original_dataset_id stringlengths 32 32 | dataset_name stringclasses 1
value | table stringlengths 237 10.3k | table_title stringclasses 1
value | text stringclasses 1
value | question stringlengths 20 359 | answer stringlengths 5 215 |
|---|---|---|---|---|---|---|
717e4713ff535a5ae1bef09020ad6b9e | hitab | {"table_id": "2327", "table": {"cells": [["type of unwanted behaviour", "women", "", "", "men", "", "", "total", "", ""], ["", "percent", "95% confidence interval", "", "percent", "95% confidence interval", "", "percent", "95% confidence interval", ""], ["", "", "from", "to", "", "from", "to", "", "from", "to"], ["unwa... | None | None | what is the percentage of men who reported being subjected to unwanted sexual attention, such as whistles, calls, suggestive looks, gestures or body language? | ["2.0"] |
053ac808f3b3b55c8501acc4b0fa9e0b | hitab | {"table_id": "2328", "table": {"cells": [["selected incident characteristics", "women", "", "", "men", "", ""], ["", "percent", "95% confidence interval", "", "percent", "95% confidence interval", ""], ["", "", "from", "to", "", "from", "to"], ["number of perpetrators", "", "", "", "", "", ""], ["one", "71", "62", "78"... | None | None | what is the percentage of women who indicated that a single person was behind the unwanted behavior online? | ["71.0"] |
25a83f49e8e96b16f0366fe9045d59e6 | hitab | {"table_id": "2328", "table": {"cells": [["selected incident characteristics", "women", "", "", "men", "", ""], ["", "percent", "95% confidence interval", "", "percent", "95% confidence interval", ""], ["", "", "from", "to", "", "from", "to"], ["number of perpetrators", "", "", "", "", "", ""], ["one", "71", "62", "78"... | None | None | what is the percentage of men who indicated that a single person was behind the unwanted behavior online? | ["59.0"] |
a7ac7500b81bd0365e749102acc0260d | hitab | {"table_id": "2328", "table": {"cells": [["selected incident characteristics", "women", "", "", "men", "", ""], ["", "percent", "95% confidence interval", "", "percent", "95% confidence interval", ""], ["", "", "from", "to", "", "from", "to"], ["number of perpetrators", "", "", "", "", "", ""], ["one", "71", "62", "78"... | None | None | what is the percentage of both men and women who had experienced at least on unwanted behavior online and who could not say how many people were responsible for the most serious incident? | ["13.0", "13.0"] |
068e60b890131db9d58f6f74c2eea7c9 | hitab | {"table_id": "2328", "table": {"cells": [["selected incident characteristics", "women", "", "", "men", "", ""], ["", "percent", "95% confidence interval", "", "percent", "95% confidence interval", ""], ["", "", "from", "to", "", "from", "to"], ["number of perpetrators", "", "", "", "", "", ""], ["one", "71", "62", "78"... | None | None | what is the percentage of women who indicated that the perpetrator of unwanted behavior online was male? | ["63.0"] |
a4e1a21d2fd4fb539acc4600b5bff0f6 | hitab | {"table_id": "232_totto26529-0", "table": {"cells": [["club", "season", "league", "", "", "cup", "", "league cup", "", "continental", "", "other", ""], ["", "", "division", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals"], ["talleres", "2011-12", "torneo argentino a", "22", "5", "1",... | None | None | which league did roman strada appear with guillermo brown in 2016-17, quilmes in 2017-18, and mitre in 2018? | ["primera b nacional"] |
346080e5722f13c63645832f70969632 | hitab | {"table_id": "233", "table": {"cells": [["", "total", "computer science", "engineering", "other"], ["", "percentage", "", "", ""], ["total", "100.0", "60.4", "26.1", "13.4"], ["immigrants", "46.8", "29.3", "13.0", "4.4"], ["canadian-born", "53.2", "31.1", "13.1", "9.0"], ["men", "72.7", "47.4", "19.7", "5.6"], ["immigr... | None | None | by what percentage did immigrant women contribute to the total increase in scientific workers at the university level? | ["12.9"] |
fc60fd5707d52db031fd247ac886c0e0 | hitab | {"table_id": "233", "table": {"cells": [["", "total", "computer science", "engineering", "other"], ["", "percentage", "", "", ""], ["total", "100.0", "60.4", "26.1", "13.4"], ["immigrants", "46.8", "29.3", "13.0", "4.4"], ["canadian-born", "53.2", "31.1", "13.1", "9.0"], ["men", "72.7", "47.4", "19.7", "5.6"], ["immigr... | None | None | by what percentage did immigrant women contribute to the total increase in scientific workers at the university level? | ["14.5"] |
0b9517dd8d685c6098116f9060cedbe1 | hitab | {"table_id": "233", "table": {"cells": [["", "total", "computer science", "engineering", "other"], ["", "percentage", "", "", ""], ["total", "100.0", "60.4", "26.1", "13.4"], ["immigrants", "46.8", "29.3", "13.0", "4.4"], ["canadian-born", "53.2", "31.1", "13.1", "9.0"], ["men", "72.7", "47.4", "19.7", "5.6"], ["immigr... | None | None | by what percentage did immigrant men contribute to the total increase in scientific workers at the university level? | ["33.9"] |
577029b51830e0fb9dd30c8ab21a077e | hitab | {"table_id": "233", "table": {"cells": [["", "total", "computer science", "engineering", "other"], ["", "percentage", "", "", ""], ["total", "100.0", "60.4", "26.1", "13.4"], ["immigrants", "46.8", "29.3", "13.0", "4.4"], ["canadian-born", "53.2", "31.1", "13.1", "9.0"], ["men", "72.7", "47.4", "19.7", "5.6"], ["immigr... | None | None | by what percentage did canadian-born men contribute to the total increase in scientific workers at the university level? | ["38.7"] |
ffeaf45f2428e6671f201521bb2be5fc | hitab | {"table_id": "2330", "table": {"cells": [["", "regression equation", "r2"], ["", "", ""], ["moderate-to-vigorous physical activity", "y = 0.78x + 15.76", "0.85"], ["light physical activity", "y = 0.72x + 6.67", "0.85"], ["sedentary time", "y = 1.03x + 67.20", "0.83"], ["total counts per day", "y = 0.91x + 17,229", "0.8... | None | None | what is the minimum and maximum of r2? | ["0.83", "0.87"] |
