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zhoujun
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hitab

Dataset card Data Studio Files
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 Community
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32
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3652b9a90bf0ea2c93a992f2e0f56b84
what was the proportion of women aged 25 to 64 with a university degree in health professions and related programs in 2011?
2304
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a3d81b9aea5a6f5d1972b96885c4a7d9
in 2011, women were more likely to have a university degree in health professions and related programs or education?
2304
{ "cells": [ [ "", "female", "female rank", "male", "male rank" ], [ "", "percent", "number", "percent", "number" ], [ "proportion with a university degree", "100", "..", "100", ".." ], [ "educa...
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07a0bcd96d2f77bb33989f62e343de83
what was the proportion of women that had university degrees in education, health professions and related programs, business, management, marketing and related support services in 2011?
2304
{ "cells": [ [ "", "female", "female rank", "male", "male rank" ], [ "", "percent", "number", "percent", "number" ], [ "proportion with a university degree", "100", "..", "100", ".." ], [ "educa...
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6f75fefb54168ce398574f372a373173
what was the proportion of men aged 25 to 64 that had a university degree in education in 2011?
2304
{ "cells": [ [ "", "female", "female rank", "male", "male rank" ], [ "", "percent", "number", "percent", "number" ], [ "proportion with a university degree", "100", "..", "100", ".." ], [ "educa...
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47d5d00661d63411d8adfb5774a240f0
what was the proportion of men aged 25 to 64 that had a university degree in business, management, marketing and related support services?
2304
{ "cells": [ [ "", "female", "female rank", "male", "male rank" ], [ "", "percent", "number", "percent", "number" ], [ "proportion with a university degree", "100", "..", "100", ".." ], [ "educa...
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what was the proportion of men aged 25 to 64 that had a university degree in health professions and related programs?
2304
{ "cells": [ [ "", "female", "female rank", "male", "male rank" ], [ "", "percent", "number", "percent", "number" ], [ "proportion with a university degree", "100", "..", "100", ".." ], [ "educa...
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591791ec4493df14bdb0307440387634
what was the ranking of engineering among female university degree holders in 2011?
2304
{ "cells": [ [ "", "female", "female rank", "male", "male rank" ], [ "", "percent", "number", "percent", "number" ], [ "proportion with a university degree", "100", "..", "100", ".." ], [ "educa...
[ "7.0" ]
bf4e5d7a471a13c418e4a87fadc71763
what was the ranking of engineering among male university degree holders in 2011?
2304
{ "cells": [ [ "", "female", "female rank", "male", "male rank" ], [ "", "percent", "number", "percent", "number" ], [ "proportion with a university degree", "100", "..", "100", ".." ], [ "educa...
[ "2.0" ]
a3f0fae56a9fe202524c897a53053613
what was the unemployment rate of young canadian-born women aged 25 to 34 with a stem degree?
2305
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[ "4.7" ]
acced61ab2a0e0e2111b166735c1b639
what was the unemployment rate of young canadian-born women aged 25 to 34 with a non-stem degree?
2305
{ "cells": [ [ "", "unemployment rate - all women aged 25 to 34", "unemployment rate - canadian-born women aged 25 to 34", "unemployment rate - immigrant women aged 25 to 34", "percent of female degree holders aged 25 to 34 that are female immigrants with a degree aged 25 to 34" ...
[ "4.3" ]
df83525aa3e811aaeb90937a6a6ccf43
under which condition was the unemployment rate of young canadian-born women aged 25 to 64 higher than the other, women with a stem degree or with a non-stem degree?
2305
{ "cells": [ [ "", "unemployment rate - all women aged 25 to 34", "unemployment rate - canadian-born women aged 25 to 34", "unemployment rate - immigrant women aged 25 to 34", "percent of female degree holders aged 25 to 34 that are female immigrants with a degree aged 25 to 34" ...
[ "total - stem" ]
c71b99637a99ee8c12e4761e173389dd
what was the unemployment rate of young immigration women with stem degrees?
2305
{ "cells": [ [ "", "unemployment rate - all women aged 25 to 34", "unemployment rate - canadian-born women aged 25 to 34", "unemployment rate - immigrant women aged 25 to 34", "percent of female degree holders aged 25 to 34 that are female immigrants with a degree aged 25 to 34" ...
[ "10.7" ]
3098796d06b170c99fd2c157688b1e10
what was the unemployment rate of young immigration women with non-stem degrees?
2305
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[ "10.2" ]
1f7e2c69dd773d1b65b97ad8a1b81244
which type of young immigrant women was more likely to be unemployed?
