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, 1925-2010
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 22 | Total Population | Composite Measure of Wellbeing |
Cropland per Capita | Biodiversity - naturalness |
1870-1919 24 | Total Population | Total SO2 Emissions | Gender Equality of Numeracy |
Composite Measure of Wellbeing |
1920-1959 33 | Average Years of Education |
Total SO2 Emissions | Cropland per Capita SO2 Emissions per Capita Total SO2 Emissions |
Composite Measure of Wellbeing |
1960-2010 53 | Average Years of Education |
Total CO2 Emissions | Total SO2 Emissions | Composite Measure of Wellbeing |
Overall 58 | Total Num. of Goats | Sheep per Capita | Cropland per Capita | Biodiversity - naturalness |
Evolution of Cropland per Capita, 1500-2010
Evolution of Goats per Capita, 1500-2010
Evolution of Biodiversity - naturalness, 1500-2010
Evolution of SO2 Emissions per Capita, 1850-2000
Evolution of Total SO2 Emissions, 1850-2000
Click on the TGO badge next to an indicator below to download the corresponding indicator only for Togo. The badge is only shown when data for Togo are available. You can also download all available indicators for Togo by clicking here
Clicking on the indicator's title takes you to the indicator's page as usual.
Cattle per CapitaTGO 1500 [43] 2010
Cropland per CapitaTGO 1500 [34] 2010
Goats per CapitaTGO 1500 [43] 2010
Pasture per CapitaTGO 1500 [34] 2010
Pigs per CapitaTGO 1500 [43] 2010
Sheep per CapitaTGO 1500 [43] 2010
Total CattleTGO 1500 [43] 2010
Total CroplandTGO 1500 [34] 2010
Total Number of GoatsTGO 1500 [43] 2010
Total Number of PigsTGO 1500 [43] 2010
Total Number of SheepTGO 1500 [43] 2010
Total PastureTGO 1500 [34] 2010
DemographyComposite Measure
of WellbeingTGO 1820 [19] 2000
Female life Expectancy at BirthTGO 1960 [5] 2000
Global Extreme Poverty (CBN)TGO 1820 [199] 2018
Global Extreme Poverty (DAD)TGO 1820 [199] 2018
Global HungerTGO 1820 [199] 2018
Infant MortalityTGO 1950 [5] 1990
Life Expectancy at Birth (Total)TGO 1950 [60] 2009
Male life Expectancy at BirthTGO 1960 [5] 2000
Total PopulationTGO 1800 [18] 2000
Total Urban PopulationTGO 1600 [9] 2000
Urbanization RatioTGO 1800 [5] 2000
EnvironmentBiodiversity - naturalnessTGO 1500 [34] 2010
CO2 Emissions per CapitaTGO 1950 [7] 2010
SO2 Emissions per CapitaTGO 1850 [16] 2000
Total CO2 EmissionsTGO 1950 [59] 2008
Total SO2 EmissionsTGO 1850 [16] 2000
FinanceExchange Rates to UK PoundTGO 1952 [62] 2013
Exchange Rates to US DollarTGO 1952 [62] 2013
Gender Equality of NumeracyTGO 1880 [7] 1940
Gender Equality Years
of Education
Historical Gender Equality IndexTGO 1950 [54] 2003
Human CapitalAverage Years of EducationTGO 1930 [9] 2010
Educational Inequality Gini
CoefficientTGO 1925 [86] 2010
Numeracy (Total)TGO 1880 [7] 1940
InstitutionsArmed Conflicts (Internal)TGO 1500 [501] 2000
Armed Conflicts (International)TGO 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)TGO 1960 [53] 2012
Competitiveness of Participations
(PARCOMP)TGO 1960 [53] 2012
Executive Constraints
(XCONST)TGO 1960 [53] 2012
Homicide RatesTGO 2004 [2] 2008
Openness of Executive
Recruitment (XROPEN)TGO 1960 [53] 2012
Political CompetitionTGO 1960 [41] 2000
Political ParticipationTGO 1960 [41] 2000
Polity2 IndexTGO 1960 [53] 2012
Regulation of Chief Executive
Recruitment (XRREG)TGO 1960 [53] 2012
Number of Days Lost in
Labour DisputesTGO 1959 [3] 1961
Number of Labour DisputesTGO 1959 [9] 1983
Number of Workers Involved
in Labour DisputesTGO 1959 [3] 1961
GDP per CapitaTGO 1950 [67] 2016
Prices and WagesIncome InequalityTGO 1910 [2] 1929
Labourers Real WageTGO 1964 [13] 1995
ProductionAnguilla[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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