# bulgaria 74,567 polygons from `bulgaria-latest.osm.pbf` on Geofabrik ([source](https://download.geofabrik.de/europe/bulgaria.html)), filtered by the [22,075-tag whitelist](https://github.com/NoeFlandre/osm-stats) and classified by continent + size bin. | field | value | |-------|-------| | country | `bulgaria` | | polygons | **74,567** | | extract_status | **clean** | | pbf_date | 2026-06-26 | | source | `bulgaria-latest.osm.pbf` | | Geofabrik extract | | ## Geometry The parquet file in this folder (`bulgaria.parquet`) has the same schema as the combined `combined/all_world.parquet`. Each row carries the polygon **geometry as WKT** (default), plus centroid + area + the whitelist-matched tag. Load with: ```python import pyarrow.parquet as pq table = pq.read_table("per_country/bulgaria/bulgaria.parquet") df = table.to_pandas() # df["geometry_wkt"] is a column of WKT strings; parse with shapely.wkt.loads ``` ## Notes Sofia, Plovdiv, and the Black Sea coast have dense landuse and building footprints; mountain areas (Rila, Pirin, Rhodopes) are better-mapped for hiking.