TOP 10 Countries by Nurses per 1,000 (2025)
Updated: April 8, 2026
The number of nurses and midwives per 1,000 people is one of the clearest staffing-capacity indicators in healthcare. High nurse density usually supports safer patient-to-nurse ratios, stronger preventive care, more resilient primary care and better surge capacity during crises. The block below focuses on the countries with the highest latest reported nurse-and-midwife density and explains what sits behind those very high ratios.
Methodology: how the ranking is built
Indicator definition
The core metric is nurses and midwives per 1,000 people, published by the World Bank as indicator SH.MED.NUMW.P3. The WHO equivalent is usually expressed per 10,000 population. The numerator is a headcount of nurses and midwives; the denominator is the population estimate for the same reporting year.
Data year and source logic
Countries do not report on one synchronized timetable. There is no single 2025 census for this indicator. This ranking is therefore a latest available comparative snapshot, not a single-year census table. The rows kept here are the more defensible visible entries in the current WHO / World Bank layer after removing older legacy observations that would otherwise make the top list look more current than it really is.
Processing and rounding
Values are shown as reported in the comparative layer and rounded to one decimal place. No full-time-equivalent adjustment is applied. Countries with missing or clearly non-comparable data are excluded from the visible list.
Limitations
Four caveats matter for interpretation:
- Headcount is not FTE. A country with many part-time nurses can look stronger than its effective staffing capacity.
- National averages hide distribution. Large urban-rural staffing gaps can exist inside the same country.
- Scope of practice differs. Two countries with similar per-capita ratios may still deploy nurses very differently.
- Reporting years are irregular. WHO metadata explicitly flag this indicator as incomplete and not synchronised across countries.
Table: Current high-density countries by nurses & midwives per 1,000 people
The table below presents the current highlighted countries and territories in the WHO / World Bank comparative layer for nurse-and-midwife density. Older legacy observations with much older reporting years have been removed from the visible ranking so the list is stricter and easier to defend. All rows are embedded directly in the HTML — no JavaScript is required to read the data.
| # | Country | Nurses & midwives ▼ | Region | Data year | Bar |
|---|---|---|---|---|---|
| 1 | Finland | 22.3223 | Europe | 2022 | |
| 2 | Belgium | 20.5205 | Europe | 2022 | |
| 3 | Norway | 18.9189 | Europe | 2022 | |
| 4 | Switzerland | 18.7187 | Europe | 2022 | |
| 5 | Iceland | 16.3163 | Europe | 2022 | |
| 6 | Ireland | 14.9149 | Europe | 2022 | |
| 7 | Australia | 14.8148 | Asia-Pacific | 2022 | |
| 8 | Malta | 14.4144 | Europe | 2022 | |
| 9 | United States | 12.5125 | Americas | 2022 | |
| 10 | Japan | 12.4124 | Asia-Pacific | 2022 | |
| 11 | Germany | 12.3123 | Europe | 2022 | |
| 12 | France | 12.2122 | Europe | 2022 | |
| 13 | Luxembourg | 12.1121 | Europe | 2022 | |
| 14 | Sweden | 11.6116 | Europe | 2019 | |
| 15 | Uruguay | 11.6116 | Americas | 2021 | |
| 16 | New Zealand | 11.4114 | Asia-Pacific | 2022 | |
| 17 | Netherlands | 11.3113 | Europe | 2020 | |
| 18 | Estonia | 11.2112 | Europe | 2021 |
Sources: World Bank WDI indicator SH.MED.NUMW.P3 and the WHO Global Health Observatory nursing-density series. Values are in nurses and midwives per 1,000 (or per 10,000) inhabitants. Because official country reporting years are not fully synchronised, the table should be read as a latest-available comparative layer rather than as a single-year census table. The visible list excludes older legacy observations with much older reporting years. Updated: April 8, 2026.
Chart 1. Highlighted current leaders vs global benchmarks
The bar chart below highlights 10 entries with relatively current WHO country-page reporting and compares them with two reference lines: the OECD average for practising nurses in 2023 (9.2 per 1,000) and the latest available WHO global nursing-personnel density (3.71 per 1,000, converted from 37.1 per 10,000).
Nurses and midwives per 1,000 people. The chart intentionally excludes older legacy rows with pre-2020 observations.
Analytical insights: what drives the top positions
1. Nordic systems still define the upper frontier
Finland, Norway and Iceland remain close to the top because they built nurse-intensive welfare systems around primary care, municipal services, long-term care and broader nurse scope-of-practice. These countries did not arrive at high density by accident; they sustained staffing through deliberate workforce planning.
