Nurses and Midwives Density 2015

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

144 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
16.89 per 1,000 people
2
Iceland flag
Iceland
16.28 per 1,000 people
3
Norway flag
Norway
15.61 per 1,000 people
4
Ireland flag
Ireland
12.35 per 1,000 people
5
Luxembourg flag
Luxembourg
12.27 per 1,000 people
6
Australia flag
Australia
12.19 per 1,000 people
7
Finland flag
Finland
12.02 per 1,000 people
8
Belgium flag
Belgium
11.82 per 1,000 people
9
Sweden flag
Sweden
11.73 per 1,000 people
10
Denmark flag
Denmark
11.51 per 1,000 people
11
United States flag
United States
11.17 per 1,000 people
12
Belarus flag
Belarus
10.95 per 1,000 people
13
Germany flag
Germany
10.95 per 1,000 people
14
New Zealand flag
New Zealand
10.78 per 1,000 people
15
Netherlands flag
Netherlands
10.64 per 1,000 people
16
Canada flag
Canada
9.872 per 1,000 people
17
Saint Vincent and the Grenadines flag
Saint Vincent and the Grenadines
9.692 per 1,000 people
18
Russia flag
Russia
9.389 per 1,000 people
19
Brazil flag
Brazil
9.234 per 1,000 people
20
France flag
France
9.026 per 1,000 people
21
Slovenia flag
Slovenia
8.873 per 1,000 people
22
Czech Republic flag
Czech Republic
8.432 per 1,000 people
23
United Kingdom flag
United Kingdom
8.36 per 1,000 people
24
British Virgin Islands flag
British Virgin Islands
8.163 per 1,000 people
25
Malta flag
Malta
8.155 per 1,000 people
26
Cuba flag
Cuba
7.982 per 1,000 people
27
Lithuania flag
Lithuania
7.974 per 1,000 people
28
China, Hong Kong SAR flag
China, Hong Kong SAR
7.422 per 1,000 people
29
Kuwait flag
Kuwait
7.154 per 1,000 people
30
Kazakhstan flag
Kazakhstan
7.087 per 1,000 people
31
Austria flag
Austria
7.042 per 1,000 people
32
Maldives flag
Maldives
6.983 per 1,000 people
33
Dominica flag
Dominica
6.776 per 1,000 people
34
Hungary flag
Hungary
6.644 per 1,000 people
35
Romania flag
Romania
6.56 per 1,000 people
36
Portugal flag
Portugal
6.531 per 1,000 people
37
Brunei Darussalam flag
Brunei Darussalam
6.528 per 1,000 people
38
Nauru flag
Nauru
6.364 per 1,000 people
39
Estonia flag
Estonia
6.356 per 1,000 people
40
Serbia flag
Serbia
6.292 per 1,000 people
41
Croatia flag
Croatia
6.265 per 1,000 people
42
Republic of Moldova flag
Republic of Moldova
6.196 per 1,000 people
43
Azerbaijan flag
Azerbaijan
6.149 per 1,000 people
44
Singapore flag
Singapore
6.082 per 1,000 people
45
Slovakia flag
Slovakia
6.026 per 1,000 people
46
Bosnia and Herzegovina flag
Bosnia and Herzegovina
6.023 per 1,000 people
47
South Korea flag
South Korea
5.966 per 1,000 people
48
Poland flag
Poland
5.745 per 1,000 people
49
Italy flag
Italy
5.716 per 1,000 people
50
Spain flag
Spain
5.442 per 1,000 people
51
Israel flag
Israel
5.323 per 1,000 people
52
United Arab Emirates flag
United Arab Emirates
5.321 per 1,000 people
53
Montenegro flag
Montenegro
4.993 per 1,000 people
54
Armenia flag
Armenia
4.961 per 1,000 people
55
Latvia flag
Latvia
4.885 per 1,000 people
56
Bulgaria flag
Bulgaria
4.831 per 1,000 people
57
North Macedonia flag
North Macedonia
4.82 per 1,000 people
58
Kyrgyzstan flag
Kyrgyzstan
4.81 per 1,000 people
59
Antigua and Barbuda flag
Antigua and Barbuda
4.72 per 1,000 people
60
Oman flag
Oman
4.619 per 1,000 people
61
Tajikistan flag
Tajikistan
4.588 per 1,000 people
62
Saint Kitts and Nevis flag
Saint Kitts and Nevis
4.586 per 1,000 people
63
Philippines flag
Philippines
4.528 per 1,000 people
64
Andorra flag
Andorra
4.418 per 1,000 people
65
Georgia flag
Georgia
4.264 per 1,000 people
66
Mongolia flag
Mongolia
4.123 per 1,000 people
67
Malaysia flag
Malaysia
4.013 per 1,000 people
68
Turkmenistan flag
Turkmenistan
3.957 per 1,000 people
69
Cyprus flag
Cyprus
3.841 per 1,000 people
70
China, Macao SAR flag
