th>359</th> <td>west valley</td> <td>72299</td> <td>usa</td> <td>utah</td> </tr> <tr> <th>360</th> <td>ogden</td> <td>64407</td> <td>usa</td> <td>utah</td> </tr> <tr> <th>361</th> <td>norfolk</td> <td>266979</td> <td>usa</td> <td>virginia</td> </tr> <tr> <th>362</th> <td>virginia beach</td> <td>262199</td> <td>usa</td> <td>virginia</td> </tr> <tr> <th>363</th> <td>richmond</td> <td>219214</td> <td>usa</td> <td>virginia</td> </tr> <tr> <th>364</th> <td>arlington</td> <td>152599</td> <td>usa</td> <td>virginia</td> </tr> <tr> <th>365</th> <td>newport news</td> <td>144903</td> <td>usa</td> <td>virginia</td> </tr> <tr> <th>366</th> <td>hampton</td> <td>122617</td> <td>usa</td> <td>virginia</td> </tr> <tr> <th>367</th> <td>chesapeake</td> <td>114226</td> <td>usa</td> <td>virginia</td> </tr> <tr> <th>368</th> <td>portsmouth</td> <td>104577</td> <td>usa</td> <td>virginia</td> </tr> <tr> <th>369</th> <td>alexandria</td> <td>103217</td> <td>usa</td> <td>virginia</td> </tr> <tr> <th>370</th> <td>roanoke</td> <td>100427</td> <td>usa</td> <td>virginia</td> </tr> <tr> <th>371</th> <td>lynchburg</td> <td>66743</td> <td>usa</td> <td>virginia</td> </tr> <tr> <th>372</th> <td>seattle</td> <td>493846</td> <td>usa</td> <td>washington</td> </tr> <tr> <th>373</th> <td>spokane</td> <td>171300</td> <td>usa</td> <td>washington</td> </tr> <tr> <th>374</th> <td>tacoma</td> <td>158501</td> <td>usa</td> <td>washington</td> </tr> <tr> <th>375</th> <td>bellevue</td> <td>73903</td> <td>usa</td> <td>washington</td> </tr> <tr> <th>376</th> <td>charleston</td> <td>63968</td> <td>usa</td> <td>west virginia</td> </tr> <tr> <th>377</th> <td>huntington</td> <td>63684</td> <td>usa</td> <td>west virginia</td> </tr> <tr> <th>378</th> <td>milwaukee</td> <td>636212</td> <td>usa</td> <td>wisconsin</td> </tr> <tr> <th>379</th> <td>madison</td> <td>170616</td> <td>usa</td> <td>wisconsin</td> </tr> <tr> <th>380</th> <td>green bay</td> <td>87899</td> <td>usa</td> <td>wisconsin</td> </tr> <tr> <th>381</th> <td>racine</td> <td>85725</td> <td>usa</td> <td>wisconsin</td> </tr> <tr> <th>382</th> <td>kenosha</td> <td>77685</td> <td>usa</td> <td>wisconsin</td> </tr> <tr> <th>383</th> <td>west allis</td> <td>63982</td> <td>usa</td> <td>wisconsin</td> </tr> <tr> <th>384</th> <td>appleton</td> <td>58913</td> <td>usa</td> <td>wisconsin</td> </tr> <tr> <th>385</th> <td>casper</td> <td>51016</td> <td>usa</td> <td>wyoming</td> </tr> </tbody> </table>
<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>city_name</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>omaha</td> </tr> </tbody> </table>
what is the biggest city in nebraska <table_name> : city | | city_name | population | country_name | state_name | |----:|:------------------|-------------:|:---------------|:---------------------| | 0 | birmingham | 284413 | usa | alabama | | 1 | mobile | 200452 | usa | alabama | | 2 | montgomery | 177857 | usa | alabama | | 3 | huntsville | 142513 | usa | alabama | | 4 | tuscaloosa | 75143 | usa | alabama | | 5 | anchorage | 174431 | usa | alaska | | 6 | phoenix | 789704 | usa | arizona | | 7 | tucson | 330537 | usa | arizona | | 8 | mesa | 152453 | usa | arizona | | 9 | tempe | 106919 | usa | arizona | | 10 | glendale | 96988 | usa | arizona | | 11 | scottsdale | 88622 | usa | arizona | | 12 | little rock | 158915 | usa | arkansas | | 13 | fort