77e3486f2d7be6b2b8601c0b205eb2f7 | hitab | {"table_id": "2331", "table": {"cells": [["characteristic", "total", "", "", "boys", "", "", "girls", "", ""], ["", "estimate", "95% confidence interval", "", "estimate", "95% confidence interval", "", "estimate", "95% confidence interval", ""], ["", "", "from", "to", "", "from", "to", "", "from", "to"], ["wear time", ... | None | None | how many minutes of physical activity did the total population accumulate per day? | ["283.0"] |
5820015003581ff28a55754fd689ce6d | hitab | {"table_id": "2331", "table": {"cells": [["characteristic", "total", "", "", "boys", "", "", "girls", "", ""], ["", "estimate", "95% confidence interval", "", "estimate", "95% confidence interval", "", "estimate", "95% confidence interval", ""], ["", "", "from", "to", "", "from", "to", "", "from", "to"], ["wear time", ... | None | None | of the 283 minutes of physical activity accumulated by total population, how many minutes were mvpa accounted for? | ["69.0"] |
7dcbde472dd3164bdc893ca089e9ed8f | hitab | {"table_id": "2331", "table": {"cells": [["characteristic", "total", "", "", "boys", "", "", "girls", "", ""], ["", "estimate", "95% confidence interval", "", "estimate", "95% confidence interval", "", "estimate", "95% confidence interval", ""], ["", "", "from", "to", "", "from", "to", "", "from", "to"], ["wear time", ... | None | None | how many hours did the total three-to-4-year-olds were the accelerometer on valid days? | ["12.0"] |
865a0ed11eae74fa24b9eaf192f2edfb | hitab | {"table_id": "2331", "table": {"cells": [["characteristic", "total", "", "", "boys", "", "", "girls", "", ""], ["", "estimate", "95% confidence interval", "", "estimate", "95% confidence interval", "", "estimate", "95% confidence interval", ""], ["", "", "from", "to", "", "from", "to", "", "from", "to"], ["wear time", ... | None | None | on average, how many minutes were the total 3-to-4-year-olds sedentary a day? | ["436.0"] |
ae2e9da16dc3dbf015f49a6b7990cff6 | hitab | {"table_id": "2336", "table": {"cells": [["", "2015", "2016", "2017", "2015 to 2017"], ["", "percentage", "", "", ""], ["newfoundland and labrador", "0.42", "0.00", "1.22", "0.27"], ["prince edward island", "0.11", "0.51", "0.28", "0.11"], ["nova scotia", "0.42", "0.47", "0.27", "0.11"], ["new brunswick", "1.51", "0.19... | None | None | what was the range of the mean absolute revision for 2015 to 2017? | ["0.07", "1.13"] |
1a27b763d7d782f5afe11764aac27648 | hitab | {"table_id": "2336", "table": {"cells": [["", "2015", "2016", "2017", "2015 to 2017"], ["", "percentage", "", "", ""], ["newfoundland and labrador", "0.42", "0.00", "1.22", "0.27"], ["prince edward island", "0.11", "0.51", "0.28", "0.11"], ["nova scotia", "0.42", "0.47", "0.27", "0.11"], ["new brunswick", "1.51", "0.19... | None | None | which province had the largest absolute mean revision in 2015? | ["newfoundland and labrador"] |
ed8798b8c3536a64113616c4276cf0e5 | hitab | {"table_id": "2338", "table": {"cells": [["", "2015", "", "2005", ""], ["", "women", "men", "women", "men"], ["", "number", "", "", ""], ["top 0.1%", "2,231", "15,004", "1,667", "14,356"], ["top 1%", "34,982", "137,321", "25,598", "134,626"], ["top 5%", "208,117", "653,391", "164,148", "636,914"], ["top 10%", "469,222"... | None | None | what was the number of women and men included in the top 1% in 2015 respectively? | ["34982.0", "137321.0"] |
f4c20a7fc8bee8fdd3fef51a5f6004cb | hitab | {"table_id": "2338", "table": {"cells": [["", "2015", "", "2005", ""], ["", "women", "men", "women", "men"], ["", "number", "", "", ""], ["top 0.1%", "2,231", "15,004", "1,667", "14,356"], ["top 1%", "34,982", "137,321", "25,598", "134,626"], ["top 5%", "208,117", "653,391", "164,148", "636,914"], ["top 10%", "469,222"... | None | None | what was the percentage of women in the top 1% in 2005? | ["0.159764"] |
840a12928abb890695af3551ac64511f | hitab | {"table_id": "2338", "table": {"cells": [["", "2015", "", "2005", ""], ["", "women", "men", "women", "men"], ["", "number", "", "", ""], ["top 0.1%", "2,231", "15,004", "1,667", "14,356"], ["top 1%", "34,982", "137,321", "25,598", "134,626"], ["top 5%", "208,117", "653,391", "164,148", "636,914"], ["top 10%", "469,222"... | None | None | what was the number of women and men in the top 0.1% in 2015 respectively? | ["2231.0", "15004.0"] |
92b381ebc5cb7ef7db43d8e3cbf9993a | hitab | {"table_id": "2339", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "percent", "", "", "", "", "", "", ""], ["age", "", "", "", "", "", "", "", ""], ["25 to 34", "21.7", "10.1", "7.4", "4.1", "22.5"... | None | None | what was the percentage of working women in the top 1% between 25 and 54 in 2015? | ["66.2"] |
abe784adeeace456b350d60cbeb0bee9 | hitab | {"table_id": "2339", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "percent", "", "", "", "", "", "", ""], ["age", "", "", "", "", "", "", "", ""], ["25 to 34", "21.7", "10.1", "7.4", "4.1", "22.5"... | None | None | what was the percentage of working women in the top 1% between 25 and 44. | ["27"] |
6f78d53cdf574f9fa0bc41dcd91a39d9 | hitab | {"table_id": "2339", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "percent", "", "", "", "", "", "", ""], ["age", "", "", "", "", "", "", "", ""], ["25 to 34", "21.7", "10.1", "7.4", "4.1", "22.5"... | None | None | what was the percentage of working women in the top 1% belonging to a visible minority group. | ["13.8"] |
ad51ff15bcb45c8830e7c824e99d32b7 | hitab | {"table_id": "233_totto26600-0", "table": {"cells": [["election", "european parliament", "", "", "", "", "size", "candidate"], ["", "votes", "%", "\u00b1pp", "seats won", "+/", "", ""], ["1987", "2,111,828", "37.5%", "", "10 / 24", "", "1st", "pedro santana lopes"], ["1989", "1,358,958", "32.8%", "4.7", "9 / 24", "1", ... | None | None | in the european parliament election of 2009, how many percent did the psd capture of the popular vote? | ["0.317"] |
