zhoujun/hitab · Datasets at Hugging Face

id stringlengths 32 32	question stringlengths 20 359	table_id stringlengths 1 30	table dict	answer list
ba63db2177f612a2b57a3c88c89a98bf	among 15- to 24-year-olds with lifetime depression,what are the percentages of those who consulted a professional and those who consulted an informal source in the past 12 months respectively?	1449	{ "cells": [ [ "source of support", "of those with lifetime depression, % who used source in past year", "", "", "of those who used source, % who perceived that they received a lot/some help", "", "", "of those with lifetime suicidal thoughts, % who used source in p...	[ "41.6", "61.4" ]
5791abfe141eaa9f0cf124bd6a1e6baa	list the top2 common informal sources and their percentages.	1449	{ "cells": [ [ "source of support", "of those with lifetime depression, % who used source in past year", "", "", "of those who used source, % who perceived that they received a lot/some help", "", "", "of those with lifetime suicidal thoughts, % who used source in p...	[ "friend", "family member" ]
a1235e0c8b7a2d7bbcb6c3430396f033	among those who reported lifetime suicidal thoughts,what are the percentages of those who consulted a professional and consulted an informal source respectively?	1449	{ "cells": [ [ "source of support", "of those with lifetime depression, % who used source in past year", "", "", "of those who used source, % who perceived that they received a lot/some help", "", "", "of those with lifetime suicidal thoughts, % who used source in p...	[ "35.8", "57.9" ]
741aadaf64a33162a35bf237102e14bb	how many goals did boylan score for canvey island in his five-year tenure?	144_totto17352-3	{ "cells": [ [ "club", "season", "league", "", "fa cup", "", "league cup", "", "other", "", "total", "" ], [ "", "", "apps", "goals", "apps", "goals", "apps", "goals", "apps", ...	[ "176.0" ]
48ab4be783c3bdfcd1ee6fe5733ee088	what was the number of appearances made by hutchinson for torquay totally?	144_totto17425-4	{ "cells": [ [ "club", "season", "league", "", "fa cup", "", "other", "", "total", "" ], [ "", "", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals" ], [ "...	[ "338.0" ]
2ad8450d6eae3a2936c790b2ce4c86d1	what percentages are the employment incidence for cec immigrants higher than fswp immigrants in the first year and fifth year respectively?	1451	{ "cells": [ [ "", "federal skilled workers", "provincial nominees", "quebec skilled workers", "canadian experience class" ], [ "", "percent", "", "", "" ], [ "first full year after immigration", "", "", "", ...	[ "14.9", "6.3" ]
9ff3d5fcf23db283b7003d3045f1a833	what percentages did cec immigrants earned more than fswp immigrants in the first full year and fifth year respectively?	1452	{ "cells": [ [ "", "federal skilled workers", "provincial nominees", "quebec skilled workers", "canadian experience class" ], [ "", "2017 constant dollars", "", "", "" ], [ "first full year after immigration", "", "", ...	[ "0.562945", "0.297297" ]
7d18df6e0153343786603cbcc890aa05	who had lower earnings in the fifth year after immigration,pnp immigrants or fswp immigrants.	1452	{ "cells": [ [ "", "federal skilled workers", "provincial nominees", "quebec skilled workers", "canadian experience class" ], [ "", "2017 constant dollars", "", "", "" ], [ "first full year after immigration", "", "", ...	[ "provincial nominees" ]
5251e5ad3fbb3fcf11a6368870331e1d	who had the lowest earnings in the first year and fifth year after immigration respectively?	1452	{ "cells": [ [ "", "federal skilled workers", "provincial nominees", "quebec skilled workers", "canadian experience class" ], [ "", "2017 constant dollars", "", "", "" ], [ "first full year after immigration", "", "", ...	[ "quebec skilled workers" ]
f7065385ae19ee5cbef2616a69bd9a3f	who had lower adjusted earnings in the fifth year, pnp immigrants or fswp immigrants.	1453	{ "cells": [ [ "", "first full year after immigration", "fifth year after immigration" ], [ "", "percent", "" ], [ "employment incidence", "", "" ], [ "federal skilled workers", "84.1", "87.7" ], [ "provi...	[ "provincial nominees" ]
75b5ddeafdbfc3b7657c1a8a3705862d	among women who walk alone in their neighbourhood after dark, what's the percentage of those who said they felt very safe?	1455	{ "cells": [ [ "selected sociodemographic characteristics", "sense of safety walking alone in one's neighborhood after dark", "", "", "satisfaction with personal safety from crime", "", "", "" ], [ "", "very safe", "reasonably safe", ...	[ "38.0" ]
5197d6febaed0aa7d2ed329fafabb6a3	when walking alone in their neighbourhood after dark,how many times did women feel somewhat or very unsafe than men?	1455	{ "cells": [ [ "selected sociodemographic characteristics", "sense of safety walking alone in one's neighborhood after dark", "", "", "satisfaction with personal safety from crime", "", "", "" ], [ "", "very safe", "reasonably safe", ...	[ "3" ]
27d9a5de577d47595ca11e58c2283f99	which age group was the least likely group to feel very safe when walking alone in their neighbourhood after dark.	1455	{ "cells": [ [ "selected sociodemographic characteristics", "sense of safety walking alone in one's neighborhood after dark", "", "", "satisfaction with personal safety from crime", "", "", "" ], [ "", "very safe", "reasonably safe", ...	[ "15 to 24" ]
86abeb5f094713afbcf70bafcb50a40e	who were the least likely to report feeling very safe walking alone in their neighbourhood after dark?	1458	{ "cells": [ [ "selected housing and neighbourhood characteristics", "sense of safety walking alone in one's neighbourhood after dark", "", "", "satisfaction with personal security from crime", "", "", "" ], [ "", "very safe", "reasonably s...	[ "apartment in building with five storeys or more" ]
652b1f9268a3ad29b678a02c0ef826d0	who were less likely to say they felt very safe,people living in a neighbourhood where there is a high proportion of apartments or where the proportion was lower.	1458	{ "cells": [ [ "selected housing and neighbourhood characteristics", "sense of safety walking alone in one's neighbourhood after dark", "", "", "satisfaction with personal security from crime", "", "", "" ], [ "", "very safe", "reasonably s...	[ "high" ]
05bacb39dfcb6b57c84c55cad0e5ec12	how many million dollars of software r&d did businesses perform in 2018?	145_7_nsf21316-tab002	{ "cells": [ [ "selected industry, naics code, and company size", "total", "", "biotechnology", "", "nanotechnology", "", "software", "" ], [ "", "companiesa", "amount", "companiesa", "amount", "companiesa", "a...	[ "165576.0" ]
a4f5d62d0551e1e45c848fd2506d3095	of the approximately 26,000 companies with 10 or more employees that performed r&d in 2018, how many percentage points of companies are estimated to have performed software r&d?	145_7_nsf21316-tab002	{ "cells": [ [ "selected industry, naics code, and company size", "total", "", "biotechnology", "", "nanotechnology", "", "software", "" ], [ "", "companiesa", "amount", "companiesa", "amount", "companiesa", "a...	[ "0.419336" ]
589e5cfead5004f643facbb16cf2d75d	which club did duyshobekov play for in 2018?	145_totto17439-0	{ "cells": [ [ "club", "season", "league", "", "", "cup", "", "league cup", "", "continental", "", "total", "" ], [ "", "", "division", "apps", "goals", "apps", "goals", "apps", ...	[ "kelantan" ]
ff31765e4495a4e6ee0bd151a9e2acde	how many rushing yards did david johnson get in 2015?	145_totto17471-1	{ "cells": [ [ "season", "team", "games", "", "rushing", "", "", "", "", "receiving", "", "", "", "", "fumbles", "" ], [ "", "", "gp", "gs", "att", "yds", "avg", ...	[ "581.0" ]
62e09391b4c777f1c9a953b99d12ca81	which weight category did boys in china participate in?	145_totto17482-2	{ "cells": [ [ "noc", "boys", "", "", "", "", "girls", "", "", "", "", "total" ], [ "", "48 kg", "55 kg", "63 kg", "73 kg", "+73 kg", "44 kg", "49 kg", "55 kg", "63 kg", ...	[ "+73 kg" ]