2305
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[ "total - stem" ]
94b73c48e62141f13fd2b2dd70290044
what was the proportion of immigrant women that were young female stem degree holders?
2305
{ "cells": [ [ "", "unemployment rate - all women aged 25 to 34", "unemployment rate - canadian-born women aged 25 to 34", "unemployment rate - immigrant women aged 25 to 34", "percent of female degree holders aged 25 to 34 that are female immigrants with a degree aged 25 to 34" ...
[ "41.0" ]
c29cd1f0e3fe597573c32fd48bbabd7a
what was the proportion of immigrant women that were young female non-stem degree holders?
2305
{ "cells": [ [ "", "unemployment rate - all women aged 25 to 34", "unemployment rate - canadian-born women aged 25 to 34", "unemployment rate - immigrant women aged 25 to 34", "percent of female degree holders aged 25 to 34 that are female immigrants with a degree aged 25 to 34" ...
[ "25.0" ]
b494550ce2897eaa59de9ab41cb71543
which type of young female took a larger proportion in immigrant women, female with stem degree or without stem degree?
2305
{ "cells": [ [ "", "unemployment rate - all women aged 25 to 34", "unemployment rate - canadian-born women aged 25 to 34", "unemployment rate - immigrant women aged 25 to 34", "percent of female degree holders aged 25 to 34 that are female immigrants with a degree aged 25 to 34" ...
[ "total - stem" ]
64e5748dfbc62c5301b6d3fc02cf8311
what was the unemployment rate of young female canadian-born engineering degree holders among the stem fields?
2305
{ "cells": [ [ "", "unemployment rate - all women aged 25 to 34", "unemployment rate - canadian-born women aged 25 to 34", "unemployment rate - immigrant women aged 25 to 34", "percent of female degree holders aged 25 to 34 that are female immigrants with a degree aged 25 to 34" ...
[ "3.8" ]
03ee7bee46137166628f4352a790f10a
what was the unemployment rate of young female canadian-born mathematics and computer science degree holders among the stem fields?
2305
{ "cells": [ [ "", "unemployment rate - all women aged 25 to 34", "unemployment rate - canadian-born women aged 25 to 34", "unemployment rate - immigrant women aged 25 to 34", "percent of female degree holders aged 25 to 34 that are female immigrants with a degree aged 25 to 34" ...
[ "4.8" ]
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what was the unemployment rate of young female canadian-born science and technology degree holders among the stem fields?
2305
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[ "4.9" ]
53ea6c7d692d7e0cf7f30fa17bc8efc0
which type of canadian-born young female had the highest unemployment rate?
2305
{ "cells": [ [ "", "unemployment rate - all women aged 25 to 34", "unemployment rate - canadian-born women aged 25 to 34", "unemployment rate - immigrant women aged 25 to 34", "percent of female degree holders aged 25 to 34 that are female immigrants with a degree aged 25 to 34" ...
[ "science and technology" ]
b67280d1c853460b1c81217f2dd004c7
what was the unemployment rate of young female canadian-born women that had degrees in business, management, marketing and related support services?
2305
{ "cells": [ [ "", "unemployment rate - all women aged 25 to 34", "unemployment rate - canadian-born women aged 25 to 34", "unemployment rate - immigrant women aged 25 to 34", "percent of female degree holders aged 25 to 34 that are female immigrants with a degree aged 25 to 34" ...
[ "3.6" ]
0a1099b9e5af85cc0c4bf87f4ab675e6
what was the unemployment rate of young female canadian-born women that had degrees in health and related programs?
2305
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[ "3.1" ]
5f9de438f96e41f6e397278eedc997e5
what was the unemployment rate of young female canadian-born women that had degrees in education?
2305
{ "cells": [ [ "", "unemployment rate - all women aged 25 to 34", "unemployment rate - canadian-born women aged 25 to 34", "unemployment rate - immigrant women aged 25 to 34", "percent of female degree holders aged 25 to 34 that are female immigrants with a degree aged 25 to 34" ...
[ "3.4" ]
58b6149193be0b1fe5444cfe97cd16fd
what was the unemployment rate of young female immigrants with a non-stem degree in education?
2305
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[ "7.9" ]
aec6148e371e166e1620c0412f017e19
what was the unemployment rate of young female immigrants with a non-stem degree in health and related programs?
2305
{ "cells": [ [ "", "unemployment rate - all women aged 25 to 34", "unemployment rate - canadian-born women aged 25 to 34", "unemployment rate - immigrant women aged 25 to 34", "percent of female degree holders aged 25 to 34 that are female immigrants with a degree aged 25 to 34" ...
