Nurses and Midwives Density 2009
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 | Norway | 16.45 per 1,000 people | |
2 | Iceland | 16.07 per 1,000 people | |
3 | Switzerland | 14.17 per 1,000 people | |
4 | Ireland | 12.93 per 1,000 people | |
5 | Netherlands | 11.71 per 1,000 people | |
6 | Sweden | 11.54 per 1,000 people | |
7 | Luxembourg | 11.46 per 1,000 people | |
8 | Uzbekistan | 11.22 per 1,000 people | |
9 | Denmark | 11.09 per 1,000 people | |
10 | United States | 10.75 per 1,000 people | |
11 | Australia | 10.73 per 1,000 people | |
12 | Finland | 10.55 per 1,000 people | |
13 | Belarus | 10.42 per 1,000 people | |
14 | New Zealand | 10.3 per 1,000 people | |
15 | Germany | 10.17 per 1,000 people | |
16 | Belgium | 9.925 per 1,000 people | |
17 | Canada | 9.29 per 1,000 people | |
18 | United Kingdom | 8.957 per 1,000 people | |
19 | Czech Republic | 8.528 per 1,000 people | |
20 | France | 8.402 per 1,000 people | |
21 | Slovenia | 8.086 per 1,000 people | |
22 | Azerbaijan | 7.998 per 1,000 people | |
23 | Lithuania | 7.642 per 1,000 people | |
24 | Ukraine | 7.438 per 1,000 people | |
25 | Kazakhstan | 7.368 per 1,000 people | |
26 | Russia | 7.049 per 1,000 people | |
27 | Libya | 6.751 per 1,000 people | |
28 | Austria | 6.695 per 1,000 people | |
29 | Estonia | 6.448 per 1,000 people | |
30 | Malta | 6.445 per 1,000 people | |
31 | Slovakia | 6.402 per 1,000 people | |
32 | Hungary | 6.397 per 1,000 people | |
33 | Republic of Moldova | 6.22 per 1,000 people | |
34 | Romania | 6.145 per 1,000 people | |
35 | Serbia | 6.091 per 1,000 people | |
36 | Palau | 5.989 per 1,000 people | |
37 | Poland | 5.859 per 1,000 people | |
38 | Portugal | 5.635 per 1,000 people | |
39 | Croatia | 5.614 per 1,000 people | |
40 | Kyrgyzstan | 5.614 per 1,000 people | |
41 | Philippines | 5.529 per 1,000 people | |
42 | Montenegro | 5.506 per 1,000 people | |
43 | Italy | 5.466 per 1,000 people | |
44 | Singapore | 5.392 per 1,000 people | |
45 | Maldives | 5.3 per 1,000 people | |
46 | Israel | 5.133 per 1,000 people | |
47 | Bosnia and Herzegovina | 5.113 per 1,000 people | |
48 | Brunei Darussalam | 5.107 per 1,000 people | |
49 | Latvia | 5.102 per 1,000 people | |
50 | Spain | 5.083 per 1,000 people | |
51 | Armenia | 5.079 per 1,000 people | |
52 | Kuwait | 4.849 per 1,000 people | |
53 | Qatar | 4.789 per 1,000 people | |
54 | Bulgaria | 4.708 per 1,000 people | |
55 | Saudi Arabia | 4.578 per 1,000 people | |
56 | South Korea | 4.552 per 1,000 people | |
57 | Oman | 4.508 per 1,000 people | |
58 | Albania | 4.206 per 1,000 people | |
59 | Turkmenistan | 4.137 per 1,000 people | |
60 | North Macedonia | 4.112 per 1,000 people | |
61 | Georgia | 4.095 per 1,000 people | |
62 | Andorra | 3.707 per 1,000 people | |
63 | Mongolia | 3.634 per 1,000 people | |
64 | Micronesia (Fed. States of) | 3.606 per 1,000 people | |
65 | Greece | 3.595 per 1,000 people | |
66 | Tajikistan | 3.537 per 1,000 people | |
67 | Tonga | 3.526 per 1,000 people | |
68 | United Arab Emirates | 3.452 per 1,000 people | |
69 | Cyprus | 3.43 per 1,000 people | |
70 | Jordan | 3.377 per 1,000 people | |
