💄 urbanization: GHSL new citation + small tweaks to the charts #3705
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data-diff: ❌ Found differences= Dataset garden/un/2024-01-17/urban_agglomerations_300k
= Table urban_agglomerations_300k
~ Column annual_population_of_urban_agglomerations_with_300_000_inhabitants_or_more__by_country_estimates (changed data)
~ Changed values: 462 / 13244 (3.49%)
country year annual_population_of_urban_agglomerations_with_300_000_inhabitants_or_more__by_country_estimates - annual_population_of_urban_agglomerations_with_300_000_inhabitants_or_more__by_country_estimates +
Austria 2016 1856622.0 <NA>
China 2016 1235977.25 <NA>
North Korea 2018 981610.1875 <NA>
Denmark 2017 1303974.0 <NA>
Kuwait 2016 2701443.0 <NA>
~ Column annual_population_of_urban_agglomerations_with_300_000_inhabitants_or_more__by_country_projections (changed data)
~ Changed values: 616 / 13244 (4.65%)
country year annual_population_of_urban_agglomerations_with_300_000_inhabitants_or_more__by_country_projections - annual_population_of_urban_agglomerations_with_300_000_inhabitants_or_more__by_country_projections +
Belgium 2016 <NA> 914608.1875
Czechia 2017 <NA> 831096.0
Gambia 2018 <NA> 437161.0
Hungary 2016 <NA> 1750425.0
South Africa 2015 <NA> 1598906.125
~ Column average_annual_rate_of_change_of_urban_agglomerations_with_300_000_inhabitants_or_more_in_2018__by_country__percent_projections (changed data)
~ Changed values: 154 / 13244 (1.16%)
country year average_annual_rate_of_change_of_urban_agglomerations_with_300_000_inhabitants_or_more_in_2018__by_country__percent_projections - average_annual_rate_of_change_of_urban_agglomerations_with_300_000_inhabitants_or_more_in_2018__by_country__percent_projections +
Chad 2015 <NA> 3.614413
China 2015 <NA> 3.095072
Mongolia 2015 <NA> 3.633302
Portugal 2015 <NA> 0.356262
Yemen 2015 <NA> 4.781901
~ Column percentage_of_the_total_population_residing_in_each_urban_agglomeration_with_300_000_inhabitants_or_more_in_2018__by_country_projections (changed data)
~ Changed values: 154 / 13244 (1.16%)
country year percentage_of_the_total_population_residing_in_each_urban_agglomeration_with_300_000_inhabitants_or_more_in_2018__by_country_projections - percentage_of_the_total_population_residing_in_each_urban_agglomeration_with_300_000_inhabitants_or_more_in_2018__by_country_projections +
Chad 2015 <NA> 8.471
China 2015 <NA> 0.085976
Mongolia 2015 <NA> 45.837002
Portugal 2015 <NA> 20.070499
Yemen 2015 <NA> 3.021286
~ Column percentage_of_the_urban_population_residing_in_each_urban_agglomeration_with_300_000_inhabitants_or_more_in_2018__by_country_projections (changed data)
~ Changed values: 154 / 13244 (1.16%)
country year percentage_of_the_urban_population_residing_in_each_urban_agglomeration_with_300_000_inhabitants_or_more_in_2018__by_country_projections - percentage_of_the_urban_population_residing_in_each_urban_agglomeration_with_300_000_inhabitants_or_more_in_2018__by_country_projections +
Chad 2015 <NA> 37.625
China 2015 <NA> 0.154934
Mongolia 2015 <NA> 67.18
Portugal 2015 <NA> 31.601002
Yemen 2015 <NA> 8.688286
= Dataset garden/un/2024-01-17/urban_agglomerations_size_class
= Table urban_agglomerations_size_class
~ Column _10_million_or_more_number_of_agglomerations_projections (changed data)
