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822d0514ad6c3058d70cffec53211837
0_totto74-1
totto
0
1
in 2016 season, charles sims finished with 51 rushes for 149 yards.
in 2016 season, how many rushes did charles sims finish for 149 yards?
[51.0]
["none"]
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["=E7"]
{"E7": "(4, 4)"}
<table border='1' cellpadding='4' cellspacing='0'> <tr> <td rowspan='2'>season</td> <td rowspan='2'>team</td> <td colspan='2'>games</td> <td colspan='5'>rushing</td> <td colspan='5'>receiving</td> <td colspan='2'>fumbles</td> </tr> <tr> <td>gp</td> <td>gs</td> <td>att</td> <td>yds</td> <td>avg</td> <td>lng</td> <td>td</td> <td>rec</td> <td>yds</td> <td>avg</td> <td>lng</td> <td>td</td> <td>fum</td> <td>lost</td> </tr> <tr> <td>2014</td> <td>tampa bay buccaneers</td> <td>8</td> <td>0</td> <td>66</td> <td>185</td> <td>2.8</td> <td>20</td> <td>1</td> <td>19</td> <td>190</td> <td>10.0</td> <td>24</td> <td>0</td> <td>2</td> <td>1</td> </tr> <tr> <td>2015</td> <td>tampa bay buccaneers</td> <td>16</td> <td>0</td> <td>107</td> <td>529</td> <td>4.9</td> <td>59</td> <td>0</td> <td>51</td> <td>561</td> <td>11.0</td> <td>56</td> <td>4</td> <td>2</td> <td>2</td> </tr> <tr> <td>2016</td> <td>tampa bay buccaneers</td> <td>7</td> <td>2</td> <td>51</td> <td>149</td> <td>2.9</td> <td>23</td> <td>1</td> <td>24</td> <td>190</td> <td>7.9</td> <td>33</td> <td>1</td> <td>1</td> <td>1</td> </tr> <tr> <td>2017</td> <td>tampa bay buccaneers</td> <td>16</td> <td>0</td> <td>21</td> <td>95</td> <td>4.5</td> <td>21</td> <td>0</td> <td>35</td> <td>249</td> <td>7.1</td> <td>25</td> <td>1</td> <td>1</td> <td>1</td> </tr> <tr> <td colspan='2'>total</td> <td>47</td> <td>2</td> <td>245</td> <td>958</td> <td>3.9</td> <td>59</td> <td>2</td> <td>129</td> <td>1,190</td> <td>9.2</td> <td>56</td> <td>6</td> <td>6</td> <td>5</td> </tr> </table>
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249b7a7903f9dec2873b2ff4eafb8075
0_totto109-3
totto
0
1
schwartz was the manager of rot-weiß erfurt between 11 april 2003 and 30 june 2003 where he won one out of 10 matches.
how many games did schwartz, the manager of rot-weiß erfurt between 11 april 2003 and 30 june 2003, won out of 10 matches?
[1.0]
["none"]
{"entity_link": {"top": {"matches": {"(1, 3)": "g"}, "won": {"(1, 4)": "w"}}, "left": {"rot-wei\u00df erfurt": {"(2, 0)": "rot-wei\u00df erfurt"}, "11 april 2003": {"(2, 1)": "11 april 2003"}, "30 june 2003": {"(2, 2)": "30 june 2003"}}, "top_left_corner": {}}, "quantity_link": {"10": {"(2, 3)": 10.0}, "[ANSWER]": {"(2, 4)": 1.0}}}
["=E5"]
{"E5": "(2, 4)"}
<table border='1' cellpadding='4' cellspacing='0'> <tr> <td rowspan='2'>team</td> <td rowspan='2'>from</td> <td rowspan='2'>to</td> <td colspan='6'>record</td> </tr> <tr> <td>g</td> <td>w</td> <td>d</td> <td>l</td> <td>win %</td> <td>ref</td> </tr> <tr> <td>rot-weiß erfurt</td> <td>11 april 2003</td> <td>30 june 2003</td> <td>10</td> <td>1</td> <td>3</td> <td>6</td> <td>10.00</td> <td>none</td> </tr> <tr> <td>1. fc kaiserslautern ii</td> <td>1 january 2007</td> <td>9 september 2012</td> <td>193</td> <td>86</td> <td>48</td> <td>59</td> <td>44.56</td> <td>none</td> </tr> <tr> <td>1. fc kaiserslautern</td> <td>4 may 2009</td> <td>30 june 2009</td> <td>4</td> <td>1</td> <td>0</td> <td>3</td> <td>25.00</td> <td>none</td> </tr> <tr> <td>rot-weiß erfurt</td> <td>10 september 2012</td> <td>30 september 2013</td> <td>30</td> <td>10</td> <td>9</td> <td>11</td> <td>33.33</td> <td>none</td> </tr> <tr> <td>sv sandhausen</td> <td>1 july 2013</td> <td>25 june 2016</td> <td>108</td> <td>35</td> <td>30</td> <td>43</td> <td>32.41</td> <td>none</td> </tr> <tr> <td>1. fc nurnberg</td> <td>25 june 2016</td> <td>7 march 2017</td> <td>25</td> <td>8</td> <td>6</td> <td>11</td> <td>32.00</td> <td>none</td> </tr> <tr> <td>karlsruher sc</td> <td>29 august 2017</td> <td>present</td> <td>46</td> <td>23</td> <td>15</td> <td>8</td> <td>50.00</td> <td>none</td> </tr> <tr> <td colspan='3'>total</td> <td>416</td> <td>164</td> <td>111</td> <td>141</td> <td>39.42</td> <td>-</td> </tr> </table>
[ [ "team", "from", "to", "record", "", "", "", "", "" ], [ "", "", "", "g", "w", "d", "l", "win %", "ref" ], [ "rot-weiß erfurt", "11 april 2003", "30 june 2003", "10", "1", "3", "6", "10.00", "none" ], [ "1. fc kaiserslautern ii", "1 january 2007", "9 september 2012", "193", "86", "48", "59", "44.56", "none" ], [ "1. fc kaiserslautern", "4 may 2009", "30 june 2009", "4", "1", "0", "3", "25.00", "none" ], [ "rot-weiß erfurt", "10 september 2012", "30 september 2013", "30", "10", "9", "11", "33.33", "none" ], [ "sv sandhausen", "1 july 2013", "25 june 2016", "108", "35", "30", "43", "32.41", "none" ], [ "1. fc nurnberg", "25 june 2016", "7 march 2017", "25", "8", "6", "11", "32.00", "none" ], [ "karlsruher sc", "29 august 2017", "present", "46", "23", "15", "8", "50.00", "none" ], [ "total", "", "", "416", "164", "111", "141", "39.42", "-" ] ]
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57184793dfabcdd5a164e3c047a101e1
0_totto115-4
totto
0
1
in total, craig finished his eleven nfl seasons with 8,189 rushing yards and 566 receptions for 4,911 receiving yards.
in total, how many rushing yards did craig finish during his eleven nfl seasons?
[8189.0]
["none"]
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["=D16"]
{"D16": "(13, 3)"}
<table border='1' cellpadding='4' cellspacing='0'> <tr> <td>none</td> <td colspan='6'>rushing</td> <td colspan='5'>receiving</td> </tr> <tr> <td>year</td> <td>team</td> <td>att</td> <td>yds</td> <td>avg</td> <td>lng</td> <td>td</td> <td>no</td> <td>yds</td> <td>avg</td> <td>lng</td> <td>td</td> </tr> <tr> <td>1983</td> <td>sf</td> <td>176</td> <td>725</td> <td>4.1</td> <td>71</td> <td>8</td> <td>48</td> <td>427</td> <td>8.9</td> <td>23</td> <td>4</td> </tr> <tr> <td>1984</td> <td>sf</td> <td>155</td> <td>649</td> <td>4.2</td> <td>28</td> <td>4</td> <td>71</td> <td>675</td> <td>9.5</td> <td>64</td> <td>3</td> </tr> <tr> <td>1985</td> <td>sf</td> <td>214</td> <td>1,050</td> <td>4.9</td> <td>62</td> <td>9</td> <td>92</td> <td>1,016</td> <td>11.0</td> <td>73</td> <td>6</td> </tr> <tr> <td>1986</td> <td>sf</td> <td>204</td> <td>830</td> <td>4.1</td> <td>25</td> <td>7</td> <td>81</td> <td>624</td> <td>7.7</td> <td>48</td> <td>0</td> </tr> <tr> <td>1987</td> <td>sf</td> <td>215</td> <td>815</td> <td>3.8</td> <td>25</td> <td>3</td> <td>66</td> <td>492</td> <td>7.5</td> <td>35</td> <td>1</td> </tr> <tr> <td>1988</td> <td>sf</td> <td>310</td> <td>1,502</td> <td>4.8</td> <td>46</td> <td>9</td> <td>76</td> <td>534</td> <td>7.0</td> <td>22</td> <td>1</td> </tr> <tr> <td>1989</td> <td>sf</td> <td>271</td> <td>1,054</td> <td>3.9</td> <td>27</td> <td>6</td> <td>49</td> <td>473</td> <td>9.7</td> <td>44</td> <td>1</td> </tr> <tr> <td>1990</td> <td>sf</td> <td>141</td> <td>439</td> <td>3.1</td> <td>26</td> <td>1</td> <td>25</td> <td>201</td> <td>8.0</td> <td>31</td> <td>0</td> </tr> <tr> <td>1991</td> <td>rai</td> <td>162</td> <td>590</td> <td>3.6</td> <td>15</td> <td>1</td> <td>17</td> <td>136</td> <td>8.0</td> <td>20</td> <td>0</td> </tr> <tr> <td>1992</td> <td>min</td> <td>105</td> <td>416</td> <td>4.0</td> <td>21</td> <td>4</td> <td>22</td> <td>164</td> <td>7.5</td> <td>22</td> <td>0</td> </tr> <tr> <td>1993</td> <td>min</td> <td>38</td> <td>119</td> <td>3.1</td> <td>11</td> <td>1</td> <td>19</td> <td>169</td> <td>8.9</td> <td>31</td> <td>1</td> </tr> <tr> <td>totals</td> <td>-</td> <td>1,991</td> <td>8,189</td> <td>4.1</td> <td>71</td> <td>56</td> <td>566</td> <td>4,911</td> <td>8.7</td> <td>73</td> <td>17</td> </tr> </table>
[ [ "none", "rushing", "", "", "", "", "", "receiving", "", "", "", "" ], [ "year", "team", "att", "yds", "avg", "lng", "td", "no", "yds", "avg", "lng", "td" ], [ "1983", "sf", "176", "725", "4.1", "71", "8", "48", "427", "8.9", "23", "4" ], [ "1984", "sf", "155", "649", "4.2", "28", "4", "71", "675", "9.5", "64", "3" ], [ "1985", "sf", "214", "1,050", "4.9", "62", "9", "92", "1,016", "11.0", "73", "6" ], [ "1986", "sf", "204", "830", "4.1", "25", "7", "81", "624", "7.7", "48", "0" ], [ "1987", "sf", "215", "815", "3.8", "25", "3", "66", "492", "7.5", "35", "1" ], [ "1988", "sf", "310", "1,502", "4.8", "46", "9", "76", "534", "7.0", "22", "1" ], [ "1989", "sf", "271", "1,054", "3.9", "27", "6", "49", "473", "9.7", "44", "1" ], [ "1990", "sf", "141", "439", "3.1", "26", "1", "25", "201", "8.0", "31", "0" ], [ "1991", "rai", "162", "590", "3.6", "15", "1", "17", "136", "8.0", "20", "0" ], [ "1992", "min", "105", "416", "4.0", "21", "4", "22", "164", "7.5", "22", "0" ], [ "1993", "min", "38", "119", "3.1", "11", "1", "19", "169", "8.9", "31", "1" ], [ "totals", "-", "1,991", "8,189", "4.1", "71", "56", "566", "4,911", "8.7", "73", "17" ] ]
{"title": "national football league statistics", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "rushing", "value": "rushing", "type": "string", "children_dict": [{"name": "team", "value": "team", "type": "string", "children_dict": [], "line_idx": 0}, {"name": "att", "value": "att", "type": "string", "children_dict": [], "line_idx": 1}, {"name": "yds", "value": "yds", "type": "string", "children_dict": [], "line_idx": 2}, {"name": "avg", "value": "avg", "type": "string", "children_dict": [], "line_idx": 3}, {"name": "lng", "value": "lng", "type": "string", "children_dict": [], "line_idx": 4}, {"name": "td", "value": "td", "type": "string", "children_dict": [], "line_idx": 5}], "line_idx": null}, {"name": "receiving", "value": "receiving", "type": "string", "children_dict": [{"name": "no", "value": "no", "type": "string", "children_dict": [], "line_idx": 6}, {"name": "yds", "value": "yds", "type": "string", "children_dict": [], "line_idx": 7}, {"name": "avg", "value": "avg", "type": "string", "children_dict": [], "line_idx": 8}, {"name": "lng", "value": "lng", "type": "string", "children_dict": [], "line_idx": 9}, {"name": "td", "value": "td", "type": "string", "children_dict": [], "line_idx": 10}], "line_idx": null}]}, "left_root": {"name": "<LEFT>", "value": "<LEFT>", "type": "string", "line_idx": null, "children_dict": [{"name": "1983", "value": "1983", "type": "string", "children_dict": [], "line_idx": 0}, {"name": "1984", "value": "1984", "type": "string", "children_dict": [], "line_idx": 1}, {"name": "1985", "value": "1985", "type": "string", "children_dict": [], "line_idx": 2}, {"name": "1986", "value": "1986", "type": "string", "children_dict": [], "line_idx": 3}, {"name": "1987", "value": "1987", "type": "string", "children_dict": [], "line_idx": 4}, {"name": "1988", "value": "1988", "type": "string", "children_dict": [], "line_idx": 5}, {"name": "1989", "value": "1989", "type": "string", "children_dict": [], "line_idx": 6}, {"name": "1990", "value": "1990", "type": "string", "children_dict": [], "line_idx": 7}, {"name": "1991", "value": "1991", "type": "string", "children_dict": [], "line_idx": 8}, {"name": "1992", "value": "1992", "type": "string", "children_dict": [], "line_idx": 9}, {"name": "1993", "value": "1993", "type": "string", "children_dict": [], "line_idx": 10}, {"name": "totals", "value": "totals", "type": "string", "children_dict": [], "line_idx": 11}]}, "data": [[{"value": "sf"}, {"value": 176}, {"value": 725}, {"value": 4.1}, {"value": 71}, {"value": 8}, {"value": 48}, {"value": 427}, {"value": 8.9}, {"value": 23}, {"value": 4}], [{"value": "sf"}, {"value": 155}, {"value": 649}, {"value": 4.2}, {"value": 28}, {"value": 4}, {"value": 71}, {"value": 675}, {"value": 9.5}, {"value": 64}, {"value": 3}], [{"value": "sf"}, {"value": 214}, {"value": 1050}, {"value": 4.9}, {"value": 62}, {"value": 9}, {"value": 92}, {"value": 1016}, {"value": 11.0}, {"value": 73}, {"value": 6}], [{"value": "sf"}, {"value": 204}, {"value": 830}, {"value": 4.1}, {"value": 25}, {"value": 7}, {"value": 81}, {"value": 624}, {"value": 7.7}, {"value": 48}, {"value": 0}], [{"value": "sf"}, {"value": 215}, {"value": 815}, {"value": 3.8}, {"value": 25}, {"value": 3}, {"value": 66}, {"value": 492}, {"value": 7.5}, {"value": 35}, {"value": 1}], [{"value": "sf"}, {"value": 310}, {"value": 1502}, {"value": 4.8}, {"value": 46}, {"value": 9}, {"value": 76}, {"value": 534}, {"value": 7.0}, {"value": 22}, {"value": 1}], [{"value": "sf"}, {"value": 271}, {"value": 1054}, {"value": 3.9}, {"value": 27}, {"value": 6}, {"value": 49}, {"value": 473}, {"value": 9.7}, {"value": 44}, {"value": 1}], [{"value": "sf"}, {"value": 141}, {"value": 439}, {"value": 3.1}, {"value": 26}, {"value": 1}, {"value": 25}, {"value": 201}, {"value": 8.0}, {"value": 31}, {"value": 0}], [{"value": "rai"}, {"value": 162}, {"value": 590}, {"value": 3.6}, {"value": 15}, {"value": 1}, {"value": 17}, {"value": 136}, {"value": 8.0}, {"value": 20}, {"value": 0}], [{"value": "min"}, {"value": 105}, {"value": 416}, {"value": 4.0}, {"value": 21}, {"value": 4}, {"value": 22}, {"value": 164}, {"value": 7.5}, {"value": 22}, {"value": 0}], [{"value": "min"}, {"value": 38}, {"value": 119}, {"value": 3.1}, {"value": 11}, {"value": 1}, {"value": 19}, {"value": 169}, {"value": 8.9}, {"value": 31}, {"value": 1}], [{"value": "-"}, {"value": 1991}, {"value": 8189}, {"value": 4.1}, {"value": 71}, {"value": 56}, {"value": 566}, {"value": 4911}, {"value": 8.7}, {"value": 73}, {"value": 17}]]}
006e304c1c80127c12da2a041702ad17
1000
statcan
5757
1
a higher proportion of men than women were admitted under the family sponsorship program.
which had a higher proportion of admittances under the family sponsorship program,women or men?