smith | 71384 | usa | arkansas | | 14 | north little rock | 64388 | usa | arkansas | | 15 | los angeles | 2966850 | usa | california | | 16 | san diego | 875538 | usa | california | | 17 | san francisco | 678974 | usa | california | | 18 | san jose | 629442 | usa | california | | 19 | long beach | 361334 | usa | california | | 20 | oakland | 339337 | usa | california | | 21 | sacramento | 275741 | usa | california | | 22 | anaheim | 219311 | usa | california | | 23 | fresno | 218202 | usa | california | | 24 | santa ana | 203713 | usa | california | | 25 | riverside | 170876 | usa | california | | 26 | huntington beach | 170505 | usa | california | | 27 | stockton | 149779 | usa | california | | 28 | glendale | 139060 | usa | california | | 29 | fremont | 131945 | usa | california | | 30 | torrance | 131497 | usa | california | | 31 | garden grove | 123351 | usa | california | | 32 | san bernardino | 118794 | usa | california | | 33 | pasadena | 118072 | usa | california | | 34 | east los angeles | 110017 | usa | california | | 35 | oxnard | 108195 | usa | california | | 36 | modesto | 106963 | usa | california | | 37 | sunnyvale | 106618 | usa | california | | 38 | bakersfield | 105611 | usa | california | | 39 | concord | 103763 | usa | california | | 40 | berkeley | 103328 | usa | california | | 41 | fullerton | 102246 | usa | california | | 42 | inglewood | 94162 | usa | california | | 43 | hayward | 93585 | usa | california | | 44 | pomona | 92742 | usa | california | | 45 | orange | 91450 | usa | california | | 46 | ontario | 88820 | usa | california | | 47 | santa monica | 88314 | usa | california | | 48 | santa clara | 87700 | usa | california | | 49 | citrus heights | 85911 | usa | california | | 50 | norwalk | 84901 | usa | california | | 51 | burbank | 84625 | usa | california | | 52 | chula vista | 83927 | usa | california | | 53 | santa rosa | 83205 | usa | california | | 54 | downey | 82602 | usa | california | | 55 | costa mesa | 82291 | usa | california | | 56 | compton | 81230 | usa | california | | 57 | carson | 81221 | usa | california | | 58 | salinas | 80479 | usa | california | | 59 | west covina | 80292 | usa | california | | 60 | vallejo | 80188 | usa | california | | 61 | el monte | 79494 | usa | california | | 62 | daly city | 78519 | usa | california | | 63 | thousand oaks | 77797 | usa | california | | 64 | san mateo | 77640 | usa | california | | 65 | simi valley | 77500 | usa | california | | 66 | oceanside | 76698 | usa | california | | 67 | richmond | 74676 | usa | california | | 68 | lakewood | 74654 | usa | california | | 69 | santa barbara | 74542 | usa | california | | 70 | el cajon | 73892 | usa | california | | 71 | ventura | 73774 | usa | california | | 72 | westminster | 71133 | usa | california | | 73 | whittier | 68558 | usa | california | | 74 | south gate | 66784 | usa | california | | 75 | alhambra | 64767 | usa | california | | 76 | buena park | 64165 | usa | california | | 77 | san leandro | 63952 | usa | california | | 78 | alameda | 63852 | usa | california | | 79 | newport beach | 63475 | usa | california | | 80 | escondido | 62480 | usa | california | | 81 | irvine | 62134 | usa | california | | 82 | mountain view | 58655 | usa | california | | 83 | fairfield | 58099 | usa | california | | 84 | redondo beach | 57102 | usa | california | | 85 | scotts valley | 6037 | usa | california | | 86 | denver | 492365 | usa | colorado | | 87 | colorado springs | 215150 | usa | colorado | | 88 | aurora | 158588 | usa | colorado | | 89 | lakewood | 113808 | usa | colorado | | 90 | pueblo | 101686 | usa | colorado | | 91 | arvada | 84576 | usa | colorado | | 92 | boulder | 76685 | usa | colorado | | 93 | fort collins | 64632 | usa | colorado | | 94 | bridgeport | 142546 | usa | connecticut | | 95 | hartford | 136392 | usa | connecticut | | 96 | new haven | 126089 | usa | connecticut | | 97 | waterbury | 103266 | usa | connecticut | | 98 | stamford | 102466 | usa | connecticut | | 99 | norwalk | 77767 | usa | connecticut | | 100 | new britain | 73840 | usa | connecticut | | 101 | west hartford | 61301 | usa | connecticut | | 102 | danbury | 60470 | usa | connecticut | | 103 | greenwich | 59578 | usa | connecticut | | 104 | bristol | 57370 | usa | connecticut | | 105 | meriden | 57118 | usa | connecticut | | 106 | wilmington | 70195 | usa | delaware | | 107 | washington | 638333 | usa | district of columbia | | 108 | jacksonville | 540920 | usa | florida | | 109 | miami | 346865 | usa | florida | | 110 | tampa | 271523 | usa | florida | | 111 | st. petersburg | 238647 | usa | florida | | 112 | fort lauderdale | 153256 | usa | florida | | 113 | orlando | 128394 | usa | florida | | 114 | hollywood | 117188 | usa | florida | | 115 | miami beach | 96298 | usa | florida | | 116 | clearwater | 85450 | usa | florida | | 117 | tallahassee | 81548 | usa | florida | | 118 | gainesville | 81371 | usa | florida | | 119 | kendall | 73758 | usa | florida | | 120 | west palm beach | 62530 | usa | florida | | 121 | largo | 58977 | usa | florida | | 122 | pensacola | 57619 | usa | florida | | 123 | atlanta | 425022 | usa | georgia | | 124 | columbus | 169441 | usa | georgia | | 125 | savannah | 141654 | usa | georgia | | 126 | macon | 116860 | usa | georgia | | 127 | albany | 74425 | usa | georgia | | 128 | honolulu | 762874 | usa | hawaii | | 129 | ewa | 190037 | usa | hawaii | | 130 | koolaupoko | 109373 | usa | hawaii | | 131 | boise | 102249 | usa | idaho | | 132 | chicago | 3005172 | usa | illinois | | 133 | rockford | 139712 | usa | illinois | | 134 | peoria | 124160 | usa | illinois | | 135 | springfield | 100054 | usa | illinois | | 136 | decatur | 93939 | usa | illinois | | 137 | aurora | 81293 | usa | illinois | | 138 | joliet | 77956 | usa | illinois | | 139 | evanston | 73706 | usa | illinois | | 140 | waukegan | 67653 | usa | illinois | | 141 | arlington heights | 66116 | usa | illinois | | 142 | elgin | 63668 | usa | illinois | | 143 | cicero | 61232 | usa | illinois | | 144 | oak lawn | 60590 | usa | illinois | | 145 | skokie | 60278 | usa | illinois | | 146 | champaign | 58267 | usa | illinois | | 147 | indianapolis | 700807 | usa | indiana | | 148 | fort wayne | 172196 | usa | indiana | | 149 | gary | 151968 | usa | indiana | | 150 | evansville | 130496 | usa | indiana | | 151 | south bend | 109727 | usa | indiana | | 152 | hammond | 93714 | usa | indiana | | 153 | muncie | 77216 | usa | indiana | | 154 | anderson | 64695 | usa | indiana | | 155 | terre haute | 61125 | usa | indiana | | 156 | des moines | 191003 | usa | iowa | | 157 | cedar rapids | 110243 | usa | iowa | | 158 | davenport | 103254 | usa | iowa | | 159 | sioux city | 82003 | usa | iowa | | 160 | waterloo | 75985 | usa | iowa | | 161 | dubuque | 62321 | usa | iowa | | 162 | wichita | 279212 | usa | kansas | | 163 | kansas city | 161148 | usa | kansas | | 164 | topeka | 118690 | usa | kansas | | 165 | overland park | 81784 | usa | kansas | | 166 | louisville | 298451 | usa | kentucky | | 167 | lexington | 204165 | usa | kentucky | | 168 | new orleans | 557515 | usa | louisiana | | 169 | baton rouge | 219419 | usa | louisiana | | 170 | shreveport | 205820 | usa | louisiana | | 171 | metairie | 164160 | usa | louisiana | | 172 | lafayette | 80584 | usa | louisiana | | 173 | lake charles | 75051 | usa | louisiana | | 174 | kenner | 66382 | usa | louisiana | | 175 | monroe | 57597 | usa | louisiana | | 176 | portland | 61572 | usa | maine | | 177 | baltimore | 786775 | usa | maryland | | 178 | silver spring | 72893 | usa | maryland | | 179 | dundalk | 71293 | usa | maryland | | 180 | bethesda | 63022 | usa | maryland | | 181 | boston | 562994 | usa | massachusetts | | 182 | worcester | 161799 | usa | massachusetts | | 183 | springfield | 152319 | usa | massachusetts | | 184 | new bedford | 98478 | usa | massachusetts | | 185 | cambridge | 95322 | usa | massachusetts | | 186 | brockton | 95172 | usa | massachusetts | | 187 | fall river | 92574 | usa | massachusetts | | 188 | lowell | 92418 | usa | massachusetts | | 189 | quincy | 84743 | usa | massachusetts | | 190 | newton | 83622 | usa | massachusetts | | 191 | lynn | 78471 | usa | massachusetts | | 192 | somerville | 77372 | usa | massachusetts | | 193 | framingham | 65113 | usa | massachusetts | | 194 | lawrence | 63175 | usa | massachusetts | | 195 | waltham | 58200 | usa | massachusetts | | 196 | medford | 58076 | usa | massachusetts | | 197 | detroit | 1203339 | usa | michigan | | 198 | grand rapids | 181843 | usa | michigan | | 199 | warren | 161134 | usa | michigan | | 200 | flint | 159611 | usa | michigan | | 201 | lansing | 130414 | usa | michigan | | 202 | sterling heights | 108999 | usa | michigan | | 203 | ann arbor | 107969 | usa | michigan | | 204 | livonia | 104814 | usa | michigan | | 205 | dearborn | 90660 | usa | michigan | | 206 | westland | 84603 | usa | michigan | | 207 | kalamazoo | 79722 | usa | michigan | | 208 | taylor | 77568 | usa | michigan | | 209 | saginaw | 77508 | usa | michigan | | 210 | pontiac | 76715 | usa | michigan | | 211 | st. clair shores | 76210 | usa | michigan | | 212 | southfield | 75568 | usa | michigan | | 213 | clinton | 72400 | usa | michigan | | 214 | royal oak | 70893 | usa | michigan | | 215 | dearborn heights | 67706 | usa | michigan | | 216 | troy | 67102 | usa | michigan | | 217 | waterford | 64250 | usa | michigan | | 218 | wyoming | 59616 | usa | michigan | | 219 | redford | 58441 | usa | michigan | | 220 | farmington hills | 58056 | usa | michigan | | 221 | minneapolis | 370951 | usa | minnesota | | 222 | st. paul | 270230 | usa | minnesota | | 223 | duluth | 92811 | usa | minnesota | | 224 | bloomington | 81831 | usa | minnesota | | 225 | rochester | 57906 | usa | minnesota | | 226 | jackson | 202895 | usa | mississippi | | 227 | st. louis | 453085 | usa | missouri | | 228 | kansas city | 448159 | usa | missouri | | 229 | springfield | 133116 | usa | missouri | | 230 | independence | 111797 | usa | missouri | | 231 | st. joseph | 76691 | usa | missouri | | 232 | columbia | 62061 | usa | missouri | | 233 | billings | 66842 | usa | montana | | 234 | great falls | 56725 | usa | montana | | 235 | omaha | 314255 | usa | nebraska | | 236 | lincoln | 171932 | usa | nebraska | | 237 | las vegas | 164674 | usa | nevada | | 238 | reno | 100756 | usa | nevada | | 239 | manchester | 90936 | usa | new hampshire | | 240 | nashua | 67865 | usa | new hampshire | | 241 | newark | 329248 | usa | new jersey | | 242 | jersey city | 223532 | usa | new jersey | | 243 | paterson | 137970 | usa | new jersey | | 244 | elizabeth | 106201 | usa | new jersey | | 245 | trenton | 92124 | usa | new jersey | | 246 | woodbridge | 90074 | usa | new jersey | | 247 | camden | 84910 | usa | new jersey | | 248 | east orange | 77878 | usa | new jersey | | 249 | clifton | 74388 | usa | new jersey | | 250 | edison | 70193 | usa | new jersey | | 251 | cherry hill | 68785 | usa | new jersey | | 252 | bayonne | 65047 | usa | new jersey | | 253 | middletown | 61615 | usa | new jersey | | 254 | irvington | 61493 | usa | new jersey | | 255 | albuquerque | 331767 | usa | new mexico | | 256 | new york | 7071639 | usa | new york | | 257 | buffalo | 357870 | usa | new york | | 258 | rochester | 241741 | usa | new york | | 259 | yonkers | 195351 | usa | new york | | 260 | syracuse | 170105 | usa | new york | | 261 | albany | 101727 | usa | new york | | 262 | cheektowaga | 92145 | usa | new york | | 263 | utica | 75632 | usa | new york | | 264 | niagara falls | 71384 | usa | new york | | 265 | new rochelle | 70794 | usa | new york | | 266 | schenectady | 67972 | usa | new york | | 267 | mount vernon | 66713 | usa | new york | | 268 | irondequoit | 57648 | usa | new york | | 269 | levittown | 57045 | usa | new york | | 270 | charlotte | 314447 | usa | north carolina | | 271 | greensboro | 155642 | usa | north carolina | | 272 | raleigh | 149771 | usa | north carolina | | 273 | winston-salem | 131885 | usa | north carolina | | 274 | durham | 100538 | usa | north carolina | | 275 | high point | 64107 | usa | north carolina | | 276 | fayetteville | 59507 | usa | north carolina | | 277 | fargo | 61308 | usa | north dakota | | 278 | cleveland | 573822 | usa | ohio | | 279 | columbus | 564871 | usa | ohio | | 280 | cincinnati | 385457 | usa | ohio | | 281 | toledo | 354635 | usa | ohio | | 282 | akron | 237177 | usa | ohio | | 283 | dayton | 203371 | usa | ohio | | 284 | youngstown | 115436 | usa | ohio | | 285 | canton | 93077 | usa | ohio | | 286 | parma | 92548 | usa | ohio | | 287 | lorain | 75416 | usa | ohio | | 288 | springfield | 72563 | usa | ohio | | 289 | hamilton | 63189 | usa | ohio | | 290 | lakewood | 61963 | usa | ohio | | 291 | kettering | 61186 | usa | ohio | | 292 | euclid | 59999 | usa | ohio | | 293 | elyria | 57504 | usa | ohio | | 294 | oklahoma city | 403213 | usa | oklahoma | | 295 | tulsa | 360919 | usa | oklahoma | | 296 | lawton | 80054 | usa | oklahoma | | 297 | norman | 68020 | usa | oklahoma | | 298 | portland | 366383 | usa | oregon | | 299 | eugene | 105664 | usa | oregon | | 300 | salem | 89233 | usa | oregon | | 301 | philadelphia | 1688210 | usa | pennsylvania | | 302 | pittsburgh | 423938 | usa | pennsylvania | | 303 | erie | 119123 | usa | pennsylvania | | 304 | allentown | 103758 | usa | pennsylvania | | 305 | scranton | 