Hospital Bed Density 2013
Hospital Bed Density measures healthcare access per area. Compare countries, explore interactive maps, and view historical trends.
Interactive Map
Complete Data Rankings
Rank | ||
|---|---|---|
1 | Monaco | 16.5 people/sq km |
2 | Japan | 13.7 people/sq km |
3 | North Korea | 13.2 people/sq km |
4 | Belarus | 11.1 people/sq km |
5 | South Korea | 10.3 people/sq km |
6 | Russia | 9.7 people/sq km |
7 | Ukraine | 8.7 people/sq km |
8 | Germany | 8.3 people/sq km |
9 | Austria | 7.6 people/sq km |
10 | Kazakhstan | 7.6 people/sq km |
11 | Hungary | 7.2 people/sq km |
12 | Czech Republic | 7 people/sq km |
13 | Lithuania | 6.8 people/sq km |
14 | Mongolia | 6.8 people/sq km |
15 | Barbados | 6.6 people/sq km |
16 | France | 6.6 people/sq km |
17 | Poland | 6.6 people/sq km |
18 | Belgium | 6.5 people/sq km |
19 | Bulgaria | 6.5 people/sq km |
20 | Slovakia | 6.4 people/sq km |
21 | Ethiopia | 6.3 people/sq km |
22 | Gabon | 6.3 people/sq km |
23 | Romania | 6.3 people/sq km |
24 | Republic of Moldova | 6.2 people/sq km |
25 | Croatia | 6 people/sq km |
26 | Finland | 5.9 people/sq km |
27 | Timor-Leste | 5.9 people/sq km |
28 | Iceland | 5.8 people/sq km |
29 | Tuvalu | 5.6 people/sq km |
30 | Tajikistan | 5.5 people/sq km |
31 | Luxembourg | 5.4 people/sq km |
32 | Serbia | 5.4 people/sq km |
33 | Estonia | 5.3 people/sq km |
34 | Latvia | 5.3 people/sq km |
35 | Cuba | 5.1 people/sq km |
36 | Switzerland | 5 people/sq km |
37 | Greece | 4.9 people/sq km |
38 | Kyrgyzstan | 4.8 people/sq km |
39 | Saint Kitts and Nevis | 4.8 people/sq km |
40 | Netherlands | 4.7 people/sq km |
41 | Nepal | 4.7 people/sq km |
42 | Azerbaijan | 4.6 people/sq km |
43 | North Macedonia | 4.6 people/sq km |
44 | Slovenia | 4.6 people/sq km |
45 | Argentina | 4.5 people/sq km |
46 | Uzbekistan | 4.5 people/sq km |
47 | Malta | 4.4 people/sq km |
48 | Maldives | 4.3 people/sq km |
49 | Turkmenistan | 4.1 people/sq km |
50 | Montenegro | 4 people/sq km |
51 | Australia | 3.9 people/sq km |
52 | San Marino | 3.9 people/sq km |
53 | China | 3.8 people/sq km |
54 | Dominica | 3.8 people/sq km |
55 | Libya | 3.7 people/sq km |
56 | Seychelles | 3.6 people/sq km |
57 | Bosnia and Herzegovina | 3.5 people/sq km |
58 | Cyprus | 3.5 people/sq km |
59 | Denmark | 3.5 people/sq km |
60 | Grenada | 3.5 people/sq km |
61 | Italy | 3.5 people/sq km |
62 | Lebanon | 3.5 people/sq km |
63 | Israel | 3.4 people/sq km |
64 | Mauritius | 3.4 people/sq km |
65 | Portugal | 3.4 people/sq km |
66 | Norway | 3.3 people/sq km |
67 | Canada | 3.2 people/sq km |
68 | Ireland | 3.2 people/sq km |
69 | Spain | 3.2 people/sq km |
70 | Bahamas | 3.1 people/sq km |
71 | Sri Lanka | 3.1 people/sq km |
72 | Suriname | 3.1 people/sq km |
73 | United Kingdom | 3 people/sq km |
74 | United States | 3 people/sq km |
75 | Uruguay | 3 people/sq km |
76 | Georgia | 2.9 people/sq km |
77 | Sao Tome and Principe | 2.9 people/sq km |
78 | Brunei Darussalam | 2.8 people/sq km |
79 | South Africa | 2.8 people/sq km |
80 | Singapore | 2.7 people/sq km |
81 | Sweden | 2.7 people/sq km |
82 | Saint Vincent and the Grenadines | 2.7 people/sq km |
83 | Namibia | 2.7 people/sq km |
84 | Tonga | 2.6 people/sq km |
85 | Andorra | 2.5 people/sq km |
86 | Turkey | 2.5 people/sq km |
87 | Albania | 2.4 people/sq km |
88 | Panama | 2.4 people/sq km |
89 | Brazil | 2.3 people/sq km |
90 | New Zealand | 2.3 people/sq km |
