Glossary

value added

value added is measures an industry's contribution to GDP — gross output minus intermediate inputs; GDP by Industry records "value added, gross output, intermediate inputs and KLEMS measures for US wholesale trade (NAICS 42)". In Datadory's catalog of 1,744 datasets, GDP by Industry and BEA coverage are working examples.

What is value added?

Value added measures an industry's contribution to GDP — gross output minus intermediate inputs.

BEA's industry economic accounts publish it for US wholesale trade (NAICS 42) annually back to 1947 and quarterly alongside each GDP estimate.

In this catalog it appears concretely: - GDP by Industry — "value added, gross output, intermediate inputs and KLEMS measures for US wholesale trade (NAICS 42)". - BEA coverage — "Annual series back to 1947 in the industry accounts; quarterly series released with each quarterly GDP estimate".

BEA coverage is the second reference point worth knowing: "Annual series back to 1947 in the industry accounts; quarterly series released with each quarterly GDP estimate". Reading the two together shows how much variation sits underneath one shared label.

Why does value added matter when choosing a dataset?

A table is only as good as the column you actually need. If this field is absent, sparsely populated or defined inconsistently across rows, no amount of surrounding richness rescues the analysis, so it deserves its own line in your evaluation checklist.

The failure mode is concrete: a source can carry the value added label while differing from what you need on exactly the dimension that matters — value added, gross output, intermediate inputs and KLEMS measures for US wholesale trade (NAICS 42). Comparing two sources on that line usually settles the choice faster than any feature matrix.

You rarely have to take a vendor's word for it. 82.4% of the 1,744 datasets Datadory catalogs are free to access, and GDP by Industry lets you inspect the real artifact before any budget is committed.

How do you evaluate value added in a data source?

Treat every claim of this attribute as testable:

  1. Open GDP by Industry and confirm its record — "value added, gross output, intermediate inputs and KLEMS measures for US wholesale trade (NAICS 42)" — against the files you actually receive. 2. Open BEA coverage and confirm its record — "Annual series back to 1947 in the industry accounts; quarterly series released with each quarterly GDP estimate" — against the files you actually receive. 3. Pin down update cadence in writing.

Adjacent concepts worth reading next: - naics - Wholesale trade (NAICS 424)

Frequently asked questions

What is an example of value added?

GDP by Industry is the clearest example in this catalog. Its record states: "value added, gross output, intermediate inputs and KLEMS measures for US wholesale trade (NAICS 42)". Across all 1,744 datasets Datadory averages a quality score of 7.81 out of 10, so a named example can be weighed rather than trusted blindly.

Is data described as "value added" free to use?

Treat access and permission separately. 82.4% of the 1,744 datasets in this catalog are free to access, but 235 are freemium and 61 are paid outright, so confirm both the price and the license on the exact distribution before building on it.

How do I verify a source really provides value added?

Open GDP by Industry next to BEA coverage and compare the promise with the download. Field definitions are verified for 1495 of 1,744 datasets (85.7%), which makes that check fast inside the catalog and manual outside it.

Datasets containing this field

Datasets containing value added

6 datasets carry value added in the catalog. Open one, count the fields, judge for yourself.

Datasets

BIS CPMI Red Book Statistics — Retail Payments, Currency and FMIs

FREQ · REP_CTY · MEASURE …+12 more

Datasets

Companies House — Bulk Company Data (UK, SIC 46 Wholesale)

CompanyName · CompanyNumber · CompanyCategory …+17 more

Industries

data.europa.eu - EU Open Data Portal (Wholesale)

Title · Description · Country …+7 more

Datasets

data.gov — US federal open data catalog (wholesale trade)

title · organization · description …+5 more

Trading Companies & Distributors

Traffic Settled in the TARGET Services — ECB Monthly Statistics

Datasets

Federal Reserve Payments Study – U.S. Noncash Payments Volumes and Trends

Noncash payment type · Number · Value …+6 more

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