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 Cattle per Capita, 1500-2010
Evolution of Cropland 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 Num. of Goats | Global Hunger | Total Population | Pigs per Capita |
1870-1919 23 | Total Num. of Goats | Sheep per Capita | Total Population | Pigs per Capita |
1920-1959 32 | Total Num. of Goats | Sheep per Capita | Goats per Capita | Pigs per Capita |
1960-2010 52 | Total Num. of Pigs | Number of Workers Involved in Labour Disputes |
CO2 Emissions per Capita |
Composite Measure of Wellbeing |
Overall 58 | Total Num. of Pigs | Sheep per Capita | Total Num. of Goats | Cropland per Capita Pigs per Capita |
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
Evolution of Tungsten Production, 1860-2012
Click on the BDI badge next to an indicator below to download the corresponding indicator only for Burundi. The badge is only shown when data for Burundi are available. You can also download all available indicators for Burundi by clicking here
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Cattle per CapitaBDI 1500 [43] 2010
Cropland per CapitaBDI 1500 [34] 2010
Goats per CapitaBDI 1500 [43] 2010
Pasture per CapitaBDI 1500 [34] 2010
Pigs per CapitaBDI 1500 [43] 2010
Sheep per CapitaBDI 1500 [43] 2010
Total CattleBDI 1500 [43] 2010
Total CroplandBDI 1500 [34] 2010
Total Number of GoatsBDI 1500 [43] 2010
Total Number of PigsBDI 1500 [43] 2010
Total Number of SheepBDI 1500 [43] 2010
Total PastureBDI 1500 [34] 2010
DemographyComposite Measure
of WellbeingBDI 1820 [19] 2000
Female life Expectancy at BirthBDI 1960 [5] 2000
Global Extreme Poverty (CBN)BDI 1820 [199] 2018
Global Extreme Poverty (DAD)BDI 1820 [199] 2018
Global HungerBDI 1820 [199] 2018
Life Expectancy at Birth (Total)BDI 1950 [60] 2009
Male life Expectancy at BirthBDI 1960 [5] 2000
Total PopulationBDI 1800 [18] 2000
Total Urban PopulationBDI 1850 [4] 2000
Urbanization RatioBDI 1850 [4] 2000
EnvironmentBiodiversity - naturalnessBDI 1500 [34] 2010
CO2 Emissions per CapitaBDI 1950 [7] 2010
Total CO2 EmissionsBDI 1962 [47] 2008
FinanceExchange Rates to UK PoundBDI 1952 [62] 2013
Exchange Rates to US DollarBDI 1952 [62] 2013
Long-Term Government
Bond Yield
Total Gross Central Government
Debt as a Percentage of GDPBDI 1991 [9] 1999
Gender Equality of NumeracyBDI 1910 [6] 1960
Gender Equality Years
of Education
Historical Gender Equality IndexBDI 1950 [54] 2003
Human CapitalAverage Years of EducationBDI 1960 [6] 2010
Educational Inequality Gini
CoefficientBDI 1955 [56] 2010
Numeracy (Total)BDI 1910 [6] 1960
InstitutionsArmed Conflicts (Internal)BDI 1500 [501] 2000
Armed Conflicts (International)BDI 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)BDI 1962 [51] 2012
Competitiveness of Participations
(PARCOMP)BDI 1962 [51] 2012
Executive Constraints
(XCONST)BDI 1962 [51] 2012
Homicide RatesBDI 2004 [2] 2008
Openness of Executive
Recruitment (XROPEN)BDI 1962 [51] 2012
Political CompetitionBDI 1961 [40] 2000
Political ParticipationBDI 1961 [40] 2000
Polity2 IndexBDI 1962 [51] 2012
Regulation of Chief Executive
Recruitment (XRREG)BDI 1962 [51] 2012
Number of Days Lost in
Labour DisputesBDI 1967 [24] 2001
Number of Labour DisputesBDI 1966 [29] 2001
Number of Workers Involved
in Labour DisputesBDI 1966 [29] 2001
GDP per CapitaBDI 1950 [67] 2016
Prices and WagesIncome InequalityBDI 1910 [3] 1990
Labourers Real WageBDI 1968 [16] 1989
ProductionGold ProductionBDI 1681 [332] 2012
Tin ProductionBDI 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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