60d970ff21504e4cd31b906fd469b545	which club did gareth ainsworth play for in 1996-97?	145_totto17493-3	{ "cells": [ [ "club", "season", "division", "league", "", "fa cup", "", "league cup", "", "other", "", "total", "" ], [ "", "", "", "apps", "goals", "apps", "goals", "apps", ...	[ "lincoln city" ]
5cb61cf63c9e14e78187cddb8db7209d	what were the key variables of census (long form) and nhs.	1461	{ "cells": [ [ "data source", "key variables" ], [ "census (long form) and nhs", "family composition and marital status, education, labour, occupation, income and source of income, indigenous identity, ethnic diversity and immigration, country of birth, housing, language, collectiv...	[ "family composition and marital status, education, labour, occupation, income and source of income, indigenous identity, ethnic diversity and immigration, country of birth, housing, language, collective dwellings" ]
343c56e704a185de83708bb3c9202e75	what's the percentage of canchec cohort members aged 20 or older who had complete postal code histories in 2011?	1463	{ "cells": [ [ "percentage complete", "canchec year", "", "", "", "" ], [ "", "1991", "1996", "2001", "2006", "2011" ], [ "100% complete", "68.6", "66.5", "69.4", "69.8", "74.1" ], [...	[ "74.1" ]
0d8406914ac4734ffa2f39b3e2f930fa	what's the percentage of working adults aged 25 to 64 with a university education who stated that their job only required a high school education.	1464	{ "cells": [ [ "", "distribution across characteristics", "in a job requesting a high school-level education or lower", "in a job requesting a college-level education", "in a job requesting a university-level education" ], [ "", "percent", "", "", ...	[ "12.2" ]
3ede72965546a9083addec9a9544e18c	among working adults aged 25 to 64 with a university education,what were the percentages of those who thought that their job required a college-level education and required a university education respectively?	1464	{ "cells": [ [ "", "distribution across characteristics", "in a job requesting a high school-level education or lower", "in a job requesting a college-level education", "in a job requesting a university-level education" ], [ "", "percent", "", "", ...	[ "19.1", "68.7" ]
48d85727ae71b1d5993d31f9dcedaccb	what's the percentage of the "overqualified" population"--those who reported that their job required no more than a high school education.	1464	{ "cells": [ [ "", "distribution across characteristics", "in a job requesting a high school-level education or lower", "in a job requesting a college-level education", "in a job requesting a university-level education" ], [ "", "percent", "", "", ...	[ "12.2" ]
1e7c8da22e58ec474bd23dc41cc84c18	which group's proportion did not vary across age groups or gender?	1464	{ "cells": [ [ "", "distribution across characteristics", "in a job requesting a high school-level education or lower", "in a job requesting a college-level education", "in a job requesting a university-level education" ], [ "", "percent", "", "", ...	[ "in a job requesting a high school-level education or lower" ]
9f21d2646aae24882740c0f015ec144d	what's the percentage of foreign-born workers with a foreign university degree who reported that they were in a job requiring a high school education.	1464	{ "cells": [ [ "", "distribution across characteristics", "in a job requesting a high school-level education or lower", "in a job requesting a college-level education", "in a job requesting a university-level education" ], [ "", "percent", "", "", ...	[ "26.6" ]
91e02691cfce9bd9a968ea1dc69c87af	what's the percentage of university graduates whose mother tongue was neither english nor french and said they were working in a job that required no more than a high school diploma.	1464	{ "cells": [ [ "", "distribution across characteristics", "in a job requesting a high school-level education or lower", "in a job requesting a college-level education", "in a job requesting a university-level education" ], [ "", "percent", "", "", ...	[ "20.4" ]
7ffbd91f0d62bdb345650118c13d1262	among people who had a degree in humanities, languages or arts,what's the percentage of those who said that they were working in a high school-level position.	1464	{ "cells": [ [ "", "distribution across characteristics", "in a job requesting a high school-level education or lower", "in a job requesting a college-level education", "in a job requesting a university-level education" ], [ "", "percent", "", "", ...	[ "21.1" ]
c0481834b0a08ce42ee9a4b878b0e0fb	among people who had a degree in social science, business or law ,what's the percentage of those who said that they were working in a high school-level position.	1464	{ "cells": [ [ "", "distribution across characteristics", "in a job requesting a high school-level education or lower", "in a job requesting a college-level education", "in a job requesting a university-level education" ], [ "", "percent", "", "", ...	[ "13.5" ]
91a310183df0d73cc386b12802c2bd15	among university graduates whose literacy skills were in the lowest range (levels 0 and 1) and in level 2 ,what were the percentages of those who reported that their current job required no more than a high school education respectively?	1464	{ "cells": [ [ "", "distribution across characteristics", "in a job requesting a high school-level education or lower", "in a job requesting a college-level education", "in a job requesting a university-level education" ], [ "", "percent", "", "", ...	[ "34.1", "20.6" ]
d42fd3e4b40347cbde73087a58ae9ea1	among university graduates whose literacy skills in level 3 and in level 4 or level 5,what were the percentages of those who reported that their job required no more than a high school diploma respectively?	1464	{ "cells": [ [ "", "distribution across characteristics", "in a job requesting a high school-level education or lower", "in a job requesting a college-level education", "in a job requesting a university-level education" ], [ "", "percent", "", "", ...	[ "9.9", "6.8" ]
8c07d562f6f10bd6dd153b0ce841ab13	among those who had higher literacy skills,who were more likely to be overqualified, foreign-born workers who received their highest university degree outside canada or canadian-born workers?	1465	{ "cells": [ [ "", "high skilled", "", "low skilled", "" ], [ "", "literacy", "numeracy", "literacy", "numeracy" ], [ "", "percent", "", "", "" ], [ "gender", "", "", "", ...	[ "foreign-born / foreign degree" ]
021f22ef4f6c68e5aa84c3af7076ac50	among those who had higher literacy skills,who had the lowest probability of being overqualified.	1465	{ "cells": [ [ "", "high skilled", "", "low skilled", "" ], [ "", "literacy", "numeracy", "literacy", "numeracy" ], [ "", "percent", "", "", "" ], [ "gender", "", "", "", ...	[ "foreign-born / canadian degree" ]
9639d8abda4b2ed2f8a4bb4ae2bb98bc	within the lower skilled population of the numeracy model,what were the percentages of foreign-born workers who earned their degree in canada and those who were born in canada respectively?	1465	{ "cells": [ [ "", "high skilled", "", "low skilled", "" ], [ "", "literacy", "numeracy", "literacy", "numeracy" ], [ "", "percent", "", "", "" ], [ "gender", "", "", "", ...	[ "3.8", "13.8" ]
dc815c3777ea6de629769f10f9e2e42b	within the lower skilled population in both models,what were the probabilities of the foreign-born and foreign-educated had respectively?	1465	{ "cells": [ [ "", "high skilled", "", "low skilled", "" ], [ "", "literacy", "numeracy", "literacy", "numeracy" ], [ "", "percent", "", "", "" ], [ "gender", "", "", "", ...	[ "25.3", "27.5" ]
ea708aefb8e645d324411c7a693b9c10	within the higher skilled population in both models,who had greater probability of being overqualified,graduates of humanities, languages and arts programs or graduates of stem programs respectively?	1465	{ "cells": [ [ "", "high skilled", "", "low skilled", "" ], [ "", "literacy", "numeracy", "literacy", "numeracy" ], [ "", "percent", "", "", "" ], [ "gender", "", "", "", ...	[ "humanities, languages, arts" ]