~ Changed values: 239 / 4302 (5.56%)
country year _10_million_or_more_number_of_agglomerations_projections - _10_million_or_more_number_of_agglomerations_projections +
Kiribati 2015 <NA> 0.0
Latvia 2015 <NA> 0.0
Malawi 2015 <NA> 0.0
Nigeria 2015 <NA> 1.0
Samoa 2015 <NA> 0.0
~ Column _10_million_or_more_percentage_of_urban_population_projections (changed data)
~ Changed values: 239 / 4302 (5.56%)
country year _10_million_or_more_percentage_of_urban_population_projections - _10_million_or_more_percentage_of_urban_population_projections +
Kiribati 2015 <NA> 0.0
Latvia 2015 <NA> 0.0
Malawi 2015 <NA> 0.0
Nigeria 2015 <NA> 14.121114
Samoa 2015 <NA> 0.0
~ Column _10_million_or_more_population_projections (changed data)
~ Changed values: 239 / 4302 (5.56%)
country year _10_million_or_more_population_projections - _10_million_or_more_population_projections +
Kiribati 2015 <NA> 0.0
Latvia 2015 <NA> 0.0
Malawi 2015 <NA> 0.0
Nigeria 2015 <NA> 12239206.0
Samoa 2015 <NA> 0.0
~ Column _1_to_5_million_number_of_agglomerations_projections (changed data)
~ Changed values: 239 / 4302 (5.56%)
country year _1_to_5_million_number_of_agglomerations_projections - _1_to_5_million_number_of_agglomerations_projections +
Kiribati 2015 <NA> 0.0
Latvia 2015 <NA> 0.0
Malawi 2015 <NA> 0.0
Nigeria 2015 <NA> 7.0
Samoa 2015 <NA> 0.0
~ Column _1_to_5_million_percentage_of_urban_population_projections (changed data)
~ Changed values: 239 / 4302 (5.56%)
country year _1_to_5_million_percentage_of_urban_population_projections - _1_to_5_million_percentage_of_urban_population_projections +
Kiribati 2015 <NA> 0.0
Latvia 2015 <NA> 0.0
Malawi 2015 <NA> 0.0
Nigeria 2015 <NA> 17.509979
Samoa 2015 <NA> 0.0
~ Column _1_to_5_million_population_projections (changed data)
~ Changed values: 239 / 4302 (5.56%)
country year _1_to_5_million_population_projections - _1_to_5_million_population_projections +
Kiribati 2015 <NA> 0.0
Latvia 2015 <NA> 0.0
Malawi 2015 <NA> 0.0
Nigeria 2015 <NA> 15176440.0
Samoa 2015 <NA> 0.0
~ Column _300_000_to_500_000_number_of_agglomerations_projections (changed data)
~ Changed values: 239 / 4302 (5.56%)
country year _300_000_to_500_000_number_of_agglomerations_projections - _300_000_to_500_000_number_of_agglomerations_projections +
Kiribati 2015 <NA> 0.0
Latvia 2015 <NA> 0.0
Malawi 2015 <NA> 0.0
Nigeria 2015 <NA> 21.0
Samoa 2015 <NA> 0.0
~ Column _300_000_to_500_000_percentage_of_urban_population_projections (changed data)
~ Changed values: 239 / 4302 (5.56%)
country year _300_000_to_500_000_percentage_of_urban_population_projections - _300_000_to_500_000_percentage_of_urban_population_projections +
Kiribati 2015 <NA> 0.0
Latvia 2015 <NA> 0.0
Malawi 2015 <NA> 0.0
Nigeria 2015 <NA> 9.577028
Samoa 2015 <NA> 0.0
~ Column _300_000_to_500_000_population_projections (changed data)
~ Changed values: 239 / 4302 (5.56%)
country year _300_000_to_500_000_population_projections - _300_000_to_500_000_population_projections +
Kiribati 2015 <NA> 0.0
Latvia 2015 <NA> 0.0
Malawi 2015 <NA> 0.0
Nigeria 2015 <NA> 8300707.0
Samoa 2015 <NA> 0.0
~ Column _500_000_to_1_million_number_of_agglomerations_projections (changed data)
~ Changed values: 239 / 4302 (5.56%)
country year _500_000_to_1_million_number_of_agglomerations_projections - _500_000_to_1_million_number_of_agglomerations_projections +
