Qipudata
San Francisco · v0.7.1

Consumer price index, United States

cpi_usrelease v0.7.1CC0 1.0

About

Vocabulary: the US consumer price index by year (1982-84 = 100), used to state amounts in 2026 dollars (scripts/18_cpi.py). BLS CPI-U U.S. city average, annual averages 1913-2025, and 2026 from the latest month; 1800-1912 Minneapolis Fed estimates linked at 1913 (quality estimate).

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
cpi_us
Rows
227
Columns
7
Parquet
cpi_us.parquet, < 0.1 MB
Version
v0.7.1, 21 October 2026
Licence
CC0 1.0. Sources keep their own rights.

Rows

Rows by series

Rows by quality

ValueRowsShare
official11450.2%
estimate11349.8%

Rows by source_url

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 7

ColumnTypeCan be emptyPrivacyPublic copyDescription
yearBIGINTnononeas isThe year.
Values 1800..2030
Can be empty no · Privacy none · Public copy as is
cpiDOUBLEnononeas isThe index value for the year.
Values index (see base); 0..
Can be empty no · Privacy none · Public copy as is
baseVARCHARyesnoneas isThe index base (1982-84=100).
Can be empty yes · Privacy none · Public copy as is
seriesVARCHARyesnoneas isThe series the value comes from.
Can be empty yes · Privacy none · Public copy as is
qualityVARCHARyesnoneas isofficial (BLS annual average), estimate (before 1913, linked), provisional (the current year from its latest month).
Values official, estimate, provisional
Can be empty yes · Privacy none · Public copy as is
source_urlVARCHARyesnoneas isWhere the number was taken from.
Can be empty yes · Privacy none · Public copy as is
noteVARCHARyescatalogue textas isHow the value was derived (rebasing, the month used).
Can be empty yes · Privacy catalogue text · 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

yearcpibaseseriesqualitysource_urlnote
181116.66671982-84=100Minneapolis Fed CPI 1800- (estimate), linked at 1913estimateminneapolisfed.o…rice-index-1800- ↗1967=100 value 50.0 x 0.3333
182511.33331982-84=100Minneapolis Fed CPI 1800- (estimate), linked at 1913estimateminneapolisfed.o…rice-index-1800- ↗1967=100 value 34.0 x 0.3333
183010.66671982-84=100Minneapolis Fed CPI 1800- (estimate), linked at 1913estimateminneapolisfed.o…rice-index-1800- ↗1967=100 value 32.0 x 0.3333
18569.01982-84=100Minneapolis Fed CPI 1800- (estimate), linked at 1913estimateminneapolisfed.o…rice-index-1800- ↗1967=100 value 27.0 x 0.3333
186913.33331982-84=100Minneapolis Fed CPI 1800- (estimate), linked at 1913estimateminneapolisfed.o…rice-index-1800- ↗1967=100 value 40.0 x 0.3333
18889.01982-84=100Minneapolis Fed CPI 1800- (estimate), linked at 1913estimateminneapolisfed.o…rice-index-1800- ↗1967=100 value 27.0 x 0.3333
194114.71982-84=100BLS CPI-U CUUR0000SA0 annual averageofficialdownload.bls.gov….data.1.AllItems ↗—
194824.11982-84=100BLS CPI-U CUUR0000SA0 annual averageofficialdownload.bls.gov….data.1.AllItems ↗—

Eight rows sampled at build time, from the years up to 1951. Hover a shortened value for all of it.

Download

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

SQL

SELECT * FROM cpi_us 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/cpi_us.parquet' LIMIT 5").show()