Nurses and Midwives Density 2004
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 | 15.09 per 1,000 people | |
2 | Iceland | 14.45 per 1,000 people | |
3 | Switzerland | 12.73 per 1,000 people | |
4 | Ireland | 12.35 per 1,000 people | |
5 | Sweden | 11.01 per 1,000 people | |
6 | Uzbekistan | 10.71 per 1,000 people | |
7 | Denmark | 10.61 per 1,000 people | |
8 | United States | 10.3 per 1,000 people | |
9 | Australia | 10.15 per 1,000 people | |
10 | Belarus | 9.808 per 1,000 people | |
11 | United Kingdom | 9.484 per 1,000 people | |
12 | New Zealand | 9.423 per 1,000 people | |
13 | Luxembourg | 9.359 per 1,000 people | |
14 | Germany | 9.294 per 1,000 people | |
15 | Belgium | 9.233 per 1,000 people | |
16 | Finland | 8.99 per 1,000 people | |
17 | Japan | 8.961 per 1,000 people | |
18 | Czech Republic | 8.486 per 1,000 people | |
19 | Canada | 8.471 per 1,000 people | |
20 | Netherlands | 8.189 per 1,000 people | |
21 | Azerbaijan | 8.152 per 1,000 people | |
22 | Lithuania | 7.571 per 1,000 people | |
23 | France | 7.463 per 1,000 people | |
24 | Slovenia | 7.435 per 1,000 people | |
25 | Seychelles | 7.188 per 1,000 people | |
26 | Russia | 7.111 per 1,000 people | |
27 | Slovakia | 6.649 per 1,000 people | |
28 | Estonia | 6.542 per 1,000 people | |
29 | Kazakhstan | 6.523 per 1,000 people | |
30 | Ukraine | 6.496 per 1,000 people | |
31 | Kyrgyzstan | 6.39 per 1,000 people | |
32 | Eswatini | 6.362 per 1,000 people | |
33 | Nauru | 6.238 per 1,000 people | |
34 | Austria | 6.129 per 1,000 people | |
35 | Palau | 6.061 per 1,000 people | |
36 | Serbia | 6.003 per 1,000 people | |
37 | Hungary | 5.985 per 1,000 people | |
38 | Romania | 5.67 per 1,000 people | |
39 | Israel | 5.532 per 1,000 people | |
40 | Poland | 5.509 per 1,000 people | |
41 | Malta | 5.502 per 1,000 people | |
42 | Brunei Darussalam | 5.455 per 1,000 people | |
43 | Republic of Moldova | 5.338 per 1,000 people | |
44 | Italy | 5.327 per 1,000 people | |
45 | Croatia | 5.29 per 1,000 people | |
46 | Latvia | 5.082 per 1,000 people | |
47 | Suriname | 5.02 per 1,000 people | |
48 | Turkmenistan | 4.964 per 1,000 people | |
49 | Armenia | 4.826 per 1,000 people | |
50 | Gabon | 4.768 per 1,000 people | |
51 | Libya | 4.734 per 1,000 people | |
52 | Singapore | 4.632 per 1,000 people | |
53 | Saint Vincent and the Grenadines | 4.468 per 1,000 people | |
54 | Spain | 4.425 per 1,000 people | |
55 | Bosnia and Herzegovina | 4.372 per 1,000 people | |
56 | Portugal | 4.368 per 1,000 people | |
57 | Georgia | 4.339 per 1,000 people | |
58 | Bulgaria | 4.282 per 1,000 people | |
59 | Philippines | 4.156 per 1,000 people | |
60 | South Korea | 3.858 per 1,000 people | |
61 | Brazil | 3.756 per 1,000 people | |
62 | Mauritius | 3.684 per 1,000 people | |
63 | Oman | 3.637 per 1,000 people | |
64 | Albania | 3.594 per 1,000 people | |
65 | Greece | 3.531 per 1,000 people | |
66 | North Macedonia | 3.482 per 1,000 people | |
67 | Tajikistan | 3.46 per 1,000 people | |
68 | Cyprus | 3.19 per 1,000 people | |
69 | Namibia | 3.164 per 1,000 people | |
