📊 share of population educated #3715
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data-diff: ❌ Found differences= Dataset garden/demography/2024-12-06/wittgenstein_human_capital
= Table by_sex
= Table by_age
= Table by_sex_age
= Table main
= Table by_sex_age_edu
~ Dim country
+ + New values: 827535 / 21161835 (3.91%)
scenario sex age education year country
4 female 15+ under_15 2015 Australia
3 female 15+ no_education 2015 Austria
5 male 15+ some_education 1990 Bahrain
2 female 15+ upper_secondary 2035 Gambia
4 total 15+ incomplete_primary 2075 United States
~ Dim scenario
+ + New values: 827535 / 21161835 (3.91%)
country sex age education year scenario
Australia female 15+ under_15 2015 4
Austria female 15+ no_education 2015 3
Bahrain male 15+ some_education 1990 5
Gambia female 15+ upper_secondary 2035 2
United States total 15+ incomplete_primary 2075 4
~ Dim sex
+ + New values: 827535 / 21161835 (3.91%)
country scenario age education year sex
Australia 4 15+ under_15 2015 female
Austria 3 15+ no_education 2015 female
Bahrain 5 15+ some_education 1990 male
Gambia 2 15+ upper_secondary 2035 female
United States 4 15+ incomplete_primary 2075 total
~ Dim age
+ + New values: 827535 / 21161835 (3.91%)
country scenario sex education year age
Australia 4 female under_15 2015 15+
Austria 3 female no_education 2015 15+
Bahrain 5 male some_education 1990 15+
Gambia 2 female upper_secondary 2035 15+
United States 4 total incomplete_primary 2075 15+
~ Dim education
+ + New values: 827535 / 21161835 (3.91%)
country scenario sex age year education
Australia 4 female 15+ 2015 under_15
Austria 3 female 15+ 2015 no_education
Bahrain 5 male 15+ 1990 some_education
Gambia 2 female 15+ 2035 upper_secondary
United States 4 total 15+ 2075 incomplete_primary
~ Dim year
+ + New values: 827535 / 21161835 (3.91%)
country scenario sex age education year
Australia 4 female 15+ under_15 2015
Austria 3 female 15+ no_education 2015
Bahrain 5 male 15+ some_education 1990
Gambia 2 female 15+ upper_secondary 2035
United States 4 total 15+ incomplete_primary 2075
~ Column assr (new data)
+ + New values: 827535 / 21161835 (3.91%)
country scenario sex age education year assr
Australia 4 female 15+ under_15 2015 <NA>
Austria 3 female 15+ no_education 2015 <NA>
Bahrain 5 male 15+ some_education 1990 <NA>
Gambia 2 female 15+ upper_secondary 2035 <NA>
United States 4 total 15+ incomplete_primary 2075 <NA>
~ Column pop (new data)
+ + New values: 827535 / 21161835 (3.91%)
country scenario sex age education year pop
Australia 4 female 15+ under_15 2015 0.0
Austria 3 female 15+ no_education 2015 0.0
Bahrain 5 male 15+ some_education 1990 163000.0
Gambia 2 female 15+ upper_secondary 2035 248000.0
United States 4 total 15+ incomplete_primary 2075 843700.0
~ Column prop (new data)
+ + New values: 827535 / 21161835 (3.91%)
country scenario sex age education year prop
Australia 4 female 15+ under_15 2015 0.0
Austria 3 female 15+ no_education 2015 0.0
Bahrain 5 male 15+ some_education 1990 80.374756
Gambia 2 female 15+ upper_secondary 2035 21.531515
United States 4 total 15+ incomplete_primary 2075 0.269206
= Table by_age_edu
= Table by_edu
= Dataset garden/demography/2024-12-06/wittgenstein_human_capital_historical
= Table by_sex
= Table by_age
= Table by_sex_age
= Table main
= Table by_sex_age_edu
~ Dim country
+ + New values: 362415 / 15871095 (2.28%)