['men']
["pair-argmax"]
{"entity_link": {"top": {"family sponsorship program": {"(0, 4)": "family-sponsored immigrants"}}, "left": {"men": {"(14, 0)": "men"}, "women": {"(3, 0)": "women"}, "[ANSWER]": {"(14, 0)": "men"}}, "top_left_corner": {}}, "quantity_link": {}}
["=A17"]
{"A17": "(14, 0)"}
<table border='1' cellpadding='4' cellspacing='0'> <tr> <td rowspan='3'>country of birth</td> <td colspan='3'>economic immigrants</td> <td>family-sponsored immigrants</td> <td>refugees</td> <td>other immigrants</td> <td>total</td> </tr> <tr> <td>principal applicants</td> <td>secondary applicants</td> <td colspan='5'>total</td> </tr> <tr> <td colspan='7'>percent</td> </tr> <tr> <td colspan='8'>women</td> </tr> <tr> <td>jamaica</td> <td>31.2</td> <td>9.0</td> <td>40.2</td> <td>55.9</td> <td>2.0</td> <td>2.0</td> <td>100.0</td> </tr> <tr> <td>haiti</td> <td>26.3</td> <td>12.5</td> <td>38.8</td> <td>35.8</td> <td>18.6</td> <td>6.8</td> <td>100.0</td> </tr> <tr> <td>trinidad and tobago</td> <td>32.9</td> <td>10.0</td> <td>42.9</td> <td>50.7</td> <td>2.8</td> <td>3.5</td> <td>100.0</td> </tr> <tr> <td>guyana</td> <td>23.0</td> <td>11.4</td> <td>34.4</td> <td>57.7</td> <td>3.8</td> <td>4.2</td> <td>100.0</td> </tr> <tr> <td>barbados</td> <td>38.1</td> <td>6.1</td> <td>44.2</td> <td>47.6</td> <td>2.7</td> <td>5.6</td> <td>100.0</td> </tr> <tr> <td>saint vincent and the grenadines</td> <td>15.4</td> <td>1.0</td> <td>16.4</td> <td>38.7</td> <td>26.2</td> <td>18.7</td> <td>100.0</td> </tr> <tr> <td>grenada</td> <td>27.9</td> <td>2.8</td> <td>30.7</td> <td>44.3</td> <td>7.8</td> <td>17.2</td> <td>100.0</td> </tr> <tr> <td>saint lucia</td> <td>16.9</td> <td>3.8</td> <td>20.7</td> <td>37.0</td> <td>25.6</td> <td>16.7</td> <td>100.0</td> </tr> <tr> <td>other countries</td> <td>33.3</td> <td>11.0</td> <td>44.2</td> <td>45.3</td> <td>6.7</td> <td>3.8</td> <td>100.0</td> </tr> <tr> <td>total</td> <td>27.7</td> <td>9.5</td> <td>37.2</td> <td>45.0</td> <td>11.3</td> <td>6.5</td> <td>100.0</td> </tr> <tr> <td colspan='8'>men</td> </tr> <tr> <td>jamaica</td> <td>17.1</td> <td>6.5</td> <td>23.6</td> <td>72.8</td> <td>1.9</td> <td>1.6</td> <td>100.0</td> </tr> <tr> <td>haiti</td> <td>29.7</td> <td>8.9</td> <td>38.5</td> <td>39.1</td> <td>16.1</td> <td>6.3</td> <td>100.0</td> </tr> <tr> <td>trinidad and tobago</td> <td>19.0</td> <td>4.3</td> <td>23.4</td> <td>71.8</td> <td>1.9</td> <td>2.9</td> <td>100.0</td> </tr> <tr> <td>guyana</td> <td>16.8</td> <td>7.8</td> <td>24.7</td> <td>70.8</td> <td>1.2</td> <td>3.3</td> <td>100.0</td> </tr> <tr> <td>barbados</td> <td>18.1</td> <td>1.9</td> <td>20.0</td> <td>77.4</td> <td>1.9</td> <td>0.6</td> <td>100.0</td> </tr> <tr> <td>saint vincent and the grenadines</td> <td>8.4</td> <td>1.7</td> <td>10.2</td> <td>68.9</td> <td>11.9</td> <td>8.9</td> <td>100.0</td> </tr> <tr> <td>grenada</td> <td>13.9</td> <td>3.9</td> <td>17.9</td> <td>69.9</td> <td>4.6</td> <td>7.6</td> <td>100.0</td> </tr> <tr> <td>saint lucia</td> <td>9.4</td> <td>2.6</td> <td>12.0</td> <td>67.6</td> <td>14.7</td> <td>5.7</td> <td>100.0</td> </tr> <tr> <td>other countries</td> <td>22.4</td> <td>4.9</td> <td>27.3</td> <td>61.4</td> <td>9.6</td> <td>1.7</td> <td>100.0</td> </tr> <tr> <td>total</td> <td>21.9</td> <td>6.9</td> <td>28.7</td> <td>58.6</td> <td>8.6</td> <td>4.1</td> <td>100.0</td> </tr> </table>
[ [ "country of birth", "economic immigrants", "", "", "family-sponsored immigrants", "refugees", "other immigrants", "total" ], [ "", "principal applicants", "secondary applicants", "total", "", "", "", "" ], [ "", "percent", "", "", "", "", "", "" ], [ "women", "", "", "", "", "", "", "" ], [ "jamaica", "31.2", "9.0", "40.2", "55.9", "2.0", "2.0", "100.0" ], [ "haiti", "26.3", "12.5", "38.8", "35.8", "18.6", "6.8", "100.0" ], [ "trinidad and tobago", "32.9", "10.0", "42.9", "50.7", "2.8", "3.5", "100.0" ], [ "guyana", "23.0", "11.4", "34.4", "57.7", "3.8", "4.2", "100.0" ], [ "barbados", "38.1", "6.1", "44.2", "47.6", "2.7", "5.6", "100.0" ], [ "saint vincent and the grenadines", "15.4", "1.0", "16.4", "38.7", "26.2", "18.7", "100.0" ], [ "grenada", "27.9", "2.8", "30.7", "44.3", "7.8", "17.2", "100.0" ], [ "saint lucia", "16.9", "3.8", "20.7", "37.0", "25.6", "16.7", "100.0" ], [ "other countries", "33.3", "11.0", "44.2", "45.3", "6.7", "3.8", "100.0" ], [ "total", "27.7", "9.5", "37.2", "45.0", "11.3", "6.5", "100.0" ], [ "men", "", "", "", "", "", "", "" ], [ "jamaica", "17.1", "6.5", "23.6", "72.8", "1.9", "1.6", "100.0" ], [ "haiti", "29.7", "8.9", "38.5", "39.1", "16.1", "6.3", "100.0" ], [ "trinidad and tobago", "19.0", "4.3", "23.4", "71.8", "1.9", "2.9", "100.0" ], [ "guyana", "16.8", "7.8", "24.7", "70.8", "1.2", "3.3", "100.0" ], [ "barbados", "18.1", "1.9", "20.0", "77.4", "1.9", "0.6", "100.0" ], [ "saint vincent and the grenadines", "8.4", "1.7", "10.2", "68.9", "11.9", "8.9", "100.0" ], [ "grenada", "13.9", "3.9", "17.9", "69.9", "4.6", "7.6", "100.0" ], [ "saint lucia", "9.4", "2.6", "12.0", "67.6", "14.7", "5.7", "100.0" ], [ "other countries", "22.4", "4.9", "27.3", "61.4", "9.6", "1.7", "100.0" ], [ "total", "21.9", "6.9", "28.7", "58.6", "8.6", "4.1", "100.0" ] ]
{"title": "distribution of black immigrants aged 25 to 59, born in the caribbean and bermuda or in latin america, admitted since 1980 at age 25 or older, by admission category, sex and country of birth, canada, 2016", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "economic immigrants", "value": "economic immigrants", "type": "string", "children_dict": [{"name": "principal applicants", "value": "principal applicants", "type": "string", "children_dict": [], "line_idx": 0}, {"name": "secondary applicants", "value": "secondary applicants", "type": "string", "children_dict": [], "line_idx": 1}, {"name": "total", "value": "total", "type": "string", "children_dict": [], "line_idx": 2}], "line_idx": null}, {"name": "family-sponsored immigrants", "value": "family-sponsored immigrants", "type": "string", "children_dict": [], "line_idx": 3}, {"name": "refugees", "value": "refugees", "type": "string", "children_dict": [], "line_idx": 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{"name": "barbados", "value": "barbados", "type": "string", "children_dict": [], "line_idx": 16}, {"name": "saint vincent and the grenadines", "value": "saint vincent and the grenadines", "type": "string", "children_dict": [], "line_idx": 17}, {"name": "grenada", "value": "grenada", "type": "string", "children_dict": [], "line_idx": 18}, {"name": "saint lucia", "value": "saint lucia", "type": "string", "children_dict": [], "line_idx": 19}, {"name": "other countries", "value": "other countries", "type": "string", "children_dict": [], "line_idx": 20}], "line_idx": 11}, {"name": "total", "value": "total", "type": "string", "children_dict": [], "line_idx": 21}], "line_idx": null}]}, "data": [[{"value": ""}, {"value": ""}, {"value": ""}, {"value": ""}, {"value": ""}, {"value": ""}, {"value": ""}], [{"value": 31.2}, {"value": 9.0}, {"value": 40.2}, {"value": 55.9}, {"value": 2.0}, {"value": 2.0}, {"value": 100.0}], [{"value": 26.3}, {"value": 12.5}, {"value": 38.8}, {"value": 35.8}, {"value": 18.6}, {"value": 6.8}, {"value": 100.0}], [{"value": 32.9}, {"value": 10.0}, {"value": 42.9}, {"value": 50.7}, {"value": 2.8}, {"value": 3.5}, {"value": 100.0}], [{"value": 23.0}, {"value": 11.4}, {"value": 34.4}, {"value": 57.7}, {"value": 3.8}, {"value": 4.2}, {"value": 100.0}], [{"value": 38.1}, {"value": 6.1}, {"value": 44.2}, {"value": 47.6}, {"value": 2.7}, {"value": 5.6}, {"value": 100.0}], [{"value": 15.4}, {"value": 1.0}, {"value": 16.4}, {"value": 38.7}, {"value": 26.2}, {"value": 18.7}, {"value": 100.0}], [{"value": 27.9}, {"value": 2.8}, {"value": 30.7}, {"value": 44.3}, {"value": 7.8}, {"value": 17.2}, {"value": 100.0}], [{"value": 16.9}, {"value": 3.8}, {"value": 20.7}, {"value": 37.0}, {"value": 25.6}, {"value": 16.7}, {"value": 100.0}], [{"value": 33.3}, {"value": 11.0}, {"value": 44.2}, {"value": 45.3}, {"value": 6.7}, {"value": 3.8}, {"value": 100.0}], [{"value": 27.7}, {"value": 9.5}, {"value": 37.2}, {"value": 45.0}, {"value": 11.3}, {"value": 6.5}, {"value": 100.0}], [{"value": ""}, {"value": ""}, {"value": ""}, {"value": ""}, {"value": ""}, {"value": ""}, {"value": ""}], [{"value": 17.1}, {"value": 6.5}, {"value": 23.6}, {"value": 72.8}, {"value": 1.9}, {"value": 1.6}, {"value": 100.0}], [{"value": 29.7}, {"value": 8.9}, {"value": 38.5}, {"value": 39.1}, {"value": 16.1}, {"value": 6.3}, {"value": 100.0}], [{"value": 19.0}, {"value": 4.3}, {"value": 23.4}, {"value": 71.8}, {"value": 1.9}, {"value": 2.9}, {"value": 100.0}], [{"value": 16.8}, {"value": 7.8}, {"value": 24.7}, {"value": 70.8}, {"value": 1.2}, {"value": 3.3}, {"value": 100.0}], [{"value": 18.1}, {"value": 1.9}, {"value": 20.0}, {"value": 77.4}, {"value": 1.9}, {"value": 0.6}, {"value": 100.0}], [{"value": 8.4}, {"value": 1.7}, {"value": 10.2}, {"value": 68.9}, {"value": 11.9}, {"value": 8.9}, {"value": 100.0}], [{"value": 13.9}, {"value": 3.9}, {"value": 17.9}, {"value": 69.9}, {"value": 4.6}, {"value": 7.6}, {"value": 100.0}], [{"value": 9.4}, {"value": 2.6}, {"value": 12.0}, {"value": 67.6}, {"value": 14.7}, {"value": 5.7}, {"value": 100.0}], [{"value": 22.4}, {"value": 4.9}, {"value": 27.3}, {"value": 61.4}, {"value": 9.6}, {"value": 1.7}, {"value": 100.0}], [{"value": 21.9}, {"value": 6.9}, {"value": 28.7}, {"value": 58.6}, {"value": 8.6}, {"value": 4.1}, {"value": 100.0}]]}
96db851bc4d88b027ffa428dea62e748
1001
statcan
5762
1
for immigrants from some african countries of origin, like cameroon, cote d'ivoire and senegal, more than half of the male immigrants were admitted as a principal applicant under the economic program.
list african countries of origin that have more than half of the male immigrants admitted as a principal applicant under the economic program.
