EU migration flows panel (Eurostat)

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Annual international-migration-flows panel from Eurostat's official keyless dissemination API: long-term immigration and emigration totals per European country and year (all ages, both sexes, all citizenships), with net migration, year-on-year changes, each country's share of EU immigration and within-year net-migration ranks. Eurostat observation flags kept verbatim; missing cells are honestly absent, never imputed, and derived metrics never bridge gaps. Who joins this: demographic and labour-supply models join net migration on (geo, year); housing-demand and consumer models read immigration momentum; country-risk desks track net-flow reversals. Eurostat datasets migr_imm1ctz ('Immigration by age group, sex and citizenship') and migr_emi2 ('Emigration by age and sex'). Fills the catalog's EU migration-flows gap: existing migration datasets cover asylum, migrant stocks and Canada/US-internal flows, none the EU-wide immigration/emigration flows.

Source: Eurostat Migration Flows Intelligence
Rows: 1,024
Columns: 15
Source cadence: Yearly
Last refreshed: Oct 9, 2026
Theme: demographics

Column	Type	Description
year	integer	Observation year (1990 -> latest published, per-geo spans differ); panel join key with geo. (unit: year)
year_start	date	First day of the observation year. (unit: date)
geo	string	Eurostat country/aggregate code (e.g. DE, FR, EU27_2020). The discontinued United Kingdom series and Kosovo (XK) are excluded per the catalog's Eurostat geo rule. (unit: string)
geo_label	string	English label for geo as published by Eurostat. (unit: string)
immigration	integer	Long-term immigrants arriving in the reporting country during the year (all ages, both sexes, all citizenships). Eurostat migr_imm1ctz, freq=A, age=TOTAL, sex=T, citizen=TOTAL, agedef=REACH. Counts of persons; null where unpublished, never imputed. (unit: persons)
immigration_flag	string	Eurostat observation flag for immigration as published ('p' provisional, 'e' estimated, 'b' break in time series, ...); empty when unflagged. (unit: string)
emigration	integer	Long-term emigrants leaving the reporting country during the year (all ages, both sexes). Eurostat migr_emi2, freq=A, age=TOTAL, sex=T, agedef=REACH. Counts of persons; null where unpublished, never imputed. (unit: persons)
emigration_flag	string	Eurostat observation flag for emigration as published ('p' provisional, 'e' estimated, 'b' break in time series, ...); empty when unflagged. (unit: string)
net_migration	integer	immigration minus emigration, in persons. Negative values are net outflow years (real upstream prints). Null when either leg is missing; never imputed. (unit: persons)
immigration_yoy_pct	float	Year-on-year percent change of immigration (exact prior year); null for a geo's first published year or when the prior year is missing (never bridges gaps). (unit: percent)
emigration_yoy_pct	float	Year-on-year percent change of emigration (exact prior year); null for a geo's first published year or when the prior year is missing (never bridges gaps). (unit: percent)
net_change	float	Absolute year-on-year change in net_migration, in persons (net can cross zero, so a percent change is meaningless). Null when either year's net is missing. (unit: persons)
immigration_share_eu27_pct	float	100 * immigration / the EU27_2020 immigration total in the same year. Null for EU27_2020 itself and where either side is missing. The EU total includes intra-EU moves, so member shares do not sum to 100 unless every member published that year. (unit: percent)
net_rank	integer	Within-year rank of net_migration across kept geos (1 = largest net inflow; ties share a rank). (unit: rank)
row_hash	string	Deterministic 16-hex sha256 of year + geo + the raw immigration count and flag (idempotency key). (unit: string)

First 10 sample rows — a preview, not the complete dataset.