scenario sex age education year country
2 female 15+ no_education 1995 Belize
4 male 15+ no_education 1995 Ireland
1 male 15+ upper_secondary 1980 Macao
5 female 15+ lower_secondary 2000 Middle Africa (UNSD)
5 total 15+ under_15 1965 Mozambique
~ Dim scenario
+ + New values: 362415 / 15871095 (2.28%)
country sex age education year scenario
Belize female 15+ no_education 1995 2
Ireland male 15+ no_education 1995 4
Macao male 15+ upper_secondary 1980 1
Middle Africa (UNSD) female 15+ lower_secondary 2000 5
Mozambique total 15+ under_15 1965 5
~ Dim sex
+ + New values: 362415 / 15871095 (2.28%)
country scenario age education year sex
Belize 2 15+ no_education 1995 female
Ireland 4 15+ no_education 1995 male
Macao 1 15+ upper_secondary 1980 male
Middle Africa (UNSD) 5 15+ lower_secondary 2000 female
Mozambique 5 15+ under_15 1965 total
~ Dim age
+ + New values: 362415 / 15871095 (2.28%)
country scenario sex education year age
Belize 2 female no_education 1995 15+
Ireland 4 male no_education 1995 15+
Macao 1 male upper_secondary 1980 15+
Middle Africa (UNSD) 5 female lower_secondary 2000 15+
Mozambique 5 total under_15 1965 15+
~ Dim education
+ + New values: 362415 / 15871095 (2.28%)
country scenario sex age year education
Belize 2 female 15+ 1995 no_education
Ireland 4 male 15+ 1995 no_education
Macao 1 male 15+ 1980 upper_secondary
Middle Africa (UNSD) 5 female 15+ 2000 lower_secondary
Mozambique 5 total 15+ 1965 under_15
~ Dim year
+ + New values: 362415 / 15871095 (2.28%)
country scenario sex age education year
Belize 2 female 15+ no_education 1995
Ireland 4 male 15+ no_education 1995
Macao 1 male 15+ upper_secondary 1980
Middle Africa (UNSD) 5 female 15+ lower_secondary 2000
Mozambique 5 total 15+ under_15 1965
~ Column assr (new data)
+ + New values: 362415 / 15871095 (2.28%)
country scenario sex age education year assr
Belize 2 female 15+ no_education 1995 <NA>
Ireland 4 male 15+ no_education 1995 <NA>
Macao 1 male 15+ upper_secondary 1980 <NA>
Middle Africa (UNSD) 5 female 15+ lower_secondary 2000 <NA>
Mozambique 5 total 15+ under_15 1965 <NA>
~ Column pop (new data)
+ + New values: 362415 / 15871095 (2.28%)
country scenario sex age education year pop
Belize 2 female 15+ no_education 1995 5400.0
Ireland 4 male 15+ no_education 1995 0.0
Macao 1 male 15+ upper_secondary 1980 13500.0
Middle Africa (UNSD) 5 female 15+ lower_secondary 2000 2967400.0
Mozambique 5 total 15+ under_15 1965 0.061035
~ Column prop (new data)
+ + New values: 362415 / 15871095 (2.28%)
country scenario sex age education year prop
Belize 2 female 15+ no_education 1995 9.137056
Ireland 4 male 15+ no_education 1995 0.0
Macao 1 male 15+ upper_secondary 1980 14.438502
Middle Africa (UNSD) 5 female 15+ lower_secondary 2000 11.159498
Mozambique 5 total 15+ under_15 1965 0.000001
= Table by_age_edu
= Table by_edu
= Dataset garden/demography/2024-12-06/wittgenstein_human_capital_proj
= Table by_sex
= Table by_age
= Table by_sex_age
= Table main
= Table by_sex_age_edu
~ Dim country
+ + New values: 465120 / 10327260 (4.50%)
scenario sex age education year country
1 male 15+ lower_secondary 2080 Bolivia
4 total 15+ post_secondary 2055 Caribbean (UNSD)
5 female 15+ post_secondary 2095 Trinidad and Tobago
3 male 15+ primary 2065 Uzbekistan
4 total 15+ lower_secondary 2085 Western Sahara
~ Dim scenario
+ + New values: 465120 / 10327260 (4.50%)