71 | Trinidad and Tobago | 3.325 per 1,000 people | |
72 | Malaysia | 2.98 per 1,000 people | |
73 | Suriname | 2.947 per 1,000 people | |
74 | Botswana | 2.922 per 1,000 people | |
75 | Mauritius | 2.737 per 1,000 people | |
76 | Bahrain | 2.526 per 1,000 people | |
77 | Mexico | 2.372 per 1,000 people | |
78 | Fiji | 2.157 per 1,000 people | |
79 | Turkey | 2.133 per 1,000 people | |
80 | Tunisia | 2.128 per 1,000 people | |
81 | Solomon Islands | 2.085 per 1,000 people | |
82 | Ecuador | 1.873 per 1,000 people | |
83 | Belize | 1.823 per 1,000 people | |
84 | Syrian Arab Republic | 1.778 per 1,000 people | |
85 | Costa Rica | 1.771 per 1,000 people | |
86 | Lebanon | 1.66 per 1,000 people | |
87 | Thailand | 1.612 per 1,000 people | |
88 | Sri Lanka | 1.508 per 1,000 people | |
89 | China | 1.382 per 1,000 people | |
90 | Nicaragua | 1.323 per 1,000 people | |
91 | Angola | 1.32 per 1,000 people | |
92 | Guyana | 1.315 per 1,000 people | |
93 | Dominican Republic | 1.309 per 1,000 people | |
94 | Peru | 1.304 per 1,000 people | |
95 | Ghana | 1.159 per 1,000 people | |
96 | Timor-Leste | 1.149 per 1,000 people | |
97 | Vietnam | 1.116 per 1,000 people | |
98 | Nigeria | 1.025 per 1,000 people | |
99 | Cabo Verde | 0.98 per 1,000 people | |
100 | South Africa | 0.929 per 1,000 people | |
101 | Morocco | 0.927 per 1,000 people | |
102 | Zimbabwe | 0.905 per 1,000 people | |
103 | Myanmar | 0.89 per 1,000 people | |
104 | Guatemala | 0.876 per 1,000 people | |
105 | Liberia | 0.861 per 1,000 people | |
106 | Laos | 0.853 per 1,000 people | |
107 | Colombia | 0.851 per 1,000 people | |
108 | India | 0.851 per 1,000 people | |
109 | Cambodia | 0.844 per 1,000 people | |
110 | Comoros | 0.737 per 1,000 people | |
111 | Zambia | 0.704 per 1,000 people | |
112 | Mauritania | 0.701 per 1,000 people | |
113 | Guinea-Bissau | 0.683 per 1,000 people | |
114 | Rwanda | 0.66 per 1,000 people | |
115 | Afghanistan | 0.628 per 1,000 people | |
116 | Pakistan | 0.492 per 1,000 people | |
117 | Mali | 0.419 per 1,000 people | |
118 | Mozambique | 0.404 per 1,000 people | |
119 | Cameroon | 0.399 per 1,000 people | |
120 | Kenya | 0.395 per 1,000 people | |
121 | Burkina Faso | 0.39 per 1,000 people | |
122 | Congo, Democratic Republic of the | 0.385 per 1,000 people | |
123 | Malawi | 0.334 per 1,000 people | |
124 | Ethiopia | 0.244 per 1,000 people | |
125 | Central African Republic | 0.242 per 1,000 people | |
126 | Madagascar | 0.232 per 1,000 people | |
127 | Niger | 0.203 per 1,000 people | |
128 | Bangladesh | 0.166 per 1,000 people |
- #1
Norway
- #2
Iceland
- #3
Switzerland
- #4
Ireland
- #5
Netherlands
- #6
Sweden
- #7
Luxembourg
- #8
Uzbekistan
- #9
Denmark
- #10
United States
Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.
- #128
Bangladesh
- #127
Niger
- #126
Madagascar
- #125
Central African Republic
- #124
Ethiopia
- #123
Malawi
- #122
Congo, Democratic Republic of the
- #121
Burkina Faso
- #120
Kenya
- #119
Cameroon
Context: These countries or territories have the lowest values, often due to geographic size, administrative status, or specific characteristics.
