| ---
|
| license: other
|
| pretty_name: US Input-Output Accounts (BEA)
|
| tags:
|
| - input-output
|
| - supply-use
|
| - national-accounts
|
| - united-states
|
| configs:
|
| - config_name: supply_detail
|
| data_files: datasets/bea_supply_detail/data/*.parquet
|
| - config_name: supply_sector
|
| data_files: datasets/bea_supply_sector/data/*.parquet
|
| - config_name: supply_summary
|
| data_files: datasets/bea_supply_summary/data/*.parquet
|
| - config_name: use_detail
|
| data_files: datasets/bea_use_detail/data/*.parquet
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| - config_name: use_sector
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| data_files: datasets/bea_use_sector/data/*.parquet
|
| - config_name: use_summary
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| data_files: datasets/bea_use_summary/data/*.parquet
|
| license_name: public-domain
|
| license_link: https://www.bea.gov/help/faq/125
|
| ---
|
|
|
| # US Input-Output Accounts (BEA)
|
|
|
| The US supply and use tables -- which industries make which commodities, and who consumes them -- at three levels of industry detail. Annual 1997-2023 at the Sector and Summary levels, plus the 2017 Detail benchmark.
|
|
|
| ## Terms
|
|
|
| - **Licence**: public domain (US federal government work) (https://www.bea.gov/help/faq/125)
|
| - **Attribution**: Source: U.S. Bureau of Economic Analysis
|
| - **Cite as**: U.S. Bureau of Economic Analysis, Input-Output Accounts Data, 2024-12 release.
|
| - **Source**: https://www.bea.gov/itable/input-output
|
|
|
| Redistributed by OptimalSolution LLC -- see `DISCLAIMER.md`. Redistribution only: no responsibility for the content, no endorsement or position, no affiliation with the publisher, no warranty. What was changed from the published data is recorded per dataset under `bank.modifications` and `bank.changes`.
|
|
|
| ## Datasets
|
|
|
| | dataset | rows | coverage |
|
| |---|---|---|
|
| | `bea_supply_sector` | 7,142 | 1997-2023 |
|
| | `bea_supply_summary` | 41,740 | 1997-2023 |
|
| | `bea_supply_detail` | 30,294 | 2007, 2012, 2017 |
|
| | `bea_use_sector` | 12,665 | 1997-2023 |
|
| | `bea_use_summary` | 121,974 | 1997-2023 |
|
| | `bea_use_detail` | 159,538 | 2007, 2012, 2017 |
|
|
|
| ## Read this before you aggregate
|
|
|
| - **Both axes carry their own totals.** `T007`, `T017`, `T001`, `T005`, `T013`-`T019`, `VABAS` and `VAPRO` are sums of other cells in the same table. Summing an axis without filtering `*_is_derived` double-counts. The manifest's `default_filter` drops them.
|
| - **Not every non-industry code is a total.** Final uses (`F*`), value added (`V001`, `V003`, the tax and subsidy rows), margins (`Trade`, `Trans`), taxes (`TOP`, `SUB`, `MDTY`) and imports (`MCIF`, `MADJ`) are real content, not aggregates. Filter on `*_kind`, not on 'is it in the scale'.
|
| - **The published Sector tables are coarser than BEA's own Sector column.** They merge manufacturing (`31ND`+`33DG` into `31G`), finance (`52`+`53` into `FIRE`), professional services (`54`+`55`+`56` into `PROF`), education and health (`61`+`62` into `6`) and arts and hospitality (`71`+`72` into `7`). The scale carries both as `sector` and `naics_sector`; the build checks the merge numerically against the data.
|
| - **The Sector and Summary tables differ in their final-demand columns too.** Sector uses `F020` and `F100`; Summary carries their components. Both are flagged, but they are not interchangeable.
|
| - **Suppressed cells are dropped, not zeroed.** BEA writes `...` where a cell is not published; those rows are absent.
|
| - **The Detail benchmarks spell the account codes differently.** They pad to six characters (`F01000` for `F010`, `V00100` for `V001`) and upper-case the margins (`TRADE`, `TRANS`). Codes are stored as published, so a join across levels on the literal code will miss them; `commodity_kind` and `industry_kind` are level-independent and are the safe thing to filter on.
|
| - **`Other` and `Used` are commodities only.** Noncomparable imports, the rest-of-the-world adjustment, scrap and secondhand goods appear on the commodity axis with no matching industry.
|
|
|
| ## Using it
|
|
|
| ```r
|
| library(arrow); library(dplyr)
|
| d <- read_parquet("datasets/bea_use_summary/data/part-0.parquet")
|
|
|
| # The core use matrix for one year, totals excluded.
|
| d |>
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| filter(year == 2023, !commodity_is_derived, !industry_is_derived,
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| commodity_kind == "commodity", industry_kind == "industry") |>
|
| select(commodity, industry, value)
|
| ```
|
|
|
|
|
