Hospital Bed Density 2022
Hospital Bed Density measures healthcare access per area. Compare countries, explore interactive maps, and view historical trends.
Interactive Map
Complete Data Rankings
Rank | ||
|---|---|---|
1 | Greenland | 14 people/sq km |
2 | Monaco | 13.8 people/sq km |
3 | Japan | 13 people/sq km |
4 | South Korea | 12.4 people/sq km |
5 | Belarus | 10.8 people/sq km |
6 | Mongolia | 8 people/sq km |
7 | Germany | 8 people/sq km |
8 | Bulgaria | 7.5 people/sq km |
9 | Ukraine | 7.5 people/sq km |
10 | Austria | 7.3 people/sq km |
11 | Russia | 7.1 people/sq km |
12 | Hungary | 7 people/sq km |
13 | Romania | 6.9 people/sq km |
14 | Czech Republic | 6.6 people/sq km |
15 | Poland | 6.5 people/sq km |
16 | Lithuania | 6.4 people/sq km |
17 | Gabon | 6.3 people/sq km |
18 | Kazakhstan | 6.1 people/sq km |
19 | Barbados | 6 people/sq km |
20 | France | 5.9 people/sq km |
21 | Slovakia | 5.7 people/sq km |
22 | Republic of Moldova | 5.7 people/sq km |
23 | Belgium | 5.6 people/sq km |
24 | Serbia | 5.6 people/sq km |
25 | Croatia | 5.5 people/sq km |
26 | Latvia | 5.5 people/sq km |
27 | Cuba | 5.3 people/sq km |
28 | Argentina | 5 people/sq km |
29 | Saint Kitts and Nevis | 4.8 people/sq km |
30 | Azerbaijan | 4.8 people/sq km |
31 | Tajikistan | 4.7 people/sq km |
32 | Estonia | 4.6 people/sq km |
33 | Switzerland | 4.6 people/sq km |
34 | Malta | 4.5 people/sq km |
35 | Kyrgyzstan | 4.4 people/sq km |
36 | Slovenia | 4.4 people/sq km |
37 | Saint Vincent and the Grenadines | 4.3 people/sq km |
38 | China | 4.3 people/sq km |
39 | Luxembourg | 4.3 people/sq km |
40 | North Macedonia | 4.3 people/sq km |
41 | Maldives | 4.3 people/sq km |
42 | Faroe Islands | 4.2 people/sq km |
43 | Greece | 4.2 people/sq km |
44 | Sri Lanka | 4.2 people/sq km |
45 | Turkmenistan | 4 people/sq km |
46 | Uzbekistan | 4 people/sq km |
47 | Montenegro | 3.9 people/sq km |
48 | Australia | 3.8 people/sq km |
49 | Dominica | 3.8 people/sq km |
50 | San Marino | 3.8 people/sq km |
51 | Mauritius | 3.7 people/sq km |
52 | Seychelles | 3.6 people/sq km |
53 | Grenada | 3.6 people/sq km |
54 | Finland | 3.6 people/sq km |
55 | Bosnia and Herzegovina | 3.5 people/sq km |
56 | Norway | 3.5 people/sq km |
57 | Portugal | 3.5 people/sq km |
58 | Cyprus | 3.4 people/sq km |
59 | Libya | 3.2 people/sq km |
60 | Vietnam | 3.2 people/sq km |
61 | Netherlands | 3.2 people/sq km |
62 | Italy | 3.1 people/sq km |
63 | Bahamas | 3 people/sq km |
64 | Trinidad and Tobago | 3 people/sq km |
65 | Ireland | 3 people/sq km |
66 | Spain | 3 people/sq km |
67 | Israel | 3 people/sq km |
68 | Suriname | 3 people/sq km |
69 | Sao Tome and Principe | 2.9 people/sq km |
70 | Antigua and Barbuda | 2.9 people/sq km |
71 | Brunei Darussalam | 2.9 people/sq km |
72 | Albania | 2.9 people/sq km |
73 | Georgia | 2.9 people/sq km |
74 | Turkey | 2.9 people/sq km |
75 | United States | 2.9 people/sq km |
76 | Iceland | 2.8 people/sq km |
77 | Namibia | 2.7 people/sq km |
78 | Lebanon | 2.7 people/sq km |
