Hospital Beds per Capita 2008
Hospital beds per capita highlights healthcare infrastructure by showing available hospital beds per 1,000 people globally.
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Complete Data Rankings
Rank | Actions | ||
|---|---|---|---|
1 | Monaco | 14.78 beds per 1,000 | |
2 | Japan | 13.7 beds per 1,000 | |
3 | Belarus | 10.72 beds per 1,000 | |
4 | Russia | 9.12 beds per 1,000 | |
5 | Ukraine | 8.61 beds per 1,000 | |
6 | Germany | 8.31 beds per 1,000 | |
7 | South Korea | 7.84 beds per 1,000 | |
8 | Latvia | 7.76 beds per 1,000 | |
9 | Austria | 7.69 beds per 1,000 | |
10 | Kazakhstan | 7.36 beds per 1,000 | |
11 | Czech Republic | 7.22 beds per 1,000 | |
12 | Malta | 7.22 beds per 1,000 | |
13 | Lithuania | 7.18 beds per 1,000 | |
14 | Hungary | 7.12 beds per 1,000 | |
15 | France | 7.06 beds per 1,000 | |
16 | Mongolia | 6.86 beds per 1,000 | |
17 | Romania | 6.82 beds per 1,000 | |
18 | Azerbaijan | 6.75 beds per 1,000 | |
19 | Poland | 6.64 beds per 1,000 | |
20 | Slovakia | 6.59 beds per 1,000 | |
21 | Bulgaria | 6.57 beds per 1,000 | |
22 | Finland | 6.57 beds per 1,000 | |
23 | Belgium | 6.25 beds per 1,000 | |
24 | Republic of Moldova | 5.77 beds per 1,000 | |
25 | Croatia | 5.63 beds per 1,000 | |
26 | Estonia | 5.63 beds per 1,000 | |
27 | Luxembourg | 5.56 beds per 1,000 | |
28 | Kyrgyzstan | 5.28 beds per 1,000 | |
29 | Tajikistan | 5.27 beds per 1,000 | |
30 | Serbia | 5.26 beds per 1,000 | |
31 | Switzerland | 5.22 beds per 1,000 | |
32 | Uzbekistan | 5 beds per 1,000 | |
33 | Ireland | 4.86 beds per 1,000 | |
34 | Greece | 4.84 beds per 1,000 | |
35 | Slovenia | 4.73 beds per 1,000 | |
36 | Norway | 4.64 beds per 1,000 | |
37 | Cuba | 4.63 beds per 1,000 | |
38 | North Macedonia | 4.49 beds per 1,000 | |
39 | Netherlands | 4.21 beds per 1,000 | |
40 | Armenia | 4.18 beds per 1,000 | |
41 | Iceland | 3.91 beds per 1,000 | |
42 | Montenegro | 3.83 beds per 1,000 | |
43 | Australia | 3.8 beds per 1,000 | |
44 | Turkmenistan | 3.8 beds per 1,000 | |
45 | Italy | 3.74 beds per 1,000 | |
46 | Libya | 3.7 beds per 1,000 | |
47 | Seychelles | 3.68 beds per 1,000 | |
48 | Denmark | 3.57 beds per 1,000 | |
49 | Georgia | 3.57 beds per 1,000 | |
50 | Lebanon | 3.43 beds per 1,000 | |
51 | Israel | 3.4 beds per 1,000 | |
52 | Portugal | 3.39 beds per 1,000 | |
53 | Mauritius | 3.34 beds per 1,000 | |
54 | United Kingdom | 3.32 beds per 1,000 | |
55 | Sri Lanka | 3.29 beds per 1,000 | |
56 | Spain | 3.18 beds per 1,000 | |
57 | United States | 3.12 beds per 1,000 | |
58 | Albania | 3.04 beds per 1,000 | |
59 | Bahamas | 3.01 beds per 1,000 | |
60 | Brunei Darussalam | 2.97 beds per 1,000 | |
61 | Canada | 2.83 beds per 1,000 | |
62 | Sweden | 2.81 beds per 1,000 | |
63 | Cyprus | 2.73 beds per 1,000 | |
64 | Brazil | 2.6 beds per 1,000 | |
65 | Andorra | 2.56 beds per 1,000 | |
66 | Turkey | 2.56 beds per 1,000 | |
67 | Kuwait | 2.45 beds per 1,000 | |
68 | Maldives | 2.34 beds per 1,000 | |
69 | South Africa | 2.32 beds per 1,000 | |
70 | Saudi Arabia | 2.31 beds per 1,000 | |
71 | Singapore | 2.31 beds per 1,000 | |
72 | Chile | 2.26 beds per 1,000 | |
73 | Panama | 2.2 beds per 1,000 | |
74 | Botswana | 2.17 beds per 1,000 | |
75 | China | 2.16 beds per 1,000 | |
76 | Bosnia and Herzegovina | 2.05 beds per 1,000 | |
77 | Fiji | 1.93 beds per 1,000 | |
78 | Malaysia | 1.93 beds per 1,000 | |
79 | Zambia | 1.9 beds per 1,000 | |
80 | Bahrain | 1.88 beds per 1,000 | |
81 | India | 1.87 beds per 1,000 | |
82 | Thailand | 1.86 beds per 1,000 | |
83 | Tunisia | 1.78 beds per 1,000 | |
84 | Vietnam | 1.78 beds per 1,000 | |
85 | Oman | 1.75 beds per 1,000 | |
86 | Algeria | 1.74 beds per 1,000 | |
87 | Vanuatu | 1.73 beds per 1,000 | |
88 | Bhutan | 1.7 beds per 1,000 | |
89 | Ecuador | 1.62 beds per 1,000 | |
90 | Iran | 1.6 beds per 1,000 | |
91 | Jordan | 1.6 beds per 1,000 | |
92 | Egypt | 1.59 beds per 1,000 | |
93 | Dominican Republic | 1.58 beds per 1,000 | |
94 | Syrian Arab Republic | 1.54 beds per 1,000 | |
95 | Philippines | 1.52 beds per 1,000 | |
96 | Qatar | 1.43 beds per 1,000 | |
97 | Eritrea | 1.4 beds per 1,000 | |
