TOP 10 Countries by Hospital Beds per 1,000 Population (2025)
Hospital beds per 1,000 inhabitants is one of the most widely cited indicators of a health system's inpatient capacity. This ranking uses the latest harmonised OECD and WHO data (2021–2022) as the most reliable proxy for a 2025 snapshot — with updated figures that materially change the composition of the Top 10.
Top 10: Countries with the Highest Hospital Bed Density
The 2025 ranking is led by two Asian economies at more than three times the OECD average, followed by a cluster of Central and Eastern European countries that inherited large inpatient networks from earlier public health-planning models. Bulgaria and Romania are new Top-10 entrants reflecting continued investment in hospital infrastructure.
South Korea leads all comparable countries, a position earned through three decades of rapid hospital expansion. Growth has been driven primarily by privately owned clinics and hospitals that operate within a universal public insurance framework. The density is especially high in major urban centres.
Japan's very high bed density reflects both a deep hospital culture and the demands of a rapidly ageing population. Average length of stay is among the highest in the OECD, meaning beds are utilised over extended periods. The trend is now a gradual, policy-driven decline as Japan shifts care to community settings.
Bulgaria enters the Top 3 on updated data, surpassing Germany. Its bed density reflects a publicly anchored hospital network — largely a legacy of the Soviet-era health model — combined with recent investment in private hospital capacity. Day-surgery and outpatient restructuring is underway but slower than in Western Europe.
Germany remains one of the best-resourced health systems in Europe. Two-thirds of beds are in public or non-profit hospitals; the rest in private facilities. A major hospital reform programme launched in 2024 aims to consolidate smaller sites into specialised regional centres, which will reduce bed numbers over the medium term.
Romania's high bed count reflects its continuing reliance on hospital-based care, with a relatively underdeveloped primary and community care sector that directs more patients to inpatient settings. Occupancy and staffing challenges persist, making raw bed numbers an imperfect proxy for actual capacity.
Austria's dense hospital network is supported by a federal structure where Länder (states) each maintain their own hospital planning. The system is widely regarded as high quality and accessible; gradual bed rationalisation in favour of day surgery has been the dominant trend since 2010.
Hungary maintains a predominantly public hospital sector with high bed density relative to population. An ongoing reform agenda focuses on consolidating small-town hospitals into county-level facilities and expanding outpatient specialist networks to reduce avoidable inpatient admissions.
Czechia combines a dense hospital network with relatively short average stays compared with Japan or Hungary. The system has become more efficient over time, with day-case surgery accounting for a growing share of procedures. ICU capacity is above the EU median.
Poland's bed stock reflects both legacy infrastructure from the pre-1990 period and sustained public investment since EU accession. Despite the high absolute density, regional disparities between urban academic centres and rural powiat hospitals remain significant.
Lithuania has progressively rationalised its hospital sector since the early 2000s — bed density has fallen from over 9 per 1,000 in 1995 — but still sits comfortably in the global top tier. Primary care reform and a shift to outpatient specialist services are the main policy levers going forward.
Table: Top 20 Countries by Hospital Beds per 1,000 People
| Rank | Country | Value | YoY (2020→2021) | Region | Income group |
|---|---|---|---|---|---|
| 1 | South Korea | 12.77 | +0.9% | Asia | High-income |
| 2 | Japan | 12.40 | −0.2% | Asia | High-income |
| 3 | Bulgaria | 7.92 | +1.3% | Europe | Upper-middle |
| 4 | Germany | 7.76 | −0.8% | Europe | High-income |
| 5 | Romania | 7.21 | +1.3% | Europe | Upper-middle |
| 6 | Austria | 6.91 | −2.0% | Europe | High-income |
| 7 | Hungary | 6.79 | +0.4% | Europe | High-income |
| 8 | Czechia | 6.66 | +1.8% | Europe | High-income |
| 9 | Poland | 6.27 | +1.3% | Europe | High-income |
| 10 | Lithuania | 6.05 | +0.7% | Europe | High-income |
| 11 | Croatia | 5.68 | +0.4% | Europe | High-income |
| 12 | Slovakia | 5.67 | −0.2% | Europe | High-income |
| 13 | France | 5.65 | −1.2% | Europe | High-income |
| 14 | Belgium | 5.47 | −1.1% | Europe | High-income |
| 15 | Latvia | 5.16 | −2.5% | Europe | High-income |
| 16 | China | 5.20 | +4.0% | Asia | Upper-middle |
| 17 | Switzerland | 4.43 | −1.1% | Europe | High-income |
| 18 | Estonia | 4.39 | −1.6% | Europe | High-income |
| 19 | Greece | 4.27 | +0.9% | Europe | High-income |
| 20 | Slovenia | 4.25 | −0.7% | Europe | High-income |
| Source: OECD Health Statistics / WHO Global Health Observatory / World Bank. Values for 2021 unless noted. YoY = change from 2020 to 2021. "vs OECD avg" uses reference value of 4.2 beds/1,000. | |||||
Chart 1: Hospital Beds per 1,000 — Top 20 vs OECD Average
The bar chart shows the full ranking of the Top 20 countries alongside the OECD average reference line (4.2 beds/1,000). The gap between South Korea / Japan and the rest of the field is stark; the Central and Eastern European cluster occupies a distinct middle tier well above Western European norms.