88117 | usa | pennsylvania | | 306 | upper darby | 84054 | usa | pennsylvania | | 307 | reading | 78686 | usa | pennsylvania | | 308 | bethlehem | 70419 | usa | pennsylvania | | 309 | lower merion | 59651 | usa | pennsylvania | | 310 | abingdon | 59084 | usa | pennsylvania | | 311 | bristol township | 58733 | usa | pennsylvania | | 312 | penn hills | 57632 | usa | pennsylvania | | 313 | altoona | 57078 | usa | pennsylvania | | 314 | providence | 156804 | usa | rhode island | | 315 | warwick | 87123 | usa | rhode island | | 316 | cranston | 71992 | usa | rhode island | | 317 | pawtucket | 71204 | usa | rhode island | | 318 | columbia | 101229 | usa | south carolina | | 319 | charleston | 69855 | usa | south carolina | | 320 | north charleston | 62504 | usa | south carolina | | 321 | greenville | 58242 | usa | south carolina | | 322 | sioux falls | 81343 | usa | south dakota | | 323 | memphis | 646356 | usa | tennessee | | 324 | nashville | 455651 | usa | tennessee | | 325 | knoxville | 175030 | usa | tennessee | | 326 | chattanooga | 169728 | usa | tennessee | | 327 | houston | 1595138 | usa | texas | | 328 | dallas | 904078 | usa | texas | | 329 | san antonio | 785880 | usa | texas | | 330 | el paso | 425259 | usa | texas | | 331 | fort worth | 385164 | usa | texas | | 332 | austin | 345496 | usa | texas | | 333 | corpus christi | 231999 | usa | texas | | 334 | lubbock | 173979 | usa | texas | | 335 | arlington | 160123 | usa | texas | | 336 | amarillo | 149230 | usa | texas | | 337 | garland | 138857 | usa | texas | | 338 | beaumont | 118102 | usa | texas | | 339 | pasadena | 112560 | usa | texas | | 340 | irving | 109943 | usa | texas | | 341 | waco | 101261 | usa | texas | | 342 | abilene | 98315 | usa | texas | | 343 | wichita falls | 94201 | usa | texas | | 344 | laredo | 91449 | usa | texas | | 345 | odessa | 90027 | usa | texas | | 346 | brownsville | 84997 | usa | texas | | 347 | san angelo | 73240 | usa | texas | | 348 | richardson | 72496 | usa | texas | | 349 | plano | 72331 | usa | texas | | 350 | grand prairie | 71462 | usa | texas | | 351 | midland | 70525 | usa | texas | | 352 | tyler | 70508 | usa | texas | | 353 | mesquite | 67053 | usa | texas | | 354 | mcallen | 67042 | usa | texas | | 355 | longview | 62762 | usa | texas | | 356 | port arthur | 61195 | usa | texas | | 357 | salt lake city | 163034 | usa | utah | | 358 | provo | 74111 | usa | utah | | 359 | west valley | 72299 | usa | utah | | 360 | ogden | 64407 | usa | utah | | 361 | norfolk | 266979 | usa | virginia | | 362 | virginia beach | 262199 | usa | virginia | | 363 | richmond | 219214 | usa | virginia | | 364 | arlington | 152599 | usa | virginia | | 365 | newport news | 144903 | usa | virginia | | 366 | hampton | 122617 | usa | virginia | | 367 | chesapeake | 114226 | usa | virginia | | 368 | portsmouth | 104577 | usa | virginia | | 369 | alexandria | 103217 | usa | virginia | | 370 | roanoke | 100427 | usa | virginia | | 371 | lynchburg | 66743 | usa | virginia | | 372 | seattle | 493846 | usa | washington | | 373 | spokane | 171300 | usa | washington | | 374 | tacoma | 158501 | usa | washington | | 375 | bellevue | 73903 | usa | washington | | 376 | charleston | 63968 | usa | west virginia | | 377 | huntington | 63684 | usa | west virginia | | 378 | milwaukee | 636212 | usa | wisconsin | | 379 | madison | 170616 | usa | wisconsin | | 380 | green bay | 87899 | usa | wisconsin | | 381 | racine | 85725 | usa | wisconsin | | 382 | kenosha | 77685 | usa | wisconsin | | 383 | west allis | 63982 | usa | wisconsin | | 384 | appleton | 58913 | usa | wisconsin | | 385 | casper | 51016 | usa | wyoming |
