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    Home / Central Data Catalog / MICRODATA_RG / WLD_2000_MISM_V01_M / variable [F1]
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Measuring International Skilled Migration 1990-2000

Afghanistan, Angola, Albania...and 177 more, 1990 - 2000
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Reference ID
WLD_2000_MISM_v01_M
DOI
https://doi.org/10.48529/7d1b-4413
Producer(s)
Michel Beine, Frederic Docquier, Hillel Rapoport
Collection(s)
Development Research Microdata Fragility, Conflict and Violence
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Nov 20, 2013
Last modified
Oct 26, 2023
Page views
31678
Downloads
4787
  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • Sheet1

Country (Country)

Data file: Sheet1

Overview

Valid: 192
Invalid: 0
Type: Discrete
Start: 1
End: 31
Width: 31
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Afghanistan 1
0.5%
Albania 1
0.5%
Algeria 1
0.5%
Andorra 1
0.5%
Angola 1
0.5%
Antigua and Barbuda 1
0.5%
Argentina 1
0.5%
Armenia 1
0.5%
Australia 1
0.5%
Austria 1
0.5%
Azerbaijan 1
0.5%
Bahamas, The 1
0.5%
Bahrain 1
0.5%
Bangladesh 1
0.5%
Barbados 1
0.5%
Belarus 1
0.5%
Belgium 1
0.5%
Belize 1
0.5%
Benin 1
0.5%
Bhutan 1
0.5%
Bolivia 1
0.5%
Bosnia and Herzegovina 1
0.5%
Botswana 1
0.5%
Brazil 1
0.5%
Brunei 1
0.5%
Bulgaria 1
0.5%
Burkina Faso 1
0.5%
Burma (Myanmar) 1
0.5%
Burundi 1
0.5%
Cambodia 1
0.5%
Cameroon 1
0.5%
Canada 1
0.5%
Cape Verde 1
0.5%
Central African Republic 1
0.5%
Chad 1
0.5%
Chile 1
0.5%
China 1
0.5%
China, Hong Kong SAR 1
0.5%
China, Macao SAR 1
0.5%
Colombia 1
0.5%
Comoros 1
0.5%
Congo, Dem. Rep. of the 1
0.5%
Congo, Rep. of the 1
0.5%
Costa Rica 1
0.5%
Cote d'Ivoire 1
0.5%
Croatia 1
0.5%
Cuba 1
0.5%
Cyprus 1
0.5%
Czech Republic 1
0.5%
Denmark 1
0.5%
Djibouti 1
0.5%
Dominica 1
0.5%
Dominican Republic 1
0.5%
East Timor 1
0.5%
Ecuador 1
0.5%
Egypt 1
0.5%
El Salvador 1
0.5%
Equatorial Guinea 1
0.5%
Eritrea 1
0.5%
Estonia 1
0.5%
Ethiopia 1
0.5%
Fiji 1
0.5%
Finland 1
0.5%
France 1
0.5%
Gabon 1
0.5%
Gambia, The 1
0.5%
Georgia 1
0.5%
Germany 1
0.5%
Ghana 1
0.5%
Greece 1
0.5%
Grenada 1
0.5%
Guatemala 1
0.5%
Guinea 1
0.5%
Guinea-Bissau 1
0.5%
Guyana 1
0.5%
Haiti 1
0.5%
Honduras 1
0.5%
Hungary 1
0.5%
Iceland 1
0.5%
India 1
0.5%
Indonesia 1
0.5%
Iran 1
0.5%
Iraq 1
0.5%
Ireland 1
0.5%
Israel 1
0.5%
Italy 1
0.5%
Jamaica 1
0.5%
Japan 1
0.5%
Jordan 1
0.5%
Kazakhstan 1
0.5%
Kenya 1
0.5%
Kiribati 1
0.5%
Korea 1
0.5%
Kuwait 1
0.5%
Kyrgyzstan 1
0.5%
Laos 1
0.5%
Latvia 1
0.5%
Lebanon 1
0.5%
Lesotho 1
0.5%
Liberia 1
0.5%
Libya 1
0.5%
Lithuania 1
0.5%
Luxembourg 1
0.5%
Macedonia 1
0.5%
Madagascar 1
0.5%
Malawi 1
0.5%
Malaysia 1
0.5%
Maldives 1
0.5%
Mali 1
0.5%
Malta 1
0.5%
Marshall Islands 1
0.5%
Mauritania 1
0.5%
Mauritius 1
0.5%
Mexico 1
0.5%
Micronesia, Federated States of 1
0.5%
Moldova 1
0.5%
Mongolia 1
0.5%
Morocco 1
0.5%
Mozambique 1
0.5%
Namibia 1
0.5%
Nauru 1
0.5%
Nepal 1
0.5%
Netherlands 1
0.5%
New Zealand 1
0.5%
Nicaragua 1
0.5%
Niger 1
0.5%
Nigeria 1
0.5%
Norway 1
0.5%
Occupied Palest. Territory 1
0.5%
Oman 1
0.5%
Pakistan 1
0.5%
Palau 1
0.5%
Panama 1
0.5%
Papua New Guinea 1
0.5%
Paraguay 1
0.5%
Peru 1
0.5%
Philippines 1
0.5%
Poland 1
0.5%
Portugal 1
0.5%
Qatar 1
0.5%
Romania 1
0.5%
Russia 1
0.5%
Rwanda 1
0.5%
Saint Kitts and Nevis 1
0.5%
Saint Lucia 1
0.5%
Saint Vincent & Grenadines 1
0.5%
Samoa 1
0.5%
San Marino 1
0.5%
Sao Tome and Principe 1
0.5%
Saudi Arabia 1
0.5%
Senegal 1
0.5%
Serbia and Montenegro 1
0.5%
Seychelles 1
0.5%
Sierra Leone 1
0.5%
Singapore 1
0.5%
Slovakia 1
0.5%
Slovenia 1
0.5%
Solomon Islands 1
0.5%
Somalia 1
0.5%
South Africa 1
0.5%
Spain 1
0.5%
Sri Lanka 1
0.5%
Sudan 1
0.5%
Suriname 1
0.5%
Swaziland 1
0.5%
Sweden 1
0.5%
Switzerland 1
0.5%
Syria 1
0.5%
Taiwan 1
0.5%
Tajikistan 1
0.5%
Tanzania 1
0.5%
Thailand 1
0.5%
Togo 1
0.5%
Tonga 1
0.5%
Trinidad and Tobago 1
0.5%
Tunisia 1
0.5%
Turkey 1
0.5%
Turkmenistan 1
0.5%
Tuvalu 1
0.5%
Uganda 1
0.5%
Ukraine 1
0.5%
United Arab Emirates 1
0.5%
United Kingdom 1
0.5%
United States 1
0.5%
Uruguay 1
0.5%
Uzbekistan 1
0.5%
Vanuatu 1
0.5%
Venezuela 1
0.5%
Vietnam 1
0.5%
Yemen 1
0.5%
Zambia 1
0.5%
Zimbabwe 1
0.5%
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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