['cameroon', "cote d'ivoire", 'senegal']
["greater_than"]
{"entity_link": {"top": {"admitted as a principal applicant under the economic program": {"(1, 1)": "principal applicants"}}, "left": {"male immigrants": {"(22, 0)": "men"}, "[ANSWER]": {"(33, 0)": "cameroon", "(36, 0)": "cote d'ivoire", "(37, 0)": "senegal"}}, "top_left_corner": {"immigrants from some african countries of origin": {"(0, 0)": "country of birth"}}}, "quantity_link": {}}
["=A36", "= A39", "=A40"]
{"A36": "(33, 0)", "A39": "(36, 0)", "A40": "(37, 0)"}
<table border='1' cellpadding='4' cellspacing='0'> <tr> <td rowspan='3'>country of birth</td> <td colspan='3'>economic immigrants</td> <td>family-sponsored immigrants</td> <td>refugees</td> <td>other immigrants</td> <td>total</td> </tr> <tr> <td>principal applicants</td> <td>secondary applicants</td> <td colspan='5'>total</td> </tr> <tr> <td colspan='7'>percent</td> </tr> <tr> <td colspan='8'>women</td> </tr> <tr> <td>ethiopia</td> <td>3.0</td> <td>3.6</td> <td>6.6</td> <td>34.9</td> <td>58.0</td> <td>0.5</td> <td>100.0</td> </tr> <tr> <td>somalia</td> <td>1.0</td> <td>1.1</td> <td>2.1</td> <td>21.3</td> <td>75.1</td> <td>1.5</td> <td>100.0</td> </tr> <tr> <td>eritrea</td> <td>1.1</td> <td>2.0</td> <td>3.1</td> <td>23.9</td> <td>72.9</td> <td>0.1</td> <td>100.0</td> </tr> <tr> <td>sudan</td> <td>4.2</td> <td>6.3</td> <td>10.6</td> <td>23.9</td> <td>65.0</td> <td>0.6</td> <td>100.0</td> </tr> <tr> <td>south sudan</td> <td>0.0</td> <td>0.4</td> <td>0.4</td> <td>14.5</td> <td>85.1</td> <td>0.0</td> <td>100.0</td> </tr> <tr> <td>burundi</td> <td>3.9</td> <td>9.5</td> <td>13.4</td> <td>16.8</td> <td>64.6</td> <td>5.2</td> <td>100.0</td> </tr> <tr> <td>kenya</td> <td>33.0</td> <td>22.6</td> <td>55.6</td> <td>23.8</td> <td>18.1</td> <td>2.5</td> <td>100.0</td> </tr> <tr> <td>zimbabwe</td> <td>8.5</td> <td>9.0</td> <td>17.5</td> <td>12.8</td> <td>59.0</td> <td>10.7</td> <td>100.0</td> </tr> <tr> <td>rwanda</td> <td>6.4</td> <td>7.4</td> <td>13.8</td> <td>16.1</td> <td>67.4</td> <td>2.7</td> <td>100.0</td> </tr> <tr> <td>democratic republic of the congo</td> <td>6.1</td> <td>4.4</td> <td>10.5</td> <td>16.1</td> <td>67.9</td> <td>5.5</td> <td>100.0</td> </tr> <tr> <td>cameroon</td> <td>37.0</td> <td>30.5</td> <td>67.4</td> <td>22.8</td> <td>9.1</td> <td>0.7</td> <td>100.0</td> </tr> <tr> <td>nigeria</td> <td>21.3</td> <td>40.7</td> <td>62.1</td> <td>19.0</td> <td>17.1</td> <td>1.9</td> <td>100.0</td> </tr> <tr> <td>ghana</td> <td>12.1</td> <td>14.8</td> <td>26.9</td> <td>52.0</td> <td>18.5</td> <td>2.7</td> <td>100.0</td> </tr> <tr> <td>cote d'ivoire</td> <td>29.9</td> <td>33.2</td> <td>63.0</td> <td>28.7</td> <td>7.5</td> <td>0.8</td> <td>100.0</td> </tr> <tr> <td>senegal</td> <td>35.3</td> <td>20.7</td> <td>56.0</td> <td>36.7</td> <td>6.5</td> <td>0.9</td> <td>100.0</td> </tr> <tr> <td>guinea</td> <td>15.5</td> <td>15.8</td> <td>31.3</td> <td>34.1</td> <td>32.0</td> <td>2.7</td> <td>100.0</td> </tr> <tr> <td>other countries</td> <td>21.7</td> <td>18.2</td> <td>39.9</td> <td>24.3</td> <td>33.7</td> <td>2.1</td> <td>100.0</td> </tr> <tr> <td>total</td> <td>15.3</td> <td>17.3</td> <td>32.6</td> <td>25.3</td> <td>39.9</td> <td>2.2</td> <td>100.0</td> </tr> <tr> <td colspan='8'>men</td> </tr> <tr> <td>ethiopia</td> <td>6.7</td> <td>0.5</td> <td>7.2</td> <td>19.7</td> <td>72.8</td> <td>0.4</td> <td>100.0</td> </tr> <tr> <td>somalia</td> <td>3.4</td> <td>0.1</td> <td>3.5</td> <td>11.9</td> <td>83.6</td> <td>1.0</td> <td>100.0</td> </tr> <tr> <td>eritrea</td> <td>1.8</td> <td>0.1</td> <td>1.9</td> <td>8.8</td> <td>89.2</td> <td>0.0</td> <td>100.0</td> </tr> <tr> <td>sudan</td> <td>6.3</td> <td>1.2</td> <td>7.6</td> <td>4.3</td> <td>88.1</td> <td>0.0</td> <td>100.0</td> </tr> <tr> <td>south sudan</td> <td>1.7</td> <td>0.0</td> <td>1.7</td> <td>3.5</td> <td>94.8</td> <td>0.0</td> <td>100.0</td> </tr> <tr> <td>burundi</td> <td>15.2</td> <td>1.3</td> <td>16.5</td> <td>8.2</td> <td>70.0</td> <td>5.4</td> <td>100.0</td> </tr> <tr> <td>kenya</td> <td>45.0</td> <td>9.5</td> <td>54.6</td> <td>22.2</td> <td>18.9</td> <td>4.4</td> <td>100.0</td> </tr> <tr> <td>zimbabwe</td> <td>15.4</td> <td>3.7</td> <td>19.1</td> <td>11.1</td> <td>60.3</td> <td>9.5</td> <td>100.0</td> </tr> <tr> <td>rwanda</td> <td>12.8</td> <td>1.4</td> <td>14.2</td> <td>9.9</td> <td>71.6</td> <td>4.4</td> <td>100.0</td> </tr> <tr> <td>democratic republic of the congo</td> <td>12.3</td> <td>1.8</td> <td>14.1</td> <td>10.2</td> <td>69.6</td> <td>6.1</td> <td>100.0</td> </tr> <tr> <td>cameroon</td> <td>71.4</td> <td>9.5</td> <td>81.0</td> <td>11.2</td> <td>7.5</td> <td>0.3</td> <td>100.0</td> </tr> <tr> <td>nigeria</td> <td>51.2</td> <td>12.0</td> <td>63.3</td> <td>21.2</td> <td>13.5</td> <td>2.0</td> <td>100.0</td> </tr> <tr> <td>ghana</td> <td>28.5</td> <td>4.2</td> <td>32.7</td> <td>42.1</td> <td>21.8</td> <td>3.3</td> <td>100.0</td> </tr> <tr> <td>cote d'ivoire</td> <td>72.2</td> <td>8.2</td> <td>80.4</td> <td>12.5</td> <td>6.3</td> <td>0.9</td> <td>100.0</td> </tr> <tr> <td>senegal</td> <td>67.5</td> <td>6.2</td> <td>73.7</td> <td>21.2</td> <td>4.9</td> <td>0.2</td> <td>100.0</td> </tr> <tr> <td>guinea</td> <td>50.5</td> <td>2.7</td> <td>53.2</td> <td>21.4</td> <td>22.6</td> <td>2.8</td> <td>100.0</td> </tr> <tr> <td>other countries</td> <td>45.2</td> <td>5.5</td> <td>50.7</td> <td>17.1</td> <td>30.0</td> <td>2.1</td> <td>100.0</td> </tr> <tr> <td>total</td> <td>33.9</td> <td>5.1</td> <td>39.0</td> <td>17.2</td> <td>41.7</td> <td>2.1</td> <td>100.0</td> </tr> </table>
[ [ "country of birth", "economic immigrants", "", "", "family-sponsored immigrants", "refugees", "other immigrants", "total" ], [ "", "principal applicants", "secondary applicants", "total", "", "", "", "" ], [ "", "percent", "", "", "", "", "", "" ], [ "women", "", "", "", "", "", "", "" ], [ "ethiopia", "3.0", "3.6", "6.6", "34.9", "58.0", "0.5", "100.0" ], [ "somalia", "1.0", "1.1", "2.1", "21.3", "75.1", "1.5", "100.0" ], [ "eritrea", "1.1", "2.0", "3.1", "23.9", "72.9", "0.1", "100.0" ], [ "sudan", "4.2", "6.3", "10.6", "23.9", "65.0", "0.6", "100.0" ], [ "south sudan", "0.0", "0.4", "0.4", "14.5", "85.1", "0.0", "100.0" ], [ "burundi", "3.9", "9.5", "13.4", "16.8", "64.6", "5.2", "100.0" ], [ "kenya", "33.0", "22.6", "55.6", "23.8", "18.1", "2.5", "100.0" ], [ "zimbabwe", "8.5", "9.0", "17.5", "12.8", "59.0", "10.7", "100.0" ], [ "rwanda", "6.4", "7.4", "13.8", "16.1", "67.4", "2.7", "100.0" ], [ "democratic republic of the congo", "6.1", "4.4", "10.5", "16.1", "67.9", "5.5", "100.0" ], [ "cameroon", "37.0", "30.5", "67.4", "22.8", "9.1", "0.7", "100.0" ], [ "nigeria", "21.3", "40.7", "62.1", "19.0", "17.1", "1.9", "100.0" ], [ "ghana", "12.1", "14.8", "26.9", "52.0", "18.5", "2.7", "100.0" ], [ "cote d'ivoire", "29.9", "33.2", "63.0", "28.7", "7.5", "0.8", "100.0" ], [ "senegal", "35.3", "20.7", "56.0", "36.7", "6.5", "0.9", "100.0" ], [ "guinea", "15.5", "15.8", "31.3", "34.1", "32.0", "2.7", "100.0" ], [ "other countries", "21.7", "18.2", "39.9", "24.3", "33.7", "2.1", "100.0" ], [ "total", "15.3", "17.3", "32.6", "25.3", "39.9", "2.2", "100.0" ], [ "men", "", "", "", "", "", "", "" ], [ "ethiopia", "6.7", "0.5", "7.2", "19.7", "72.8", "0.4", "100.0" ], [ "somalia", "3.4", "0.1", "3.5", "11.9", "83.6", "1.0", "100.0" ], [ "eritrea", "1.8", "0.1", "1.9", "8.8", "89.2", "0.0", "100.0" ], [ "sudan", "6.3", "1.2", "7.6", "4.3", "88.1", "0.0", "100.0" ], [ "south sudan", "1.7", "0.0", "1.7", "3.5", "94.8", "0.0", "100.0" ], [ "burundi", "15.2", "1.3", "16.5", "8.2", "70.0", "5.4", "100.0" ], [ "kenya", "45.0", "9.5", "54.6", "22.2", "18.9", "4.4", "100.0" ], [ "zimbabwe", "15.4", "3.7", "19.1", "11.1", "60.3", "9.5", "100.0" ], [ "rwanda", "12.8", "1.4", "14.2", "9.9", "71.6", "4.4", "100.0" ], [ "democratic republic of the congo", "12.3", "1.8", "14.1", "10.2", "69.6", "6.1", "100.0" ], [ "cameroon", "71.4", "9.5", "81.0", "11.2", "7.5", "0.3", "100.0" ], [ "nigeria", "51.2", "12.0", "63.3", "21.2", "13.5", "2.0", "100.0" ], [ "ghana", "28.5", "4.2", "32.7", "42.1", "21.8", "3.3", "100.0" ], [ "cote d'ivoire", "72.2", "8.2", "80.4", "12.5", "6.3", "0.9", "100.0" ], [ "senegal", "67.5", "6.2", "73.7", "21.2", "4.9", "0.2", "100.0" ], [ "guinea", "50.5", "2.7", "53.2", "21.4", "22.6", "2.8", "100.0" ], [ "other countries", "45.2", "5.5", "50.7", "17.1", "30.0", "2.1", "100.0" ], [ "total", "33.9", "5.1", "39.0", "17.2", "41.7", "2.1", "100.0" ] ]
{"title": "distribution of black immigrants aged 25 to 59, born in africa and admitted since 1980 at age 25 or older, by admission category, sex and country of birth, canada, 2016", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "economic immigrants", "value": "economic immigrants", "type": "string", "children_dict": [{"name": "principal applicants", "value": "principal applicants", "type": "string", "children_dict": [], "line_idx": 0}, {"name": "secondary applicants", "value": "secondary applicants", "type": "string", "children_dict": [], "line_idx": 1}, {"name": "total", "value": "total", "type": "string", "children_dict": [], "line_idx": 2}], "line_idx": null}, {"name": "family-sponsored immigrants", "value": "family-sponsored immigrants", "type": "string", "children_dict": [], "line_idx": 3}, {"name": "refugees", "value": "refugees", "type": "string", "children_dict": [], "line_idx": 4}, {"name": "other immigrants", 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"line_idx": 6}, {"name": "kenya", "value": "kenya", "type": "string", "children_dict": [], "line_idx": 7}, {"name": "zimbabwe", "value": "zimbabwe", "type": "string", "children_dict": [], "line_idx": 8}, {"name": "rwanda", "value": "rwanda", "type": "string", "children_dict": [], "line_idx": 9}, {"name": "democratic republic of the congo", "value": "democratic republic of the congo", "type": "string", "children_dict": [], "line_idx": 10}, {"name": "cameroon", "value": "cameroon", "type": "string", "children_dict": [], "line_idx": 11}, {"name": "nigeria", "value": "nigeria", "type": "string", "children_dict": [], "line_idx": 12}, {"name": "ghana", "value": "ghana", "type": "string", "children_dict": [], "line_idx": 13}, {"name": "cote d'ivoire", "value": "cote d'ivoire", "type": "string", "children_dict": [], "line_idx": 14}, {"name": "senegal", "value": "senegal", "type": "string", "children_dict": [], "line_idx": 15}, {"name": "guinea", "value": "guinea", "type": "string", 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0.0}, {"value": 100.0}], [{"value": 1.7}, {"value": 0.0}, {"value": 1.7}, {"value": 3.5}, {"value": 94.8}, {"value": 0.0}, {"value": 100.0}], [{"value": 15.2}, {"value": 1.3}, {"value": 16.5}, {"value": 8.2}, {"value": 70.0}, {"value": 5.4}, {"value": 100.0}], [{"value": 45.0}, {"value": 9.5}, {"value": 54.6}, {"value": 22.2}, {"value": 18.9}, {"value": 4.4}, {"value": 100.0}], [{"value": 15.4}, {"value": 3.7}, {"value": 19.1}, {"value": 11.1}, {"value": 60.3}, {"value": 9.5}, {"value": 100.0}], [{"value": 12.8}, {"value": 1.4}, {"value": 14.2}, {"value": 9.9}, {"value": 71.6}, {"value": 4.4}, {"value": 100.0}], [{"value": 12.3}, {"value": 1.8}, {"value": 14.1}, {"value": 10.2}, {"value": 69.6}, {"value": 6.1}, {"value": 100.0}], [{"value": 71.4}, {"value": 9.5}, {"value": 81.0}, {"value": 11.2}, {"value": 7.5}, {"value": 0.3}, {"value": 100.0}], [{"value": 51.2}, {"value": 12.0}, {"value": 63.3}, {"value": 21.2}, {"value": 13.5}, {"value": 2.0}, {"value": 100.0}], [{"value": 28.5}, {"value": 4.2}, {"value": 32.7}, {"value": 42.1}, {"value": 21.8}, {"value": 3.3}, {"value": 100.0}], [{"value": 72.2}, {"value": 8.2}, {"value": 80.4}, {"value": 12.5}, {"value": 6.3}, {"value": 0.9}, {"value": 100.0}], [{"value": 67.5}, {"value": 6.2}, {"value": 73.7}, {"value": 21.2}, {"value": 4.9}, {"value": 0.2}, {"value": 100.0}], [{"value": 50.5}, {"value": 2.7}, {"value": 53.2}, {"value": 21.4}, {"value": 22.6}, {"value": 2.8}, {"value": 100.0}], [{"value": 45.2}, {"value": 5.5}, {"value": 50.7}, {"value": 17.1}, {"value": 30.0}, {"value": 2.1}, {"value": 100.0}], [{"value": 33.9}, {"value": 5.1}, {"value": 39.0}, {"value": 17.2}, {"value": 41.7}, {"value": 2.1}, {"value": 100.0}]]}
46f5c6ff99aa9d0f5d04fd847593fc87
1002
statcan
5763
1
the black immigrant populations stand out for their prevalence of lone mothers, compared with the rest of the canadian population.
which population has more women aged 25 to 59 who were lone parents? black immigrants or the rest of the canadian population?
