Physicians (per 1,000 people) - Country Ranking
Definition: Physicians include generalist and specialist medical practitioners.
Source: World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.
See also: Thematic map, Time series comparison
Rank | Country | Value | Year |
---|---|---|---|
1 | Cuba | 8.42 | 2018 |
2 | Italy | 8.01 | 2019 |
3 | Monaco | 7.51 | 2014 |
4 | Georgia | 7.08 | 2019 |
5 | France | 6.53 | 2018 |
6 | Greece | 6.23 | 2018 |
7 | San Marino | 6.11 | 2014 |
8 | Belgium | 5.96 | 2019 |
9 | United Kingdom | 5.82 | 2019 |
10 | Israel | 5.47 | 2019 |
11 | Portugal | 5.31 | 2018 |
12 | Austria | 5.21 | 2018 |
13 | Belarus | 5.19 | 2015 |
14 | Chile | 5.18 | 2018 |
15 | Lithuania | 5.04 | 2019 |
16 | Uruguay | 4.94 | 2017 |
17 | Norway | 4.89 | 2019 |
18 | Mexico | 4.85 | 2018 |
19 | Finland | 4.64 | 2018 |
20 | Trinidad and Tobago | 4.48 | 2019 |
21 | Russia | 4.44 | 2018 |
22 | Armenia | 4.40 | 2017 |
23 | Switzerland | 4.33 | 2018 |
24 | Sweden | 4.33 | 2017 |
25 | Germany | 4.30 | 2018 |
26 | Denmark | 4.22 | 2018 |
27 | Bulgaria | 4.21 | 2018 |
28 | Iceland | 4.14 | 2019 |
29 | Czech Republic | 4.12 | 2019 |
30 | Spain | 4.03 | 2018 |
31 | Argentina | 3.99 | 2017 |
32 | Kazakhstan | 3.98 | 2014 |
33 | Mongolia | 3.85 | 2018 |
34 | Colombia | 3.84 | 2018 |
35 | Australia | 3.76 | 2018 |
36 | Netherlands | 3.71 | 2018 |
37 | Dem. People's Rep. Korea | 3.68 | 2017 |
38 | Slovak Republic | 3.52 | 2018 |
39 | Estonia | 3.46 | 2017 |
40 | Azerbaijan | 3.45 | 2014 |
41 | New Zealand | 3.42 | 2018 |
42 | Hungary | 3.41 | 2018 |
43 | Ireland | 3.35 | 2019 |
44 | Andorra | 3.33 | 2015 |
45 | Latvia | 3.30 | 2018 |
46 | Slovenia | 3.17 | 2018 |
47 | Serbia | 3.11 | 2016 |
48 | Luxembourg | 3.01 | 2017 |
49 | Croatia | 3.00 | 2016 |
50 | Ukraine | 2.99 | 2014 |
51 | Romania | 2.98 | 2017 |
52 | Costa Rica | 2.89 | 2018 |
53 | North Macedonia | 2.87 | 2015 |
54 | El Salvador | 2.87 | 2018 |
55 | Malta | 2.86 | 2015 |
56 | Antigua and Barbuda | 2.77 | 2017 |
57 | St. Kitts and Nevis | 2.77 | 2018 |
58 | Montenegro | 2.76 | 2018 |
59 | Kuwait | 2.65 | 2015 |
60 | Saudi Arabia | 2.61 | 2018 |
61 | United States | 2.60 | 2018 |
62 | Moldova | 2.56 | 2019 |
63 | Mauritius | 2.53 | 2018 |
64 | United Arab Emirates | 2.53 | 2018 |
65 | Barbados | 2.49 | 2017 |
66 | Qatar | 2.49 | 2018 |
67 | Japan | 2.48 | 2018 |
68 | Seychelles | 2.47 | 2018 |
69 | Canada | 2.44 | 2019 |
70 | Korea | 2.41 | 2018 |
71 | Poland | 2.38 | 2017 |
72 | Uzbekistan | 2.37 | 2014 |
73 | Jordan | 2.32 | 2017 |
74 | Brazil | 2.31 | 2019 |
75 | Singapore | 2.29 | 2016 |
76 | Turkmenistan | 2.22 | 2014 |
77 | Ecuador | 2.22 | 2017 |
78 | Kyrgyz Republic | 2.21 | 2014 |
79 | Bosnia and Herzegovina | 2.16 | 2015 |
80 | Lebanon | 2.10 | 2018 |
81 | Libya | 2.09 | 2017 |
82 | New Caledonia | 1.98 | 1999 |
83 | China | 1.98 | 2017 |
