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Subnational GRP and Sectoral Output
Data Science and Analytics
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About
Reports the economic output of subnational regions across 83 countries over six decades. The dataset spans the years 1960 to 2020, offering yearly values for the total economic output and disaggregated sectoral output, including agriculture, manufacturing, and services. The integrity of the data is maintained by sourcing information exclusively from reliable authorities such as statistical agencies and academic literature, ensuring no reliance on interpolated figures.
Columns
The data features 35 distinct fields. Key columns include geographical and temporal identifiers, economic metrics, and conversion factors:
- country, region: Name of the country and the subnational region.
- GID_0, GID_1: Geographic identifiers for the country and region, respectively.
- year: The observation year, spanning 1960 to 2020.
- pop: Population of the subnational region.
- grp_lcu: Total economic output (Gross Regional Product) in local current currency units.
- grp_pc_lcu, grp_pc_usd: Gross Regional Product per capita in local currency (current prices) and US dollars (current prices).
- ag_grp_pc_lcu, man_grp_pc_lcu, serv_grp_pc_lcu: Sectoral economic output per capita for agriculture, manufacturing, and services in local currency units.
- grp_pc_usd_2015, ag_grp_pc_usd_2015, man_grp_pc_usd_2015, serv_grp_pc_usd_2015: Economic output per capita and sectoral output per capita, fixed to 2015 US dollar prices.
- cpi_2015, deflator_2015: Consumer Price Index and GDP Deflator data referenced to 2015.
- fx: Foreign exchange rate.
- PPP: Purchasing Power Parity indicator.
- StructChange: A metric indicating structural economic change.
Distribution
The information is provided in a tabular format, typically supplied as a CSV file named
DOSE_V2.csv. The file size is 14.61 MB. It contains approximately 46,800 records in total, spanning 35 columns of detailed data. There are no anticipated future updates, as the expected update frequency is listed as 'Never'.Usage
This resource is ideal for various applications in data analytics, social science, and economic research. It supports detailed analysis of regional economic convergence and divergence, monitoring long-term shifts in sectoral composition (e.g., industrialisation or shift to services), and calibrating models that require fine-grained, longitudinal subnational economic indicators.
Coverage
The geographical scope encompasses 1,661 specific subnational regions across 83 different countries worldwide. The temporal coverage ranges from 1960 through to 2020. The dataset focuses primarily on economic output data but also includes related indicators such as population and price indices for robustness.
License
CC BY-SA 4.0
Who Can Use It
The dataset is highly valuable for academic researchers, particularly those focused on macroeconomics, regional studies, and development economics. It is also suitable for government agencies and policy analysts requiring detailed historical data on regional growth, as well as data journalists crafting narratives around global economic shifts.
Dataset Name Suggestions
- Subnational Economic Output Database
- Global Regional Economic Indicators 1960-2020
- Subnational GRP and Sectoral Output
- DOSE Regional Economic Data
Attributes
Original Data Source: Subnational GRP and Sectoral Output
QUALITY