['black population']
["pair-argmax"]
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["=A5"]
{"A5": "(2, 0)"}
<table border='1' cellpadding='4' cellspacing='0'> <tr> <td>2001</td> <td>2006</td> <td>2011</td> <td>2016</td> </tr> <tr> <td>total</td> <td colspan='4'>percent</td> </tr> <tr> <td>black population</td> <td>30.7</td> <td>30.0</td> <td>29.1</td> <td>27.4</td> </tr> <tr> <td>rest of the population</td> <td>10.1</td> <td>10.2</td> <td>10.4</td> <td>10.6</td> </tr> <tr> <td colspan='5'>immigrant women</td> </tr> <tr> <td colspan='5'>black population</td> </tr> <tr> <td>total</td> <td>32.2</td> <td>32.0</td> <td>30.7</td> <td>29.2</td> </tr> <tr> <td>caribbean and latin america</td> <td>33.9</td> <td>34.6</td> <td>34.2</td> <td>34.4</td> </tr> <tr> <td>africa</td> <td>28.9</td> <td>28.2</td> <td>27.0</td> <td>25.1</td> </tr> <tr> <td>other regions</td> <td>21.2</td> <td>20.6</td> <td>17.5</td> <td>18.1</td> </tr> <tr> <td>rest of the population</td> <td>9.0</td> <td>9.2</td> <td>9.6</td> <td>9.8</td> </tr> <tr> <td colspan='5'>canadian-born women</td> </tr> <tr> <td colspan='5'>black population</td> </tr> <tr> <td>second generation-total</td> <td>23.8</td> <td>22.8</td> <td>23.4</td> <td>23.3</td> </tr> <tr> <td>caribbean and latin america</td> <td>25.1</td> <td>22.9</td> <td>23.6</td> <td>24.7</td> </tr> <tr> <td>africa</td> <td>15.6</td> <td>15.6</td> <td>16.4</td> <td>13.1</td> </tr> <tr> <td>other regions</td> <td>20.7</td> <td>26.9</td> <td>26.3</td> <td>20.0</td> </tr> <tr> <td>canada</td> <td>27.2</td> <td>27.8</td> <td>28.0</td> <td>26.4</td> </tr> <tr> <td colspan='5'>rest of the population</td> </tr> <tr> <td>second generation</td> <td>8.6</td> <td>8.7</td> <td>9.1</td> <td>9.2</td> </tr> <tr> <td>canada</td> <td>10.8</td> <td>11.0</td> <td>11.0</td> <td>11.5</td> </tr> </table>
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ea1e8a9b80bbc4bc75089edece4613ab
1002
statcan
5764
1
among black immigrant women aged 25 to 59 in 2016, about three in ten were lone parents.
how many percent of black immigrant women aged 25 to 59 in 2016 were lone parents?
[29.2]
["none"]
{"entity_link": {"top": {"in 2016": {"(0, 4)": 2016.0}}, "left": {"black immigrant women aged 25 to 59": {"(5, 0)": "black population"}}, "top_left_corner": {}}, "quantity_link": {"[ANSWER]": {"(6, 4)": 29.2}}}
["=E9"]
{"E9": "(6, 4)"}
<table border='1' cellpadding='4' cellspacing='0'> <tr> <td>2001</td> <td>2006</td> <td>2011</td> <td>2016</td> </tr> <tr> <td>total</td> <td colspan='4'>percent</td> </tr> <tr> <td>black population</td> <td>30.7</td> <td>30.0</td> <td>29.1</td> <td>27.4</td> </tr> <tr> <td>rest of the population</td> <td>10.1</td> <td>10.2</td> <td>10.4</td> <td>10.6</td> </tr> <tr> <td colspan='5'>immigrant women</td> </tr> <tr> <td colspan='5'>black population</td> </tr> <tr> <td>total</td> <td>32.2</td> <td>32.0</td> <td>30.7</td> <td>29.2</td> </tr> <tr> <td>caribbean and latin america</td> <td>33.9</td> <td>34.6</td> <td>34.2</td> <td>34.4</td> </tr> <tr> <td>africa</td> <td>28.9</td> <td>28.2</td> <td>27.0</td> <td>25.1</td> </tr> <tr> <td>other regions</td> <td>21.2</td> <td>20.6</td> <td>17.5</td> <td>18.1</td> </tr> <tr> <td>rest of the population</td> <td>9.0</td> <td>9.2</td> <td>9.6</td> <td>9.8</td> </tr> <tr> <td colspan='5'>canadian-born women</td> </tr> <tr> <td colspan='5'>black population</td> </tr> <tr> <td>second generation-total</td> <td>23.8</td> <td>22.8</td> <td>23.4</td> <td>23.3</td> </tr> <tr> <td>caribbean and latin america</td> <td>25.1</td> <td>22.9</td> <td>23.6</td> <td>24.7</td> </tr> <tr> <td>africa</td> <td>15.6</td> <td>15.6</td> <td>16.4</td> <td>13.1</td> </tr> <tr> <td>other regions</td> <td>20.7</td> <td>26.9</td> <td>26.3</td> <td>20.0</td> </tr> <tr> <td>canada</td> <td>27.2</td> <td>27.8</td> <td>28.0</td> <td>26.4</td> </tr> <tr> <td colspan='5'>rest of the population</td> </tr> <tr> <td>second generation</td> <td>8.6</td> <td>8.7</td> <td>9.1</td> <td>9.2</td> </tr> <tr> <td>canada</td> <td>10.8</td> <td>11.0</td> <td>11.0</td> <td>11.5</td> </tr> </table>
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7a669cbe702769e1b9b5facc0244f24b
1002
statcan
5765
1
among black immigrant women aged 25 to 59 in 2016, one in ten for other immigrant women were lone parents.
among black immigrant women aged 25 to 59 in 2016, how many percent of other immigrant women were lone parents?
[9.8]
["none"]
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["=E13"]
{"E13": "(10, 4)"}
<table border='1' cellpadding='4' cellspacing='0'> <tr> <td>2001</td> <td>2006</td> <td>2011</td> <td>2016</td> </tr> <tr> <td>total</td> <td colspan='4'>percent</td> </tr> <tr> <td>black population</td> <td>30.7</td> <td>30.0</td> <td>29.1</td> <td>27.4</td> </tr> <tr> <td>rest of the population</td> <td>10.1</td> <td>10.2</td> <td>10.4</td> <td>10.6</td> </tr> <tr> <td colspan='5'>immigrant women</td> </tr> <tr> <td colspan='5'>black population</td> </tr> <tr> <td>total</td> <td>32.2</td> <td>32.0</td> <td>30.7</td> <td>29.2</td> </tr> <tr> <td>caribbean and latin america</td> <td>33.9</td> <td>34.6</td> <td>34.2</td> <td>34.4</td> </tr> <tr> <td>africa</td> <td>28.9</td> <td>28.2</td> <td>27.0</td> <td>25.1</td> </tr> <tr> <td>other regions</td> <td>21.2</td> <td>20.6</td> <td>17.5</td> <td>18.1</td> </tr> <tr> <td>rest of the population</td> <td>9.0</td> <td>9.2</td> <td>9.6</td> <td>9.8</td> </tr> <tr> <td colspan='5'>canadian-born women</td> </tr> <tr> <td colspan='5'>black population</td> </tr> <tr> <td>second generation-total</td> <td>23.8</td> <td>22.8</td> <td>23.4</td> <td>23.3</td> </tr> <tr> <td>caribbean and latin america</td> <td>25.1</td> <td>22.9</td> <td>23.6</td> <td>24.7</td> </tr> <tr> <td>africa</td> <td>15.6</td> <td>15.6</td> <td>16.4</td> <td>13.1</td> </tr> <tr> <td>other regions</td> <td>20.7</td> <td>26.9</td> <td>26.3</td> <td>20.0</td> </tr> <tr> <td>canada</td> <td>27.2</td> <td>27.8</td> <td>28.0</td> <td>26.4</td> </tr> <tr> <td colspan='5'>rest of the population</td> </tr> <tr> <td>second generation</td> <td>8.6</td> <td>8.7</td> <td>9.1</td> <td>9.2</td> </tr> <tr> <td>canada</td> <td>10.8</td> <td>11.0</td> <td>11.0</td> <td>11.5</td> </tr> </table>
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a39496f71bad9ca3352cf1cfee049e97
1002
statcan
5766
1
the highest proportion of lone mothers was found in women from caribbean and latin-american countries among black immigrant women aged 25 to 59 in 2016.
which region of origion of the immigrants has the highest proportion of lone mothers among black immigrant women aged 25 to 59 in 2016?
['caribbean and latin america']
["argmax"]
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["=A10"]
{"A10": "(7, 0)"}
<table border='1' cellpadding='4' cellspacing='0'> <tr> <td>2001</td> <td>2006</td> <td>2011</td> <td>2016</td> </tr> <tr> <td>total</td> <td colspan='4'>percent</td> </tr> <tr> <td>black population</td> <td>30.7</td> <td>30.0</td> <td>29.1</td> <td>27.4</td> </tr> <tr> <td>rest of the population</td> <td>10.1</td> <td>10.2</td> <td>10.4</td> <td>10.6</td> </tr> <tr> <td colspan='5'>immigrant women</td> </tr> <tr> <td colspan='5'>black population</td> </tr> <tr> <td>total</td> <td>32.2</td> <td>32.0</td> <td>30.7</td> <td>29.2</td> </tr> <tr> <td>caribbean and latin america</td> <td>33.9</td> <td>34.6</td> <td>34.2</td> <td>34.4</td> </tr> <tr> <td>africa</td> <td>28.9</td> <td>28.2</td> <td>27.0</td> <td>25.1</td> </tr> <tr> <td>other regions</td> <td>21.2</td> <td>20.6</td> <td>17.5</td> <td>18.1</td> </tr> <tr> <td>rest of the population</td> <td>9.0</td> <td>9.2</td> <td>9.6</td> <td>9.8</td> </tr> <tr> <td colspan='5'>canadian-born women</td> </tr> <tr> <td colspan='5'>black population</td> </tr> <tr> <td>second generation-total</td> <td>23.8</td> <td>22.8</td> <td>23.4</td> <td>23.3</td> </tr> <tr> <td>caribbean and latin america</td> <td>25.1</td> <td>22.9</td> <td>23.6</td> <td>24.7</td> </tr> <tr> <td>africa</td> <td>15.6</td> <td>15.6</td> <td>16.4</td> <td>13.1</td> </tr> <tr> <td>other regions</td> <td>20.7</td> <td>26.9</td> <td>26.3</td> <td>20.0</td> </tr> <tr> <td>canada</td> <td>27.2</td> <td>27.8</td> <td>28.0</td> <td>26.4</td> </tr> <tr> <td colspan='5'>rest of the population</td> </tr> <tr> <td>second generation</td> <td>8.6</td> <td>8.7</td> <td>9.1</td> <td>9.2</td> </tr> <tr> <td>canada</td> <td>10.8</td> <td>11.0</td> <td>11.0</td> <td>11.5</td> </tr> </table>
[ [ "", "2001", "2006", "2011", "2016" ], [ "total", "percent", "", "", "" ], [ "black population", "30.7", "30.0", "29.1", "27.4" ], [ "rest of the population", "10.1", "10.2", "10.4", "10.6" ], [ "immigrant women", "", "", "", "" ], [ "black population", "", "", "", "" ], [ "total", "32.2", "32.0", "30.7", "29.2" ], [ "caribbean and latin america", "33.9", "34.6", "34.2", "34.4" ], [ "africa", "28.9", "28.2", "27.0", "25.1" ], [ "other regions", "21.2", "20.6", "17.5", "18.1" ], [ "rest of the population", "9.0", "9.2", "9.6", "9.8" ], [ "canadian-born women", "", "", "", "" ], [ "black population", "", "", "", "" ], [ "second generation-total", "23.8", "22.8", "23.4", "23.3" ], [ "caribbean and latin america", "25.1", "22.9", "23.6", "24.7" ], [ "africa", "15.6", "15.6", "16.4", "13.1" ], [ "other regions", "20.7", "26.9", "26.3", "20.0" ], [ "canada", "27.2", "27.8", "28.0", "26.4" ], [ "rest of the population", "", "", "", "" ], [ "second generation", "8.6", "8.7", "9.1", "9.2" ], [ "canada", "10.8", "11.0", "11.0", "11.5" ] ]
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41c09839ad631914ee8fb625dd81bc05
1003
statcan
5773
1
the proportions of black male immigrants from the caribbean and latin america with a postsecondary diploma or a university diploma were lower than those of black male immigrants from africa.
which region of birth has fewer proportion of black male immigrants with a postsecondary diploma or a university diploma? black male immigrants from africa or from caribbean and latin america?
['caribbean and latin america']
["pair-argmin"]
{"entity_link": {"top": {"black male immigrants": {"(0, 3)": "men"}, "with a postsecondary diploma or a university diploma": {"(1, 3)": "non-university or university postsecondary diploma"}}, "left": {"from africa": {"(4, 0)": "africa"}, "[ANSWER]": {"(3, 0)": "caribbean and latin america"}, "proportions": {"(2, 1)": "percent"}}, "top_left_corner": {}}, "quantity_link": {}}
["=A6"]
{"A6": "(3, 0)"}
<table border='1' cellpadding='4' cellspacing='0'> <tr> <td rowspan='2'>region or country of birth</td> <td colspan='2'>women</td> <td colspan='2'>men</td> </tr> <tr> <td>non-university or university postsecondary diploma</td> <td>university degree only</td> <td>non-university or university postsecondary diploma</td> <td>university degree only</td> </tr> <tr> <td>region of birth</td> <td colspan='4'>percent</td> </tr> <tr> <td>caribbean and latin america</td> <td>71.7</td> <td>17.8</td> <td>57.0</td> <td>15.2</td> </tr> <tr> <td>africa</td> <td>68.1</td> <td>31.5</td> <td>70.6</td> <td>41.8</td> </tr> <tr> <td>other regions</td> <td>70.9</td> <td>37.4</td> <td>65.5</td> <td>32.5</td> </tr> <tr> <td colspan='5'>country of birth</td> </tr> <tr> <td>jamaica</td> <td>73.4</td> <td>19.5</td> <td>52.1</td> <td>12.7</td> </tr> <tr> <td>haiti</td> <td>75.0</td> <td>15.6</td> <td>66.3</td> <td>20.3</td> </tr> <tr> <td>trinidad and tobago</td> <td>70.8</td> <td>21.9</td> <td>58.6</td> <td>13.0</td> </tr> <tr> <td>guyana</td> <td>67.3</td> <td>19.2</td> <td>58.6</td> <td>14.3</td> </tr> <tr> <td>barbados</td> <td>71.2</td> <td>17.6</td> <td>55.6</td> <td>14.4</td> </tr> <tr> <td>saint vincent and the grenadines</td> <td>56.2</td> <td>8.0</td> <td>37.9</td> <td>7.6</td> </tr> <tr> <td>grenada</td> <td>58.9</td> <td>10.1</td> <td>44.5</td> <td>7.0</td> </tr> <tr> <td>saint lucia</td> <td>57.0</td> <td>14.2</td> <td>43.0</td> <td>8.1</td> </tr> <tr> <td>united kingdom</td> <td>80.6</td> <td>36.6</td> <td>70.9</td> <td>28.6</td> </tr> <tr> <td>united states</td> <td>75.8</td> <td>42.6</td> <td>62.1</td> <td>32.2</td> </tr> <tr> <td>ethiopia</td> <td>51.3</td> <td>11.2</td> <td>52.0</td> <td>20.7</td> </tr> <tr> <td>somalia</td> <td>35.9</td> <td>12.4</td> <td>39.8</td> <td>16.0</td> </tr> <tr> <td>eritrea</td> <td>38.4</td> <td>6.8</td> <td>40.4</td> <td>13.2</td> </tr> <tr> <td>sudan</td> <td>48.7</td> <td>25.2</td> <td>52.4</td> <td>26.1</td> </tr> <tr> <td>south sudan</td> <td>38.2</td> <td>8.6</td> <td>51.8</td> <td>19.5</td> </tr> <tr> <td>burundi</td> <td>71.8</td> <td>34.4</td> <td>69.9</td> <td>39.9</td> </tr> <tr> <td>kenya</td> <td>81.5</td> <td>44.3</td> <td>78.4</td> <td>51.1</td> </tr> <tr> <td>zimbabwe</td> <td>83.3</td> <td>38.9</td> <td>82.9</td> <td>35.6</td> </tr> <tr> <td>rwanda</td> <td>78.1</td> <td>38.0</td> <td>72.8</td> <td>44.9</td> </tr> <tr> <td>democratic republic of the congo</td> <td>69.8</td> <td>22.0</td> <td>73.0</td> <td>36.2</td> </tr> <tr> <td>cameroon</td> <td>87.2</td> <td>55.6</td> <td>90.2</td> <td>67.4</td> </tr> <tr> <td>nigeria</td> <td>89.6</td> <td>62.2</td> <td>87.1</td> <td>67.6</td> </tr> <tr> <td>ghana</td> <td>69.3</td> <td>23.2</td> <td>68.3</td> <td>30.3</td> </tr> <tr> <td>cote d'ivoire</td> <td>81.1</td> <td>37.0</td> <td>87.2</td> <td>55.5</td> </tr> <tr> <td>senegal</td> <td>81.2</td> <td>52.9</td> <td>89.2</td> <td>62.8</td> </tr> <tr> <td>guinea</td> <td>78.8</td> <td>37.1</td> <td>82.1</td> <td>59.4</td> </tr> </table>
[ [ "region or country of birth", "women", "", "men", "" ], [ "", "non-university or university postsecondary diploma", "university degree only", "non-university or university postsecondary diploma", "university degree only" ], [ "region of birth", "percent", "", "", "" ], [ "caribbean and latin america", "71.7", "17.8", "57.0", "15.2" ], [ "africa", "68.1", "31.5", "70.6", "41.8" ], [ "other regions", "70.9", "37.4", "65.5", "32.5" ], [ "country of birth", "", "", "", "" ], [ "jamaica", "73.4", "19.5", "52.1", "12.7" ], [ "haiti", "75.0", "15.6", "66.3", "20.3" ], [ "trinidad and tobago", "70.8", "21.9", "58.6", "13.0" ], [ "guyana", "67.3", "19.2", "58.6", "14.3" ], [ "barbados", "71.2", "17.6", "55.6", "14.4" ], [ "saint vincent and the grenadines", "56.2", "8.0", "37.9", "7.6" ], [ "grenada", "58.9", "10.1", "44.5", "7.0" ], [ "saint lucia", "57.0", "14.2", "43.0", "8.1" ], [ "united kingdom", "80.6", "36.6", "70.9", "28.6" ], [ "united states", "75.8", "42.6", "62.1", "32.2" ], [ "ethiopia", "51.3", "11.2", "52.0", "20.7" ], [ "somalia", "35.9", "12.4", "39.8", "16.0" ], [ "eritrea", "38.4", "6.8", "40.4", "13.2" ], [ "sudan", "48.7", "25.2", "52.4", "26.1" ], [ "south sudan", "38.2", "8.6", "51.8", "19.5" ], [ "burundi", "71.8", "34.4", "69.9", "39.9" ], [ "kenya", "81.5", "44.3", "78.4", "51.1" ], [ "zimbabwe", "83.3", "38.9", "82.9", "35.6" ], [ "rwanda", "78.1", "38.0", "72.8", "44.9" ], [ "democratic republic of the congo", "69.8", "22.0", "73.0", "36.2" ], [ "cameroon", "87.2", "55.6", "90.2", "67.4" ], [ "nigeria", "89.6", "62.2", "87.1", "67.6" ], [ "ghana", "69.3", "23.2", "68.3", "30.3" ], [ "cote d'ivoire", "81.1", "37.0", "87.2", "55.5" ], [ "senegal", "81.2", "52.9", "89.2", "62.8" ], [ "guinea", "78.8", "37.1", "82.1", "59.4" ] ]
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8fb0e0a6818fcfa37daab4e055b84f53
1003
statcan
5774
1
the proportion holding a postsecondary diploma for women born in the caribbean or latin america in 2016 was slightly higher than those born in africa.
