External health expenditure (% of current health expenditure) - Country Ranking

Definition: Share of current health expenditures funded from external sources. External sources compose of direct foreign transfers and foreign transfers distributed by government encompassing all financial inflows into the national health system from outside the country. External sources either flow through the government scheme or are channeled through non-governmental organizations or other schemes.

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 Mozambique 62.72 2019
2 The Gambia 45.27 2019
3 Zambia 43.70 2019
4 Malawi 43.56 2019
5 Lesotho 42.29 2019
6 Uganda 42.02 2019
7 Haiti 40.46 2019
8 Eritrea 39.20 2019
9 Dem. Rep. Congo 38.83 2019
10 Tanzania 36.14 2019
11 Ethiopia 34.10 2019
12 Rwanda 33.79 2019
13 São Tomé and Principe 33.48 2019
14 Mali 33.45 2019
15 Papua New Guinea 32.39 2019
16 Vanuatu 31.27 2019
17 Timor-Leste 31.04 2019
18 Sierra Leone 29.98 2019
19 Zimbabwe 29.55 2019
20 Tonga 28.25 2019
21 Madagascar 28.23 2019
22 Central African Republic 28.12 2019
23 Palau 26.35 2019
24 Eswatini 26.12 2019
25 Burundi 25.65 2019
26 Guinea-Bissau 25.32 2019
27 Liberia 24.69 2019
28 Benin 24.34 2019
29 Tuvalu 23.28 2019
30 Solomon Islands 21.82 2019
31 Lao PDR 21.21 2019
32 Djibouti 20.76 2019
33 Chad 20.43 2019
34 Kenya 18.51 2019
35 Senegal 17.93 2019
36 Comoros 17.57 2019
37 Samoa 16.54 2019
38 Burkina Faso 15.80 2019
39 Niger 15.25 2019
40 Côte d'Ivoire 15.24 2019
41 Kiribati 14.79 2019
42 Cameroon 14.21 2019
43 Nigeria 12.75 2019
44 Afghanistan 12.41 2019
45 Nepal 11.91 2019
46 Mauritania 11.87 2019
47 Ghana 11.27 2019
48 Guinea 10.80 2019
49 Togo 9.12 2019
50 Nauru 9.10 2019
51 Congo 8.35 2019
52 Myanmar 8.29 2019
53 Yemen 7.78 2015
54 Fiji 7.21 2019
55 Pakistan 7.09 2019
56 Bhutan 6.96 2019
57 Cabo Verde 6.84 2019
58 Sudan 6.56 2019
59 Cambodia 6.50 2019
60 Botswana 6.15 2019
61 Bangladesh 6.12 2019
62 Mongolia 5.11 2019
63 Namibia 4.65 2019
64 Moldova 3.41 2019
65 Angola 3.17 2019
66 Jordan 3.13 2019
67 Belize 2.99 2019
68 Nicaragua 2.73 2019
69 Guyana 2.69 2019
70 Honduras 2.65 2019
71 Kyrgyz Republic 2.32 2019
72 Israel 2.08 2019
73 Serbia 1.64 2019
74 Jamaica 1.59 2019
75 St. Vincent and the Grenadines 1.55 2019
76 Bosnia and Herzegovina 1.54 2019
77 Sri Lanka 1.36 2019
78 Albania 1.35 2018
79 Luxembourg 1.33 2019
80 Tajikistan 1.32 2019
81 Bolivia 1.13 2019
82 South Africa 1.10 2019
83 Egypt 1.06 2019
84 Syrian Arab Republic 1.02 2012
85 Armenia 1.00 2019
86 St. Lucia 0.99 2019
87 Vietnam 0.97 2019
88 Equatorial Guinea 0.91 2019
89 Lebanon 0.89 2019
90 Barbados 0.89 2019
91 Guatemala 0.87 2019
92 Dominican Republic 0.84 2019
93 India 0.83 2019
94 Dominica 0.72 2019
95 Morocco 0.72 2019
96 Cyprus 0.70 2019
97 Ukraine 0.68 2019
98 El Salvador 0.64 2019
99 Suriname 0.59 2019
100 Gabon 0.57 2019
101 Indonesia 0.56 2019
102 Iraq 0.53 2019
103 Georgia 0.53 2019
104 Colombia 0.53 2012
105 The Bahamas 0.51 2019
106 Philippines 0.41 2019
107 Lithuania 0.36 2019
108 Tunisia 0.36 2019
109 Azerbaijan 0.30 2019
110 Montenegro 0.30 2017
111 Mauritius 0.29 2019
112 Latvia 0.27 2019
113 Argentina 0.25 2019
114 Peru 0.20 2019
115 Kazakhstan 0.15 2018
116 Brazil 0.15 2019
117 Belarus 0.14 2019
118 Greece 0.14 2019
119 Cuba 0.13 2019
120 Thailand 0.11 2019
121 Ecuador 0.10 2019
122 Turkmenistan 0.10 2019
123 Panama 0.09 2019
124 Grenada 0.09 2019
125 Portugal 0.07 2019
126 Trinidad and Tobago 0.06 2019
127 Poland 0.06 2019
128 Uzbekistan 0.05 2019
129 Antigua and Barbuda 0.05 2019
130 Algeria 0.04 2019
131 Romania 0.04 2014
132 Venezuela 0.04 2019
133 Libya 0.04 2011
134 Netherlands 0.03 2019
135 Estonia 0.02 2019
136 Malta 0.02 2019
137 Iran 0.01 2019
138 United Kingdom 0.01 2019
139 Paraguay 0.01 2019
140 Croatia 0.01 2019
141 Finland 0.01 2019
142 North Macedonia 0.00 2018
143 Costa Rica 0.00 2019
144 China 0.00 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 Oman 0.00 2019
145 Qatar 0.00 2019
145 Russia 0.00 2019
145 Singapore 0.00 2019
145 Japan 0.00 2019
145 St. Kitts and Nevis 0.00 2019
145 Iceland 0.00 2019
145 Italy 0.00 2019
145 Ireland 0.00 2019
145 Hungary 0.00 2019
145 Spain 0.00 2019
145 Chile 0.00 2019
145 Australia 0.00 2019
145 Austria 0.00 2019
145 Bahrain 0.00 2019
145 Czech Republic 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 Sweden 0.00 2019
145 Malaysia 0.00 2019
145 Turkey 0.00 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