Measuring Brain Drain by Gender 1990-2000

Afghanistan, Angola, Albania...and 182 more, 1990 - 2000

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Reference ID

WLD_2000_MBDG_v01_M

DOI

https://doi.org/10.48529/tftq-v696

Producer(s)

Frédéric Docquier and B. Lindsay Lowell

Collection(s)

Development Research Microdata Fragility, Conflict and Violence

Metadata

Documentation in PDF DDI/XML JSON

Study website

Created on

Apr 01, 2011

Last modified

Oct 26, 2023

Page views

47572

Downloads

3484

Country of origin (origin)

Data file: Datasetbygender_Aggregates_Stata

Overview

Valid: 390

Invalid: 0

Type: Discrete

Start: 1

End: 32

Width: 32

Range: -

Format: character

Questions and instructions

Categories

Value	Cases
Afghanistan	2	0.5%
Albania	2	0.5%
Algeria	2	0.5%
Andorra	2	0.5%
Angola	2	0.5%
Antigua and Barbuda	2	0.5%
Argentina	2	0.5%
Armenia	2	0.5%
Australia	2	0.5%
Austria	2	0.5%
Azerbaijan	2	0.5%
Bahamas, The	2	0.5%
Bahrain	2	0.5%
Bangladesh	2	0.5%
Barbados	2	0.5%
Belarus	2	0.5%
Belgium	2	0.5%
Belize	2	0.5%
Benin	2	0.5%
Bhutan	2	0.5%
Bolivia	2	0.5%
Bosnia and Herzegovina	2	0.5%
Botswana	2	0.5%
Brazil	2	0.5%
Brunei	2	0.5%
Bulgaria	2	0.5%
Burkina Faso	2	0.5%
Burma (Myanmar)	2	0.5%
Burundi	2	0.5%
Cambodia	2	0.5%
Cameroon	2	0.5%
Canada	2	0.5%
Cape Verde	2	0.5%
Central African Republic	2	0.5%
Chad	2	0.5%
Chile	2	0.5%
China	2	0.5%
China, Hong Kong SAR	2	0.5%
China, Macao SAR	2	0.5%
Colombia	2	0.5%
Comoros	2	0.5%
Congo, Dem. Rep. of the	2	0.5%
Congo, Rep. of the	2	0.5%
Costa Rica	2	0.5%
Cote d'Ivoire	2	0.5%
Croatia	2	0.5%
Cuba	2	0.5%
Cyprus	2	0.5%
Czech Republic	2	0.5%
Denmark	2	0.5%
Djibouti	2	0.5%
Dominica	2	0.5%
Dominican Republic	2	0.5%
East Timor	2	0.5%
Ecuador	2	0.5%
Egypt	2	0.5%
El Salvador	2	0.5%
Equatorial Guinea	2	0.5%
Eritrea	2	0.5%
Estonia	2	0.5%
Ethiopia	2	0.5%
Fiji	2	0.5%
Finland	2	0.5%
France	2	0.5%
Gabon	2	0.5%
Gambia, The	2	0.5%
Georgia	2	0.5%
Germany	2	0.5%
Ghana	2	0.5%
Greece	2	0.5%
Grenada	2	0.5%
Guatemala	2	0.5%
Guinea	2	0.5%
Guinea-Bissau	2	0.5%
Guyana	2	0.5%
Haiti	2	0.5%
Holy See (Vatican City)	2	0.5%
Honduras	2	0.5%
Hungary	2	0.5%
Iceland	2	0.5%
India	2	0.5%
Indonesia	2	0.5%
Iran	2	0.5%
Iraq	2	0.5%
Ireland	2	0.5%
Israel	2	0.5%
Italy	2	0.5%
Jamaica	2	0.5%
Japan	2	0.5%
Jordan	2	0.5%
Kazakhstan	2	0.5%
Kenya	2	0.5%
Kiribati	2	0.5%
Korea	2	0.5%
Kuwait	2	0.5%
Kyrgyzstan	2	0.5%
Laos	2	0.5%
Latvia	2	0.5%
Lebanon	2	0.5%
Lesotho	2	0.5%
Liberia	2	0.5%
Libya	2	0.5%
Liechtenstein	2	0.5%
Lithuania	2	0.5%
Luxembourg	2	0.5%
Macedonia	2	0.5%
Madagascar	2	0.5%
Malawi	2	0.5%
Malaysia	2	0.5%
Maldives	2	0.5%
Mali	2	0.5%
Malta	2	0.5%
Marshall Islands	2	0.5%
Mauritania	2	0.5%
Mauritius	2	0.5%
Mexico	2	0.5%
Micronesia, Federated States of	2	0.5%
Moldova	2	0.5%
Monaco	2	0.5%
Mongolia	2	0.5%
Morocco	2	0.5%
Mozambique	2	0.5%
Namibia	2	0.5%
Nauru	2	0.5%
Nepal	2	0.5%
Netherlands	2	0.5%
New Zealand	2	0.5%
Nicaragua	2	0.5%
Niger	2	0.5%
Nigeria	2	0.5%
Norway	2	0.5%
Occupied Palestinian Territory	2	0.5%
Oman	2	0.5%
Pakistan	2	0.5%
Palau	2	0.5%
Panama	2	0.5%
Papua New Guinea	2	0.5%
Paraguay	2	0.5%
Peru	2	0.5%
Philippines	2	0.5%
Poland	2	0.5%
Portugal	2	0.5%
Qatar	2	0.5%
Romania	2	0.5%
Russia	2	0.5%
Rwanda	2	0.5%
Saint Kitts and Nevis	2	0.5%
Saint Lucia	2	0.5%
Saint Vincent and the Grenadines	2	0.5%
Samoa	2	0.5%
San Marino	2	0.5%
Sao Tome and Principe	2	0.5%
Saudi Arabia	2	0.5%
Senegal	2	0.5%
Serbia and Montenegro	2	0.5%
Seychelles	2	0.5%
Sierra Leone	2	0.5%
Singapore	2	0.5%
Slovakia	2	0.5%
Slovenia	2	0.5%
Solomon Islands	2	0.5%
Somalia	2	0.5%
South Africa	2	0.5%
Spain	2	0.5%
Sri Lanka	2	0.5%
Sudan	2	0.5%
Suriname	2	0.5%
Swaziland	2	0.5%
Sweden	2	0.5%
Switzerland	2	0.5%
Syria	2	0.5%
Taiwan	2	0.5%
Tajikistan	2	0.5%
Tanzania	2	0.5%
Thailand	2	0.5%
Togo	2	0.5%
Tonga	2	0.5%
Trinidad and Tobago	2	0.5%
Tunisia	2	0.5%
Turkey	2	0.5%
Turkmenistan	2	0.5%
Tuvalu	2	0.5%
Uganda	2	0.5%
Ukraine	2	0.5%
United Arab Emirates	2	0.5%
United Kingdom	2	0.5%
United States	2	0.5%
Uruguay	2	0.5%
Uzbekistan	2	0.5%
Vanuatu	2	0.5%
Venezuela	2	0.5%
Vietnam	2	0.5%
Yemen	2	0.5%
Zambia	2	0.5%
Zimbabwe	2	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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