which region of birth has higher proportion of black female immigrants with a postsecondary diploma or a university diploma? black female immigrants from africa or from caribbean and latin america?
['caribbean and latin america']
["pair-argmax"]
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["=A6"]
{"A6": "(3, 0)"}
<table border='1' cellpadding='4' cellspacing='0'> <tr> <td rowspan='2'>region or country of birth</td> <td colspan='2'>women</td> <td colspan='2'>men</td> </tr> <tr> <td>non-university or university postsecondary diploma</td> <td>university degree only</td> <td>non-university or university postsecondary diploma</td> <td>university degree only</td> </tr> <tr> <td>region of birth</td> <td colspan='4'>percent</td> </tr> <tr> <td>caribbean and latin america</td> <td>71.7</td> <td>17.8</td> <td>57.0</td> <td>15.2</td> </tr> <tr> <td>africa</td> <td>68.1</td> <td>31.5</td> <td>70.6</td> <td>41.8</td> </tr> <tr> <td>other regions</td> <td>70.9</td> <td>37.4</td> <td>65.5</td> <td>32.5</td> </tr> <tr> <td colspan='5'>country of birth</td> </tr> <tr> <td>jamaica</td> <td>73.4</td> <td>19.5</td> <td>52.1</td> <td>12.7</td> </tr> <tr> <td>haiti</td> <td>75.0</td> <td>15.6</td> <td>66.3</td> <td>20.3</td> </tr> <tr> <td>trinidad and tobago</td> <td>70.8</td> <td>21.9</td> <td>58.6</td> <td>13.0</td> </tr> <tr> <td>guyana</td> <td>67.3</td> <td>19.2</td> <td>58.6</td> <td>14.3</td> </tr> <tr> <td>barbados</td> <td>71.2</td> <td>17.6</td> <td>55.6</td> <td>14.4</td> </tr> <tr> <td>saint vincent and the grenadines</td> <td>56.2</td> <td>8.0</td> <td>37.9</td> <td>7.6</td> </tr> <tr> <td>grenada</td> <td>58.9</td> <td>10.1</td> <td>44.5</td> <td>7.0</td> </tr> <tr> <td>saint lucia</td> <td>57.0</td> <td>14.2</td> <td>43.0</td> <td>8.1</td> </tr> <tr> <td>united kingdom</td> <td>80.6</td> <td>36.6</td> <td>70.9</td> <td>28.6</td> </tr> <tr> <td>united states</td> <td>75.8</td> <td>42.6</td> <td>62.1</td> <td>32.2</td> </tr> <tr> <td>ethiopia</td> <td>51.3</td> <td>11.2</td> <td>52.0</td> <td>20.7</td> </tr> <tr> <td>somalia</td> <td>35.9</td> <td>12.4</td> <td>39.8</td> <td>16.0</td> </tr> <tr> <td>eritrea</td> <td>38.4</td> <td>6.8</td> <td>40.4</td> <td>13.2</td> </tr> <tr> <td>sudan</td> <td>48.7</td> <td>25.2</td> <td>52.4</td> <td>26.1</td> </tr> <tr> <td>south sudan</td> <td>38.2</td> <td>8.6</td> <td>51.8</td> <td>19.5</td> </tr> <tr> <td>burundi</td> <td>71.8</td> <td>34.4</td> <td>69.9</td> <td>39.9</td> </tr> <tr> <td>kenya</td> <td>81.5</td> <td>44.3</td> <td>78.4</td> <td>51.1</td> </tr> <tr> <td>zimbabwe</td> <td>83.3</td> <td>38.9</td> <td>82.9</td> <td>35.6</td> </tr> <tr> <td>rwanda</td> <td>78.1</td> <td>38.0</td> <td>72.8</td> <td>44.9</td> </tr> <tr> <td>democratic republic of the congo</td> <td>69.8</td> <td>22.0</td> <td>73.0</td> <td>36.2</td> </tr> <tr> <td>cameroon</td> <td>87.2</td> <td>55.6</td> <td>90.2</td> <td>67.4</td> </tr> <tr> <td>nigeria</td> <td>89.6</td> <td>62.2</td> <td>87.1</td> <td>67.6</td> </tr> <tr> <td>ghana</td> <td>69.3</td> <td>23.2</td> <td>68.3</td> <td>30.3</td> </tr> <tr> <td>cote d'ivoire</td> <td>81.1</td> <td>37.0</td> <td>87.2</td> <td>55.5</td> </tr> <tr> <td>senegal</td> <td>81.2</td> <td>52.9</td> <td>89.2</td> <td>62.8</td> </tr> <tr> <td>guinea</td> <td>78.8</td> <td>37.1</td> <td>82.1</td> <td>59.4</td> </tr> </table>
[ [ "region or country of birth", "women", "", "men", "" ], [ "", "non-university or university postsecondary diploma", "university degree only", "non-university or university postsecondary diploma", "university degree only" ], [ "region of birth", "percent", "", "", "" ], [ "caribbean and latin america", "71.7", "17.8", "57.0", "15.2" ], [ "africa", "68.1", "31.5", "70.6", "41.8" ], [ "other regions", "70.9", "37.4", "65.5", "32.5" ], [ "country of birth", "", "", "", "" ], [ "jamaica", "73.4", "19.5", "52.1", "12.7" ], [ "haiti", "75.0", "15.6", "66.3", "20.3" ], [ "trinidad and tobago", "70.8", "21.9", "58.6", "13.0" ], [ "guyana", "67.3", "19.2", "58.6", "14.3" ], [ "barbados", "71.2", "17.6", "55.6", "14.4" ], [ "saint vincent and the grenadines", "56.2", "8.0", "37.9", "7.6" ], [ "grenada", "58.9", "10.1", "44.5", "7.0" ], [ "saint lucia", "57.0", "14.2", "43.0", "8.1" ], [ "united kingdom", "80.6", "36.6", "70.9", "28.6" ], [ "united states", "75.8", "42.6", "62.1", "32.2" ], [ "ethiopia", "51.3", "11.2", "52.0", "20.7" ], [ "somalia", "35.9", "12.4", "39.8", "16.0" ], [ "eritrea", "38.4", "6.8", "40.4", "13.2" ], [ "sudan", "48.7", "25.2", "52.4", "26.1" ], [ "south sudan", "38.2", "8.6", "51.8", "19.5" ], [ "burundi", "71.8", "34.4", "69.9", "39.9" ], [ "kenya", "81.5", "44.3", "78.4", "51.1" ], [ "zimbabwe", "83.3", "38.9", "82.9", "35.6" ], [ "rwanda", "78.1", "38.0", "72.8", "44.9" ], [ "democratic republic of the congo", "69.8", "22.0", "73.0", "36.2" ], [ "cameroon", "87.2", "55.6", "90.2", "67.4" ], [ "nigeria", "89.6", "62.2", "87.1", "67.6" ], [ "ghana", "69.3", "23.2", "68.3", "30.3" ], [ "cote d'ivoire", "81.1", "37.0", "87.2", "55.5" ], [ "senegal", "81.2", "52.9", "89.2", "62.8" ], [ "guinea", "78.8", "37.1", "82.1", "59.4" ] ]
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88d1459e99dabcc8efddd55b087dd2a6
1005
statcan
5783
1
among black immigrant women, the employment rate was higher for women born in the caribbean or in latin america than for women born in africa.
among black immigrant women, which region of birth has a higher the employment rate? women born in the caribbean or in latin america tor women born in africa?
['caribbean and latin america']
["pair-argmax"]
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["=A6"]
{"A6": "(3, 0)"}
<table border='1' cellpadding='4' cellspacing='0'> <tr> <td rowspan='2'>region or country of birth</td> <td colspan='2'>women</td> <td colspan='2'>men</td> </tr> <tr> <td>employment rate</td> <td>unemployment rate</td> <td>employment rate</td> <td>unemployment rate</td> </tr> <tr> <td>region of birth</td> <td colspan='4'>percent</td> </tr> <tr> <td>caribbean and latin america</td> <td>76.1</td> <td>8.7</td> <td>81.5</td> <td>8.2</td> </tr> <tr> <td>africa</td> <td>64.6</td> <td>12.5</td> <td>78.8</td> <td>10.8</td> </tr> <tr> <td>other regions</td> <td>69.9</td> <td>10.4</td> <td>78.0</td> <td>10.7</td> </tr> <tr> <td colspan='5'>country of birth</td> </tr> <tr> <td>jamaica</td> <td>77.7</td> <td>7.8</td> <td>81.9</td> <td>7.7</td> </tr> <tr> <td>haiti</td> <td>76.1</td> <td>9.7</td> <td>80.6</td> <td>9.3</td> </tr> <tr> <td>trinidad and tobago</td> <td>76.5</td> <td>7.7</td> <td>81.5</td> <td>7.5</td> </tr> <tr> <td>guyana</td> <td>75.4</td> <td>9.0</td> <td>82.9</td> <td>6.6</td> </tr> <tr> <td>barbados</td> <td>78.7</td> <td>6.0</td> <td>84.9</td> <td>7.0</td> </tr> <tr> <td>saint vincent and the grenadines</td> <td>65.3</td> <td>11.2</td> <td>76.0</td> <td>10.8</td> </tr> <tr> <td>grenada</td> <td>74.0</td> <td>10.6</td> <td>83.0</td> <td>7.4</td> </tr> <tr> <td>saint lucia</td> <td>72.1</td> <td>11.8</td> <td>81.3</td> <td>10.3</td> </tr> <tr> <td>united kingdom</td> <td>81.4</td> <td>7.0</td> <td>83.4</td> <td>7.6</td> </tr> <tr> <td>united states</td> <td>72.4</td> <td>8.9</td> <td>78.4</td> <td>9.8</td> </tr> <tr> <td>ethiopia</td> <td>65.4</td> <td>10.9</td> <td>82.0</td> <td>7.3</td> </tr> <tr> <td>somalia</td> <td>43.9</td> <td>17.1</td> <td>68.0</td> <td>13.7</td> </tr> <tr> <td>eritrea</td> <td>61.1</td> <td>12.2</td> <td>78.8</td> <td>10.5</td> </tr> <tr> <td>sudan</td> <td>45.9</td> <td>18.7</td> <td>74.7</td> <td>10.4</td> </tr> <tr> <td>south sudan</td> <td>59.4</td> <td>13.2</td> <td>70.1</td> <td>15.7</td> </tr> <tr> <td>burundi</td> <td>65.6</td> <td>12.5</td> <td>73.5</td> <td>13.2</td> </tr> <tr> <td>kenya</td> <td>75.2</td> <td>7.3</td> <td>82.4</td> <td>8.9</td> </tr> <tr> <td>zimbabwe</td> <td>82.4</td> <td>6.5</td> <td>85.0</td> <td>8.8</td> </tr> <tr> <td>rwanda</td> <td>67.8</td> <td>11.1</td> <td>81.7</td> <td>10.3</td> </tr> <tr> <td>democratic republic of the congo</td> <td>61.6</td> <td>13.7</td> <td>74.2</td> <td>13.7</td> </tr> <tr> <td>cameroon</td> <td>65.8</td> <td>14.9</td> <td>78.7</td> <td>12.5</td> </tr> <tr> <td>nigeria</td> <td>69.9</td> <td>12.7</td> <td>80.4</td> <td>11.3</td> </tr> <tr> <td>ghana</td> <td>71.6</td> <td>10.4</td> <td>83.5</td> <td>8.0</td> </tr> <tr> <td>cote d'ivoire</td> <td>64.9</td> <td>13.6</td> <td>78.2</td> <td>12.4</td> </tr> <tr> <td>senegal</td> <td>70.1</td> <td>11.4</td> <td>83.6</td> <td>9.7</td> </tr> <tr> <td>guinea</td> <td>66.7</td> <td>13.9</td> <td>77.9</td> <td>12.2</td> </tr> </table>
[ [ "region or country of birth", "women", "", "men", "" ], [ "", "employment rate", "unemployment rate", "employment rate", "unemployment rate" ], [ "region of birth", "percent", "", "", "" ], [ "caribbean and latin america", "76.1", "8.7", "81.5", "8.2" ], [ "africa", "64.6", "12.5", "78.8", "10.8" ], [ "other regions", "69.9", "10.4", "78.0", "10.7" ], [ "country of birth", "", "", "", "" ], [ "jamaica", "77.7", "7.8", "81.9", "7.7" ], [ "haiti", "76.1", "9.7", "80.6", "9.3" ], [ "trinidad and tobago", "76.5", "7.7", "81.5", "7.5" ], [ "guyana", "75.4", "9.0", "82.9", "6.6" ], [ "barbados", "78.7", "6.0", "84.9", "7.0" ], [ "saint vincent and the grenadines", "65.3", "11.2", "76.0", "10.8" ], [ "grenada", "74.0", "10.6", "83.0", "7.4" ], [ "saint lucia", "72.1", "11.8", "81.3", "10.3" ], [ "united kingdom", "81.4", "7.0", "83.4", "7.6" ], [ "united states", "72.4", "8.9", "78.4", "9.8" ], [ "ethiopia", "65.4", "10.9", "82.0", "7.3" ], [ "somalia", "43.9", "17.1", "68.0", "13.7" ], [ "eritrea", "61.1", "12.2", "78.8", "10.5" ], [ "sudan", "45.9", "18.7", "74.7", "10.4" ], [ "south sudan", "59.4", "13.2", "70.1", "15.7" ], [ "burundi", "65.6", "12.5", "73.5", "13.2" ], [ "kenya", "75.2", "7.3", "82.4", "8.9" ], [ "zimbabwe", "82.4", "6.5", "85.0", "8.8" ], [ "rwanda", "67.8", "11.1", "81.7", "10.3" ], [ "democratic republic of the congo", "61.6", "13.7", "74.2", "13.7" ], [ "cameroon", "65.8", "14.9", "78.7", "12.5" ], [ "nigeria", "69.9", "12.7", "80.4", "11.3" ], [ "ghana", "71.6", "10.4", "83.5", "8.0" ], [ "cote d'ivoire", "64.9", "13.6", "78.2", "12.4" ], [ "senegal", "70.1", "11.4", "83.6", "9.7" ], [ "guinea", "66.7", "13.9", "77.9", "12.2" ] ]
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76.0}, {"value": 10.8}], [{"value": 74.0}, {"value": 10.6}, {"value": 83.0}, {"value": 7.4}], [{"value": 72.1}, {"value": 11.8}, {"value": 81.3}, {"value": 10.3}], [{"value": 81.4}, {"value": 7.0}, {"value": 83.4}, {"value": 7.6}], [{"value": 72.4}, {"value": 8.9}, {"value": 78.4}, {"value": 9.8}], [{"value": 65.4}, {"value": 10.9}, {"value": 82.0}, {"value": 7.3}], [{"value": 43.9}, {"value": 17.1}, {"value": 68.0}, {"value": 13.7}], [{"value": 61.1}, {"value": 12.2}, {"value": 78.8}, {"value": 10.5}], [{"value": 45.9}, {"value": 18.7}, {"value": 74.7}, {"value": 10.4}], [{"value": 59.4}, {"value": 13.2}, {"value": 70.1}, {"value": 15.7}], [{"value": 65.6}, {"value": 12.5}, {"value": 73.5}, {"value": 13.2}], [{"value": 75.2}, {"value": 7.3}, {"value": 82.4}, {"value": 8.9}], [{"value": 82.4}, {"value": 6.5}, {"value": 85.0}, {"value": 8.8}], [{"value": 67.8}, {"value": 11.1}, {"value": 81.7}, {"value": 10.3}], [{"value": 61.6}, {"value": 13.7}, {"value": 74.2}, {"value": 13.7}], [{"value": 65.8}, {"value": 14.9}, {"value": 78.7}, {"value": 12.5}], [{"value": 69.9}, {"value": 12.7}, {"value": 80.4}, {"value": 11.3}], [{"value": 71.6}, {"value": 10.4}, {"value": 83.5}, {"value": 8.0}], [{"value": 64.9}, {"value": 13.6}, {"value": 78.2}, {"value": 12.4}], [{"value": 70.1}, {"value": 11.4}, {"value": 83.6}, {"value": 9.7}], [{"value": 66.7}, {"value": 13.9}, {"value": 77.9}, {"value": 12.2}]]}
5a4282c6be891490fcc018c2cba63deb
1005
statcan
5785
1
among women, immigrants from somalia, sudan, the democratic republic of the congo and nigeria had the lowest employment rates.
