Qipudata
San Francisco · v0.7.1
qipu data›San Francisco›Datasets›block_points

Block points

block_pointsrelease v0.7.1CC0 1.0

About

One point per assessor block (the map's block index), for fast lookups.

How far to trust it
The release passed its automatic checks before it was published (what is checked). A hand check by the editor of qipu data is under way: 36 of 38 items checked so far were right, on votes, money, places and the map. A row says what the record states; the scanned page is the authority. Details
Licence
CC0 1.0: use it for anything, no permission needed. The scans and other sources keep their own rights.
Version
v0.7.1, published 21 October 2026. A published release is never changed; corrections come as a new release.
Technical details
Table
block_points
Rows
5,102
Columns
4
Parquet
block_points.parquet, < 0.1 MB
Version
v0.7.1, 21 October 2026
Licence
CC0 1.0. Sources keep their own rights.

Method and accuracy

No accuracy measure for this table yet.

The release passed its automatic checks before it was published (what is checked). A hand check by the editor of qipu data is under way: 36 of 38 items checked so far were right, on votes, money, places and the map. A row says what the record states; the scanned page is the authority.

Methodology · Accuracy

Columns 4

ColumnTypeCan be emptyPrivacyPublic copyDescription
blockVARCHARyesnoneas isassessor block number
Can be empty yes · Privacy none · Public copy as is
latDOUBLEyesnoneas isa point inside the block
Can be empty yes · Privacy none · Public copy as is
lonDOUBLEyesnoneas isa point inside the block
Can be empty yes · Privacy none · Public copy as is
hood_idVARCHARyesnoneas isthe neighbourhood place id
Can be empty yes · Privacy none · Public copy as is

Privacy: what kind of text the column holds. Public copy: what the published file does with it; the embargo covers records after 1951.

Preview

Eight rows sampled at build time. Hover a shortened value for all of it.

Download

FormatFileSize
Parquetblock_points.parquet ↗< 0.1 MB
SQLite (all tables)qipu_sf.db ↗6.44 GB

SQL

SELECT * FROM block_points LIMIT 100

Run in the SQL console (DuckDB in the browser, over the Parquet file).

Python

import duckdb duckdb.sql("SELECT * FROM 'https://tiles.qipu.org/data/releases/v0.7.1/parquet/block_points.parquet' LIMIT 5").show()