Analysis & Context
In 2009, Norway led the world in Nurses and Midwives Density with a rate of 16.45 per 1,000 people, while the global range spanned from a minimum of 0.17 to a maximum of 16.45. The average density across the 128 countries with available data was 4.39 per 1,000 people, providing a benchmark for healthcare accessibility worldwide.
Economic Prosperity and Healthcare Workforce
Countries with the highest Nurses and Midwives Density, such as Norway (16.45) and Iceland (16.07), typically enjoy strong economic prosperity. This economic advantage allows for substantial investment in healthcare infrastructure and workforce, contributing to higher densities. For instance, Switzerland, with a density of 14.17, maintains a robust healthcare system supported by its high GDP per capita. The presence of advanced healthcare systems in these nations supports a larger workforce of nurses and midwives, essential for comprehensive health services.
Conversely, lower density figures in countries like Bangladesh (0.166) and Niger (0.203) often reflect economic challenges. Limited financial resources in these regions restrict the ability to train and employ healthcare professionals, thereby impacting accessibility to essential health services. This economic disparity is a significant driver behind the global variation in nurses and midwives density.
Geographic and Demographic Factors
Geographic and demographic factors also play critical roles in shaping Nurses and Midwives Density. Countries with dispersed populations or challenging terrains, such as Malawi (0.334) and Madagascar (0.232), may face logistical challenges in healthcare delivery. The resulting strain on resources can lead to lower densities as healthcare workers are unevenly distributed across vast areas.
In densely populated regions, such as India and parts of Africa, the sheer volume of the population can dilute the density of healthcare workers, even if the absolute number of professionals is relatively high. This situation contrasts with smaller, more homogeneously populated countries like Luxembourg (11.46), where a smaller population allows for a higher concentration of healthcare workers per capita.
Policy and Investment in Healthcare
National policies significantly influence Nurses and Midwives Density. Countries like Uzbekistan (11.22) have invested in healthcare education and training programs, reflecting a strategic approach to boost workforce densities. In contrast, countries with less coordinated healthcare policies, such as the Democratic Republic of the Congo (0.385), struggle to achieve similar densities due to inadequate policy frameworks and investment.
The impact of policy is further illustrated by the substantial year-over-year increases in countries like the Netherlands, which saw a remarkable increase of 3.23 (38.1%). This growth indicates successful policy interventions aimed at expanding the healthcare workforce to meet rising demands.
Year-over-Year Trends and Changes
Analyzing year-over-year changes reveals significant shifts in Nurses and Midwives Density. Liberia experienced the most dramatic increase of 0.60 (236.3%), highlighting efforts to rebuild its healthcare system post-conflict. Such increases often result from targeted international aid and government initiatives aimed at rapidly expanding healthcare capacity.
Conversely, Qatar experienced a notable decrease of 1.12 (-18.9%), which may be attributed to shifts in economic conditions or policy changes affecting workforce retention. Similarly, Nigeria saw a decrease of 0.40 (-28.2%), reflecting broader challenges in retaining skilled healthcare workers amidst economic and infrastructural constraints.
These trends underscore the dynamic nature of healthcare workforce densities, influenced by a complex interplay of economic, policy, and demographic factors. Understanding these patterns is crucial for policymakers aiming to improve healthcare accessibility and workforce distribution worldwide.
Frequently Asked Questions About Nurses and Midwives Density in 2009
Which country had the highest density of nurses and midwives per 1,000 people in 2009?
Norway had the highest density of nurses and midwives in 2009, with 16.45 per 1,000 people.
Which country had the lowest density of nurses and midwives per 1,000 people in 2009?
Bangladesh had the lowest density of nurses and midwives in 2009, with 0.17 per 1,000 people.
What was the average density of nurses and midwives per 1,000 people across countries in 2009?
The average density of nurses and midwives across the 128 countries in 2009 was 4.39 per 1,000 people.
What was the median density of nurses and midwives per 1,000 people in 2009?
The median density of nurses and midwives in 2009 was 3.6 per 1,000 people.
Which countries were among the top 10 for nurses and midwives density in 2009?
