Evolution of Total Population , 1500-2000
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 Total Urban Population, 1500-2000
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 18 | Total Cattle | Global Hunger | Goats per Capita | Cattle per Capita Total Cattle |
1870-1919 17 | Total Cattle | Sheep per Capita | Goats per Capita | Cattle per Capita |
1920-1959 22 | Total Cattle | Composite Measure of Wellbeing |
Goats per Capita | Total Population |
1960-2010 43 | Total Population | Total CO2 Emissions | Total CO2 Emissions | Biodiversity - naturalness |
Overall 45 | Total Cattle | Sheep per Capita | Goats per Capita | Total Pasture |
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
Evolution of Armed Conflicts (International), 1500-2000
Click on the COM badge next to an indicator below to download the corresponding indicator only for Comoros. The badge is only shown when data for Comoros are available. You can also download all available indicators for Comoros by clicking here
Clicking on the indicator's title takes you to the indicator's page as usual.
Cattle per CapitaCOM 1500 [43] 2010
Cropland per CapitaCOM 1500 [34] 2010
Goats per CapitaCOM 1500 [43] 2010
Pasture per CapitaCOM 1500 [34] 2010
Sheep per CapitaCOM 1500 [43] 2010
Total CattleCOM 1500 [43] 2010
Total CroplandCOM 1500 [34] 2010
Total Number of GoatsCOM 1500 [43] 2010
Total Number of SheepCOM 1500 [43] 2010
Total PastureCOM 1500 [34] 2010
DemographyComposite Measure
of WellbeingCOM 1820 [19] 2000
Female life Expectancy at BirthCOM 1960 [5] 2000
Global Extreme Poverty (CBN)COM 1820 [199] 2018
Global Extreme Poverty (DAD)COM 1820 [199] 2018
Global HungerCOM 1820 [199] 2018
Life Expectancy at Birth (Total)COM 1950 [60] 2009
Male life Expectancy at BirthCOM 1960 [5] 2000
Total PopulationCOM 1500 [15] 2000
Total Urban PopulationCOM 1500 [11] 2000
Urbanization RatioCOM 1500 [9] 2000
EnvironmentBiodiversity - naturalnessCOM 1500 [34] 2010
CO2 Emissions per CapitaCOM 1960 [6] 2010
Total CO2 EmissionsCOM 1959 [50] 2008
FinanceExchange Rates to UK PoundCOM 1952 [62] 2013
Exchange Rates to US DollarCOM 1952 [62] 2013
Gender Equality Years
of Education
Historical Gender Equality Index
Human CapitalEducational Inequality Gini
Coefficient
Armed Conflicts (Internal)COM 1500 [501] 2000
Armed Conflicts (International)COM 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)COM 1975 [38] 2012
Competitiveness of Participations
(PARCOMP)COM 1975 [38] 2012
Executive Constraints
(XCONST)COM 1975 [38] 2012
Homicide RatesCOM 2004 [2] 2008
Openness of Executive
Recruitment (XROPEN)COM 1975 [38] 2012
Political CompetitionCOM 1975 [26] 2000
Political ParticipationCOM 1975 [26] 2000
Polity2 IndexCOM 1975 [38] 2012
Regulation of Chief Executive
Recruitment (XRREG)COM 1975 [38] 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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