84 | Cyprus | 1.95 | 2016 |
85 | Cayman Islands | 1.94 | 1997 |
86 | The Bahamas | 1.94 | 2017 |
87 | Oman | 1.93 | 2019 |
88 | Guyana | 1.82 | 2018 |
89 | Turkey | 1.81 | 2018 |
90 | Puerto Rico | 1.75 | 1995 |
91 | Venezuela | 1.73 | 2017 |
92 | Tajikistan | 1.72 | 2014 |
93 | Algeria | 1.72 | 2018 |
94 | Nicaragua | 1.66 | 2018 |
95 | Albania | 1.65 | 2019 |
96 | Panama | 1.63 | 2019 |
97 | Brunei | 1.61 | 2017 |
98 | Iran | 1.58 | 2018 |
99 | Macao SAR, China | 1.56 | 1987 |
100 | Malaysia | 1.54 | 2015 |
101 | Dominican Republic | 1.45 | 2019 |
102 | Grenada | 1.44 | 2018 |
103 | Palau | 1.42 | 2014 |
104 | Paraguay | 1.35 | 2018 |
105 | Nauru | 1.35 | 2015 |
106 | Hong Kong SAR, China | 1.32 | 1995 |
107 | Tunisia | 1.30 | 2017 |
108 | Syrian Arab Republic | 1.29 | 2016 |
109 | Sri Lanka | 1.15 | 2019 |
110 | Greenland | 1.14 | 1980 |
111 | Pakistan | 1.12 | 2019 |
112 | Dominica | 1.10 | 2018 |
113 | Belize | 1.08 | 2018 |
114 | Bolivia | 1.03 | 2017 |
115 | St. Vincent and the Grenadines | 0.94 | 2012 |
116 | India | 0.93 | 2019 |
117 | Bahrain | 0.93 | 2015 |
118 | Thailand | 0.92 | 2019 |
119 | Tuvalu | 0.91 | 2014 |
120 | Fiji | 0.86 | 2015 |
121 | Vietnam | 0.83 | 2016 |
122 | Peru | 0.82 | 2018 |
123 | Suriname | 0.82 | 2018 |
124 | Nepal | 0.81 | 2019 |
125 | South Africa | 0.79 | 2019 |
126 | Cabo Verde | 0.78 | 2015 |
127 | Timor-Leste | 0.77 | 2019 |
128 | Egypt | 0.75 | 2019 |
129 | Myanmar | 0.74 | 2019 |
130 | Morocco | 0.73 | 2017 |
131 | Iraq | 0.71 | 2018 |
132 | Gabon | 0.68 | 2017 |
133 | St. Lucia | 0.64 | 2017 |
134 | Bangladesh | 0.64 | 2019 |
135 | Philippines | 0.60 | 2017 |
136 | Namibia | 0.59 | 2017 |
137 | Tonga | 0.54 | 2013 |
138 | Yemen | 0.53 | 2014 |
139 | Indonesia | 0.47 | 2019 |
140 | Bhutan | 0.46 | 2019 |
141 | Jamaica | 0.45 | 2016 |
142 | Equatorial Guinea | 0.40 | 2017 |
143 | Nigeria | 0.38 | 2018 |
144 | Lao PDR | 0.37 | 2017 |
145 | Guatemala | 0.35 | 2018 |
146 | Samoa | 0.34 | 2016 |
147 | São Tomé and Principe | 0.32 | 2015 |
148 | Honduras | 0.31 | 2017 |
149 | Botswana | 0.29 | 2018 |
150 | Afghanistan | 0.28 | 2016 |
151 | Sudan | 0.26 | 2017 |
152 | Haiti | 0.23 | 2018 |
153 | Djibouti | 0.22 | 2014 |
154 | Angola | 0.21 | 2017 |
155 | Zimbabwe | 0.21 | 2018 |
156 | Kiribati | 0.20 | 2013 |
157 | Solomon Islands | 0.19 | 2016 |
158 | Cambodia | 0.19 | 2014 |
159 | Mauritania | 0.19 | 2018 |
160 | Madagascar | 0.18 | 2014 |
161 | Comoros | 0.17 | 2012 |
162 | Uganda | 0.17 | 2017 |
163 | Vanuatu | 0.17 | 2016 |
164 | Côte d'Ivoire | 0.16 | 2019 |
165 | Kenya | 0.16 | 2018 |
166 | Mali | 0.13 | 2018 |
167 | Guinea-Bissau | 0.13 | 2016 |
168 | Rwanda | 0.12 | 2019 |
169 | The Gambia | 0.11 | 2019 |
170 | Congo | 0.11 | 2016 |
170 | Ghana | 0.11 | 2019 |
172 | Burundi | 0.10 | 2017 |
173 | Eswatini | 0.10 | 2016 |
174 | Burkina Faso | 0.09 | 2019 |
