Talent Migration | LinkedIn Data

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Data showing the movement of LinkedIn members across the world at the country, industry, and skill level.

This dataset is part of the LinkedIn - World Bank Group partnership, which helps governments and researchers understand rapidly evolving labor markets with detailed and dynamic insights. It allows leaders to benchmark and compare labor markets across the world; analyze skills, occupations, migration, and industries; and leverage real-time data to make policy changes.

Visualizations for many of these data are available at linkedindata.worldbank.org. The data cover 2015-2019, are refreshed on an annual basis, and are available for 140+ countries.

Type: 
Time Series
Languages Supported: 
English
Custom License Information: 

Aggregated datasets and visuals are available to the public under the Creative Commons Attribution 4.0 IGO license with attribution to both LinkedIn Corporation and the World Bank. The World Bank Group and LinkedIn Corporation (including its affiliates) do not take responsibility and are not liable for any damage caused through use of data and insights through this website, including any indirect, special, incidental or consequential damages.

Topics: 
Economic Growth
Education
Information and Communication Technologies
Jobs
Private Sector Development
Public-Private Partnerships
Social Protection and Labor
Trade
Granularity: 
Geographical Coverage: 
World
East Asia & Pacific
Australia
Cambodia
China
Fiji
Hong Kong SAR, China
Indonesia
Japan
Korea, Rep.
Lao PDR
Macao SAR, China
Malaysia
Mongolia
Myanmar
New Zealand
Papua New Guinea
Philippines
Singapore
Solomon Islands
Taiwan, China
Thailand
Vietnam
Europe & Central Asia
Albania
Armenia
Austria
Azerbaijan
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Cyprus
Czech Republic
Denmark
Estonia
Finland
France
Georgia
Germany
Gibraltar
Greece
Hungary
Iceland
Ireland
Italy
Kazakhstan
Latvia
Lithuania
Luxembourg
Moldova
Netherlands
North Macedonia
Norway
Poland
Portugal
Romania
Serbia
Slovak Republic
Slovenia
Spain
Sweden
Switzerland
Tajikistan
Turkey
Ukraine
United Kingdom
Uzbekistan
Latin America & Caribbean
Argentina
Bahamas, The
Bolivia
Brazil
Chile
Costa Rica
Colombia
Cuba
Dominican Republic
Ecuador
El Salvador
Grenada
Guatemala
Guyana
Haiti
Honduras
Jamaica
Martinique
Mexico
Montserrat
Nicaragua
Panama
Paraguay
Peru
Netherlands Antilles
Puerto Rico
Trinidad and Tobago
Uruguay
Venezuela, RB
Middle East & North Africa
Algeria
Bahrain
Egypt, Arab Rep.
Iraq
Iran, Islamic Rep.
Israel
Jordan
Kuwait
Lebanon
Libya
Malta
Morocco
Oman
Qatar
Saudi Arabia
Syrian Arab Republic
United Arab Emirates
Tunisia
Yemen, Rep.
North America
Canada
United States
South Asia
Afghanistan
Bangladesh
India
Pakistan
Nepal
Sri Lanka
Sub-Saharan Africa
Angola
Benin
Botswana
Burkina Faso
Cameroon
Congo, Dem. Rep.
Côte d'Ivoire
Ethiopia
Gabon
Ghana
Kenya
Madagascar
Malawi
Mali
Mauritius
Mozambique
Namibia
Nigeria
Rwanda
Senegal
South Africa
South Sudan
Sudan
Tanzania
Togo
Uganda
Zambia
Zimbabwe
Economy Coverage: 
High Income
Low Income
Lower Middle Income
Upper Middle Income
Number of Economies: 
160
Periodicity: 
Annual
Temporal Coverage: 
2015 - 2019

Update Frequency

Update Frequency: 
Annually
Source Type: 
Statistical Concept and Methodology: 
A migration instance is defined as a LinkedIn member changing the location on their LinkedIn profile. Figures are normalized by LinkedIn member counts for each country, country-industry, and country-skill to enable fair comparisons across samples.
Unit of measure: 

Migration rate per 10,000 LinkedIn members

Aggregation Method: 
Data is available at the country, country-industry, and country-skill level.
Organization: 
LinkedIn
Time Periods: 
August, 2020

No Visualizations Available.

"Talent Migration Data" by World Bank Group & LinkedIn Corporation, licensed under CC BY 4.0.

Data showing the movement of LinkedIn members across the world at the country, industry, and skill level.

This dataset is part of the LinkedIn - World Bank Group partnership, which helps governments and researchers understand rapidly evolving labor markets with detailed and dynamic insights. It allows leaders to benchmark and compare labor markets across the world; analyze skills, occupations, migration, and industries; and leverage real-time data to make policy changes.

Visualizations for many of these data are available at linkedindata.worldbank.org. The data cover 2015-2019, are refreshed on an annual basis, and are available for 140+ countries.

FieldValue
Modified Date
2020-08-17
Release Date
Periodicity
Annual
Identifier
cd984892-ca51-4610-8853-e0e3a4a858da
Temporal Coverage

2015 - 2019

License
License Not Specified
Contact Email
Public Access Level
Public
Rating: 
0
No votes yet
Type: 
Languages Supported: 
Time Periods: 
August, 2020
Number of Economies: 
160
Update Frequency: 
Is this dataset a subscription: 
No
Update Schedule: 
Data is refreshed every Spring for the previous calendar year. Data is also periodically updated in between refresh cycles.
Custom License Information: 

Aggregated datasets and visuals are available to the public under the Creative Commons Attribution 4.0 IGO license with attribution to both LinkedIn Corporation and the World Bank. The World Bank Group and LinkedIn Corporation (including its affiliates) do not take responsibility and are not liable for any damage caused through use of data and insights through this website, including any indirect, special, incidental or consequential damages.

Geographical Coverage: 
Data Classification of a Dataset: 
Source Type: 
Start Date: 
Thursday, January 1, 2015
End Date: 
Tuesday, December 31, 2019
DEC
Programatic Region: 
Unit of measure: 
Migration rate per 10,000 LinkedIn members
Organization: 
LinkedIn
Granularity: 
Statistical Concept and Methodology: 
A migration instance is defined as a LinkedIn member changing the location on their LinkedIn profile. Figures are normalized by LinkedIn member counts for each country, country-industry, and country-skill to enable fair comparisons across samples.
Citation Text: 
"Talent Migration Data" by World Bank Group & LinkedIn Corporation, licensed under CC BY 4.0.
Aggregation Method: 
Data is available at the country, country-industry, and country-skill level.
Modified date: 
99
License: 
Primary Dataset: 
Yes

Data Access and Licensing

This dataset is classified as Public under the Access to Information Classification Policy. Users inside and outside the Bank can access this dataset.

This dataset is available under a custom license. Your use of the dataset signals your agreement with the terms of the license.

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