eurostat

Eurostat (Statistical Office of the EU)

Official statistics for the European Union and euro area — the counterpart to Hagstofan for evrusvæðið. No authentication, no rate key, plain HTTP.

API

Base URL: https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/{dataset}

• JSON via ?format=JSON; filters as &dim=code params.
• Responses are json-stat2: .dimension.<d>.category.index maps code → position, .label position → human label, .value holds row-major composite-indexed values (first dimension varies fastest).
• No API key. Works from any CI runner (unlike geo-fenced Icelandic hosts).

scripts/eurostat.py wraps this: fetch DATASET --filter KEY=VALUE (repeatable) flattens to a tidy long CSV in data/processed/eurostat/ (--out overrides).

Fetching data

uv run python scripts/eurostat.py list                    # curated datasets
uv run python scripts/eurostat.py fetch prc_hicp_midx \
  --filter geo=EA20 --filter coicop=CP00 --filter unit=I15
uv run python scripts/eurostat.py fetch namq_10_a10 \
  --filter geo=EA20 --filter na_item=D1 --filter s_adj=SCA \
  --filter unit=CP_MEUR --filter nace_r2=TOTAL
uv run python scripts/eurostat.py fetch namq_10_pe \
  --filter geo=EA20 --filter na_item=EMP_DC --filter s_adj=SCA --filter unit=THS_PER

Filter values are codes, case-insensitive. The time dimension cannot be range-filtered server-side (400) — fetch the series and slice locally (duckdb/polars).

Key datasets used in this repo

Dataset	What	Key codes
prc_hicp_midx	HICP monthly index	unit=I15 (2015=100), coicop=CP00 (all items)
prc_hicp_manr	HICP monthly rate of change	unit=RCH_A (annual), RCH_M (monthly)
namq_10_a10	National accounts, quarterly	na_item=D1 (compensation of employees, CP_MEUR), D11 (wages & salaries), s_adj=SCA, nace_r2=TOTAL
namq_10_pe	Population & employment, quarterly	na_item=EMP_DC (employment, THS_PER), s_adj=SCA
lc_lci_lev	Labour cost levels, annual	lcstruct=D11 (wages & salaries, €/h), nace_r2=B-S_X_O
namq_10_lp_ulc	Productivity & unit labour costs	na_item=RLPR_*, NULC_*