Nurses and Midwives Density 2020

Nurses and midwives density measures healthcare accessibility. Learn about countries with the highest and lowest density per 1,000 people.

129 data points••Global Coverage•Nurses and midwives per 1,000 people - Our World in Data•

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Complete Data Rankings

Rank
Actions
1
Switzerland flag
Switzerland
18.71 per 1,000 people
2
Ireland flag
Ireland
18.29 per 1,000 people
3
Iceland flag
Iceland
16.34 per 1,000 people
4
Norway flag
Norway
16.12 per 1,000 people
5
Finland flag
Finland
13.76 per 1,000 people
6
Australia flag
Australia
13.16 per 1,000 people
7
Belgium flag
Belgium
12.82 per 1,000 people
8
Luxembourg flag
Luxembourg
12.77 per 1,000 people
9
Japan flag
Japan
12.35 per 1,000 people
10
United States flag
United States
12.34 per 1,000 people
11
Germany flag
Germany
12.3 per 1,000 people
12
Denmark flag
Denmark
12.02 per 1,000 people
13
Sweden flag
Sweden
11.43 per 1,000 people
14
Netherlands flag
Netherlands
11.21 per 1,000 people
15
New Zealand flag
New Zealand
11.2 per 1,000 people
16
Uzbekistan flag
Uzbekistan
11.08 per 1,000 people
17
Belarus flag
Belarus
10.84 per 1,000 people
18
Austria flag
Austria
10.74 per 1,000 people
19
Slovenia flag
Slovenia
10.61 per 1,000 people
20
Canada flag
Canada
10.08 per 1,000 people
21
France flag
France
9.451 per 1,000 people
22
Czech Republic flag
Czech Republic
9.186 per 1,000 people
23
United Kingdom flag
United Kingdom
8.923 per 1,000 people
24
South Korea flag
South Korea
8.527 per 1,000 people
25
Russia flag
Russia
8.511 per 1,000 people
26
Malta flag
Malta
8.462 per 1,000 people
27
Lithuania flag
Lithuania
8.117 per 1,000 people
28
Romania flag
Romania
7.834 per 1,000 people
29
Cuba flag
Cuba
7.603 per 1,000 people
30
Portugal flag
Portugal
7.5 per 1,000 people
31
Croatia flag
Croatia
7.498 per 1,000 people
32
Uruguay flag
Uruguay
7.35 per 1,000 people
33
Kazakhstan flag
Kazakhstan
6.76 per 1,000 people
34
Estonia flag
Estonia
6.744 per 1,000 people
35
Tajikistan flag
Tajikistan
6.645 per 1,000 people
36
Palau flag
Palau
6.573 per 1,000 people
37
Italy flag
Italy
6.515 per 1,000 people
38
Bosnia and Herzegovina flag
Bosnia and Herzegovina
6.401 per 1,000 people
39
Saudi Arabia flag
Saudi Arabia
6.347 per 1,000 people
40
Serbia flag
Serbia
6.319 per 1,000 people
41
Poland flag
Poland
6.25 per 1,000 people
42
United Arab Emirates flag
United Arab Emirates
6.249 per 1,000 people
43
Spain flag
Spain
6.246 per 1,000 people
44
Singapore flag
Singapore
6.18 per 1,000 people
45
Republic of Moldova flag
Republic of Moldova
6.149 per 1,000 people
46
Slovakia flag
Slovakia
6.119 per 1,000 people
47
Georgia flag
Georgia
5.842 per 1,000 people
48
Albania flag
Albania
5.821 per 1,000 people
49
Azerbaijan flag
Azerbaijan
5.777 per 1,000 people
50
Israel flag
Israel
5.649 per 1,000 people
51
Montenegro flag
Montenegro
5.55 per 1,000 people
52
Hungary flag
Hungary
5.508 per 1,000 people
53
North Macedonia flag
North Macedonia
5.449 per 1,000 people
54
Seychelles flag
Seychelles
5.212 per 1,000 people
55
Maldives flag
Maldives
5.017 per 1,000 people
56
Andorra flag
Andorra
4.845 per 1,000 people
57
Philippines flag
Philippines
4.781 per 1,000 people
58
Armenia flag
Armenia
4.763 per 1,000 people
59
Bulgaria flag
Bulgaria
4.674 per 1,000 people
60
Kuwait flag
Kuwait
4.545 per 1,000 people