23ca1d6b14170dbd0c85ca278f9ef4c1 | hitab | {"table_id": "233_totto26648-3", "table": {"cells": [["club", "season", "league", "", "", "cup", "", "continental", "", "total", ""], ["", "", "division", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals"], ["brommapojkarna", "2015", "superettan", "10", "0", "1", "0", "-", "", "11", "0"], ["", "2016", ... | None | None | in 2017, which league did beijmo appear for side djurgardens if? | ["allsvenskan"] |
4da1eaf3580b03f6d561dc23f3db3666 | hitab | {"table_id": "234", "table": {"cells": [["", "women", "", "men", ""], ["", "scientific occupations", "non-scientific occupations", "scientific occupations", "non-scientific occupations"], ["", "percentage", "", "", ""], ["job status", "", "", "", ""], ["permanent", "93.2", "87.2", "94.6", "86.2"], ["temporary", "6.8", ... | None | None | which group of women was more likely to have a permanent position, to work full time and to have higher hourly wages, women who worked in scientific occupations or women who worked in non-scientific occupations? | ["scientific occupations"] |
0282b1f0af9b866c8f8c96a0fae66537 | hitab | {"table_id": "234", "table": {"cells": [["", "women", "", "men", ""], ["", "scientific occupations", "non-scientific occupations", "scientific occupations", "non-scientific occupations"], ["", "percentage", "", "", ""], ["job status", "", "", "", ""], ["permanent", "93.2", "87.2", "94.6", "86.2"], ["temporary", "6.8", ... | None | None | which group of women was less likely to be unionized, women in scientific occupations or women in non-scientific occupations? | ["scientific occupations"] |
e9303b703d1ac5ba0ad67c8246b65fc0 | hitab | {"table_id": "234", "table": {"cells": [["", "women", "", "men", ""], ["", "scientific occupations", "non-scientific occupations", "scientific occupations", "non-scientific occupations"], ["", "percentage", "", "", ""], ["job status", "", "", "", ""], ["permanent", "93.2", "87.2", "94.6", "86.2"], ["temporary", "6.8", ... | None | None | which group of men was less likely to be unionized, men in scientific occupations or men in non-scientific occupations? | ["scientific occupations"] |
02a08b061650fe44e54660dbd2aa7d2d | hitab | {"table_id": "2340", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "percent", "", "", "", "", "", "", ""], ["marital status", "", "", "", "", "", "", "", ""], ["never married", "40.3", "21.5", "18.... | None | None | who were more likely to be married or in a common-law relationship,workers in the top 1% or those in the bottom 90%? | ["top 1%"] |
8512f71c0eb8c13c6378f3a24340c7b5 | hitab | {"table_id": "2340", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "percent", "", "", "", "", "", "", ""], ["marital status", "", "", "", "", "", "", "", ""], ["never married", "40.3", "21.5", "18.... | None | None | what was the percentage of women and men in top 1% who were married or in a common-law relationship respectively? | ["77.3", "88.4"] |
c78986f4f1ef16a42ff7b141e5b837f5 | hitab | {"table_id": "2340", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "percent", "", "", "", "", "", "", ""], ["marital status", "", "", "", "", "", "", "", ""], ["never married", "40.3", "21.5", "18.... | None | None | what was the percentage of working women and men in the bottom 90% who were married or in a common-law relationship respectively? | ["59.5", "59.9"] |
083b217d5b29e6914c7afabe10afadcb | hitab | {"table_id": "2340", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "percent", "", "", "", "", "", "", ""], ["marital status", "", "", "", "", "", "", "", ""], ["never married", "40.3", "21.5", "18.... | None | None | what was the multiple relationship between women in top 1% who were lone parents and their male counterparts? | ["3.076923"] |
1df0d06f98cb2c691618a24bb24f4858 | hitab | {"table_id": "2340", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "percent", "", "", "", "", "", "", ""], ["marital status", "", "", "", "", "", "", "", ""], ["never married", "40.3", "21.5", "18.... | None | None | for workers in the bottom 90%,who were more likely to be living alone or with non-family members,women or men? | ["men"] |
401c37856753b9025647faebb285d8ec | hitab | {"table_id": "2340", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "percent", "", "", "", "", "", "", ""], ["marital status", "", "", "", "", "", "", "", ""], ["never married", "40.3", "21.5", "18.... | None | None | what were the percentages of working women in the top 1% who were either living alone or with non-family members and their male counterparts respectively? | ["13.9", "8.6"] |
4fa77d274cbec4a3a6bf0a7fc6fea975 | hitab | {"table_id": "2340", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "percent", "", "", "", "", "", "", ""], ["marital status", "", "", "", "", "", "", "", ""], ["never married", "40.3", "21.5", "18.... | None | None | for workers in the top 1%,who were more likely to have one children? | ["women"] |
5ad07cf9d8f118861f2c821bf05b5552 | hitab | {"table_id": "2340", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "percent", "", "", "", "", "", "", ""], ["marital status", "", "", "", "", "", "", "", ""], ["never married", "40.3", "21.5", "18.... | None | None | for workers in the bottom 90%,who were more likely to have one children ,women or men? | ["women"] |
083d8e44393dc5c65865298c12bac5b1 | hitab | {"table_id": "2340", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "percent", "", "", "", "", "", "", ""], ["marital status", "", "", "", "", "", "", "", ""], ["never married", "40.3", "21.5", "18.... | None | None | what was the percentage of women in the top 1% who had no child and their male counterparts respectively? | ["41.6", "37.6"] |