5edbee08823923db22b6e9fa5ae87a84	among workers with higher literacy skills,what was the gap between graduates of humanities, languages and arts programs and graduates of stem programs.	1465	{ "cells": [ [ "", "high skilled", "", "low skilled", "" ], [ "", "literacy", "numeracy", "literacy", "numeracy" ], [ "", "percent", "", "", "" ], [ "gender", "", "", "", ...	[ "10" ]
268c1649c1dd197b3890b8da679570b6	among workers with lower literacy skills,who had a significantly greater probability of being overqualified,graduates of social science, business and law programs or their lower-skilled counterparts in stem programs.	1465	{ "cells": [ [ "", "high skilled", "", "low skilled", "" ], [ "", "literacy", "numeracy", "literacy", "numeracy" ], [ "", "percent", "", "", "" ], [ "gender", "", "", "", ...	[ "social science, business, law" ]
bfd88227d9fcb547848c94bf8835e66b	among university graduates with higher literacy levels,who were the least likely to be overqualified.	1465	{ "cells": [ [ "", "high skilled", "", "low skilled", "" ], [ "", "literacy", "numeracy", "literacy", "numeracy" ], [ "", "percent", "", "", "" ], [ "gender", "", "", "", ...	[ "french" ]
0bd02647967069f8c00c7cc42231142c	among graduates with lower skill levels,what was the percentage of those whose mother tongue was a language other than english or french?	1465	{ "cells": [ [ "", "high skilled", "", "low skilled", "" ], [ "", "literacy", "numeracy", "literacy", "numeracy" ], [ "", "percent", "", "", "" ], [ "gender", "", "", "", ...	[ "24.6" ]
fc9e0e3652587857297ccdc523a9ee2e	what was the percentage of university graduates working in occupations requiring a high school diploma or less education.	1466	{ "cells": [ [ "self-assessment method", "noc 2011 method", "", "", "" ], [ "", "skill level c/d: high school or less", "skill level b: college", "skill level a: university and managers", "total" ], [ "", "percent", "", ...	[ "14.5" ]
db7c5bb2686c0261c32d3fcf5076574b	among the 12% who were found to be overqualified using the self-assessment,what was the percentage of those who would have been overqualified.	1466	{ "cells": [ [ "self-assessment method", "noc 2011 method", "", "", "" ], [ "", "skill level c/d: high school or less", "skill level b: college", "skill level a: university and managers", "total" ], [ "", "percent", "", ...	[ "7.5" ]
6fcb0267e79a25e9b9c2f31bf3eede43	among the 69% who considered themselves as having a job requiring a university education,what was the percentage of those overqualified ?	1466	{ "cells": [ [ "self-assessment method", "noc 2011 method", "", "", "" ], [ "", "skill level c/d: high school or less", "skill level b: college", "skill level a: university and managers", "total" ], [ "", "percent", "", ...	[ "2.8" ]
99b994741a4ce69433c5a57450a9eb34	what method produces a minimum estimate of the population whose mother tongue is english, french or a language other than english or french.	1467	{ "cells": [ [ "method", "english", "french", "other languages", "multiple", "total" ], [ "", "number", "", "", "", "" ], [ "exclusion", "19,460,850", "7,166,705", "7,321,065", "818,630", "3...	[ "exclusion" ]
949adf0fd338417a9210d0391027a503	how many respondents who reported more than one mother tongue in 2016 are not included in any of the three main groups?	1467	{ "cells": [ [ "method", "english", "french", "other languages", "multiple", "total" ], [ "", "number", "", "", "", "" ], [ "exclusion", "19,460,850", "7,166,705", "7,321,065", "818,630", "3...	[ "818630.0" ]
b8df860d52f3467f486c2b04c8f9fc3e	how many million dollars did businesses spend on research and development performance in the united states in 2016?	146_70_tab1	{ "cells": [ [ "selected characteristic and company size", "2015", "2016" ], [ "domestic r&d performancea", "355821", "374685" ], [ "type of r&db", "", "" ], [ "basic research", "21792", "24644" ], [ "app...	[ "374685.0" ]
65fae72001b92f578d8369ed5b7b6d97	businesses spent $375 billion on research and development performance in the united states in 2016, how many percentage points of increasing from 2015?	146_70_tab1	{ "cells": [ [ "selected characteristic and company size", "2015", "2016" ], [ "domestic r&d performancea", "355821", "374685" ], [ "type of r&db", "", "" ], [ "basic research", "21792", "24644" ], [ "app...	[ "0.053015" ]
a1fe07b4af1f5727f706b69090e927dc	how many million dollars was funding from the companies' own sources in 2016?	146_70_tab1	{ "cells": [ [ "selected characteristic and company size", "2015", "2016" ], [ "domestic r&d performancea", "355821", "374685" ], [ "type of r&db", "", "" ], [ "basic research", "21792", "24644" ], [ "app...	[ "317731.0" ]
3e70392abd7304d0e71378d64eb80327	funding from the companies' own sources was $318 billion in 2016, how many percent of increasing from 2015?	146_70_tab1	{ "cells": [ [ "selected characteristic and company size", "2015", "2016" ], [ "domestic r&d performancea", "355821", "374685" ], [ "type of r&db", "", "" ], [ "basic research", "21792", "24644" ], [ "app...	[ "0.070966" ]
380e109cec50755d78e71d0a0a452623	how many million dollars were funding from other sources in 2016?	146_70_tab1	{ "cells": [ [ "selected characteristic and company size", "2015", "2016" ], [ "domestic r&d performancea", "355821", "374685" ], [ "type of r&db", "", "" ], [ "basic research", "21792", "24644" ], [ "app...	[ "56954.0" ]
15a389bd07fd86f69828372bbbd79b0b	how many million dollars were funding from other sources in 2015?	146_70_tab1	{ "cells": [ [ "selected characteristic and company size", "2015", "2016" ], [ "domestic r&d performancea", "355821", "374685" ], [ "type of r&db", "", "" ], [ "basic research", "21792", "24644" ], [ "app...	[ "59144.0" ]
16f8a0c5b32f6aa2f5d7ea9358014bb2	what was the number of league and cup appearances made by rob kozluk for the club sheffield united.	146_totto17509-1	{ "cells": [ [ "club", "season", "division", "league", "", "fa cup", "", "league cup", "", "other", "", "total", "" ], [ "", "", "", "apps", "goals", "apps", "goals", "apps", ...	[ "236.0" ]
1516fc9f35db6b5dc452a7dbfc98c666	which club did fernando juarez play for in 2016?	146_totto17537-2	{ "cells": [ [ "club", "season", "league", "", "", "cup", "", "league cup", "", "continental", "", "other", "", "total", "" ], [ "", "", "division", "apps", "goals", "apps", ...	[ "talleres" ]
e63c841a97e22ab569f34a1d4176b637	for all firms with immigrant owners, what was the percentage points of likelihood of implementing a product innovation higher than for firms with canadian-born owners?	147	{ "cells": [ [ "", "innovation", "", "", "" ], [ "", "goods or services", "production process or method", "organizational method", "new way of selling" ], [ "all immigrants", "", "", "", "" ], [ ...	[ "0.023" ]
65429033b10bdf7a0c7c4499298c125e	for process innovations, what was the percentage points of the likelihood higher for immigrant-owned firms?	147	{ "cells": [ [ "", "innovation", "", "", "" ], [ "", "goods or services", "production process or method", "organizational method", "new way of selling" ], [ "all immigrants", "", "", "", "" ], [ ...	[ "0.035" ]
c9aa6ec63d0daca3b55df4c74c1f2434	what was the percentage points of firms with immigrant owners who had been in canada for more than 20 years were also more likely to implement a process innovation than firms with canadian-born owners?	147	{ "cells": [ [ "", "innovation", "", "", "" ], [ "", "goods or services", "production process or method", "organizational method", "new way of selling" ], [ "all immigrants", "", "", "", "" ], [ ...	[ "0.037" ]
ada0759c9401f0aba13336a2d9d32aad	what were the differences translate to respondents whose mother tongue is english,french and a language other than english or french in numbers,respectively?	1470	{ "cells": [ [ "", "english", "", "", "", "french", "", "", "", "other language", "", "", "" ], [ "", "inclusion", "distribution", "difference", "variation", "inclusion", "distribution",...	[ "371890.0", "148335.0", "332305.0" ]
