Wholesale Trade Gdp Value Added Data: Dataset Structure and Field Coverage

Value added is what a sector contributes to GDP: the value of what it sells minus the value of the goods and services it buys in order to sell. For distributors the distinction matters more than in almost any other industry, because a wholesaler's gross sales are dominated by merchandise it merely resells. In the US national accounts the sector is NAICS 42, and the official measure sits in the Bureau of Economic Analysis's industry economic accounts, cataloged here as GDP by Industry — Wholesale Trade. The dataset carries four measure families — value added, gross output, intermediate inputs and KLEMS productivity measures — with annual series back to 1947 and quarterly figures released alongside each quarterly GDP estimate; the Q1 2026 third estimate came out on 2026-06-25. Datadory scores it 9 out of 10, and the underlying data is US government commercial delivery terms.

Why quote value added rather than gross output? Gross output counts the full value of wholesale transactions — distributor margin plus the merchandise passing through — so it moves with commodity prices and pass-through volume. Value added strips out intermediate inputs, which is why it is the figure that sums into GDP and the one analysts use when they want the sector's weight in the economy rather than its turnover. The wholesale trade glossary entry covers the same distinction at the survey level.

Within this slice, BEA is the only source publishing the value-added measure itself. Eurostat and Statistics Canada publish the high-frequency sales series that sit upstream of it, and Data USA republishes the federal workforce and establishment counts for the same NAICS 42 sector. The table below is the shortlist.

Because the dataset is small tabular output — a few hundred rows per measure — the entire historical series fits in a single request, which is why it anchors most wholesale-sector macro models.

Yes — the KLEMS measures inside the same BEA record exist for exactly that, and they sit next to the value-added series rather than in a separate product. For the labor side, Wholesale Trade (NAICS 42) profile exposes 126 cubes through a free tesseract OLAP API covering employment, wages, establishments and demographics sliced by geography, occupation, gender and education: headline metrics for 2024, employment charts selectable from 2008, PUMS series verified from 2014 and establishment counts from 2022, with JSON, CSV, TSV, Parquet and XLSX outputs.

When the question crosses borders, WTO Stats frames the trade flows behind the distribution margin: country-pair by product by indicator series for merchandise trade, services, tariffs and market access from 1948 to 2026, annual with some series quarterly or monthly, exported as JSON, CSV or Excel through a free Timeseries API.