70 | Jordan | 3.094 per 1,000 people | |
71 | United Arab Emirates | 3.079 per 1,000 people | |
72 | Andorra | 2.988 per 1,000 people | |
73 | Maldives | 2.94 per 1,000 people | |
74 | Tunisia | 2.807 per 1,000 people | |
75 | Kiribati | 2.706 per 1,000 people | |
76 | Botswana | 2.63 per 1,000 people | |
77 | Malaysia | 2.378 per 1,000 people | |
78 | Saint Lucia | 2.284 per 1,000 people | |
79 | Mexico | 2.115 per 1,000 people | |
80 | Panama | 2.002 per 1,000 people | |
81 | Sao Tome and Principe | 1.953 per 1,000 people | |
82 | Timor-Leste | 1.932 per 1,000 people | |
83 | Syrian Arab Republic | 1.86 per 1,000 people | |
84 | Egypt | 1.847 per 1,000 people | |
85 | Vanuatu | 1.75 per 1,000 people | |
86 | Turkey | 1.735 per 1,000 people | |
87 | Sri Lanka | 1.654 per 1,000 people | |
88 | Cameroon | 1.568 per 1,000 people | |
89 | Thailand | 1.478 per 1,000 people | |
90 | Costa Rica | 1.437 per 1,000 people | |
91 | Iran | 1.37 per 1,000 people | |
92 | India | 1.208 per 1,000 people | |
93 | Sudan | 1.031 per 1,000 people | |
94 | Congo | 1.03 per 1,000 people | |
95 | Comoros | 1.013 per 1,000 people | |
96 | China | 1.005 per 1,000 people | |
97 | Angola | 0.994 per 1,000 people | |
98 | Laos | 0.969 per 1,000 people | |
99 | Eritrea | 0.964 per 1,000 people | |
100 | Ghana | 0.901 per 1,000 people | |
101 | Cabo Verde | 0.874 per 1,000 people | |
102 | Morocco | 0.812 per 1,000 people | |
103 | Guinea-Bissau | 0.794 per 1,000 people | |
104 | Bhutan | 0.792 per 1,000 people | |
105 | South Africa | 0.72 per 1,000 people | |
106 | Benin | 0.71 per 1,000 people | |
107 | Uganda | 0.699 per 1,000 people | |
108 | Mauritania | 0.66 per 1,000 people | |
109 | Colombia | 0.636 per 1,000 people | |
110 | Mali | 0.636 per 1,000 people | |
111 | Yemen | 0.622 per 1,000 people | |
112 | Malawi | 0.581 per 1,000 people | |
113 | Congo, Democratic Republic of the | 0.529 per 1,000 people | |
114 | Côte d'Ivoire | 0.52 per 1,000 people | |
115 | Burkina Faso | 0.486 per 1,000 people | |
116 | Guinea | 0.486 per 1,000 people | |
117 | Kenya | 0.465 per 1,000 people | |
118 | Nepal | 0.455 per 1,000 people | |
119 | Gambia | 0.429 per 1,000 people | |
120 | Pakistan | 0.419 per 1,000 people | |
121 | Rwanda | 0.413 per 1,000 people | |
122 | Central African Republic | 0.385 per 1,000 people | |
123 | Djibouti | 0.358 per 1,000 people | |
124 | Togo | 0.34 per 1,000 people | |
125 | Liberia | 0.328 per 1,000 people | |
126 | Mozambique | 0.328 per 1,000 people | |
127 | Equatorial Guinea | 0.301 per 1,000 people | |
128 | Senegal | 0.3 per 1,000 people | |
129 | Madagascar | 0.273 per 1,000 people | |
130 | Chad | 0.252 per 1,000 people | |
131 | Sierra Leone | 0.226 per 1,000 people | |
132 | Niger | 0.212 per 1,000 people | |
133 | Ethiopia | 0.204 per 1,000 people | |
134 | Burundi | 0.189 per 1,000 people |
- #1
Norway
- #2
Iceland
- #3
Switzerland
- #4
Ireland
- #5
Sweden
- #6
Uzbekistan
- #7
Denmark
- #8
United States
- #9
Australia
- #10
Belarus
Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.