5ae75505e7dc84d1fa1c849897fe2c49	in quebec, what was the difference of respondents who reported english as their mother tongue from the english mother tongue group in number?	1470	{ "cells": [ [ "", "english", "", "", "", "french", "", "", "", "other language", "", "", "" ], [ "", "inclusion", "distribution", "difference", "variation", "inclusion", "distribution",...	[ "61907.0" ]
1acaba27ce9b9749c2b86cfed14a813a	what were the percentages of variation of respondents who reported french as their mother tongue in newfoundland and labrador and those in british columbia respectively?	1470	{ "cells": [ [ "", "english", "", "", "", "french", "", "", "", "other language", "", "", "" ], [ "", "inclusion", "distribution", "difference", "variation", "inclusion", "distribution",...	[ "11.2", "10.4" ]
5c2dc6bff102cec9499ba6aa99848f28	among households who had internet access at home,what was the percentage of those who had less than one internet-enabled device per household member.	1472	{ "cells": [ [ "", "lowest quartile", "second quartile", "third quartile", "highest quartile", "total" ], [ "", "percent", "", "", "", "" ], [ "less than one device per household member", "63.0", "60.7", ...	[ "58.4" ]
b125ef11095bceaff7bfb4206c2b6b2e	among households in the lowest income quartile,what was the percentage of those who had less than one internet-enabled device for each household member?	1472	{ "cells": [ [ "", "lowest quartile", "second quartile", "third quartile", "highest quartile", "total" ], [ "", "percent", "", "", "", "" ], [ "less than one device per household member", "63.0", "60.7", ...	[ "63.0" ]
6d941152b13c5b0e71d5d34d8e100bc3	among households in the highest income quartile,what was the percentage of those who had less than one device per household member?	1472	{ "cells": [ [ "", "lowest quartile", "second quartile", "third quartile", "highest quartile", "total" ], [ "", "percent", "", "", "", "" ], [ "less than one device per household member", "63.0", "60.7", ...	[ "56.2" ]
688c6d37013b76550060f3a4729a413a	who were less likely to have less than one device per household member,households in the third quartile or those in the lowest quartile?	1472	{ "cells": [ [ "", "lowest quartile", "second quartile", "third quartile", "highest quartile", "total" ], [ "", "percent", "", "", "", "" ], [ "less than one device per household member", "63.0", "60.7", ...	[ "third quartile" ]
308706288455b787adc791c287ecf15c	in 2014,what were the percentages of couples and lone parents in canada respectively?	1474	{ "cells": [ [ "", "1976", "2014" ], [ "", "percentage", "" ], [ "unattached individuals", "26.7", "34.8" ], [ "couple families with at least one child less than 16", "35.0", "18.2" ], [ "lone parent fami...	[ "18.2", "4.6" ]
ec277c221ab140188361c2c31dc73bcc	what was the percentage of family units with children aged less than 16 in 1976?	1474	{ "cells": [ [ "", "1976", "2014" ], [ "", "percentage", "" ], [ "unattached individuals", "26.7", "34.8" ], [ "couple families with at least one child less than 16", "35.0", "18.2" ], [ "lone parent fami...	[ "38.6" ]
1a5251c298c388983b5e65c2ee54485a	who were the youngest on average,stay-at-home mothers or single-earner mothers or mothers who were part of a dual-earner couple?	1476	{ "cells": [ [ "", "mother", "", "", "father", "", "" ], [ "", "stay-at-home", "single-earner", "dual-earner", "stay-at-home", "single-earner", "dual-earner" ], [ "", "average", "", "", ...	[ "stay-at-home" ]
a23da01a6074d8118607629aa21be809	what were the average ages of stay-at-home mothers and single-earner mothers and mothers who were in a dual-earning couple respectively?	1476	{ "cells": [ [ "", "mother", "", "", "father", "", "" ], [ "", "stay-at-home", "single-earner", "dual-earner", "stay-at-home", "single-earner", "dual-earner" ], [ "", "average", "", "", ...	[ "36.6", "39.4", "38.3" ]
7088f6715d1210c6194bc79f0b6bb4e6	who were the most likely to have younger children,stay-at-home mothers or single-earner mothers or mothers who were part of a dual-earner couple?	1476	{ "cells": [ [ "", "mother", "", "", "father", "", "" ], [ "", "stay-at-home", "single-earner", "dual-earner", "stay-at-home", "single-earner", "dual-earner" ], [ "", "average", "", "", ...	[ "stay-at-home" ]
4609364aec5f4c3e8e9878e1991dbc4b	what was the percentage of stay-at-home mothers who had at least one child under the age of 5 at home?	1476	{ "cells": [ [ "", "mother", "", "", "father", "", "" ], [ "", "stay-at-home", "single-earner", "dual-earner", "stay-at-home", "single-earner", "dual-earner" ], [ "", "average", "", "", ...	[ "57.7" ]
633af89d7914c05446ea88bda2e0edb6	what were the percentages of single-earner mothers and dual-earner mothers who had at least one child under the age of 5 at home respectively?	1476	{ "cells": [ [ "", "mother", "", "", "father", "", "" ], [ "", "stay-at-home", "single-earner", "dual-earner", "stay-at-home", "single-earner", "dual-earner" ], [ "", "average", "", "", ...	[ "36.1", "42.6" ]
66ff474265bfa054ff659cae719112e5	what was the multiple relationship between stay-at-home mothers and single-earner mothers,dual-earner mothers who had more than two children under 16.	1476	{ "cells": [ [ "", "mother", "", "", "father", "", "" ], [ "", "stay-at-home", "single-earner", "dual-earner", "stay-at-home", "single-earner", "dual-earner" ], [ "", "average", "", "", ...	[ "1.909774" ]
2d8d0a573d502e02b4e190fa49646df9	who were the most likely to have lower levels of education(less than high school)?	1476	{ "cells": [ [ "", "mother", "", "", "father", "", "" ], [ "", "stay-at-home", "single-earner", "dual-earner", "stay-at-home", "single-earner", "dual-earner" ], [ "", "average", "", "", ...	[ "stay-at-home" ]
8aca54b1dbc5effc9d86cd7352af26ae	what was the percentage of stay-at-home mothers who had a high school diploma or less.	1476	{ "cells": [ [ "", "mother", "", "", "father", "", "" ], [ "", "stay-at-home", "single-earner", "dual-earner", "stay-at-home", "single-earner", "dual-earner" ], [ "", "average", "", "", ...	[ "41" ]
432f98eb871621ea7c555fc6c091938d	what were the percentages of single-earner mothers and dual-earner mothers who had a high school diploma or less respectively?	1476	{ "cells": [ [ "", "mother", "", "", "father", "", "" ], [ "", "stay-at-home", "single-earner", "dual-earner", "stay-at-home", "single-earner", "dual-earner" ], [ "", "average", "", "", ...	[ "27.5", "19.9" ]
0d207dfe41815dfd777107e8d2d03c58	in 2014,what was the percentage of stay-at-home fathers who worked in 2013?	1476	{ "cells": [ [ "", "mother", "", "", "father", "", "" ], [ "", "stay-at-home", "single-earner", "dual-earner", "stay-at-home", "single-earner", "dual-earner" ], [ "", "average", "", "", ...	[ "35.8" ]
c96f6e47af256d95e8eef1a25375227f	what was the percentage of stay-at-home mothers who were employed in sales and service occupations.	1476	{ "cells": [ [ "", "mother", "", "", "father", "", "" ], [ "", "stay-at-home", "single-earner", "dual-earner", "stay-at-home", "single-earner", "dual-earner" ], [ "", "average", "", "", ...	[ "36.3" ]
1330fdc6ce4dff261cb53f509c725410	what were the percentages ofsingle-earner mothers and dual-earning mothers who were employed in sales and service occupations respectively?	1476	{ "cells": [ [ "", "mother", "", "", "father", "", "" ], [ "", "stay-at-home", "single-earner", "dual-earner", "stay-at-home", "single-earner", "dual-earner" ], [ "", "average", "", "", ...	[ "25.6", "19.7" ]
d6eafed780019afef39c87b95ed06697	who were more likely to be working in health-related occupations and occupations in social science, education, government and religion,single-earner and dual-earner mothers or stay-at-home mothers ?	1476	{ "cells": [ [ "", "mother", "", "", "father", "", "" ], [ "", "stay-at-home", "single-earner", "dual-earner", "stay-at-home", "single-earner", "dual-earner" ], [ "", "average", "", "", ...	[ "single-earner", "dual-earner" ]
