World Bank Group - LinkedIn Digital Data for Development, Jobs, Skills, and Migration Trends

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UPDATE DEC 2018: WBG staffs please log in to access datasets.
UPDATE APR 2019: Please note that country-level skills penetration data is being test used by selected pilot projects at WBG. This data is more granular and at the occupation level for each country. If the risks of mis-interpretation and mis-use the data are low, these resources will be made more widely accessible

The LinkedIn and World Bank Group collaboration is a prime example of how technology companies can work with development institutions to bring new data and insights to developing countries to address pressing development challenges. The opportunities and challenges presented by the global economy requires the public and private sectors to join forces, share information, share resources, and work towards a common vision to make meaningful, positive and scalable impact.

The datasets presented here are ones that underlie the visuals at linkedindata.worldbank.org. The datasets cover four categories of metrics: 1) Industry Employment Shifts, 2) Talent Migration, 3) Industry Skills Needs, and 4) Skill Penetration. LinkedIn and the World Bank Group plan to refresh the data annually at a minimum. The datasets are annual time series and go back to 2015.

Each category of the metrics is provided in a separate file with a cover sheet listing the variables names, definitions, and caveats. Country coverage varies slightly between metrics because of different data extraction and quality control rules. Countries with at least 100,000 LinkedIn members are included in the datasets. If more countries cross this threshold in the future, new countries can be added during the annual refresh.

Please take note of the caveats of each metric as described on the cover page of datasets before interpreting the analytical results as these non-traditional datasets obtained through digital platforms have their unique characteristics resulting from different online user behaviors across countries.

Type: 
Time Series
Topics: 
Economic Growth
Education
Financial Sector Development
Information and Communication Technologies
Jobs
Private Sector Development
Economy Coverage: 
Blend
High Income
IBRD
IDA
Low Income
Lower Middle Income
Upper Middle Income
Languages Supported: 
English
Number of Economies: 
140
Geographical Coverage: 
Australia
Cambodia
China
Fiji
Hong Kong SAR, China
Indonesia
Japan
Korea, Rep.
Malaysia
Mongolia
Myanmar
New Zealand
Papua New Guinea
Philippines
Singapore
Taiwan, China
Thailand
Vietnam
Albania
Armenia
Austria
Azerbaijan
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Cyprus
Czech Republic
Denmark
Estonia
Finland
France
Georgia
Germany
Greece
Hungary
Iceland
Ireland
Italy
Kazakhstan
Latvia
Lithuania
Luxembourg
Macedonia, FYR
Moldova
Netherlands
Norway
Poland
Portugal
Romania
Serbia
Slovak Republic
Slovenia
Spain
Sweden
Switzerland
Turkey
Ukraine
United Kingdom
Uzbekistan
Argentina
Bahamas, The
Bolivia
Brazil
Chile
Colombia
Cuba
Dominican Republic
Ecuador
El Salvador
Guatemala
Haiti
Honduras
Jamaica
Mexico
Nicaragua
Panama
Paraguay
Peru
Puerto Rico
Trinidad and Tobago
Uruguay
Venezuela, RB
Algeria
Bahrain
Egypt, Arab Rep.
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.
Canada
United States
Afghanistan
Bangladesh
India
Pakistan
Nepal
Sri Lanka
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
Sudan
Tanzania
Togo
Uganda
Zambia
Zimbabwe
Custom License Information: 

The aggregated datasets and visuals are available to all for the public good under the Creative Commons Attribution 3.0 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.

GP & CCSAs: 
Trade & Competitiveness
Access Options:
Download
Temporal Coverage: 
2015 - 2018
Version Production Date: 
March 31, 2019

Update Frequency

Update Frequency: 
Annually
Release Date: 
April 1, 2019

Last Updated

Last Updated: 
April 1, 2019
Limitations and Exceptions: 
For detailed LinkedIn data limitations and caveats, please refer to the Methodology Report (http://documents.worldbank.org/curated/en/827991542143093021/Data-Insights-Jobs-Skills-and-Migration-Trends-Methodology-and-Validation-Results)
Statistical Concept and Methodology: 
For detailed methodology, please refer to the Methodology Report (http://documents.worldbank.org/curated/en/827991542143093021/Data-Insights-Jobs-Skills-and-Migration-Trends-Methodology-and-Validation-Results)
Subtitle: 
Jobs, Skills, and Migration Trends
Version Notes: 
Please note that this data is refreshed annually.
CSV

LinkedIn Industry to ISIC Rev. 4 Industry Mapping Reference

This file should be used as a reference for mapping detailed LinkedIn industry Name and ID (economic activity) according to the LinkedIn industry classification (approximately 2 digit ISIC Rev. 4 level) to ISIC Rev. 4 Industry classification (1 digit level).

