Evolution of GDP per Capita , 1870-2016
Evolution of Total Population, 1800-2000
Evolution of Average Years of Education, 1870-2010
Evolution of Labourers Real Wage, 1915-2007
Evolution of Educational Inequality Gini Coefficient, 1875-2010
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 17 | Total Cattle | Biodiversity - naturalness |
Pigs per Capita | Cattle per Capita Total Cattle |
1870-1919 21 | Total Cattle | Total SO2 Emissions | Pigs per Capita | Biodiversity - naturalness |
1920-1959 33 | Total Cattle | Gender Equality of Numeracy |
SO2 Emissions per Capita |
Biodiversity - naturalness |
1960-2010 51 | GDP per Capita | Total SO2 Emissions | Inflation | Cropland per Capita |
Overall 55 | N/A | N/A | Pigs 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 SGP badge next to an indicator below to download the corresponding indicator only for Singapore. The badge is only shown when data for Singapore are available. You can also download all available indicators for Singapore by clicking here
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Cattle per CapitaSGP 1500 [43] 2010
Cropland per CapitaSGP 1500 [34] 2010
Goats per CapitaSGP 1500 [43] 2010
Pigs per CapitaSGP 1500 [43] 2010
Total CattleSGP 1500 [43] 2010
Total CroplandSGP 1500 [34] 2010
Total Number of GoatsSGP 1500 [43] 2010
Total Number of PigsSGP 1500 [43] 2010
DemographyComposite Measure
of WellbeingSGP 1820 [19] 2000
Female life Expectancy at BirthSGP 1960 [5] 2000
Infant MortalitySGP 1900 [5] 1990
Life Expectancy at Birth (Total)SGP 1950 [60] 2009
Male life Expectancy at BirthSGP 1960 [5] 2000
Total PopulationSGP 1800 [16] 2000
Total Urban PopulationSGP 1800 [5] 2000
Urbanization RatioSGP 1800 [5] 2000
EnvironmentBiodiversity - naturalnessSGP 1500 [34] 2010
CO2 Emissions per CapitaSGP 1960 [6] 2010
SO2 Emissions per CapitaSGP 1850 [16] 2000
Total CO2 EmissionsSGP 1957 [52] 2008
Total SO2 EmissionsSGP 1850 [16] 2000
FinanceExchange Rates to UK PoundSGP 1834 [171] 2013
Exchange Rates to US DollarSGP 1918 [90] 2013
Gold StandardSGP 1800 [211] 2010
Long-Term Government
Bond Yield
Total Gross Central Government
Debt as a Percentage of GDPSGP 1969 [40] 2009
Gender Equality of NumeracySGP 1920 [4] 1960
Gender Equality Years
of Education
Historical Gender Equality IndexSGP 1950 [54] 2003
Human CapitalAverage Years of EducationSGP 1870 [15] 2010
Educational Inequality Gini
CoefficientSGP 1875 [136] 2010
Numeracy (Total)SGP 1920 [6] 1970
InstitutionsArmed Conflicts (Internal)SGP 1500 [501] 2000
Armed Conflicts (International)SGP 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)SGP 1959 [54] 2012
Competitiveness of Participations
(PARCOMP)SGP 1959 [54] 2012
Executive Constraints
(XCONST)SGP 1959 [54] 2012
Homicide RatesSGP 1955 [56] 2010
Latent Democracy VariableSGP 1965 [36] 2000
Openness of Executive
Recruitment (XROPEN)SGP 1959 [54] 2012
Political CompetitionSGP 1965 [36] 2000
Political ParticipationSGP 1965 [36] 2000
Polity2 IndexSGP 1959 [52] 2012
Regulation of Chief Executive
Recruitment (XRREG)SGP 1959 [54] 2012
Number of Days Lost in
Labour DisputesSGP 1948 [63] 2010
Number of Labour DisputesSGP 1948 [65] 2012
Number of Workers Involved
in Labour DisputesSGP 1948 [63] 2010
Working week
in manufacturingSGP 1953 [55] 2007
GDP per CapitaSGP 1870 [108] 2016
Prices and WagesIncome InequalitySGP 1970 [4] 2000
Labourers Real WageSGP 1915 [43] 2007
Wealth Yearly GinisSGP 2010 [3] 2012
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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