Nurses and Midwives Density 2016

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

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

Interactive Map

Loading interactive map...

Complete Data Rankings

Rank
Actions
1
Switzerland flag
Switzerland
17.34 per 1,000 people
2
Norway flag
Norway
15.75 per 1,000 people
3
Iceland flag
Iceland
15 per 1,000 people
4
Australia flag
Australia
12.37 per 1,000 people
5
Finland flag
Finland
12.09 per 1,000 people
6
Luxembourg flag
Luxembourg
12.08 per 1,000 people
7
Belgium flag
Belgium
12 per 1,000 people
8
Sweden flag
Sweden
11.71 per 1,000 people
9
Denmark flag
Denmark
11.59 per 1,000 people
10
Ireland flag
Ireland
11.57 per 1,000 people
11
Japan flag
Japan
11.57 per 1,000 people
12
United States flag
United States
11.46 per 1,000 people
13
Germany flag
Germany
11.09 per 1,000 people
14
Belarus flag
Belarus
10.89 per 1,000 people
15
Netherlands flag
Netherlands
10.79 per 1,000 people
16
New Zealand flag
New Zealand
10.78 per 1,000 people
17
Canada flag
Canada
9.928 per 1,000 people
18
Slovenia flag
Slovenia
9.757 per 1,000 people
19
Brazil flag
Brazil
9.487 per 1,000 people
20
Russia flag
Russia
9.229 per 1,000 people
21
France flag
France
9.186 per 1,000 people
22
British Virgin Islands flag
British Virgin Islands
9.158 per 1,000 people
23
Saint Vincent and the Grenadines flag
Saint Vincent and the Grenadines
8.664 per 1,000 people
24
Malta flag
Malta
8.601 per 1,000 people
25
Czech Republic flag
Czech Republic
8.327 per 1,000 people
26
United Kingdom flag
United Kingdom
8.326 per 1,000 people
27
Lithuania flag
Lithuania
8.023 per 1,000 people
28
Cuba flag
Cuba
7.907 per 1,000 people
29
China, Hong Kong SAR flag
China, Hong Kong SAR
7.656 per 1,000 people
30
Kazakhstan flag
Kazakhstan
7.269 per 1,000 people
31
Seychelles flag
Seychelles
7.04 per 1,000 people
32
Austria flag
Austria
7.026 per 1,000 people
33
Kuwait flag
Kuwait
7.007 per 1,000 people
34
South Korea flag
South Korea
6.98 per 1,000 people
35
Dominica flag
Dominica
6.853 per 1,000 people
36
Romania flag
Romania
6.803 per 1,000 people
37
Croatia flag
Croatia
6.792 per 1,000 people
38
Portugal flag
Portugal
6.716 per 1,000 people
39
Republic of Moldova flag
Republic of Moldova
6.628 per 1,000 people
40
Hungary flag
Hungary
6.604 per 1,000 people
41
Estonia flag
Estonia
6.436 per 1,000 people
42
Brunei Darussalam flag
Brunei Darussalam
6.354 per 1,000 people
43
Serbia flag
Serbia
6.289 per 1,000 people
44
Singapore flag
Singapore
6.252 per 1,000 people
45
Slovakia flag
Slovakia
6.084 per 1,000 people
46
Saudi Arabia flag
Saudi Arabia
5.989 per 1,000 people
47
Azerbaijan flag
Azerbaijan
5.961 per 1,000 people
48
Italy flag
Italy
5.854 per 1,000 people
49
United Arab Emirates flag
United Arab Emirates
5.733 per 1,000 people
50
Poland flag
Poland
5.716 per 1,000 people
51
Spain flag
Spain
5.673 per 1,000 people
52
Bosnia and Herzegovina flag
Bosnia and Herzegovina
5.653 per 1,000 people
53
Israel flag
Israel
5.438 per 1,000 people
54
Georgia flag
Georgia
5.061 per 1,000 people
55
Qatar flag
Qatar
5.06 per 1,000 people
56
North Macedonia flag
North Macedonia
5.04 per 1,000 people
57
Montenegro flag
Montenegro
5.026 per 1,000 people
58
Armenia flag
Armenia
4.958 per 1,000 people
59
Tajikistan flag
Tajikistan
4.891 per 1,000 people
60
Latvia flag
Latvia
4.842 per 1,000 people
61
Bulgaria flag
Bulgaria
4.803 per 1,000 people
62
Kyrgyzstan flag
Kyrgyzstan
4.778 per 1,000 people
63
Antigua and Barbuda flag
Antigua and Barbuda
4.711 per 1,000 people
64
Philippines flag
Philippines
4.618 per 1,000 people
65
Oman flag
Oman
4.5 per 1,000 people
66
Andorra flag
Andorra
4.474 per 1,000 people
67
Trinidad and Tobago flag
Trinidad and Tobago
4.088 per 1,000 people
68
Mongolia flag
Mongolia
4.086 per 1,000 people
69
Malaysia flag
Malaysia
