Dataset
sfd_housing_prices_november_2024
A point-in-time snapshot of single-family-home price records for November 2024 in CSV, tens of thousands of entries. Useful for housing-market analysis and cross-checks against other property-price series.
Data preview
Dataset card
The sfd_housing_prices_november_2024 dataset from neuronetties provides tabular listings of Russian residential property sales for November 2024, with price recorded in thousands of rubles. It is hosted on Hugging Face under an unstated license.
What this dataset contains
The dataset comprises 13,266 rows of structured tabular records describing individual housing listings. Price values are expressed in thousands of rubles, and the readme confirms that the author_type_id, location_id, and district_id columns are coded as index designations rather than descriptive text. The file is distributed in English and Russian, reflecting the dual-language tagging in the metadata.
Structure and fields
Each row contains eight int64 fields: author_type_id, location_id, district_id, floor, max_floor, rooms_count, total_meters, and price. Together these capture listing authorship category, geographic identifiers, vertical position within the building, room count, total living area in square meters, and the asking price in thousands of rubles. The dataset is provided as a single train split in CSV format.
How analysts use it
Analysts covering Russian real estate can use the price column alongside total_meters, rooms_count, and the floor and max_floor fields to model per-square-meter valuations across districts. The coded location_id and district_id fields allow aggregation into regional price indices once mapped to administrative boundaries. For macro or emerging-market funds, the dataset can serve as a sentiment proxy for retail housing demand in Russia during November 2024.
Documentation & references 1
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