Resource Type: Related Material Format: CSV
PDF

World Bank Group -LinkedIn Data Insights : Jobs, Skills and Migration Trends Methodology and Validation Results

World Bank Group -LinkedIn methodology report underlying the dashboard and metrics.

Citation:
Zhu, Tingting Juni; Fritzler, Alan; Orlowski, Jan Alexander Kazimierz. 2018. Data Insights : Jobs, Skills and Migration Trends Methodology and Validation Results (English). Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/827991542143093021/Data-Insigh...

Resource Type: Publication Format: PDF
"World Bank LinkedIn Digital Data for Development" by World Bank Group & LinkedIn Corporation, licensed under CC BY 3.0

UPDATE DEC 2018: WBG staffs please log in to access datasets.
UPDATE APR 2019: Please note that country-level skills penetration data is being test used by selected pilot projects at WBG. This data is more granular and at the occupation level for each country. If the risks of mis-interpretation and mis-use the data are low, these resources will be made more widely accessible

The LinkedIn and World Bank Group collaboration is a prime example of how technology companies can work with development institutions to bring new data and insights to developing countries to address pressing development challenges. The opportunities and challenges presented by the global economy requires the public and private sectors to join forces, share information, share resources, and work towards a common vision to make meaningful, positive and scalable impact.

The datasets presented here are ones that underlie the visuals at linkedindata.worldbank.org. The datasets cover four categories of metrics: 1) Industry Employment Shifts, 2) Talent Migration, 3) Industry Skills Needs, and 4) Skill Penetration. LinkedIn and the World Bank Group plan to refresh the data annually at a minimum. The datasets are annual time series and go back to 2015.

Each category of the metrics is provided in a separate file with a cover sheet listing the variables names, definitions, and caveats. Country coverage varies slightly between metrics because of different data extraction and quality control rules. Countries with at least 100,000 LinkedIn members are included in the datasets. If more countries cross this threshold in the future, new countries can be added during the annual refresh.

Please take note of the caveats of each metric as described on the cover page of datasets before interpreting the analytical results as these non-traditional datasets obtained through digital platforms have their unique characteristics resulting from different online user behaviors across countries.

Data Resources

FieldValue
Modified Date
2019-05-13
Release Date
Periodicity
Annual
Identifier
8d16aad2-ccff-4505-87f4-5d8f99391b67
Temporal Coverage

2015 - 2018

License
License Not Specified
Contact Email
Rating: 
0
No votes yet
Type: 
Languages Supported: 
GP & CCSAs: 
Number of Economies: 
140
Update Frequency: 
Is this dataset a subscription: 
No
Subtitle: 
Jobs, Skills, and Migration Trends
Custom License Information: 

The aggregated datasets and visuals are available to all for the public good under the Creative Commons Attribution 3.0 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.

Data Classification of a Dataset: 
Version Production Date: 
Sunday, March 31, 2019
Source Type: 
Start Date: 
Thursday, January 1, 2015
End Date: 
Monday, December 31, 2018
GFC
Programatic Region: 
Release Date: 
Monday, April 1, 2019
Last Updated Date: 
Monday, April 1, 2019
Granularity: 
Version Notes: 
Please note that this data is refreshed annually.
Statistical Concept and Methodology: 
For detailed methodology, please refer to the Methodology Report (http://documents.worldbank.org/curated/en/827991542143093021/Data-Insights-Jobs-Skills-and-Migration-Trends-Methodology-and-Validation-Results)
Citation Text: 
"World Bank LinkedIn Digital Data for Development" by World Bank Group & LinkedIn Corporation, licensed under CC BY 3.0
Limitations and Exceptions: 
For detailed LinkedIn data limitations and caveats, please refer to the Methodology Report (http://documents.worldbank.org/curated/en/827991542143093021/Data-Insights-Jobs-Skills-and-Migration-Trends-Methodology-and-Validation-Results)
Modified date: 
17986
License: 
Primary Dataset: 
Yes
Source: 

LinkedIn Corporation

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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