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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")]
```
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