Summary information

Study title

Democratization and Power Resources 1850-2000

Creator

Vanhanen, Tatu (University of Tampere. Department of Political Science and International Relations)

Study number / PID

FSD1216 (FSD)

urn:nbn:fi:fsd:T-FSD1216 (URN)

10.60686/t-fsd1216 (DOI)

Data access

Open

Series

Individual datasets

Individual datasets that do not belong to any series.

Abstract

This large longitudinal study is the result of professor Tatu Vanhanen's long-term research on democratization and power resources. International scientific community knows this data also by the name "Vanhanen's Index of Power Resources". The data have been collected from several written sources and have been published as appendices of five different books. The books are listed in the section Data sources below. The original sources of the numerical data published in these books have been collected to a separate document containing background information. Vanhanen divides the variables of his dataset into two main groups. The first group consists of Measures of Democracy and includes three variables. The second group is called Measures of Resource Distribution. The variables in the first group (Measures of Democracy) are Competition, Participation and Index of Democratization. The value of Competition is calculated by subtracting the percentage of votes/seats gained by the largest political party in parliamentary elections and/or in presidential (executive) elections from 100%. The Participation variable is an aggregate of the turnout in elections (percentage of the total population who voted in the same election) and the number of referendums. Each national referendum raises the value of Participation by five percentage points and each state referendum by one percentage point for the year of the referendum. The upper limit for both variables is 70%. Index of Democratization is derived by first multiplying the above mentioned variables Competition and Participation and then dividing this product by 100. Six variables are used to measure resource distribution: 1) Urban Population (%) (as a percentage of total population). 2) Non-Agricultural Population (%) (derived by subtracting the percentage of agricultural population from 100%). 3) Number of students: the variable denotes how many students there are in universities and other higher education institutions per...

Social sciencesInternational politics and organisationsEconomic conditions and indicators

CompetitionParticipationDemocratizationDemocracyAgricultural societyEconomic and social developmentUrbanizationPolitical powerStudentsLiteracyResourcesUrban population

Data collection period

1979 - 2003

Country

United Arab Emirates, Afghanistan, Antigua and Barbuda, Albania, Armenia, Angola, Argentina, Austria, Australia, Azerbaijan, Bosnia and Herzegovina, Barbados, Bangladesh, Belgium, Burkina Faso, Bulgaria, Bahrain, Burundi, Benin, Brunei, Bolivia, Brazil, Bahamas, Bhutan, Botswana, Belarus, Belize, Canada, Congo (Zaire), Central African Republic, Congo (Brazzaville), Switzerland, Ivory Coast (Côte d'Ivoire), Chile, Cameroon, China, Colombia, Costa Rica, Czechoslovakia, Cuba, Cape Verde, Cyprus, Czech Republic, German Democratic Republic GDR, Germany, West-Germany, Djibouti, Denmark, Dominica, Dominican Republic, Algeria, Ecuador, Estonia, Egypt, Eritrea, Spain, Ethiopia, Finland, Fiji, Micronesia, France, Gabon, United Kingdom, Grenada, Georgia, Ghana, Gambia, Guinea, Equatorial Guinea, Greece, Guatemala, Guinea-Bissau, Guyana, Honduras, Croatia, Haiti, Hungary, Indonesia, Ireland, Israel, India, Iraq, Iran, Iceland, Italy, Jamaica, Jordan, Japan, Kenya, Kyrgyzstan, Cambodia, Kiribati, Comoros, Saint Kitts and Nevis, North Korea, South Korea, Kuwait, Kazakhstan, Laos, Lebanon, Saint Lucia, Sri Lanka, Liberia, Lesotho, Lithuania, Luxembourg, Latvia, Libya, Morocco, Moldova, Madagascar, Marshall Islands, Macedonia, Mali, Myanmar (Burma), Mongolia, Mauritania, Malta, Mauritius, Maldives, Malawi, Mexico, Malaysia, Mozambique, Namibia, Niger, Nigeria, Nicaragua, The Netherlands, Norway, Nepal, New Zealand, Oman, Panama, Peru, Papua New Guinea, Philippines, Pakistan, Poland, Portugal, Paraguay, Qatar, Romania, Russia, Rwanda, Saudi Arabia, Solomon Islands, Seychelles, Sudan, Sweden, Singapore, Slovenia, Slovakia, Sierra Leone, Senegal, Somalia, Serbia, Suriname, Sao Tome and Principe, Russia (USSR, Soviet Union), El Salvador, Syria, Swaziland, Chad, Togo, Thailand, Tajikistan, Turkmenistan, Tunisia, Tonga, Turkey, Trinidad and Tobago, Taiwan, Tanzania, Ukraine, Uganda, United States, Uruguay, Uzbekistan, Saint Vincent and the Grenadines, Venezuela, Vietnam, North Vietnam, South Vietnam, Western Samoa, Vanuatu, Yemen, South Yemen, North Yemen, Yugoslavia, South Africa, Zambia, Zimbabwe

Time dimension

Time series

Analysis unit

Political-administrative area

Universe

The countries mentioned above

Sampling procedure

Total universe/Complete enumeration

Kind of data

Quantitative

Data collection mode

Compilation/Synthesis

Publisher

Finnish Social Science Data Archive

Publication year

2003

Terms of data access

The dataset is (A) openly available for all users without registration (CC BY 4.0).

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