Evolution of Numeracy (Total) , 1820-1940
Evolution of Gender Equality of Numeracy, 1820-1940
Evolution of Total Urban Population, 1500-2000
Evolution of Cattle per Capita, 1500-2010
Evolution of Cropland per Capita, 1500-2010
Evolution of Goats 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 28 | Total Num. of Pigs | Total CO2 Emissions | CO2 Emissions per Capita |
Cattle per Capita |
1870-1919 31 | Total Num. of Goats | CO2 Emissions per Capita |
Zinc Production | Pigs per Capita |
1920-1959 33 | Zinc Production | Composite Measure of Wellbeing |
Lead Production | Total CO2 Emissions |
1960-2010 52 | Total Population | Total CO2 Emissions | Gold Production | Total CO2 Emissions |
Overall 56 | Total Cattle | Sheep per Capita | Total Num. of Sheep | Pigs per Capita |
Evolution of Biodiversity - naturalness, 1500-2010
Evolution of Copper Production, 1700-2012
Evolution of Gold Production, 1681-2012
Evolution of Lead Production, 1705-2012
Evolution of CO2 Emissions per Capita, 1830-2010
Click on the UZB badge next to an indicator below to download the corresponding indicator only for Uzbekistan. The badge is only shown when data for Uzbekistan are available. You can also download all available indicators for Uzbekistan by clicking here
Clicking on the indicator's title takes you to the indicator's page as usual.
Cattle per CapitaUZB 1500 [43] 2010
Cropland per CapitaUZB 1500 [34] 2010
Goats per CapitaUZB 1500 [43] 2010
Pasture per CapitaUZB 1500 [34] 2010
Pigs per CapitaUZB 1500 [43] 2010
Sheep per CapitaUZB 1500 [43] 2010
Total CattleUZB 1500 [43] 2010
Total CroplandUZB 1500 [34] 2010
Total Number of GoatsUZB 1500 [43] 2010
Total Number of PigsUZB 1500 [43] 2010
Total Number of SheepUZB 1500 [43] 2010
Total PastureUZB 1500 [34] 2010
DemographyComposite Measure
of WellbeingUZB 1820 [19] 2000
Female life Expectancy at BirthUZB 1960 [5] 2000
Life Expectancy at Birth (Total)UZB 1950 [60] 2009
Male life Expectancy at BirthUZB 1960 [5] 2000
Total PopulationUZB 1800 [8] 2000
Total Urban PopulationUZB 1500 [11] 2000
Urbanization RatioUZB 1800 [3] 2000
EnvironmentBiodiversity - naturalnessUZB 1500 [34] 2010
CO2 Emissions per CapitaUZB 1830 [17] 2010
SO2 Emissions per CapitaUZB 1850 [16] 2000
Total CO2 EmissionsUZB 1830 [157] 2008
Total SO2 EmissionsUZB 1850 [16] 2000
FinanceExchange Rates to UK PoundUZB 1995 [7] 2001
Exchange Rates to US DollarUZB 1995 [6] 2000
Gender Equality of NumeracyUZB 1820 [12] 1940
Gender Equality Years
of Education
Historical Gender Equality Index
Share of Women in ParliamentUZB 1994 [15] 2008
Human CapitalAverage Years of EducationUZB 1940 [6] 2010
Book Titles per CapitaUZB 1924 [67] 1990
Educational Inequality Gini
CoefficientUZB 1970 [41] 2010
Numeracy (Total)UZB 1820 [12] 1940
InstitutionsArmed Conflicts (Internal)UZB 1500 [501] 2000
Armed Conflicts (International)UZB 1500 [501] 2000
Competitiveness of Executive
Recruitment (XRCOMP)UZB 1991 [22] 2012
Competitiveness of Participations
(PARCOMP)UZB 1991 [22] 2012
Executive Constraints
(XCONST)UZB 1991 [22] 2012
Homicide RatesUZB 1981 [27] 2010
Openness of Executive
Recruitment (XROPEN)UZB 1991 [22] 2012
Political CompetitionUZB 1991 [10] 2000
Political ParticipationUZB 1991 [10] 2000
Polity2 IndexUZB 1991 [22] 2012
Regulation of Chief Executive
Recruitment (XRREG)UZB 1991 [22] 2012
Number of Days Lost in
Labour Disputes
Number of Workers Involved
in Labour Disputes
GDP per CapitaUZB 1973 [38] 2016
Prices and WagesIncome InequalityUZB 1890 [7] 1990
ProductionCopper ProductionUZB 1700 [289] 2012
Gold ProductionUZB 1681 [332] 2012
Lead ProductionUZB 1705 [223] 2012
Silver ProductionUZB 1681 [332] 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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