Knoema: Global Labor Data Pack
ENTERPRISE PACK: 340M time series on national and subnational Labor related indicators from 150+ sources.
The Knoema Global Labor Data Pack provides access to labor data for enterprises seeking to streamline the ingestion, maintenance, and delivery of public labor related indicators. It includes 340M time series on labor from national and international sources, covering indicators such as Population by Age and Gender, Labor Force Participation, Migration, Employment Environment by Industry, Occupation and Education Attainment and other Labor related indicators.
All the global labor data is ingested and curated by Knoema. The Global Labor Data for Nation States Data Pack comes from public sources, including international organizations, national sources and research institutions..
The list of time series is organized into five major topics that enable quick and easy access to the indicator of interest:
– Labor Force and Migration
– Unemployment and Jobs Statistics
– Institutional Environment
– U.S. Weekly Unemployment Insurance Data
– American Community Survey 5 Year Estimates: Economic Characteristics
– Youth employment-to-population ratio
– Employment distribution by economic activity
– Population estimates and projections
– Proportion of children engaged in economic activity
– 1700+ others (please see reference table DATASETS for the list of all tables/datasets included in this listing, including key details on each table/dataset such as name, source, frequency of refresh, documentation on data, etc.)
– Labor Force
– Number of Persons Employed by Economic Activity
– Unemployment Rate
– Average Monthly Wage
– Labor Migration
Sources include the Eurostat, International Labor Organization, Organisation for Economic Co-operation and Development, U.S. Census Bureau, U.S. Bureau of Labor Statistics, U.S. Department of Labor, UN Economic Commission for Europe, World Bank and many others. Datasets are updated within 1-7 days of new data being published by the data provider. More detail on each of the datasets, fields, and sources included in the data pack can be found at the link in our documentation.
Analyzing Long-Term Trends in in the Labor Force:
– Which countries have potential to increase the labor force by involving a larger proportion of women?
– Which countries can benefit from a demographic dividend in the next decade?
– What is the contribution of international migrants to the growth of labor force in the US and Europe?
Short-Term Labor Market Analysis:
– How fast have labor markets in emerging economies recovered compared to developed countries?
– How has the second COVID-19 wave affected labor markets in BRICs?
Looking at the Future of Jobs:
– What proportion of jobs can be automated by 2030?
– How does labor productivity depend on the number of installed industrial robots?
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