which top 4 countries of birth had the lowest the lowest employment rates?
['democratic republic of the congo', 'nigeria', 'somalia', 'sudan']
["topk-argmin"]
{"entity_link": {"top": {"women": {"(0, 1)": "women"}, "employment rates": {"(1, 1)": "employment rate"}}, "left": {"[ANSWER]": {"(26, 0)": "democratic republic of the congo", "(28, 0)": "nigeria", "(18, 0)": "somalia", "(20, 0)": "sudan"}}, "top_left_corner": {}}, "quantity_link": {}}
["=A29", "=A31", "=A21", "=A23"]
{"A29": "(26, 0)", "A31": "(28, 0)", "A21": "(18, 0)", "A23": "(20, 0)"}
<table border='1' cellpadding='4' cellspacing='0'> <tr> <td rowspan='2'>region or country of birth</td> <td colspan='2'>women</td> <td colspan='2'>men</td> </tr> <tr> <td>employment rate</td> <td>unemployment rate</td> <td>employment rate</td> <td>unemployment rate</td> </tr> <tr> <td>region of birth</td> <td colspan='4'>percent</td> </tr> <tr> <td>caribbean and latin america</td> <td>76.1</td> <td>8.7</td> <td>81.5</td> <td>8.2</td> </tr> <tr> <td>africa</td> <td>64.6</td> <td>12.5</td> <td>78.8</td> <td>10.8</td> </tr> <tr> <td>other regions</td> <td>69.9</td> <td>10.4</td> <td>78.0</td> <td>10.7</td> </tr> <tr> <td colspan='5'>country of birth</td> </tr> <tr> <td>jamaica</td> <td>77.7</td> <td>7.8</td> <td>81.9</td> <td>7.7</td> </tr> <tr> <td>haiti</td> <td>76.1</td> <td>9.7</td> <td>80.6</td> <td>9.3</td> </tr> <tr> <td>trinidad and tobago</td> <td>76.5</td> <td>7.7</td> <td>81.5</td> <td>7.5</td> </tr> <tr> <td>guyana</td> <td>75.4</td> <td>9.0</td> <td>82.9</td> <td>6.6</td> </tr> <tr> <td>barbados</td> <td>78.7</td> <td>6.0</td> <td>84.9</td> <td>7.0</td> </tr> <tr> <td>saint vincent and the grenadines</td> <td>65.3</td> <td>11.2</td> <td>76.0</td> <td>10.8</td> </tr> <tr> <td>grenada</td> <td>74.0</td> <td>10.6</td> <td>83.0</td> <td>7.4</td> </tr> <tr> <td>saint lucia</td> <td>72.1</td> <td>11.8</td> <td>81.3</td> <td>10.3</td> </tr> <tr> <td>united kingdom</td> <td>81.4</td> <td>7.0</td> <td>83.4</td> <td>7.6</td> </tr> <tr> <td>united states</td> <td>72.4</td> <td>8.9</td> <td>78.4</td> <td>9.8</td> </tr> <tr> <td>ethiopia</td> <td>65.4</td> <td>10.9</td> <td>82.0</td> <td>7.3</td> </tr> <tr> <td>somalia</td> <td>43.9</td> <td>17.1</td> <td>68.0</td> <td>13.7</td> </tr> <tr> <td>eritrea</td> <td>61.1</td> <td>12.2</td> <td>78.8</td> <td>10.5</td> </tr> <tr> <td>sudan</td> <td>45.9</td> <td>18.7</td> <td>74.7</td> <td>10.4</td> </tr> <tr> <td>south sudan</td> <td>59.4</td> <td>13.2</td> <td>70.1</td> <td>15.7</td> </tr> <tr> <td>burundi</td> <td>65.6</td> <td>12.5</td> <td>73.5</td> <td>13.2</td> </tr> <tr> <td>kenya</td> <td>75.2</td> <td>7.3</td> <td>82.4</td> <td>8.9</td> </tr> <tr> <td>zimbabwe</td> <td>82.4</td> <td>6.5</td> <td>85.0</td> <td>8.8</td> </tr> <tr> <td>rwanda</td> <td>67.8</td> <td>11.1</td> <td>81.7</td> <td>10.3</td> </tr> <tr> <td>democratic republic of the congo</td> <td>61.6</td> <td>13.7</td> <td>74.2</td> <td>13.7</td> </tr> <tr> <td>cameroon</td> <td>65.8</td> <td>14.9</td> <td>78.7</td> <td>12.5</td> </tr> <tr> <td>nigeria</td> <td>69.9</td> <td>12.7</td> <td>80.4</td> <td>11.3</td> </tr> <tr> <td>ghana</td> <td>71.6</td> <td>10.4</td> <td>83.5</td> <td>8.0</td> </tr> <tr> <td>cote d'ivoire</td> <td>64.9</td> <td>13.6</td> <td>78.2</td> <td>12.4</td> </tr> <tr> <td>senegal</td> <td>70.1</td> <td>11.4</td> <td>83.6</td> <td>9.7</td> </tr> <tr> <td>guinea</td> <td>66.7</td> <td>13.9</td> <td>77.9</td> <td>12.2</td> </tr> </table>
[ [ "region or country of birth", "women", "", "men", "" ], [ "", "employment rate", "unemployment rate", "employment rate", "unemployment rate" ], [ "region of birth", "percent", "", "", "" ], [ "caribbean and latin america", "76.1", "8.7", "81.5", "8.2" ], [ "africa", "64.6", "12.5", "78.8", "10.8" ], [ "other regions", "69.9", "10.4", "78.0", "10.7" ], [ "country of birth", "", "", "", "" ], [ "jamaica", "77.7", "7.8", "81.9", "7.7" ], [ "haiti", "76.1", "9.7", "80.6", "9.3" ], [ "trinidad and tobago", "76.5", "7.7", "81.5", "7.5" ], [ "guyana", "75.4", "9.0", "82.9", "6.6" ], [ "barbados", "78.7", "6.0", "84.9", "7.0" ], [ "saint vincent and the grenadines", "65.3", "11.2", "76.0", "10.8" ], [ "grenada", "74.0", "10.6", "83.0", "7.4" ], [ "saint lucia", "72.1", "11.8", "81.3", "10.3" ], [ "united kingdom", "81.4", "7.0", "83.4", "7.6" ], [ "united states", "72.4", "8.9", "78.4", "9.8" ], [ "ethiopia", "65.4", "10.9", "82.0", "7.3" ], [ "somalia", "43.9", "17.1", "68.0", "13.7" ], [ "eritrea", "61.1", "12.2", "78.8", "10.5" ], [ "sudan", "45.9", "18.7", "74.7", "10.4" ], [ "south sudan", "59.4", "13.2", "70.1", "15.7" ], [ "burundi", "65.6", "12.5", "73.5", "13.2" ], [ "kenya", "75.2", "7.3", "82.4", "8.9" ], [ "zimbabwe", "82.4", "6.5", "85.0", "8.8" ], [ "rwanda", "67.8", "11.1", "81.7", "10.3" ], [ "democratic republic of the congo", "61.6", "13.7", "74.2", "13.7" ], [ "cameroon", "65.8", "14.9", "78.7", "12.5" ], [ "nigeria", "69.9", "12.7", "80.4", "11.3" ], [ "ghana", "71.6", "10.4", "83.5", "8.0" ], [ "cote d'ivoire", "64.9", "13.6", "78.2", "12.4" ], [ "senegal", "70.1", "11.4", "83.6", "9.7" ], [ "guinea", "66.7", "13.9", "77.9", "12.2" ] ]
{"title": "employment and unemployment rates (expressed as percentages) of black immigrant populations aged 25 to 59, by sex and country of birth, canada, 2016", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "women", "value": "women", "type": "string", "children_dict": [{"name": "employment rate", "value": "employment rate", "type": "string", "children_dict": [], "line_idx": 0}, {"name": "unemployment rate", "value": "unemployment rate", "type": "string", "children_dict": [], "line_idx": 1}], "line_idx": null}, {"name": "men", "value": "men", "type": "string", "children_dict": [{"name": "employment rate", "value": "employment rate", "type": "string", "children_dict": [], "line_idx": 2}, {"name": "unemployment rate", "value": "unemployment rate", "type": "string", "children_dict": [], "line_idx": 3}], "line_idx": null}]}, "left_root": {"name": "<LEFT>", "value": "<LEFT>", "type": "string", "line_idx": null, "children_dict": [{"name": "region of birth", "value": "region of birth", "type": "string", "children_dict": [{"name": "caribbean and latin america", "value": "caribbean and latin america", "type": "string", "children_dict": [], "line_idx": 1}, {"name": "africa", "value": "africa", "type": "string", "children_dict": [], "line_idx": 2}, {"name": "other regions", "value": "other regions", "type": "string", "children_dict": [], "line_idx": 3}], "line_idx": 0}, {"name": "country of birth", "value": "country of birth", "type": "string", "children_dict": [{"name": "jamaica", "value": "jamaica", "type": "string", "children_dict": [], "line_idx": 5}, {"name": "haiti", "value": "haiti", "type": "string", "children_dict": [], "line_idx": 6}, {"name": "trinidad and tobago", "value": "trinidad and tobago", "type": "string", "children_dict": [], "line_idx": 7}, {"name": "guyana", "value": "guyana", "type": "string", "children_dict": [], "line_idx": 8}, {"name": "barbados", "value": "barbados", "type": "string", "children_dict": [], "line_idx": 9}, {"name": "saint vincent and the grenadines", "value": "saint vincent and the grenadines", "type": "string", "children_dict": [], "line_idx": 10}, {"name": "grenada", "value": "grenada", "type": "string", "children_dict": [], "line_idx": 11}, {"name": "saint lucia", "value": "saint lucia", "type": "string", "children_dict": [], "line_idx": 12}, {"name": "united kingdom", "value": "united kingdom", "type": "string", "children_dict": [], "line_idx": 13}, {"name": "united states", "value": "united states", "type": "string", "children_dict": [], "line_idx": 14}, {"name": "ethiopia", "value": "ethiopia", "type": "string", "children_dict": [], "line_idx": 15}, {"name": "somalia", "value": "somalia", "type": "string", "children_dict": [], "line_idx": 16}, {"name": "eritrea", "value": "eritrea", "type": "string", "children_dict": [], "line_idx": 17}, {"name": "sudan", "value": "sudan", "type": "string", "children_dict": [], "line_idx": 18}, {"name": "south sudan", "value": "south sudan", "type": "string", "children_dict": [], "line_idx": 19}, {"name": "burundi", "value": "burundi", "type": "string", "children_dict": [], "line_idx": 20}, {"name": "kenya", "value": "kenya", "type": "string", "children_dict": [], "line_idx": 21}, {"name": "zimbabwe", "value": "zimbabwe", "type": "string", "children_dict": [], "line_idx": 22}, {"name": "rwanda", "value": "rwanda", "type": "string", "children_dict": [], "line_idx": 23}, {"name": "democratic republic of the congo", "value": "democratic republic of the congo", "type": "string", "children_dict": [], "line_idx": 24}, {"name": "cameroon", "value": "cameroon", "type": "string", "children_dict": [], "line_idx": 25}, {"name": "nigeria", "value": "nigeria", "type": "string", "children_dict": [], "line_idx": 26}, {"name": "ghana", "value": "ghana", "type": "string", "children_dict": [], "line_idx": 27}, {"name": "cote d'ivoire", "value": "cote d'ivoire", "type": "string", "children_dict": [], "line_idx": 28}, {"name": "senegal", "value": "senegal", "type": "string", "children_dict": [], "line_idx": 29}, {"name": "guinea", "value": "guinea", "type": "string", "children_dict": [], "line_idx": 30}], "line_idx": 4}]}, "data": [[{"value": "percent"}, {"value": "percent"}, {"value": "percent"}, {"value": "percent"}], [{"value": 76.1}, {"value": 8.7}, {"value": 81.5}, {"value": 8.2}], [{"value": 64.6}, {"value": 12.5}, {"value": 78.8}, {"value": 10.8}], [{"value": 69.9}, {"value": 10.4}, {"value": 78.0}, {"value": 10.7}], [{"value": ""}, {"value": ""}, {"value": ""}, {"value": ""}], [{"value": 77.7}, {"value": 7.8}, {"value": 81.9}, {"value": 7.7}], [{"value": 76.1}, {"value": 9.7}, {"value": 80.6}, {"value": 9.3}], [{"value": 76.5}, {"value": 7.7}, {"value": 81.5}, {"value": 7.5}], [{"value": 75.4}, {"value": 9.0}, {"value": 82.9}, {"value": 6.6}], [{"value": 78.7}, {"value": 6.0}, {"value": 84.9}, {"value": 7.0}], [{"value": 65.3}, {"value": 11.2}, {"value": 76.0}, {"value": 10.8}], [{"value": 74.0}, {"value": 10.6}, {"value": 83.0}, {"value": 7.4}], [{"value": 72.1}, {"value": 11.8}, {"value": 81.3}, {"value": 10.3}], [{"value": 81.4}, {"value": 7.0}, {"value": 83.4}, {"value": 7.6}], [{"value": 72.4}, {"value": 8.9}, {"value": 78.4}, {"value": 9.8}], [{"value": 65.4}, {"value": 10.9}, {"value": 82.0}, {"value": 7.3}], [{"value": 43.9}, {"value": 17.1}, {"value": 68.0}, {"value": 13.7}], [{"value": 61.1}, {"value": 12.2}, {"value": 78.8}, {"value": 10.5}], [{"value": 45.9}, {"value": 18.7}, {"value": 74.7}, {"value": 10.4}], [{"value": 59.4}, {"value": 13.2}, {"value": 70.1}, {"value": 15.7}], [{"value": 65.6}, {"value": 12.5}, {"value": 73.5}, {"value": 13.2}], [{"value": 75.2}, {"value": 7.3}, {"value": 82.4}, {"value": 8.9}], [{"value": 82.4}, {"value": 6.5}, {"value": 85.0}, {"value": 8.8}], [{"value": 67.8}, {"value": 11.1}, {"value": 81.7}, {"value": 10.3}], [{"value": 61.6}, {"value": 13.7}, {"value": 74.2}, {"value": 13.7}], [{"value": 65.8}, {"value": 14.9}, {"value": 78.7}, {"value": 12.5}], [{"value": 69.9}, {"value": 12.7}, {"value": 80.4}, {"value": 11.3}], [{"value": 71.6}, {"value": 10.4}, {"value": 83.5}, {"value": 8.0}], [{"value": 64.9}, {"value": 13.6}, {"value": 78.2}, {"value": 12.4}], [{"value": 70.1}, {"value": 11.4}, {"value": 83.6}, {"value": 9.7}], [{"value": 66.7}, {"value": 13.9}, {"value": 77.9}, {"value": 12.2}]]}
d197945e0b0a3e7db1face7153fa0e1a
1006
statcan
5791
1
unemployment was higher d for women whose region of ancestry was africa than those in caribbean and latin america.
which region of ancestry has a higher uunemployment? women whose region of ancestry was africa or those in caribbean and latin america?