f57ed8371bb3446f9f49a0d968f7729b	who were the most likely to have lower levels of education(less than high school) of fathers?	1476	{ "cells": [ [ "", "mother", "", "", "father", "", "" ], [ "", "stay-at-home", "single-earner", "dual-earner", "stay-at-home", "single-earner", "dual-earner" ], [ "", "average", "", "", ...	[ "stay-at-home" ]
21f6b84a276028e3e956711018f96b50	what was the percentage of stay-at-home fathers who had a high school diploma or less?	1476	{ "cells": [ [ "", "mother", "", "", "father", "", "" ], [ "", "stay-at-home", "single-earner", "dual-earner", "stay-at-home", "single-earner", "dual-earner" ], [ "", "average", "", "", ...	[ "44.5" ]
3a253978af4fdc2c2fff2ef0b2632d23	what were the percentages of single-earner fathers and dual-earner fathers who had a high school diploma or less respectively?	1476	{ "cells": [ [ "", "mother", "", "", "father", "", "" ], [ "", "stay-at-home", "single-earner", "dual-earner", "stay-at-home", "single-earner", "dual-earner" ], [ "", "average", "", "", ...	[ "32.9", "26.9" ]
2a15652e84018720805c6f08a6c56f89	what were the percentages of stay-at-home fathers who were in trades, transport and equipment operator and related occupations, or in primary industry respectively?	1476	{ "cells": [ [ "", "mother", "", "", "father", "", "" ], [ "", "stay-at-home", "single-earner", "dual-earner", "stay-at-home", "single-earner", "dual-earner" ], [ "", "average", "", "", ...	[ "50.5" ]
590e85a77fd819d32d1ae6461e2b3776	what were the percentages of single-earner fathers and dual-earner fathers who were employed in management occupations, or in natural and applied sciences or in business, finance and administrative occupations respectively?	1476	{ "cells": [ [ "", "mother", "", "", "father", "", "" ], [ "", "stay-at-home", "single-earner", "dual-earner", "stay-at-home", "single-earner", "dual-earner" ], [ "", "average", "", "", ...	[ "35.4", "36.9" ]
89abef6f4471ad1005786dab82223ad6	who were more likely to be working in the public sector, dual-earner fathers or other fathers?	1476	{ "cells": [ [ "", "mother", "", "", "father", "", "" ], [ "", "stay-at-home", "single-earner", "dual-earner", "stay-at-home", "single-earner", "dual-earner" ], [ "", "average", "", "", ...	[ "dual-earner" ]
a6895c67c1ed7232996895757a60bc99	which school had higher student-teacher ratio, private schools or public schools?	1477	{ "cells": [ [ "", "public high school", "private high school" ], [ "", "mean", "" ], [ "sectarian", "0.318", "0.806" ], [ "semestered", "0.692", "0.255" ], [ "enrolment", "1,079.9", "712.8" ...	[ "private high school" ]
bdf6a729c58bf8153def2066e24e736a	which school had higher average annual number of instructional hours,private schools or public schools?	1477	{ "cells": [ [ "", "public high school", "private high school" ], [ "", "mean", "" ], [ "sectarian", "0.318", "0.806" ], [ "semestered", "0.692", "0.255" ], [ "enrolment", "1,079.9", "712.8" ...	[ "public high school" ]
1d7308611a6e030a239b1be0bc770e79	which school had larger average enrolment, private schools or public schools?	1477	{ "cells": [ [ "", "public high school", "private high school" ], [ "", "mean", "" ], [ "sectarian", "0.318", "0.806" ], [ "semestered", "0.692", "0.255" ], [ "enrolment", "1,079.9", "712.8" ...	[ "public high school" ]
5b763d6f345d9b39934a758508bbc877	which school was more likely to be sectarian,private schools or public schools?	1477	{ "cells": [ [ "", "public high school", "private high school" ], [ "", "mean", "" ], [ "sectarian", "0.318", "0.806" ], [ "semestered", "0.692", "0.255" ], [ "enrolment", "1,079.9", "712.8" ...	[ "private high school" ]
be6429fa816ae89efe59c271fc1af707	what were the percentages of principals believed that low teacher expectations of students did not hinder learning at all in the private sector and public sector respectively?	1477	{ "cells": [ [ "", "public high school", "private high school" ], [ "", "mean", "" ], [ "sectarian", "0.318", "0.806" ], [ "semestered", "0.692", "0.255" ], [ "enrolment", "1,079.9", "712.8" ...	[ "0.716", "0.528" ]
10dc0d827672862ef9352a71d10600c3	which played the least role in accounting for the differences in any of the academic outcomes?	1478	{ "cells": [ [ "outcome variable", "province of school attendance", "socio-economic", "school resources and practices", "peers", "unobserved factors", "total" ], [ "", "proportion", "", "", "", "", "" ], [ "r...	[ "school resources and practices" ]
6366b9d3540246bf91718283944feb6d	how much did socio-economic characteristics ,peers and province of school attendance accounted for the difference in average reading scores respectively?	1478	{ "cells": [ [ "outcome variable", "province of school attendance", "socio-economic", "school resources and practices", "peers", "unobserved factors", "total" ], [ "", "proportion", "", "", "", "", "" ], [ "r...	[ "0.271", "0.283", "0.293" ]
fc95599aaafce003da7edd1b7caf387a	how much did socio-economic characteristics and peers accounted for the difference in university attendance respectively?	1478	{ "cells": [ [ "outcome variable", "province of school attendance", "socio-economic", "school resources and practices", "peers", "unobserved factors", "total" ], [ "", "proportion", "", "", "", "", "" ], [ "r...	[ "0.547", "0.364" ]
36689189010c51ee6f7ea5b419bf32ac	what percentage did a university bachelor's degree associating with median earnings per year for youth from families in the bottom income quintile?	1479	{ "cells": [ [ "", "college diploma", "", "", "university bachelor's degree", "", "" ], [ "", "coefficient", "standard error", "percent effect", "coefficient", "standard error", "percent effect" ], [ "men and...	[ "235.7" ]
4a7cf2007f94ef56a313a65b1112ee13	what percentage did a university bachelor's degree associating with median earnings per year for youth from families in the top income quintile?	1479	{ "cells": [ [ "", "college diploma", "", "", "university bachelor's degree", "", "" ], [ "", "coefficient", "standard error", "percent effect", "coefficient", "standard error", "percent effect" ], [ "men and...	[ "54.0" ]
b8d2eeaa1c9d5ea918a63549ea36f034	what percentages did a college education associating with median earnings per year for youth from families in the bottom income quintile and the top income quintile respectively?	1479	{ "cells": [ [ "", "college diploma", "", "", "university bachelor's degree", "", "" ], [ "", "coefficient", "standard error", "percent effect", "coefficient", "standard error", "percent effect" ], [ "men and...	[ "140.3", "16.3" ]
4176490f33746b57c7b94688797cdf4c	which group did a college diploma and a university bachelor's degree associating with median earnings per year more,lower-income families or higher-income families?	1479	{ "cells": [ [ "", "college diploma", "", "", "university bachelor's degree", "", "" ], [ "", "coefficient", "standard error", "percent effect", "coefficient", "standard error", "percent effect" ], [ "men and...	[ "bottom income quintile" ]
ec91a31bafa4632d39e8ad7fd4240f6b	how many trillion dollars did u.s. companies that performed or funded r&d report domestic net sales in 2016?	147_70_tab3	{ "cells": [ [ "industry, naics code, and company size", "domestic net sales (us$millions)a", "r&d intensity (%)b", "domestic employment (thousands)c", "" ], [ "", "", "", "total", "r&dd" ], [ "all industries, 21-33, 42-81", "...	[ "9191871.0" ]
321000e68ae35aa511c11ca13d98cdb2	for all industries, what was the percentage points of the r&d intensity?	147_70_tab3	{ "cells": [ [ "industry, naics code, and company size", "domestic net sales (us$millions)a", "r&d intensity (%)b", "domestic employment (thousands)c", "" ], [ "", "", "", "total", "r&dd" ], [ "all industries, 21-33, 42-81", "...	[ "4.1" ]

