| ---
|
| license: cc-by-4.0
|
| pretty_name: FIGARO
|
| tags:
|
| - input-output
|
| - supply-use
|
| - national-accounts
|
| - footprints
|
| - europe
|
| - global
|
| configs:
|
| - config_name: energy_footprints
|
| data_files: datasets/figaro_energy_footprints/data/*.parquet
|
| - config_name: fgde
|
| data_files: datasets/figaro_fgde/data/**/*.parquet
|
| - config_name: fgdee
|
| data_files: datasets/figaro_fgdee/data/**/*.parquet
|
| - config_name: fgdem
|
| data_files: datasets/figaro_fgdem/data/*.parquet
|
| - config_name: fgdf
|
| data_files: datasets/figaro_fgdf/data/*.parquet
|
| - config_name: fgdfe
|
| data_files: datasets/figaro_fgdfe/data/*.parquet
|
| - config_name: fgdfef
|
| data_files: datasets/figaro_fgdfef/data/*.parquet
|
| - config_name: fgdfi
|
| data_files: datasets/figaro_fgdfi/data/*.parquet
|
| - config_name: fgdm
|
| data_files: datasets/figaro_fgdm/data/*.parquet
|
| - config_name: fgfd
|
| data_files: datasets/figaro_fgfd/data/*.parquet
|
| - config_name: fgfeie
|
| data_files: datasets/figaro_fgfeie/data/*.parquet
|
| - config_name: fgfeim
|
| data_files: datasets/figaro_fgfeim/data/*.parquet
|
| - config_name: fgfoee
|
| data_files: datasets/figaro_fgfoee/data/*.parquet
|
| - config_name: fgfoem
|
| data_files: datasets/figaro_fgfoem/data/*.parquet
|
| - config_name: fgfoie
|
| data_files: datasets/figaro_fgfoie/data/*.parquet
|
| - config_name: fgfoim
|
| data_files: datasets/figaro_fgfoim/data/*.parquet
|
| - config_name: fggvce
|
| data_files: datasets/figaro_fggvce/data/*.parquet
|
| - config_name: fggvcm
|
| data_files: datasets/figaro_fggvcm/data/*.parquet
|
| - config_name: fgte
|
| data_files: datasets/figaro_fgte/data/*.parquet
|
| - config_name: fgtex
|
| data_files: datasets/figaro_fgtex/data/*.parquet
|
| - config_name: fgti
|
| data_files: datasets/figaro_fgti/data/*.parquet
|
| - config_name: ghg_footprints
|
| data_files: datasets/figaro_ghg_footprints/data/**/*.parquet
|
| - config_name: io_industry
|
| data_files: datasets/figaro_io_industry/data/**/*.parquet
|
| - config_name: io_product
|
| data_files: datasets/figaro_io_product/data/**/*.parquet
|
| - config_name: land_footprints
|
| data_files: datasets/figaro_land_footprints/data/*.parquet
|
| - config_name: supply
|
| data_files: datasets/figaro_supply/data/*.parquet
|
| - config_name: use
|
| data_files: datasets/figaro_use/data/**/*.parquet
|
| ---
|
|
|
| # FIGARO (2026 edition)
|
|
|
| EU inter-country supply, use and input-output tables, and the environmental footprints derived from them. Industry, product and area scales are in `scales/` as multiscales objects exported as data.
|
|
|
| ## Terms
|
|
|
| - **Licence**: CC-BY-4.0 (https://creativecommons.org/licenses/by/4.0/)
|
| - **Attribution**: Data: Eurostat (FIGARO) - CC-BY-4.0
|
| - **Cite as**: Eurostat, EU inter-country supply, use and input-output tables (FIGARO), 2026 edition.
|
| - **Source**: https://ec.europa.eu/eurostat/web/esa-supply-use-input-tables
|
|
|
| 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`.
|
|
|
| ## Read this before you aggregate
|
|
|
| - FIGARO spells the SAME industry two ways in two tables of the same family: C10-C12 in the supply table's nace_r2, C10-12 in ind_use/ind_ava. Joining supply to use on industry silently matches nothing for 11 of 64 industries. scales/figaro_industry.csv carries both spellings and is the crosswalk.
|
| - The axes are not purely industries and products. ind_use also carries final demand (P3_S13/S14/S15, P51G, P5M) and prd_ava also carries value added (B2A3G, D1, D21X31, D29X39, OP_RES, OP_NRES). Summing an axis without separating these adds final demand to industry output.
|
| - Reporting areas are Eurostat geo codes: EL is Greece, UK is the United Kingdom and WRL_REST is the rest of the world. scales/figaro_geo.csv maps them to ISO3 where one exists.
|
| - DOM ('Domestic country') in c_orig is NOT a partner country and does NOT duplicate the self-pair. Verified on the 2020 use table: it appears on exactly the six value-added rows (B2A3G, D1, D21X31, D29X39, OP_RES, OP_NRES) and on nothing else, with zero overlap against the 64 products -- value added has no foreign origin. So c_orig is additive; it is the PRODUCT axis that is not, because summing all 70 codes adds value added to intermediate inputs.
|
| - Datasets above 10M rows are written hive-partitioned by year, the rest as a single part. `storage.layout` says which, and a hive dataset must be opened as a dataset (with its year partitioning), not as one file.
|
|
|
| ## Using it
|
|
|
| ```r
|
| # the supply table
|
| arrow::read_feather("datasets/figaro_supply/data/part-0.arrow")
|
|
|
| # a hive-partitioned table, one year only
|
| arrow::open_dataset("datasets/figaro_use/data", format = "feather") |>
|
| dplyr::filter(year == 2020) |> dplyr::collect()
|
|
|
| # the industry scale, and the 11 codes with two spellings
|
| ind <- read.csv("scales/figaro_industry.csv")
|
| ind[ind$industry != ind$nace_code, c("industry", "nace_code")]
|
| ```
|
|
|
| |