e2ff0c297b4670e102e5adf7abaeeac2 | hitab | {"table_id": "2340", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "percent", "", "", "", "", "", "", ""], ["marital status", "", "", "", "", "", "", "", ""], ["never married", "40.3", "21.5", "18.... | None | None | for workers in the top 1%,who had fewer children,womem or men? | ["women"] |
7d0068db72fae19a950e76a28c8a6a15 | hitab | {"table_id": "2340", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "percent", "", "", "", "", "", "", ""], ["marital status", "", "", "", "", "", "", "", ""], ["never married", "40.3", "21.5", "18.... | None | None | what was the percentage of women in the top 1% who had only one child and their male counterparts respectively? | ["19.6", "17.3"] |
00b12b6400d32e8a88d888442bbd9525 | hitab | {"table_id": "2340", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "percent", "", "", "", "", "", "", ""], ["marital status", "", "", "", "", "", "", "", ""], ["never married", "40.3", "21.5", "18.... | None | None | what was the percentage of working men in the top 1% who had two or more children and their female counterparts respectively? | ["45.2", "38.8"] |
51ac408c1793136139eb429eefdda352 | hitab | {"table_id": "2340", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "percent", "", "", "", "", "", "", ""], ["marital status", "", "", "", "", "", "", "", ""], ["never married", "40.3", "21.5", "18.... | None | None | what was the percentage of men in top 1% who had three or more children and their female counterparts respectively? | ["15.4", "10.5"] |
a3f2b343d6d06081882aaac5b0aafdea | hitab | {"table_id": "2341", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "percent", "", "", "", "", "", "", ""], ["provinces and territories", "", "", "", "", "", "", "", ""], ["newfoundland and labrador... | None | None | what were the percentages of working women in the top 1% who lived in toronto and their male counterparts respectively? | ["31.5", "26.9"] |
c485bc7e91133ec1401c35e67e401df3 | hitab | {"table_id": "2341", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "percent", "", "", "", "", "", "", ""], ["provinces and territories", "", "", "", "", "", "", "", ""], ["newfoundland and labrador... | None | None | what was the percentage of women in the bottom 90% who lived in toronto? | ["16.9"] |
a0c92d777ad39af197b85977ed7260c5 | hitab | {"table_id": "2341", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "percent", "", "", "", "", "", "", ""], ["provinces and territories", "", "", "", "", "", "", "", ""], ["newfoundland and labrador... | None | None | for workers in the top 1%,who were less likely to live in calgary or edmonton? | ["women"] |
2e4d478c6fe68a86beeabb2a9cba7896 | hitab | {"table_id": "2342", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "percent", "", "", "", "", "", "", ""], ["educational attainment", "", "", "", "", "", "", "", ""], ["no certificate, diploma or d... | None | None | what was the percentage of working women in the top 1% who obtained a bachelor's degree or higher in 2015. | ["74.2"] |
e5516178306650641e0acbd576009afe | hitab | {"table_id": "2342", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "percent", "", "", "", "", "", "", ""], ["educational attainment", "", "", "", "", "", "", "", ""], ["no certificate, diploma or d... | None | None | what was the percentage of working men in the top 1% who obtained a bachelor's degree or higher in 2015. | ["70"] |
b25396e799022add8711b13fd512d71d | hitab | {"table_id": "2342", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "percent", "", "", "", "", "", "", ""], ["educational attainment", "", "", "", "", "", "", "", ""], ["no certificate, diploma or d... | None | None | for workers in the top 1%,who were more likely to obtain a university certificate or diploma above the bachelor's level,women or men? | ["women"] |
1e32717417a80e3913dde0b1404d8d68 | hitab | {"table_id": "2342", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "percent", "", "", "", "", "", "", ""], ["educational attainment", "", "", "", "", "", "", "", ""], ["no certificate, diploma or d... | None | None | for those in the top 1%,who were less likely to study in architecture, engineering, and related technologies,women or men? | ["women"] |
690a2cfc8774bf32a78e8440965f4cf9 | hitab | {"table_id": "2342", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "percent", "", "", "", "", "", "", ""], ["educational attainment", "", "", "", "", "", "", "", ""], ["no certificate, diploma or d... | None | None | what were the percentages of women in the top1% who studied in physical and life sciences and technology and their counterparts respectively? | ["5.7", "5.8"] |
bfb9ff76f1a7c2671637d4bc01129b09 | hitab | {"table_id": "2342", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "percent", "", "", "", "", "", "", ""], ["educational attainment", "", "", "", "", "", "", "", ""], ["no certificate, diploma or d... | None | None | what were the percentages of women in the top1% who studied in mathematics, computer science and information sciences and their counterparts respectively? | ["2.2", "3.2"] |
38ac0b8edc4f47f01183f6024b653356 | hitab | {"table_id": "2342", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "percent", "", "", "", "", "", "", ""], ["educational attainment", "", "", "", "", "", "", "", ""], ["no certificate, diploma or d... | None | None | for workers in the top1%,who were more likely to have studied social and behavioural sciences and law,women or men? | ["women"] |
e5cc41d7ec6f9c430ff1938f45f6aa5b | hitab | {"table_id": "2342", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "percent", "", "", "", "", "", "", ""], ["educational attainment", "", "", "", "", "", "", "", ""], ["no certificate, diploma or d... | None | None | what were the percentages of women in the top1% who studied inbusiness, management and public administration and their counterparts respectively? | ["28.5", "35.8"] |