175 | Zambia | 0.09 | 2016 |
176 | Dem. Rep. Congo | 0.09 | 2013 |
177 | Cameroon | 0.09 | 2011 |
177 | Senegal | 0.09 | 2019 |
179 | Mozambique | 0.08 | 2019 |
180 | Guinea | 0.08 | 2016 |
181 | Eritrea | 0.08 | 2004 |
182 | Togo | 0.08 | 2019 |
183 | Ethiopia | 0.08 | 2018 |
184 | Sierra Leone | 0.07 | 2018 |
185 | Central African Republic | 0.07 | 2015 |
186 | Lesotho | 0.07 | 2010 |
187 | Papua New Guinea | 0.07 | 2019 |
188 | Benin | 0.06 | 2019 |
189 | Tanzania | 0.06 | 2014 |
190 | Chad | 0.05 | 2019 |
191 | Niger | 0.04 | 2016 |
192 | Liberia | 0.04 | 2015 |
193 | Malawi | 0.04 | 2018 |
194 | Somalia | 0.02 | 2014 |
More rankings: Africa | Asia | Central America & the Caribbean | Europe | Middle East | North America | Oceania | South America | World |
Development Relevance: The WHO estimates that at least 2.5 medical staff (physicians, nurses and midwives) per 1,000 people are needed to provide adequate coverage with primary care interventions (WHO, World Health Report 2006).
Limitations and Exceptions: The WHO compiles data from household and labor force surveys, censuses, and administrative records. Data comparability is limited by differences in definitions and training of medical personnel varies. In addition, human resources tend to be concentrated in urban areas, so that average densities do not provide a full picture of health personnel available to the entire population.
Statistical Concept and Methodology: Health systems - the combined arrangements of institutions and actions whose primary purpose is to promote, restore, or maintain health (World Health Organization, World Health Report 2000) - are increasingly being recognized as key to combating disease and improving the health status of populations. The World Bank's Healthy Development: Strategy for Health, Nutrition, and Population Results emphasizes the need to strengthen health systems, which are weak in many countries, in order to increase the effectiveness of programs aimed at reducing specific diseases and further reduce morbidity and mortality. To evaluate health systems, the World Health Organization (WHO) has recommended that key components - such as financing, service delivery, workforce, governance, and information - be monitored using several key indicators. The data are a subset of the key indicators. Monitoring health systems allows the effectiveness, efficiency, and equity of different health system models to be compared. Health system data also help identify weaknesses and strengths and areas that need investment, such as additional health facilities, better health information systems, or better trained human resources. Data on health worker (physicians, nurses and midwives, and community health workers) density show the availability of medical personnel.
Aggregation method: Weighted average
Periodicity: Annual