zalizedata/us-residential-properties-sale-events-dataset

US Residential Properties & Sale Events (Government Records)

7M+ property and sale-event records from official county/city government sources — parcels, assessments and transaction histories, with city-level slices for Philadelphia and New York City.

Part of the DataForge Open Data program — full production packages, free for academic and personal use. Canonical dataset page: [https://data.zalize.com/datasets/us-residential-properties-sale-events-dataset](https://data.zalize.com/datasets/us-residential-properties-sale-events-dataset)

Formats & how to load

Native parquet (snappy) shards live under data/<table>/ and are rendered directly by the Dataset Viewer above. Original release zips (with CSV/JSONL copies, data dictionary, datasheet and QA report) are archived under archive/ and on <https://dl.zalize.com/open-data>.

# pandas
import pandas as pd
df = pd.read_parquet("hf://datasets/zalizedata/us-residential-properties-sale-events-dataset/data/properties/properties-00000-of-00001.parquet")

# polars (lazy, all shards)
import polars as pl
lf = pl.scan_parquet("hf://datasets/zalizedata/us-residential-properties-sale-events-dataset/data/properties/*.parquet")

# duckdb
import duckdb
rel = duckdb.sql("SELECT * FROM 'hf://datasets/zalizedata/us-residential-properties-sale-events-dataset/data/properties/*.parquet' LIMIT 10")

Archived zips: realestate-tier1-L-2026-08-02.zip, realestate-tier1-M-2026-08-02.zip, realestate-tier1-S-2026-08-02.zip

Packages in this repo

All files are also served from the machine-readable open-data index: <https://dl.zalize.com/open-data> (per-package URL: https://dl.zalize.com/open-data/<package_id>).

What you get

• —S — Philadelphia: 1,327,964 property and sale-event records
• —M — New York City: 1,423,038 records
• —L — Full pack: 7,009,514 records across covered jurisdictions
• —Data dictionary, datasheet and QA report included

Use cases

• —Comps and valuation models
• —Investment screening
• —Urban analytics
• —Mortgage and title research

Source & methodology

US county assessor / government property and sale-event records

Coverage, update cadence and the full field-level data dictionary are on the dataset page: https://data.zalize.com/datasets/us-residential-properties-sale-events-dataset (DATA-DICTIONARY.md and DATASHEET.md are inside each package zip).

License

CC BY-NC 4.0 (DataForge curated layer; academic/personal use, attribution + backlink required) — commercial use requires a DataForge commercial license. Upstream: US county/government property records (public records)

• —Academic / personal use: CC BY-NC 4.0 on the DataForge curated layer — attribution and a backlink to <https://data.zalize.com> are required.
• —Commercial use: requires a DataForge commercial license — contact us via the portal.
• —Upstream license terms continue to apply to the underlying data.

Citation

DataForge (data.zalize.com) — https://data.zalize.com/datasets/us-residential-properties-sale-events-dataset

DOI (Zenodo mirror): 10.5281/zenodo.21813358 · GitHub Release mirror: https://github.com/wookat/dataforge-pipelines/releases/tag/open-data-us-residential-real-estate

Usage

from datasets import load_dataset

ds = load_dataset("zalizedata/us-residential-properties-sale-events-dataset", "properties", split="train")
print(ds[0])

Available configs: properties, sale_events.

Related datasets

More DataForge open datasets in Macro, Trade, Energy & Real Estate:

• —Global Macro & Trade Indicators
• —China Macro & Trade Monthly Indicators — IMF/World Bank Basis
• —US Grid Hourly Operations & Power Plants (EIA)

Full catalog (25 datasets): <https://data.zalize.com/open-data> · all HF repos: <https://huggingface.co/zalizedata>