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 Total Urban Population, 1500-2000
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 23 | Total Population | Global Hunger | Goats per Capita | Cropland per Capita |
1870-1919 25 | Height Gini | Composite Measure of Wellbeing |
Goats per Capita | Cropland per Capita |
1920-1959 32 | Total Population | Sheep per Capita | Height | Cropland per Capita |
1960-2010 53 | Total Num. of Pigs | Total CO2 Emissions | CO2 Emissions per Capita |
Composite Measure of Wellbeing |
Overall 55 | Total Num. of Pigs | Sheep per Capita | Goats per Capita | Cropland per Capita |
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
Evolution of Tin Production, 1700-2012
Click on the RWA badge next to an indicator below to download the corresponding indicator only for Rwanda. The badge is only shown when data for Rwanda are available. You can also download all available indicators for Rwanda by clicking here
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Cattle per CapitaRWA 1500 [43] 2010
Cropland per CapitaRWA 1500 [34] 2010
Goats per CapitaRWA 1500 [43] 2010
Pasture per CapitaRWA 1500 [34] 2010
Pigs per CapitaRWA 1500 [43] 2010
Sheep per CapitaRWA 1500 [43] 2010
Total CattleRWA 1500 [43] 2010
Total CroplandRWA 1500 [34] 2010
Total Number of GoatsRWA 1500 [43] 2010
Total Number of PigsRWA 1500 [43] 2010
Total Number of SheepRWA 1500 [43] 2010
Total PastureRWA 1500 [34] 2010
DemographyComposite Measure
of WellbeingRWA 1820 [19] 2000
Female life Expectancy at BirthRWA 1960 [5] 2000
Global Extreme Poverty (CBN)RWA 1820 [199] 2018
Global Extreme Poverty (DAD)RWA 1820 [199] 2018
Global HungerRWA 1820 [199] 2018
Infant MortalityRWA 1960 [5] 2000
Life Expectancy at Birth (Total)RWA 1950 [60] 2009
Male life Expectancy at BirthRWA 1960 [5] 2000
Total PopulationRWA 1800 [18] 2000
Total Urban PopulationRWA 1500 [11] 2000
Urbanization RatioRWA 1800 [5] 2000
EnvironmentBiodiversity - naturalnessRWA 1500 [34] 2010
CO2 Emissions per CapitaRWA 1950 [7] 2010
Total CO2 EmissionsRWA 1962 [47] 2008
FinanceExchange Rates to UK PoundRWA 1952 [62] 2013
Exchange Rates to US DollarRWA 1952 [62] 2013
Gender Equality Years
of Education
Historical Gender Equality IndexRWA 1950 [54] 2003
Human CapitalAverage Years of EducationRWA 1950 [7] 2010
Educational Inequality Gini
CoefficientRWA 1950 [61] 2010
Armed Conflicts (Internal)RWA 1500 [501] 2000
Armed Conflicts (International)RWA 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)RWA 1961 [52] 2012
Competitiveness of Participations
(PARCOMP)RWA 1961 [52] 2012
Executive Constraints
(XCONST)RWA 1961 [52] 2012
Openness of Executive
Recruitment (XROPEN)RWA 1961 [52] 2012
Political CompetitionRWA 1962 [39] 2000
Political ParticipationRWA 1962 [39] 2000
Polity2 IndexRWA 1961 [52] 2012
Regulation of Chief Executive
Recruitment (XRREG)RWA 1961 [52] 2012
Number of Days Lost in
Labour Disputes
Number of Labour DisputesRWA 1998 [2] 1999
Number of Workers Involved
in Labour DisputesRWA 1998 [2] 1999
GDP per CapitaRWA 1950 [67] 2016
Prices and WagesIncome InequalityRWA 1870 [7] 1980
Labourers Real WageRWA 1964 [10] 1991
ProductionGold ProductionRWA 1681 [332] 2012
Tin ProductionRWA 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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