Nurses and Midwives Density 2005
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 | 15.51 per 1,000 people | |
2 | Iceland | 14.75 per 1,000 people | |
3 | Switzerland | 12.93 per 1,000 people | |
4 | Ireland | 12.23 per 1,000 people | |
5 | Luxembourg | 11.29 per 1,000 people | |
6 | Sweden | 11.21 per 1,000 people | |
7 | Uzbekistan | 11.01 per 1,000 people | |
8 | Denmark | 10.75 per 1,000 people | |
9 | United States | 10.41 per 1,000 people | |
10 | Belarus | 9.932 per 1,000 people | |
11 | New Zealand | 9.708 per 1,000 people | |
12 | Australia | 9.707 per 1,000 people | |
13 | United Kingdom | 9.6 per 1,000 people | |
14 | Belgium | 9.466 per 1,000 people | |
15 | Germany | 9.458 per 1,000 people | |
16 | Finland | 9.367 per 1,000 people | |
17 | Canada | 8.691 per 1,000 people | |
18 | Czech Republic | 8.478 per 1,000 people | |
19 | Netherlands | 8.256 per 1,000 people | |
20 | Azerbaijan | 8.186 per 1,000 people | |
21 | France | 7.643 per 1,000 people | |
22 | Lithuania | 7.605 per 1,000 people | |
23 | Slovenia | 7.52 per 1,000 people | |
24 | Russia | 7.086 per 1,000 people | |
25 | Kazakhstan | 6.637 per 1,000 people | |
26 | Estonia | 6.58 per 1,000 people | |
27 | Ukraine | 6.544 per 1,000 people | |
28 | Slovakia | 6.331 per 1,000 people | |
29 | Austria | 6.197 per 1,000 people | |
30 | Hungary | 6.159 per 1,000 people | |
31 | Kyrgyzstan | 6.131 per 1,000 people | |
32 | Qatar | 5.912 per 1,000 people | |
33 | Republic of Moldova | 5.889 per 1,000 people | |
34 | Romania | 5.817 per 1,000 people | |
35 | Serbia | 5.813 per 1,000 people | |
36 | Malta | 5.674 per 1,000 people | |
37 | Poland | 5.645 per 1,000 people | |
38 | Israel | 5.606 per 1,000 people | |
39 | Brunei Darussalam | 5.589 per 1,000 people | |
40 | Croatia | 5.326 per 1,000 people | |
41 | Montenegro | 5.218 per 1,000 people | |
42 | Latvia | 5.204 per 1,000 people | |
43 | Italy | 5.189 per 1,000 people | |
44 | Armenia | 4.947 per 1,000 people | |
45 | Barbados | 4.879 per 1,000 people | |
46 | Singapore | 4.725 per 1,000 people | |
47 | Turkmenistan | 4.655 per 1,000 people | |
48 | Portugal | 4.585 per 1,000 people | |
49 | Bulgaria | 4.508 per 1,000 people | |
50 | Spain | 4.485 per 1,000 people | |
51 | Bosnia and Herzegovina | 4.475 per 1,000 people | |
52 | Seychelles | 4.367 per 1,000 people | |
53 | Georgia | 4.331 per 1,000 people | |
54 | Philippines | 4.193 per 1,000 people | |
55 | South Korea | 3.899 per 1,000 people | |
56 | Oman | 3.771 per 1,000 people | |
57 | Albania | 3.62 per 1,000 people | |
58 | Greece | 3.567 per 1,000 people | |
59 | Andorra | 3.437 per 1,000 people | |
60 | Tajikistan | 3.396 per 1,000 people | |
61 | North Macedonia | 3.355 per 1,000 people | |
62 | Cyprus | 2.988 per 1,000 people | |
63 | United Arab Emirates | 2.951 per 1,000 people | |
64 | Jordan | 2.89 per 1,000 people | |
65 | Bahrain | 2.562 per 1,000 people | |
66 | Malaysia | 2.538 per 1,000 people | |
67 | Botswana | 2.428 per 1,000 people | |
68 | Micronesia (Fed. States of) | 2.345 per 1,000 people | |
69 | Mexico | 2.209 per 1,000 people | |
70 | Panama | 2.015 per 1,000 people | |
71 | Saint Lucia | 1.97 per 1,000 people | |
72 | Syrian Arab Republic | 1.839 per 1,000 people | |
73 | Turkey | 1.756 per 1,000 people | |
74 | Nigeria | 1.472 per 1,000 people | |
75 | Costa Rica | 1.463 per 1,000 people | |
76 | Solomon Islands | 1.437 per 1,000 people | |
77 | Iran | 1.365 per 1,000 people | |
78 | Sri Lanka | 1.361 per 1,000 people | |
79 | Uganda | 1.346 per 1,000 people | |
80 | Iraq | 1.32 per 1,000 people | |
81 | India | 1.283 per 1,000 people | |
82 | Nicaragua | 1.178 per 1,000 people | |
83 | Honduras | 1.043 per 1,000 people | |
84 | China | 1.03 per 1,000 people | |
85 | Lebanon | 1.011 per 1,000 people | |
86 | Laos | 0.975 per 1,000 people | |
87 | Vietnam | 0.859 per 1,000 people | |
88 | Myanmar | 0.77 per 1,000 people | |
89 | South Africa | 0.749 per 1,000 people | |
90 | Zambia | 0.714 per 1,000 people | |
91 | Colombia | 0.678 per 1,000 people | |
92 | Afghanistan | 0.612 per 1,000 people | |
93 | Comoros | 0.58 per 1,000 people | |
94 | Djibouti | 0.536 per 1,000 people | |
95 | Côte d'Ivoire | 0.448 per 1,000 people | |