Kiribati 2015 <NA> 0.0
Latvia 2015 <NA> 1.0
Malawi 2015 <NA> 2.0
Nigeria 2015 <NA> 15.0
Samoa 2015 <NA> 0.0
~ Column _500_000_to_1_million_percentage_of_urban_population_projections (changed data)
~ Changed values: 239 / 4302 (5.56%)
country year _500_000_to_1_million_percentage_of_urban_population_projections - _500_000_to_1_million_percentage_of_urban_population_projections +
Kiribati 2015 <NA> 0.0
Latvia 2015 <NA> 47.675274
Malawi 2015 <NA> 59.756062
Nigeria 2015 <NA> 12.411025
Samoa 2015 <NA> 0.0
~ Column _500_000_to_1_million_population_projections (changed data)
~ Changed values: 239 / 4302 (5.56%)
country year _500_000_to_1_million_population_projections - _500_000_to_1_million_population_projections +
Kiribati 2015 <NA> 0.0
Latvia 2015 <NA> 645815.0
Malawi 2015 <NA> 1713027.0
Nigeria 2015 <NA> 10757019.0
Samoa 2015 <NA> 0.0
~ Column _5_to_10_million_number_of_agglomerations_projections (changed data)
~ Changed values: 239 / 4302 (5.56%)
country year _5_to_10_million_number_of_agglomerations_projections - _5_to_10_million_number_of_agglomerations_projections +
Kiribati 2015 <NA> 0.0
Latvia 2015 <NA> 0.0
Malawi 2015 <NA> 0.0
Nigeria 2015 <NA> 0.0
Samoa 2015 <NA> 0.0
~ Column _5_to_10_million_percentage_of_urban_population_projections (changed data)
~ Changed values: 239 / 4302 (5.56%)
country year _5_to_10_million_percentage_of_urban_population_projections - _5_to_10_million_percentage_of_urban_population_projections +
Kiribati 2015 <NA> 0.0
Latvia 2015 <NA> 0.0
Malawi 2015 <NA> 0.0
Nigeria 2015 <NA> 0.0
Samoa 2015 <NA> 0.0
~ Column _5_to_10_million_population_projections (changed data)
~ Changed values: 239 / 4302 (5.56%)
country year _5_to_10_million_population_projections - _5_to_10_million_population_projections +
Kiribati 2015 <NA> 0.0
Latvia 2015 <NA> 0.0
Malawi 2015 <NA> 0.0
Nigeria 2015 <NA> 0.0
Samoa 2015 <NA> 0.0
~ Column fewer_than_300_000_percentage_of_urban_population_projections (changed data)
~ Changed values: 239 / 4302 (5.56%)
country year fewer_than_300_000_percentage_of_urban_population_projections - fewer_than_300_000_percentage_of_urban_population_projections +
Kiribati 2015 <NA> 100.0
Latvia 2015 <NA> 52.324726
Malawi 2015 <NA> 40.243938
Nigeria 2015 <NA> 46.380856
Samoa 2015 <NA> 100.0
~ Column fewer_than_300_000_population_projections (changed data)
~ Changed values: 239 / 4302 (5.56%)
country year fewer_than_300_000_population_projections - fewer_than_300_000_population_projections +
Kiribati 2015 <NA> 58024.0
Latvia 2015 <NA> 708797.0
Malawi 2015 <NA> 1153673.0
Nigeria 2015 <NA> 40199724.0
Samoa 2015 <NA> 36648.0
= Dataset garden/un/2024-01-17/urbanization_urban_rural
= Table urbanization_urban_rural
~ Column annual_percentage_of_population_at_mid_year_residing_in_urban_areas_by_region__subregion_and_country_estimates (changed data)
~ Changed values: 813 / 39261 (2.07%)
country year annual_percentage_of_population_at_mid_year_residing_in_urban_areas_by_region__subregion_and_country_estimates - annual_percentage_of_population_at_mid_year_residing_in_urban_areas_by_region__subregion_and_country_estimates +
Bonaire Sint Eustatius and Saba 2016 74.792 <NA>
Croatia 2016 56.403 <NA>
Saint Lucia 2016 18.558001 <NA>
Saudi Arabia 2017 83.622002 <NA>
Eritrea 2018 40.080002 <NA>
