Domestic general government health expenditure (% of general government expenditure) - Country Ranking

Definition: Public expenditure on health from domestic sources as a share of total public expenditure. It indicates the priority of the government to spend on health from own domestic public resources.

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 United States 39.46 2016
2 Costa Rica 29.19 2016
3 Japan 23.39 2016
4 Iran 22.60 2016
5 New Zealand 22.48 2016
6 Switzerland 22.40 2016
7 Panama 21.44 2016
8 Germany 21.36 2016
9 El Salvador 20.93 2016
10 Nicaragua 20.04 2016
11 Chile 19.74 2016
12 Ireland 19.65 2016
13 Uruguay 19.49 2016
14 Netherlands 19.31 2016
15 Canada 19.02 2016
16 United Kingdom 18.88 2016
17 Palau 18.71 2016
18 Sweden 18.47 2016
19 Guatemala 17.94 2016
20 Madagascar 17.83 2016
21 Norway 17.59 2016
22 Australia 17.42 2016
23 Cuba 17.26 2016
24 France 16.97 2016
25 Suriname 16.58 2016
26 Denmark 16.25 2016
27 Paraguay 16.18 2016
28 Dominican Republic 16.00 2016
29 The Bahamas 15.98 2016
30 Belgium 15.84 2016
31 Malta 15.82 2016
32 Peru 15.71 2016
33 Bosnia and Herzegovina 15.44 2016
34 Thailand 15.26 2016
35 Eswatini 15.23 2016
36 Spain 15.14 2016
37 Iceland 14.94 2016
38 Austria 14.93 2016
39 Czech Republic 14.83 2016
40 Zimbabwe 14.51 2016
41 Lebanon 14.33 2016
42 Honduras 14.04 2016
43 Andorra 14.02 2016
44 Namibia 13.80 2016
45 Tunisia 13.72 2016
46 Slovak Republic 13.71 2016
47 Singapore 13.56 2016
48 Argentina 13.56 2016
49 Slovenia 13.52 2016
50 Italy 13.47 2016
51 Korea 13.45 2016
52 Portugal 13.40 2016
53 Colombia 13.37 2016
54 South Africa 13.32 2016
55 Finland 13.12 2016
56 North Macedonia 13.05 2016
57 Guinea-Bissau 12.88 2016
58 Jamaica 12.85 2016
59 Lithuania 12.80 2016
60 Samoa 12.48 2016
61 Belize 12.42 2016
62 Estonia 12.41 2016
63 Serbia 12.34 2016
64 San Marino 12.24 2016
65 Moldova 12.12 2016
66 Montenegro 12.06 2016
67 Croatia 11.97 2016
68 Jordan 11.96 2016
69 Bulgaria 11.90 2016
70 Luxembourg 11.88 2016
71 Israel 11.56 2016
72 Bolivia 11.33 2016
73 Romania 11.32 2016
74 Poland 11.04 2016
75 Burkina Faso 11.03 2016
76 Ecuador 10.99 2016
77 Lesotho 10.90 2016
78 Antigua and Barbuda 10.76 2016
79 Algeria 10.73 2016
80 Sudan 10.73 2016
81 Hungary 10.42 2016
82 Mexico 10.41 2016
83 Greece 10.32 2016
84 Georgia 10.29 2016
85 Saudi Arabia 10.06 2016
86 Seychelles 10.03 2016
87 Mauritius 9.96 2016
88 Brazil 9.90 2016
89 Cabo Verde 9.89 2016
90 Malawi 9.83 2016
91 Trinidad and Tobago 9.66 2016
92 Turkey 9.65 2016
93 St. Vincent and the Grenadines 9.56 2016
94 Tanzania 9.52 2016
95 Albania 9.51 2016
96 Kazakhstan 9.40 2016
97 Barbados 9.28 2016
98 Uzbekistan 9.20 2016
99 Gabon 9.20 2016
100 Latvia 9.18 2016
101 Botswana 9.15 2016
102 Morocco 9.07 2016
103 China 9.05 2016
104 Grenada 9.02 2016
105 Tuvalu 9.01 2016
106 Vietnam 8.95 2016
107 Rwanda 8.88 2016
108 Turkmenistan 8.71 2016
109 Sri Lanka 8.56 2016
110 Burundi 8.52 2016
111 Belarus 8.47 2016
112 St. Lucia 8.46 2016
113 Bahrain 8.41 2016
114 Mozambique 8.35 2016
115 Indonesia 8.31 2016
116 Bhutan 8.30 2016
117 Russia 8.23 2016
118 Malaysia 8.23 2016
119 St. Kitts and Nevis 8.15 2016
120 Tonga 8.04 2016
121 Solomon Islands 8.04 2016
122 Dominica 8.03 2016
123 Sierra Leone 7.91 2016
124 United Arab Emirates 7.89 2016
125 Guyana 7.72 2016
126 Fiji 7.66 2016
127 Oman 7.57 2016
128 Cyprus 7.53 2016
129 São Tomé and Principe 7.45 2016
130 Papua New Guinea 7.21 2016
131 Zambia 7.13 2016
132 Philippines 7.10 2016
133 Ukraine 7.03 2016
134 Monaco 6.70 2016
135 Kyrgyz Republic 6.60 2016
136 Ghana 6.54 2016
137 Qatar 6.29 2016
138 Kuwait 6.21 2016
139 Cambodia 6.16 2016
140 Senegal 6.15 2016
141 Kenya 6.06 2016
142 Armenia 6.05 2016
143 Ethiopia 6.02 2016
144 Chad 5.90 2016
145 Niger 5.69 2016
146 Brunei 5.69 2016
147 Kiribati 5.54 2016
148 Mauritania 5.53 2016
149 Angola 5.43 2016
150 Mali 5.43 2016
151 Vanuatu 5.39 2016
152 Mongolia 5.33 2016
153 Nepal 5.31 2016
154 Uganda 5.14 2016
155 Central African Republic 5.06 2016
156 Tajikistan 5.04 2016
157 Nauru 5.04 2016
158 Nigeria 5.01 2016
159 Côte d'Ivoire 4.88 2016
160 Myanmar 4.79 2016
161 Haiti 4.42 2016
162 Togo 4.25 2016
163 Egypt 4.22 2016
164 Guinea 4.11 2016
165 Congo 3.92 2016
166 Azerbaijan 3.88 2016
167 Liberia 3.86 2016
168 Pakistan 3.86 2016
169 Lao PDR 3.74 2016
170 Dem. Rep. Congo 3.73 2016
171 Benin 3.72 2016
172 Comoros 3.63 2016
173 Bangladesh 3.38 2016
174 Timor-Leste 3.22 2016
175 India 3.14 2016
176 Djibouti 3.10 2016
177 Cameroon 2.95 2016
178 Eritrea 2.92 2016
179 The Gambia 2.76 2016
180 Equatorial Guinea 2.59 2016
181 Afghanistan 2.01 2016
182 Venezuela 1.86 2016
183 Iraq 1.70 2016
184 Syrian Arab Republic 0.00 2015
184 Yemen 0.00 2016
184 Libya 0.00 2016

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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