Data: OECD Health Statistics 2021–2022. The dashed red line marks the OECD average of 4.2 beds per 1,000. Hover over bars for exact values. Rankings are indicative for the 2025 snapshot.
Methodology
How this ranking was built — step by step
| Parameter | Detail |
|---|---|
| Indicator definition | Total hospital beds (curative + long-term) per 1,000 population, as defined by the WHO and used in OECD Health Statistics. |
| Reference year | 2021 (primary); 2022 where 2021 is unavailable (e.g. Japan, Belgium). Treated as the 2025 snapshot because the relative ranking has been stable. |
| Primary sources | OECD Health Statistics (Health at a Glance 2023 & 2025); WHO Global Health Observatory (SH.MED.BEDS.ZS); World Bank WDI. |
| Coverage | 60+ countries where internationally comparable data exist. Non-reporting or unverifiable jurisdictions (e.g. North Korea, parts of sub-Saharan Africa) are excluded. |
| YoY calculation | Percentage change from the 2020 to the 2021 value, rounded to one decimal place. |
| "vs OECD avg %" | Calculated as: (country value ÷ 4.2) × 100. The OECD average of 4.2 beds/1,000 is from OECD Health at a Glance 2023. |
| Rounding | Values rounded to two decimal places for readability. Minor discrepancies between sources are resolved by taking the OECD figure as primary. |
| Limitations | Country definitions of "hospital bed" vary slightly (e.g. inclusion of rehabilitation and psychiatric beds differs). Long-term care beds are included in some national reports but not others. Values should be treated as indicative, not as precise official statistics. |
Key methodological note: Small differences around the middle of the Top 10 can change rank positions when newer comparable annual values are released. The current ordering reflects the latest harmonised OECD and WHO snapshot used on this page.
Analytical Insights: What the 2025 Ranking Reveals
Six structural patterns behind the numbers
1. Asia's two-country dominance is structural, not accidental
South Korea and Japan hold the top two positions with a lead of more than four beds per 1,000 over the third-ranked country — a gap that has persisted for over a decade. In both countries, the high density is the direct result of deliberate policy choices and institutional incentives. Japan's universal insurance scheme historically paid per bed-day, creating a financial incentive to maintain large inpatient facilities. South Korea's rapid expansion was driven by private hospital investment encouraged by deregulation in the 1980s–1990s and by demand from an ageing population that prefers inpatient over home-based care.
The trend in Japan is now downward — falling from 13.3 per 1,000 in 2013 to 12.4 in 2022 — as reforms push towards shorter stays and community care. South Korea, by contrast, was still growing at 0.9% per year as of 2021, driven partly by expanded long-term care beds for its over-65 population, which crossed 17% of the total in 2020.
2. Central and Eastern Europe dominates the mid-tier — for legacy reasons
Seven of the Top 10 are in Europe, all from Central or Eastern Europe. This is not a coincidence. The Semashko model of healthcare organisation — developed in the Soviet Union and adopted across the Eastern Bloc — was built around centralised, hospital-centric care with large per-capita bed capacity and relatively weak primary care. Even after 30 years of post-transition reform, the inpatient infrastructure of these systems remains much denser than in Western Europe.
Bulgaria and Romania entering the Top 10 in 2021 data illustrates this clearly. Both countries have continued to invest in hospital capacity even as Western European peers rationalise. In Bulgaria, the number of beds per 1,000 has grown every year since 2013; in Romania, every year since 2014. This is the opposite of the trend in Austria, France and Germany.
3. The OECD average (4.2) masks a bimodal distribution
The OECD average of approximately 4.2 beds per 1,000 sits between two very distinct clusters. Above the average are the legacy-high-density countries (all Top 20 in this ranking); below it are predominantly Anglo-Saxon, Nordic and Southern European systems (UK: 2.44; Sweden: 2.00; USA: 2.78; Norway: 3.40) that have deliberately reduced beds in favour of day surgery, ambulatory care and community-based services. A country near the OECD average is therefore not "typical" — it sits at the trough between two very different system archetypes.
4. High bed density does not equal high system performance
Romania and Bulgaria — both new Top-10 entrants — score significantly lower than Germany or Czechia on composite health system performance metrics (EURO Health Consumer Index, OECD quality indicators). Their high bed counts reflect the absence of a strong alternative to inpatient care, not a strategic reserve of flexible capacity. Conversely, Sweden and the Netherlands — well below the OECD average — consistently rank among the top performers in health outcomes and patient experience.
This disconnect has policy implications: raw bed density is most meaningful when accompanied by data on occupancy rates, average length of stay, staff-to-bed ratios and the share of beds that are immediately functional (staffed, equipped, not mothballed).