country sex age education year scenario
Bolivia male 15+ lower_secondary 2080 1
Caribbean (UNSD) total 15+ post_secondary 2055 4
Trinidad and Tobago female 15+ post_secondary 2095 5
Uzbekistan male 15+ primary 2065 3
Western Sahara total 15+ lower_secondary 2085 4
~ Dim sex
+ + New values: 465120 / 10327260 (4.50%)
country scenario age education year sex
Bolivia 1 15+ lower_secondary 2080 male
Caribbean (UNSD) 4 15+ post_secondary 2055 total
Trinidad and Tobago 5 15+ post_secondary 2095 female
Uzbekistan 3 15+ primary 2065 male
Western Sahara 4 15+ lower_secondary 2085 total
~ Dim age
+ + New values: 465120 / 10327260 (4.50%)
country scenario sex education year age
Bolivia 1 male lower_secondary 2080 15+
Caribbean (UNSD) 4 total post_secondary 2055 15+
Trinidad and Tobago 5 female post_secondary 2095 15+
Uzbekistan 3 male primary 2065 15+
Western Sahara 4 total lower_secondary 2085 15+
~ Dim education
+ + New values: 465120 / 10327260 (4.50%)
country scenario sex age year education
Bolivia 1 male 15+ 2080 lower_secondary
Caribbean (UNSD) 4 total 15+ 2055 post_secondary
Trinidad and Tobago 5 female 15+ 2095 post_secondary
Uzbekistan 3 male 15+ 2065 primary
Western Sahara 4 total 15+ 2085 lower_secondary
~ Dim year
+ + New values: 465120 / 10327260 (4.50%)
country scenario sex age education year
Bolivia 1 male 15+ lower_secondary 2080
Caribbean (UNSD) 4 total 15+ post_secondary 2055
Trinidad and Tobago 5 female 15+ post_secondary 2095
Uzbekistan 3 male 15+ primary 2065
Western Sahara 4 total 15+ lower_secondary 2085
~ Column assr (new data)
+ + New values: 465120 / 10327260 (4.50%)
country scenario sex age education year assr
Bolivia 1 male 15+ lower_secondary 2080 <NA>
Caribbean (UNSD) 4 total 15+ post_secondary 2055 <NA>
Trinidad and Tobago 5 female 15+ post_secondary 2095 <NA>
Uzbekistan 3 male 15+ primary 2065 <NA>
Western Sahara 4 total 15+ lower_secondary 2085 <NA>
~ Column pop (new data)
+ + New values: 465120 / 10327260 (4.50%)
country scenario sex age education year pop
Bolivia 1 male 15+ lower_secondary 2080 558800.0
Caribbean (UNSD) 4 total 15+ post_secondary 2055 9025600.0
Trinidad and Tobago 5 female 15+ post_secondary 2095 322300.0
Uzbekistan 3 male 15+ primary 2065 584200.0
Western Sahara 4 total 15+ lower_secondary 2085 59500.0
~ Column prop (new data)
+ + New values: 465120 / 10327260 (4.50%)
country scenario sex age education year prop
Bolivia 1 male 15+ lower_secondary 2080 8.746693
Caribbean (UNSD) 4 total 15+ post_secondary 2055 22.203579
Trinidad and Tobago 5 female 15+ post_secondary 2095 66.825623
Uzbekistan 3 male 15+ primary 2065 2.700479
Western Sahara 4 total 15+ lower_secondary 2085 7.367509
= Table by_age_edu
= Table by_edu
+ Dataset garden/education/2024-12-11/people_with_education
+ + Table people_with_education
+ + Column no_basic_education
+ + Column basic_education
Legend: +New ~Modified -Removed =Identical Details
Hint: Run this locally with etl diff REMOTE data/ --include yourdataset --verbose --snippetAutomatically updated datasets matching weekly_wildfires|excess_mortality|covid|fluid|flunet|country_profile|garden/ihme_gbd/2019/gbd_risk are not included Edited: 2024-12-11 21:42:02 UTC |
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Update our long-run "people with basic education" indicator with latest available data from Wittgenstein Centre.