96 | Rwanda | 0.448 per 1,000 people | |
97 | Gambia | 0.439 per 1,000 people | |
98 | Cameroon | 0.393 per 1,000 people | |
99 | El Salvador | 0.346 per 1,000 people | |
100 | Madagascar | 0.335 per 1,000 people | |
101 | Mozambique | 0.334 per 1,000 people | |
102 | Ethiopia | 0.24 per 1,000 people | |
103 | Bangladesh | 0.139 per 1,000 people |
- #1
Norway
- #2
Iceland
- #3
Switzerland
- #4
Ireland
- #5
Luxembourg
- #6
Sweden
- #7
Uzbekistan
- #8
Denmark
- #9
United States
- #10
Belarus
Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.
- #103
Bangladesh
- #102
Ethiopia
- #101
Mozambique
- #100
Madagascar
- #99
El Salvador
- #98
Cameroon
- #97
Gambia
- #96
Rwanda
- #95
Côte d'Ivoire
- #94
Djibouti
Context: These countries or territories have the lowest values, often due to geographic size, administrative status, or specific characteristics.
Analysis & Context
In 2005, Norway led the world in Nurses and Midwives Density with a value of 15.51 per 1,000 people, while the global range spanned from 0.14 to 15.51. The average density across the 103 countries with available data was 4.67, providing a snapshot of global healthcare accessibility disparities.
Healthcare Access and Economic Prosperity
The correlation between economic prosperity and healthcare resources is evident in the 2005 Nurses and Midwives Density data. Countries with higher economic development, such as Norway (15.51) and Switzerland (12.93), exhibit significantly higher densities. These nations benefit from robust healthcare systems supported by substantial public and private investment. In contrast, Bangladesh, with a density of just 0.14, and Ethiopia at 0.24, reflect the challenges faced by low-income countries in expanding healthcare services. Economic constraints in these regions limit the ability to train and employ sufficient healthcare professionals.
Policy and Demographic Influences
Government policy and demographic factors also play crucial roles in determining Nurses and Midwives Density. Iceland (14.75) and Sweden (11.21) illustrate the impact of comprehensive healthcare policies and a focus on accessible public services. These countries have long histories of prioritizing healthcare, ensuring a high density of medical professionals relative to their populations. Conversely, Mozambique (0.334) and Madagascar (0.335) struggle with less developed healthcare infrastructures, often exacerbated by higher population growth rates and less effective healthcare policies.
Year-over-Year Changes and Trends
Analyzing year-over-year changes provides insights into dynamic shifts within countries. Luxembourg saw the most significant increase in density, rising by 1.93 (20.6%), which can be attributed to targeted investments in healthcare infrastructure and workforce expansion. Uganda experienced a notable increase of 0.65 (92.6%), reflecting efforts to improve healthcare access despite economic challenges. Conversely, Seychelles experienced the most substantial decrease, dropping by 2.82 (-39.2%), possibly due to resource reallocation or policy changes affecting healthcare staffing. Cameroon also saw a significant decline of 1.18 (-74.9%), highlighting potential systemic issues or economic setbacks impacting healthcare delivery.
Regional Disparities and Urbanization
Regional disparities are stark, with countries like Uzbekistan (11.01) showing higher densities in areas with concentrated urban development. Urbanization often correlates with increased healthcare resources due to centralized services and greater economic activity. In contrast, countries such as Rwanda (0.448) and Côte d'Ivoire (0.448) reflect lower densities, indicating rural challenges where healthcare resources are sparse and difficult to access. These disparities highlight the ongoing need for targeted policies that address urban-rural divides in healthcare access.
Overall, the 2005 data on Nurses and Midwives Density underscores the critical role of economic strength, policy frameworks, and demographic factors in shaping healthcare accessibility. As countries continue to develop, addressing these disparities remains essential for improving global health outcomes.