61
Tonga flag
Tonga
4.541 per 1,000 people
62
Oman flag
Oman
4.447 per 1,000 people
63
Barbados flag
Barbados
4.413 per 1,000 people
64
Latvia flag
Latvia
4.391 per 1,000 people
65
Argentina flag
Argentina
4.351 per 1,000 people
66
Chile flag
Chile
4.289 per 1,000 people
67
Kyrgyzstan flag
Kyrgyzstan
4.147 per 1,000 people
68
Tuvalu flag
Tuvalu
3.942 per 1,000 people
69
Indonesia flag
Indonesia
3.935 per 1,000 people
70
Greece flag
Greece
3.927 per 1,000 people
71
Malaysia flag
Malaysia
3.903 per 1,000 people
72
Cyprus flag
Cyprus
3.85 per 1,000 people
73
Turkmenistan flag
Turkmenistan
3.589 per 1,000 people
74
Panama flag
Panama
3.54 per 1,000 people
75
Ghana flag
Ghana
3.528 per 1,000 people
76
Guyana flag
Guyana
3.439 per 1,000 people
77
Nepal flag
Nepal
3.362 per 1,000 people
78
Turkey flag
Turkey
3.326 per 1,000 people
79
China flag
China
3.302 per 1,000 people
80
Botswana flag
Botswana
3.285 per 1,000 people
81
Costa Rica flag
Costa Rica
3.064 per 1,000 people
82
Samoa flag
Samoa
3.058 per 1,000 people
83
Mexico flag
Mexico
2.937 per 1,000 people
84
Bahrain flag
Bahrain
2.648 per 1,000 people
85
Gabon flag
Gabon
2.645 per 1,000 people
86
Eswatini flag
Eswatini
2.446 per 1,000 people
87
Sri Lanka flag
Sri Lanka
2.368 per 1,000 people
88
Namibia flag
Namibia
2.362 per 1,000 people
89
Peru flag
Peru
2.348 per 1,000 people
90
Guatemala flag
Guatemala
2.308 per 1,000 people
91
Iraq flag
Iraq
2.279 per 1,000 people
92
Bhutan flag
Bhutan
2.082 per 1,000 people
93
Tunisia flag
Tunisia
2.074 per 1,000 people
94
Zimbabwe flag
Zimbabwe
2.029 per 1,000 people
95
Dominican Republic flag
Dominican Republic
1.892 per 1,000 people
96
Belize flag
Belize
1.881 per 1,000 people
97
Timor-Leste flag
Timor-Leste
1.738 per 1,000 people
98
Cabo Verde flag
Cabo Verde
1.725 per 1,000 people
99
India flag
India
1.72 per 1,000 people
100
Syrian Arab Republic flag
Syrian Arab Republic
1.719 per 1,000 people
101
Uganda flag
Uganda
1.684 per 1,000 people
102
Jamaica flag
Jamaica
1.64 per 1,000 people
103
Zambia flag
Zambia
1.626 per 1,000 people
104
Comoros flag
Comoros
1.582 per 1,000 people
105
Bolivia flag
Bolivia
1.465 per 1,000 people
106
Colombia flag
Colombia
1.414 per 1,000 people
107
Laos flag
Laos
1.179 per 1,000 people
108
Mauritania flag
Mauritania
1.156 per 1,000 people
109
South Africa flag
South Africa
1.008 per 1,000 people
110
Burundi flag
Burundi
0.946 per 1,000 people
111
Rwanda flag
Rwanda
0.919 per 1,000 people
112
Burkina Faso flag
Burkina Faso
0.916 per 1,000 people
113
Guinea-Bissau flag
Guinea-Bissau
0.773 per 1,000 people
114
Ethiopia flag
Ethiopia
0.758 per 1,000 people
115
South Sudan flag
South Sudan
0.706 per 1,000 people
116
Gambia flag
Gambia
0.703 per 1,000 people
117
Malawi flag
Malawi
0.694 per 1,000 people
118
Côte d'Ivoire flag
Côte d'Ivoire
0.683 per 1,000 people
119
Liberia flag
Liberia
0.639 per 1,000 people
120
Kenya flag
Kenya
0.59 per 1,000 people
121
Bangladesh flag
Bangladesh
0.548 per 1,000 people
122
Mozambique flag
Mozambique
0.492 per 1,000 people
123
Yemen flag
Yemen
0.491 per 1,000 people
124
Cameroon flag
Cameroon
0.486 per 1,000 people
125
Togo flag
Togo
0.484 per 1,000 people
126
Nigeria flag
Nigeria
0.394 per 1,000 people
127
Senegal flag
Senegal
0.349 per 1,000 people
128
Sierra Leone flag
Sierra Leone
0.212 per 1,000 people
129
Chad flag
Chad
0.194 per 1,000 people

