subincomeR
is an R package providing tools for accessing
and analyzing the MCC-PIK Database Of Sub-national Economic Output (DOSE).
DOSE is a comprehensive global dataset of sub-national income covering
over 1,600 regions across 83 countries from 1960 to 2020, compiled from
official statistical agencies, yearbooks, and academic sources.
DOSE provides data at the first administrative level (GADM-1), which includes subnational divisions like states, provinces, or regions. GADM (Global Administrative Areas Database) is a spatial database of the world’s administrative boundaries, providing a standardized system for defining administrative divisions across countries. For example, GADM-1 corresponds to states in the United States, départements in France, or provinces in China. The dataset is available for download at Zenodo. You can find all the documentation and metadata in Wenz et al. (2023).
# install.packages("pak")
pak::pak("pablogguz/subincomeR")
# Load the complete dataset
<- getDOSE()
data
# Load data for specific years
<- getDOSE(years = 2019)
data_2019
# Match coordinates to regions
<- matchDOSE(
matched_data lat = c(19.4326, 51.5074),
long = c(-99.1332, -0.1276)
)
Contributions are welcome! Please feel free to submit a pull request. For major changes, please open an issue first to discuss what you would like to change.
Pablo García Guzmán
EBRD
Wenz, L., Carr, R.D., Kögel, N. et al. (2023). DOSE – Global data set of reported sub-national economic output. Scientific Data, 10, 425. https://doi.org/10.1038/s41597-023-023
Wenz, L., Kotz, M., Kalkuhl, M., Carr, R., Kögel, N., Giesen, C., Reckwitz, A., Wedemeyer, J., & Ziegler, K. (2024). DOSE - Global dataset of reported subnational economic output [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13773040