79 | New Zealand | 2.6 people/sq km |
80 | Denmark | 2.6 people/sq km |
81 | Singapore | 2.5 people/sq km |
82 | Andorra | 2.5 people/sq km |
83 | United Kingdom | 2.5 people/sq km |
84 | Canada | 2.5 people/sq km |
85 | Uruguay | 2.4 people/sq km |
86 | Panama | 2.3 people/sq km |
87 | Tunisia | 2.2 people/sq km |
88 | Saudi Arabia | 2.2 people/sq km |
89 | Cabo Verde | 2.1 people/sq km |
90 | Eswatini | 2.1 people/sq km |
91 | Sweden | 2.1 people/sq km |
92 | Brazil | 2.1 people/sq km |
93 | Chile | 2.1 people/sq km |
94 | Zambia | 2 people/sq km |
95 | Fiji | 2 people/sq km |
96 | Kuwait | 2 people/sq km |
97 | Algeria | 1.9 people/sq km |
98 | Kiribati | 1.9 people/sq km |
99 | Cambodia | 1.9 people/sq km |
100 | Malaysia | 1.9 people/sq km |
101 | Botswana | 1.8 people/sq km |
102 | Zimbabwe | 1.7 people/sq km |
103 | Jamaica | 1.7 people/sq km |
104 | Bahrain | 1.7 people/sq km |
105 | Colombia | 1.7 people/sq km |
106 | Guyana | 1.7 people/sq km |
107 | Bhutan | 1.7 people/sq km |
108 | Dominican Republic | 1.6 people/sq km |
109 | Iran | 1.6 people/sq km |
110 | Peru | 1.6 people/sq km |
111 | Laos | 1.5 people/sq km |
112 | Jordan | 1.5 people/sq km |
113 | Oman | 1.5 people/sq km |
114 | Djibouti | 1.4 people/sq km |
115 | Egypt | 1.4 people/sq km |
116 | Solomon Islands | 1.4 people/sq km |
117 | United Arab Emirates | 1.4 people/sq km |
118 | Syrian Arab Republic | 1.4 people/sq km |
119 | Ecuador | 1.4 people/sq km |
120 | Cameroon | 1.3 people/sq km |
121 | Malawi | 1.3 people/sq km |
122 | Saint Lucia | 1.3 people/sq km |
123 | Iraq | 1.3 people/sq km |
124 | Qatar | 1.3 people/sq km |
125 | Bolivia | 1.3 people/sq km |
126 | El Salvador | 1.2 people/sq km |
127 | Gambia | 1.1 people/sq km |
128 | Costa Rica | 1.1 people/sq km |
129 | Central African Republic | 1 people/sq km |
130 | Morocco | 1 people/sq km |
131 | Belize | 1 people/sq km |
132 | Myanmar | 1 people/sq km |
133 | Indonesia | 1 people/sq km |
134 | Philippines | 1 people/sq km |
135 | Mexico | 1 people/sq km |
136 | Ghana | 0.9 people/sq km |
137 | Somalia | 0.9 people/sq km |
138 | Nicaragua | 0.9 people/sq km |
139 | Venezuela | 0.9 people/sq km |
140 | Burundi | 0.8 people/sq km |
141 | Paraguay | 0.8 people/sq km |
142 | Bangladesh | 0.8 people/sq km |
143 | Eritrea | 0.7 people/sq km |
144 | Mozambique | 0.7 people/sq km |
145 | Togo | 0.7 people/sq km |
146 | Tanzania | 0.7 people/sq km |
147 | Haiti | 0.7 people/sq km |
148 | Yemen | 0.7 people/sq km |
149 | Honduras | 0.6 people/sq km |
150 | Pakistan | 0.6 people/sq km |
151 | Benin | 0.5 people/sq km |
152 | Uganda | 0.5 people/sq km |
153 | India | 0.5 people/sq km |
154 | Niger | 0.4 people/sq km |
155 | Burkina Faso | 0.4 people/sq km |
156 | Guatemala | 0.4 people/sq km |
157 | Afghanistan | 0.4 people/sq km |
158 | Ethiopia | 0.3 people/sq km |
159 | Guinea | 0.3 people/sq km |
160 | Nepal | 0.3 people/sq km |
161 | Madagascar | 0.2 people/sq km |
162 | Mali | 0.1 people/sq km |
Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.