[ "9.0" ]
cfd4c0cb226bd3ce9a59d9f3279222dd
what was the unemployment rate of young female immigrants with a non-stem degree in business, management, marketing and related support services?
2305
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[ "10.2" ]
54226115a2b6d23c2b15be25052cb227
what was the proportion of young females with a university degree that were elementary/kindergarten school teachers in 2011?
2307
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[ "9.8" ]
61d4387fa120083f5972a3f63fcbafc4
what was the proportion of young females with a university degree that were registered nurses in 2011?
2307
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[ "6.1" ]
cde695bc4454ab344a294458188cd30e
what was the proportion of young females with a university degree that were seconday school teachers in 2011?
2307
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[ "4.8" ]
7cd1d64e82d7a6198a0f99ea13694c7b
which occupation had the largest proportion of young female workers with a university degree?
2307
{ "cells": [ [ "occupation", "1991", "2006", "2011" ], [ "", "percentage", "", "" ], [ "women", "", "", "" ], [ "elementary school and kindergarten teachers", "11.8", "11", "9.8" ], [ ...
[ "elementary school and kindergarten teachers" ]
3178dbd2ef0114d1d575aafaaa13e5e1
in 2017, which league did isac lidberg sign with atvidabergs ff?
230_totto26315-1
{ "cells": [ [ "club", "season", "league", "", "", "cup", "", "continental", "", "total", "" ], [ "", "", "division", "apps", "goals", "apps", "goals", "apps", "goals", "apps", ...
[ "superettan" ]
d5ed5792c36bd74912fae35ecbb9a178
by what percentage did computer science contribute to the overall growth of university-level workers?
231
{ "cells": [ [ "", "1991", "", "2011", "", "increase from 1991 to 2011", "" ], [ "", "number", "percentage distribution", "number", "percentage distribution", "number", "percentage distribution" ], [ "univers...
[ "60.4" ]
7f01b7bd0e3e82bc01b965c95c51a168
which scientific occupations remained the most common field for women in 2011?
231
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[ "computer science" ]
d7c84ceab42829baf4d218d6be075df2
by what percentage did the civil engineering occupations contribute to the overall increase in the number scientific workers from 1991 to 2011?
231
{ "cells": [ [ "", "1991", "", "2011", "", "increase from 1991 to 2011", "" ], [ "", "number", "percentage distribution", "number", "percentage distribution", "number", "percentage distribution" ], [ "univers...
[ "16.3" ]
1506cd7873474236296173d6fbb1c2ec
by what percentage did other engineering occupations contribute to the overall increase in the number of scientific workers from 1991 to 2011?
231
{ "cells": [ [ "", "1991", "", "2011", "", "increase from 1991 to 2011", "" ], [ "", "number", "percentage distribution", "number", "percentage distribution", "number", "percentage distribution" ], [ "univers...
[ "9.8" ]
cc374ed3e12ab46467bbb95ce5130e51
in which occupation does women's increase from 1991 to 2011 contribute relatively smaller to the total increase in that occupation from 1991 to 2011, computer science or the engineering sectors?
231
{ "cells": [ [ "", "1991", "", "2011", "", "increase from 1991 to 2011", "" ], [ "", "number", "percentage distribution", "number", "percentage distribution", "number", "percentage distribution" ], [ "univers...
[ "computer science" ]
4d8176e8fc5c4fe76477d0b394934b45
what was the median employment income of male college diploma holders in engineering technology?
2310
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[ "66962.0" ]
158cfbb279dc3b20b1991a349aa2ef4a
what was the median employment income of female college diploma holders in business, management, marketing and related support services?
2310
{ "cells": [ [ "", "college diploma", "" ], [ "", "%", "$" ], [ "female", "", "" ], [ "field of study", "100", "43,415" ], [ "business, management , marketing and related support services", "37", ...
[ "43645.0" ]
db28f0b72dd075a5004c7737d35f486b
what was the median income of female college graduates in business, management, marketing and related support services?
2310
{ "cells": [ [ "", "college diploma", "" ], [ "", "%", "$" ], [ "female", "", "" ], [ "field of study", "100", "43,415" ], [ "business, management , marketing and related support services", "37", ...
[ "43645.0" ]
46a574a2b5670633f72ae871cefb2ccd
what was the median income of male college graduates in business, management, marketing and related support services?
2310
{ "cells": [ [ "", "college diploma", "" ], [ "", "%", "$" ], [ "female", "", "" ], [ "field of study", "100", "43,415" ], [ "business, management , marketing and related support services", "37", ...
