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 Labourers Real Wage, 1850-1984
Evolution of Global Extreme Poverty Dollar a Day, 1820-2018
Evolution of Educational Inequality Gini Coefficient, 1915-2010
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 21 | Total Pasture | Sheep per Capita | Biodiversity - naturalness |
Total Cropland |
1870-1919 24 | Total Pasture | Sheep per Capita | Biodiversity - naturalness |
Total Cropland |
1920-1959 31 | Total Pasture | Sheep per Capita | Goats per Capita | Composite Measure of Wellbeing |
1960-2010 46 | Total Num. of Pigs | Total CO2 Emissions | Total CO2 Emissions | Composite Measure of Wellbeing |
Overall 50 | Total Num. of Pigs | Sheep per Capita | Goats per Capita | Total Num. of Sheep |
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 Armed conflicts (Internal), 1500-2000
Click on the GMB badge next to an indicator below to download the corresponding indicator only for The Gambia. The badge is only shown when data for The Gambia are available. You can also download all available indicators for The Gambia by clicking here
Clicking on the indicator's title takes you to the indicator's page as usual.
Cattle per CapitaGMB 1500 [43] 2010
Cropland per CapitaGMB 1500 [34] 2010
Goats per CapitaGMB 1500 [43] 2010
Pasture per CapitaGMB 1500 [34] 2010
Pigs per CapitaGMB 1500 [43] 2010
Sheep per CapitaGMB 1500 [43] 2010
Total CattleGMB 1500 [43] 2010
Total CroplandGMB 1500 [34] 2010
Total Number of GoatsGMB 1500 [43] 2010
Total Number of PigsGMB 1500 [43] 2010
Total Number of SheepGMB 1500 [43] 2010
Total PastureGMB 1500 [34] 2010
DemographyComposite Measure
of WellbeingGMB 1820 [19] 2000
Female life Expectancy at BirthGMB 1960 [5] 2000
Global Extreme Poverty (CBN)GMB 1820 [199] 2018
Global Extreme Poverty (DAD)GMB 1820 [199] 2018
Global HungerGMB 1820 [199] 2018
Life Expectancy at Birth (Total)GMB 1950 [60] 2009
Male life Expectancy at BirthGMB 1960 [5] 2000
Total PopulationGMB 1800 [18] 2000
Total Urban PopulationGMB 1650 [8] 2000
Urbanization RatioGMB 1800 [5] 2000
EnvironmentBiodiversity - naturalnessGMB 1500 [34] 2010
CO2 Emissions per CapitaGMB 1950 [7] 2010
Total CO2 EmissionsGMB 1950 [59] 2008
FinanceExchange Rates to UK PoundGMB 1952 [62] 2013
Exchange Rates to US DollarGMB 1952 [62] 2013
Gender Equality of NumeracyGMB 1890 [6] 1940
Gender Equality Years
of Education
Historical Gender Equality IndexGMB 1950 [54] 2003
Human CapitalAverage Years of EducationGMB 1920 [10] 2010
Educational Inequality Gini
CoefficientGMB 1915 [96] 2010
Numeracy (Total)GMB 1890 [6] 1940
InstitutionsArmed Conflicts (Internal)GMB 1500 [501] 2000
Armed Conflicts (International)GMB 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)GMB 1965 [48] 2012
Competitiveness of Participations
(PARCOMP)GMB 1965 [48] 2012
Executive Constraints
(XCONST)GMB 1965 [48] 2012
Homicide RatesGMB 1910 [3] 2008
Openness of Executive
Recruitment (XROPEN)GMB 1965 [48] 2012
Political CompetitionGMB 1965 [36] 2000
Political ParticipationGMB 1965 [36] 2000
Polity2 IndexGMB 1965 [48] 2012
Regulation of Chief Executive
Recruitment (XRREG)GMB 1965 [48] 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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