Nurses and Midwives Density 2017

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

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

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Complete Data Rankings

Rank
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1
Switzerland flag
Switzerland
17.54 per 1,000 people
2
Norway flag
Norway
15.88 per 1,000 people
3
Iceland flag
Iceland
15.29 per 1,000 people
4
Ireland flag
Ireland
14.37 per 1,000 people
5
Australia flag
Australia
12.53 per 1,000 people
6
Finland flag
Finland
12.38 per 1,000 people
7
Luxembourg flag
Luxembourg
12.08 per 1,000 people
8
Belgium flag
Belgium
11.91 per 1,000 people
9
Sweden flag
Sweden
11.68 per 1,000 people
10
Denmark flag
Denmark
11.67 per 1,000 people
11
United States flag
United States
11.55 per 1,000 people
12
Germany flag
Germany
11.31 per 1,000 people
13
Netherlands flag
Netherlands
11.06 per 1,000 people
14
Belarus flag
Belarus
10.91 per 1,000 people
15
New Zealand flag
New Zealand
10.68 per 1,000 people
16
Slovenia flag
Slovenia
10.04 per 1,000 people
17
Canada flag
Canada
9.97 per 1,000 people
18
Brazil flag
Brazil
9.886 per 1,000 people
19
British Virgin Islands flag
British Virgin Islands
9.369 per 1,000 people
20
France flag
France
9.24 per 1,000 people
21
Russia flag
Russia
9.018 per 1,000 people
22
Czech Republic flag
Czech Republic
8.92 per 1,000 people
23
Malta flag
Malta
8.51 per 1,000 people
24
United Kingdom flag
United Kingdom
8.271 per 1,000 people
25
Lithuania flag
Lithuania
8.025 per 1,000 people
26
China, Hong Kong SAR flag
China, Hong Kong SAR
7.886 per 1,000 people
27
Cuba flag
Cuba
7.792 per 1,000 people
28
Kuwait flag
Kuwait
7.175 per 1,000 people
29
Austria flag
Austria
7.107 per 1,000 people
30
Romania flag
Romania
7.104 per 1,000 people
31
South Korea flag
South Korea
7.094 per 1,000 people
32
Croatia flag
Croatia
7.044 per 1,000 people
33
Portugal flag
Portugal
6.929 per 1,000 people
34
Kazakhstan flag
Kazakhstan
6.837 per 1,000 people
35
Republic of Moldova flag
Republic of Moldova
6.645 per 1,000 people
36
Saint Vincent and the Grenadines flag
Saint Vincent and the Grenadines
6.556 per 1,000 people
37
Estonia flag
Estonia
6.537 per 1,000 people
38
Serbia flag
Serbia
6.39 per 1,000 people
39
Libya flag
Libya
6.377 per 1,000 people
40
Dominica flag
Dominica
6.365 per 1,000 people
41
Singapore flag
Singapore
6.359 per 1,000 people
42
Italy flag
Italy
6.089 per 1,000 people
43
Qatar flag
Qatar
6.083 per 1,000 people
44
Brunei Darussalam flag
Brunei Darussalam
5.982 per 1,000 people
45
Slovakia flag
Slovakia
5.973 per 1,000 people
46
Spain flag
Spain
5.895 per 1,000 people
