Hospital Beds per Capita 2007

Hospital beds per capita highlights healthcare infrastructure by showing available hospital beds per 1,000 people globally.

115 data points••Global Coverage•Hospital beds per 1,000 people | Our World in Data•

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Complete Data Rankings

Rank
Actions
1
Monaco flag
Monaco
14.63 beds per 1,000
2
Japan flag
Japan
13.86 beds per 1,000
3
Belarus flag
Belarus
10.82 beds per 1,000
4
Russia flag
Russia
9.39 beds per 1,000
5
Ukraine flag
Ukraine
8.59 beds per 1,000
6
Germany flag
Germany
8.34 beds per 1,000
7
Latvia flag
Latvia
7.83 beds per 1,000
8
Austria flag
Austria
7.75 beds per 1,000
9
Malta flag
Malta
7.65 beds per 1,000
10
Kazakhstan flag
Kazakhstan
7.35 beds per 1,000
11
South Korea flag
South Korea
7.32 beds per 1,000
12
Czech Republic flag
Czech Republic
7.3 beds per 1,000
13
France flag
France
7.22 beds per 1,000
14
Hungary flag
Hungary
7.2 beds per 1,000
15
Lithuania flag
Lithuania
7.19 beds per 1,000
16
Mongolia flag
Mongolia
6.9 beds per 1,000
17
Azerbaijan flag
Azerbaijan
6.87 beds per 1,000
18
Slovakia flag
Slovakia
6.78 beds per 1,000
19
Romania flag
Romania
6.75 beds per 1,000
20
Finland flag
Finland
6.73 beds per 1,000
21
Poland flag
Poland
6.44 beds per 1,000
22
Bulgaria flag
Bulgaria
6.43 beds per 1,000
23
Belgium flag
Belgium
6.27 beds per 1,000
24
Republic of Moldova flag
Republic of Moldova
5.68 beds per 1,000
25
Luxembourg flag
Luxembourg
5.67 beds per 1,000
26
Croatia flag
Croatia
5.64 beds per 1,000
27
Estonia flag
Estonia
5.48 beds per 1,000
28
Tajikistan flag
Tajikistan
5.4 beds per 1,000
29
Switzerland flag
Switzerland
5.36 beds per 1,000
30
Kyrgyzstan flag
Kyrgyzstan
5.28 beds per 1,000
31
Serbia flag
Serbia
5.27 beds per 1,000
32
Uzbekistan flag
Uzbekistan
5.13 beds per 1,000
33
Ireland flag
Ireland
5.1 beds per 1,000
34
Greece flag
Greece
4.88 beds per 1,000
35
Norway flag
Norway
4.86 beds per 1,000
36
Cuba flag
Cuba
4.85 beds per 1,000
37
Slovenia flag
Slovenia
4.67 beds per 1,000
38
North Macedonia flag
North Macedonia
4.48 beds per 1,000
39
Armenia flag
Armenia
4.41 beds per 1,000
40
Seychelles flag
Seychelles
4.38 beds per 1,000
41
Netherlands flag
Netherlands
4.25 beds per 1,000
42
Maldives flag
Maldives
4.21 beds per 1,000
43
Iceland flag
Iceland
4.12 beds per 1,000
44
Montenegro flag
Montenegro
3.93 beds per 1,000
45
Italy flag
Italy
3.86 beds per 1,000
46
Turkmenistan flag
Turkmenistan
3.85 beds per 1,000
47
Libya flag
Libya
3.7 beds per 1,000
48
Denmark flag
Denmark
3.69 beds per 1,000
49
Georgia flag
Georgia
3.67 beds per 1,000
50
Israel flag
Israel
3.46 beds per 1,000
51
Lebanon flag
Lebanon
3.43 beds per 1,000
52
Portugal flag
Portugal
3.43 beds per 1,000
53
United Kingdom flag
United Kingdom
3.38 beds per 1,000
54
Mauritius flag
Mauritius
3.35 beds per 1,000
55
Sri Lanka flag