Countries among the top 10 for nurses and midwives density in 2009 included Norway, Iceland, and Switzerland.
What was the range of nurses and midwives density per 1,000 people in 2009?
In 2009, the range of nurses and midwives density spanned from 0.17 per 1,000 people in Bangladesh to 16.45 per 1,000 people in Norway.
Insights by country
Belarus
In 2009, Belarus achieved a global rank of #13 with a Nurses and Midwives Density of 10.42 per 1,000 people. This figure is significantly higher than the global average, reflecting the country's commitment to healthcare services. The high density can be attributed to Belarus's robust healthcare policies and government investments in medical education, ensuring a well-trained workforce to meet the health needs of its population.
Ethiopia
Ethiopia's Nurses and Midwives Density in 2009 was 0.244 per 1,000 people, ranking it #124 out of 128 countries. This figure is significantly lower than the global average, indicating a critical shortage of healthcare professionals. Contributing factors include the country's limited healthcare infrastructure, economic constraints, and challenges in training and retaining skilled medical personnel, which hinder access to essential health services for its population.
Canada
In 2009, Canada achieved a global rank of #17 with a Nurses and Midwives Density of 9.29 per 1,000 people. This figure is notably higher than the global average, reflecting Canada's robust healthcare system. Contributing factors include a strong emphasis on public health policy, a well-established education system for healthcare professionals, and a commitment to accessible medical services across the country.
Sri Lanka
Sri Lanka achieved a global rank of #88 with a Nurses and Midwives Density of 1.508 per 1,000 people in 2009. This figure is below the global average, reflecting challenges in healthcare staffing compared to higher-ranked countries, such as Cuba, which has a significantly higher density. Contributing factors to Sri Lanka's density include a focus on improving healthcare access in rural areas, as well as ongoing efforts to enhance the training and distribution of healthcare professionals following the civil conflict that ended in 2009.
Fiji
In 2009, Fiji had a Nurses and Midwives Density of 2.157 per 1,000 people, ranking #78 out of 128 countries. This figure is below the global average, reflecting challenges in healthcare resource allocation compared to higher-ranked nations. Fiji's relatively low density can be attributed to its geographic dispersion of islands, which complicates healthcare delivery, as well as limited economic resources that affect the training and retention of healthcare professionals.
Bangladesh
In 2009, Bangladesh ranked #128 globally for Nurses and Midwives Density, with a value of 0.166 per 1,000 people. This figure places Bangladesh at the bottom of the global ranking, reflecting a significant shortage compared to neighboring countries like India, which has a higher density of healthcare professionals. Contributing factors include limited healthcare funding, high population density, and ongoing challenges in healthcare infrastructure and training programs.
Belize
In 2009, Belize had a Nurses and Midwives Density of 1.823 per 1,000 people, ranking #83 out of 128 countries. This figure is notably lower than the global average, reflecting challenges in healthcare resource allocation. Factors contributing to this density include Belize's limited healthcare infrastructure and a relatively small population, which can restrict the availability of trained medical personnel.
Colombia
In 2009, Colombia ranked #107 globally with a Nurses and Midwives Density of 0.851 per 1,000 people. This figure is below the global average, indicating a shortage of healthcare professionals compared to countries with higher densities, such as Cuba, which is known for its robust healthcare system. Contributing factors include Colombia's ongoing challenges with healthcare access in rural areas and economic constraints that limit investment in health services and workforce training.
China
In 2009, China had a Nurses and Midwives Density of 1.382 per 1,000 people, ranking #89 out of 128 countries. This density is below the global average, indicating challenges in healthcare staffing compared to higher-ranked nations. Contributing factors include rapid urbanization, which has strained healthcare resources, and a historically low investment in healthcare infrastructure relative to its population size.
Lebanon
In 2009, Lebanon's Nurses and Midwives Density was 1.66 per 1,000 people, ranking it #86 out of 128 countries. This figure is below the global average, indicating a potential shortfall in healthcare personnel compared to nations with more robust healthcare systems. Contributing factors include Lebanon's ongoing economic challenges and the impact of regional instability, which have hindered the healthcare sector's growth and 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.