0af430528104e97cdc0a3fe4ad671052 | hitab | {"table_id": "2345", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "hours", "", "", "", "", "", "", ""], ["family status", "", "", "", "", "", "", "", ""], ["married spouse or common-law", "32.9", ... | None | None | how many hours did women in the top1% who were living alone or with non-family members work and their male counterparts respectively? | ["45.8", "46.4"] |
eb620c2816d4b4b635d3ed69e03daac5 | hitab | {"table_id": "2345", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "hours", "", "", "", "", "", "", ""], ["family status", "", "", "", "", "", "", "", ""], ["married spouse or common-law", "32.9", ... | None | None | how many hours did women in the top 1% who were married or in a common-law relationship work? | ["42.3"] |
969464141685edd3604e4b6d02f768c5 | hitab | {"table_id": "2345", "table": {"cells": [["", "women", "", "", "", "men", "", "", ""], ["", "bottom 90%", "next 5%", "next 4%", "top 1%", "bottom 90%", "next 5%", "next 4%", "top 1%"], ["", "hours", "", "", "", "", "", "", ""], ["family status", "", "", "", "", "", "", "", ""], ["married spouse or common-law", "32.9", ... | None | None | what was the average time(hours)did women in the top 1% who had one or two children work? | ["42.1"] |
bafb06b6c54613b152f25f90fd04493c | hitab | {"table_id": "2348", "table": {"cells": [["", "median debt", "", "", "median assets", "", ""], ["", "1999", "2016", "change", "1999", "2016", "change"], ["", "2016 constant dollars", "", "", "", "", ""], ["senior families with debt", "9,000", "25,000", "16,000", "327,000", "607,400", "280,400"], ["sex of major income e... | None | None | what was the number of the median amount of debt held by senior families with debt (dollars)? | ["25000.0"] |
c1e7b5c4db52f2378cb46495ae3a4542 | hitab | {"table_id": "2348", "table": {"cells": [["", "median debt", "", "", "median assets", "", ""], ["", "1999", "2016", "change", "1999", "2016", "change"], ["", "2016 constant dollars", "", "", "", "", ""], ["senior families with debt", "9,000", "25,000", "16,000", "327,000", "607,400", "280,400"], ["sex of major income e... | None | None | what was the number of median level of assets held by senior families with debt in 2016? | ["607400.0"] |
03eb6cd058841479f5b1f9b7de7a86b4 | hitab | {"table_id": "2349", "table": {"cells": [["", "change in average debt", "", "", "change in average assets", "", "", ""], ["", "change, 1999 to 2016", "due to mortgage debt", "due to consumer debt", "change, 1999 to 2016", "due to real estate assets", "due to pension assets", "due to other assets"], ["", "constant 2016 ... | None | None | what was the change in average debt and average assets between 1999 and 2016 respectively? | ["50000.0", "500900.0"] |
c213cc410c8302b608f8f637752b407a | hitab | {"table_id": "2350", "table": {"cells": [["", "1999", "2016", "change"], ["", "2016 constant dollars", "", ""], ["senior families with debt", "298,900", "537,400", "238,500"], ["sex of major income earner", "", "", ""], ["male", "380,500", "608,500", "228,000"], ["female", "166,300", "435,300", "269,000"], ["age of maj... | None | None | how much(dollars) was the median net worth of senior families with debt in 2016? | ["537400.0"] |
df912be6c1c4dc5a46a62a4a7337ddac | hitab | {"table_id": "2350", "table": {"cells": [["", "1999", "2016", "change"], ["", "2016 constant dollars", "", ""], ["senior families with debt", "298,900", "537,400", "238,500"], ["sex of major income earner", "", "", ""], ["male", "380,500", "608,500", "228,000"], ["female", "166,300", "435,300", "269,000"], ["age of maj... | None | None | list the top 2 families with the largest increases. | ["fourth quintile", "top quintile"] |
7d30cf5f0493034961c588c5d6a0cc89 | hitab | {"table_id": "2351", "table": {"cells": [["type of offence", "reported", "unfounded", "", "founded", "", "cleared", ""], ["", "number", "number", "percent", "number", "rate", "number", "percent"], ["total criminal code (excluding traffic) - \"crime rate\"", "2,110,658", "152,635", "7.2", "1,958,023", "5,334.0", "811,49... | None | None | what was the percentage of incidents of violent crime that were classified as unfounded? | ["12.2"] |
722f087f60978ed99c16bcae96a6bd73 | hitab | {"table_id": "2351", "table": {"cells": [["type of offence", "reported", "unfounded", "", "founded", "", "cleared", ""], ["", "number", "number", "percent", "number", "rate", "number", "percent"], ["total criminal code (excluding traffic) - \"crime rate\"", "2,110,658", "152,635", "7.2", "1,958,023", "5,334.0", "811,49... | None | None | what was the percentage of sexual assaults (levels 1, 2 and 3) reported to police classified as unfounded? | ["13.7"] |
50d8140ebfb9aed6e499b057cc362ec3 | hitab | {"table_id": "2351", "table": {"cells": [["type of offence", "reported", "unfounded", "", "founded", "", "cleared", ""], ["", "number", "number", "percent", "number", "rate", "number", "percent"], ["total criminal code (excluding traffic) - \"crime rate\"", "2,110,658", "152,635", "7.2", "1,958,023", "5,334.0", "811,49... | None | None | list the top3 offences most likely to be classified as unfounded by police. | ["criminal harassment", "indecent or harassing communications", "uttering threats"] |
576b868b89004811abf2410dc4094af9 | hitab | {"table_id": "2351", "table": {"cells": [["type of offence", "reported", "unfounded", "", "founded", "", "cleared", ""], ["", "number", "number", "percent", "number", "rate", "number", "percent"], ["total criminal code (excluding traffic) - \"crime rate\"", "2,110,658", "152,635", "7.2", "1,958,023", "5,334.0", "811,49... | None | None | what were the percentages of robbery and extortion classified as unfounded? | ["4.9", "4.7"] |