47
United Arab Emirates flag
United Arab Emirates
5.839 per 1,000 people
48
Bosnia and Herzegovina flag
Bosnia and Herzegovina
5.747 per 1,000 people
49
Azerbaijan flag
Azerbaijan
5.712 per 1,000 people
50
Poland flag
Poland
5.658 per 1,000 people
51
Hungary flag
Hungary
5.57 per 1,000 people
52
Israel flag
Israel
5.542 per 1,000 people
53
Palau flag
Palau
5.506 per 1,000 people
54
Trinidad and Tobago flag
Trinidad and Tobago
5.438 per 1,000 people
55
Montenegro flag
Montenegro
5.161 per 1,000 people
56
Georgia flag
Georgia
5.133 per 1,000 people
57
North Macedonia flag
North Macedonia
5.084 per 1,000 people
58
Tajikistan flag
Tajikistan
5.003 per 1,000 people
59
Armenia flag
Armenia
4.898 per 1,000 people
60
Bulgaria flag
Bulgaria
4.828 per 1,000 people
61
Latvia flag
Latvia
4.773 per 1,000 people
62
Antigua and Barbuda flag
Antigua and Barbuda
4.74 per 1,000 people
63
Saudi Arabia flag
Saudi Arabia
4.73 per 1,000 people
64
Philippines flag
Philippines
4.671 per 1,000 people
65
Kyrgyzstan flag
Kyrgyzstan
4.634 per 1,000 people
66
Andorra flag
Andorra
4.499 per 1,000 people
67
Oman flag
Oman
4.394 per 1,000 people
68
North Korea flag
North Korea
4.382 per 1,000 people
69
Mongolia flag
Mongolia
4.153 per 1,000 people
70
Malaysia flag
Malaysia
4.043 per 1,000 people
71
Cyprus flag
Cyprus
3.916 per 1,000 people
72
Turkmenistan flag
Turkmenistan
3.858 per 1,000 people
73
Eswatini flag
Eswatini
3.826 per 1,000 people
74
China, Macao SAR flag
China, Macao SAR
3.754 per 1,000 people
75
Argentina flag
Argentina
3.645 per 1,000 people
76
Maldives flag
Maldives
3.62 per 1,000 people
77
Greece flag
Greece
3.571 per 1,000 people
78
Mauritius flag
Mauritius
3.444 per 1,000 people
79
Chile flag
Chile
3.358 per 1,000 people
80
Saint Lucia flag
Saint Lucia
3.239 per 1,000 people
81
Jordan flag
Jordan
3.213 per 1,000 people
82
Costa Rica flag
Costa Rica
3.124 per 1,000 people
83
Panama flag
Panama
3.093 per 1,000 people
84
Grenada flag
Grenada
2.938 per 1,000 people
85
Mexico flag
Mexico
2.883 per 1,000 people
86
Thailand flag
Thailand
2.876 per 1,000 people
87
Ecuador flag
Ecuador
2.831 per 1,000 people
88
Gabon flag
Gabon
2.82 per 1,000 people
89
Nepal flag
Nepal
2.809 per 1,000 people
90
China flag
China
2.693 per 1,000 people
91
Turkey flag
Turkey
2.647 per 1,000 people
92
State of Palestine flag
State of Palestine
2.573 per 1,000 people
93
Zimbabwe flag
Zimbabwe
2.496 per 1,000 people
94
Iran flag
Iran
2.494 per 1,000 people
95
Tunisia flag
Tunisia
2.467 per 1,000 people
96
Belize flag
Belize
2.409 per 1,000 people
97
Ghana flag
Ghana
2.271 per 1,000 people
98
Peru flag
Peru
2.221 per 1,000 people