5. China's trajectory is the most consequential trend globally
China is ranked 16th in the current snapshot with 5.20 beds per 1,000 (2021), but its trajectory is remarkable: from 3.33 in 2013 to 5.20 in 2021 — a 56% increase in eight years. Some estimates for 2022 put the figure even higher. If this expansion continues, China could match Western European mid-range systems within a decade. Given China's population of 1.4 billion, this represents an enormous absolute addition of inpatient capacity to global healthcare infrastructure.
6. COVID-19 disrupted but did not reverse the long-run trend toward fewer beds in rich countries
Several OECD countries temporarily halted bed rationalisation plans in 2020–2021 in response to pandemic surge demands. Austria, France and Germany all recorded smaller declines than their pre-2020 trend would have predicted. However, the structural direction has not changed: bed numbers are falling in Western Europe, Scandinavia and Australasia, and rising in East Asia and parts of Eastern Europe. The 2021 data reflects a brief pause rather than a reversal.
What This Means for Readers
How to interpret this indicator in context
If you are comparing health systems, researching health infrastructure, or trying to understand how well prepared a country is for health emergencies, this ranking is a useful starting point — but it needs to be read carefully.
The one number to remember: The OECD average is 4.2 beds per 1,000. Countries in the Top 10 are all above 6.0 — at least 44% above the average. Countries like Sweden (2.0) or the UK (2.4) operate at roughly half the OECD average and still deliver high-quality care. The "right" number depends entirely on how the rest of the system is designed.
For patients and residents
Living in a country with high bed density does not guarantee faster or better access to hospital care. Occupancy rates in some high-density countries (Hungary: 65%; Bulgaria: estimated 60–75%) are not notably lower than in low-density ones. What matters more for a patient is: how quickly can beds be made available, how well staffed are they, and are they located where patients actually live?
For health policymakers and planners
This ranking is most useful as a prompt for asking three deeper questions. First, is bed capacity growing or shrinking — and does the direction match the policy intent? Second, what share of beds are acute (curative) versus long-term, and is that mix appropriate for demographic needs? Third, how does bed density interact with average length of stay — two countries with identical bed-density figures could have very different effective capacities depending on how long patients occupy each bed.
For researchers and analysts
The updated Top 10 (with Bulgaria and Romania replacing France and Slovakia) is a signal that the Central and Eastern European divergence from Western European norms has not closed and may be widening for some countries. This creates a natural comparison group for studying whether high inpatient capacity in post-transition economies delivers health benefits proportional to its cost.
| Country type | Beds/1,000 | Key characteristic | Main policy priority |
|---|---|---|---|
| East Asian leaders (Korea, Japan) | 12–13 | Private hospitals, ageing population, universal insurance | Shortening stays; shifting to community care |
| CEE legacy systems (Bulgaria, Romania, Hungary) | 6–8 | Post-Soviet infrastructure, weak primary care | Restructuring; reducing avoidable admissions |
| Western European reformers (Germany, Austria, France) | 5–8 | Mixed ownership, high quality | Consolidation; productivity |
| Nordic / Anglo-Saxon lean systems (Sweden, UK, USA) | 2–3.5 | Strong primary care, day surgery | Surge capacity; workforce shortages |
Frequently Asked Questions
Primary Data Sources and Technical Notes
All figures are compiled from the official international datasets listed below. Values are rounded for readability and serve as analytical estimates rather than a formal statistical release. For official country-level statistics, always consult the primary sources directly.
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OECD Health Statistics — Hospital Beds and Occupancy
The core source for comparable OECD-member data. Published annually in "Health at a Glance."
The 2021 series used in this ranking appears in Health at a Glance 2023 and 2025.
https://www.oecd.org/en/data/indicators/hospital-beds.html -
WHO Global Health Observatory — Hospital Beds (per 10,000 population)
Provides data for non-OECD countries and metadata on indicator definitions and comparability.
https://www.who.int/data/gho/data/indicators/indicator-details/GHO/hospital-beds-(per-10-000-population) -
World Bank — World Development Indicators (SH.MED.BEDS.ZS)
Hospital beds per 1,000 people, harmonised from WHO GHO data. Used for cross-checks
and for the "vs OECD avg" reference value.
https://data.worldbank.org/indicator/SH.MED.BEDS.ZS -
OECD Health at a Glance 2023 — Full Report
Contains chapter-level data on hospital beds, occupancy and trends for OECD members through 2021.
Used as primary reference for 2021 values and occupancy data in the text.
https://www.oecd.org/en/publications/2023/11/health-at-a-glance-2023_e04f8239.html -
OECD Health at a Glance 2025 — Hospital Beds and Occupancy
Most recent edition (November 2025) providing updated 2022 data for several countries including Japan.
https://www.oecd.org/en/publications/2025/11/health-at-a-glance-2025_a894f72e.html
Page last updated: April 2026. All numerical values are approximate and for analytical purposes only. For formal statistical or policy work, refer to the original databases and their methodological documentation.