- #134
Burundi
- #133
Ethiopia
- #132
Niger
- #131
Sierra Leone
- #130
Chad
- #129
Madagascar
- #128
Senegal
- #127
Equatorial Guinea
- #126
Mozambique
- #125
Liberia
Context: These countries or territories have the lowest values, often due to geographic size, administrative status, or specific characteristics.
Analysis & Context
In 2004, Norway led the world in Nurses and Midwives Density with a remarkable 15.09 per 1,000 people, showcasing its robust healthcare system. The global range for this metric spanned from a low of 0.19 to a high of 15.09 per 1,000 people. The average density across the 134 countries with available data was 4.01 per 1,000 people, providing a baseline for assessing healthcare accessibility worldwide.
Economic Prosperity and Healthcare Workforce
The countries with the highest densities of nurses and midwives, such as Norway (15.09), Iceland (14.45), and Switzerland (12.73), are among the world's wealthiest nations. Their substantial investment in healthcare infrastructure and workforce reflects their economic capabilities. These countries benefit from well-funded public health systems that prioritize comprehensive healthcare access and quality service delivery. Furthermore, a high density of healthcare professionals often correlates with better health outcomes, as it allows for more personalized and timely care.
Conversely, countries with the lowest densities, such as Burundi (0.19), Ethiopia (0.20), and Niger (0.21), face significant economic challenges. Limited resources in these nations often lead to underfunded healthcare systems, which struggle to attract and retain qualified healthcare professionals. This deficiency directly impacts healthcare accessibility and quality, contributing to poorer health outcomes.
Geographic and Demographic Influences
Geography and demographics also play crucial roles in determining nurses and midwives density. For instance, Australia (10.15) and United States (10.3) demonstrate high densities, supported by their extensive urbanization and infrastructure development. Urban centers typically offer better employment opportunities and living conditions for healthcare professionals, attracting a more substantial workforce.
In contrast, countries like Chad (0.25) and Mozambique (0.33) face geographic challenges that hinder healthcare delivery, such as remote rural areas and inadequate transportation networks. These factors can deter healthcare professionals from working in these regions, further exacerbating the scarcity of healthcare services.
Policy and Workforce Changes
The year-over-year changes in nurses and midwives density reveal significant policy and workforce shifts. Belgium experienced the largest increase, growing by 3.40 (58.4%), possibly due to targeted policy initiatives aimed at expanding the healthcare workforce. Similarly, Mauritius saw a 1.30 (54.7%) increase, reflecting efforts to improve healthcare accessibility through workforce expansion.
Conversely, Turkmenistan witnessed the most significant decrease, with a reduction of 2.58 (-34.2%), indicating potential systemic issues within its healthcare policies or economic difficulties impacting its ability to maintain healthcare staffing levels. Ireland also experienced a notable decrease of 2.42 (-16.4%), which may reflect policy shifts or budgetary constraints affecting healthcare staffing.
Implications for Global Health
The density of nurses and midwives is a critical indicator of healthcare accessibility and quality. Countries with higher densities, like Norway and Iceland, set benchmarks for healthcare provision, while those at the lower end, such as Burundi and Ethiopia, highlight the urgent need for international support and investment. Improving nurses and midwives density in low-density regions requires comprehensive strategies, including economic development, infrastructure improvement, and healthcare policy reform. Addressing these disparities is essential for achieving global health equity and ensuring that all individuals have access to competent healthcare services.
Frequently Asked Questions About Nurses and Midwives Density in 2004
Which country had the highest density of nurses and midwives per 1,000 people in 2004?
Norway had the highest density of nurses and midwives in 2004, with 15.09 per 1,000 people.
Which country had the lowest density of nurses and midwives per 1,000 people in 2004?
Burundi had the lowest density of nurses and midwives in 2004, with 0.19 per 1,000 people.
What was the average density of nurses and midwives per 1,000 people across all countries in 2004?
The average density of nurses and midwives across all countries in 2004 was 4.01 per 1,000 people.
What was the median density of nurses and midwives per 1,000 people in 2004?
