Employment Growth | LinkedIn Data

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Data that captures industry and country-specific employment growth based on updates to LinkedIn member profiles.

This dataset is part of the LinkedIn - World Bank partnership, which helps governments and researchers understand rapidly evolving labor markets with detailed and dynamic data. 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.

Additional experimental data is available by request via the Development Data Partnership.

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

Aggregated datasets and visuals are available 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
Information and Communication Technologies
Jobs
Private Sector Development
Public-Private Partnerships
Social Protection and Labor
Granularity: 
Geographical Coverage: 
World
East Asia & Pacific
Australia
Cambodia
China
Guam
Hong Kong SAR, China
Indonesia
Japan
Kiribati
Korea, Dem. People's Rep.
Korea, Rep.
Lao PDR
Macao SAR, China
Malaysia
Micronesia, Fed. Sts.
Mongolia
Myanmar
Nauru
New Caledonia
New Zealand
Niue
Palau
Papua New Guinea
Philippines
Samoa
Singapore
Taiwan, China
Thailand
Timor-Leste
Tonga
Tuvalu
Vanuatu
Vietnam
Europe & Central Asia
Albania
Andorra
Armenia
Austria
Azerbaijan
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Cyprus
Czech Republic
Denmark
Estonia
Finland
France
Georgia
Germany
Greece
Hungary
Iceland
Ireland
Isle of Man
Italy
Kazakhstan
Kosovo
Latvia
Liechtenstein
Lithuania
Luxembourg
Moldova
Monaco
Montenegro
Netherlands
North Macedonia
Norway
Poland
Portugal
Romania
San Marino
Serbia
Slovak Republic
Slovenia
Spain
Sweden
Switzerland
Tajikistan
Turkey
Turkmenistan
Ukraine
United Kingdom
Uzbekistan
Latin America & Caribbean
Argentina
Bahamas, The
Barbados
Belize
Bolivia
Brazil
Chile
Costa Rica
Colombia
Cuba
Dominica
Dominican Republic
Ecuador
El Salvador
Grenada
Guatemala
Guyana
Haiti
Honduras
Jamaica
Mexico
Nicaragua
Panama
Paraguay
Peru
Puerto Rico
St. Kitts and Nevis
Suriname
Trinidad and Tobago
Uruguay
Venezuela, RB
Middle East & North Africa
Algeria
Bahrain
Egypt, Arab Rep.
Djibouti
Iraq
Iran, Islamic Rep.
Israel
Jordan
Kuwait
Lebanon
Libya
Malta
Morocco
Oman
Qatar
Saudi Arabia
Syrian Arab Republic
West Bank and Gaza
United Arab Emirates
Tunisia
Yemen, Rep.
North America
Bermuda
Canada
United States
South Asia
Afghanistan
Bangladesh
Bhutan
India
Pakistan
Nepal
Sri Lanka
Sub-Saharan Africa
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo, Dem. Rep.
Congo, Rep.
Côte d'Ivoire
Ethiopia
Eritrea
Equatorial Guinea
Gabon
Gambia, The
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mozambique
Namibia
Niger
Nigeria
Reunion
Rwanda
São Tomé and Principe
Seychelles
Senegal
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Eswatini
Tanzania
Togo
Uganda
Zambia
Zimbabwe
Economy Coverage: 
High Income
Low Income
Lower Middle Income
Upper Middle Income
Number of Economies: 
203
Periodicity: 
Annual
Temporal Coverage: 
2015 - 2019

Update Frequency

Update Frequency: 
Annually
Source Type: 
Statistical Concept and Methodology: 
Growth from Industry Transitions: This metric looks at how LinkedIn members are moving across industries (based on net transition: in minus out). For example, if a net of 50 members joined a Biotech industry with 1,000 members in a particular country after leaving jobs in other industries, that Biotech industry would have grown by 5% due to transitions in that year. We calculate these rates across all industries on an annual basis, and report an average of the last three years. The sample of LinkedIn members is limited to those that have a company registered on LinkedIn on their profile.
Organization: 
LinkedIn Corporation
Time Periods: 
August, 2020

No Visualizations Available.

"Employment Growth Data" by World Bank Group & LinkedIn Corporation, licensed under CC BY 4.0

Data that captures industry and country-specific employment growth based on updates to LinkedIn member profiles.

This dataset is part of the LinkedIn - World Bank partnership, which helps governments and researchers understand rapidly evolving labor markets with detailed and dynamic data. 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.

Additional experimental data is available by request via the Development Data Partnership.

FieldValue
Modified Date
2020-08-17
Release Date
Periodicity
Annual
Identifier
4e0074eb-4875-426e-a542-1e6ef16dbf55
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: 
203
Update Frequency: 
Custom License Information: 

Aggregated datasets and visuals are available 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: 
Organization: 
LinkedIn Corporation
Granularity: 
Statistical Concept and Methodology: 
Growth from Industry Transitions: This metric looks at how LinkedIn members are moving across industries (based on net transition: in minus out). For example, if a net of 50 members joined a Biotech industry with 1,000 members in a particular country after leaving jobs in other industries, that Biotech industry would have grown by 5% due to transitions in that year. We calculate these rates across all industries on an annual basis, and report an average of the last three years. The sample of LinkedIn members is limited to those that have a company registered on LinkedIn on their profile.
Citation Text: 
"Employment Growth Data" by World Bank Group & LinkedIn Corporation, licensed under CC BY 4.0
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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