~ Column annual_percentage_of_population_at_mid_year_residing_in_urban_areas_by_region__subregion_and_country_projections (changed data)
~ Changed values: 1084 / 39261 (2.76%)
country year annual_percentage_of_population_at_mid_year_residing_in_urban_areas_by_region__subregion_and_country_projections - annual_percentage_of_population_at_mid_year_residing_in_urban_areas_by_region__subregion_and_country_projections +
Pakistan 2015 <NA> 36.026001
Saint Vincent and the Grenadines 2015 <NA> 50.964001
Africa (UN) 2016 <NA> 41.604115
Gabon 2016 <NA> 88.558998
Upper-middle-income countries (UN) 2018 <NA> 66.627327
~ Column annual_rural_population_at_mid_year_by_region__subregion_and_country_estimates (changed data)
~ Changed values: 813 / 39261 (2.07%)
country year annual_rural_population_at_mid_year_by_region__subregion_and_country_estimates - annual_rural_population_at_mid_year_by_region__subregion_and_country_estimates +
Bonaire Sint Eustatius and Saba 2016 6307.0 <NA>
Croatia 2016 1836858.0 <NA>
Saint Lucia 2016 144979.0 <NA>
Saudi Arabia 2017 5394590.0 <NA>
Eritrea 2018 3108634.0 <NA>
~ Column annual_rural_population_at_mid_year_by_region__subregion_and_country_projections (changed data)
~ Changed values: 1084 / 39261 (2.76%)
country year annual_rural_population_at_mid_year_by_region__subregion_and_country_projections - annual_rural_population_at_mid_year_by_region__subregion_and_country_projections +
Pakistan 2015 <NA> 121153728.0
Saint Vincent and the Grenadines 2015 <NA> 53672.0
Africa (UN) 2016 <NA> 715396608.0
Gabon 2016 <NA> 226498.0
Upper-middle-income countries (UN) 2018 <NA> 881116992.0
~ Column annual_urban_population_at_mid_year_by_region__subregion_and_country_estimates (changed data)
~ Changed values: 813 / 39261 (2.07%)
country year annual_urban_population_at_mid_year_by_region__subregion_and_country_estimates - annual_urban_population_at_mid_year_by_region__subregion_and_country_estimates +
Bonaire Sint Eustatius and Saba 2016 18712.0 <NA>
Croatia 2016 2376407.0 <NA>
Saint Lucia 2016 33036.0 <NA>
Saudi Arabia 2017 27543624.0 <NA>
Eritrea 2018 2079314.0 <NA>
~ Column annual_urban_population_at_mid_year_by_region__subregion_and_country_projections (changed data)
~ Changed values: 1084 / 39261 (2.76%)
country year annual_urban_population_at_mid_year_by_region__subregion_and_country_projections - annual_urban_population_at_mid_year_by_region__subregion_and_country_projections +
Pakistan 2015 <NA> 68226784.0
Saint Vincent and the Grenadines 2015 <NA> 55783.0
Africa (UN) 2016 <NA> 509683872.0
Gabon 2016 <NA> 1753288.0
Upper-middle-income countries (UN) 2018 <NA> 1759117696.0
~ Column average_annual_rate_of_change_of_the_percentage_rural_by_region__subregion_and_country__percent_projections (changed data)
~ Changed values: 271 / 39261 (0.69%)
country year average_annual_rate_of_change_of_the_percentage_rural_by_region__subregion_and_country__percent_projections - average_annual_rate_of_change_of_the_percentage_rural_by_region__subregion_and_country__percent_projections +
Dominican Republic 2015 <NA> -4.051465
Less developed regions, excluding China (UN) 2015 <NA> -0.698174
Lower-middle-income countries (UN) 2015 <NA> -0.689969
South-Central Asia (UN) 2015 <NA> -0.573107
United States Virgin Islands 2015 <NA> -3.012845