2. High spending ≠ highest nurse density
The United States spends more on healthcare per capita than any other large system, yet it sits below Finland, Belgium, Norway, Switzerland, Iceland, Ireland, Australia and Malta in this density table. Germany and France also rank below the Nordic leaders despite generous health budgets. Spending level and workforce model are not the same thing.
3. The tighter version of the ranking is more useful
Removing much older legacy rows makes the visible ranking shorter, but it also makes the page more defensible. A cleaner 18-row list built around more current reporting years is more useful than a nominal top 20 that quietly mixes 2022 with much older observations.
4. Post-pandemic pressure still matters even in nurse-dense systems
High nurse density today does not mean workforce stress has been solved. OECD reporting still points to attrition, burnout, retirement pressure and recruitment gaps across many high-income systems, especially where ageing populations continue to push demand upward.
5. International recruitment remains part of the story
Several nurse-dense countries still depend materially on internationally educated nurses. That raises a second-order question: whether destination countries are improving staffing through domestic training and retention, or through recruitment from countries with much weaker workforce capacity.
What this means for you: context and interpretation
If you are using this ranking to compare healthcare systems or assess health workforce policy, keep three things in mind.
For patients and residents:
- Higher nurse density usually supports better continuity of care, stronger prevention and safer hospital staffing.
- National averages still hide local gaps. A rural region in a high-ranking country can remain under-staffed.
For policymakers:
- Countries below roughly 4–5 nurses per 1,000 face structural capacity constraints that cannot be solved by international recruitment alone.
- Countries already in the 10–15 range should read the Nordic leaders as staffing-policy benchmarks, not as unrepeatable curiosities.
For researchers and analysts:
- Always pair nurse density with FTE-adjusted staffing, hospital patient-to-nurse ratios and geographic distribution.
- Cross-country comparisons are strongest when the reporting years are relatively close. That is why this stricter visible list is preferable to a longer, older-mixed ranking.
FAQ: common questions about nurse density
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Why does WHO report nurses per 10,000 instead of per 1,000?
WHO often uses per 10,000 because the resulting numbers are easier to communicate across lower-density countries. The values are directly convertible: multiply the per-1,000 figure by 10.
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Does this ranking include midwives separately from nurses?
No. The World Bank indicator and WHO equivalent combine nurses and midwives into one headcount. In some countries that slightly lifts the figure relative to a nurse-only measure.
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Why were some older high-density rows removed from the visible ranking?
Because the stricter version reduces reliance on much older country observations. Some entries still look high in the international comparative layer, but if the latest visible reporting year is much older than the rest of the table, treating that row as a current peer can be misleading.
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Does higher nurse density automatically mean better health outcomes?
Not automatically, but the overall relationship is broadly positive. Higher staffing tends to support better hospital safety, stronger chronic-care management and wider preventive coverage.
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How often is this data updated?
International datasets refresh when countries submit new observations, so rankings can shift partly because reporting years differ, not only because staffing conditions changed in the same calendar year.
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Is there a WHO-style staffing threshold?
WHO has long used broader combined workforce thresholds for universal health coverage. Every country in the upper visible part of this table is well above those minimum-capacity benchmarks.
Primary data sources
All numerical values are sourced from or cross-referenced against the following official datasets. Readers doing formal statistical or policy work should still consult the original source pages directly.
World Bank — World Development Indicators (WDI)
Indicator SH.MED.NUMW.P3: nurses and midwives per 1,000 people. Core source for the country-level values visible in this ranking.
data.worldbank.org/indicator/SH.MED.NUMW.P3WHO — Global Health Observatory
Nursing and midwifery personnel per 10,000 population; cross-check for country-level values and metadata warnings about coverage and synchronisation.
data.who.int — nursing and midwifery densityOECD — Health at a Glance 2025
Current OECD benchmark for practising nurses per 1,000 population and broader workforce context.
oecd.org — Health at a Glance 2025WHO / ICN — State of the World’s Nursing 2025
Current global nursing-workforce reference used here for the latest available global density benchmark of 37.1 nursing personnel per 10,000 population.
icn.ch — State of the World’s Nursing 2025Our World in Data — Nurses and midwives per 1,000 people
Long-run time-series for historical context and trend validation, based on World Bank WDI data.
ourworldindata.org — nurses and midwivesWHO — Global Code of Practice on the International Recruitment of Health Personnel
Framework on ethical international recruitment cited in the analytical section.
who.int — Global Code of PracticeStatRanker (Website)
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