Evolution of GDP per Capita , 1887-2016
Evolution of Total Population, 1800-2000
Evolution of Height, 1810-1980
Evolution of Average Years of Education, 1870-2010
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 24 | Pasture per Capita | Composite Measure of Wellbeing |
Biodiversity - naturalness |
Total Cattle |
1870-1919 26 | Total Pasture | Sheep per Capita | Biodiversity - naturalness |
Composite Measure of Wellbeing |
1920-1959 40 | Total Num. of Goats | Sheep per Capita | SO2 Emissions per Capita |
Composite Measure of Wellbeing |
1960-2010 57 | Average Years of Education |
Competitiveness of Participations (PARCOMP) |
SO2 Emissions per Capita |
Composite Measure of Wellbeing |
Overall 61 | Total Pasture | Sheep per Capita | Cropland per Capita | Cattle per Capita |
Evolution of Goats per Capita, 1500-2010
Evolution of Biodiversity - naturalness, 1500-2010
Evolution of Gold Production, 1681-2012
Evolution of Manganese Production, 1835-2012
Evolution of Silver Production, 1681-2012
Click on the CIV badge next to an indicator below to download the corresponding indicator only for Cote d'Ivoire. The badge is only shown when data for Cote d'Ivoire are available. You can also download all available indicators for Cote d'Ivoire by clicking here
Clicking on the indicator's title takes you to the indicator's page as usual.
Cattle per CapitaCIV 1500 [43] 2010
Cropland per CapitaCIV 1500 [34] 2010
Goats per CapitaCIV 1500 [43] 2010
Pasture per CapitaCIV 1500 [34] 2010
Pigs per CapitaCIV 1500 [43] 2010
Sheep per CapitaCIV 1500 [43] 2010
Total CattleCIV 1500 [43] 2010
Total CroplandCIV 1500 [34] 2010
Total Number of GoatsCIV 1500 [43] 2010
Total Number of PigsCIV 1500 [43] 2010
Total Number of SheepCIV 1500 [43] 2010
Total PastureCIV 1500 [34] 2010
DemographyComposite Measure
of WellbeingCIV 1820 [19] 2000
Female life Expectancy at BirthCIV 1960 [5] 2000
Infant MortalityCIV 1960 [4] 1990
Life Expectancy at Birth (Total)CIV 1950 [60] 2009
Male life Expectancy at BirthCIV 1960 [5] 2000
Total PopulationCIV 1800 [18] 2000
Total Urban PopulationCIV 1900 [3] 2000
Urbanization RatioCIV 1900 [3] 2000
EnvironmentBiodiversity - naturalnessCIV 1500 [34] 2010
CO2 Emissions per CapitaCIV 1960 [6] 2010
SO2 Emissions per CapitaCIV 1850 [16] 2000
Total CO2 EmissionsCIV 1958 [51] 2008
Total SO2 EmissionsCIV 1850 [16] 2000
FinanceExchange Rates to UK PoundCIV 1952 [62] 2013
Exchange Rates to US DollarCIV 1952 [62] 2013
Gold StandardCIV 1800 [211] 2010
Long-Term Government
Bond Yield
Total Gross Central Government
Debt as a Percentage of GDPCIV 1970 [39] 2008
Gender Equality of NumeracyCIV 1910 [6] 1960
Gender Equality Years
of Education
Historical Gender Equality IndexCIV 1950 [54] 2003
Human CapitalAverage Years of EducationCIV 1870 [15] 2010
Educational Inequality Gini
CoefficientCIV 1930 [81] 2010
Numeracy (Total)CIV 1910 [6] 1960
InstitutionsArmed Conflicts (Internal)CIV 1500 [501] 2000
Armed Conflicts (International)CIV 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)CIV 1960 [53] 2012
Competitiveness of Participations
(PARCOMP)CIV 1960 [53] 2012
Executive Constraints
(XCONST)CIV 1960 [53] 2012
Homicide RatesCIV 2004 [2] 2008
Openness of Executive
Recruitment (XROPEN)CIV 1960 [53] 2012
Political CompetitionCIV 1960 [41] 2000
Political ParticipationCIV 1960 [41] 2000
Polity2 IndexCIV 1960 [53] 2012
Regulation of Chief Executive
Recruitment (XRREG)CIV 1960 [53] 2012
Number of Days Lost in
Labour DisputesCIV 1957 [12] 1979
Number of Labour DisputesCIV 1957 [12] 1979
Number of Workers Involved
in Labour DisputesCIV 1957 [12] 1979
GDP per CapitaCIV 1887 [69] 2016
Prices and WagesIncome InequalityCIV 1950 [4] 1990
Labourers Real WageCIV 1964 [17] 1997
ProductionGold ProductionCIV 1681 [332] 2012
Manganese ProductionCIV 1835 [178] 2012
Silver ProductionCIV 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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