Evolution of GDP per Capita , 1820-2016
Evolution of Total Population, 1500-2000
Evolution of Life Expectancy at Birth (Total), 1923-2009
Evolution of Global Extreme Poverty Cost of Basic Needs, 1820-2018
Evolution of Global Hunger, 1820-2018
Evolution of Average Years of Education, 1870-2010
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 27 | Total Population | Sheep per Capita | Cropland per Capita | Pigs per Capita |
1870-1919 33 | Total Cropland | Sheep per Capita | Cropland per Capita | Pigs per Capita |
1920-1959 48 | Iron Ore Production | Total CO2 Emissions | Goats per Capita | Composite Measure of Wellbeing |
1960-2010 60 | Polyarchy | Number of Days Lost in Labour Disputes |
Openness of Executive Recruitment (XROPEN) |
Pigs per Capita |
Overall 64 | Total Pasture | Sheep per Capita | Cropland per Capita | Pigs per Capita |
Evolution of Global Extreme Poverty Dollar a Day, 1820-2018
Evolution of Educational Inequality Gini Coefficient, 1915-2010
Evolution of Total Urban Population, 1500-2000
Evolution of Cattle per Capita, 1500-2010
Evolution of Cropland per Capita, 1500-2010
Click on the TUN badge next to an indicator below to download the corresponding indicator only for Tunisia. The badge is only shown when data for Tunisia are available. You can also download all available indicators for Tunisia by clicking here
Clicking on the indicator's title takes you to the indicator's page as usual.
Cattle per CapitaTUN 1500 [43] 2010
Cropland per CapitaTUN 1500 [34] 2010
Goats per CapitaTUN 1500 [43] 2010
Pasture per CapitaTUN 1500 [34] 2010
Pigs per CapitaTUN 1500 [43] 2010
Sheep per CapitaTUN 1500 [43] 2010
Total CattleTUN 1500 [43] 2010
Total CroplandTUN 1500 [34] 2010
Total Number of GoatsTUN 1500 [43] 2010
Total Number of PigsTUN 1500 [43] 2010
Total Number of SheepTUN 1500 [43] 2010
Total PastureTUN 1500 [34] 2010
DemographyComposite Measure
of WellbeingTUN 1820 [19] 2000
Female life Expectancy at BirthTUN 1960 [5] 2000
Global Extreme Poverty (CBN)TUN 1820 [199] 2018
Global Extreme Poverty (DAD)TUN 1820 [199] 2018
Global HungerTUN 1820 [199] 2018
Infant MortalityTUN 1970 [2] 1990
Life Expectancy at Birth (Total)TUN 1923 [63] 2009
Male life Expectancy at BirthTUN 1960 [5] 2000
Total PopulationTUN 1500 [21] 2000
Total Urban PopulationTUN 1500 [11] 2000
Urbanization RatioTUN 1500 [8] 2000
EnvironmentBiodiversity - naturalnessTUN 1500 [34] 2010
CO2 Emissions per CapitaTUN 1920 [10] 2010
SO2 Emissions per CapitaTUN 1850 [16] 2000
Total CO2 EmissionsTUN 1916 [81] 2008
Total SO2 EmissionsTUN 1850 [16] 2000
FinanceExchange Rates to UK PoundTUN 1952 [62] 2013
Exchange Rates to US DollarTUN 1952 [62] 2013
Gold StandardTUN 1800 [211] 2010
Long-Term Government
Bond Yield
Total Gross Central Government
Debt as a Percentage of GDPTUN 1991 [20] 2010
Gender Equality of NumeracyTUN 1880 [6] 1930
Gender Equality Years
of Education
Historical Gender Equality IndexTUN 1950 [54] 2003
Human CapitalAverage Years of EducationTUN 1870 [15] 2010
Book Titles per CapitaTUN 1953 [26] 1996
Educational Inequality Gini
CoefficientTUN 1915 [96] 2010
Numeracy (Total)TUN 1880 [6] 1930
InstitutionsArmed Conflicts (Internal)TUN 1500 [501] 2000
Armed Conflicts (International)TUN 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)TUN 1959 [54] 2012
Competitiveness of Participations
(PARCOMP)TUN 1959 [54] 2012
Executive Constraints
(XCONST)TUN 1959 [54] 2012
Homicide RatesTUN 2004 [2] 2008
Openness of Executive
Recruitment (XROPEN)TUN 1959 [54] 2012
Political CompetitionTUN 1956 [45] 2000
Political ParticipationTUN 1956 [45] 2000
Polity2 IndexTUN 1959 [52] 2010
Regulation of Chief Executive
Recruitment (XRREG)TUN 1959 [54] 2012
Number of Days Lost in
Labour DisputesTUN 1954 [47] 2007
Number of Labour DisputesTUN 1955 [46] 2007
Number of Workers Involved
in Labour DisputesTUN 1955 [46] 2007
GDP per CapitaTUN 1820 [70] 2016
Prices and WagesIncome InequalityTUN 1970 [3] 1990
Labourers Real WageTUN 1954 [26] 1994
ProductionIron Ore ProductionTUN 1820 [193] 2012
Lead ProductionTUN 1705 [223] 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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