Sri Lanka
3.35 beds per 1,000
56
Spain flag
Spain
3.23 beds per 1,000
57
United States flag
United States
3.13 beds per 1,000
58
Bahamas flag
Bahamas
3.05 beds per 1,000
59
Albania flag
Albania
3.04 beds per 1,000
60
Canada flag
Canada
2.95 beds per 1,000
61
Brunei Darussalam flag
Brunei Darussalam
2.87 beds per 1,000
62
Sweden flag
Sweden
2.86 beds per 1,000
63
Cyprus flag
Cyprus
2.72 beds per 1,000
64
Andorra flag
Andorra
2.63 beds per 1,000
65
Turkey flag
Turkey
2.52 beds per 1,000
66
Brazil flag
Brazil
2.5 beds per 1,000
67
Kuwait flag
Kuwait
2.43 beds per 1,000
68
Singapore flag
Singapore
2.4 beds per 1,000
69
Saudi Arabia flag
Saudi Arabia
2.39 beds per 1,000
70
South Africa flag
South Africa
2.34 beds per 1,000
71
Chile flag
Chile
2.27 beds per 1,000
72
Botswana flag
Botswana
2.17 beds per 1,000
73
Panama flag
Panama
2.09 beds per 1,000
74
Thailand flag
Thailand
2.07 beds per 1,000
75
Cabo Verde flag
Cabo Verde
2.05 beds per 1,000
76
Bosnia and Herzegovina flag
Bosnia and Herzegovina
2.03 beds per 1,000
77
China flag
China
2.02 beds per 1,000
78
Bahrain flag
Bahrain
1.93 beds per 1,000
79
Fiji flag
Fiji
1.92 beds per 1,000
80
Malaysia flag
Malaysia
1.91 beds per 1,000
81
India flag
India
1.89 beds per 1,000
82
Egypt flag
Egypt
1.82 beds per 1,000
83
Oman flag
Oman
1.77 beds per 1,000
84
Tunisia flag
Tunisia
1.72 beds per 1,000
85
Bhutan flag
Bhutan
1.71 beds per 1,000
86
Vietnam flag
Vietnam
1.71 beds per 1,000
87
Qatar flag
Qatar
1.68 beds per 1,000
88
Jordan flag
Jordan
1.62 beds per 1,000
89
Iran flag
Iran
1.61 beds per 1,000
90
United Arab Emirates flag
United Arab Emirates
1.48 beds per 1,000
91
Eritrea flag
Eritrea
1.47 beds per 1,000
92
Syrian Arab Republic flag
Syrian Arab Republic
1.47 beds per 1,000
93
Ecuador flag
Ecuador
1.43 beds per 1,000
94
State of Palestine flag
State of Palestine
1.34 beds per 1,000
95
Costa Rica flag
Costa Rica
1.29 beds per 1,000
96
Dominican Republic flag
Dominican Republic
1.2 beds per 1,000
97
Laos flag
Laos
1.15 beds per 1,000
98
Malawi flag
Malawi
1.1 beds per 1,000
99
Bolivia flag
Bolivia
1.09 beds per 1,000
100
Mexico flag
Mexico
1.06 beds per 1,000
101
Philippines flag
Philippines
1.02 beds per 1,000
102
Uruguay flag
Uruguay
0.99 beds per 1,000
103
Nicaragua flag
Nicaragua
0.9 beds per 1,000
104
Paraguay flag
Paraguay
0.8 beds per 1,000
105
Mozambique flag
Mozambique
0.75 beds per 1,000
106
Myanmar flag
Myanmar
0.74 beds per 1,000
107
Sudan flag
Sudan
0.73 beds per 1,000
108
Togo flag
Togo
0.64 beds per 1,000
109
Indonesia flag
Indonesia
0.6 beds per 1,000
110
Yemen flag
Yemen
0.6 beds per 1,000
111
Honduras flag
Honduras
0.56 beds per 1,000
112
Pakistan flag
Pakistan
0.46 beds per 1,000
113
Bangladesh flag
Bangladesh
0.35 beds per 1,000
114
Madagascar flag
Madagascar
0.32 beds per 1,000
115
Nepal flag
Nepal
0.26 beds per 1,000

