EU tourism nights spent, annual (Eurostat)

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Annual tourism-demand panel from Eurostat's official keyless dissemination API: nights spent at tourist accommodation establishments (hotels, holiday/short-stay, camping; NACE I551-I553) per country and year, 1990 onward, split into total, domestic and foreign (non-resident) nights, with the foreign share of nights, year-on-year changes, and a within-year demand rank. Eurostat observation flags (estimated/provisional/break) kept verbatim; the domestic/foreign split is honestly null where unpublished upstream. Who joins this: travel and hospitality models join tourism demand on (geo, year) to market sizing and seasonality baselines; macro and regional analysts track the foreign share as an external-demand gauge; recovery studies use the COVID trough (2020-2021) and the rebound path. Eurostat dataset tour_occ_ninat ('Nights spent at tourist accommodation establishments').

Source: Eurostat Tourism-Nights Intelligence
Rows: 1,120
Columns: 16
Source cadence: Yearly
Last refreshed: Oct 9, 2026
Theme: economy

Column	Type	Description
year	integer	Observation year (1990 -> latest published); 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. ES, FR, EU27_2020, EA20). The United Kingdom, Kosovo and superseded legacy aggregates (EU, EU28, EU27_2007, EU25, EA) are excluded per the catalog's Eurostat geo rule. (unit: string)
geo_label	string	English label for geo as published by Eurostat. (unit: string)
nights_total	float	Nights spent at tourist accommodation establishments by all guests (domestic + foreign), all accommodation types (NACE I551-I553: hotels, holiday and other short-stay accommodation, camping grounds). Eurostat tour_occ_ninat, c_resid=TOTAL, unit NR. (unit: nights)
nights_total_flag	string	Eurostat observation flag for nights_total as published ('e' estimated, 'p' provisional, 'b' break in series, ...); empty when unflagged. (unit: string)
nights_domestic	float	Nights spent by guests resident in the reporting country (c_resid=DOM). Honestly null where unpublished upstream — never imputed. (unit: nights)
nights_domestic_flag	string	Eurostat observation flag for nights_domestic as published; empty when unflagged. (unit: string)
nights_foreign	float	Nights spent by non-resident guests (c_resid=FOR). Honestly null where unpublished upstream — never imputed. (unit: nights)
nights_foreign_flag	string	Eurostat observation flag for nights_foreign as published; empty when unflagged. (unit: string)
foreign_share_pct	string	Foreign share of nights: 100 * nights_foreign / nights_total. Null unless the domestic/foreign split is published for the cell. (unit: percent)
yoy_total_pct	float	Year-on-year percent change of nights_total (exact prior year); null for a geo's first published year or when the prior year is missing (never bridges gaps). (unit: percent)
yoy_domestic_pct	float	Year-on-year percent change of nights_domestic; null where the prior year is missing (never bridges gaps). (unit: percent)
yoy_foreign_pct	float	Year-on-year percent change of nights_foreign; null where the prior year is missing (never bridges gaps). (unit: percent)
nights_total_rank	integer	Within-year rank of nights_total across kept geos (1 = most nights; ties share a rank). (unit: rank)
row_hash	string	Deterministic 16-hex sha256 of year + geo + the raw nights values and flags (idempotency key). (unit: string)

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

year	year_start	geo	geo_label	nights_total	nights_total_flag	nights_domestic	nights_domestic_flag	nights_foreign	nights_foreign_flag	foreign_share_pct	yoy_total_pct	yoy_domestic_pct	yoy_foreign_pct	nights_total_rank	row_hash
2,018	2018-01-01	AL	Albania	3,074,657	e	931,190	e	2,143,467	e	69.714	—	—	—	30	f1b647de53924a6f
2,019	2019-01-01	AL	Albania	3,253,419	e	1,103,905	e	2,149,514	e	66.069	5.814	18.548	0.282	31	374a08f7d9b8daff
2,020	2020-01-01	AL	Albania	1,605,444	e	800,028	e	805,416	e	50.168	-50.654	-27.527	-62.53	33	b49acd1a619332b5
2,021	2021-01-01	AL	Albania	3,186,072	e	1,155,185	e	2,030,887	e	63.743	98.454	44.393	152.154	32	cfce8a40e5c8eb95
2,022	2022-01-01	AL	Albania	3,831,329	e	1,339,177	e	2,492,152	e	65.047	20.252	15.927	22.712	34	24f3ef2b6d706fee
2,023	2023-01-01	AL	Albania	6,007,854	e	2,101,259	e	3,906,595	e	65.025	56.809	56.907	56.756	32	637ce096042e0c75
2,024	2024-01-01	AL	Albania	7,445,714	—	2,214,777	—	5,230,937	—	70.254	23.933	5.402	33.9	31	befe7a52209b521f
2,025	2025-01-01	AL	Albania	9,688,568	—	2,543,594	—	7,144,974	—	73.746	30.123	14.847	36.591	29	3ab962d1258dcbe9
1,990	1990-01-01	AT	Austria	93,825,072	—	23,184,965	—	70,640,107	—	75.289	—	—	—	5	e521e5cc06877da0
1,991	1991-01-01	AT	Austria	97,412,703	—	—	—	73,027,382	—	—	3.824	—	3.379	5	5eccaa27cde0f81b