Frequently Asked Questions About Nurses and Midwives Density in 2005
Which country had the highest density of nurses and midwives per 1,000 people in 2005?
Norway had the highest density of nurses and midwives in 2005, with 15.51 per 1,000 people.
Which country had the lowest density of nurses and midwives per 1,000 people in 2005?
Bangladesh had the lowest density of nurses and midwives in 2005, with 0.14 per 1,000 people.
What was the average density of nurses and midwives per 1,000 people across all countries in 2005?
The average density of nurses and midwives across all countries in 2005 was 4.67 per 1,000 people.
What was the median density of nurses and midwives per 1,000 people in 2005?
The median density of nurses and midwives in 2005 was 4.37 per 1,000 people.
Which countries were in the top 3 for nurses and midwives density per 1,000 people in 2005?
The top 3 countries for nurses and midwives density in 2005 were Norway with 15.51, Iceland with 14.75, and Switzerland with 12.93 per 1,000 people.
How many countries were included in the dataset for nurses and midwives density in 2005?
The dataset for nurses and midwives density in 2005 included 103 countries.
Insights by country
Cyprus
In 2005, Cyprus had a Nurses and Midwives Density of 2.988 per 1,000 people, ranking #62 out of 103 countries. This figure is notably lower than the global average, indicating a relative scarcity of healthcare professionals compared to other nations. Contributing factors include Cyprus's small population and economic challenges, which may limit healthcare funding and workforce expansion in the nursing sector.
Madagascar
In 2005, Madagascar had a Nurses and Midwives Density of 0.335 per 1,000 people, ranking #100 out of 103 countries. This figure is significantly lower than many neighboring countries, highlighting a critical gap in healthcare resources in the region. Contributing factors include economic challenges, limited healthcare infrastructure, and a shortage of trained medical professionals, which hinder the country's ability to provide adequate maternal and child health services.
Kyrgyzstan
Kyrgyzstan ranked #31 globally in 2005 with a Nurses and Midwives Density of 6.131 per 1,000 people. This figure is notably higher than many of its Central Asian neighbors, reflecting a relatively robust healthcare workforce in the region. Contributing factors include government investments in healthcare training programs and a focus on improving maternal and child health services, which have prioritized the roles of nurses and midwives in the healthcare system.
Jordan
In 2005, Jordan had a Nurses and Midwives Density of 2.89 per 1,000 people, ranking #64 out of 103 countries. This figure is below the global average, reflecting challenges in healthcare workforce availability compared to higher-ranked nations. Contributing factors include Jordan's economic constraints and the impact of regional conflicts, which have strained healthcare resources and influenced the recruitment and retention of medical professionals.
Czech Republic
In 2005, the Czech Republic ranked #18 globally with a Nurses and Midwives Density of 8.478 per 1,000 people. This figure is notably higher than the global average, reflecting the country's strong healthcare system and emphasis on medical education. Factors contributing to this density include a well-established nursing curriculum and government policies that prioritize healthcare access and workforce training.
Australia
In 2005, Australia ranked #12 globally in Nurses and Midwives Density with a value of 9.707 per 1,000 people. This figure is significantly higher than the global average, reflecting Australia's robust healthcare system. Contributing factors include a well-established education system for healthcare professionals and government policies that prioritize healthcare access and workforce development.
Armenia
In 2005, Armenia had a Nurses and Midwives Density of 4.947 per 1,000 people, ranking #44 out of 103 countries. This figure is slightly below the global average, indicating a need for improvement in healthcare staffing compared to top-performing nations. Contributing factors include Armenia's post-Soviet healthcare transition and economic challenges, which have affected the retention and training of healthcare professionals.
Denmark
In 2005, Denmark achieved a global rank of #8 with a Nurses and Midwives Density of 10.75 per 1,000 people. This figure is significantly higher than the global average, reflecting Denmark's robust healthcare system and investment in medical personnel. The high density can be attributed to the country's strong emphasis on public health policies, a well-established education system for healthcare professionals, and a commitment to universal healthcare access.
Laos
In 2005, Laos had a Nurses and Midwives Density of 0.975 per 1,000 people, ranking #86 out of 103 countries. This figure is significantly lower than the global average, reflecting the challenges faced by the healthcare system in the region. Contributing factors include limited healthcare infrastructure, a shortage of trained professionals, and economic constraints that hinder investment in health services.
Spain
In 2005, Spain had a Nurses and Midwives Density of 4.485 per 1,000 people, ranking #50 out of 103 countries. This figure is below the European average, suggesting a need for improvement in healthcare staffing compared to its neighbors. The relatively high density can be attributed to Spain's robust public healthcare system, which emphasizes accessibility, as well as ongoing investments in healthcare education and training programs.
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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Explore Nurses and Midwives Density data across different years. Compare trends and see how statistics have changed over time.