[ "56816.0" ]
6400b77c1c48303fa449217fc4ba4b66
which gender college graduates had a higher median income in business, management, marketing and related support services?
2310
{ "cells": [ [ "", "college diploma", "" ], [ "", "%", "$" ], [ "female", "", "" ], [ "field of study", "100", "43,415" ], [ "business, management , marketing and related support services", "37", ...
[ "male" ]
7a8469e20179cedaf8c5e50c6506e760
what was the proportion of women with a college diploma in health and related fields?
2310
{ "cells": [ [ "", "college diploma", "" ], [ "", "%", "$" ], [ "female", "", "" ], [ "field of study", "100", "43,415" ], [ "business, management , marketing and related support services", "37", ...
[ "25.0" ]
b1a7f84dde1df361cc5596a702e3dbc0
what was the median income of women with a college diploma in health and related fields?
2310
{ "cells": [ [ "", "college diploma", "" ], [ "", "%", "$" ], [ "female", "", "" ], [ "field of study", "100", "43,415" ], [ "business, management , marketing and related support services", "37", ...
[ "46047.0" ]
36e93bc41824ec3a2119b1b15803686e
what was the median cinome of women with a college diploma in all three fields of study?
2310
{ "cells": [ [ "", "college diploma", "" ], [ "", "%", "$" ], [ "female", "", "" ], [ "field of study", "100", "43,415" ], [ "business, management , marketing and related support services", "37", ...
[ "43415.0" ]
86d304055deeff507ae6be703b8484df
in which field of study, women with a college diploma were more likely to have a higher median income?
2310
{ "cells": [ [ "", "college diploma", "" ], [ "", "%", "$" ], [ "female", "", "" ], [ "field of study", "100", "43,415" ], [ "business, management , marketing and related support services", "37", ...
[ "health professions and related programs" ]
ddbf1c711d0618140db07e98d7f5004c
what was the median income of women with a college diploma in family and consumer sciences?
2310
{ "cells": [ [ "", "college diploma", "" ], [ "", "%", "$" ], [ "female", "", "" ], [ "field of study", "100", "43,415" ], [ "business, management , marketing and related support services", "37", ...
[ "36266.0" ]
e6b712dd2f23f8eb82f779ee24c7d815
what is the number of transport truck drivers in 2016?
2316
{ "cells": [ [ "", "1996", "", "", "", "2016", "", "", "" ], [ "", "workers", "proportion of workers aged 55 and over", "median age", "ratio of younger workers to older workers", "workers", "proportion of worke...
[ "278500.0" ]
ea55c4c1404cf4a82193298c8914e720
what is the percentage of men aged 55 and over among transport truck drivers in 2016?
2316
{ "cells": [ [ "", "1996", "", "", "", "2016", "", "", "" ], [ "", "workers", "proportion of workers aged 55 and over", "median age", "ratio of younger workers to older workers", "workers", "proportion of worke...
[ "31.4" ]
edd3a3ce0514f30350e0fc760423e6e8
what is the percentage of men aged 55 and over among transport truck drivers in 1996?
2316
{ "cells": [ [ "", "1996", "", "", "", "2016", "", "", "" ], [ "", "workers", "proportion of workers aged 55 and over", "median age", "ratio of younger workers to older workers", "workers", "proportion of worke...
[ "12.2" ]
5128ab85d148260a41206b5950e74921
what is the ratio of younger transport truck drivers to older transport truck drivers in 1996?
2316
{ "cells": [ [ "", "1996", "", "", "", "2016", "", "", "" ], [ "", "workers", "proportion of workers aged 55 and over", "median age", "ratio of younger workers to older workers", "workers", "proportion of worke...
[ "2.49" ]
2f41c3a8f5e4d87796c77dacc6bbea89
what is the ratio of younger transport truck drivers to older transport truck drivers in 2016?
2316
{ "cells": [ [ "", "1996", "", "", "", "2016", "", "", "" ], [ "", "workers", "proportion of workers aged 55 and over", "median age", "ratio of younger workers to older workers", "workers", "proportion of worke...
[ "0.57" ]
f19fa71a751a284565cd9e53a7f8e082
what is the percentage of men aged 55 and over among janitors, caretakers and building superintendents in 2016?
2316
{ "cells": [ [ "", "1996", "", "", "", "2016", "", "", "" ], [ "", "workers", "proportion of workers aged 55 and over", "median age", "ratio of younger workers to older workers", "workers", "proportion of worke...
[ "36.9" ]
180a6cd6f48ee4c508eec575fb7b9d80
what is the percentage of men aged 55 and over among janitors, caretakers and building superintendents in 1996?