dbd4c7b7e5e41bbd08d92dac820be035 | hitab | {"table_id": "2351", "table": {"cells": [["type of offence", "reported", "unfounded", "", "founded", "", "cleared", ""], ["", "number", "number", "percent", "number", "rate", "number", "percent"], ["total criminal code (excluding traffic) - \"crime rate\"", "2,110,658", "152,635", "7.2", "1,958,023", "5,334.0", "811,49... | None | None | what was the number of incidents of sexual assault reported to police in 2017 that were deemed to be unfounded? | ["3835.0"] |
8a8e1cb95c789f9454b61564f476dcdc | hitab | {"table_id": "2351", "table": {"cells": [["type of offence", "reported", "unfounded", "", "founded", "", "cleared", ""], ["", "number", "number", "percent", "number", "rate", "number", "percent"], ["total criminal code (excluding traffic) - \"crime rate\"", "2,110,658", "152,635", "7.2", "1,958,023", "5,334.0", "811,49... | None | None | what was the percentage of sexual assault representing of all founded incidents of violent crime? | ["0.059757"] |
0e2c6d7a49eba42a736fa28700fda1db | hitab | {"table_id": "2353", "table": {"cells": [["province or territory", "reported", "unfounded", "", "founded", "", "cleared", ""], ["", "number", "number", "percent", "number", "rate", "number", "percent"], ["newfoundland and labrador", "", "", "", "", "", "", ""], ["2016", "4,486", "816", "18.2", "3,670", "692.1", "2,355"... | None | None | what were the percentages of physical assaults (levels 1, 2, and 3) classified as unfounded in 2016 and 2017 respectively? | ["11.5", "9.3"] |
86e4934f805e5fc7da4fbefb9aa672c9 | hitab | {"table_id": "2353", "table": {"cells": [["province or territory", "reported", "unfounded", "", "founded", "", "cleared", ""], ["", "number", "number", "percent", "number", "rate", "number", "percent"], ["newfoundland and labrador", "", "", "", "", "", "", ""], ["2016", "4,486", "816", "18.2", "3,670", "692.1", "2,355"... | None | None | list the top3 provinces and territories with the greatest decrease. | ["prince edward island", "nova scotia", "manitoba"] |
edb655c5f2187535a3ba21f8a5656289 | hitab | {"table_id": "2359", "table": {"cells": [["", "sample size", "distribution", "predicted rate"], ["", "thousands", "percent", "rate"], ["overall", "2,085", "100.0", "12.3"], ["gender", "", "", ""], ["male", "951", "45.6", "11.4"], ["female", "1,134", "54.4", "13.1"], ["age", "", "", ""], ["25 to 34", "393", "18.8", "6.9... | None | None | what was the multiple relationship between immigrant seniors aged 65 and older and immigrants aged 25 to 34? | ["3.608696"] |
79c2ce9214dccbf39b23f26ad9ad0c1e | hitab | {"table_id": "2359", "table": {"cells": [["", "sample size", "distribution", "predicted rate"], ["", "thousands", "percent", "rate"], ["overall", "2,085", "100.0", "12.3"], ["gender", "", "", ""], ["male", "951", "45.6", "11.4"], ["female", "1,134", "54.4", "13.1"], ["age", "", "", ""], ["25 to 34", "393", "18.8", "6.9... | None | None | what was the adjusted rate among the longer-tenured immigrants(16 to 20 years) ? | ["9.5"] |
2f1d326429bf36ae09e77dd0fb35e40c | hitab | {"table_id": "2359", "table": {"cells": [["", "sample size", "distribution", "predicted rate"], ["", "thousands", "percent", "rate"], ["overall", "2,085", "100.0", "12.3"], ["gender", "", "", ""], ["male", "951", "45.6", "11.4"], ["female", "1,134", "54.4", "13.1"], ["age", "", "", ""], ["25 to 34", "393", "18.8", "6.9... | None | None | what was the multiple relationship between immigrants with no knowledge of english or french and immigrants with knowledge of both languages? | ["1.446809"] |
2fcfd6dfba02615517585f61d3878b30 | hitab | {"table_id": "2359", "table": {"cells": [["", "sample size", "distribution", "predicted rate"], ["", "thousands", "percent", "rate"], ["overall", "2,085", "100.0", "12.3"], ["gender", "", "", ""], ["male", "951", "45.6", "11.4"], ["female", "1,134", "54.4", "13.1"], ["age", "", "", ""], ["25 to 34", "393", "18.8", "6.9... | None | None | what was the multiple relationship between immigrants with a secondary school education and those with a non-university postsecondary education? | ["1.118644"] |
6eb3119ef5f30befef630e2d3c1791b0 | hitab | {"table_id": "236", "table": {"cells": [["factors", "f1", "f2", "f3", "f4", "f5"], ["f1. emotional symptoms", "..", "..", "..", "..", ".."], ["f2. conduct problems", "0.37", "..", "..", "..", ".."], ["f3. peer problems", "0.41", "0.34", "..", "..", ".."], ["f4. hyperactivity", "0.36", "0.56", "0.34", "..", ".."], ["f5.... | None | None | which difficulties factors has positive correlations among all five factors? | ["f1. emotional symptoms", "f2. conduct problems", "f3. peer problems", "f4. hyperactivity"] |
ab52f3c1be43de0a3601a10e972a0279 | hitab | {"table_id": "236", "table": {"cells": [["factors", "f1", "f2", "f3", "f4", "f5"], ["f1. emotional symptoms", "..", "..", "..", "..", ".."], ["f2. conduct problems", "0.37", "..", "..", "..", ".."], ["f3. peer problems", "0.41", "0.34", "..", "..", ".."], ["f4. hyperactivity", "0.36", "0.56", "0.34", "..", ".."], ["f5.... | None | None | which factor correlated negatively with other four difficulties factors? | ["f5. prosocial behaviour"] |
f09cb5c19db3b2728b09ad63a2eb3dd3 | hitab | {"table_id": "2361", "table": {"cells": [["", "2000", "2002", "2004", "2006", "2008", "2010", "2012"], ["", "rate", "", "", "", "", "", ""], ["newfoundland and labrador", "15.2", "13.3", "12.1", "10.4", "8.4", "6.5", "5.7"], ["prince edward isalnd", "8.2", "7.0", "6.4", "5.6", "5.1", "4.4", "4.1"], ["nova scotia", "10.... | None | None | what was the range of comparison group rates in 2012? | ["1.3", "6.0"] |
