Evolution of Total Population , 1700-2000
Evolution of Global Extreme Poverty Cost of Basic Needs, 1820-2018
Evolution of Global Hunger, 1820-2018
Evolution of Labourers Real Wage, 1882-1984
Evolution of Global Extreme Poverty Dollar a Day, 1820-2018
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 21 | Total Num. of Goats | Global Hunger | Global Extreme Poverty Dollar a Day |
Composite Measure of Wellbeing |
1870-1919 24 | Total Num. of Goats | Composite Measure of Wellbeing |
Global Extreme Poverty Dollar a Day |
Cropland per Capita |
1920-1959 32 | Total Num. of Goats | Composite Measure of Wellbeing |
Biodiversity - naturalness |
Total Population |
1960-2010 49 | Total Num. of Pigs | Total CO2 Emissions | Goats per Capita | Total Population |
Overall 53 | N/A | N/A | Biodiversity - naturalness |
Cropland per Capita |
Evolution of Cropland per Capita, 1500-2010
Evolution of Goats per Capita, 1790-2010
Evolution of Biodiversity - naturalness, 1500-2010
Evolution of Gold Production, 1681-2012
Evolution of Manganese Production, 1835-2012
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Cattle per CapitaFJI 1500 [43] 2010
Cropland per CapitaFJI 1500 [34] 2010
Goats per CapitaFJI 1790 [32] 2010
Pasture per CapitaFJI 1500 [34] 2010
Pigs per CapitaFJI 1500 [43] 2010
Total CattleFJI 1500 [43] 2010
Total CroplandFJI 1500 [34] 2010
Total Number of GoatsFJI 1790 [32] 2010
Total Number of PigsFJI 1500 [43] 2010
Total PastureFJI 1500 [34] 2010
DemographyComposite Measure
of WellbeingFJI 1820 [19] 2000
Female life Expectancy at BirthFJI 1960 [5] 2000
Global Extreme Poverty (CBN)FJI 1820 [199] 2018
Global Extreme Poverty (DAD)FJI 1820 [199] 2018
Global HungerFJI 1820 [199] 2018
Life Expectancy at Birth (Total)FJI 1950 [60] 2009
Male life Expectancy at BirthFJI 1960 [5] 2000
Total PopulationFJI 1700 [17] 2000
Total Urban PopulationFJI 1800 [5] 2000
Urbanization RatioFJI 1800 [5] 2000
EnvironmentBiodiversity - naturalnessFJI 1500 [34] 2010
CO2 Emissions per CapitaFJI 1950 [7] 2010
Total CO2 EmissionsFJI 1950 [59] 2008
FinanceExchange Rates to UK PoundFJI 1952 [62] 2013
Exchange Rates to US DollarFJI 1952 [62] 2013
Long-Term Government
Bond Yield
Total Gross Central Government
Debt as a Percentage of GDPFJI 1991 [4] 1994
Gender Equality of NumeracyFJI 1860 [10] 1950
Gender Equality Years
of Education
Historical Gender Equality Index
Human CapitalAverage Years of EducationFJI 1950 [7] 2010
Educational Inequality Gini
CoefficientFJI 1950 [61] 2010
Numeracy (Total)FJI 1860 [10] 1950
InstitutionsArmed Conflicts (Internal)FJI 1500 [501] 2000
Armed Conflicts (International)FJI 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)FJI 1970 [43] 2012
Competitiveness of Participations
(PARCOMP)FJI 1970 [43] 2012
Executive Constraints
(XCONST)FJI 1970 [43] 2012
Homicide RatesFJI 1978 [3] 2004
Openness of Executive
Recruitment (XROPEN)FJI 1970 [43] 2012
Political ParticipationFJI 1966 [35] 2000
Polity2 IndexFJI 1970 [43] 2012
Regulation of Chief Executive
Recruitment (XRREG)FJI 1970 [43] 2012
Number of Days Lost in
Labour DisputesFJI 1952 [44] 1995
Number of Labour DisputesFJI 1952 [44] 1995
Number of Workers Involved
in Labour DisputesFJI 1952 [44] 1995
Working week
in manufacturingFJI 1980 [12] 1991
Income InequalityFJI 1970 [2] 1980
Labourers Real WageFJI 1882 [42] 1984
ProductionGold ProductionFJI 1681 [332] 2012
Manganese ProductionFJI 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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