Evolution of Total Population , 1800-2000
Evolution of Global Extreme Poverty Cost of Basic Needs, 1820-2018
Evolution of Height, 1810-1980
Evolution of Global Hunger, 1820-2018
Evolution of Global Extreme Poverty Dollar a Day, 1820-2018
Evolution of Total Urban Population, 1500-2000
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 24 | Total Population | Global Hunger | Total Num. of Goats | Composite Measure of Wellbeing |
1870-1919 26 | Total Population | Sheep per Capita | Height | Pigs per Capita |
1920-1959 37 | Total Pasture | Gender Equality of Numeracy |
Height | Pigs per Capita |
1960-2010 54 | Gold Production | Total CO2 Emissions | CO2 Emissions per Capita |
Composite Measure of Wellbeing |
Overall 58 | Total Num. of Pigs | Sheep per Capita | Total Num. of Goats | Pigs per Capita |
Evolution of Cattle per Capita, 1500-2010
Evolution of Cropland per Capita, 1500-2010
Evolution of Goats per Capita, 1500-2010
Evolution of Biodiversity - naturalness, 1500-2010
Evolution of Gold Production, 1681-2012
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Clicking on the indicator's title takes you to the indicator's page as usual.
Cattle per CapitaBFA 1500 [43] 2010
Cropland per CapitaBFA 1500 [34] 2010
Goats per CapitaBFA 1500 [43] 2010
Pasture per CapitaBFA 1500 [34] 2010
Pigs per CapitaBFA 1500 [43] 2010
Sheep per CapitaBFA 1500 [43] 2010
Total CattleBFA 1500 [43] 2010
Total CroplandBFA 1500 [34] 2010
Total Number of GoatsBFA 1500 [43] 2010
Total Number of PigsBFA 1500 [43] 2010
Total Number of SheepBFA 1500 [43] 2010
Total PastureBFA 1500 [34] 2010
DemographyComposite Measure
of WellbeingBFA 1820 [19] 2000
Female life Expectancy at BirthBFA 1960 [5] 2000
Global Extreme Poverty (CBN)BFA 1820 [199] 2018
Global Extreme Poverty (DAD)BFA 1820 [199] 2018
Global HungerBFA 1820 [199] 2018
Infant MortalityBFA 1960 [5] 2000
Life Expectancy at Birth (Total)BFA 1950 [60] 2009
Male life Expectancy at BirthBFA 1960 [5] 2000
Total PopulationBFA 1800 [18] 2000
Total Urban PopulationBFA 1500 [11] 2000
Urbanization RatioBFA 1800 [5] 2000
EnvironmentBiodiversity - naturalnessBFA 1500 [34] 2010
CO2 Emissions per CapitaBFA 1960 [6] 2010
Total CO2 EmissionsBFA 1958 [51] 2008
FinanceExchange Rates to UK PoundBFA 1952 [62] 2013
Exchange Rates to US DollarBFA 1952 [62] 2013
Gender Equality of NumeracyBFA 1900 [6] 1950
Gender Equality Years
of Education
Historical Gender Equality Index
Human CapitalAverage Years of EducationBFA 1960 [6] 2010
Educational Inequality Gini
CoefficientBFA 1955 [56] 2010
Numeracy (Total)BFA 1900 [6] 1950
InstitutionsArmed Conflicts (Internal)BFA 1500 [501] 2000
Armed Conflicts (International)BFA 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)BFA 1960 [53] 2012
Competitiveness of Participations
(PARCOMP)BFA 1960 [53] 2012
Executive Constraints
(XCONST)BFA 1960 [53] 2012
Homicide RatesBFA 2004 [2] 2008
Openness of Executive
Recruitment (XROPEN)BFA 1960 [53] 2012
Political CompetitionBFA 1960 [40] 1999
Political ParticipationBFA 1960 [40] 1999
Polity2 IndexBFA 1960 [53] 2012
Regulation of Chief Executive
Recruitment (XRREG)BFA 1960 [53] 2012
Number of Days Lost in
Labour DisputesBFA 1957 [20] 1991
Number of Labour DisputesBFA 1957 [23] 1991
Number of Workers Involved
in Labour DisputesBFA 1957 [21] 1991
GDP per CapitaBFA 1950 [67] 2016
Prices and WagesIncome InequalityBFA 1910 [6] 1980
Labourers Real WageBFA 1964 [17] 2000
ProductionGold ProductionBFA 1681 [332] 2012
Silver ProductionBFA 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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