External health expenditure per capita, PPP (current international $) - Country Ranking

Definition: Current external expenditures on health per capita expressed in international dollars at purchasing power parity (PPP). External sources are composed of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country.

Source: World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Palau 764.71 2019
2 Tuvalu 249.43 2019
3 Eswatini 159.45 2019
4 Lesotho 132.61 2019
5 Nauru 126.41 2019
6 Tonga 93.82 2019
7 Luxembourg 89.98 2019
8 Zambia 84.14 2019
9 São Tomé and Principe 75.94 2019
10 Samoa 71.63 2019
11 Israel 69.31 2019
12 Botswana 69.00 2019
13 Timor-Leste 68.37 2019
14 Mozambique 65.74 2019
15 Zimbabwe 61.59 2019
16 Haiti 58.04 2019
17 Rwanda 49.24 2019
18 Guinea-Bissau 47.21 2019
19 Sierra Leone 47.07 2019
20 Lao PDR 45.04 2019
21 Namibia 40.35 2019
22 The Gambia 40.16 2019
23 Fiji 39.32 2019
24 Uganda 38.82 2019
25 Kenya 38.43 2019
26 Kiribati 36.53 2019
27 Tanzania 35.91 2019
28 Malawi 35.59 2019
29 Afghanistan 35.44 2019
30 Vanuatu 34.60 2019
31 Papua New Guinea 33.89 2019
32 Eritrea 32.08 2019
33 Mali 31.63 2019
34 Liberia 31.11 2019
35 Bhutan 30.10 2019
36 Comoros 29.63 2019
37 Moldova 29.34 2019
38 Solomon Islands 28.61 2019
39 Serbia 27.68 2019
40 Côte d'Ivoire 27.36 2019
41 Senegal 25.97 2019
42 Ethiopia 25.62 2019
43 Cabo Verde 25.30 2019
44 Jordan 24.99 2019
45 Mongolia 24.73 2019
46 Bosnia and Herzegovina 22.78 2019
47 Mauritania 22.21 2019
48 Central African Republic 22.06 2019
49 Ghana 21.79 2019
50 Djibouti 21.62 2019
51 Cyprus 21.11 2019
52 Nepal 21.07 2019
53 Nigeria 20.69 2019
54 Cambodia 20.56 2019
55 Benin 19.96 2019
56 Cameroon 19.35 2019
57 Burkina Faso 19.34 2019
58 Myanmar 18.79 2019
59 Madagascar 18.41 2019
60 Guyana 18.13 2019
61 Armenia 16.09 2019
62 Burundi 15.85 2019
63 Dem. Rep. Congo 15.77 2019
64 Chad 14.18 2019
65 Sudan 13.41 2019
66 Belize 13.33 2019
67 South Africa 13.10 2019
68 Nicaragua 12.96 2019
69 Guinea 12.91 2019
70 Pakistan 11.75 2019
71 Honduras 11.53 2019
72 Lebanon 11.46 2019
73 Togo 11.45 2019
74 The Bahamas 11.37 2019
75 Niger 11.05 2019
76 Lithuania 10.08 2019
77 Suriname 9.99 2019
78 Albania 9.80 2018
79 St. Vincent and the Grenadines 9.62 2019
80 Dominican Republic 9.55 2019
81 Jamaica 9.52 2019
82 Barbados 9.14 2019
83 Yemen 8.56 2015
84 Sri Lanka 7.75 2019
85 Bangladesh 7.54 2019
86 Bolivia 7.11 2019
87 St. Lucia 6.92 2019
88 Congo 6.82 2019
89 Ukraine 6.17 2019
90 Egypt 6.16 2019
91 Kyrgyz Republic 6.05 2019
92 Latvia 5.65 2019
93 Angola 5.64 2019
94 Equatorial Guinea 5.55 2019
95 Argentina 5.51 2019
96 Vietnam 5.42 2019
97 Georgia 5.12 2019
98 Dominica 4.86 2019
99 Montenegro 4.67 2017
100 Guatemala 4.59 2019
101 Mauritius 4.31 2019
102 Colombia 4.22 2012
103 El Salvador 4.21 2019
104 Cuba 3.37 2019
105 Greece 3.33 2019
106 Tajikistan 3.31 2019
107 Morocco 3.05 2019
108 Tunisia 2.84 2019
109 Iraq 2.57 2019
110 Portugal 2.47 2019
111 Gabon 2.46 2019
112 Panama 2.31 2019
113 Brazil 2.19 2019
114 Indonesia 1.99 2019
115 Azerbaijan 1.83 2019