99
Algeria flag
Algeria
2.207 per 1,000 people
100
Bahrain flag
Bahrain
2.194 per 1,000 people
101
India flag
India
2.126 per 1,000 people
102
Indonesia flag
Indonesia
2.033 per 1,000 people
103
Namibia flag
Namibia
1.936 per 1,000 people
104
Venezuela flag
Venezuela
1.934 per 1,000 people
105
El Salvador flag
El Salvador
1.915 per 1,000 people
106
Sri Lanka flag
Sri Lanka
1.91 per 1,000 people
107
Suriname flag
Suriname
1.853 per 1,000 people
108
Syrian Arab Republic flag
Syrian Arab Republic
1.827 per 1,000 people
109
Lebanon flag
Lebanon
1.818 per 1,000 people
110
Egypt flag
Egypt
1.792 per 1,000 people
111
Timor-Leste flag
Timor-Leste
1.73 per 1,000 people
112
Iraq flag
Iraq
1.73 per 1,000 people
113
Jamaica flag
Jamaica
1.663 per 1,000 people
114
Bhutan flag
Bhutan
1.616 per 1,000 people
115
Nicaragua flag
Nicaragua
1.569 per 1,000 people
116
Bolivia flag
Bolivia
1.538 per 1,000 people
117
Uganda flag
Uganda
1.505 per 1,000 people
118
Cabo Verde flag
Cabo Verde
1.47 per 1,000 people
119
Eritrea flag
Eritrea
1.437 per 1,000 people
120
Morocco flag
Morocco
1.394 per 1,000 people
121
Colombia flag
Colombia
1.32 per 1,000 people
122
South Africa flag
South Africa
1.294 per 1,000 people
123
Guatemala flag
Guatemala
1.228 per 1,000 people
124
Laos flag
Laos
1.199 per 1,000 people
125
Dominican Republic flag
Dominican Republic
1.123 per 1,000 people
126
Cambodia flag
Cambodia
1.111 per 1,000 people
127
Mauritania flag
Mauritania
1.086 per 1,000 people
128
Kenya flag
Kenya
1.081 per 1,000 people
129
Zambia flag
Zambia
0.9 per 1,000 people
130
Burkina Faso flag
Burkina Faso
0.852 per 1,000 people
131
Congo, Democratic Republic of the flag
Congo, Democratic Republic of the
0.839 per 1,000 people
132
Sierra Leone flag
Sierra Leone
0.81 per 1,000 people
133
Ethiopia flag
Ethiopia
0.804 per 1,000 people
134
Burundi flag
Burundi
0.802 per 1,000 people
135
Paraguay flag
Paraguay
0.8 per 1,000 people
136
Guyana flag
Guyana
0.794 per 1,000 people
137
Honduras flag
Honduras
0.718 per 1,000 people
138
Gambia flag
Gambia
0.661 per 1,000 people
139
Yemen flag
Yemen
0.646 per 1,000 people
140
Tanzania flag
Tanzania
0.574 per 1,000 people
141
Pakistan flag
Pakistan
0.557 per 1,000 people
142
Côte d'Ivoire flag
Côte d'Ivoire
0.508 per 1,000 people
143
Mozambique flag
Mozambique
0.489 per 1,000 people
144
Equatorial Guinea flag
Equatorial Guinea
0.406 per 1,000 people
145
Togo flag
Togo
0.401 per 1,000 people
146
Senegal flag
Senegal
0.312 per 1,000 people
147
Bangladesh flag
Bangladesh
0.304 per 1,000 people
148
Chad flag
Chad
0.223 per 1,000 people
149
Afghanistan flag
Afghanistan
0.179 per 1,000 people