Profiled Oct 9, 2026 from snapshot 20261009T003049Z-9b8a919bc889

Measured

Completeness: 85.8%
Rows: 1,120
Columns: 16
Columns with gaps: 6

Rows per yearyear · 1990–2025 · 36 years

19902025

Column	Missing	Distinct	Range	Distribution
yearbigint	0%	35	1,990 → 2,025median 2,009
year_startdate	0%	38	Jan 1, 1990 → Jan 1, 2025	—
geovarchar	0%	39	—	AT36 BE36 BG36
geo_labelvarchar	0%	38	—	Austria36 Belgium36 Bulgaria36
nights_totaldouble	0%	1,151	112,484 → 3,144,708,974median 28,025,138	24 outside 1st–99th percentile
nights_total_flagvarchar	0%	4	—	1,083 e27 u7
nights_domesticdouble	51.4%	569	2,019 → 1,605,961,281median 16,721,422	12 outside 1st–99th percentile
nights_domestic_flagvarchar	51.4%	4	—	519 e22 b2
nights_foreigndouble	0%	1,203	110,465 → 1,538,747,693median 11,287,940	24 outside 1st–99th percentile
nights_foreign_flagvarchar	0%	4	—	1,087 e24 u7
foreign_share_pctdouble	51.4%	616	6.89 → 98.44median 49.09	12 outside 1st–99th percentile
yoy_total_pctdouble	4.9%	1,165	-78.8 → 188.64median 2.72	22 outside 1st–99th percentile
yoy_domestic_pctdouble	63.2%	482	-50.93 → 90.35median 2.98	10 outside 1st–99th percentile
yoy_foreign_pctdouble	4.9%	1,219	-84.1 → 214.74median 3.71	22 outside 1st–99th percentile
nights_total_rankbigint	0%	37	1 → 37median 16	8 outside 1st–99th percentile
row_hashvarchar	0%	1,248	—	0026dfc3a3471c231 00bc0ffea15b73731 00dfdc27a9bd6d641

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_tourism_intel/tourism_nights_annual" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/eurostat_tourism_intel/tourism_nights_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_tourism_intel/tourism_nights_annual

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

Cite this snapshot

Pinned to snapshot 20261009T003049Z-9b8a919bc889 and its content hash, so readers get exactly the data you used.

APA

Eurostat Tourism-Nights Intelligence. (2026). EU tourism nights spent, annual (Eurostat) [Data set, snapshot 20261009T003049Z-9b8a919bc889, sha256 9b8a919bc889]. Datazimuts. Retrieved 2026-10-09, from https://datazimuts.com/en/datasets/eurostat_tourism_intel/tourism_nights_annual?snapshot=20261009T003049Z-9b8a919bc889

BibTeX

@misc{dz_eurostat_tourism_intel_tourism_nights_an_9b8a919b,
  title        = {{EU tourism nights spent, annual (Eurostat)}},
  author       = {{Eurostat Tourism-Nights Intelligence}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/eurostat_tourism_intel/tourism_nights_annual?snapshot=20261009T003049Z-9b8a919bc889}},
  note         = {Snapshot 20261009T003049Z-9b8a919bc889, sha256 9b8a919bc889aa007da9614daf692a44e45d024e36519a0e8c48f4fd609edf71; accessed 2026-10-09}
}

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<iframe src="https://datazimuts.com/embed/chart?dataset=eurostat_tourism_intel%2Ftourism_nights_annual&lang=en&theme=auto&snapshot=20261009T003049Z-9b8a919bc889&x=year&y=year&agg=avg" title="EU tourism nights spent, annual (Eurostat)" width="100%" height="380" style="border:0" loading="lazy"></iframe>