91 | Comoros | 2.2 people/sq km |
92 | Saudi Arabia | 2.2 people/sq km |
93 | Vietnam | 2.2 people/sq km |
94 | Antigua and Barbuda | 2.1 people/sq km |
95 | Cabo Verde | 2.1 people/sq km |
96 | Equatorial Guinea | 2.1 people/sq km |
97 | Fiji | 2.1 people/sq km |
98 | Trinidad and Tobago | 2.1 people/sq km |
99 | Thailand | 2.1 people/sq km |
100 | Tunisia | 2.1 people/sq km |
101 | Eswatini | 2.1 people/sq km |
102 | Chile | 2 people/sq km |
103 | Guyana | 2 people/sq km |
104 | Kuwait | 2 people/sq km |
105 | Zambia | 2 people/sq km |
106 | United Arab Emirates | 1.9 people/sq km |
107 | Burundi | 1.9 people/sq km |
108 | Bahrain | 1.8 people/sq km |
109 | Botswana | 1.8 people/sq km |
110 | Bhutan | 1.8 people/sq km |
111 | Jamaica | 1.8 people/sq km |
112 | Jordan | 1.8 people/sq km |
113 | Oman | 1.8 people/sq km |
114 | Malaysia | 1.8 people/sq km |
115 | Algeria | 1.7 people/sq km |
116 | Dominican Republic | 1.7 people/sq km |
117 | Egypt | 1.7 people/sq km |
118 | Iran | 1.7 people/sq km |
119 | Mexico | 1.7 people/sq km |
120 | Vanuatu | 1.7 people/sq km |
121 | Zimbabwe | 1.7 people/sq km |
122 | Congo | 1.6 people/sq km |
123 | Ecuador | 1.6 people/sq km |
124 | Rwanda | 1.6 people/sq km |
125 | Saint Lucia | 1.6 people/sq km |
126 | Peru | 1.5 people/sq km |
127 | Syrian Arab Republic | 1.5 people/sq km |
128 | Solomon Islands | 1.4 people/sq km |
129 | Colombia | 1.4 people/sq km |
130 | Djibouti | 1.4 people/sq km |
131 | Kenya | 1.4 people/sq km |
132 | Cameroon | 1.3 people/sq km |
133 | Haiti | 1.3 people/sq km |
134 | Iraq | 1.3 people/sq km |
135 | Kiribati | 1.3 people/sq km |
136 | Lesotho | 1.3 people/sq km |
137 | Malawi | 1.3 people/sq km |
138 | Paraguay | 1.3 people/sq km |
139 | Costa Rica | 1.2 people/sq km |
140 | Qatar | 1.2 people/sq km |
141 | Belize | 1.1 people/sq km |
142 | Bolivia | 1.1 people/sq km |
143 | Gambia | 1.1 people/sq km |
144 | Morocco | 1.1 people/sq km |
145 | Nicaragua | 1.1 people/sq km |
146 | Central African Republic | 1 people/sq km |
147 | El Salvador | 1 people/sq km |
148 | Guinea-Bissau | 1 people/sq km |
149 | Philippines | 1 people/sq km |
150 | Samoa | 1 people/sq km |
151 | Ghana | 0.9 people/sq km |
152 | India | 0.9 people/sq km |
153 | Venezuela | 0.9 people/sq km |
154 | Angola | 0.8 people/sq km |
155 | Congo, Democratic Republic of the | 0.8 people/sq km |
156 | Liberia | 0.8 people/sq km |
157 | Cambodia | 0.7 people/sq km |
158 | Eritrea | 0.7 people/sq km |
159 | Guatemala | 0.7 people/sq km |
160 | Honduras | 0.7 people/sq km |
161 | Laos | 0.7 people/sq km |
162 | Mozambique | 0.7 people/sq km |
163 | Togo | 0.7 people/sq km |
164 | Tanzania | 0.7 people/sq km |
165 | Yemen | 0.7 people/sq km |
166 | Bangladesh | 0.6 people/sq km |
167 | Myanmar | 0.6 people/sq km |
168 | Indonesia | 0.6 people/sq km |
169 | Pakistan | 0.6 people/sq km |
170 | Nigeria | 0.53 people/sq km |
171 | Benin | 0.5 people/sq km |
172 | Uganda | 0.5 people/sq km |
173 | Chad | 0.43 people/sq km |
174 | Afghanistan | 0.4 people/sq km |
175 | Côte d'Ivoire | 0.4 people/sq km |
176 | Mauritania | 0.4 people/sq km |
177 | Sierra Leone | 0.4 people/sq km |
178 | Burkina Faso | 0.4 people/sq km |
179 | Niger | 0.31 people/sq km |
180 | Guinea | 0.3 people/sq km |
181 | Senegal | 0.3 people/sq km |
182 | Madagascar | 0.2 people/sq km |
183 | Mali | 0.1 people/sq km |
Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.