↑Top 10 Countries

  1. #1Switzerland flagSwitzerland
  2. #2Ireland flagIreland
  3. #3Iceland flagIceland
  4. #4Norway flagNorway
  5. #5Finland flagFinland
  6. #6Australia flagAustralia
  7. #7Belgium flagBelgium
  8. #8Luxembourg flagLuxembourg
  9. #9Japan flagJapan
  10. #10United States flagUnited States

Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.

↓Bottom 10 Countries

  1. #129Chad flagChad
  2. #128Sierra Leone flagSierra Leone
  3. #127Senegal flagSenegal
  4. #126Nigeria flagNigeria
  5. #125Togo flagTogo
  6. #124Cameroon flagCameroon
  7. #123Yemen flagYemen
  8. #122Mozambique flagMozambique
  9. #121Bangladesh flagBangladesh
  10. #120Kenya flagKenya

Context: These countries or territories have the lowest values, often due to geographic size, administrative status, or specific characteristics.

Analysis & Context

In 2020, Switzerland led the world in Nurses and Midwives Density with a density of 18.71 per 1,000 people, while the global range spanned from a low of 0.19 to this high. The global average density was 5.18 per 1,000 people, providing a benchmark for evaluating healthcare accessibility worldwide.

Economic Factors Influencing High Density

The countries with the highest density of nurses and midwives, such as Switzerland (18.71), Ireland (18.29), and Iceland (16.34), are predominantly high-income nations. These countries allocate substantial resources to healthcare infrastructure, which supports a higher workforce density. Economic stability allows for better training facilities, attractive salaries, and working conditions that draw more individuals into the healthcare profession. For example, Norway (16.12) and Finland (13.76) benefit from robust public healthcare systems funded by their strong economies, ensuring a high availability of medical professionals.

Challenges in Low-Density Regions

In contrast, countries at the lower end of the spectrum, such as Chad (0.19) and Sierra Leone (0.21), face significant challenges. These nations often grapple with limited financial resources, political instability, and inadequate healthcare infrastructure. Such conditions make it difficult to train and retain healthcare workers. The density in Nigeria (0.39) is particularly concerning given its status as Africa's largest economy, highlighting disparities within the nation and the need for targeted healthcare investments to improve accessibility.

Policy and Demographic Drivers

Government policies and demographic factors also play a critical role in shaping nurses and midwives density. Countries like Australia (13.16) and Japan (12.35) have implemented policies that emphasize healthcare workforce expansion to cater to aging populations. These policies include incentives for healthcare education and immigration policies that attract foreign-trained professionals. On the other hand, countries with young and rapidly growing populations, such as Bangladesh (0.55), struggle to meet the burgeoning demand for healthcare services, leading to lower densities.

Year-over-Year Trends and Significant Changes

The year-over-year changes in density reveal interesting trends. Ireland experienced the most significant increase, rising by 2.81 (18.2%), likely due to strategic investments in healthcare workforce expansion. In contrast, Nigeria saw a substantial decrease of 0.68 (-63.2%), which could be attributed to systemic issues such as emigration of healthcare workers and insufficient training facilities. Similarly, Sierra Leone experienced a notable decline of 0.65 (-75.5%), emphasizing the fragility of healthcare systems in low-income countries.

Understanding these patterns in Nurses and Midwives Density is crucial for global health planning. High-density countries demonstrate the benefits of economic investment and policy focus on healthcare, while low-density regions highlight areas where international support and strategic development could make a significant impact in improving health outcomes.

Frequently Asked Questions About Nurses and Midwives Density in 2020

Which country had the highest density of nurses and midwives in 2020?

Switzerland had the highest density of nurses and midwives in 2020, with 18.71 per 1,000 people.

Which country had the lowest density of nurses and midwives in 2020?

Chad had the lowest density of nurses and midwives in 2020, with 0.19 per 1,000 people.

What was the average density of nurses and midwives across countries in 2020?

The average density of nurses and midwives across countries in 2020 was 5.18 per 1,000 people.

What was the median density of nurses and midwives in 2020?

The median density of nurses and midwives in 2020 was 4.35 per 1,000 people.

Which countries were in the top 3 for nurses and midwives density in 2020?