ba63db2177f612a2b57a3c88c89a98bf

among 15- to 24-year-olds with lifetime depression,what are the percentages of those who consulted a professional and those who consulted an informal source in the past 12 months respectively?

1449

{ "cells": [ [ "source of support", "of those with lifetime depression, % who used source in past year", "", "", "of those who used source, % who perceived that they received a lot/some help", "", "", "of those with lifetime suicidal thoughts, % who used source in p...

[ "41.6", "61.4" ]

5791abfe141eaa9f0cf124bd6a1e6baa

list the top2 common informal sources and their percentages.

1449

{ "cells": [ [ "source of support", "of those with lifetime depression, % who used source in past year", "", "", "of those who used source, % who perceived that they received a lot/some help", "", "", "of those with lifetime suicidal thoughts, % who used source in p...

[ "friend", "family member" ]

a1235e0c8b7a2d7bbcb6c3430396f033

among those who reported lifetime suicidal thoughts,what are the percentages of those who consulted a professional and consulted an informal source respectively?

1449

{ "cells": [ [ "source of support", "of those with lifetime depression, % who used source in past year", "", "", "of those who used source, % who perceived that they received a lot/some help", "", "", "of those with lifetime suicidal thoughts, % who used source in p...

[ "35.8", "57.9" ]

741aadaf64a33162a35bf237102e14bb

how many goals did boylan score for canvey island in his five-year tenure?

144_totto17352-3

{ "cells": [ [ "club", "season", "league", "", "fa cup", "", "league cup", "", "other", "", "total", "" ], [ "", "", "apps", "goals", "apps", "goals", "apps", "goals", "apps", ...

[ "176.0" ]

48ab4be783c3bdfcd1ee6fe5733ee088

what was the number of appearances made by hutchinson for torquay totally?

144_totto17425-4

{ "cells": [ [ "club", "season", "league", "", "fa cup", "", "other", "", "total", "" ], [ "", "", "apps", "goals", "apps", "goals", "apps", "goals", "apps", "goals" ], [ "...

[ "338.0" ]

2ad8450d6eae3a2936c790b2ce4c86d1

what percentages are the employment incidence for cec immigrants higher than fswp immigrants in the first year and fifth year respectively?

1451

{ "cells": [ [ "", "federal skilled workers", "provincial nominees", "quebec skilled workers", "canadian experience class" ], [ "", "percent", "", "", "" ], [ "first full year after immigration", "", "", "", ...

[ "14.9", "6.3" ]

9ff3d5fcf23db283b7003d3045f1a833

what percentages did cec immigrants earned more than fswp immigrants in the first full year and fifth year respectively?

1452

{ "cells": [ [ "", "federal skilled workers", "provincial nominees", "quebec skilled workers", "canadian experience class" ], [ "", "2017 constant dollars", "", "", "" ], [ "first full year after immigration", "", "", ...

[ "0.562945", "0.297297" ]

7d18df6e0153343786603cbcc890aa05

who had lower earnings in the fifth year after immigration,pnp immigrants or fswp immigrants.

1452

{ "cells": [ [ "", "federal skilled workers", "provincial nominees", "quebec skilled workers", "canadian experience class" ], [ "", "2017 constant dollars", "", "", "" ], [ "first full year after immigration", "", "", ...