2316
{ "cells": [ [ "", "1996", "", "", "", "2016", "", "", "" ], [ "", "workers", "proportion of workers aged 55 and over", "median age", "ratio of younger workers to older workers", "workers", "proportion of worke...
[ "19.6" ]
3a94a7214c10846954d608fd71f6d474
what is the percentage of male cooks aged 55 and over among all cooks in 2016?
2316
{ "cells": [ [ "", "1996", "", "", "", "2016", "", "", "" ], [ "", "workers", "proportion of workers aged 55 and over", "median age", "ratio of younger workers to older workers", "workers", "proportion of worke...
[ "10.2" ]
85e298b82400a6973093dfe7d322ed56
what is the ratio of younger cooks to older cooks in 2016?
2316
{ "cells": [ [ "", "1996", "", "", "", "2016", "", "", "" ], [ "", "workers", "proportion of workers aged 55 and over", "median age", "ratio of younger workers to older workers", "workers", "proportion of worke...
[ "2.38" ]
3757dcb23baea804d27c621709dfead9
what is the percentage of female managers in agriculture aged 55 and over among all female managers in agriculture in 2016?
2317
{ "cells": [ [ "", "1996", "", "", "", "2016", "", "", "" ], [ "", "workers", "proportion of workers aged 55 and over", "median age", "ratio of younger workers to older workers", "workers", "proportion of worke...
[ "52.1" ]
58ced5bd7e43a38b3d8aeb617ebbfc48
what is the percentage of female managers in agriculture aged 55 and over among all female managers in agriculture in 1996?
2317
{ "cells": [ [ "", "1996", "", "", "", "2016", "", "", "" ], [ "", "workers", "proportion of workers aged 55 and over", "median age", "ratio of younger workers to older workers", "workers", "proportion of worke...
[ "36.5" ]
efc2117d3b51d187930b9a2896fab447
what is the percentage of women employed as advertising, marketing and public relations managers aged 55 and over in 2016?
2317
{ "cells": [ [ "", "1996", "", "", "", "2016", "", "", "" ], [ "", "workers", "proportion of workers aged 55 and over", "median age", "ratio of younger workers to older workers", "workers", "proportion of worke...
[ "10.0" ]
0a1377e2ba4134d3b92f4c29466be07e
what is the percentage of women employed as advertising, marketing and public relations managers aged 55 and over in 1996?
2317
{ "cells": [ [ "", "1996", "", "", "", "2016", "", "", "" ], [ "", "workers", "proportion of workers aged 55 and over", "median age", "ratio of younger workers to older workers", "workers", "proportion of worke...
[ "4.6" ]
8b4b77ebe0aea651403f1de0d743896c
by what percentage did the number of workers in professional occupations in advertising, marketing and public relations increase between 1996 and 2016?
2319
{ "cells": [ [ "", "workers", "", "percent change in number of workers", "proportion of workers aged 55 and over", "" ], [ "", "1996", "2016", "1996 to 2016", "1996", "2016" ], [ "", "number", "", "perc...
[ "256.0" ]
fc908f3090ced324e2b6b459d627e109
by what percentage did the number of computer and information systems managers increase between 1996 and 2016?
2319
{ "cells": [ [ "", "workers", "", "percent change in number of workers", "proportion of workers aged 55 and over", "" ], [ "", "1996", "2016", "1996 to 2016", "1996", "2016" ], [ "", "number", "", "perc...
[ "209.0" ]
146a4691220cfcd645ab8d82650bc8db
by what percentage did the number of inspectors in public and environmental health and occupational health and safety increase between 1996 and 2016?
2319
{ "cells": [ [ "", "workers", "", "percent change in number of workers", "proportion of workers aged 55 and over", "" ], [ "", "1996", "2016", "1996 to 2016", "1996", "2016" ], [ "", "number", "", "perc...
[ "207.0" ]
ff6ec8823b2823af2180b165fb237f1a
what is the percentage of older workers in professional occupations in advertising, marketing and public relations in 1996?
2319
{ "cells": [ [ "", "workers", "", "percent change in number of workers", "proportion of workers aged 55 and over", "" ], [ "", "1996", "2016", "1996 to 2016", "1996", "2016" ], [ "", "number", "", "perc...
[ "7.9" ]
a7bf1cffc2e1550d7a55330ba3eeb4c5
what is the percentage of older workers in professional occupations in advertising, marketing and public relations in 2016?
2319
{ "cells": [ [ "", "workers", "", "percent change in number of workers", "proportion of workers aged 55 and over", "" ], [ "", "1996", "2016", "1996 to 2016", "1996", "2016" ], [ "", "number", "", "perc...