4.017 per 1,000 people
70
Botswana flag
Botswana
3.977 per 1,000 people
71
Turkmenistan flag
Turkmenistan
3.901 per 1,000 people
72
Cyprus flag
Cyprus
3.836 per 1,000 people
73
China, Macao SAR flag
China, Macao SAR
3.737 per 1,000 people
74
Eswatini flag
Eswatini
3.654 per 1,000 people
75
Albania flag
Albania
3.635 per 1,000 people
76
Greece flag
Greece
3.501 per 1,000 people
77
Argentina flag
Argentina
3.408 per 1,000 people
78
Mauritius flag
Mauritius
3.2 per 1,000 people
79
Chile flag
Chile
3.066 per 1,000 people
80
Panama flag
Panama
2.992 per 1,000 people
81
Mexico flag
Mexico
2.881 per 1,000 people
82
Ecuador flag
Ecuador
2.852 per 1,000 people
83
Thailand flag
Thailand
2.699 per 1,000 people
84
Tunisia flag
Tunisia
2.607 per 1,000 people
85
Costa Rica flag
Costa Rica
2.592 per 1,000 people
86
Maldives flag
Maldives
2.563 per 1,000 people
87
Turkey flag
Turkey
2.516 per 1,000 people
88
China flag
China
2.498 per 1,000 people
89
Gabon flag
Gabon
2.433 per 1,000 people
90
Bahrain flag
Bahrain
2.313 per 1,000 people
91
Algeria flag
Algeria
2.227 per 1,000 people
92
Peru flag
Peru
2.18 per 1,000 people
93
Belize flag
Belize
2.166 per 1,000 people
94
Ghana flag
Ghana
2.053 per 1,000 people
95
Namibia flag
Namibia
1.974 per 1,000 people
96
Suriname flag
Suriname
1.878 per 1,000 people
97
Sri Lanka flag
Sri Lanka
1.869 per 1,000 people
98
El Salvador flag
El Salvador
1.849 per 1,000 people
99
Egypt flag
Egypt
1.789 per 1,000 people
100
Uganda flag
Uganda
1.676 per 1,000 people
101
Nigeria flag
Nigeria
1.67 per 1,000 people
102
Lebanon flag
Lebanon
1.669 per 1,000 people
103
Jamaica flag
Jamaica
1.66 per 1,000 people
104
Iraq flag
Iraq
1.632 per 1,000 people
105
Eritrea flag
Eritrea
1.555 per 1,000 people
106
Bhutan flag
Bhutan
1.51 per 1,000 people
107
Nicaragua flag
Nicaragua
1.483 per 1,000 people
108
India flag
India
1.474 per 1,000 people
109
Vietnam flag
Vietnam
1.441 per 1,000 people
110
Syrian Arab Republic flag
Syrian Arab Republic
1.402 per 1,000 people
111
Cabo Verde flag
Cabo Verde
1.346 per 1,000 people
112
Zimbabwe flag
Zimbabwe
1.345 per 1,000 people
113
South Africa flag
South Africa
1.307 per 1,000 people
114
Colombia flag
Colombia
1.286 per 1,000 people
115
Laos flag
Laos
1.251 per 1,000 people
116
Indonesia flag
Indonesia
1.193 per 1,000 people
117
Cambodia flag
Cambodia
1.124 per 1,000 people
118
Bolivia flag
Bolivia
1.103 per 1,000 people
119
Dominican Republic flag
Dominican Republic
1.101 per 1,000 people
120
Myanmar flag
Myanmar
1.066 per 1,000 people
121
Kenya flag
Kenya
1.056 per 1,000 people
122
Rwanda flag
Rwanda
1.036 per 1,000 people
123
Guatemala flag
Guatemala
1.024 per 1,000 people
124
Congo flag
Congo
0.888 per 1,000 people
125
Paraguay flag
Paraguay
0.763 per 1,000 people
126
Sierra Leone flag
Sierra Leone
0.76 per 1,000 people
127
Guyana flag
Guyana
0.74 per 1,000 people
128
Honduras flag
Honduras
0.721 per 1,000 people
129
Burkina Faso flag
Burkina Faso
0.635 per 1,000 people
130
Yemen flag
Yemen
0.633 per 1,000 people
131
Guinea-Bissau flag
Guinea-Bissau
0.569 per 1,000 people
132
Congo, Democratic Republic of the flag
Congo, Democratic Republic of the
0.556 per 1,000 people
133
Mozambique flag
Mozambique
0.489 per 1,000 people
134
Côte d'Ivoire flag
Côte d'Ivoire
0.467 per 1,000 people
135
Pakistan flag
Pakistan
0.451 per 1,000 people
136
Mali flag
Mali
0.387 per 1,000 people
137
Togo flag
Togo
0.303 per 1,000 people
138
Senegal flag
Senegal
0.299 per 1,000 people
139
Malawi flag
Malawi
0.293 per 1,000 people
140
Niger flag
Niger
0.271 per 1,000 people
141
Bangladesh flag
Bangladesh
0.259 per 1,000 people
142
Benin flag
Benin
0.223 per 1,000 people
143
Chad flag
Chad
0.206 per 1,000 people
144
Afghanistan flag
Afghanistan
0.151 per 1,000 people
145
Guinea flag
Guinea
0.12 per 1,000 people

