Hospital Bed Density 2021
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 2021, Greenland led the world in Hospital Bed Density with a value of 14.00 people/sq km, marking the highest global figure in this category. The range of Hospital Bed Density spanned from 0.10 to 14.00 people/sq km across the 162 countries with available data. The global average was 3.12 people/sq km, providing a benchmark for assessing healthcare access across different regions.
Economic Development and Healthcare Infrastructure
The distribution of Hospital Bed Density often correlates with a country's level of economic development. Developed nations like Japan and Germany exhibit higher densities, with values of 13 and 8 people/sq km, respectively. These countries benefit from robust healthcare systems and significant public investment in health infrastructure. Conversely, countries with lower economic development, such as Mali and Madagascar, report densities as low as 0.10 and 0.20 people/sq km. Limited financial resources and infrastructural challenges in these nations restrict their ability to expand healthcare facilities, resulting in fewer hospital beds per area.
Geographic and Demographic Influences
Geographic and demographic factors also play a critical role in determining Hospital Bed Density. For instance, small but densely populated countries like Monaco have a high density of 13.8 people/sq km due to concentrated urban development, which allows for efficient allocation of healthcare resources. Similarly, South Korea maintains a density of 12.4, driven by its urban-centric population distribution. In contrast, larger countries with dispersed populations such as India and Niger have densities of 0.5 and 0.4 people/sq km, respectively, reflecting the challenges in equitably distributing healthcare resources across vast territories.
Policy and Investment Impact on Healthcare Access
Government policies and healthcare investments significantly influence Hospital Bed Density. Countries that prioritize healthcare funding and policy reforms often show higher densities. For example, Belarus and Austria have densities of 10.8 and 7.3, respectively, reflecting sustained investments in healthcare infrastructure. In contrast, nations like Afghanistan and Burkina Faso have densities of 0.4, hindered by limited government spending and political instability that affects healthcare delivery.
Year-over-Year Changes and Influencing Factors
Analyzing the year-over-year changes provides insight into shifting healthcare priorities and external pressures. The average global change was a decrease of 0.01 people/sq km, or -0.3%. Vietnam experienced the largest increase of 0.60 people/sq km, a remarkable 23.1% rise, likely due to targeted healthcare investments and reforms. Mauritius and Finland both saw increases of 0.30, attributed to strategic health sector enhancements.
Conversely, Russia experienced a significant decrease of 1.00 people/sq km, representing a -12.3% drop, potentially due to economic challenges and healthcare restructuring. Mexico and Luxembourg also recorded decreases of 0.50 and 0.40, respectively, indicative of possible resource reallocation or demographic shifts.
Understanding Hospital Bed Density offers valuable insights into the accessibility and quality of healthcare across different regions. The variations observed in 2021 highlight the complex interplay of economic, geographic, demographic, and policy factors that shape healthcare landscapes globally.
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.