98 | United Arab Emirates | 1.4 beds per 1,000 | |
99 | State of Palestine | 1.28 beds per 1,000 | |
100 | Costa Rica | 1.24 beds per 1,000 | |
101 | Laos | 1.16 beds per 1,000 | |
102 | Belize | 1.14 beds per 1,000 | |
103 | Bolivia | 1.08 beds per 1,000 | |
104 | Mexico | 1.03 beds per 1,000 | |
105 | Uruguay | 0.96 beds per 1,000 | |
106 | Nicaragua | 0.89 beds per 1,000 | |
107 | Morocco | 0.87 beds per 1,000 | |
108 | Paraguay | 0.82 beds per 1,000 | |
109 | Mozambique | 0.79 beds per 1,000 | |
110 | Myanmar | 0.77 beds per 1,000 | |
111 | Sudan | 0.73 beds per 1,000 | |
112 | Cambodia | 0.64 beds per 1,000 | |
113 | Indonesia | 0.62 beds per 1,000 | |
114 | Togo | 0.62 beds per 1,000 | |
115 | Rwanda | 0.6 beds per 1,000 | |
116 | Yemen | 0.59 beds per 1,000 | |
117 | Honduras | 0.52 beds per 1,000 | |
118 | Pakistan | 0.44 beds per 1,000 | |
119 | Bangladesh | 0.37 beds per 1,000 | |
120 | Madagascar | 0.29 beds per 1,000 | |
121 | Nepal | 0.26 beds per 1,000 | |
122 | Ethiopia | 0.2 beds per 1,000 |
Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.
- #122
Ethiopia
- #121
Nepal
- #120
Madagascar
- #119
Bangladesh
- #118
Pakistan
- #117
Honduras
- #116
Yemen
- #115
Rwanda
- #114
Togo
- #113
Indonesia
Context: These countries or territories have the lowest values, often due to geographic size, administrative status, or specific characteristics.
Analysis & Context
In 2008, Monaco led the world in Hospital Beds per Capita with a rate of 14.78 beds per 1,000 people, while the global range spanned from 0.20 to 14.78. The average across the 122 countries with available data was 3.55 beds per 1,000 people, providing a benchmark for assessing healthcare infrastructure worldwide.
Economic Development and Healthcare Infrastructure
The disparities in Hospital Beds per Capita are often reflective of a country's economic status and healthcare investment. For instance, Monaco and Japan, with rates of 14.78 and 13.7 respectively, are affluent nations with robust healthcare systems. In contrast, countries like Ethiopia and Nepal, with some of the lowest rates at 0.20 and 0.26, typically allocate fewer resources to healthcare due to economic constraints. The average rate of 3.55 suggests a significant gap between developed and developing nations in terms of healthcare infrastructure.
Geopolitical Factors Influencing Hospital Bed Availability
Geopolitical and historical factors also play a crucial role in determining hospital bed availability. Former Soviet states like Belarus and Russia, with rates of 10.72 and 9.12 respectively, inherited extensive healthcare infrastructures from the Soviet era, which emphasized widespread hospital access. On the other hand, countries like Bangladesh and Pakistan, with rates of 0.37 and 0.44, have faced challenges such as political instability and population pressures, impacting their ability to expand healthcare facilities.
Year-over-Year Trends and Significant Changes
Analyzing year-over-year data reveals notable trends and shifts in hospital bed availability. South Korea saw a significant increase of 0.52 beds per 1,000 people, reflecting strategic healthcare investments and an aging population driving demand for hospital beds. Similarly, the Philippines experienced a remarkable 49.0% increase, indicating rapid healthcare expansion. Conversely, Maldives experienced a sharp decline of 1.87 beds per 1,000 people, possibly due to reallocations of healthcare resources or shifts in healthcare policy priorities.
Policy Implications and Future Directions
The data underscores the importance of policy in shaping healthcare infrastructure. Countries like Germany and Austria, with high rates of 8.31 and 7.69 respectively, benefit from policies prioritizing public health and comprehensive healthcare systems. For developing countries with lower rates, targeted policies aimed at increasing healthcare funding and infrastructure development could help bridge the gap. Additionally, global health initiatives could focus on supporting these countries in building sustainable healthcare systems to improve access and quality of care.