[ "12.7" ]
d7d5277d5632815d57e3bc93bd2a03f4
how many runs were australia thus bowled out for?
231_totto26462-2
{ "cells": [ [ "australia", "first innings", "", "second innings", "" ], [ "batsman", "method of dismissal", "runs", "method of dismissal", "runs" ], [ "a. r. morris", "c compton b bedser", "51", "not out", "...
[ "221.0" ]
abdae5c3a8f4bd2405a27ad8aac8f4d7
in the 2017-18 season, which league did muller transfer from hamburger sv?
231_totto26484-3
{ "cells": [ [ "club", "season", "league", "", "", "cup", "", "continental", "", "other", "", "total", "" ], [ "", "", "league", "apps", "goals", "apps", "goals", "apps", "go...
[ "bundesliga" ]
df362c24190eb9fd9da574317ab88f2d
what is the number of registered nurses and registered psychiatric nurses in 2016?
2321
{ "cells": [ [ "", "1996", "", "2016", "" ], [ "", "workers", "proportion of workers aged 55 and over", "workers", "proportion of workers aged 55 and over" ], [ "", "number", "percent", "number", "percent" ...
[ "286200.0" ]
0fe9b70b7b72ae554979147fbbfcb387
what is the number of nurse aides, orderlies and patient service associates in 2016?
2321
{ "cells": [ [ "", "1996", "", "2016", "" ], [ "", "workers", "proportion of workers aged 55 and over", "workers", "proportion of workers aged 55 and over" ], [ "", "number", "percent", "number", "percent" ...
[ "245500.0" ]
0a0691d8f86449d4839af8881bb3aac0
what is the urban core estimate pm2.5 exposure?
2322
{ "cells": [ [ "characteristic", "population distribution", "", "", "", "", "pm2.5 exposure", "", "", "", "", "", "", "" ], [ "", "", "", "", "", "", "total", "", "urba...
[ "8.03" ]
aa01ccc2a80775fad9501f7ddebb10a9
what is mean urban fringe pm2.5 exposure?
2322
{ "cells": [ [ "characteristic", "population distribution", "", "", "", "", "pm2.5 exposure", "", "", "", "", "", "", "" ], [ "", "", "", "", "", "", "total", "", "urba...
[ "5.62" ]
1acd6e9ca611ae473e632b635bcc6ea3
what is mean rural pm2.5 exposure?
2322
{ "cells": [ [ "characteristic", "population distribution", "", "", "", "", "pm2.5 exposure", "", "", "", "", "", "", "" ], [ "", "", "", "", "", "", "total", "", "urba...
[ "4.32" ]
2860ca115bb3e06494910c9b31495c43
how much was the mean exposure of total visible minoriteis to pm2.5 higher than that of the white population?
2322
{ "cells": [ [ "characteristic", "population distribution", "", "", "", "", "pm2.5 exposure", "", "", "", "", "", "", "" ], [ "", "", "", "", "", "", "total", "", "urba...
[ "1.61" ]
42cf7cdf2d33a631a1768a65f8017780
what is the percentage of visible minority population who lived in urban cores?
2322
{ "cells": [ [ "characteristic", "population distribution", "", "", "", "", "pm2.5 exposure", "", "", "", "", "", "", "" ], [ "", "", "", "", "", "", "total", "", "urba...
[ "96.0" ]
0b462b707dee2ffaaf69f220c02287b7
what is the percentage of white population who lived in urban cores?
2322
{ "cells": [ [ "characteristic", "population distribution", "", "", "", "", "pm2.5 exposure", "", "", "", "", "", "", "" ], [ "", "", "", "", "", "", "total", "", "urba...
[ "65.9" ]
0178d6b8a8dba54c56e5cf010679ba05
what is the difference between the mean pm2.5 exposure of visible moniority population and that of white population, when only urban cores were considered?
2322
{ "cells": [ [ "characteristic", "population distribution", "", "", "", "", "pm2.5 exposure", "", "", "", "", "", "", "" ], [ "", "", "", "", "", "", "total", "", "urba...
[ "0.69" ]
a5210b5c61c714326dc37e6004be4cab
which three visible minority or aboriginal status has the highest mean pm2.5 exposures in urban cores?
2322
{ "cells": [ [ "characteristic", "population distribution", "", "", "", "", "pm2.5 exposure", "", "", "", "", "", "", "" ], [ "", "", "", "", "", "", "total", "", "urba...
