Evolution of Global Extreme Poverty Cost of Basic Needs , 1820-2018
Evolution of Global Hunger, 1820-2018
Evolution of Numeracy (Total), 1820-1960
Evolution of Global Extreme Poverty Dollar a Day, 1820-2018
Evolution of Gender Equality of Numeracy, 1820-1960
Evolution of Total Urban Population, 1500-2000
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 | Gender Equality of Numeracy |
Total CO2 Emissions | CO2 Emissions per Capita Total CO2 Emissions |
Biodiversity - naturalness |
1870-1919 25 | Total Num. of Goats | CO2 Emissions per Capita |
CO2 Emissions per Capita |
Biodiversity - naturalness |
1920-1959 28 | Composite Measure of Wellbeing |
Total CO2 Emissions | Composite Measure of Wellbeing |
Biodiversity - naturalness |
1960-2010 56 | Total Num. of Goats | Pigs per Capita | Cropland per Capita | Biodiversity - naturalness |
Overall 60 | Total Cattle | Sheep per Capita | Cropland per Capita | Biodiversity - naturalness |
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 CO2 Emissions per Capita, 1830-2010
Click on the MDA badge next to an indicator below to download the corresponding indicator only for Moldova. The badge is only shown when data for Moldova are available. You can also download all available indicators for Moldova by clicking here
Clicking on the indicator's title takes you to the indicator's page as usual.
Cattle per CapitaMDA 1500 [43] 2010
Cropland per CapitaMDA 1500 [34] 2010
Goats per CapitaMDA 1500 [43] 2010
Pasture per CapitaMDA 1500 [34] 2010
Pigs per CapitaMDA 1500 [43] 2010
Sheep per CapitaMDA 1500 [43] 2010
Total CattleMDA 1500 [43] 2010
Total CroplandMDA 1500 [34] 2010
Total Number of GoatsMDA 1500 [43] 2010
Total Number of PigsMDA 1500 [43] 2010
Total Number of SheepMDA 1500 [43] 2010
Total PastureMDA 1500 [34] 2010
DemographyComposite Measure
of WellbeingMDA 1820 [19] 2000
Female life Expectancy at BirthMDA 1960 [5] 2000
Global Extreme Poverty (CBN)MDA 1820 [199] 2018
Global Extreme Poverty (DAD)MDA 1820 [199] 2018
Global HungerMDA 1820 [199] 2018
Infant MortalityMDA 1910 [6] 1980
Life Expectancy at Birth (Total)MDA 1950 [60] 2009
Male life Expectancy at BirthMDA 1960 [5] 2000
Total PopulationMDA 1800 [8] 2000
Total Urban PopulationMDA 1500 [11] 2000
Urbanization RatioMDA 1800 [3] 2000
EnvironmentBiodiversity - naturalnessMDA 1500 [34] 2010
CO2 Emissions per CapitaMDA 1830 [17] 2010
SO2 Emissions per CapitaMDA 1850 [16] 2000
Total CO2 EmissionsMDA 1830 [154] 2005
Total SO2 EmissionsMDA 1850 [16] 2000
FinanceExchange Rates to UK PoundMDA 1995 [19] 2013
Exchange Rates to US DollarMDA 1995 [19] 2013
Gender Equality of NumeracyMDA 1820 [14] 1960
Gender Equality Years
of Education
Historical Gender Equality IndexMDA 1991 [13] 2003
Share of Women in ParliamentMDA 1998 [11] 2008
Human CapitalAverage Years of EducationMDA 1970 [5] 2010
Book Titles per CapitaMDA 1940 [51] 1990
Educational Inequality Gini
CoefficientMDA 1970 [41] 2010
Numeracy (Total)MDA 1820 [14] 1960
Universities FoundedMDA 1940 [3] 1993
InstitutionsArmed Conflicts (Internal)MDA 1500 [501] 2000
Armed Conflicts (International)MDA 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)MDA 1991 [22] 2012
Competitiveness of Participations
(PARCOMP)MDA 1991 [22] 2012
Executive Constraints
(XCONST)MDA 1991 [22] 2012
Homicide RatesMDA 1981 [28] 2010
Latent Democracy VariableMDA 1991 [10] 2000
Openness of Executive
Recruitment (XROPEN)MDA 1991 [22] 2012
Political CompetitionMDA 1991 [10] 2000
Political ParticipationMDA 1991 [10] 2000
Polity2 IndexMDA 1991 [22] 2012
Regulation of Chief Executive
Recruitment (XRREG)MDA 1991 [22] 2012
Number of Days Lost in
Labour DisputesMDA 1988 [10] 1997
Number of Labour DisputesMDA 1988 [10] 1997
Number of Workers Involved
in Labour DisputesMDA 1988 [10] 1997
Working week
in manufacturingMDA 1985 [24] 2008
GDP per CapitaMDA 1973 [38] 2016
Prices and Wages 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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