- #162
Mali
- #161
Madagascar
- #160
Nepal
- #159
Guinea
- #158
Ethiopia
- #157
Afghanistan
- #156
Guatemala
- #155
Burkina Faso
- #154
Niger
- #153
India
Context: These countries or territories have the lowest values, often due to geographic size, administrative status, or specific characteristics.
Analysis & Context
In 2022, Greenland leads the world in Hospital Bed Density with a value of 14.00 people/sq km, while the global range spans from 0.10 to 14.00. This metric highlights disparities in healthcare access across 162 countries. The global average Hospital Bed Density is 3.12 people/sq km, providing a benchmark for understanding healthcare infrastructure worldwide.
Geographic and Economic Influences on Hospital Bed Density
The disparities in Hospital Bed Density can often be attributed to geographic and economic factors. Countries with higher densities, such as Monaco (13.8) and Japan (13), typically have robust economies and well-developed healthcare systems. These nations invest significantly in healthcare infrastructure, ensuring that their populations have ample access to medical facilities. Conversely, countries like Mali (0.1) and Madagascar (0.2) struggle with weaker healthcare systems, often due to limited economic resources and challenging geographic conditions that hinder infrastructure development.
Urbanization and Hospital Bed Density
Urbanization plays a critical role in determining Hospital Bed Density. Highly urbanized nations such as South Korea (12.4) and Germany (8) showcase higher densities, reflecting the concentration of healthcare resources in cities where the majority of the population resides. These countries benefit from centralized healthcare planning and investment, which is typically more challenging in nations with dispersed rural populations. For instance, Nepal (0.3) and Guinea (0.3) face difficulties in providing adequate healthcare facilities across their mountainous and rural areas, resulting in lower bed densities.
Policy and Healthcare Infrastructure Development
Government policy significantly impacts Hospital Bed Density. Countries like Belarus (10.8) and Austria (7.3) have benefited from proactive healthcare policies that prioritize hospital infrastructure and accessibility. These policies include substantial public health funding and strategic planning aimed at increasing healthcare availability. In contrast, nations such as Afghanistan (0.4) and Guatemala (0.4) often face policy challenges in healthcare delivery, which can be attributed to political instability and limited budget allocations for health services.
Stability in Year-over-Year Changes
The data for 2022 indicates a remarkable stability in Hospital Bed Density across the globe, with an average year-over-year change of 0.00. Countries with the highest densities such as Greenland, Monaco, and Japan show no significant changes, suggesting that these nations have maintained their healthcare infrastructure investments consistently. This stability contrasts with potential fluctuations that might be expected in countries with emerging healthcare systems. The absence of significant changes also highlights the entrenched nature of healthcare disparities, reinforcing the need for long-term strategic planning to address these gaps.
Overall, the analysis of Hospital Bed Density in 2022 underscores the profound impact of economic stability, urbanization, and policy on healthcare access. While some countries boast high densities indicative of strong healthcare systems, others remain challenged by economic and geographic barriers that restrict their ability to provide adequate medical facilities.
Data Source
CIA World Factbook
The World Factbook, also known as the CIA World Factbook, was a reference resource produced by the US Central Intelligence Agency between 1962 and 2026 with almanac-style information about the countries of the world. From 1971 it was not classified, and available to the public in print since 1975, initially by the CIA, and later the Government Publishing Office.
Visit Data SourceHistorical Data by Year
Explore Hospital Bed Density data across different years. Compare trends and see how statistics have changed over time.