- #183
Mali
- #182
Madagascar
- #181
Senegal
- #180
Guinea
- #179
Niger
- #178
Burkina Faso
- #177
Sierra Leone
- #176
Mauritania
- #175
Côte d'Ivoire
- #174
Afghanistan
Context: These countries or territories have the lowest values, often due to geographic size, administrative status, or specific characteristics.
Analysis & Context
In 2013, Monaco led the world in Hospital Bed Density with a value of 16.5 people/sq km, while the global range extended from a minimum of 0.10 to a maximum of 16.50. The global average Hospital Bed Density stood at 3.11 people/sq km, offering a glimpse into the varying levels of healthcare access across different regions.
Economic Development and Hospital Bed Density
The disparity in Hospital Bed Density across countries is often reflective of their economic status. High-income countries tend to have better healthcare infrastructure, facilitating higher densities. For instance, Japan and Germany, with densities of 13.7 and 8.3 people/sq km respectively, showcase the ability of economically developed nations to support extensive healthcare networks. In contrast, countries like Mali and Madagascar exhibit densities as low as 0.1 and 0.2 people/sq km, underscoring limited healthcare resources that are often tied to lower economic development.
Geopolitical Factors Influencing Density
Geopolitical stability and government policy significantly impact Hospital Bed Density. Nations with centralized healthcare systems, such as Belarus (11.1) and North Korea (13.2), benefit from government prioritization of healthcare infrastructure. Conversely, countries experiencing political instability or conflict, like Afghanistan and Sierra Leone, both with a density of 0.4, often face challenges in maintaining and expanding healthcare facilities. This highlights the importance of stable governance in ensuring adequate healthcare provision.
Year-Over-Year Trends and Their Implications
The year-over-year changes in Hospital Bed Density reveal significant shifts, with some countries showing remarkable increases. Ethiopia experienced the most substantial rise with a change of +6.12 people/sq km, representing a staggering 3400.0% increase. This growth can be attributed to recent investments in healthcare infrastructure and international aid. Similarly, Gabon and Maldives saw increases of +5.05 and +1.70 people/sq km, respectively, indicating successful healthcare policies and economic support.
Conversely, some nations faced declines, with New Zealand experiencing a decrease of -3.88 people/sq km, equating to a -62.8% reduction. This could be linked to policy shifts or reallocation of resources. Other countries such as Azerbaijan and Israel also saw decreases of -3.33 and -2.43 people/sq km, respectively, reflecting potential budget cuts or healthcare restructuring efforts.
Urbanization and Its Impact on Hospital Bed Density
Urbanization plays a crucial role in shaping Hospital Bed Density. Urban areas typically offer higher densities due to concentrated healthcare facilities. In countries like South Korea (10.3) and Russia (9.7), urbanization has facilitated the development of extensive healthcare networks. However, rapid urbanization can also strain existing resources, as seen in Kazakhstan (7.6) and Austria (7.6), where population growth in cities demands continuous expansion and modernization of healthcare infrastructure.
In rural regions or countries with significant rural populations, such as Niger (0.31) and Burkina Faso (0.4), lower densities are prevalent due to the logistical challenges of establishing healthcare facilities across vast and sparsely populated areas. This highlights the ongoing need for strategic planning to ensure equitable healthcare access in both urban and rural settings.
In summary, the 2013 data on Hospital Bed Density reveals a complex interplay of economic, geopolitical, and demographic factors that shape healthcare access worldwide. The disparities highlight the critical need for targeted investments and policies to improve healthcare infrastructure, particularly in regions with lower densities. Understanding these dynamics is essential for addressing global health inequities and ensuring that all populations have access to adequate healthcare resources.
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.