Evolution of Total Population , 1500-2000
Evolution of Total Urban Population, 1500-2000
Evolution of Political Competition, 1919-2000
Evolution of Latent Democracy Variable, 1919-2000
Evolution of Competitiveness of Participations (PARCOMP), 1800-2012
Evolution of Regulation of Participation (PARREG), 1800-2012
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 22 | Total Pasture | Sheep per Capita | Regulation of Chief Executive Recruitment (XRREG) |
Composite Measure of Wellbeing |
1870-1919 26 | Total Pasture | Sheep per Capita | Regulation of Chief Executive Recruitment (XRREG) |
Composite Measure of Wellbeing |
1920-1959 36 | Gender Equality of Numeracy |
Competitiveness of Participations (PARCOMP) |
Regulation of Chief Executive Recruitment (XRREG) |
Composite Measure of Wellbeing |
1960-2010 41 | Average Years of Education |
Competitiveness of Participations (PARCOMP) |
Sheep per Capita | Female life Expectancy at Birth |
Overall 47 | Total Pasture | Sheep per Capita | Sheep per Capita | Biodiversity - naturalness |
Evolution of Political Participation, 1919-2000
Evolution of Polity2 Index, 1800-2000
Evolution of Polyarchy, 1919-2000
Evolution of Cattle per Capita, 1500-2010
Evolution of Cropland per Capita, 1500-2010
Click on the AFG badge next to an indicator below to download the corresponding indicator only for Afghanistan. The badge is only shown when data for Afghanistan are available. You can also download all available indicators for Afghanistan by clicking here
Clicking on the indicator's title takes you to the indicator's page as usual.
Cattle per CapitaAFG 1500 [43] 2010
Cropland per CapitaAFG 1500 [34] 2010
Goats per CapitaAFG 1500 [43] 2010
Pasture per CapitaAFG 1500 [34] 2010
Sheep per CapitaAFG 1500 [43] 2010
Total CattleAFG 1500 [43] 2010
Total CroplandAFG 1500 [34] 2010
Total Number of GoatsAFG 1500 [43] 2010
Total Number of SheepAFG 1500 [43] 2010
Total PastureAFG 1500 [34] 2010
DemographyComposite Measure
of WellbeingAFG 1820 [19] 2000
Female life Expectancy at BirthAFG 1960 [5] 2000
Life Expectancy at Birth (Total)AFG 1950 [60] 2009
Male life Expectancy at BirthAFG 1960 [5] 2000
Total PopulationAFG 1500 [18] 2000
Total Urban PopulationAFG 1500 [11] 2000
Urbanization RatioAFG 1500 [7] 2000
EnvironmentBiodiversity - naturalnessAFG 1500 [34] 2010
CO2 Emissions per CapitaAFG 1950 [7] 2010
Total CO2 EmissionsAFG 1949 [60] 2008
FinanceExchange Rates to UK PoundAFG 1955 [59] 2013
Exchange Rates to US DollarAFG 1955 [59] 2013
Gender Equality of NumeracyAFG 1900 [6] 1950
Gender Equality Years
of Education
Historical Gender Equality IndexAFG 1950 [54] 2003
Human CapitalAverage Years of EducationAFG 1950 [7] 2010
Educational Inequality Gini
CoefficientAFG 1950 [61] 2010
Numeracy (Total)AFG 1900 [6] 1950
InstitutionsArmed Conflicts (Internal)AFG 1500 [501] 2000
Armed Conflicts (International)AFG 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)AFG 1800 [213] 2012
Competitiveness of Participations
(PARCOMP)AFG 1800 [213] 2012
Executive Constraints
(XCONST)AFG 1800 [213] 2012
Homicide RatesAFG 2004 [2] 2008
Latent Democracy VariableAFG 1919 [67] 2000
Openness of Executive
Recruitment (XROPEN)AFG 1800 [213] 2012
Political CompetitionAFG 1919 [82] 2000
Political ParticipationAFG 1919 [82] 2000
Polity2 IndexAFG 1800 [191] 2000
Regulation of Chief Executive
Recruitment (XRREG)AFG 1800 [213] 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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