↑Top 10 Countries

  1. #1Monaco flagMonaco
  2. #2Japan flagJapan
  3. #3Belarus flagBelarus
  4. #4Russia flagRussia
  5. #5Ukraine flagUkraine
  6. #6Germany flagGermany
  7. #7Latvia flagLatvia
  8. #8Austria flagAustria
  9. #9Malta flagMalta
  10. #10Kazakhstan flagKazakhstan

Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.

↓Bottom 10 Countries

  1. #115Nepal flagNepal
  2. #114Madagascar flagMadagascar
  3. #113Bangladesh flagBangladesh
  4. #112Pakistan flagPakistan
  5. #111Honduras flagHonduras
  6. #110Yemen flagYemen
  7. #109Indonesia flagIndonesia
  8. #108Togo flagTogo
  9. #107Sudan flagSudan
  10. #106Myanmar flagMyanmar

Context: These countries or territories have the lowest values, often due to geographic size, administrative status, or specific characteristics.

Analysis & Context

In 2007, Monaco led the world in Hospital Beds per Capita with a remarkable 14.63 beds per 1,000 people, while globally, the range stretched from 0.26 to 14.63 beds per 1,000 people. The average number of hospital beds per 1,000 people worldwide was 3.73, offering a glimpse into the varying state of healthcare infrastructure across different nations.

Economic Development and Healthcare Infrastructure

The availability of hospital beds per capita often correlates with a country's economic status and healthcare investment. Countries like Japan and Germany, with figures of 13.86 and 8.34 beds per 1,000 people respectively, showcase robust healthcare systems supported by significant public and private investment. In contrast, countries such as Nepal and Madagascar, with the lowest figures of 0.26 and 0.32 beds per 1,000 people, reflect the challenges faced by developing nations in expanding their healthcare infrastructure.

High-income countries typically allocate more resources to healthcare, resulting in better infrastructure and more hospital beds. This investment is evident in Austria and Malta, with 7.75 and 7.65 beds per 1,000 people, respectively, illustrating the prioritization of healthcare in their national policies.

Geopolitical and Demographic Influences

Geopolitical stability and demographic factors also play crucial roles in determining hospital bed availability. In countries like Russia and Ukraine, with 9.39 and 8.59 beds per 1,000 people, the legacy of Soviet-era healthcare systems still impacts current infrastructure, providing a higher number of hospital beds relative to some Western countries.

Conversely, regions experiencing rapid population growth or political instability, such as Yemen and Sudan with 0.6 and 0.73 beds per 1,000 people, often struggle to maintain adequate healthcare facilities. The pressure of population growth can outpace the development of healthcare infrastructure, leading to lower bed availability per capita.

Policy and Healthcare Reforms

Policy decisions and healthcare reforms substantially influence hospital bed availability. Countries experiencing significant increases in hospital beds, such as South Korea and Kyrgyzstan with respective increases of +0.78 (11.9%) and +0.31 (6.2%), demonstrate the impact of targeted healthcare policies and investments. South Korea's focus on expanding hospital capacity to meet growing healthcare demands is reflected in its increased beds per capita.

On the other hand, countries like Hungary and Qatar, which saw decreases of -0.79 (-9.9%) and -0.52 (-23.6%), may be experiencing healthcare restructuring or budget reallocations, affecting the availability of beds. Such decreases might indicate shifts towards outpatient care or other healthcare delivery models that reduce reliance on inpatient facilities.

Year-over-Year Trends and Implications

The overall trend in 2007 saw a slight global decrease in hospital beds per capita, with an average change of -0.05 (-1.3%). This decline could suggest a global shift towards more efficient healthcare delivery models or a lag in infrastructure development in certain regions. Countries like Vietnam and Bulgaria that managed to increase their hospital beds per capita by +0.11 (6.9%) and +0.18 (2.9%) respectively, highlight successful efforts in healthcare expansion and reform.

Meanwhile, countries with significant decreases, such as Georgia and Armenia, which saw reductions of -0.45 (-10.9%) and -0.36 (-7.5%), may reflect broader economic challenges or strategic shifts in healthcare policy. These trends underscore the importance of continuous investment and policy adaptation to meet healthcare needs effectively.

Frequently Asked Questions About Hospital Beds per Capita in 2007

Which country had the highest number of hospital beds per capita in 2007?

Monaco had the highest number of hospital beds per capita in 2007, with 14.63 beds per 1,000 people.

Which country had the lowest number of hospital beds per capita in 2007?

Nepal had the lowest number of hospital beds per capita in 2007, with 0.26 beds per 1,000 people.

What was the average number of hospital beds per capita across countries in 2007?

The average number of hospital beds per capita across countries in 2007 was 3.73 beds per 1,000 people.

What was the median number of hospital beds per capita in 2007?