[ "provincial nominees" ]

5251e5ad3fbb3fcf11a6368870331e1d

who had the lowest earnings in the first year and fifth year after immigration respectively?

1452

{ "cells": [ [ "", "federal skilled workers", "provincial nominees", "quebec skilled workers", "canadian experience class" ], [ "", "2017 constant dollars", "", "", "" ], [ "first full year after immigration", "", "", ...

[ "quebec skilled workers" ]

f7065385ae19ee5cbef2616a69bd9a3f

who had lower adjusted earnings in the fifth year, pnp immigrants or fswp immigrants.

1453

{ "cells": [ [ "", "first full year after immigration", "fifth year after immigration" ], [ "", "percent", "" ], [ "employment incidence", "", "" ], [ "federal skilled workers", "84.1", "87.7" ], [ "provi...

[ "provincial nominees" ]

75b5ddeafdbfc3b7657c1a8a3705862d

among women who walk alone in their neighbourhood after dark, what's the percentage of those who said they felt very safe?

1455

{ "cells": [ [ "selected sociodemographic characteristics", "sense of safety walking alone in one's neighborhood after dark", "", "", "satisfaction with personal safety from crime", "", "", "" ], [ "", "very safe", "reasonably safe", ...

[ "38.0" ]

5197d6febaed0aa7d2ed329fafabb6a3

when walking alone in their neighbourhood after dark,how many times did women feel somewhat or very unsafe than men?

1455

{ "cells": [ [ "selected sociodemographic characteristics", "sense of safety walking alone in one's neighborhood after dark", "", "", "satisfaction with personal safety from crime", "", "", "" ], [ "", "very safe", "reasonably safe", ...

[ "3" ]

27d9a5de577d47595ca11e58c2283f99

which age group was the least likely group to feel very safe when walking alone in their neighbourhood after dark.

1455

{ "cells": [ [ "selected sociodemographic characteristics", "sense of safety walking alone in one's neighborhood after dark", "", "", "satisfaction with personal safety from crime", "", "", "" ], [ "", "very safe", "reasonably safe", ...

[ "15 to 24" ]

86abeb5f094713afbcf70bafcb50a40e

who were the least likely to report feeling very safe walking alone in their neighbourhood after dark?

1458

{ "cells": [ [ "selected housing and neighbourhood characteristics", "sense of safety walking alone in one's neighbourhood after dark", "", "", "satisfaction with personal security from crime", "", "", "" ], [ "", "very safe", "reasonably s...

[ "apartment in building with five storeys or more" ]

652b1f9268a3ad29b678a02c0ef826d0

who were less likely to say they felt very safe,people living in a neighbourhood where there is a high proportion of apartments or where the proportion was lower.

1458

{ "cells": [ [ "selected housing and neighbourhood characteristics", "sense of safety walking alone in one's neighbourhood after dark", "", "", "satisfaction with personal security from crime", "", "", "" ], [ "", "very safe", "reasonably s...

[ "high" ]

05bacb39dfcb6b57c84c55cad0e5ec12

how many million dollars of software r&d did businesses perform in 2018?

145_7_nsf21316-tab002

{ "cells": [ [ "selected industry, naics code, and company size", "total", "", "biotechnology", "", "nanotechnology", "", "software", "" ], [ "", "companiesa", "amount", "companiesa", "amount", "companiesa", "a...

[ "165576.0" ]

a4f5d62d0551e1e45c848fd2506d3095

of the approximately 26,000 companies with 10 or more employees that performed r&d in 2018, how many percentage points of companies are estimated to have performed software r&d?

145_7_nsf21316-tab002

{ "cells": [ [ "selected industry, naics code, and company size", "total", "", "biotechnology", "", "nanotechnology", "", "software", "" ], [ "", "companiesa", "amount", "companiesa", "amount", "companiesa", "a...

[ "0.419336" ]

589e5cfead5004f643facbb16cf2d75d

which club did duyshobekov play for in 2018?

145_totto17439-0

{ "cells": [ [ "club", "season", "league", "", "", "cup", "", "league cup", "", "continental", "", "total", "" ], [ "", "", "division", "apps", "goals", "apps", "goals", "apps", ...

[ "kelantan" ]

ff31765e4495a4e6ee0bd151a9e2acde

how many rushing yards did david johnson get in 2015?

145_totto17471-1

{ "cells": [ [ "season", "team", "games", "", "rushing", "", "", "", "", "receiving", "", "", "", "", "fumbles", "" ], [ "", "", "gp", "gs", "att", "yds", "avg", ...

[ "581.0" ]

62e09391b4c777f1c9a953b99d12ca81

which weight category did boys in china participate in?

145_totto17482-2

{ "cells": [ [ "noc", "boys", "", "", "", "", "girls", "", "", "", "", "total" ], [ "", "48 kg", "55 kg", "63 kg", "73 kg", "+73 kg", "44 kg", "49 kg", "55 kg", "63 kg", ...

[ "+73 kg" ]

60d970ff21504e4cd31b906fd469b545

which club did gareth ainsworth play for in 1996-97?

145_totto17493-3

{ "cells": [ [ "club", "season", "division", "league", "", "fa cup", "", "league cup", "", "other", "", "total", "" ], [ "", "", "", "apps", "goals", "apps", "goals", "apps", ...

[ "lincoln city" ]

5cb61cf63c9e14e78187cddb8db7209d

what were the key variables of census (long form) and nhs.

1461

{ "cells": [ [ "data source", "key variables" ], [ "census (long form) and nhs", "family composition and marital status, education, labour, occupation, income and source of income, indigenous identity, ethnic diversity and immigration, country of birth, housing, language, collectiv...

[ "family composition and marital status, education, labour, occupation, income and source of income, indigenous identity, ethnic diversity and immigration, country of birth, housing, language, collective dwellings" ]

343c56e704a185de83708bb3c9202e75

what's the percentage of canchec cohort members aged 20 or older who had complete postal code histories in 2011?

1463

{ "cells": [ [ "percentage complete", "canchec year", "", "", "", "" ], [ "", "1991", "1996", "2001", "2006", "2011" ], [ "100% complete", "68.6", "66.5", "69.4", "69.8", "74.1" ], [...

[ "74.1" ]

0d8406914ac4734ffa2f39b3e2f930fa

what's the percentage of working adults aged 25 to 64 with a university education who stated that their job only required a high school education.

1464

{ "cells": [ [ "", "distribution across characteristics", "in a job requesting a high school-level education or lower", "in a job requesting a college-level education", "in a job requesting a university-level education" ], [ "", "percent", "", "", ...

[ "12.2" ]

3ede72965546a9083addec9a9544e18c

among working adults aged 25 to 64 with a university education,what were the percentages of those who thought that their job required a college-level education and required a university education respectively?

1464

{ "cells": [ [ "", "distribution across characteristics", "in a job requesting a high school-level education or lower", "in a job requesting a college-level education", "in a job requesting a university-level education" ], [ "", "percent", "", "", ...

[ "19.1", "68.7" ]

48d85727ae71b1d5993d31f9dcedaccb

what's the percentage of the "overqualified" population"--those who reported that their job required no more than a high school education.

1464

{ "cells": [ [ "", "distribution across characteristics", "in a job requesting a high school-level education or lower", "in a job requesting a college-level education", "in a job requesting a university-level education" ], [ "", "percent", "", "", ...