~ Column average_annual_rate_of_change_of_the_percentage_urban_by_region__subregion_and_country__percent_projections (changed data)
~ Changed values: 271 / 39261 (0.69%)
country year average_annual_rate_of_change_of_the_percentage_urban_by_region__subregion_and_country__percent_projections - average_annual_rate_of_change_of_the_percentage_urban_by_region__subregion_and_country__percent_projections +
Dominican Republic 2015 <NA> 1.264347
Less developed regions, excluding China (UN) 2015 <NA> 0.823801
Lower-middle-income countries (UN) 2015 <NA> 1.117251
South-Central Asia (UN) 2015 <NA> 1.111031
United States Virgin Islands 2015 <NA> 0.159206
~ Column average_annual_rate_of_change_of_the_rural_population_by_region__subregion_and_country__percent_projections (changed data)
~ Changed values: 271 / 39261 (0.69%)
country year average_annual_rate_of_change_of_the_rural_population_by_region__subregion_and_country__percent_projections - average_annual_rate_of_change_of_the_rural_population_by_region__subregion_and_country__percent_projections +
Dominican Republic 2015 <NA> -2.816307
Less developed regions, excluding China (UN) 2015 <NA> 0.93582
Lower-middle-income countries (UN) 2015 <NA> 0.794329
South-Central Asia (UN) 2015 <NA> 0.776743
United States Virgin Islands 2015 <NA> -3.231115
~ Column average_annual_rate_of_change_of_the_total_population_by_region__subregion_and_country__percent_projections (changed data)
~ Changed values: 271 / 39261 (0.69%)
country year average_annual_rate_of_change_of_the_total_population_by_region__subregion_and_country__percent_projections - average_annual_rate_of_change_of_the_total_population_by_region__subregion_and_country__percent_projections +
Dominican Republic 2015 <NA> 1.234892
Less developed regions, excluding China (UN) 2015 <NA> 1.633994
Lower-middle-income countries (UN) 2015 <NA> 1.484298
South-Central Asia (UN) 2015 <NA> 1.34985
United States Virgin Islands 2015 <NA> -0.22205
~ Column average_annual_rate_of_change_of_the_urban_population_by_region__subregion_and_country__percent_projections (changed data)
~ Changed values: 271 / 39261 (0.69%)
country year average_annual_rate_of_change_of_the_urban_population_by_region__subregion_and_country__percent_projections - average_annual_rate_of_change_of_the_urban_population_by_region__subregion_and_country__percent_projections +
Dominican Republic 2015 <NA> 2.499171
Less developed regions, excluding China (UN) 2015 <NA> 2.457795
Lower-middle-income countries (UN) 2015 <NA> 2.601549
South-Central Asia (UN) 2015 <NA> 2.460881
United States Virgin Islands 2015 <NA> -0.063041
= Dataset garden/urbanization/2024-10-14/ghsl_degree_of_urbanisation
= Table ghsl_degree_of_urbanisation
~ Column value (changed metadata)
- - Carioli A., Schiavina M., Melchiorri M. (2024): GHS-COUNTRY-STATS R2024A - GHSL Country Statistics by Degree of Urbanization, multitemporal (1975-2030). European Commission, Joint Research Centre (JRC) [Dataset] doi:10.2905/341c0608-5ca5-4ddb-b068-a412e35a3326 PID: http://data.europa.eu/89h/341c0608-5ca5-4ddb-b068-a412e35a3326
? ^^ ^^ ^
+ + Carioli, Alessandra; Schiavina, Marcello; Melchiorri, Michele (2024): GHS-COUNTRY-STATS R2024A - GHSL Country Statistics by Degree of Urbanization, multitemporal (1975-2030). European Commission, Joint Research Centre (JRC) [Dataset] doi: 10.2905/341c0608-5ca5-4ddb-b068-a412e35a3326 PID: http://data.europa.eu/89h/341c0608-5ca5-4ddb-b068-a412e35a3326