China, Macao SAR
3.705 per 1,000 people
71
Eswatini flag
Eswatini
3.479 per 1,000 people
72
Greece flag
Greece
3.449 per 1,000 people
73
Trinidad and Tobago flag
Trinidad and Tobago
3.34 per 1,000 people
74
Mauritius flag
Mauritius
3.297 per 1,000 people
75
Argentina flag
Argentina
3.172 per 1,000 people
76
Fiji flag
Fiji
2.853 per 1,000 people
77
Mexico flag
Mexico
2.773 per 1,000 people
78
Panama flag
Panama
2.768 per 1,000 people
79
Chile flag
Chile
2.694 per 1,000 people
80
Tunisia flag
Tunisia
2.618 per 1,000 people
81
Turkey flag
Turkey
2.573 per 1,000 people
82
Ecuador flag
Ecuador
2.504 per 1,000 people
83
Bahrain flag
Bahrain
2.498 per 1,000 people
84
Costa Rica flag
Costa Rica
2.422 per 1,000 people
85
China flag
China
2.322 per 1,000 people
86
Thailand flag
Thailand
2.307 per 1,000 people
87
Sao Tome and Principe flag
Sao Tome and Principe
2.207 per 1,000 people
88
Belize flag
Belize
2.122 per 1,000 people
89
Peru flag
Peru
2.067 per 1,000 people
90
Suriname flag
Suriname
2.007 per 1,000 people
91
Ghana flag
Ghana
1.943 per 1,000 people
92
Sri Lanka flag
Sri Lanka
1.887 per 1,000 people
93
Namibia flag
Namibia
1.838 per 1,000 people
94
Egypt flag
Egypt
1.802 per 1,000 people
95
El Salvador flag
El Salvador
1.798 per 1,000 people
96
Iran flag
Iran
1.796 per 1,000 people
97
Uganda flag
Uganda
1.585 per 1,000 people
98
Iraq flag
Iraq
1.582 per 1,000 people
99
Lebanon flag
Lebanon
1.556 per 1,000 people
100
Jamaica flag
Jamaica
1.497 per 1,000 people
101
Timor-Leste flag
Timor-Leste
1.471 per 1,000 people
102
Gambia flag
Gambia
1.448 per 1,000 people
103
Bhutan flag
Bhutan
1.445 per 1,000 people
104
India flag
India
1.431 per 1,000 people
105
Vietnam flag
Vietnam
1.421 per 1,000 people
106
Nicaragua flag
Nicaragua
1.383 per 1,000 people
107
Zimbabwe flag
Zimbabwe
1.326 per 1,000 people
108
Indonesia flag
Indonesia
1.282 per 1,000 people
109
Cabo Verde flag
Cabo Verde
1.276 per 1,000 people
110
Eritrea flag
Eritrea
1.276 per 1,000 people
111
Dominican Republic flag
Dominican Republic
1.245 per 1,000 people
112
South Africa flag
South Africa
1.239 per 1,000 people
113
Laos flag
Laos
1.21 per 1,000 people
114
Colombia flag
Colombia
1.201 per 1,000 people
115
Bolivia flag
Bolivia
1.176 per 1,000 people
116
Mauritania flag
Mauritania
1.043 per 1,000 people
117
Guatemala flag
Guatemala
0.982 per 1,000 people
118
Rwanda flag
Rwanda
0.965 per 1,000 people
119
Cambodia flag
Cambodia
0.931 per 1,000 people
120
Mozambique flag
Mozambique
0.91 per 1,000 people
121
Congo, Democratic Republic of the flag
Congo, Democratic Republic of the
0.892 per 1,000 people
122
Kenya flag
Kenya
0.88 per 1,000 people
123
Sierra Leone flag
Sierra Leone
0.835 per 1,000 people
124
Sudan flag
Sudan
0.801 per 1,000 people
125
Congo flag
Congo
0.756 per 1,000 people
126
Paraguay flag
Paraguay
0.724 per 1,000 people
127
Guyana flag
Guyana
0.705 per 1,000 people
128
Honduras flag
Honduras
0.654 per 1,000 people
129
Burkina Faso flag
Burkina Faso
0.646 per 1,000 people
130
Yemen flag
Yemen
0.616 per 1,000 people
131
Burundi flag
Burundi
0.613 per 1,000 people
132
Guinea-Bissau flag
Guinea-Bissau
0.54 per 1,000 people
133
Pakistan flag
Pakistan
0.436 per 1,000 people
134
Côte d'Ivoire flag
Côte d'Ivoire
0.431 per 1,000 people
135
Guinea flag
Guinea
0.405 per 1,000 people
136
Togo flag
Togo
0.288 per 1,000 people
137
Haiti flag
Haiti
0.287 per 1,000 people
138
Bangladesh flag
Bangladesh
0.26 per 1,000 people
139
Chad flag
Chad
0.243 per 1,000 people
140
Niger flag
Niger
0.205 per 1,000 people
141
Central African Republic flag
Central African Republic
0.2 per 1,000 people
142
Senegal flag
Senegal
0.192 per 1,000 people
143
Afghanistan flag
Afghanistan
0.132 per 1,000 people
144
Liberia flag
Liberia
0.101 per 1,000 people