| | city_name | |---:|:------------| | 0 | omaha |
how many people live in chicago
{"columns":["population"],"index":[0],"data":[[3005172]]}
[ "city" ]
["{\"columns\":[\"city_name\",\"population\",\"country_name\",\"state_name\"],\"index\":[0,1,2,3,4,5(...TRUNCATED)
"how many people live in chicago <table_name> : city col : city_name | population | country_name | s(...TRUNCATED)
col : population row 1 : 3005172
"how many people live in chicago <table_name> : city \\begin{tabular}{lllll}\n\\toprule\n & city_nam(...TRUNCATED)
"\\begin{tabular}{ll}\n\\toprule\n & population \\\\\n\\midrule\n0 & 3005172 \\\\\n\\bottomrule\n\\e(...TRUNCATED)
"how many people live in chicago <table_name> : city <table border=\"1\" class=\"dataframe\">\n <th(...TRUNCATED)
"<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <(...TRUNCATED)
"how many people live in chicago <table_name> : city | | city_name | population | coun(...TRUNCATED)
| | population | |---:|-------------:| | 0 | 3005172 |
how many people live in new mexico
{"columns":["population"],"index":[0],"data":[[1303000]]}
[ "state" ]
["{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"i(...TRUNCATED)
"how many people live in new mexico <table_name> : state col : state_name | population | area | coun(...TRUNCATED)
col : population row 1 : 1303000
"how many people live in new mexico <table_name> : state \\begin{tabular}{lllllll}\n\\toprule\n & st(...TRUNCATED)
"\\begin{tabular}{ll}\n\\toprule\n & population \\\\\n\\midrule\n0 & 1303000 \\\\\n\\bottomrule\n\\e(...TRUNCATED)
"how many people live in new mexico <table_name> : state <table border=\"1\" class=\"dataframe\">\n (...TRUNCATED)
"<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <(...TRUNCATED)
"how many people live in new mexico <table_name> : state | | state_name | population (...TRUNCATED)
| | population | |---:|-------------:| | 0 | 1303000 |
what are the major cities in texas
"{\"columns\":[\"city_name\"],\"index\":[0,1,2,3,4,5,6,7,8],\"data\":[[\"houston\"],[\"dallas\"],[\"(...TRUNCATED)
[ "city" ]
["{\"columns\":[\"city_name\",\"population\",\"country_name\",\"state_name\"],\"index\":[0,1,2,3,4,5(...TRUNCATED)
"what are the major cities in texas <table_name> : city col : city_name | population | country_name (...TRUNCATED)
"col : city_name row 1 : houston row 2 : dallas row 3 : san antonio row 4 : el paso row 5 : fort wor(...TRUNCATED)
"what are the major cities in texas <table_name> : city \\begin{tabular}{lllll}\n\\toprule\n & city_(...TRUNCATED)
"\\begin{tabular}{ll}\n\\toprule\n & city_name \\\\\n\\midrule\n0 & houston \\\\\n1 & dallas \\\\\n2(...TRUNCATED)
"what are the major cities in texas <table_name> : city <table border=\"1\" class=\"dataframe\">\n (...TRUNCATED)
"<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <(...TRUNCATED)
"what are the major cities in texas <table_name> : city | | city_name | population | c(...TRUNCATED)
"| | city_name |\n|---:|:---------------|\n| 0 | houston |\n| 1 | dallas |\(...TRUNCATED)
which states have a major city named austin ?
