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

Definition: Public expenditure on health from domestic sources as a share of the economy as measured by GDP.

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 Tuvalu 17.80 2019
2 Cuba 10.13 2019
3 Sweden 9.22 2019
4 Germany 9.09 2019
5 Norway 9.03 2019
6 Japan 9.01 2019
7 United States 8.52 2019
8 Kiribati 8.45 2019
9 Nauru 8.44 2019
10 France 8.33 2019
11 Denmark 8.29 2019
12 Belgium 8.18 2019
13 United Kingdom 8.07 2019
14 Austria 7.62 2019
15 Canada 7.61 2019
16 New Zealand 7.36 2019
17 Finland 7.34 2019
18 Iceland 7.16 2019
19 Australia 7.10 2019
20 Suriname 7.01 2019
21 Palau 6.82 2019
22 Netherlands 6.68 2019
23 Spain 6.45 2019
24 Italy 6.41 2019
25 Czech Republic 6.39 2019
26 Uruguay 6.23 2019
27 Bosnia and Herzegovina 6.22 2019
28 Slovenia 6.17 2019
29 Argentina 5.93 2019
30 Portugal 5.81 2019
31 Croatia 5.69 2019
32 Colombia 5.54 2019
33 Slovak Republic 5.48 2019
34 South Africa 5.35 2019
35 Costa Rica 5.28 2019
36 San Marino 5.25 2019
37 Malta 5.18 2019
38 Nicaragua 5.12 2019
39 Montenegro 5.07 2019
40 Serbia 5.06 2019
41 Panama 5.01 2019
42 Estonia 5.01 2019
43 Ireland 4.98 2019
44 Bolivia 4.93 2019
45 Lesotho 4.91 2019
46 Korea 4.86 2019
47 Israel 4.83 2019
48 Ecuador 4.83 2019
49 Kuwait 4.78 2019
50 Chile 4.75 2019
51 Botswana 4.75 2019
52 Andorra 4.66 2019
53 Samoa 4.62 2019
54 Luxembourg 4.61 2019
55 Romania 4.60 2019
56 Poland 4.60 2019
57 Lithuania 4.56 2019
58 El Salvador 4.55 2019
59 Hungary 4.32 2019
60 North Macedonia 4.28 2019
61 Lebanon 4.24 2019
62 Bulgaria 4.22 2019
63 Belize 4.17 2019
64 Belarus 4.13 2019
65 Algeria 4.06 2019
66 Timor-Leste 4.00 2019
67 Namibia 3.99 2019
68 Latvia 3.98 2019
69 Jamaica 3.98 2019
70 Tunisia 3.98 2019
71 Saudi Arabia 3.93 2019
72 Cyprus 3.93 2019
73 Brazil 3.91 2019
74 Jordan 3.88 2019
75 Libya 3.83 2011
76 Moldova 3.81 2019
77 Seychelles 3.78 2019
78 Greece 3.77 2019
79 Switzerland 3.63 2019
80 Solomon Islands 3.57 2019
81 Oman 3.52 2019
82 Dominica 3.52 2019
83 Russia 3.45 2019
84 Eswatini 3.44 2019
85 Turkey 3.38 2019
86 Iran 3.32 2019
87 Paraguay 3.30 2019
88 Peru 3.28 2019
89 Cabo Verde 3.25 2019
90 Trinidad and Tobago 3.23 2019
91 Ukraine 3.18 2019
92 St. Vincent and the Grenadines 3.15 2019
93 China 3.00 2019
94 The Bahamas 2.99 2019
95 Guyana 2.93 2019
96 Mauritius 2.92 2019
97 Tonga 2.89 2019
98 Honduras 2.85 2019
99 Albania 2.82 2018
100 Barbados 2.82 2019
101 Georgia 2.72 2019
102 Thailand 2.72 2019
103 Mexico 2.68 2019
104 Burundi 2.67 2019
105 Dominican Republic 2.66 2019
106 St. Kitts and Nevis 2.66 2019
107 Bhutan 2.65 2019
108 São Tomé and Principe 2.62 2019
109 Antigua and Barbuda 2.60 2019
110 Rwanda 2.56 2019
111 Fiji 2.50 2019
112 Venezuela 2.47 2019
113 Malawi 2.41 2019
114 Guatemala 2.39 2019
115 Bahrain 2.37 2019
116 Uzbekistan 2.34 2019
117 Kyrgyz Republic 2.31 2019
118 Vietnam 2.30 2019
119 Burkina Faso 2.29 2019
120 United Arab Emirates 2.24 2019
121 Iraq 2.21 2019
122 Mongolia 2.13 2019
123 Zambia 2.13 2019
124 Qatar 2.12 2019
125 Morocco 2.12 2019
126 Kenya 2.11 2019
127 Grenada 2.06 2019
128 St. Lucia 2.05 2019
129 Singapore 2.05 2019
130 Brunei 2.04 2019
131 Niger 2.02 2019
132 Malaysia 2.00 2019
133 Tajikistan 1.94 2019
134 Sri Lanka 1.93 2019
135 Vanuatu 1.92 2019
136 Cambodia 1.70 2019
137 Kazakhstan 1.67 2019
138 Gabon 1.67 2019
139 Mozambique 1.67 2019
140 Philippines 1.66 2019
141 Syrian Arab Republic 1.61 2012
142 Tanzania 1.56 2019
143 Indonesia 1.42 2019
144 Armenia 1.41 2019
145 Ghana 1.38 2019
146 Liberia 1.36 2019
147 Zimbabwe 1.36 2019
148 Papua New Guinea 1.33 2019
149 Egypt 1.32 2019
150 Mali 1.31 2019
151 Monaco 1.30 2019
152 Azerbaijan 1.28 2019
153 Mauritania 1.24 2019
154 Sierra Leone 1.23 2019
155 Madagascar 1.19 2019
156 Turkmenistan 1.18 2019
157 Nepal 1.10 2019
158 Afghanistan 1.08 2019
159 Pakistan 1.08 2019
160 Angola 1.04 2019
161 The Gambia 1.04 2019
162 Sudan 1.04 2019
163 Senegal 1.03 2019
164 India 0.99 2019
165 Djibouti 0.97 2019
166 Lao PDR 0.96 2019
167 Côte d'Ivoire 0.96 2019
168 Guinea 0.90 2019
169 Togo 0.86 2019
170 Comoros 0.83 2019
171 Central African Republic 0.82 2019
172 Eritrea 0.78 2019
173 Congo 0.78 2019
174 Chad 0.75 2019
175 Myanmar 0.74 2019
176 Ethiopia 0.74 2019
177 Equatorial Guinea 0.67 2019
178 Uganda 0.58 2019
179 Dem. Rep. Congo 0.56 2019
180 Benin 0.54 2019
181 Guinea-Bissau 0.53 2019
182 Haiti 0.52 2019
183 Nigeria 0.48 2019
184 Bangladesh 0.46 2019
185 Yemen 0.43 2015
186 Cameroon 0.12 2019

More rankings: Africa | Asia | Central America & the Caribbean | Europe | Middle East | North America | Oceania | South America | World |

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