↑Top 10 Countries

  1. #1Switzerland flagSwitzerland
  2. #2Iceland flagIceland
  3. #3Norway flagNorway
  4. #4Ireland flagIreland
  5. #5Luxembourg flagLuxembourg
  6. #6Australia flagAustralia
  7. #7Finland flagFinland
  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. #144Liberia flagLiberia
  2. #143Afghanistan flagAfghanistan
  3. #142Senegal flagSenegal
  4. #141Central African Republic flagCentral African Republic
  5. #140Niger flagNiger
  6. #139Chad flagChad
  7. #138Bangladesh flagBangladesh
  8. #137Haiti flagHaiti
  9. #136Togo flagTogo
  10. #135Guinea flagGuinea

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

Analysis & Context

In 2015, Switzerland led the world in Nurses and Midwives Density with a remarkable 16.89 professionals per 1,000 people. The global range spanned from a low of 0.10 to a high of 16.89 across 144 countries. The average density worldwide was approximately 4.43 per 1,000 people, providing insight into global healthcare accessibility.

Economic Prosperity and High Density

Countries with high nurses and midwives density often correlate with economic prosperity and advanced healthcare systems. For instance, Switzerland (16.89), Iceland (16.28), and Norway (15.61) not only top the list but also boast some of the world's highest GDP per capita. This economic strength enables significant investment in healthcare infrastructure, including the education and employment of healthcare professionals. In these nations, robust social welfare systems further support high density by ensuring adequate salaries and working conditions for healthcare workers.

In contrast, countries like Liberia (0.1013) and Afghanistan (0.132) struggle with economic constraints, limiting their ability to train and retain healthcare professionals. These nations often face challenges such as political instability and limited funding, which hinder the development of a robust healthcare workforce.

Geographic and Demographic Influences

Geographic and demographic factors also play a crucial role in determining nurses and midwives density. Countries with smaller populations, such as Luxembourg (12.27) and Iceland (16.28), can achieve higher densities as their healthcare systems are designed to serve fewer people, allowing for more personalized and accessible care. Additionally, these countries often have urban-centric populations, which facilitates the concentration of healthcare resources and personnel.

Conversely, nations like Niger (0.205) and Chad (0.243) with large rural populations face significant logistical challenges in healthcare delivery. Sparse populations spread across vast territories increase the difficulty of maintaining high densities of healthcare workers, as resources must be distributed over larger areas with often inadequate infrastructure.

Policy Drivers and Healthcare Investment

Government policies significantly impact the density of nurses and midwives. Countries with proactive healthcare policies, such as Australia (12.19) and Finland (12.02), often prioritize healthcare funding and workforce development. This commitment is reflected in their high density figures. These nations invest in healthcare education and training, ensuring a steady supply of qualified professionals to meet public health needs.

In contrast, countries like Central African Republic (0.2) and Guinea (0.405) may lack comprehensive policies or face resource constraints that limit their ability to expand their healthcare workforce. Political instability and limited government budgets often exacerbate these challenges, resulting in lower densities.

Significant Year-over-Year Changes

The year-over-year changes in nurses and midwives density reveal dynamic shifts in healthcare accessibility. Russia experienced the most significant increase, with a rise of 4.86 (107.5%), reflecting substantial improvements in healthcare policy and workforce development. Similarly, the Maldives saw a notable increase of 1.33 (23.6%), likely driven by recent healthcare investments and reforms.

Conversely, Norway experienced the largest decrease of 1.83 (-10.5%), which may be attributed to adjustments in healthcare policy or shifts in workforce distribution. Sudan, with a decrease of 0.37 (-31.7%), highlights the impact of political and economic turmoil on healthcare systems, leading to reduced workforce densities.

Overall, these shifts underscore the influence of policy decisions, economic conditions, and demographic factors on the global distribution of nurses and midwives, reflecting broader trends in healthcare accessibility and quality worldwide.

