Evolution of Total Population , 1800-2000
Evolution of Global Extreme Poverty Cost of Basic Needs, 1820-2018
Evolution of Global Hunger, 1820-2018
Evolution of Global Extreme Poverty Dollar a Day, 1820-2018
Evolution of Educational Inequality Gini Coefficient, 1915-2010
Evolution of Cattle 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 28 | Total Pasture | Global Hunger | Pasture per Capita | Composite Measure of Wellbeing |
1870-1919 31 | Total Cattle | Gender Equality of Numeracy |
SO2 Emissions per Capita |
Composite Measure of Wellbeing |
1920-1959 37 | Average Years of Education |
Gender Equality of Numeracy |
Gender Equality of Numeracy Pasture per Capita |
Composite Measure of Wellbeing |
1960-2010 58 | Gold Production | Total SO2 Emissions | Openness of Executive Recruitment (XROPEN) |
Pigs per Capita |
Overall 64 | Total Pasture | Sheep per Capita | Pasture per Capita | Pigs per Capita Total Num. of Pigs |
Evolution of Cropland per Capita, 1500-2010
Evolution of Goats per Capita, 1500-2010
Evolution of Biodiversity - naturalness, 1500-2010
Evolution of Copper Production, 1727-2012
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 CapitaBWA 1500 [43] 2010
Cropland per CapitaBWA 1500 [34] 2010
Goats per CapitaBWA 1500 [43] 2010
Pasture per CapitaBWA 1500 [34] 2010
Pigs per CapitaBWA 1500 [43] 2010
Sheep per CapitaBWA 1500 [43] 2010
Total CattleBWA 1500 [43] 2010
Total CroplandBWA 1500 [34] 2010
Total Number of GoatsBWA 1500 [43] 2010
Total Number of PigsBWA 1500 [43] 2010
Total Number of SheepBWA 1500 [43] 2010
Total PastureBWA 1500 [34] 2010
DemographyComposite Measure
of WellbeingBWA 1820 [19] 2000
Female life Expectancy at BirthBWA 1960 [5] 2000
Global Extreme Poverty (CBN)BWA 1820 [199] 2018
Global Extreme Poverty (DAD)BWA 1820 [199] 2018
Global HungerBWA 1820 [199] 2018
Infant MortalityBWA 1980 [2] 2000
Life Expectancy at Birth (Total)BWA 1950 [60] 2009
Male life Expectancy at BirthBWA 1960 [5] 2000
Total PopulationBWA 1800 [17] 2000
Total Urban PopulationBWA 1850 [4] 2000
Urbanization RatioBWA 1850 [4] 2000
EnvironmentBiodiversity - naturalnessBWA 1500 [34] 2010
CO2 Emissions per CapitaBWA 1980 [4] 2010
SO2 Emissions per CapitaBWA 1850 [16] 2000
Total CO2 EmissionsBWA 1972 [37] 2008
Total SO2 EmissionsBWA 1850 [16] 2000
FinanceExchange Rates to UK PoundBWA 1952 [62] 2013
Exchange Rates to US DollarBWA 1952 [62] 2013
Long-Term Government
Bond Yield
Total Gross Central Government
Debt as a Percentage of GDPBWA 1990 [7] 1996
Gender Equality of NumeracyBWA 1880 [9] 1960
Gender Equality Years
of Education
Historical Gender Equality IndexBWA 1950 [54] 2003
Human CapitalAverage Years of EducationBWA 1920 [10] 2010
Educational Inequality Gini
CoefficientBWA 1915 [96] 2010
Numeracy (Total)BWA 1880 [9] 1960
InstitutionsArmed Conflicts (Internal)BWA 1500 [501] 2000
Armed Conflicts (International)BWA 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)BWA 1966 [47] 2012
Competitiveness of Participations
(PARCOMP)BWA 1966 [47] 2012
Executive Constraints
(XCONST)BWA 1966 [47] 2012
Homicide RatesBWA 2004 [3] 2009
Openness of Executive
Recruitment (XROPEN)BWA 1966 [47] 2012
Political CompetitionBWA 1966 [35] 2000
Political ParticipationBWA 1966 [35] 2000
Polity2 IndexBWA 1966 [47] 2012
Regulation of Chief Executive
Recruitment (XRREG)BWA 1966 [47] 2012
Number of Days Lost in
Labour DisputesBWA 1995 [7] 2008
Number of Labour DisputesBWA 1994 [14] 2008
Number of Workers Involved
in Labour DisputesBWA 1994 [14] 2008
GDP per CapitaBWA 1950 [67] 2016
Prices and WagesIncome InequalityBWA 1910 [3] 1990
Labourers Real WageBWA 1975 [3] 1978
ProductionCopper ProductionBWA 1727 [286] 2012
Gold ProductionBWA 1681 [332] 2012
Manganese ProductionBWA 1835 [178] 2012
Nickel ProductionBWA 1850 [163] 2012
Silver ProductionBWA 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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