load_bolivia_grid
data.load_bolivia_grid()Load the Bolivia 0.25-degree grid cells (n=1603) PWT-anchored GDP panel.
The raw cells of the same product as :func:load_bolivia before any administrative aggregation: Rossi-Hansberg & Zhang (2026) gridded GDP under 0_05 censoring, rescaled to Penn World Table 11.0 national totals, 2012–2022, in 2021 PPP US$.
The source keys cells by the compound (cell_id, subcell_id, subcell_id_0_25); geometrics needs a single entity id shared between gdf and df, so the loader synthesizes cell as cell_id.subcell_id.subcell_id_0_25 and joins the geometry on the cells’ unique (longitude, latitude) centers.
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Returns
| Name | Type | Description |
|---|---|---|
| gdf | geopandas.GeoDataFrame | 1603 grid-cell polygons with columns ["cell", "geometry"], CRS EPSG:4326. |
| df | pandas.DataFrame | Balanced panel of 17633 rows (1603 cells x 11 years) with cell first, then every source column. Sorted by cell then year. |
| df_dict | pandas.DataFrame | Data dictionary with one row per df column, in df column order (cell is the sole entity-typed row; the three source key components are kept as factors). |
Raises
| Name | Type | Description |
|---|---|---|
| GeometricsDataError | If a source file cannot be downloaded or fails hash verification. |
See Also
load_bolivia : Province-level (ADM2, n=112) aggregation. load_bolivia_departments : Department-level (ADM1, n=9) aggregation.