↑Top 10 Countries

  1. #1Switzerland flagSwitzerland
  2. #2Norway flagNorway
  3. #3Iceland flagIceland
  4. #4Ireland flagIreland
  5. #5Australia flagAustralia
  6. #6Finland flagFinland
  7. #7Luxembourg flagLuxembourg
  8. #8Belgium flagBelgium
  9. #9Sweden flagSweden
  10. #10Denmark flagDenmark

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

↓Bottom 10 Countries

  1. #149Afghanistan flagAfghanistan
  2. #148Chad flagChad
  3. #147Bangladesh flagBangladesh
  4. #146Senegal flagSenegal
  5. #145Togo flagTogo
  6. #144Equatorial Guinea flagEquatorial Guinea
  7. #143Mozambique flagMozambique
  8. #142Côte d'Ivoire flagCôte d'Ivoire
  9. #141Pakistan flagPakistan
  10. #140Tanzania flagTanzania

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

Analysis & Context

In 2017, Switzerland led the world in Nurses and Midwives Density with a rate of 17.54 per 1,000 people, while the global range spanned from 0.18 to 17.54. The global average density was 4.62 per 1,000 people, providing a benchmark for healthcare accessibility worldwide.

Economic Prosperity and Healthcare Investment

The countries with the highest density of nurses and midwives, such as Switzerland (17.54), Norway (15.88), and Iceland (15.29), are well-known for their robust healthcare systems, which are supported by strong economic foundations. These nations consistently allocate a substantial portion of their GDP to healthcare, ensuring that medical services are widely accessible. The high density in these countries reflects their commitment to maintaining a well-staffed healthcare infrastructure, which is crucial for providing comprehensive medical care and improving public health outcomes.

Contrastingly, countries like Afghanistan (0.179) and Chad (0.223) face economic challenges that limit their ability to invest in healthcare infrastructure and workforce development. These nations often grapple with limited financial resources, which constrains their capacity to train and employ a sufficient number of healthcare professionals.

Geographic and Demographic Influences

Geographic and demographic factors also play significant roles in determining nurses and midwives density. In densely populated regions such as Bangladesh (0.304), the challenge lies in distributing healthcare resources equitably across vast populations. Urbanization can exacerbate these challenges, as seen in many developing countries where rural areas remain underserved.

In contrast, smaller nations with concentrated populations, like Luxembourg (12.08) and Ireland (14.37), can more effectively manage healthcare distribution, resulting in higher densities. The geographic compactness of these countries facilitates better resource allocation and accessibility, enabling them to maintain higher ratios of healthcare workers to the population.

Policy and Training Programs

Government policies and training programs significantly impact the density of nurses and midwives. Countries with proactive healthcare policies, such as Australia (12.53) and Finland (12.38), often prioritize the education and continuous training of healthcare professionals, leading to higher densities. These nations have established systems that encourage entry into the healthcare profession through incentives and comprehensive training programs.

Conversely, countries like Senegal (0.312) and Togo (0.401) may struggle with policy implementation or face barriers in developing effective training infrastructure, which can hinder the growth of their healthcare workforce. Addressing these challenges through targeted policy reforms and international cooperation could help improve their healthcare worker densities over time.

Year-over-Year Trends and Changes

The year-over-year changes in nurses and midwives density highlight significant improvements and declines across different countries. Ireland experienced a notable increase of 2.80 per 1,000 people (24.2%), attributed to strategic investments in healthcare and workforce expansion initiatives. Similarly, Zimbabwe saw an impressive rise of 1.15 (85.6%), reflecting efforts to rebuild its healthcare system amidst economic recovery.

On the other hand, some countries faced declines. Saint Vincent and the Grenadines experienced a significant decrease of -2.11 (-24.3%), potentially due to economic constraints or shifts in healthcare policy priorities. Saudi Arabia's reduction of -1.26 (-21.0%) might be linked to changes in workforce policies or economic diversification efforts impacting healthcare staffing.

Understanding these trends is crucial for developing strategies to enhance healthcare accessibility worldwide, ensuring that all populations have adequate access to medical professionals.

Frequently Asked Questions About Nurses and Midwives Density in 2017

Which country had the highest nurses and midwives density in 2017?

Switzerland had the highest nurses and midwives density in 2017, with 17.54 per 1,000 people.

Which country had the lowest nurses and midwives density in 2017?

Afghanistan had the lowest nurses and midwives density in 2017, with 0.18 per 1,000 people.

What was the average nurses and midwives density across countries in 2017?

The average nurses and midwives density across countries in 2017 was 4.62 per 1,000 people.

What was the median nurses and midwives density in 2017?

The median nurses and midwives density in 2017 was 3.65 per 1,000 people.

Which countries were in the top 10 for nurses and midwives density in 2017?

The top 10 countries for nurses and midwives density in 2017 included Switzerland, Norway, Iceland, Ireland, Australia, Finland, Luxembourg, Belgium, Sweden, and Denmark.