[ "latin american", "black", "arab" ]
a3300d09ff5541c3c51b46c47f01cbf0
how much was the mean pm2.5 exposure among total aboriginal people lower than that for white persons?
2322
{ "cells": [ [ "characteristic", "population distribution", "", "", "", "", "pm2.5 exposure", "", "", "", "", "", "", "" ], [ "", "", "", "", "", "", "total", "", "urba...
[ "1.55" ]
c3f75701d1e55128ff39bcba9fda34e6
how much was the mean pm2.5 exposure among total immigrants greater than that of non-immigrants?
2322
{ "cells": [ [ "characteristic", "population distribution", "", "", "", "", "pm2.5 exposure", "", "", "", "", "", "", "" ], [ "", "", "", "", "", "", "total", "", "urba...
[ "1.55" ]
ceca0b2c78e0fa663aecd957e81204bc
what is the difference in mean pm2.5 exposure between immigrants and non-immigrants, among urban core residents?
2322
{ "cells": [ [ "characteristic", "population distribution", "", "", "", "", "pm2.5 exposure", "", "", "", "", "", "", "" ], [ "", "", "", "", "", "", "total", "", "urba...
[ "0.82" ]
f9a89514716c474a5dc872105d33a25b
in urban cores, which group has a greater mean pm2.5 exposure, people in lower-income households or higher-income household?
2322
{ "cells": [ [ "characteristic", "population distribution", "", "", "", "", "pm2.5 exposure", "", "", "", "", "", "", "" ], [ "", "", "", "", "", "", "total", "", "urba...
[ "low income" ]
ac64668c2c3714bcacdf1335b90385a6
in rural areas, which group has a less mean pm2.5 exposure, people in lower-income households or higher-income household?
2322
{ "cells": [ [ "characteristic", "population distribution", "", "", "", "", "pm2.5 exposure", "", "", "", "", "", "", "" ], [ "", "", "", "", "", "", "total", "", "urba...
[ "low income" ]
dded22cc5c7ab4e12097c2e01ee7f095
what is the mean pm2.5 exposure of the total visible minority individuals in low-income households?
2322
{ "cells": [ [ "characteristic", "population distribution", "", "", "", "", "pm2.5 exposure", "", "", "", "", "", "", "" ], [ "", "", "", "", "", "", "total", "", "urba...
[ "8.86" ]
8a4ea7ebc90d84f5fff18b22405cf36e
what is the difference between the mean pm2.5 exposure of the total visible minority individuals in low-income households and that of white people who did not live in low-income households?
2322
{ "cells": [ [ "characteristic", "population distribution", "", "", "", "", "pm2.5 exposure", "", "", "", "", "", "", "" ], [ "", "", "", "", "", "", "total", "", "urba...
[ "2.08" ]
3cce5d2aa6dea89b42a5cadf3a45f3c2
which one has a higher mean pm2.5 exposure, the toronto urban core or urban cores outside toronto?
2323
{ "cells": [ [ "characteristic", "urban core population distribution", "", "", "", "pm2.5 exposure", "", "", "", "", "" ], [ "", "", "", "", "", "total", "", "toronto", "", "not to...
[ "toronto" ]
0442ce9eac2d144083368b35b99b9f15
among urban core residents,what is the percentage of members of visible minorities who lived in toronto?
2323
{ "cells": [ [ "characteristic", "urban core population distribution", "", "", "", "pm2.5 exposure", "", "", "", "", "" ], [ "", "", "", "", "", "total", "", "toronto", "", "not to...
[ "43.3" ]
c6505dec895b1298b6da2010c7381d14
among urban core residents,what is the percentage of whites who lived in toronto?
2323
{ "cells": [ [ "characteristic", "urban core population distribution", "", "", "", "pm2.5 exposure", "", "", "", "", "" ], [ "", "", "", "", "", "total", "", "toronto", "", "not to...
[ "14.9" ]
244f9542e0069dc878ab5db9c894e2bf
what is the percentage of urban core non-immigrants who lived in toronto?
2323
{ "cells": [ [ "characteristic", "urban core population distribution", "", "", "", "pm2.5 exposure", "", "", "", "", "" ], [ "", "", "", "", "", "total", "", "toronto", "", "not to...
[ "14.3" ]
7155f823d3f3e4fb9ed1c9f7f8f0ff45
what is the percentage of women who experienced unwanted sexual behaviour and indicated that the personnote behind the most serious behaviour was a man?
2326
{ "cells": [ [ "selected incident characteristics", "women", "", "", "men", "", "" ], [ "", "percent", "95% confidence interval", "", "percent", "95% confidence interval", "" ], [ "", "", "from", ...