↑Top 10 Countries

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

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

↓Bottom 10 Countries

  1. #145Guinea flagGuinea
  2. #144Afghanistan flagAfghanistan
  3. #143Chad flagChad
  4. #142Benin flagBenin
  5. #141Bangladesh flagBangladesh
  6. #140Niger flagNiger
  7. #139Malawi flagMalawi
  8. #138Senegal flagSenegal
  9. #137Togo flagTogo
  10. #136Mali flagMali

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

Analysis & Context

In 2016, Switzerland led the world in Nurses and Midwives Density with a remarkable 17.34 healthcare professionals per 1,000 people, while Guinea had the lowest density at 0.12. Globally, the density ranged from 0.12 to 17.34, reflecting significant disparities in healthcare accessibility across different regions. The average density worldwide was 4.59, providing a benchmark for evaluating individual country performances.

Economic Influence on Healthcare Workforce Density

The disparity in Nurses and Midwives Density among countries can often be attributed to economic factors. High-income countries such as Switzerland (17.34), Norway (15.75), and Iceland (15) exhibit the highest densities. These nations have robust healthcare systems supported by substantial financial resources, allowing them to maintain a high ratio of healthcare professionals to the population. The economic strength of these countries facilitates investment in medical education and healthcare infrastructure, ensuring a steady supply of trained professionals.

Conversely, countries with lower economic development, such as Guinea (0.12) and Afghanistan (0.151), struggle to achieve similar densities. Limited financial resources impede the training and retention of healthcare workers, exacerbating existing healthcare challenges. The economic disparity between these groups underscores the critical role of financial capacity in determining healthcare workforce density.

Geographic and Demographic Factors

Geography and demographics also play a significant role in shaping Nurses and Midwives Density. In regions with rugged terrains or dispersed populations, such as parts of Afghanistan and Niger (0.271), providing widespread healthcare access is more challenging. The logistical difficulties in these areas can hinder the efficient deployment of healthcare workers, resulting in lower densities.

On the other hand, countries with smaller populations and more urbanized settings, such as Luxembourg (12.08) and Iceland (15), benefit from concentrated healthcare services. The urbanization in these countries allows for centralized healthcare facilities, which can support higher densities of nurses and midwives. This urban-rural divide highlights the influence of geographic and demographic elements on healthcare accessibility.

Policy and Healthcare System Impacts

National policies and healthcare systems significantly impact Nurses and Midwives Density. Countries with comprehensive healthcare policies, like Australia (12.37) and Sweden (11.71), have established systems that prioritize healthcare access and workforce development. These policies often include incentives for healthcare training and retention, contributing to higher densities.

In contrast, countries like Chad (0.206) and Benin (0.223) may lack the policy frameworks necessary to support a robust healthcare workforce. Inadequate policy support can lead to a shortage of trained professionals and lower density rates. The effectiveness of national healthcare policies is thus a critical determinant of nurses and midwives density.

Year-over-Year Changes and Their Implications

Analyzing year-over-year changes offers insights into countries' progress in addressing healthcare workforce challenges. South Korea experienced a notable increase of +1.01 (17.0%), reflecting successful policy interventions and investments in healthcare education. Similarly, the British Virgin Islands and Slovenia saw increases of +0.99 (12.2%) and +0.88 (10.0%) respectively, indicating improvements in healthcare accessibility.

Conversely, some countries faced declines, such as the Maldives, which experienced a significant decrease of -4.42 (-63.3%). This decline could be attributed to economic challenges or policy shifts that negatively impacted healthcare staffing. Similarly, Iceland and Ireland saw reductions of -1.28 (-7.9%) and -0.78 (-6.3%), respectively, highlighting the fragility of healthcare workforce dynamics in the face of policy or economic changes.

In summary, the 2016 Nurses and Midwives Density data reveals the complex interplay of economic, geographic, and policy factors in shaping healthcare access across the world. Understanding these dynamics is crucial for countries aiming to enhance their healthcare systems and ensure equitable access to healthcare professionals.

