Evolution of GDP per Capita , 1820-2016
Evolution of Life Expectancy at Birth (Total), 1908-2009
Evolution of Total Urban Population, 1500-2000
Evolution of Cattle per Capita, 1500-2010
Evolution of Cropland per Capita, 1500-2010
Evolution of Goats per Capita, 1500-2010
Raking and performance of all available indicators for the entire period covered by the data (download all indicators)
Period | Best performing | Worst performing | Best ranking | Worst ranking |
---|---|---|---|---|
1820-1869 26 | Total Pasture | Composite Measure of Wellbeing |
Composite Measure of Wellbeing |
Pasture per Capita |
1870-1919 31 | Composite Measure of Wellbeing |
Total SO2 Emissions | Total Population | Pasture per Capita |
1920-1959 44 | Zinc Production | Total SO2 Emissions | Zinc Production | Pasture per Capita |
1960-2010 50 | Total Num. of Goats | Total CO2 Emissions | Tungsten Production | Unified Democracy Scores (UDS) |
Overall 52 | Total Num. of Goats | Sheep per Capita | Total Num. of Pigs | Pasture per Capita |
Evolution of Biodiversity - naturalness, 1500-2010
Evolution of Aluminium Production, 1850-2012
Evolution of Copper Production, 1729-2012
Evolution of Gold Production, 1681-2012
Evolution of SO2 Emissions per Capita, 1850-2000
Click on the PRK badge next to an indicator below to download the corresponding indicator only for North Korea. The badge is only shown when data for North Korea are available. You can also download all available indicators for North Korea by clicking here
Clicking on the indicator's title takes you to the indicator's page as usual.
Cattle per CapitaPRK 1500 [43] 2010
Cropland per CapitaPRK 1500 [34] 2010
Goats per CapitaPRK 1500 [43] 2010
Pasture per CapitaPRK 1500 [34] 2010
Pigs per CapitaPRK 1500 [43] 2010
Sheep per CapitaPRK 1500 [43] 2010
Total CattlePRK 1500 [43] 2010
Total CroplandPRK 1500 [34] 2010
Total Number of GoatsPRK 1500 [43] 2010
Total Number of PigsPRK 1500 [43] 2010
Total Number of SheepPRK 1500 [43] 2010
Total PasturePRK 1500 [34] 2010
DemographyComposite Measure
of WellbeingPRK 1820 [19] 2000
Female life Expectancy at BirthPRK 1960 [5] 2000
Life Expectancy at Birth (Total)PRK 1908 [68] 2009
Male life Expectancy at BirthPRK 1960 [5] 2000
Total PopulationPRK 1800 [10] 2000
Total Urban PopulationPRK 1500 [11] 2000
Urbanization RatioPRK 1800 [3] 2000
EnvironmentBiodiversity - naturalnessPRK 1500 [34] 2010
CO2 Emissions per CapitaPRK 1950 [7] 2010
SO2 Emissions per CapitaPRK 1850 [16] 2000
Total CO2 EmissionsPRK 1945 [64] 2008
Total SO2 EmissionsPRK 1850 [16] 2000
FinanceGender Equality Years
of Education
Historical Gender Equality Index
Human CapitalAverage Years of EducationPRK 1910 [8] 1980
Educational Inequality Gini
CoefficientPRK 1915 [66] 1980
Armed Conflicts (Internal)PRK 1500 [501] 2000
Armed Conflicts (International)PRK 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)PRK 1948 [65] 2012
Competitiveness of Participations
(PARCOMP)PRK 1948 [65] 2012
Executive Constraints
(XCONST)PRK 1948 [65] 2012
Homicide RatesPRK 2004 [2] 2008
Latent Democracy VariablePRK 1948 [53] 2000
Openness of Executive
Recruitment (XROPEN)PRK 1948 [65] 2012
Political CompetitionPRK 1948 [53] 2000
Political ParticipationPRK 1948 [53] 2000
Polity2 IndexPRK 1948 [65] 2012
Regulation of Chief Executive
Recruitment (XRREG)PRK 1948 [65] 2012
Number of Days Lost in
Labour Disputes
Number of Workers Involved
in Labour Disputes
GDP per CapitaPRK 1820 [62] 2016
Prices and Wages ProductionAluminium ProductionPRK 1850 [163] 2012
Copper ProductionPRK 1729 [284] 2012
Gold ProductionPRK 1681 [332] 2012
Iron Ore ProductionPRK 1820 [193] 2012
Lead ProductionPRK 1705 [223] 2012
Silver ProductionPRK 1681 [332] 2012
Anguilla[No Data]
Antigua and Barbuda1500 (5)-2013 (21)
Aruba[No Data]
Bonaire, Sint Eustatius and Saba[No Data]
British Virgin Islands[No Data]
Cayman Islands[No Data]
Curaçao[No Data]
Dominican Republic1500 (6)-2018 (39)
Guadeloupe[No Data]
Martinique[No Data]
Montserrat[No Data]
Puerto Rico[No Data]
Saint Kitts and Nevis1500 (5)-2010 (14)
Saint Martin (French part)[No Data]
Saint Vincent and the Grenadines1500 (5)-2010 (20)
Saint-Barthélemy[No Data]
Sint Maarten (Dutch part)[No Data]
Trinidad and Tobago1500 (5)-2018 (35)
Turks and Caicos Islands[No Data]
United States Virgin Islands[No Data] Central America
Bolivia (Plurinational State of)1500 (8)-2018 (42)
Falkland Islands (Malvinas)[No Data]
French Guiana[No Data]