The median number of hospital beds per capita in 2007 was 3.05 beds per 1,000 people.

Which countries were in the top 3 for hospital beds per capita in 2007?

The top 3 countries for hospital beds per capita in 2007 were Monaco with 14.63 beds, Japan with 13.86 beds, and Belarus with 10.82 beds per 1,000 people.

How many countries were included in the dataset for hospital beds per capita in 2007?

The dataset for hospital beds per capita in 2007 included 115 countries.

Insights by country

1

Spain

In 2007, Spain ranked #56 globally with 3.23 beds per 1,000 people for Hospital Beds per Capita. This figure is below the European average, reflecting a healthcare system that prioritizes efficiency and access over sheer capacity. Contributing factors include Spain's robust public healthcare policies and a focus on outpatient services, which have reduced the need for hospital stays.

2

Norway

In 2007, Norway ranked #35 globally with 4.86 beds per 1,000 people for Hospital Beds per Capita. This figure is higher than the global average, reflecting Norway's robust healthcare infrastructure compared to many countries. The high number of hospital beds can be attributed to Norway's wealth, commitment to universal healthcare, and a well-developed public health system that prioritizes access to medical services for its population.

3

Tunisia

In 2007, Tunisia ranked #84 globally with 1.72 beds per 1,000 people for Hospital Beds per Capita. This figure is lower than the global average, indicating potential challenges in healthcare accessibility compared to more developed nations. The relatively limited number of hospital beds can be attributed to Tunisia's economic constraints and a focus on primary healthcare services, which may prioritize outpatient care over inpatient facilities.

4

Yemen

In 2007, Yemen ranked #110 globally with 0.6 beds per 1,000 people for Hospital Beds per Capita. This figure is significantly lower than the global average, reflecting a critical shortage of healthcare infrastructure. Contributing factors include ongoing conflict, economic instability, and limited government investment in health services, which have severely hampered the country's ability to provide adequate medical facilities.

5

United Arab Emirates

The United Arab Emirates ranked #90 globally in 2007 with 1.48 beds per 1,000 people for Hospital Beds per Capita. This figure is below the global average, indicating challenges in healthcare infrastructure compared to more developed nations. Rapid population growth and urbanization, driven by economic diversification and a booming expatriate workforce, have placed significant pressure on the healthcare system, necessitating ongoing investment in medical facilities.

6

United States

The United States ranked #57 globally with 3.13 beds per 1,000 people for Hospital Beds per Capita in 2007. This figure is notably lower than many developed nations, reflecting challenges in healthcare accessibility compared to countries like Japan, which has a more robust healthcare infrastructure. Contributing factors include a complex healthcare system, high costs associated with medical care, and varying state-level policies that influence hospital bed availability.

7

North Macedonia

In 2007, North Macedonia ranked #38 globally with 4.48 beds per 1,000 people for Hospital Beds per Capita. This figure is notably higher than the global average, reflecting a relatively robust healthcare infrastructure compared to many other countries. Key factors influencing this statistic include North Macedonia's commitment to improving healthcare access post-independence and its strategic investments in health services aimed at addressing the needs of a growing population.

8

Lithuania

In 2007, Lithuania ranked #15 globally with 7.19 beds per 1,000 people for Hospital Beds per Capita. This figure is notably higher than the global average, indicating a robust healthcare infrastructure. Contributing factors include Lithuania's commitment to healthcare reform and investment in medical facilities following its independence, which aimed to improve public health outcomes and accessibility.

9

Uruguay

In 2007, Uruguay ranked #102 globally with 0.99 beds per 1,000 people for Hospital Beds per Capita. This figure is below the average for South America, where many countries have higher availability of hospital beds. Contributing factors include Uruguay's relatively small population and economic constraints that limit healthcare infrastructure investment.

10

Libya

In 2007, Libya ranked #47 globally with 3.7 beds per 1,000 people for Hospital Beds per Capita. This figure is relatively low compared to higher-ranked countries like Japan, which has a significantly greater number of hospital beds per capita. The availability of hospital beds in Libya has been influenced by its oil-driven economy, which has historically prioritized infrastructure investment, but ongoing political instability and conflict have hindered healthcare expansion and resource allocation.

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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Historical Data by Year

Explore Hospital Beds per Capita data across different years. Compare trends and see how statistics have changed over time.

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