Evolution of Total Population , 1800-2000
Evolution of Average Years of Education, 1880-2010
Evolution of Educational Inequality Gini Coefficient, 1885-2010
Evolution of Cattle per Capita, 1600-2010
Evolution of Cropland per Capita, 1500-2010
Evolution of Goats per Capita, 1600-2010
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 17 | Total Population | Composite Measure of Wellbeing |
Composite Measure of Wellbeing |
Cropland per Capita |
1870-1919 21 | Gender Equality of Numeracy |
Composite Measure of Wellbeing |
Average Years of Education |
Cropland per Capita |
1920-1959 30 | Total Population | Total CO2 Emissions | Educational Inequality Gini Coefficient |
Cropland per Capita |
1960-2010 38 | GDP per Capita | Total CO2 Emissions | Educational Inequality Gini Coefficient |
Pasture per Capita |
Overall 43 | N/A | N/A | Biodiversity - naturalness |
Cropland per Capita |
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Clicking on the indicator's title takes you to the indicator's page as usual.
Cattle per CapitaBRB 1600 [42] 2010
Cropland per CapitaBRB 1500 [34] 2010
Goats per CapitaBRB 1600 [42] 2010
Pasture per CapitaBRB 1600 [33] 2010
Pigs per CapitaBRB 1600 [42] 2010
Sheep per CapitaBRB 1600 [42] 2010
Total CattleBRB 1600 [42] 2010
Total CroplandBRB 1500 [34] 2010
Total Number of GoatsBRB 1600 [42] 2010
Total Number of PigsBRB 1600 [42] 2010
Total Number of SheepBRB 1600 [42] 2010
Total PastureBRB 1600 [33] 2010
DemographyComposite Measure
of WellbeingBRB 1820 [19] 2000
Female life Expectancy at BirthBRB 1960 [5] 2000
Life Expectancy at Birth (Total)BRB 1950 [60] 2009
Male life Expectancy at BirthBRB 1960 [5] 2000
Total PopulationBRB 1800 [18] 2000
Total Urban PopulationBRB 1600 [9] 2000
Urbanization RatioBRB 1800 [5] 2000
EnvironmentBiodiversity - naturalnessBRB 1500 [34] 2010
CO2 Emissions per CapitaBRB 1930 [8] 2010
Total CO2 EmissionsBRB 1928 [70] 2008
FinanceExchange Rates to UK PoundBRB 1952 [62] 2013
Exchange Rates to US DollarBRB 1952 [62] 2013
Long-Term Government
Bond Yield
Total Gross Central Government
Debt as a Percentage of GDPBRB 2007 [2] 2008
Gender Equality of NumeracyBRB 1860 [6] 1910
Gender Equality Years
of Education
Historical Gender Equality Index
Human CapitalAverage Years of EducationBRB 1880 [14] 2010
Educational Inequality Gini
CoefficientBRB 1885 [126] 2010
Numeracy (Total)BRB 1860 [6] 1910
InstitutionsArmed Conflicts (Internal)BRB 1500 [501] 2000
Armed Conflicts (International)BRB 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)
Competitiveness of Participations
(PARCOMP)
Executive Constraints
(XCONST)
Homicide RatesBRB 1955 [53] 2010
Openness of Executive
Recruitment (XROPEN)
Political CompetitionBRB 1966 [35] 2000
Political ParticipationBRB 1966 [35] 2000
Regulation of Chief Executive
Recruitment (XRREG)
Number of Days Lost in
Labour DisputesBRB 1954 [49] 2010
Number of Labour DisputesBRB 1953 [50] 2013
Number of Workers Involved
in Labour DisputesBRB 1953 [49] 2010
GDP per CapitaBRB 1950 [67] 2016
Prices and WagesIncome InequalityBRB 1950 [2] 1980
Labourers Real WageBRB 1953 [31] 1995
ProductionAnguilla[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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