? + ^^^^^^^^^^ + ^^^^^^^^ + ^^^^^^ +
- - url_main: https://ghsl.jrc.ec.europa.eu/CFS.php
+ + url_main: https://data.jrc.ec.europa.eu/dataset/341c0608-5ca5-4ddb-b068-a412e35a3326
= Dataset garden/urbanization/2024-12-02/ghsl_urban_centers
= Table ghsl_urban_centers
~ Dim country
- - Removed values: 432 / 3516 (12.29%)
year country
2025 Athens (Greece)
2005 Birmingham (United Kingdom)
2025 Fukuoka (Japan)
2010 Kyiv (Ukraine)
2005 Tashkent (Uzbekistan)
~ Dim year
- - Removed values: 432 / 3516 (12.29%)
country year
Athens (Greece) 2025
Birmingham (United Kingdom) 2005
Fukuoka (Japan) 2025
Kyiv (Ukraine) 2010
Tashkent (Uzbekistan) 2005
~ Column urban_density_top_100_estimates (changed metadata, changed data)
- - description_short: The number of people per km² of land area for cities ranked among the top 100 most populous in either 1975
? ^^^^^^^^^^^
+ + description_short: The number of people per km² of land area for cities ranked among the top 100 most populous in 2020.
? ^^^^^
- - or 2020.
- - Removed values: 432 / 3516 (12.29%)
country year urban_density_top_100_estimates
Athens (Greece) 2025 <NA>
Birmingham (United Kingdom) 2005 3443.64917
Fukuoka (Japan) 2025 <NA>
Kyiv (Ukraine) 2010 6634.73291
Tashkent (Uzbekistan) 2005 6140.244629
~ Column urban_density_top_100_projections (changed metadata, changed data)
- - description_short: The number of people per km² of land area for cities ranked among the top 100 most populous in either 1975
? ^^^^^^^^^^^
+ + description_short: The number of people per km² of land area for cities ranked among the top 100 most populous in 2020.
? ^^^^^
- - or 2020.
- - Removed values: 432 / 3516 (12.29%)
country year urban_density_top_100_projections
Athens (Greece) 2025 7686.304199
Birmingham (United Kingdom) 2005 <NA>
Fukuoka (Japan) 2025 4918.456055
Kyiv (Ukraine) 2010 <NA>
Tashkent (Uzbekistan) 2005 <NA>
~ Column urban_pop_top_100_estimates (changed metadata, changed data)
- - description_short: The total number of people living in cities ranked among the top 100 most populous in either 1975 or 2020.
? ---------------
+ + description_short: The total number of people living in cities ranked among the top 100 most populous in 2020.
- - Removed values: 432 / 3516 (12.29%)
country year urban_pop_top_100_estimates
Athens (Greece) 2025 <NA>
Birmingham (United Kingdom) 2005 2279695.75
Fukuoka (Japan) 2025 <NA>
Kyiv (Ukraine) 2010 2700336.25
Tashkent (Uzbekistan) 2005 3094683.25
~ Column urban_pop_top_100_projections (changed metadata, changed data)
- - description_short: The total number of people living in cities ranked among the top 100 most populous in either 1975 or 2020.
? ---------------
+ + description_short: The total number of people living in cities ranked among the top 100 most populous in 2020.
- - Removed values: 432 / 3516 (12.29%)
country year urban_pop_top_100_projections
Athens (Greece) 2025 3166757.5
Birmingham (United Kingdom) 2005 <NA>
Fukuoka (Japan) 2025 2213305.25
Kyiv (Ukraine) 2010 <NA>
Tashkent (Uzbekistan) 2005 <NA>
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: 2024-12-07 13:59:13 UTC |
veronikasamborska1994
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