Frequently Asked Questions About Nurses and Midwives Density in 2015

Which country had the highest nurses and midwives density in 2015?

Switzerland had the highest nurses and midwives density in 2015 with 16.89 per 1,000 people.

Which country had the lowest nurses and midwives density in 2015?

Liberia had the lowest nurses and midwives density in 2015 with 0.1 per 1,000 people.

What was the average nurses and midwives density across countries in 2015?

The average nurses and midwives density across countries in 2015 was 4.43 per 1,000 people.

What was the median nurses and midwives density in 2015?

The median nurses and midwives density in 2015 was 3.39 per 1,000 people.

How many countries were included in the nurses and midwives density dataset for 2015?

The dataset for nurses and midwives density in 2015 included 144 countries.

Which countries were in the top 3 for nurses and midwives density in 2015?

The top 3 countries for nurses and midwives density in 2015 were Switzerland, Iceland, and Norway.

Insights by country

1

Laos

In 2015, Laos had a Nurses and Midwives Density of 1.21 per 1,000 people, ranking #113 out of 144 countries. This figure is significantly lower than the global average, indicating challenges in healthcare accessibility. Contributing factors include a limited healthcare budget and a shortage of trained professionals, which are exacerbated by the country's rugged terrain and rural population distribution.

2

Nauru

Nauru achieved a Nurses and Midwives Density of 6.364 per 1,000 people in 2015, ranking #38 out of 144 countries. This figure is notably higher than the global average, reflecting a commitment to healthcare despite Nauru's small population size. The density can be attributed to Nauru's focus on improving health services and the availability of trained professionals, driven by its unique geographic and economic circumstances as a small island nation.

3

Gambia

In 2015, Gambia ranked #102 globally with a Nurses and Midwives Density of 1.448 per 1,000 people. This figure is below the global average, highlighting challenges in healthcare staffing compared to higher-ranked countries. Contributing factors include limited healthcare funding and a shortage of trained professionals, which are exacerbated by economic constraints and a high burden of disease in the region.

4

Lithuania

In 2015, Lithuania achieved a global rank of #27 with a Nurses and Midwives Density of 7.974 per 1,000 people. This figure is notably higher than the global average, reflecting a strong healthcare workforce compared to many countries. Contributing factors include Lithuania's commitment to healthcare reform and investment in medical education, which have effectively increased the number of trained professionals in the sector.

5

China, Hong Kong SAR

In 2015, China, Hong Kong SAR had a Nurses and Midwives Density of 7.422 per 1,000 people, ranking #28 out of 144 countries. This figure is notably higher than the global average, reflecting the region's robust healthcare infrastructure. Contributing factors include a well-developed public health system and significant investment in healthcare services, which support a high standard of medical care and promote the training of healthcare professionals.

6

Jamaica

In 2015, Jamaica ranked #100 globally with a Nurses and Midwives Density of 1.497 per 1,000 people. This figure is below the average for the Caribbean region, indicating a need for improvement in healthcare workforce availability. Contributing factors include limited healthcare funding and challenges in training and retaining medical professionals due to migration for better opportunities abroad.

7

Burundi

In 2015, Burundi had a Nurses and Midwives Density of 0.613 per 1,000 people, ranking #131 out of 144 countries. This figure is significantly lower than the global average, indicating a critical shortage of healthcare professionals. Contributing factors include Burundi's ongoing economic challenges, limited healthcare funding, and a high population growth rate, which strain existing healthcare resources and infrastructure.

8

Namibia

In 2015, Namibia ranked #93 globally with a Nurses and Midwives Density of 1.838 per 1,000 people. This figure is lower than the regional average in Southern Africa, indicating potential challenges in healthcare accessibility. Contributing factors include Namibia's vast geographic expanse and relatively small population, which can hinder the distribution of healthcare professionals, particularly in rural areas.

9

Maldives

In 2015, Maldives achieved a global rank of #32 with a Nurses and Midwives Density of 6.983 per 1,000 people. This figure is notably higher than the global average, reflecting the country's commitment to improving healthcare access. Contributing factors include the Maldives' focus on enhancing healthcare infrastructure and the government's investment in training programs for healthcare professionals, which are essential in a nation with a dispersed island geography.

10

Bosnia and Herzegovina

Bosnia and Herzegovina ranked #46 globally in 2015 with a Nurses and Midwives Density of 6.023 per 1,000 people. This figure is lower than the European average, indicating a need for improved healthcare staffing. Contributing factors include the country's complex political structure and economic challenges, which can impact healthcare funding and workforce development.

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.

More Health Facts