OptimalSolution/databank-figaro

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

# 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")]