['women']
["pair-argmax"]
{"entity_link": {"top": {"unemployment": {"(1, 2)": "unemployment rate"}, "[ANSWER]": {"(0, 1)": "women"}}, "left": {"africa": {"(5, 0)": "africa"}, "in caribbean and latin america": {"(4, 0)": "caribbean and latin america"}}, "top_left_corner": {"region of ancestry": {"(0, 0)": "region or country of ancestry"}}}, "quantity_link": {}}
["=B3"]
{"B3": "(0, 1)"}
<table border='1' cellpadding='4' cellspacing='0'> <tr> <td rowspan='3'>region or country of ancestry</td> <td colspan='2'>women</td> <td colspan='2'>men</td> </tr> <tr> <td>employment rate</td> <td>unemployment rate</td> <td>employment rate</td> <td>unemployment rate</td> </tr> <tr> <td colspan='4'>percent</td> </tr> <tr> <td colspan='5'>region of ancestry</td> </tr> <tr> <td>caribbean and latin america</td> <td>78.3</td> <td>8.0</td> <td>77.3</td> <td>10.8</td> </tr> <tr> <td>africa</td> <td>75.8</td> <td>9.6</td> <td>73.9</td> <td>11.3</td> </tr> <tr> <td>other regions</td> <td>75.9</td> <td>8.1</td> <td>77.1</td> <td>9.6</td> </tr> <tr> <td colspan='5'>country of ancestry</td> </tr> <tr> <td>jamaica</td> <td>76.1</td> <td>9.0</td> <td>75.5</td> <td>11.3</td> </tr> <tr> <td>haiti</td> <td>81.1</td> <td>7.1</td> <td>76.2</td> <td>11.6</td> </tr> <tr> <td>trinidad and tobago</td> <td>78.6</td> <td>7.4</td> <td>80.4</td> <td>10.0</td> </tr> <tr> <td>barbados</td> <td>81.9</td> <td>5.6</td> <td>82.6</td> <td>8.3</td> </tr> <tr> <td>guyana</td> <td>78.0</td> <td>7.5</td> <td>79.5</td> <td>11.1</td> </tr> <tr> <td>saint vincent and the grenadines</td> <td>78.8</td> <td>6.6</td> <td>77.3</td> <td>13.3</td> </tr> <tr> <td>grenada</td> <td>76.7</td> <td>10.6</td> <td>81.5</td> <td>8.8</td> </tr> <tr> <td>ghana</td> <td>75.5</td> <td>10.3</td> <td>79.4</td> <td>8.6</td> </tr> <tr> <td>nigeria</td> <td>76.9</td> <td>7.3</td> <td>78.4</td> <td>8.3</td> </tr> <tr> <td>united states</td> <td>72.0</td> <td>9.9</td> <td>76.9</td> <td>9.8</td> </tr> <tr> <td>united kingdom</td> <td>79.1</td> <td>7.6</td> <td>76.7</td> <td>9.6</td> </tr> <tr> <td>canada</td> <td>66.7</td> <td>9.3</td> <td>70.0</td> <td>11.8</td> </tr> </table>
[ [ "region or country of ancestry", "women", "", "men", "" ], [ "", "employment rate", "unemployment rate", "employment rate", "unemployment rate" ], [ "", "percent", "", "", "" ], [ "region of ancestry", "", "", "", "" ], [ "caribbean and latin america", "78.3", "8.0", "77.3", "10.8" ], [ "africa", "75.8", "9.6", "73.9", "11.3" ], [ "other regions", "75.9", "8.1", "77.1", "9.6" ], [ "country of ancestry", "", "", "", "" ], [ "jamaica", "76.1", "9.0", "75.5", "11.3" ], [ "haiti", "81.1", "7.1", "76.2", "11.6" ], [ "trinidad and tobago", "78.6", "7.4", "80.4", "10.0" ], [ "barbados", "81.9", "5.6", "82.6", "8.3" ], [ "guyana", "78.0", "7.5", "79.5", "11.1" ], [ "saint vincent and the grenadines", "78.8", "6.6", "77.3", "13.3" ], [ "grenada", "76.7", "10.6", "81.5", "8.8" ], [ "ghana", "75.5", "10.3", "79.4", "8.6" ], [ "nigeria", "76.9", "7.3", "78.4", "8.3" ], [ "united states", "72.0", "9.9", "76.9", "9.8" ], [ "united kingdom", "79.1", "7.6", "76.7", "9.6" ], [ "canada", "66.7", "9.3", "70.0", "11.8" ] ]
{"title": "employment and unemployment rates (expressed as percentages) of the canadian-born black population aged 25 to 59, by sex and country of ancestry, 2016", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "women", "value": "women", "type": "string", "children_dict": [{"name": "employment rate", "value": "employment rate", "type": "string", "children_dict": [], "line_idx": 0}, {"name": "unemployment rate", "value": "unemployment rate", "type": "string", "children_dict": [], "line_idx": 1}], "line_idx": null}, {"name": "men", "value": "men", "type": "string", "children_dict": [{"name": "employment rate", "value": "employment rate", "type": "string", "children_dict": [], "line_idx": 2}, {"name": "unemployment rate", "value": "unemployment rate", "type": "string", "children_dict": [], "line_idx": 3}], "line_idx": null}]}, "left_root": {"name": "<LEFT>", "value": "<LEFT>", "type": "string", "line_idx": null, "children_dict": [{"name": "percent", "value": "percent", "type": "string", "children_dict": [{"name": "region of ancestry", "value": "region of ancestry", "type": "string", "children_dict": [{"name": "caribbean and latin america", "value": "caribbean and latin america", "type": "string", "children_dict": [], "line_idx": 1}, {"name": "africa", "value": "africa", "type": "string", "children_dict": [], "line_idx": 2}, {"name": "other regions", "value": "other regions", "type": "string", "children_dict": [], "line_idx": 3}], "line_idx": 0}, {"name": "country of ancestry", "value": "country of ancestry", "type": "string", "children_dict": [{"name": "jamaica", "value": "jamaica", "type": "string", "children_dict": [], "line_idx": 5}, {"name": "haiti", "value": "haiti", "type": "string", "children_dict": [], "line_idx": 6}, {"name": "trinidad and tobago", "value": "trinidad and tobago", "type": "string", "children_dict": [], "line_idx": 7}, {"name": "barbados", "value": "barbados", "type": "string", "children_dict": [], "line_idx": 8}, {"name": "guyana", "value": "guyana", "type": "string", "children_dict": [], "line_idx": 9}, {"name": "saint vincent and the grenadines", "value": "saint vincent and the grenadines", "type": "string", "children_dict": [], "line_idx": 10}, {"name": "grenada", "value": "grenada", "type": "string", "children_dict": [], "line_idx": 11}, {"name": "ghana", "value": "ghana", "type": "string", "children_dict": [], "line_idx": 12}, {"name": "nigeria", "value": "nigeria", "type": "string", "children_dict": [], "line_idx": 13}, {"name": "united states", "value": "united states", "type": "string", "children_dict": [], "line_idx": 14}, {"name": "united kingdom", "value": "united kingdom", "type": "string", "children_dict": [], "line_idx": 15}, {"name": "canada", "value": "canada", "type": "string", "children_dict": [], "line_idx": 16}], "line_idx": 4}], "line_idx": null}]}, "data": [[{"value": ""}, {"value": ""}, {"value": ""}, {"value": ""}], [{"value": 78.3}, {"value": 8.0}, {"value": 77.3}, {"value": 10.8}], [{"value": 75.8}, {"value": 9.6}, {"value": 73.9}, {"value": 11.3}], [{"value": 75.9}, {"value": 8.1}, {"value": 77.1}, {"value": 9.6}], [{"value": ""}, {"value": ""}, {"value": ""}, {"value": ""}], [{"value": 76.1}, {"value": 9.0}, {"value": 75.5}, {"value": 11.3}], [{"value": 81.1}, {"value": 7.1}, {"value": 76.2}, {"value": 11.6}], [{"value": 78.6}, {"value": 7.4}, {"value": 80.4}, {"value": 10.0}], [{"value": 81.9}, {"value": 5.6}, {"value": 82.6}, {"value": 8.3}], [{"value": 78.0}, {"value": 7.5}, {"value": 79.5}, {"value": 11.1}], [{"value": 78.8}, {"value": 6.6}, {"value": 77.3}, {"value": 13.3}], [{"value": 76.7}, {"value": 10.6}, {"value": 81.5}, {"value": 8.8}], [{"value": 75.5}, {"value": 10.3}, {"value": 79.4}, {"value": 8.6}], [{"value": 76.9}, {"value": 7.3}, {"value": 78.4}, {"value": 8.3}], [{"value": 72.0}, {"value": 9.9}, {"value": 76.9}, {"value": 9.8}], [{"value": 79.1}, {"value": 7.6}, {"value": 76.7}, {"value": 9.6}], [{"value": 66.7}, {"value": 9.3}, {"value": 70.0}, {"value": 11.8}]]}
2c4b9acc4e415d3b25bc80c695925abb
1007
statcan
5792
1
black female workers were mostly concentrated in the health care and social assistance sector.
which sector has the most black female workers?
['health care and social assistance']
["argmax"]
{"entity_link": {"top": {"black female workers": {"(0, 1)": "black female workers"}}, "left": {"[ANSWER]": {"(17, 0)": "health care and social assistance"}}, "top_left_corner": {"sector": {"(0, 0)": "sector"}}}, "quantity_link": {}}
["=A20"]
{"A20": "(17, 0)"}
<table border='1' cellpadding='4' cellspacing='0'> <tr> <td rowspan='3'>sector</td> <td colspan='4'>black female workers</td> <td colspan='4'>other female workers</td> </tr> <tr> <td>immigrant</td> <td>second generation</td> <td>third generation or more</td> <td>total</td> <td>immigrant</td> <td>second generation</td> <td>third generation or more</td> <td>total</td> </tr> <tr> <td colspan='8'>percent</td> </tr> <tr> <td>agriculture, forestry, fishing and hunting</td> <td>0.2</td> <td>0.1</td> <td>0.5</td> <td>0.2</td> <td>1.0</td> <td>1.0</td> <td>1.5</td> <td>1.3</td> </tr> <tr> <td>mining, quarrying, and oil and gas extraction</td> <td>0.3</td> <td>0.2</td> <td>0.4</td> <td>0.3</td> <td>0.5</td> <td>0.6</td> <td>0.8</td> <td>0.7</td> </tr> <tr> <td>utilities</td> <td>0.2</td> <td>0.3</td> <td>0.1</td> <td>0.2</td> <td>0.3</td> <td>0.5</td> <td>0.5</td> <td>0.5</td> </tr> <tr> <td>construction</td> <td>0.7</td> <td>1.0</td> <td>1.3</td> <td>0.8</td> <td>1.7</td> <td>2.2</td> <td>2.3</td> <td>2.1</td> </tr> <tr> <td>manufacturing</td> <td>5.4</td> <td>2.8</td> <td>4.0</td> <td>4.8</td> <td>7.9</td> <td>4.1</td> <td>4.9</td> <td>5.5</td> </tr> <tr> <td>wholesale trade</td> <td>2.0</td> <td>2.5</td> <td>2.0</td> <td>2.1</td> <td>3.3</td> <td>3.0</td> <td>2.4</td> <td>2.7</td> </tr> <tr> <td>retail trade</td> <td>7.5</td> <td>9.7</td> <td>11.9</td> <td>8.3</td> <td>11.1</td> <td>9.7</td> <td>10.8</td> <td>10.7</td> </tr> <tr> <td>transportation and warehousing</td> <td>2.7</td> <td>3.3</td> <td>3.3</td> <td>2.9</td> <td>2.8</td> <td>2.8</td> <td>2.7</td> <td>2.7</td> </tr> <tr> <td>information and cultural industries</td> <td>1.6</td> <td>3.8</td> <td>2.6</td> <td>2.1</td> <td>1.9</td> <td>2.7</td> <td>2.0</td> <td>2.1</td> </tr> <tr> <td>finance and insurance</td> <td>5.8</td> <td>7.9</td> <td>4.4</td> <td>6.2</td> <td>6.9</td> <td>7.1</td> <td>5.2</td> <td>5.9</td> </tr> <tr> <td>real estate and rental and leasing</td> <td>1.1</td> <td>1.6</td> <td>1.4</td> <td>1.2</td> <td>2.2</td> <td>2.1</td> <td>1.4</td> <td>1.7</td> </tr> <tr> <td>professional, scientific and technical services</td> <td>4.6</td> <td>8.4</td> <td>4.7</td> <td>5.4</td> <td>8.7</td> <td>9.2</td> <td>6.7</td> <td>7.6</td> </tr> <tr> <td>administrative and support, waste management and remediation services</td> <td>7.9</td> <td>5.6</td> <td>6.5</td> <td>7.6</td> <td>5.1</td> <td>3.5</td> <td>3.5</td> <td>3.9</td> </tr> <tr> <td>educational services</td> <td>6.9</td> <td>9.8</td> <td>8.5</td> <td>7.6</td> <td>8.1</td> <td>14.2</td> <td>12.3</td> <td>11.6</td> </tr> <tr> <td>health care and social assistance</td> <td>36.6</td> <td>24.0</td> <td>23.5</td> <td>32.8</td> <td>19.0</td> <td>19.1</td> <td>22.7</td> <td>21.1</td> </tr> <tr> <td>arts, entertainment and recreation</td> <td>0.9</td> <td>2.1</td> <td>2.4</td> <td>1.2</td> <td>1.3</td> <td>2.1</td> <td>1.9</td> <td>1.8</td> </tr> <tr> <td>accommodation and food services</td> <td>5.5</td> <td>4.6</td> <td>9.5</td> <td>5.7</td> <td>8.7</td> <td>4.4</td> <td>5.6</td> <td>6.3</td> </tr> <tr> <td>other services</td> <td>4.2</td> <td>4.1</td> <td>5.1</td> <td>4.3</td> <td>5.8</td> <td>4.4</td> <td>4.9</td> <td>5.1</td> </tr> <tr> <td>public administration</td> <td>5.9</td> <td>8.2</td> <td>8.0</td> <td>6.3</td> <td>3.7</td> <td>7.2</td> <td>8.0</td> <td>6.8</td> </tr> <tr> <td>total</td> <td>100.0</td> <td>100.0</td> <td>100.0</td> <td>100.0</td> <td>100.0</td> <td>100.0</td> <td>100.0</td> <td>100.0</td> </tr> </table>
[ [ "sector", "black female workers", "", "", "", "other female workers", "", "", "" ], [ "", "immigrant", "second generation", "third generation or more", "total", "immigrant", "second generation", "third generation or more", "total" ], [ "", "percent", "", "", "", "", "", "", "" ], [ "agriculture, forestry, fishing and hunting", "0.2", "0.1", "0.5", "0.2", "1.0", "1.0", "1.5", "1.3" ], [ "mining, quarrying, and oil and gas extraction", "0.3", "0.2", "0.4", "0.3", "0.5", "0.6", "0.8", "0.7" ], [ "utilities", "0.2", "0.3", "0.1", "0.2", "0.3", "0.5", "0.5", "0.5" ], [ "construction", "0.7", "1.0", "1.3", "0.8", "1.7", "2.2", "2.3", "2.1" ], [ "manufacturing", "5.4", "2.8", "4.0", "4.8", "7.9", "4.1", "4.9", "5.5" ], [ "wholesale trade", "2.0", "2.5", "2.0", "2.1", "3.3", "3.0", "2.4", "2.7" ], [ "retail trade", "7.5", "9.7", "11.9", "8.3", "11.1", "9.7", "10.8", "10.7" ], [ "transportation and warehousing", "2.7", "3.3", "3.3", "2.9", "2.8", "2.8", "2.7", "2.7" ], [ "information and cultural industries", "1.6", "3.8", "2.6", "2.1", "1.9", "2.7", "2.0", "2.1" ], [ "finance and insurance", "5.8", "7.9", "4.4", "6.2", "6.9", "7.1", "5.2", "5.9" ], [ "real estate and rental and leasing", "1.1", "1.6", "1.4", "1.2", "2.2", "2.1", "1.4", "1.7" ], [ "professional, scientific and technical services", "4.6", "8.4", "4.7", "5.4", "8.7", "9.2", "6.7", "7.6" ], [ "administrative and support, waste management and remediation services", "7.9", "5.6", "6.5", "7.6", "5.1", "3.5", "3.5", "3.9" ], [ "educational services", "6.9", "9.8", "8.5", "7.6", "8.1", "14.2", "12.3", "11.6" ], [ "health care and social assistance", "36.6", "24.0", "23.5", "32.8", "19.0", "19.1", "22.7", "21.1" ], [ "arts, entertainment and recreation", "0.9", "2.1", "2.4", "1.2", "1.3", "2.1", "1.9", "1.8" ], [ "accommodation and food services", "5.5", "4.6", "9.5", "5.7", "8.7", "4.4", "5.6", "6.3" ], [ "other services", "4.2", "4.1", "5.1", "4.3", "5.8", "4.4", "4.9", "5.1" ], [ "public administration", "5.9", "8.2", "8.0", "6.3", "3.7", "7.2", "8.0", "6.8" ], [ "total", "100.0", "100.0", "100.0", "100.0", "100.0", "100.0", "100.0", "100.0" ] ]
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a26ae67eff821dd8815180d2473d1f3a
1007
statcan
5792
2
black female workers in the health care and social assistance sector are 12 percentage points higher than the rest of the employed female population.