Frequently Asked Questions About Nurses and Midwives Density in 2016

Which country had the highest density of nurses and midwives per 1,000 people in 2016?

Switzerland had the highest density of nurses and midwives in 2016, with 17.34 per 1,000 people.

Which country had the lowest density of nurses and midwives per 1,000 people in 2016?

Guinea had the lowest density of nurses and midwives in 2016, with 0.12 per 1,000 people.

What was the average density of nurses and midwives per 1,000 people across all countries in 2016?

The average density of nurses and midwives across all countries was 4.59 per 1,000 people in 2016.

What was the median density of nurses and midwives per 1,000 people in 2016?

The median density of nurses and midwives was 3.74 per 1,000 people in 2016.

Which countries were in the top 3 for nurses and midwives density in 2016?

The top 3 countries for nurses and midwives density in 2016 were Switzerland with 17.34, Norway with 15.75, and Iceland with 15 per 1,000 people.

How many countries were included in the dataset for nurses and midwives density in 2016?

The dataset included 145 countries for nurses and midwives density in 2016.

Insights by country

1

Kenya

In 2016, Kenya had a Nurses and Midwives Density of 1.056 per 1,000 people, ranking #121 out of 145 countries. This figure is notably lower than the global average, which reflects the challenges faced by the healthcare system in Kenya. Contributing factors include limited healthcare funding, a shortage of trained professionals, and significant regional disparities in healthcare access, particularly in rural areas.

2

El Salvador

In 2016, El Salvador had a Nurses and Midwives Density of 1.849 per 1,000 people, ranking #98 out of 145 countries. This figure is below the global average, reflecting challenges in healthcare access compared to regional neighbors like Costa Rica, which has a higher density. Contributing factors include economic constraints and a healthcare system that struggles with resource allocation, particularly in rural areas where medical personnel are scarce.

3

Belarus

In 2016, Belarus achieved a global rank of #14 with a Nurses and Midwives Density of 10.89 per 1,000 people. This figure is significantly higher than the global average, reflecting a robust healthcare system. The high density can be attributed to Belarus's strong emphasis on healthcare access and education, bolstered by government policies that prioritize medical training and workforce development.

4

Maldives

In 2016, Maldives had a Nurses and Midwives Density of 2.563 per 1,000 people, ranking #86 out of 145 countries. This figure is below the global average, indicating challenges in healthcare staffing compared to higher-ranked nations. The relatively low density can be attributed to the country's geographic dispersion, which complicates healthcare delivery, and a limited pool of trained professionals due to economic constraints and educational infrastructure.

5

Czech Republic

The Czech Republic ranked #25 globally for Nurses and Midwives Density in 2016, with a density of 8.327 per 1,000 people. This figure is notably higher than the global average, reflecting a strong healthcare system compared to many countries. Factors contributing to this density include the country's investment in healthcare education and a well-established system for training nursing professionals, which supports a robust healthcare workforce.

6

Guyana

In 2016, Guyana had a Nurses and Midwives Density of 0.74 per 1,000 people, ranking #127 out of 145 countries. This figure is significantly lower than the global average, indicating challenges in healthcare accessibility compared to other nations. Contributing factors include a limited healthcare budget, geographic dispersion of the population, and a shortage of trained medical professionals, which hinder the country's ability to provide adequate maternal and child health services.

7

Iraq

In 2016, Iraq had a Nurses and Midwives Density of 1.632 per 1,000 people, ranking #104 out of 145 countries. This figure is notably lower than the global average, indicating challenges in healthcare staffing compared to more developed nations. Contributing factors include ongoing conflict, economic instability, and a healthcare system that has struggled to recover from years of war, impacting the availability and training of medical professionals.

8

Australia

In 2016, Australia achieved a global rank of #4 with a Nurses and Midwives Density of 12.37 per 1,000 people. This figure is significantly higher than the global average, reflecting Australia's strong healthcare infrastructure. The high density is driven by the country's robust healthcare policies, investment in medical education, and a focus on public health services, ensuring access to care across its diverse population.

9

Denmark

In 2016, Denmark achieved a global rank of #9 with a Nurses and Midwives Density of 11.59 per 1,000 people. This figure is significantly higher than the global average, reflecting Denmark's commitment to providing quality healthcare services. Key drivers of this density include the country's robust healthcare system, high investment in public health, and a strong emphasis on medical education and training.

10

Cyprus

In 2016, Cyprus had a Nurses and Midwives Density of 3.836 per 1,000 people, ranking #72 out of 145 countries. This density is relatively low compared to the European average, reflecting challenges in healthcare staffing. Contributing factors include a small population and a healthcare system that has been undergoing reforms to improve service delivery and efficiency.

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.

More Health Facts