[ "93.0" ]
4c5eccfa1592591570b0bf5e895d4ceb
what is the percentage of men who experienced unwanted sexual behaviour in a public space and identified the perpetrator as a man?
2326
{ "cells": [ [ "selected incident characteristics", "women", "", "", "men", "", "" ], [ "", "percent", "95% confidence interval", "", "percent", "95% confidence interval", "" ], [ "", "", "from", ...
[ "56.0" ]
7148db9732efb139e630cc1f6c8d2f11
which gender group identified a friend, acquaintance or neighbour as the perpetrator of the most serious incident they experienced more often, men or women?
2326
{ "cells": [ [ "selected incident characteristics", "women", "", "", "men", "", "" ], [ "", "percent", "95% confidence interval", "", "percent", "95% confidence interval", "" ], [ "", "", "from", ...
[ "men" ]
e06ff10541e6acef24a53027a5ab6a68
what is the percentage of women who had experienced at least one unwanted sexual behaviour in a public space and indicated that the person who initiated the most serious incident was a stranger?
2326
{ "cells": [ [ "selected incident characteristics", "women", "", "", "men", "", "" ], [ "", "percent", "95% confidence interval", "", "percent", "95% confidence interval", "" ], [ "", "", "from", ...
[ "70.0" ]
981b98fe49d05380c672040374e75d84
what is the percentage of men who experienced unwanted sexual behaviour and were targeted by a stranger?
2326
{ "cells": [ [ "selected incident characteristics", "women", "", "", "men", "", "" ], [ "", "percent", "95% confidence interval", "", "percent", "95% confidence interval", "" ], [ "", "", "from", ...
[ "46.0" ]
22830b8dc78d22af3125f1ce5a3e29aa
which two are the most common unwanted behaviours online cited by total respondents?
2327
{ "cells": [ [ "type of unwanted behaviour", "women", "", "", "men", "", "", "total", "", "" ], [ "", "percent", "95% confidence interval", "", "percent", "95% confidence interval", "", "percent", ...
[ "threatening or aggressive emails or messages directed at you personally", "being sent unwanted sexually suggestive or explicit images or messages" ]
a91cfe67c3ae06a0c7969076be567d44
what is the percentage of total repondents who reported that their unwanted behaviour online was someone had published or threatened to publish intimate or sexually explicit images without their consent?
2327
{ "cells": [ [ "type of unwanted behaviour", "women", "", "", "men", "", "", "total", "", "" ], [ "", "percent", "95% confidence interval", "", "percent", "95% confidence interval", "", "percent", ...
[ "2.0" ]
4a947cf2389196cc7789851daf519f37
what is the percentage of women who were targets of at least one of the unwanted behaviour online measured by the sspps?
2327
{ "cells": [ [ "type of unwanted behaviour", "women", "", "", "men", "", "", "total", "", "" ], [ "", "percent", "95% confidence interval", "", "percent", "95% confidence interval", "", "percent", ...
[ "24.0" ]
59da183e4af467d0afa40f9b74e20720
what is the percentage of men who were targets of at least one of the unwanted behaviour online measured by the sspps?
2327
{ "cells": [ [ "type of unwanted behaviour", "women", "", "", "men", "", "", "total", "", "" ], [ "", "percent", "95% confidence interval", "", "percent", "95% confidence interval", "", "percent", ...
[ "16.0" ]
ad3671fafc4bdab3ceb42ee74bb4d760
what is the percentage of women who were directly targeted with at least one inappropriate sexual behaviour in the workplace?
2327
{ "cells": [ [ "type of unwanted behaviour", "women", "", "", "men", "", "", "total", "", "" ], [ "", "percent", "95% confidence interval", "", "percent", "95% confidence interval", "", "percent", ...
[ "31.0" ]
b9fa0d411d3b7c768a2e9d09a0cbe943
what is the percentage of men who reported they had experienced inappropriate sexual behaviour in the workplace?
2327
{ "cells": [ [ "type of unwanted behaviour", "women", "", "", "men", "", "", "total", "", "" ], [ "", "percent", "95% confidence interval", "", "percent", "95% confidence interval", "", "percent", ...
[ "16.0" ]
bceba6c1d2d28182d130afd134aeaf9b
what is the percentage of women who reported being subjected to unwanted sexual attention, such as whistles, calls, suggestive looks, gestures or body language?
2327
{ "cells": [ [ "type of unwanted behaviour", "women", "", "", "men", "", "", "total", "", "" ], [ "", "percent", "95% confidence interval", "", "percent", "95% confidence interval", "", "percent", ...
[ "17.0" ]