74b2c9756e84c152400697ed842c5c98 | hitab | {"table_id": "2366", "table": {"cells": [["social isolation measure", "men", "", "", "women", "", ""], ["", "mean survival time", "95% confidence interval", "", "mean survival time", "95% confidence interval", ""], ["", "(days)", "from", "to", "(days)", "from", "to"], ["low participation", "", "", "", "", "", ""], ["ye... | None | None | who had shorter survival times,low participating men and women or those frequently in community-related activities? | ["low participation"] |
6ed03ffef2c02757def162eefedccce0 | hitab | {"table_id": "2366", "table": {"cells": [["social isolation measure", "men", "", "", "women", "", ""], ["", "mean survival time", "95% confidence interval", "", "mean survival time", "95% confidence interval", ""], ["", "(days)", "from", "to", "(days)", "from", "to"], ["low participation", "", "", "", "", "", ""], ["ye... | None | None | for women,who had shorter survival time,low participators or high participators? | ["low participation"] |
3e3db0e2908c49f20645545318973b9a | hitab | {"table_id": "236_totto26901-4", "table": {"cells": [["club", "season", "league", "", "", "cup", "", "continental", "", "other", "", "total", ""], ["", "", "division", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals"], ["elfsborg", "2009", "allsvenskan", "1", "0", "1", "0", "0", "0", ... | None | None | which league did niklas hult appear in club nice for the 2014-15 season? | ["ligue 1"] |
fccef58d04c2328aecf3ea4de46fc099 | hitab | {"table_id": "237", "table": {"cells": [["subscale and items", "factor loading", "standard error", "r-square"], ["emotional symptoms", "", "", ""], ["headaches, stomach aches", "0.45", "0.02", "0.20"], ["worries", "0.72", "0.01", "0.52"], ["unhappy, tearful", "0.83", "0.02", "0.69"], ["nervous in new situations", "0.68... | None | None | what is the maximum and minimum of all standardized factor loadings for the five-factor model? | ["0.9", "0.45"] |
096bfef5c21778a71d53ba39f23219da | hitab | {"table_id": "237", "table": {"cells": [["subscale and items", "factor loading", "standard error", "r-square"], ["emotional symptoms", "", "", ""], ["headaches, stomach aches", "0.45", "0.02", "0.20"], ["worries", "0.72", "0.01", "0.52"], ["unhappy, tearful", "0.83", "0.02", "0.69"], ["nervous in new situations", "0.68... | None | None | what is the minimum of all five factors' composite reliability? | ["peer problems"] |
e0d9750b9270aa424980f07992f90acf | hitab | {"table_id": "2374", "table": {"cells": [["", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", ""], ["", "overall", "men", "women", "overall", "men", "women"], ["", "percent", "", "", "percent", "", ""], ["sex", "", "", "", "", "", ""], ["female", "30.... | None | None | what was the percentage of male stem graduates? | ["69.8"] |
0a3a3652942683c6506f4ca7f9f99b39 | hitab | {"table_id": "2374", "table": {"cells": [["", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", ""], ["", "overall", "men", "women", "overall", "men", "women"], ["", "percent", "", "", "percent", "", ""], ["sex", "", "", "", "", "", ""], ["female", "30.... | None | None | what was the percentage of those married or in a common-law relationship of the sample? | ["77.5"] |
6f3cc8a210245fafe3f26c6a2c26b820 | hitab | {"table_id": "2374", "table": {"cells": [["", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", ""], ["", "overall", "men", "women", "overall", "men", "women"], ["", "percent", "", "", "percent", "", ""], ["sex", "", "", "", "", "", ""], ["female", "30.... | None | None | what was the percentage of those single in 2016? | ["17.1"] |
660fbddb64d1fa77ae601c98cd26a993 | hitab | {"table_id": "2374", "table": {"cells": [["", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", ""], ["", "overall", "men", "women", "overall", "men", "women"], ["", "percent", "", "", "percent", "", ""], ["sex", "", "", "", "", "", ""], ["female", "30.... | None | None | what was the percentage of those did not have children younger than 6 in either 2006 or 2016? | ["65.3"] |
fdede6b192068ddfaea00f946ce6be64 | hitab | {"table_id": "2374", "table": {"cells": [["", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", ""], ["", "overall", "men", "women", "overall", "men", "women"], ["", "percent", "", "", "percent", "", ""], ["sex", "", "", "", "", "", ""], ["female", "30.... | None | None | what was the percentage of those who had children younger than 6 in 2006 and 2016? | ["2.1"] |
d4522bb14727cd6a54f0b0e10e6697da | hitab | {"table_id": "2374", "table": {"cells": [["", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", ""], ["", "overall", "men", "women", "overall", "men", "women"], ["", "percent", "", "", "percent", "", ""], ["sex", "", "", "", "", "", ""], ["female", "30.... | None | None | what was the percentage of respondents reported being a member of a visible minority group? | ["25.2"] |
e4fda6ae2dc0a0c60c1e61184d4d5c0b | hitab | {"table_id": "2374", "table": {"cells": [["", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", ""], ["", "overall", "men", "women", "overall", "men", "women"], ["", "percent", "", "", "percent", "", ""], ["sex", "", "", "", "", "", ""], ["female", "30.... | None | None | for those with stem credentials,who had a higher proportion of immigrants? | ["women"] |
1648d00725760571af7976362e115a8d | hitab | {"table_id": "2374", "table": {"cells": [["", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", ""], ["", "overall", "men", "women", "overall", "men", "women"], ["", "percent", "", "", "percent", "", ""], ["sex", "", "", "", "", "", ""], ["female", "30.... | None | None | what was the percentage of stem graduates identified as a member of an aboriginal group in the longitudinal sample? | ["1.1"] |
926ecde5f349f10f0e7770d0b67bd775 | hitab | {"table_id": "2374", "table": {"cells": [["", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", ""], ["", "overall", "men", "women", "overall", "men", "women"], ["", "percent", "", "", "percent", "", ""], ["sex", "", "", "", "", "", ""], ["female", "30.... | None | None | what were the percentages of men and women reported being a member of an aboriginal group respectively? | ["1.0", "1.3"] |
