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 25 | Total Cattle | Global Hunger | Pasture per Capita | Cattle per Capita |
1870-1919 25 | Total Cattle | Total SO2 Emissions | SO2 Emissions per Capita |
Composite Measure of Wellbeing |
1920-1959 36 | Total Cattle | Total SO2 Emissions | Total SO2 Emissions | Cattle per Capita Composite Measure of Wellbeing |
1960-2010 57 | Manganese Production | Total SO2 Emissions | Manganese Production | Cattle per Capita |
Overall 59 | Total Cattle | Sheep per Capita | Pasture 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 Tungsten Production, 1860-2012
Click on the GAB badge next to an indicator below to download the corresponding indicator only for Gabon. The badge is only shown when data for Gabon are available. You can also download all available indicators for Gabon by clicking here
Clicking on the indicator's title takes you to the indicator's page as usual.
Cattle per CapitaGAB 1500 [43] 2010
Cropland per CapitaGAB 1500 [34] 2010
Goats per CapitaGAB 1500 [43] 2010
Pasture per CapitaGAB 1500 [34] 2010
Pigs per CapitaGAB 1500 [43] 2010
Sheep per CapitaGAB 1500 [43] 2010
Total CattleGAB 1500 [43] 2010
Total CroplandGAB 1500 [34] 2010
Total Number of GoatsGAB 1500 [43] 2010
Total Number of PigsGAB 1500 [43] 2010
Total Number of SheepGAB 1500 [43] 2010
Total PastureGAB 1500 [34] 2010
DemographyComposite Measure
of WellbeingGAB 1820 [19] 2000
Female life Expectancy at BirthGAB 1960 [5] 2000
Global Extreme Poverty (CBN)GAB 1820 [199] 2018
Global Extreme Poverty (DAD)GAB 1820 [199] 2018
Global HungerGAB 1820 [199] 2018
Infant MortalityGAB 1960 [4] 2000
Life Expectancy at Birth (Total)GAB 1950 [60] 2009
Male life Expectancy at BirthGAB 1960 [5] 2000
Total PopulationGAB 1800 [18] 2000
Total Urban PopulationGAB 1800 [5] 2000
Urbanization RatioGAB 1800 [5] 2000
EnvironmentBiodiversity - naturalnessGAB 1500 [34] 2010
CO2 Emissions per CapitaGAB 1960 [6] 2010
SO2 Emissions per CapitaGAB 1850 [16] 2000
Total CO2 EmissionsGAB 1959 [50] 2008
Total SO2 EmissionsGAB 1850 [16] 2000
FinanceExchange Rates to UK PoundGAB 1952 [62] 2013
Exchange Rates to US DollarGAB 1952 [62] 2013
Gender Equality Years
of Education
Historical Gender Equality Index
Human CapitalAverage Years of EducationGAB 1960 [6] 2010
Educational Inequality Gini
CoefficientGAB 1955 [56] 2010
Numeracy (Total)GAB 1950 [3] 1970
InstitutionsArmed Conflicts (Internal)GAB 1500 [501] 2000
Armed Conflicts (International)GAB 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)GAB 1960 [53] 2012
Competitiveness of Participations
(PARCOMP)GAB 1960 [53] 2012
Executive Constraints
(XCONST)GAB 1960 [53] 2012
Homicide RatesGAB 2004 [2] 2008
Openness of Executive
Recruitment (XROPEN)GAB 1960 [53] 2012
Political CompetitionGAB 1960 [41] 2000
Political ParticipationGAB 1960 [41] 2000
Polity2 IndexGAB 1960 [53] 2012
Regulation of Chief Executive
Recruitment (XRREG)GAB 1960 [53] 2012
Number of Days Lost in
Labour DisputesGAB 1957 [12] 2000
Number of Labour DisputesGAB 1957 [12] 2000
Number of Workers Involved
in Labour DisputesGAB 1957 [12] 2000
GDP per CapitaGAB 1950 [67] 2016
Prices and WagesIncome InequalityGAB 1910 [6] 1980
Labourers Real WageGAB 1964 [14] 1992
ProductionGold ProductionGAB 1681 [332] 2012
Manganese ProductionGAB 1835 [178] 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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