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