Venezuela (Bolivarian Republic of)1500 (8)-2018 (40)
Northern AmericaBermuda[No Data]
Greenland[No Data]
Saint Pierre and Miquelon[No Data]
Turkmenistan1500 (16)-2016 (27)
Eastern AsiaChina, Hong Kong Special Administrative Region[No Data]
China, Macao Special Administrative Region[No Data]
Åland Islands[No Data]
Channel Islands[No Data]
Faeroe Islands[No Data]
Guernsey[No Data]
Isle of Man[No Data]
Jersey[No Data]
Sark[No Data]
Svalbard and Jan Mayen Islands[No Data]
United Kingdom of Great Britain and Northern Ireland1500 (20)-2018 (56)
Guam[No Data]
Marshall Islands1500 (4)-2010 (5)
Micronesia (Federated States of)1500 (2)-2013 (6)
Northern Mariana Islands[No Data]
American Samoa[No Data]
French Polynesia[No Data]
Niue[No Data]
Pitcairn[No Data]
Tokelau[No Data]
Wallis and Futuna Islands[No Data]
Åland Islands[No Data]
Channel Islands[No Data]
Faeroe Islands[No Data]
Gibraltar[No Data]
Greenland[No Data]
Guernsey[No Data]
Holy See[No Data]
Isle of Man[No Data]
Jersey[No Data]
Netherlands1500 (22)-2018 (43)
Sark[No Data]
Svalbard and Jan Mayen Islands[No Data]
Switzerland1500 (19)-2018 (44)
United Kingdom of Great Britain and Northern Ireland1500 (20)-2018 (56)
Anguilla[No Data]
Antigua and Barbuda1500 (5)-2013 (21)
Aruba[No Data]
Bermuda[No Data]
Bolivia (Plurinational State of)1500 (8)-2018 (42)
Bonaire, Sint Eustatius and Saba[No Data]
British Virgin Islands[No Data]
Cayman Islands[No Data]
Curaçao[No Data]
Dominican Republic1500 (6)-2018 (39)
Falkland Islands (Malvinas)[No Data]
French Guiana[No Data]
Guadeloupe[No Data]
Martinique[No Data]
Montserrat[No Data]
Puerto Rico[No Data]
Saint Kitts and Nevis1500 (5)-2010 (14)
Saint Martin (French part)[No Data]
Saint Pierre and Miquelon[No Data]
Saint Vincent and the Grenadines1500 (5)-2010 (20)
Saint-Barthélemy[No Data]
Sint Maarten (Dutch part)[No Data]
Trinidad and Tobago1500 (5)-2018 (35)
Turks and Caicos Islands[No Data]
United States Virgin Islands[No Data]
Afghanistan1500 (16)-2016 (28)
American Samoa[No Data]
Brunei Darussalam1500 (12)-2013 (19)
French Polynesia[No Data]
Guam[No Data]
Marshall Islands1500 (4)-2010 (5)
Micronesia (Federated States of)1500 (2)-2013 (6)
New Caledonia[No Data]
Niue[No Data]
Norfolk Island[No Data]
Northern Mariana Islands[No Data]
Philippines1500 (17)-2018 (46)
Pitcairn[No Data]
Solomon Islands1500 (11)-2018 (25)
Tokelau[No Data]
Wallis and Futuna Islands[No Data]
China, Hong Kong Special Administrative Region[No Data]
China, Macao Special Administrative Region[No Data]
Guinea-Bissau1500 (16)-2018 (31)
Mayotte[No Data]
Réunion[No Data]
Saint Helena[No Data]
Sao Tome and Principe1500 (14)-2016 (20)
Sierra Leone1500 (15)-2018 (36)
South Africa1500 (14)-2018 (49)
In 2010, the Netherlands Organisation for Scientific Research (NWO) awarded a subsidy to the Clio Infra project, of which Jan Luiten van Zanden was the main applicant and which is hosted by the International Institute of Social History (IISH). Clio Infra has set up a number of interconnected databases containing worldwide data on social, economic, and institutional indicators for the past five centuries, with special attention to the past 200 years. These indicators allow research into long-term development of worldwide economic growth and inequality.
Global inequality is one of the key problems of the contemporary world. Some countries have (recently) become wealthy, other countries have remained poor. New theoretical developments in economics - such as new institutional economics, new economic geography, and new growth theory - and the rise of global economic and social history require such processes to be studied on a worldwide scale. Clio Infra provides datasets for the most important indicators. Economic and social historians from around the world have been working together in thematic collaboratories, in order to collect and share their knowledge concerning the relevant indicators of economic performance and its causes. The collected data have been standardized, harmonized, and stored for future use. New indicators to study inequality have been developed. The datasets are accessible through the Clio Infra portal which also offers possibilities for visualization of the data. Clio Infra offers the opportunity to greatly enhance our understanding of the origins, causes and character of the process of global inequality.
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