The median density of nurses and midwives in 2004 was 3.33 per 1,000 people.
Which countries were in the top 3 for nurses and midwives density per 1,000 people in 2004?
The top 3 countries for nurses and midwives density in 2004 were Norway (15.09), Iceland (14.45), and Switzerland (12.73) per 1,000 people.
How many countries were included in the nurses and midwives density dataset for 2004?
The dataset included 134 countries for nurses and midwives density in 2004.
Insights by country
Tajikistan
Tajikistan ranked #67 globally with a Nurses and Midwives Density of 3.46 per 1,000 people in 2004. This figure is notably lower than the global average, reflecting challenges in healthcare accessibility and workforce distribution. Contributing factors include Tajikistan's economic constraints and the aftermath of civil conflict, which have hindered the development of its healthcare system and workforce training programs.
Eritrea
Eritrea's Nurses and Midwives Density in 2004 was 0.964 per 1,000 people, ranking it #99 out of 134 countries. This figure is notably lower than the global average, reflecting challenges in healthcare access and workforce development. Contributing factors include a prolonged conflict that has strained healthcare infrastructure and a limited number of trained professionals entering the workforce.
Albania
In 2004, Albania had a Nurses and Midwives Density of 3.594 per 1,000 people, ranking #64 out of 134 countries. This figure is relatively low compared to many European nations, reflecting the challenges faced by the healthcare system in the region. Contributing factors include economic constraints and a history of underinvestment in healthcare infrastructure, which have limited the availability of medical professionals in Albania.
Madagascar
In 2004, Madagascar ranked #129 globally with a Nurses and Midwives Density of 0.273 per 1,000 people. This figure is significantly lower than the global average, highlighting a critical shortage of healthcare professionals in the country. Contributing factors include Madagascar's economic challenges, limited healthcare funding, and a high prevalence of poverty, which restrict access to education and training for healthcare workers.
Guinea-Bissau
In 2004, Guinea-Bissau had a Nurses and Midwives Density of 0.794 per 1,000 people, ranking #103 out of 134 countries. This figure reflects a significant shortage compared to many neighboring countries in West Africa, where healthcare resources are generally more abundant. Contributing factors include ongoing economic challenges, limited healthcare infrastructure, and a history of political instability that has hindered the development of the health sector.
Brazil
In 2004, Brazil ranked #61 globally with a Nurses and Midwives Density of 3.756 per 1,000 people. This figure is below the global average, highlighting challenges in healthcare accessibility compared to higher-ranked countries. Brazil's diverse geography and socioeconomic disparities contribute to uneven healthcare distribution, impacting the availability of nursing and midwifery services across urban and rural areas.
Senegal
In 2004, Senegal had a Nurses and Midwives Density of 0.3 per 1,000 people, ranking #128 out of 134 countries. This figure is significantly lower than the global average, indicating a critical shortage of healthcare professionals in the country. Contributing factors include limited healthcare funding, a high population growth rate, and challenges in training and retaining medical staff, which hinder the overall healthcare system's effectiveness.
Germany
In 2004, Germany ranked #14 globally with a Nurses and Midwives Density of 9.294 per 1,000 people. This figure is notably higher than the global average, indicating a strong healthcare workforce relative to many countries. Contributing factors include Germany's robust healthcare system, significant investment in medical training, and a commitment to maintaining high standards of care amidst an aging population.
Belgium
In 2004, Belgium achieved a global rank of #15 with a Nurses and Midwives Density of 9.233 per 1,000 people. This figure is significantly higher than the global average, reflecting Belgium's robust healthcare system. Contributing factors include a strong emphasis on healthcare education and training, as well as government policies that prioritize healthcare access and quality, which are essential in a country with a dense urban population and high life expectancy.
Austria
In 2004, Austria achieved a Nurses and Midwives Density of 6.129 per 1,000 people, ranking #34 out of 134 countries. This density is relatively high compared to some neighboring countries, indicating a strong healthcare workforce. Austria's robust healthcare system, supported by comprehensive health policies and a focus on public health, contributes to this favorable statistic, ensuring access to quality medical care for its population.
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.