[ "12.2" ]

1e7c8da22e58ec474bd23dc41cc84c18

which group's proportion did not vary across age groups or gender?

1464

{ "cells": [ [ "", "distribution across characteristics", "in a job requesting a high school-level education or lower", "in a job requesting a college-level education", "in a job requesting a university-level education" ], [ "", "percent", "", "", ...

[ "in a job requesting a high school-level education or lower" ]

9f21d2646aae24882740c0f015ec144d

what's the percentage of foreign-born workers with a foreign university degree who reported that they were in a job requiring a high school education.

1464

{ "cells": [ [ "", "distribution across characteristics", "in a job requesting a high school-level education or lower", "in a job requesting a college-level education", "in a job requesting a university-level education" ], [ "", "percent", "", "", ...

[ "26.6" ]

91e02691cfce9bd9a968ea1dc69c87af

what's the percentage of university graduates whose mother tongue was neither english nor french and said they were working in a job that required no more than a high school diploma.

1464

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[ "20.4" ]

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among people who had a degree in humanities, languages or arts,what's the percentage of those who said that they were working in a high school-level position.

1464

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[ "21.1" ]

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among people who had a degree in social science, business or law ,what's the percentage of those who said that they were working in a high school-level position.

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[ "13.5" ]

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among university graduates whose literacy skills were in the lowest range (levels 0 and 1) and in level 2 ,what were the percentages of those who reported that their current job required no more than a high school education respectively?

1464

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[ "34.1", "20.6" ]

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among university graduates whose literacy skills in level 3 and in level 4 or level 5,what were the percentages of those who reported that their job required no more than a high school diploma respectively?

1464

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[ "9.9", "6.8" ]

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among those who had higher literacy skills,who were more likely to be overqualified, foreign-born workers who received their highest university degree outside canada or canadian-born workers?

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[ "foreign-born / foreign degree" ]

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among those who had higher literacy skills,who had the lowest probability of being overqualified.

1465

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[ "foreign-born / canadian degree" ]

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within the lower skilled population of the numeracy model,what were the percentages of foreign-born workers who earned their degree in canada and those who were born in canada respectively?

1465

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[ "3.8", "13.8" ]

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within the lower skilled population in both models,what were the probabilities of the foreign-born and foreign-educated had respectively?

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[ "25.3", "27.5" ]

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within the higher skilled population in both models,who had greater probability of being overqualified,graduates of humanities, languages and arts programs or graduates of stem programs respectively?

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[ "humanities, languages, arts" ]

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among workers with higher literacy skills,what was the gap between graduates of humanities, languages and arts programs and graduates of stem programs.

1465

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[ "10" ]

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among workers with lower literacy skills,who had a significantly greater probability of being overqualified,graduates of social science, business and law programs or their lower-skilled counterparts in stem programs.

1465

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[ "social science, business, law" ]

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among university graduates with higher literacy levels,who were the least likely to be overqualified.

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[ "french" ]

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among graduates with lower skill levels,what was the percentage of those whose mother tongue was a language other than english or french?

1465

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[ "24.6" ]

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what was the percentage of university graduates working in occupations requiring a high school diploma or less education.

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[ "14.5" ]

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among the 12% who were found to be overqualified using the self-assessment,what was the percentage of those who would have been overqualified.

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[ "7.5" ]

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among the 69% who considered themselves as having a job requiring a university education,what was the percentage of those overqualified ?

1466

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[ "2.8" ]

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what method produces a minimum estimate of the population whose mother tongue is english, french or a language other than english or french.

1467

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[ "exclusion" ]

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how many respondents who reported more than one mother tongue in 2016 are not included in any of the three main groups?

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[ "818630.0" ]

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how many million dollars did businesses spend on research and development performance in the united states in 2016?

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[ "374685.0" ]

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businesses spent $375 billion on research and development performance in the united states in 2016, how many percentage points of increasing from 2015?

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[ "0.053015" ]

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how many million dollars was funding from the companies' own sources in 2016?

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[ "317731.0" ]

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funding from the companies' own sources was $318 billion in 2016, how many percent of increasing from 2015?

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[ "0.070966" ]

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how many million dollars were funding from other sources in 2016?

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[ "56954.0" ]

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how many million dollars were funding from other sources in 2015?

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{ "cells": [ [ "selected characteristic and company size", "2015", "2016" ], [ "domestic r&d performancea", "355821", "374685" ], [ "type of r&db", "", "" ], [ "basic research", "21792", "24644" ], [ "app...

[ "59144.0" ]

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what was the number of league and cup appearances made by rob kozluk for the club sheffield united.

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[ "236.0" ]

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which club did fernando juarez play for in 2016?

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{ "cells": [ [ "club", "season", "league", "", "", "cup", "", "league cup", "", "continental", "", "other", "", "total", "" ], [ "", "", "division", "apps", "goals", "apps", ...

[ "talleres" ]

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for all firms with immigrant owners, what was the percentage points of likelihood of implementing a product innovation higher than for firms with canadian-born owners?

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[ "0.023" ]

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for process innovations, what was the percentage points of the likelihood higher for immigrant-owned firms?

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{ "cells": [ [ "", "innovation", "", "", "" ], [ "", "goods or services", "production process or method", "organizational method", "new way of selling" ], [ "all immigrants", "", "", "", "" ], [ ...

[ "0.035" ]

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what was the percentage points of firms with immigrant owners who had been in canada for more than 20 years were also more likely to implement a process innovation than firms with canadian-born owners?

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{ "cells": [ [ "", "innovation", "", "", "" ], [ "", "goods or services", "production process or method", "organizational method", "new way of selling" ], [ "all immigrants", "", "", "", "" ], [ ...

[ "0.037" ]

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what were the differences translate to respondents whose mother tongue is english,french and a language other than english or french in numbers,respectively?

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[ "371890.0", "148335.0", "332305.0" ]

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in quebec, what was the difference of respondents who reported english as their mother tongue from the english mother tongue group in number?

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{ "cells": [ [ "", "english", "", "", "", "french", "", "", "", "other language", "", "", "" ], [ "", "inclusion", "distribution", "difference", "variation", "inclusion", "distribution",...

[ "61907.0" ]

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what were the percentages of variation of respondents who reported french as their mother tongue in newfoundland and labrador and those in british columbia respectively?

1470

{ "cells": [ [ "", "english", "", "", "", "french", "", "", "", "other language", "", "", "" ], [ "", "inclusion", "distribution", "difference", "variation", "inclusion", "distribution",...

[ "11.2", "10.4" ]

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among households who had internet access at home,what was the percentage of those who had less than one internet-enabled device per household member.

1472

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[ "58.4" ]

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among households in the lowest income quartile,what was the percentage of those who had less than one internet-enabled device for each household member?

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[ "63.0" ]

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among households in the highest income quartile,what was the percentage of those who had less than one device per household member?

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[ "56.2" ]

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who were less likely to have less than one device per household member,households in the third quartile or those in the lowest quartile?

1472

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[ "third quartile" ]

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in 2014,what were the percentages of couples and lone parents in canada respectively?

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[ "18.2", "4.6" ]

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what was the percentage of family units with children aged less than 16 in 1976?

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[ "38.6" ]

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who were the youngest on average,stay-at-home mothers or single-earner mothers or mothers who were part of a dual-earner couple?

1476