Evolution of Total Population , 1800-2000
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 Copper Production, 1728-2012
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 19 | Total Pasture | Composite Measure of Wellbeing |
Goats per Capita | Composite Measure of Wellbeing |
1870-1919 20 | Total Pasture | Composite Measure of Wellbeing |
Goats per Capita | Cropland per Capita |
1920-1959 26 | Total Population | Composite Measure of Wellbeing |
Sheep per Capita | Composite Measure of Wellbeing |
1960-2010 44 | Iron Ore Production | Total CO2 Emissions | Goats per Capita Sheep per Capita |
Composite Measure of Wellbeing |
Overall 47 | Total Pasture | Sheep per Capita | Goats per Capita | Cropland per Capita |
Evolution of Gold Production, 1681-2012
Evolution of Iron Ore Production, 1820-2012
Evolution of Armed conflicts (Internal), 1500-2000
Evolution of Armed Conflicts (International), 1500-2000
Evolution of Composite Measure of Wellbeing, 1820-2000
Click on the MRT badge next to an indicator below to download the corresponding indicator only for Mauritania. The badge is only shown when data for Mauritania are available. You can also download all available indicators for Mauritania by clicking here
Clicking on the indicator's title takes you to the indicator's page as usual.
Cattle per CapitaMRT 1500 [43] 2010
Cropland per CapitaMRT 1500 [34] 2010
Goats per CapitaMRT 1500 [43] 2010
Pasture per CapitaMRT 1500 [34] 2010
Sheep per CapitaMRT 1500 [43] 2010
Total CattleMRT 1500 [43] 2010
Total CroplandMRT 1500 [34] 2010
Total Number of GoatsMRT 1500 [43] 2010
Total Number of SheepMRT 1500 [43] 2010
Total PastureMRT 1500 [34] 2010
DemographyComposite Measure
of WellbeingMRT 1820 [19] 2000
Female life Expectancy at BirthMRT 1960 [5] 2000
Infant MortalityMRT 1990 [2] 2000
Life Expectancy at Birth (Total)MRT 1950 [60] 2009
Male life Expectancy at BirthMRT 1960 [5] 2000
Total PopulationMRT 1800 [18] 2000
Total Urban PopulationMRT 1900 [3] 2000
Urbanization RatioMRT 1900 [3] 2000
EnvironmentBiodiversity - naturalnessMRT 1500 [34] 2010
CO2 Emissions per CapitaMRT 1960 [6] 2010
Total CO2 EmissionsMRT 1959 [50] 2008
FinanceExchange Rates to UK PoundMRT 1952 [62] 2013
Exchange Rates to US DollarMRT 1952 [61] 2013
Gender Equality Years
of Education
Historical Gender Equality IndexMRT 1950 [54] 2003
Human CapitalAverage Years of EducationMRT 1950 [7] 2010
Educational Inequality Gini
CoefficientMRT 1950 [61] 2010
Armed Conflicts (Internal)MRT 1500 [501] 2000
Armed Conflicts (International)MRT 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)MRT 1960 [53] 2012
Competitiveness of Participations
(PARCOMP)MRT 1960 [53] 2012
Executive Constraints
(XCONST)MRT 1960 [53] 2012
Homicide RatesMRT 2004 [2] 2008
Openness of Executive
Recruitment (XROPEN)MRT 1960 [53] 2012
Political CompetitionMRT 1960 [41] 2000
Political ParticipationMRT 1960 [41] 2000
Polity2 IndexMRT 1960 [53] 2012
Regulation of Chief Executive
Recruitment (XRREG)MRT 1960 [53] 2012
Number of Days Lost in
Labour Disputes
Number of Workers Involved
in Labour Disputes
GDP per CapitaMRT 1950 [67] 2016
Prices and Wages ProductionCopper ProductionMRT 1728 [285] 2012
Gold ProductionMRT 1681 [332] 2012
Iron Ore ProductionMRT 1820 [193] 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.
© 2010-2024 - Clio Infra