dbf47c599a710a3edbf77c5c793e09e1 | hitab | {"table_id": "2374", "table": {"cells": [["", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", ""], ["", "overall", "men", "women", "overall", "men", "women"], ["", "percent", "", "", "percent", "", ""], ["sex", "", "", "", "", "", ""], ["female", "30.... | None | None | what was the percentage of respondents who achieved their highest level of education outside canada? | ["20.9"] |
c017ea63479cd66ac147896cda629e82 | hitab | {"table_id": "2374", "table": {"cells": [["", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", ""], ["", "overall", "men", "women", "overall", "men", "women"], ["", "percent", "", "", "percent", "", ""], ["sex", "", "", "", "", "", ""], ["female", "30.... | None | None | among those who achieved their highest level of education outside canada,who had a higher proportion,men or women? | ["women"] |
d3930f554ae57a839d941fe2b2e59df3 | hitab | {"table_id": "2374", "table": {"cells": [["", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", ""], ["", "overall", "men", "women", "overall", "men", "women"], ["", "percent", "", "", "percent", "", ""], ["sex", "", "", "", "", "", ""], ["female", "30.... | None | None | who had a higher proportion,graduates reported a college diploma or university certificate below the bachelor's level or those with a bachelor's degree as their highest level of education? | ["college, cegep or other non-university certificate or diploma or university certificate below a bachelor's degree"] |
52143003ebfeeccf6f0266879f33f8e8 | hitab | {"table_id": "2374", "table": {"cells": [["", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", ""], ["", "overall", "men", "women", "overall", "men", "women"], ["", "percent", "", "", "percent", "", ""], ["sex", "", "", "", "", "", ""], ["female", "30.... | None | None | who were more likely to have college-level credentials? | ["men"] |
3120d0ca4dc76538d3346cfc956c80d4 | hitab | {"table_id": "2374", "table": {"cells": [["", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", ""], ["", "overall", "men", "women", "overall", "men", "women"], ["", "percent", "", "", "percent", "", ""], ["sex", "", "", "", "", "", ""], ["female", "30.... | None | None | which stem field of study had the largest proportion of stem graduates? | ["engineering and engineering technology"] |
656a9b7ece1a292ec6a7adbb45700331 | hitab | {"table_id": "2374", "table": {"cells": [["", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", ""], ["", "overall", "men", "women", "overall", "men", "women"], ["", "percent", "", "", "percent", "", ""], ["sex", "", "", "", "", "", ""], ["female", "30.... | None | None | what were the percentages of male and female stem graduates who had studied engineering or engineering technology respectively? | ["58.2", "24.1"] |
9d33271489283bbdab53f9215a3d6d36 | hitab | {"table_id": "2374", "table": {"cells": [["", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", ""], ["", "overall", "men", "women", "overall", "men", "women"], ["", "percent", "", "", "percent", "", ""], ["sex", "", "", "", "", "", ""], ["female", "30.... | None | None | who were more likely to have studied biological, general or integrated sciences,women or men? | ["women"] |
187b883133cc9718f30268500bc96cbc | hitab | {"table_id": "2374", "table": {"cells": [["", "sample including all stem graduates", "", "", "sample including only stem graduates employed in 2006 and 2016", "", ""], ["", "overall", "men", "women", "overall", "men", "women"], ["", "percent", "", "", "percent", "", ""], ["sex", "", "", "", "", "", ""], ["female", "30.... | None | None | what was the percentage of stem graduates who had studied mathematics or computer and information sciences? | ["25.1"] |
737d265941a309decb6af6262f09c13b | hitab | {"table_id": "2375", "table": {"cells": [["", "men", "", "women", ""], ["", "coefficient", "standard error", "coefficient", "standard error"], ["age group", "", "", "", ""], ["35 to 44", "-0.033", "0.007", "-0.028", "0.010"], ["45 to 54", "-0.074", "0.008", "-0.069", "0.012"], ["marital status", "", "", "", ""], ["sing... | None | None | who were less likely to work in a stem occupation,men and women who identified as visible minorities or their counterparts who did not identify as a minority? | ["visible minority status"] |
b8a983c6ffd022d0c30e616cdbdfa032 | hitab | {"table_id": "2375", "table": {"cells": [["", "men", "", "women", ""], ["", "coefficient", "standard error", "coefficient", "standard error"], ["age group", "", "", "", ""], ["35 to 44", "-0.033", "0.007", "-0.028", "0.010"], ["45 to 54", "-0.074", "0.008", "-0.069", "0.012"], ["marital status", "", "", "", ""], ["sing... | None | None | who were less likely to be employed in a stem occupation in 2006,aboriginal men with stem credentials or their non-aboriginal counterparts? | ["aboriginal identity"] |
db92b83881411c662ca5ff535c1e40ad | hitab | {"table_id": "2375", "table": {"cells": [["", "men", "", "women", ""], ["", "coefficient", "standard error", "coefficient", "standard error"], ["age group", "", "", "", ""], ["35 to 44", "-0.033", "0.007", "-0.028", "0.010"], ["45 to 54", "-0.074", "0.008", "-0.069", "0.012"], ["marital status", "", "", "", ""], ["sing... | None | None | who were less likely to be employed in a stem occupation,stem graduates who held a college diploma or a university certificate below the bachelor's level or bachelor's degree holders. | ["college, cegep or other non-university certificate or diploma or university certificate below a bachelor's degree"] |
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