The goal of ineAtlas package is to provide easy access to granular socioeconomic indicators from the Spanish Statistical Office (INE) Atlas de Distribución de Renta de los Hogares (Household Income Distribution Atlas). This dataset combines administrative tax data with population statistics to provide detailed information about income distribution and related socioeconomic indicators across Spain.
The data is organized into several categories and is available at three geographic levels:
- Municipality (Municipio)
- District (Distrito)
- Census tract (Sección censal)
| Dataset | Description |
|---|---|
| Income | Income indicators including net/gross (equivalised) income per capita |
| Income sources | Income indicators by source (wages, pensions, benefits, etc.) |
| Demographics | Population characteristics including age structure and household composition |
| Distribution by sex | Income distribution indicators disaggregated by sex |
| Distribution by sex and age | Income distribution indicators by sex and age categories |
| Distribution by sex, age and nationality | Income distribution indicators by sex and nationality status |
| Inequality indicators | Inequality metrics including Gini coefficient and P80/P20 ratio |
All the data is stored in the accompanying ineAtlas.data repository. You can find the data dictionary and more information about the data structure at https://pablogguz.github.io/ineAtlas.data.
You can install the development version of ineAtlas from GitHub with:
# install.packages("pak")
pak::pak("pablogguz/ineAtlas")Here's a basic example of fetching census tract-level income data:
library(ineAtlas)
# Get municipality-level income data
income_data <- get_atlas("income", "tract")
# View the first few rows
head(income_data)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