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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 | {"columns":["city_name"],"index":[0],"data":[["omaha"]]} | [
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arbor\",107969,\"usa\",\"michigan\"],[\"livonia\",104814,\"usa\",\"michigan\"],[\"dearborn\",90660,\"usa\",\"michigan\"],[\"westland\",84603,\"usa\",\"michigan\"],[\"kalamazoo\",79722,\"usa\",\"michigan\"],[\"taylor\",77568,\"usa\",\"michigan\"],[\"saginaw\",77508,\"usa\",\"michigan\"],[\"pontiac\",76715,\"usa\",\"michigan\"],[\"st. clair shores\",76210,\"usa\",\"michigan\"],[\"southfield\",75568,\"usa\",\"michigan\"],[\"clinton\",72400,\"usa\",\"michigan\"],[\"royal oak\",70893,\"usa\",\"michigan\"],[\"dearborn heights\",67706,\"usa\",\"michigan\"],[\"troy\",67102,\"usa\",\"michigan\"],[\"waterford\",64250,\"usa\",\"michigan\"],[\"wyoming\",59616,\"usa\",\"michigan\"],[\"redford\",58441,\"usa\",\"michigan\"],[\"farmington hills\",58056,\"usa\",\"michigan\"],[\"minneapolis\",370951,\"usa\",\"minnesota\"],[\"st. paul\",270230,\"usa\",\"minnesota\"],[\"duluth\",92811,\"usa\",\"minnesota\"],[\"bloomington\",81831,\"usa\",\"minnesota\"],[\"rochester\",57906,\"usa\",\"minnesota\"],[\"jackson\",202895,\"usa\",\"mississippi\"],[\"st. louis\",453085,\"usa\",\"missouri\"],[\"kansas city\",448159,\"usa\",\"missouri\"],[\"springfield\",133116,\"usa\",\"missouri\"],[\"independence\",111797,\"usa\",\"missouri\"],[\"st. joseph\",76691,\"usa\",\"missouri\"],[\"columbia\",62061,\"usa\",\"missouri\"],[\"billings\",66842,\"usa\",\"montana\"],[\"great falls\",56725,\"usa\",\"montana\"],[\"omaha\",314255,\"usa\",\"nebraska\"],[\"lincoln\",171932,\"usa\",\"nebraska\"],[\"las vegas\",164674,\"usa\",\"nevada\"],[\"reno\",100756,\"usa\",\"nevada\"],[\"manchester\",90936,\"usa\",\"new hampshire\"],[\"nashua\",67865,\"usa\",\"new hampshire\"],[\"newark\",329248,\"usa\",\"new jersey\"],[\"jersey city\",223532,\"usa\",\"new jersey\"],[\"paterson\",137970,\"usa\",\"new jersey\"],[\"elizabeth\",106201,\"usa\",\"new 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 | |