Hotels, Resorts & Cruise Lines Data: Accommodation Capacity, Booking-Level Demand and Live Fleet Tracking · Head-to-head
Eurostat – Capacity of Tourist Accommodation (tour_cap_nat) vs Eurostat – Nights Spent at Tourist Accommodation (tour_occ_arn2)
Which hotels, resorts & cruise lines data: accommodation capacity, booking-level demand and live fleet tracking data fits your job: Eurostat – Capacity of Tourist Accommodation, or Eurostat – Nights Spent at Tourist Accommodation. API, files, or your warehouse. Daily, weekly, or hourly.
Eurostat – Capacity of Tourist Accommodation (tour_cap_nat)
Eurostat – Nights Spent at Tourist Accommodation (tour_occ_arn2)
Coverage, side by side
| Eurostat – Capacity of Tourist Accommodation | Eurostat – Nights Spent at Tourist Accommodation | |
|---|---|---|
| Geographic | National level for 26 reporting EU member states, EFTA (Liechtenstein, Norway, Switzerland) and candidates (Montenegro, Albania, Serbia), plus EU/EFTA aggregates | Same national roster plus NUTS 2 regions — 561 geo codes observed, EU aggregates included |
| Temporal | 1990 onward; 2024–2025 populated for most countries with a 2026 reference-year flag positioned | 1990 through 2025 populated; monthly sibling tour_occ_nim extends the family through May 2026 |
| Granularity | Annual: country × accommodation type (NACE I551/I552/I553) × capacity unit (establishments, bedrooms, bed-places) | Annual: NUTS 2 region × guest residence (DOM/FOR/TOTAL) × accommodation type; monthly variants available nationally |
What each contains
They tie on 4 attributes. Pick by fit, not by loyalty.
| Eurostat – Capacity of Tourist Accommodation | Eurostat – Nights Spent at Tourist Accommodation | |
|---|---|---|
| Publisher | Eurostat Data Browser | Eurostat Data Browser |
| Subject lens | Supply-side census: establishments, bedrooms and bed-places in tourist accommodation, counted as maximum capacity over the year | Demand-side series: arrivals and nights spent at tourist accommodation establishments, split by guest residence |
| Documented fields | 7 fields, definitions verified during research | 7 fields, definitions verified during research |
| Geographic coverage | National level for 26 reporting EU member states, EFTA (Liechtenstein, Norway, Switzerland) and candidates (Montenegro, Albania, Serbia), plus EU/EFTA aggregates | Same national roster plus NUTS 2 regions — 561 geo codes observed, EU aggregates included |
| Temporal coverage | 1990 onward; 2024–2025 populated for most countries with a 2026 reference-year flag positioned | 1990 through 2025 populated; monthly sibling tour_occ_nim extends the family through May 2026 |
| Granularity | Annual: country × accommodation type (NACE I551/I552/I553) × capacity unit (establishments, bedrooms, bed-places) | Annual: NUTS 2 region × guest residence (DOM/FOR/TOTAL) × accommodation type; monthly variants available nationally |
| Secondary industries | None tagged | None tagged |
| Best for | The industry's physical footprint: how many properties trade and how many beds they hold | The industry's performance: who travels, where, resident or inbound, and in what volume |
Where they're equivalent
More than their different subject matter suggests. Same collection machinery: both are built from sample surveys or censuses of accommodation establishments drawn from business registers, stated identically in both records. Same establishment universe: paid short-stay accommodation under NACE 55.1/55.2/55.3 with the same small-establishment threshold, which produces the same blind spot — non-rented accommodation sits outside both, and properties below the threshold can be missing from either. Same history: both reach back to 1990. Same data-quality posture: 9 of 10 against the catalog's 7.81 average, field dictionaries verified rather than inferred.
One caveat attaches to the demand side's documentation and deserves carrying across any merge: a time-series break between the 2011 and 2012 reference periods. Treat pre-2012 trend lines carefully whichever table feeds them.
The verdict
Verdict: sample both, pick by fit — these are denominator and numerator, not rivals, and most serious questions in this industry end up needing each half.
Take Eurostat – Nights Spent at Tourist Accommodation (tour_occ_arn2) if the question names people. Inbound versus domestic demand by region, which destinations pull international guests, volume behind a market-sizing model, staffing or revenue planning driven by guest flows, a NUTS 2 ranking of where Europe actually travels.
Take Eurostat – Capacity of Tourist Accommodation (tour_cap_nat) if the question names buildings. How many hotels, holiday dwellings and campsites operate in a market, bedroom and bed-place stocks for valuation or development work, competitive density before entering a region, or the capacity base any utilization calculation needs.
Sample both, pick by fit. See Eurostat – Capacity of Tourist Accommodation · See Eurostat – Nights Spent at Tourist Accommodation
Or take both in one feed
Yes — as structure and stress. Bed-places from the supply census against nights spent in the demand series yields utilization-style pressure by country and accommodation type; establishments against arrivals yields average scale per trading property. Supply tells you what a market can absorb, demand tells you what it did.
Three seams decide whether the join holds. First, geographic frames: the supply census stops at national level while demand reaches NUTS 2, so aggregate demand upward before merging. Second, residence splits: summing DOM and FOR rows double-counts guests — take TOTAL wherever you need everybody. Third, the shared exclusion threshold: small establishments are missing from both sides alike, so ratios stay fair even where absolute counts understate the long tail. Sample both and join them yourself — each arrives normalized to its documented field dictionary with sample rows attached, delivered daily, weekly, or hourly — your call. Or take both in one feed.
API, files, or your warehouse. Daily, weekly, or hourly.
Fair questions
Is Eurostat – Capacity of Tourist Accommodation (tour_cap_nat) better than Eurostat – Nights Spent at Tourist Accommodation (tour_occ_arn2)?
Better at different jobs. Capacity wins when the question is about infrastructure: establishments, bedrooms and bed-places held as maximum-over-the-year stocks across hotels, short-stay and camping. Nights wins when the question is about people: guest flows split residents versus non-residents, down to NUTS 2 region. Sample both, pick by fit.
Do both datasets cover hotels and campsites separately?
Yes, identically. Both use the same NACE Rev. 2 accommodation taxonomy: the I551–I553 total, I551 hotels and similar, I552 holiday and other short-stay, the I552_I553 combined roll-up, and I553 camping grounds and RV parks. Classification follows the activity, not the brand — neither table separates chains from independents.
Which dataset has regional detail?
Only the demand side. tour_occ_arn2 resolves to NUTS 2 regions — Veneto and Stuttgart among 561 observed geo codes — while tour_cap_nat reports at national level with EU and EFTA aggregates. Sub-national bed counts are not something the supply census can draw today.
How far back do the two records reach?
Both start at 1990. Capacity fills toward the latest reference year, with 2024–2025 populated for most countries and a 2026 position flagged; the regional demand series populates 1990 through 2025. Mind the documented time-series break between the 2011 and 2012 reference periods before charting long trends.
Can I get both Eurostat datasets from Datadory?
Yes — sample both and pick by fit, or take both in one feed. Each arrives normalized to its documented field dictionary (seven fields apiece) with sample rows attached for inspection before anything ships, delivered daily, weekly, or hourly — your call.