The top 3 countries for nurses and midwives density in 2020 were Switzerland, Ireland, and Iceland.

How many countries were included in the nurses and midwives density dataset for 2020?

The dataset for nurses and midwives density in 2020 included 129 countries.

Insights by country

1

Tajikistan

Tajikistan ranks #35 globally in 2020 with a Nurses and Midwives Density of 6.645 per 1,000 people. This figure is notably higher than the global average, reflecting a commitment to improving healthcare access in the region. Key drivers include government investment in health services and a focus on maternal and child health, which are critical in a country with a young population and high fertility rates.

2

Switzerland

In 2020, Switzerland achieved a remarkable global rank of #1 with a Nurses and Midwives Density of 18.71 per 1,000 people. This figure significantly exceeds the global average and highlights the country's robust healthcare system. Switzerland's high density of healthcare professionals is driven by its strong investment in healthcare services, a well-structured education system for medical professionals, and a commitment to maintaining high standards in public health.

3

Malawi

In 2020, Malawi ranked #117 globally with a Nurses and Midwives Density of 0.694 per 1,000 people. This figure is significantly lower than the global average, reflecting challenges in healthcare staffing compared to countries like Norway, which leads with over 17 nurses per 1,000 people. Contributing factors to Malawi's low density include a high burden of disease, limited healthcare funding, and a shortage of trained professionals, which hinder the country's ability to provide adequate maternal and child health services.

4

Tonga

Tonga's Nurses and Midwives Density in 2020 was 4.541 per 1,000 people, ranking #61 out of 129 countries. This figure is notably higher than some neighboring Pacific nations, reflecting Tonga's commitment to improving healthcare access. Contributing factors include a relatively small population that allows for targeted healthcare initiatives and a focus on training local healthcare professionals to address community needs.

5

United Arab Emirates

The United Arab Emirates ranked #42 globally with a Nurses and Midwives Density of 6.249 per 1,000 people in 2020. This figure is relatively high compared to some neighboring countries, reflecting the UAE's commitment to healthcare as part of its rapid development. The density is driven by substantial investments in healthcare infrastructure and a growing expatriate population, which has increased demand for medical professionals.

6

Sierra Leone

Sierra Leone's Nurses and Midwives Density in 2020 was 0.212 per 1,000 people, ranking #128 out of 129 countries. This figure is significantly below the global average, highlighting a critical shortage in healthcare personnel compared to countries with more robust health systems. Contributing factors include ongoing economic challenges, a history of civil conflict, and limited investment in healthcare infrastructure, which have hindered the training and retention of medical staff.

7

Uganda

In 2020, Uganda ranked #101 globally with a Nurses and Midwives Density of 1.684 per 1,000 people. This figure is significantly lower than the global average, reflecting challenges in healthcare staffing across the region. Contributing factors include limited healthcare funding, a high population growth rate, and ongoing issues related to training and retention of healthcare professionals.

8

Togo

Togo's Nurses and Midwives Density in 2020 was 0.484 per 1,000 people, ranking it #125 out of 129 countries. This figure is significantly lower than the global average, indicating a critical shortage of healthcare professionals in the country. Contributing factors include limited healthcare funding, a high burden of disease, and challenges in training and retaining qualified personnel, which hinder the development of a robust healthcare system.

9

Singapore

In 2020, Singapore achieved a global rank of #44 with a Nurses and Midwives Density of 6.18 per 1,000 people. This figure is notably higher than the global average, reflecting the country's robust healthcare infrastructure. The high density can be attributed to Singapore's significant investment in healthcare services and a proactive approach to health policy, ensuring adequate staffing levels to meet the needs of its population.

10

Tunisia

Tunisia's Nurses and Midwives Density in 2020 was 2.074 per 1,000 people, ranking it #93 out of 129 countries. This figure is below the global average, indicating a shortage of healthcare professionals compared to countries with higher healthcare access. Contributing factors include Tunisia's economic challenges and a healthcare system that has faced pressures from population growth and urbanization, which complicate the delivery of adequate medical services.

Data Source

Nurses and midwives per 1,000 people - Our World in Data

Our World in Data is a research organization that provides comprehensive data and visualizations on global development issues. The dataset on nurses and midwives per 1,000 people offers insights into healthcare workforce distribution across various countries, highlighting trends and disparities in healthcare access.

Visit Data Source

Historical Data by Year

Explore Nurses and Midwives Density data across different years. Compare trends and see how statistics have changed over time.

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