Frequently Asked Questions About Hospital Beds per Capita in 2008
Which country had the highest number of hospital beds per capita in 2008?
Monaco had the highest number of hospital beds per capita in 2008, with 14.78 beds per 1,000 people.
Which country had the lowest number of hospital beds per capita in 2008?
Ethiopia had the lowest number of hospital beds per capita in 2008, with 0.2 beds per 1,000 people.
What was the average number of hospital beds per capita across countries in 2008?
The average number of hospital beds per capita across countries in 2008 was 3.55 beds per 1,000 people.
What was the median number of hospital beds per capita in 2008?
The median number of hospital beds per capita in 2008 was 2.82 beds per 1,000 people.
How many countries were included in the dataset for hospital beds per capita in 2008?
The dataset for hospital beds per capita in 2008 included 122 countries.
Which countries were in the top 3 for hospital beds per capita in 2008?
The top 3 countries for hospital beds per capita in 2008 were Monaco with 14.78 beds, Japan with 13.7 beds, and Belarus with 10.72 beds per 1,000 people.
Insights by country
Switzerland
In 2008, Switzerland ranked #31 globally with 5.22 beds per 1,000 people for Hospital Beds per Capita. This figure is relatively higher than the global average, reflecting the country's robust healthcare system. Contributing factors include Switzerland's strong economy, which allows for significant investment in healthcare infrastructure, and a relatively high standard of living that supports access to medical services.
Saudi Arabia
In 2008, Saudi Arabia had a global rank of #70 with 2.31 beds per 1,000 people for Hospital Beds per Capita. This figure is below the global average, indicating a relatively lower availability of hospital beds compared to many developed nations. Contributing factors include the country's rapid population growth and urbanization, which have put pressure on its healthcare infrastructure, alongside significant investments in health services driven by oil revenues.
Nepal
In 2008, Nepal ranked #121 globally with 0.26 beds per 1,000 people for Hospital Beds per Capita. This figure is significantly lower than many neighboring countries, indicating a critical shortage in healthcare infrastructure. Contributing factors include Nepal's challenging geography, which complicates access to healthcare facilities, and limited government funding for health services, exacerbated by a focus on broader economic development issues. The lack of investment in healthcare infrastructure has left many rural populations without adequate medical support.
United Kingdom
The United Kingdom ranked #54 globally in 2008 for Hospital Beds per Capita, with a value of 3.32 beds per 1,000. This figure is below the average for Western Europe, where countries like Germany and France typically report higher availability of hospital beds. Contributing factors include the UK's focus on primary care and efficiency in healthcare delivery, which has led to a more centralized approach to medical services, impacting the overall number of beds available.
Latvia
In 2008, Latvia ranked #8 globally with 7.76 beds per 1,000 people for Hospital Beds per Capita. This figure is notably higher than the global average, reflecting Latvia's significant investment in healthcare infrastructure. Contributing factors include a robust public health policy and a commitment to improving access to medical services, particularly in urban areas where healthcare resources are concentrated.
Turkmenistan
In 2008, Turkmenistan ranked #44 globally with 3.8 beds per 1,000 population for Hospital Beds per Capita. This figure is relatively low compared to many developed nations, where the average can exceed 10 beds per 1,000. The country’s healthcare system is influenced by its economic policies and state-controlled healthcare framework, which prioritizes certain medical facilities while limiting broader access to healthcare resources.
Malta
In 2008, Malta ranked #12 globally for Hospital Beds per Capita, with 7.22 beds per 1,000 individuals. This figure is notably higher than the global average, reflecting Malta's commitment to healthcare infrastructure. The country's robust healthcare system is supported by a combination of government investment and a relatively small population, allowing for better resource allocation per capita.
Sudan
In 2008, Sudan ranked #111 globally with 0.73 beds per 1,000 people for Hospital Beds per Capita. This figure is significantly lower than the global average, reflecting a broader trend of limited healthcare infrastructure in the country. Contributing factors include ongoing conflict, economic challenges, and a lack of investment in the healthcare sector, which hinder the development of adequate medical facilities and resources.
Ukraine
In 2008, Ukraine ranked #5 globally with 8.61 beds per 1,000 people for Hospital Beds per Capita. This figure is significantly higher than the global average, indicating a robust healthcare infrastructure compared to many other nations. The high number of hospital beds can be attributed to Ukraine's emphasis on public health services and a legacy of Soviet-era healthcare policies that prioritized hospital availability.
Mexico
In 2008, Mexico ranked #104 globally with 1.03 beds per 1,000 people for Hospital Beds per Capita. This figure is below the global average, indicating a lower availability of hospital beds compared to many countries. Contributing factors include Mexico's economic constraints and a healthcare system that faces challenges in funding and infrastructure development.
Data Source
Hospital beds 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 hospital beds per 1,000 people offers country-level statistics on healthcare infrastructure, facilitating comparisons across nations.
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Explore Hospital Beds per Capita data across different years. Compare trends and see how statistics have changed over time.