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