Evolution of Total Population , 1500-2000
Evolution of Life Expectancy at Birth (Total), 1927-2009
Evolution of Global Extreme Poverty Cost of Basic Needs, 1820-2018
Evolution of Global Hunger, 1820-2018
Evolution of Average Years of Education, 1870-2010
Evolution of Labourers Real Wage, 1906-1993
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 25 | Total Population | Composite Measure of Wellbeing |
Total Num. of Goats | Pigs per Capita |
1870-1919 31 | Average Years of Education |
Pasture per Capita | Total Num. of Goats | Composite Measure of Wellbeing |
1920-1959 41 | Average Years of Education |
Tin Production | Tin Production | Composite Measure of Wellbeing |
1960-2010 57 | Total Num. of Pigs | Total CO2 Emissions | CO2 Emissions per Capita |
Composite Measure of Wellbeing |
Overall 61 | Total Num. of Pigs | Sheep per Capita | Total Num. of Goats | Pigs per Capita |
Evolution of Global Extreme Poverty Dollar a Day, 1820-2018
Evolution of Educational Inequality Gini Coefficient, 1915-2010
Evolution of Total Urban Population, 1500-2000
Evolution of Cattle per Capita, 1500-2010
Evolution of Cropland per Capita, 1500-2010
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Cattle per CapitaUGA 1500 [43] 2010
Cropland per CapitaUGA 1500 [34] 2010
Goats per CapitaUGA 1500 [43] 2010
Pasture per CapitaUGA 1500 [34] 2010
Pigs per CapitaUGA 1500 [43] 2010
Sheep per CapitaUGA 1500 [43] 2010
Total CattleUGA 1500 [43] 2010
Total CroplandUGA 1500 [34] 2010
Total Number of GoatsUGA 1500 [43] 2010
Total Number of PigsUGA 1500 [43] 2010
Total Number of SheepUGA 1500 [43] 2010
Total PastureUGA 1500 [34] 2010
DemographyComposite Measure
of WellbeingUGA 1820 [19] 2000
Female life Expectancy at BirthUGA 1960 [5] 2000
Global Extreme Poverty (CBN)UGA 1820 [199] 2018
Global Extreme Poverty (DAD)UGA 1820 [199] 2018
Global HungerUGA 1820 [199] 2018
Infant MortalityUGA 1960 [5] 2000
Life Expectancy at Birth (Total)UGA 1927 [63] 2009
Male life Expectancy at BirthUGA 1960 [5] 2000
Total PopulationUGA 1500 [20] 2000
Total Urban PopulationUGA 1500 [11] 2000
Urbanization RatioUGA 1500 [7] 2000
EnvironmentBiodiversity - naturalnessUGA 1500 [34] 2010
CO2 Emissions per CapitaUGA 1950 [7] 2010
Total CO2 EmissionsUGA 1950 [59] 2008
FinanceExchange Rates to UK PoundUGA 1952 [62] 2013
Exchange Rates to US DollarUGA 1952 [62] 2013
Gender Equality of NumeracyUGA 1890 [7] 1960
Gender Equality Years
of Education
Historical Gender Equality IndexUGA 1950 [54] 2003
Human CapitalAverage Years of EducationUGA 1870 [15] 2010
Educational Inequality Gini
CoefficientUGA 1915 [96] 2010
Numeracy (Total)UGA 1890 [7] 1960
InstitutionsArmed Conflicts (Internal)UGA 1500 [501] 2000
Armed Conflicts (International)UGA 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)UGA 1962 [51] 2012
Competitiveness of Participations
(PARCOMP)UGA 1962 [51] 2012
Executive Constraints
(XCONST)UGA 1962 [51] 2012
Homicide RatesUGA 1960 [7] 2008
Openness of Executive
Recruitment (XROPEN)UGA 1962 [51] 2012
Political CompetitionUGA 1962 [39] 2000
Political ParticipationUGA 1962 [39] 2000
Polity2 IndexUGA 1962 [50] 2012
Regulation of Chief Executive
Recruitment (XRREG)UGA 1962 [51] 2012
Number of Days Lost in
Labour DisputesUGA 1953 [35] 2004
Number of Labour DisputesUGA 1953 [36] 2004
Number of Workers Involved
in Labour DisputesUGA 1953 [35] 2004
GDP per CapitaUGA 1950 [67] 2016
Prices and WagesIncome InequalityUGA 1910 [7] 1990
Labourers Real WageUGA 1906 [49] 1993
ProductionCopper ProductionUGA 1727 [286] 2012
Gold ProductionUGA 1681 [332] 2012
Iron Ore ProductionUGA 1820 [193] 2012
Tin ProductionUGA 1700 [313] 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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