year	year_start	geo	geo_label	immigration	immigration_flag	emigration	emigration_flag	net_migration	immigration_yoy_pct	emigration_yoy_pct	net_change	immigration_share_eu27_pct	net_rank	row_hash
2,006	2006-01-01	AM	Armenia	1,335	—	8,053	—	-6,718	—	—	—	—	27	b318bd7b00479b8a
2,007	2007-01-01	AM	Armenia	1,112	—	7,461	—	-6,349	-16.704	-7.351	369	—	33	8d525576456591ca
1,996	1996-01-01	AT	Austria	—	—	66,050	—	—	—	—	—	—	—	fb0ca7c94a4bf225
1,997	1997-01-01	AT	Austria	—	—	68,585	—	—	—	3.838	—	—	—	053915c5eba02fa7
1,998	1998-01-01	AT	Austria	72,723	—	64,272	—	8,451	—	-6.289	—	—	13	8bdb7daa8c75bd6e
1,999	1999-01-01	AT	Austria	86,710	—	66,923	—	19,787	19.233	4.125	11,336	—	7	35dab8f3c0e92502
2,000	2000-01-01	AT	Austria	81,676	—	64,472	—	17,204	-5.806	-3.662	-2,583	—	10	767dc42964af870b
2,001	2001-01-01	AT	Austria	89,928	—	72,654	—	17,274	10.103	12.691	70	—	11	57461c2a3e8519ff
2,002	2002-01-01	AT	Austria	108,125	b	74,831	b	33,294	20.235	2.996	16,020	—	9	30c1d21d19df4f07
2,003	2003-01-01	AT	Austria	111,869	—	71,996	—	39,873	3.463	-3.789	6,579	—	5	461f6d5bbc429cfc

Profiled Oct 9, 2026 from snapshot 20261009T171101Z-53159f534542

Measured

Completeness: 87.2%
Rows: 1,024
Columns: 15
Columns with gaps: 10

Rows per yearyear · 1990–2024 · 35 years

19902024

Column	Missing	Distinct	Range	Distribution
yearbigint	0%	35	1,990 → 2,024median 2,010
year_startdate	0%	36	Jan 1, 1990 → Jan 1, 2024	—
geovarchar	0%	56	—	CH35 DE35 DK35
geo_labelvarchar	0%	52	—	Denmark35 Finland35 Germany35
immigrationbigint	16.6%	733	35 → 6,997,284median 51,792	18 outside 1st–99th percentile
immigration_flagvarchar	16.6%	9	—	762 b31 p25
emigrationbigint	2.8%	842	76 → 3,166,449median 32,344	20 outside 1st–99th percentile
emigration_flagvarchar	2.8%	7	—	912 b34 e21
net_migrationbigint	19.4%	774	-251,531 → 4,303,275median 13,588	18 outside 1st–99th percentile
immigration_yoy_pctdouble	21.8%	717	-61.89 → 1,138median 3.64	17 outside 1st–99th percentile
emigration_yoy_pctdouble	8%	943	-97.91 → 5,646median 1.87	20 outside 1st–99th percentile
net_changedouble	24.4%	985	-1,309,507 → 2,863,869median 391.5	16 outside 1st–99th percentile
immigration_share_eu27_pctdouble	60.5%	455	0.011 → 38.95median 1.45	10 outside 1st–99th percentile
net_rankbigint	19.4%	37	1 → 37median 16	3 outside 1st–99th percentile
row_hashvarchar	0%	1,234	—	001d26b39c79a9111 0123b64dc4b0271c1 012a534c0f3f0cca1

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/eurostat_migration_intel/eu_migration_flows_annual" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/eurostat_migration_intel/eu_migration_flows_annual").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

API endpoint: https://datazimuts.com/v1/datasets/eurostat_migration_intel/eu_migration_flows_annual

Tip: fetch /llms.txt for the full machine-readable catalog.

Cite this snapshot

Pinned to snapshot 20261009T171101Z-53159f534542 and its content hash, so readers get exactly the data you used.

APA

Eurostat Migration Flows Intelligence. (2026). EU migration flows panel (Eurostat) [Data set, snapshot 20261009T171101Z-53159f534542, sha256 53159f534542]. Datazimuts. Retrieved 2026-10-10, from https://datazimuts.com/en/datasets/eurostat_migration_intel/eu_migration_flows_annual?snapshot=20261009T171101Z-53159f534542

BibTeX

@misc{dz_eurostat_migration_intel_eu_migration_fl_53159f53,
  title        = {{EU migration flows panel (Eurostat)}},
  author       = {{Eurostat Migration Flows Intelligence}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/eurostat_migration_intel/eu_migration_flows_annual?snapshot=20261009T171101Z-53159f534542}},
  note         = {Snapshot 20261009T171101Z-53159f534542, sha256 53159f53454251b16b2ddc606d02ba6c6d7968308808ff7a3677a19f301747e1; accessed 2026-10-10}
}

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<iframe src="https://datazimuts.com/embed/chart?dataset=eurostat_migration_intel%2Feu_migration_flows_annual&lang=en&theme=auto&snapshot=20261009T171101Z-53159f534542&x=year&y=year&agg=avg" title="EU migration flows panel (Eurostat)" width="100%" height="380" style="border:0" loading="lazy"></iframe>