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 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 22 | Total Cattle | Composite Measure of Wellbeing |
Composite Measure of Wellbeing |
Biodiversity - naturalness |
1870-1919 23 | Total Cattle | Total SO2 Emissions | Composite Measure of Wellbeing |
Biodiversity - naturalness |
1920-1959 33 | Total Cattle | Total SO2 Emissions | Global Extreme Poverty Cost of Basic Needs |
Biodiversity - naturalness |
1960-2010 40 | GDP per Capita | Total CO2 Emissions | Global Extreme Poverty Cost of Basic Needs |
Cropland per Capita |
Overall 47 | Total Cattle | Cropland per Capita | 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 MLT badge next to an indicator below to download the corresponding indicator only for Malta. The badge is only shown when data for Malta are available. You can also download all available indicators for Malta by clicking here
Clicking on the indicator's title takes you to the indicator's page as usual.
Cattle per CapitaMLT 1500 [43] 2010
Cropland per CapitaMLT 1500 [34] 2010
Goats per CapitaMLT 1500 [43] 2010
Pasture per CapitaMLT 1500 [28] 1950
Pigs per CapitaMLT 1500 [43] 2010
Sheep per CapitaMLT 1500 [43] 2010
Total CattleMLT 1500 [43] 2010
Total CroplandMLT 1500 [34] 2010
Total Number of GoatsMLT 1500 [43] 2010
Total Number of PigsMLT 1500 [43] 2010
Total Number of SheepMLT 1500 [43] 2010
Total PastureMLT 1500 [28] 1950
DemographyComposite Measure
of WellbeingMLT 1820 [19] 2000
Female life Expectancy at BirthMLT 1960 [5] 2000
Global Extreme Poverty (CBN)MLT 1820 [199] 2018
Global Extreme Poverty (DAD)MLT 1820 [199] 2018
Global HungerMLT 1820 [199] 2018
Life Expectancy at Birth (Total)
Male life Expectancy at BirthMLT 1960 [5] 2000
Total PopulationMLT 1800 [12] 2000
Total Urban PopulationMLT 1500 [11] 2000
Urbanization RatioMLT 1800 [3] 2000
EnvironmentBiodiversity - naturalnessMLT 1500 [34] 2010
CO2 Emissions per CapitaMLT 1950 [7] 2010
SO2 Emissions per CapitaMLT 1850 [16] 2000
Total CO2 EmissionsMLT 1950 [56] 2005
Total SO2 EmissionsMLT 1850 [16] 2000
FinanceExchange Rates to UK PoundMLT 1809 [78] 2013
Exchange Rates to US DollarMLT 1952 [62] 2013
Gender Equality of NumeracyMLT 1880 [5] 1920
Gender Equality Years
of Education
Historical Gender Equality Index
Share of Women in ParliamentMLT 1990 [21] 2010
Human CapitalBook Titles per CapitaMLT 1965 [28] 1995
Educational Inequality Gini
Coefficient
Numeracy (Total)MLT 1870 [6] 1920
Universities FoundedMLT 1592 [2] 1769
InstitutionsArmed Conflicts (Internal)MLT 1500 [501] 2000
Armed Conflicts (International)MLT 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)
Competitiveness of Participations
(PARCOMP)
Executive Constraints
(XCONST)
Homicide RatesMLT 1947 [59] 2010
Openness of Executive
Recruitment (XROPEN)
Political CompetitionMLT 1964 [37] 2000
Political ParticipationMLT 1964 [37] 2000
Regulation of Chief Executive
Recruitment (XRREG)
Number of Days Lost in
Labour DisputesMLT 1951 [54] 2012
Number of Labour DisputesMLT 1951 [54] 2012
Number of Workers Involved
in Labour DisputesMLT 1951 [54] 2012
Working week
in manufacturingMLT 1949 [55] 2008
GDP per CapitaMLT 1950 [67] 2016
Prices and WagesLabourers Real WageMLT 1953 [13] 1971
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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