which sector has the most black female workers?
[11.7]
["diff"]
{"entity_link": {"top": {"black female workers": {"(0, 1)": "black female workers"}, "the rest of the employed female population": {"(0, 5)": "other female workers"}}, "left": {"health care and social assistance sector": {"(17, 0)": "health care and social assistance"}}, "top_left_corner": {}}, "quantity_link": {"[ANSWER]": {"(17, 4)": 32.8, "(17, 8)": 21.1}}}
["=E20-I20"]
{"E20": "(17, 4)", "I20": "(17, 8)"}
<table border='1' cellpadding='4' cellspacing='0'> <tr> <td rowspan='3'>sector</td> <td colspan='4'>black female workers</td> <td colspan='4'>other female workers</td> </tr> <tr> <td>immigrant</td> <td>second generation</td> <td>third generation or more</td> <td>total</td> <td>immigrant</td> <td>second generation</td> <td>third generation or more</td> <td>total</td> </tr> <tr> <td colspan='8'>percent</td> </tr> <tr> <td>agriculture, forestry, fishing and hunting</td> <td>0.2</td> <td>0.1</td> <td>0.5</td> <td>0.2</td> <td>1.0</td> <td>1.0</td> <td>1.5</td> <td>1.3</td> </tr> <tr> <td>mining, quarrying, and oil and gas extraction</td> <td>0.3</td> <td>0.2</td> <td>0.4</td> <td>0.3</td> <td>0.5</td> <td>0.6</td> <td>0.8</td> <td>0.7</td> </tr> <tr> <td>utilities</td> <td>0.2</td> <td>0.3</td> <td>0.1</td> <td>0.2</td> <td>0.3</td> <td>0.5</td> <td>0.5</td> <td>0.5</td> </tr> <tr> <td>construction</td> <td>0.7</td> <td>1.0</td> <td>1.3</td> <td>0.8</td> <td>1.7</td> <td>2.2</td> <td>2.3</td> <td>2.1</td> </tr> <tr> <td>manufacturing</td> <td>5.4</td> <td>2.8</td> <td>4.0</td> <td>4.8</td> <td>7.9</td> <td>4.1</td> <td>4.9</td> <td>5.5</td> </tr> <tr> <td>wholesale trade</td> <td>2.0</td> <td>2.5</td> <td>2.0</td> <td>2.1</td> <td>3.3</td> <td>3.0</td> <td>2.4</td> <td>2.7</td> </tr> <tr> <td>retail trade</td> <td>7.5</td> <td>9.7</td> <td>11.9</td> <td>8.3</td> <td>11.1</td> <td>9.7</td> <td>10.8</td> <td>10.7</td> </tr> <tr> <td>transportation and warehousing</td> <td>2.7</td> <td>3.3</td> <td>3.3</td> <td>2.9</td> <td>2.8</td> <td>2.8</td> <td>2.7</td> <td>2.7</td> </tr> <tr> <td>information and cultural industries</td> <td>1.6</td> <td>3.8</td> <td>2.6</td> <td>2.1</td> <td>1.9</td> <td>2.7</td> <td>2.0</td> <td>2.1</td> </tr> <tr> <td>finance and insurance</td> <td>5.8</td> <td>7.9</td> <td>4.4</td> <td>6.2</td> <td>6.9</td> <td>7.1</td> <td>5.2</td> <td>5.9</td> </tr> <tr> <td>real estate and rental and leasing</td> <td>1.1</td> <td>1.6</td> <td>1.4</td> <td>1.2</td> <td>2.2</td> <td>2.1</td> <td>1.4</td> <td>1.7</td> </tr> <tr> <td>professional, scientific and technical services</td> <td>4.6</td> <td>8.4</td> <td>4.7</td> <td>5.4</td> <td>8.7</td> <td>9.2</td> <td>6.7</td> <td>7.6</td> </tr> <tr> <td>administrative and support, waste management and remediation services</td> <td>7.9</td> <td>5.6</td> <td>6.5</td> <td>7.6</td> <td>5.1</td> <td>3.5</td> <td>3.5</td> <td>3.9</td> </tr> <tr> <td>educational services</td> <td>6.9</td> <td>9.8</td> <td>8.5</td> <td>7.6</td> <td>8.1</td> <td>14.2</td> <td>12.3</td> <td>11.6</td> </tr> <tr> <td>health care and social assistance</td> <td>36.6</td> <td>24.0</td> <td>23.5</td> <td>32.8</td> <td>19.0</td> <td>19.1</td> <td>22.7</td> <td>21.1</td> </tr> <tr> <td>arts, entertainment and recreation</td> <td>0.9</td> <td>2.1</td> <td>2.4</td> <td>1.2</td> <td>1.3</td> <td>2.1</td> <td>1.9</td> <td>1.8</td> </tr> <tr> <td>accommodation and food services</td> <td>5.5</td> <td>4.6</td> <td>9.5</td> <td>5.7</td> <td>8.7</td> <td>4.4</td> <td>5.6</td> <td>6.3</td> </tr> <tr> <td>other services</td> <td>4.2</td> <td>4.1</td> <td>5.1</td> <td>4.3</td> <td>5.8</td> <td>4.4</td> <td>4.9</td> <td>5.1</td> </tr> <tr> <td>public administration</td> <td>5.9</td> <td>8.2</td> <td>8.0</td> <td>6.3</td> <td>3.7</td> <td>7.2</td> <td>8.0</td> <td>6.8</td> </tr> <tr> <td>total</td> <td>100.0</td> <td>100.0</td> <td>100.0</td> <td>100.0</td> <td>100.0</td> <td>100.0</td> <td>100.0</td> <td>100.0</td> </tr> </table>
[ [ "sector", "black female workers", "", "", "", "other female workers", "", "", "" ], [ "", "immigrant", "second generation", "third generation or more", "total", "immigrant", "second generation", "third generation or more", "total" ], [ "", "percent", "", "", "", "", "", "", "" ], [ "agriculture, forestry, fishing and hunting", "0.2", "0.1", "0.5", "0.2", "1.0", "1.0", "1.5", "1.3" ], [ "mining, quarrying, and oil and gas extraction", "0.3", "0.2", "0.4", "0.3", "0.5", "0.6", "0.8", "0.7" ], [ "utilities", "0.2", "0.3", "0.1", "0.2", "0.3", "0.5", "0.5", "0.5" ], [ "construction", "0.7", "1.0", "1.3", "0.8", "1.7", "2.2", "2.3", "2.1" ], [ "manufacturing", "5.4", "2.8", "4.0", "4.8", "7.9", "4.1", "4.9", "5.5" ], [ "wholesale trade", "2.0", "2.5", "2.0", "2.1", "3.3", "3.0", "2.4", "2.7" ], [ "retail trade", "7.5", "9.7", "11.9", "8.3", "11.1", "9.7", "10.8", "10.7" ], [ "transportation and warehousing", "2.7", "3.3", "3.3", "2.9", "2.8", "2.8", "2.7", "2.7" ], [ "information and cultural industries", "1.6", "3.8", "2.6", "2.1", "1.9", "2.7", "2.0", "2.1" ], [ "finance and insurance", "5.8", "7.9", "4.4", "6.2", "6.9", "7.1", "5.2", "5.9" ], [ "real estate and rental and leasing", "1.1", "1.6", "1.4", "1.2", "2.2", "2.1", "1.4", "1.7" ], [ "professional, scientific and technical services", "4.6", "8.4", "4.7", "5.4", "8.7", "9.2", "6.7", "7.6" ], [ "administrative and support, waste management and remediation services", "7.9", "5.6", "6.5", "7.6", "5.1", "3.5", "3.5", "3.9" ], [ "educational services", "6.9", "9.8", "8.5", "7.6", "8.1", "14.2", "12.3", "11.6" ], [ "health care and social assistance", "36.6", "24.0", "23.5", "32.8", "19.0", "19.1", "22.7", "21.1" ], [ "arts, entertainment and recreation", "0.9", "2.1", "2.4", "1.2", "1.3", "2.1", "1.9", "1.8" ], [ "accommodation and food services", "5.5", "4.6", "9.5", "5.7", "8.7", "4.4", "5.6", "6.3" ], [ "other services", "4.2", "4.1", "5.1", "4.3", "5.8", "4.4", "4.9", "5.1" ], [ "public administration", "5.9", "8.2", "8.0", "6.3", "3.7", "7.2", "8.0", "6.8" ], [ "total", "100.0", "100.0", "100.0", "100.0", "100.0", "100.0", "100.0", "100.0" ] ]
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services", "type": "string", "children_dict": [], "line_idx": 17}, {"name": "public administration", "value": "public administration", "type": "string", "children_dict": [], "line_idx": 18}, {"name": "total", "value": "total", "type": "string", "children_dict": [], "line_idx": 19}], "line_idx": null}]}, "data": [[{"value": 0.2}, {"value": 0.1}, {"value": 0.5}, {"value": 0.2}, {"value": 1.0}, {"value": 1.0}, {"value": 1.5}, {"value": 1.3}], [{"value": 0.3}, {"value": 0.2}, {"value": 0.4}, {"value": 0.3}, {"value": 0.5}, {"value": 0.6}, {"value": 0.8}, {"value": 0.7}], [{"value": 0.2}, {"value": 0.3}, {"value": 0.1}, {"value": 0.2}, {"value": 0.3}, {"value": 0.5}, {"value": 0.5}, {"value": 0.5}], [{"value": 0.7}, {"value": 1.0}, {"value": 1.3}, {"value": 0.8}, {"value": 1.7}, {"value": 2.2}, {"value": 2.3}, {"value": 2.1}], [{"value": 5.4}, {"value": 2.8}, {"value": 4.0}, {"value": 4.8}, {"value": 7.9}, {"value": 4.1}, {"value": 4.9}, {"value": 5.5}], [{"value": 2.0}, {"value": 2.5}, {"value": 2.0}, {"value": 2.1}, {"value": 3.3}, {"value": 3.0}, {"value": 2.4}, {"value": 2.7}], [{"value": 7.5}, {"value": 9.7}, {"value": 11.9}, {"value": 8.3}, {"value": 11.1}, {"value": 9.7}, {"value": 10.8}, {"value": 10.7}], [{"value": 2.7}, {"value": 3.3}, {"value": 3.3}, {"value": 2.9}, {"value": 2.8}, {"value": 2.8}, {"value": 2.7}, {"value": 2.7}], [{"value": 1.6}, {"value": 3.8}, {"value": 2.6}, {"value": 2.1}, {"value": 1.9}, {"value": 2.7}, {"value": 2.0}, {"value": 2.1}], [{"value": 5.8}, {"value": 7.9}, {"value": 4.4}, {"value": 6.2}, {"value": 6.9}, {"value": 7.1}, {"value": 5.2}, {"value": 5.9}], [{"value": 1.1}, {"value": 1.6}, {"value": 1.4}, {"value": 1.2}, {"value": 2.2}, {"value": 2.1}, {"value": 1.4}, {"value": 1.7}], [{"value": 4.6}, {"value": 8.4}, {"value": 4.7}, {"value": 5.4}, {"value": 8.7}, {"value": 9.2}, {"value": 6.7}, {"value": 7.6}], [{"value": 7.9}, {"value": 5.6}, {"value": 6.5}, {"value": 7.6}, {"value": 5.1}, {"value": 3.5}, {"value": 3.5}, {"value": 3.9}], [{"value": 6.9}, {"value": 9.8}, {"value": 8.5}, {"value": 7.6}, {"value": 8.1}, {"value": 14.2}, {"value": 12.3}, {"value": 11.6}], [{"value": 36.6}, {"value": 24.0}, {"value": 23.5}, {"value": 32.8}, {"value": 19.0}, {"value": 19.1}, {"value": 22.7}, {"value": 21.1}], [{"value": 0.9}, {"value": 2.1}, {"value": 2.4}, {"value": 1.2}, {"value": 1.3}, {"value": 2.1}, {"value": 1.9}, {"value": 1.8}], [{"value": 5.5}, {"value": 4.6}, {"value": 9.5}, {"value": 5.7}, {"value": 8.7}, {"value": 4.4}, {"value": 5.6}, {"value": 6.3}], [{"value": 4.2}, {"value": 4.1}, {"value": 5.1}, {"value": 4.3}, {"value": 5.8}, {"value": 4.4}, {"value": 4.9}, {"value": 5.1}], [{"value": 5.9}, {"value": 8.2}, {"value": 8.0}, {"value": 6.3}, {"value": 3.7}, {"value": 7.2}, {"value": 8.0}, {"value": 6.8}], [{"value": 100.0}, {"value": 100.0}, {"value": 100.0}, {"value": 100.0}, {"value": 100.0}, {"value": 100.0}, {"value": 100.0}, {"value": 100.0}]]}
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