Forecast Data Atlas

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Data Share Description:

Forecast Data Atlas

Data Share Frequency: Daily
Data Share Category: Economy
Data Share Type: Open
Data Share Date Added: January 1, 2021
Data Share Status: ACTIVE
Data Share Email Contact: info@knoema.com
Data Share Usage Example Q1: What is the expected average temperature in Germany in 2100?
Data Share Usage Example SQL1 Last Tested: January 1, 1970

Data Share Overview:

The Forecast Data Altas gives you access to comprehensive data resources on the future of the world’s development that help shape socio-economic scenarios and forecasts, and build hypotheses on future quality of human capital, demographic trends, climate change, labor market conditions, government finance, energy demand, and long-term growth trajectories. Topics covered: – GDP projections – Demographic projections – Energy outlook – Labor market outlook – Agricultural outlook – Climate change Datasets include: – UN DESA World Population Prospects – OECD Agricultural Outlook – BLS National Employment Matrix – ILO Employment by Economic Activity – CBO Long-Term US Budget Projections – 100+ others Please see reference table FORECAST.DATASETS that includes the list of all tables/datasets included in this listing, with key details on each table/dataset including name, source, frequency of refresh, source, documentation on data, etc. Fields include: – Population – Education attainment – Urbanization – Per capita food demand – Water stress ranking Sources include IMF, UN DESA, World Bank, OECD, BLS, Eurostat, FAO, bp, ILO, Congressional Budget Office (CBO), The White House (WH), World Resource Institute (WRI), Barro-Lee, World Steel Association (WSA). Datasets are updated within 1-7 days of the most recent data being made available by the underlying reporter. More detail on each of the datasets, fields, and sources included in the share can be found at the link in our documentation. Use cases – Estimating long-term demographic trends – Forecasting agriculture and food products demand potential – Assessing changes in countries’ climate conditions

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