116 India 1.76 2019
117 Belarus 1.67 2019
118 Syrian Arab Republic 1.63 2012
119 Netherlands 1.59 2019
120 Philippines 1.57 2019
121 Peru 1.39 2019
122 Poland 1.22 2019
123 Trinidad and Tobago 1.16 2019
124 Kazakhstan 1.14 2018
125 Turkmenistan 1.07 2019
126 Ecuador 0.97 2019
127 Thailand 0.83 2019
128 Grenada 0.81 2019
129 United Kingdom 0.76 2019
130 Malta 0.65 2019
131 Estonia 0.54 2019
132 Antigua and Barbuda 0.47 2019
133 Romania 0.45 2014
134 Algeria 0.33 2019
135 Finland 0.30 2019
136 Libya 0.24 2011
137 Uzbekistan 0.22 2019
138 Croatia 0.19 2019
139 Venezuela 0.15 2019
140 Iran 0.13 2019
141 Paraguay 0.10 2019
142 North Macedonia 0.02 2018
143 Costa Rica 0.02 2019
144 China 0.01 2019
145 Brunei 0.00 2019
145 Canada 0.00 2019
145 Switzerland 0.00 2018
145 Belgium 0.00 2019
145 United Arab Emirates 0.00 2019
145 Germany 0.00 2018
145 Denmark 0.00 2019
145 Kuwait 0.00 2019
145 Norway 0.00 2019
145 Qatar 0.00 2019
145 Russia 0.00 2019
145 Oman 0.00 2019
145 Iceland 0.00 2019
145 Ireland 0.00 2019
145 Japan 0.00 2019
145 Italy 0.00 2019
145 St. Kitts and Nevis 0.00 2019
145 Czech Republic 0.00 2019
145 Chile 0.00 2019
145 Spain 0.00 2019
145 Hungary 0.00 2019
145 Australia 0.00 2019
145 Austria 0.00 2019
145 Bahrain 0.00 2019
145 Singapore 0.00 2019
145 Seychelles 0.00 2019
145 Uruguay 0.00 2019
145 United States 0.00 2019
145 Saudi Arabia 0.00 2019
145 Malaysia 0.00 2019
145 Turkey 0.00 2019
145 Sweden 0.00 2019

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Development Relevance: Strengthening health financing is one objective of Sustainable Development Goal 3 (SDG target 3.c). The levels and trends of health expenditure data identify key issues such as weaknesses and strengths and areas that need investment, for instance additional health facilities, better health information systems, or better trained human resources. Health financing is also critical for reaching universal health coverage (UHC) defined as all people obtaining the quality health services they need without suffering financial hardship (SDG 3.8). The data on out-of-pocket spending is a key indicator with regard to financial protection and hence of progress towards UHC.

Original Source Notes: The World Health Organization (WHO) has revised health expenditure data using the new international classification for health expenditures in the revised System of Health Accounts (SHA 2011). WHO’s Global Health Expenditure Database in this new version i

Statistical Concept and Methodology: The health expenditure estimates have been prepared by the World Health Organization under the framework of the System of Health Accounts 2011 (SHA 2011). The Health SHA 2011 tracks all health spending in a given country over a defined period of time regardless of the entity or institution that financed and managed that spending. It generates consistent and comprehensive data on health spending in a country, which in turn can contribute to evidence-based policy-making.

Aggregation method: Weighted average

Periodicity: Annual