What was the range of nurses and midwives density in 2017?

In 2017, the range of nurses and midwives density was from 0.18 per 1,000 people in Afghanistan to 17.54 per 1,000 people in Switzerland.

Insights by country

1

Montenegro

In 2017, Montenegro achieved a rank of #55 globally for Nurses and Midwives Density, with a value of 5.161 per 1,000 people. This figure is notably higher than the global average, reflecting a commitment to healthcare access in the region. The density is influenced by Montenegro's relatively small population and ongoing investments in healthcare infrastructure, which aim to improve overall health outcomes and support a growing tourism sector that demands quality medical services.

2

Yemen

In 2017, Yemen had a Nurses and Midwives Density of 0.646 per 1,000 people, ranking #139 out of 149 countries. This figure is significantly lower than many neighboring countries, highlighting a critical gap in healthcare resources. Ongoing conflict, economic instability, and a lack of infrastructure have severely hindered the development of the healthcare system, contributing to this low density of healthcare professionals.

3

Kyrgyzstan

Kyrgyzstan's Nurses and Midwives Density in 2017 was 4.634 per 1,000 people, ranking it #65 out of 149 countries. This figure is below the global average, reflecting challenges in healthcare access compared to neighboring countries like Kazakhstan, which has a higher density of healthcare professionals. Contributing factors include Kyrgyzstan's economic constraints and a healthcare system that has struggled with funding and resource allocation since gaining independence.

4

Luxembourg

In 2017, Luxembourg achieved a global rank of #7 with a Nurses and Midwives Density of 12.08 per 1,000 people. This figure is significantly higher than the global average, reflecting Luxembourg's commitment to healthcare quality. The country's robust healthcare system is supported by substantial public investment and a strong emphasis on training and retaining healthcare professionals, driven by its small population and high demand for medical services.

5

Zambia

Zambia's Nurses and Midwives Density in 2017 was 0.9 per 1,000 people, ranking it #129 out of 149 countries. This figure is significantly lower than the global average, highlighting a critical shortage in healthcare personnel. Contributing factors include limited healthcare funding, a high disease burden, and challenges in training and retaining healthcare workers within the country.

6

Mauritania

Mauritania ranked #127 globally in 2017 with a Nurses and Midwives Density of 1.086 per 1,000 people. This figure is notably lower than the global average, indicating a significant gap in healthcare personnel compared to more developed nations. Contributing factors include economic challenges, a limited healthcare budget, and a lack of training facilities, which hinder the development of the nursing and midwifery workforce in the country.

7

Mongolia

Mongolia ranked #69 globally with a Nurses and Midwives Density of 4.153 per 1,000 people in 2017. This figure is below the global average, reflecting challenges in healthcare access compared to higher-ranked countries like Norway, which leads with significantly more healthcare personnel. Contributing factors to this density include Mongolia's vast geographic expanse and a relatively low population density, which complicate the distribution of healthcare resources and personnel across the country.

8

Pakistan

In 2017, Pakistan had a Nurses and Midwives Density of 0.557 per 1,000 people, ranking #141 out of 149 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, inadequate training facilities, and a high population growth rate, which strains the existing healthcare infrastructure.

9

Latvia

In 2017, Latvia had a Nurses and Midwives Density of 4.773 per 1,000 people, ranking #61 out of 149 countries. This figure is relatively low compared to the European Union average, highlighting potential gaps in healthcare staffing. Contributing factors include Latvia's economic constraints and demographic challenges, such as a declining population and emigration, which impact the healthcare workforce availability.

10

North Macedonia

In 2017, North Macedonia had a Nurses and Midwives Density of 5.084 per 1,000 people, ranking #57 out of 149 countries. This density is below the European average, indicating potential challenges in healthcare accessibility compared to its neighbors. Contributing factors include a relatively small healthcare workforce and ongoing economic transitions that impact public health investments.

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.

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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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