StatOrigin industry statistics
Industries Indicators Sources API Methodology

Every number, back to its origin.

StatOrigin is a free, open database of industry statistics. Each figure carries the publisher, the report, the page, and a working link to the original, so you can check it rather than trust it.

No sign-up needed Every figure links to its source Free to cite, including commercially

Verified data points
480
Indicators
395
Primary sources
47
Coverage
2010–2030

16 regions · updated 15 September 2026 · CC BY 4.0

Verified · SIA
146.8 billion
USD
Global semiconductor monthly sales · Global, July 2026
“The Semiconductor Industry Association (SIA) today announced global semiconductor sales were $146.8 billion during the month of July 2026, an increase of 6.4% compared to the June 2026 total of $137.9 billion and 135.1%…”
Global Semiconductor Sales Increase 6.4% Month-to-Month in July Open the full record

The difference

The same number, two ways

Left is how most of the internet hands you a figure. Right is the only version you can put your name under.

A number, as usually seen
110.5 billion
USD

Global semiconductor monthly sales · Global, April 2026

No quote No publisher No link

If it is wrong, nothing tells you.

The same figure, here
110.5 billion
USD

Global semiconductor monthly sales · Global, April 2026

“The Semiconductor Industry Association (SIA) today announced global semiconductor sales were $110.5 billion during the month of April 2026, an increase of 11% compared to the Marc…”

SIA, Global Semiconductor Sales Increase 11% Month-to-Month in April

Check it yourself

The dataset

Industries

Data for 4 industries. 3 have a full hub page; the rest publish their data through the API until they reach the quality bar: at least 50 verified data points from five or more primary sources.

Method, in four steps

How a number gets published

Nothing enters the dataset automatically, and nothing is published without its provenance. The pipeline is short on purpose.

  1. Discover

    Candidate figures are collected from primary publications: statistical offices, industry associations, regulators.

  2. Extract

    The value, the verbatim sentence, and the page or table it appears on are captured together or not at all.

  3. Verify

    An automated check confirms the quote actually contains the figure. Anything that fails is held back, never published.

  4. Review

    A human decides what enters the dataset, and every record carries who or what verified it.

Read the full methodology

Why this exists

Built to be cited, not just read

Provenance, not aggregation

Most statistics sites repeat numbers without saying where they came from. We record the publisher, the report, the publication date, the page or table, the verbatim sentence, and the date we checked the link.

The numbers are never paywalled

Everything visible on a page is free and crawlable. If we ever charge, it will be for bulk export and high API quotas, never for seeing the figure itself: a hidden number cannot be cited.

Disagreement is recorded, not smoothed

When two sources publish different values for the same indicator, region and period, both are kept and the conflict is shown on the record. Averaging them away would be a lie of omission.

Machine-readable by default

Structured data on every page, an open REST API, and a permissive licence. If you are building something that needs industry numbers, we would rather you take them from here than guess.

For builders

API

Free, CORS-open, and every response carries the full citation. No key needed for the first 1,000 calls a day. 

curl "https://statorigin.org/api/v1/statistics?industry=electric-vehicles&region=CN&year=2020..2026&limit=5"
Read the docs OpenAPI 3.1 llms.txt