{"columns":["state_name"],"index":[0],"data":[["texas"]]}
[ "city" ]
["{\"columns\":[\"city_name\",\"population\",\"country_name\",\"state_name\"],\"index\":[0,1,2,3,4,5(...TRUNCATED)
"which states have a major city named austin ? <table_name> : city col : city_name | population | co(...TRUNCATED)
col : state_name row 1 : texas
"which states have a major city named austin ? <table_name> : city \\begin{tabular}{lllll}\n\\toprul(...TRUNCATED)
"\\begin{tabular}{ll}\n\\toprule\n & state_name \\\\\n\\midrule\n0 & texas \\\\\n\\bottomrule\n\\end(...TRUNCATED)
"which states have a major city named austin ? <table_name> : city <table border=\"1\" class=\"dataf(...TRUNCATED)
"<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <(...TRUNCATED)
"which states have a major city named austin ? <table_name> : city | | city_name | pop(...TRUNCATED)
| | state_name | |---:|:-------------| | 0 | texas |
which state is kalamazoo in
{"columns":["state_name"],"index":[0],"data":[["michigan"]]}
[ "city" ]
["{\"columns\":[\"city_name\",\"population\",\"country_name\",\"state_name\"],\"index\":[0,1,2,3,4,5(...TRUNCATED)
"which state is kalamazoo in <table_name> : city col : city_name | population | country_name | state(...TRUNCATED)
col : state_name row 1 : michigan
"which state is kalamazoo in <table_name> : city \\begin{tabular}{lllll}\n\\toprule\n & city_name & (...TRUNCATED)
"\\begin{tabular}{ll}\n\\toprule\n & state_name \\\\\n\\midrule\n0 & michigan \\\\\n\\bottomrule\n\\(...TRUNCATED)
"which state is kalamazoo in <table_name> : city <table border=\"1\" class=\"dataframe\">\n <thead>(...TRUNCATED)
"<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <(...TRUNCATED)
"which state is kalamazoo in <table_name> : city | | city_name | population | country_(...TRUNCATED)
| | state_name | |---:|:-------------| | 0 | michigan |
how many states border hawaii
{"columns":["count(border_info.border)"],"index":[0],"data":[[0]]}
[ "border_info" ]
["{\"columns\":[\"state_name\",\"border\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18(...TRUNCATED)
"how many states border hawaii <table_name> : border_info col : state_name | border row 1 : alabama (...TRUNCATED)
col : count(border_info.border) row 1 : 0
"how many states border hawaii <table_name> : border_info \\begin{tabular}{lll}\n\\toprule\n & state(...TRUNCATED)
"\\begin{tabular}{ll}\n\\toprule\n & count(border_info.border) \\\\\n\\midrule\n0 & 0 \\\\\n\\bottom(...TRUNCATED)
"how many states border hawaii <table_name> : border_info <table border=\"1\" class=\"dataframe\">\n(...TRUNCATED)
"<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <(...TRUNCATED)
"how many states border hawaii <table_name> : border_info | | state_name | border (...TRUNCATED)
"| | count(border_info.border) |\n|---:|----------------------------:|\n| 0 | (...TRUNCATED)
what is the smallest state in the usa
{"columns":["state_name"],"index":[0],"data":[["district of columbia"]]}
[ "state" ]
["{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"i(...TRUNCATED)
"what is the smallest state in the usa <table_name> : state col : state_name | population | area | c(...TRUNCATED)
col : state_name row 1 : district of columbia
"what is the smallest state in the usa <table_name> : state \\begin{tabular}{lllllll}\n\\toprule\n &(...TRUNCATED)
"\\begin{tabular}{ll}\n\\toprule\n & state_name \\\\\n\\midrule\n0 & district of columbia \\\\\n\\bo(...TRUNCATED)
"what is the smallest state in the usa <table_name> : state <table border=\"1\" class=\"dataframe\">(...TRUNCATED)
"<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <(...TRUNCATED)
"what is the smallest state in the usa <table_name> : state | | state_name | populati(...TRUNCATED)
| | state_name | |---:|:---------------------| | 0 | district of columbia |
what is the biggest state in continental us
{"columns":["state_name"],"index":[0],"data":[["alaska"]]}
[ "state" ]
["{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"i(...TRUNCATED)
"what is the biggest state in continental us <table_name> : state col : state_name | population | ar(...TRUNCATED)
col : state_name row 1 : alaska
"what is the biggest state in continental us <table_name> : state \\begin{tabular}{lllllll}\n\\topru(...TRUNCATED)
"\\begin{tabular}{ll}\n\\toprule\n & state_name \\\\\n\\midrule\n0 & alaska \\\\\n\\bottomrule\n\\en(...TRUNCATED)
"what is the biggest state in continental us <table_name> : state <table border=\"1\" class=\"datafr(...TRUNCATED)
"<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <(...TRUNCATED)
"what is the biggest state in continental us <table_name> : state | | state_name | po(...TRUNCATED)
| | state_name | |---:|:-------------| | 0 | alaska |
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