Out-of-pocket expenditure (% of current health expenditure) - Country Ranking
Definition: Share of out-of-pocket payments of total current health expenditures. Out-of-pocket payments are spending on health directly out-of-pocket by households.
Source: World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).
See also: Thematic map, Time series comparison
| Rank | Country | Value | Year |
|---|---|---|---|
| 1 | Armenia | 84.79 | 2019 |
| 2 | Yemen | 80.96 | 2015 |
| 3 | Afghanistan | 79.30 | 2019 |
| 4 | Turkmenistan | 76.79 | 2019 |
| 5 | Myanmar | 75.95 | 2019 |
| 6 | Equatorial Guinea | 75.47 | 2019 |
| 7 | Bangladesh | 72.68 | 2019 |
| 8 | Cameroon | 72.53 | 2019 |
| 9 | Tajikistan | 71.22 | 2019 |
| 10 | Nigeria | 70.52 | 2019 |
| 11 | Azerbaijan | 67.96 | 2019 |
| 12 | Sudan | 67.38 | 2019 |
| 13 | Togo | 66.21 | 2019 |
| 14 | Guinea-Bissau | 65.16 | 2019 |
| 15 | Cambodia | 64.39 | 2019 |
| 16 | Egypt | 62.75 | 2019 |
| 17 | Comoros | 61.83 | 2019 |
| 18 | Central African Republic | 60.32 | 2019 |
| 19 | Guinea | 59.22 | 2019 |
| 20 | Nepal | 57.91 | 2019 |
| 21 | Uzbekistan | 57.68 | 2019 |
| 22 | Chad | 57.22 | 2019 |
| 23 | Guatemala | 55.99 | 2019 |
| 24 | Sierra Leone | 55.18 | 2019 |
| 25 | India | 54.78 | 2019 |
| 26 | Grenada | 54.42 | 2019 |
| 27 | Liberia | 54.40 | 2019 |
| 28 | Pakistan | 53.81 | 2019 |
| 29 | Syrian Arab Republic | 53.69 | 2012 |
| 30 | Honduras | 52.61 | 2019 |
| 31 | Ukraine | 51.12 | 2019 |
| 32 | Senegal | 50.99 | 2019 |
| 33 | Iraq | 50.10 | 2019 |
| 34 | Philippines | 48.56 | 2019 |
| 35 | Benin | 47.04 | 2019 |
| 36 | Trinidad and Tobago | 46.91 | 2019 |
| 37 | Morocco | 46.81 | 2019 |
| 38 | Georgia | 46.77 | 2019 |
| 39 | Barbados | 46.73 | 2019 |
| 40 | St. Kitts and Nevis | 46.37 | 2019 |
| 41 | St. Lucia | 46.25 | 2019 |
| 42 | Kyrgyz Republic | 46.18 | 2019 |
| 43 | Niger | 46.10 | 2019 |
| 44 | Congo | 45.86 | 2019 |
| 45 | Mauritius | 45.72 | 2019 |
| 46 | Sri Lanka | 45.64 | 2019 |
| 47 | Mauritania | 45.02 | 2019 |
| 48 | Albania | 44.58 | 2018 |
| 49 | Haiti | 43.30 | 2019 |
| 50 | Eritrea | 43.20 | 2019 |
| 51 | Vietnam | 42.95 | 2019 |
| 52 | Dominican Republic | 42.95 | 2019 |
| 53 | Mexico | 42.12 | 2019 |
| 54 | Lao PDR | 41.83 | 2019 |
| 55 | Paraguay | 41.63 | 2019 |
| 56 | North Macedonia | 40.38 | 2019 |
| 57 | Iran | 39.49 | 2019 |
| 58 | Bulgaria | 38.97 | 2019 |
| 59 | Montenegro | 38.56 | 2019 |
| 60 | Dem. Rep. Congo | 38.50 | 2019 |
| 61 | Uganda | 38.26 | 2019 |
| 62 | Tunisia | 37.94 | 2019 |
| 63 | Ethiopia | 37.88 | 2019 |
| 64 | Angola | 37.46 | 2019 |
| 65 | Côte d'Ivoire | 37.29 | 2019 |
| 66 | Serbia | 37.04 | 2019 |
| 67 | Libya | 36.67 | 2011 |
| 68 | Russia | 36.57 | 2019 |
| 69 | Ghana | 36.22 | 2019 |
| 70 | Latvia | 35.72 | 2019 |
| 71 | Moldova | 35.69 | 2019 |
| 72 | China | 35.23 | 2019 |
| 73 | Greece | 35.18 | 2019 |
| 74 | Guyana | 34.83 | 2019 |
| 75 | Mongolia | 34.77 | 2019 |
| 76 | Indonesia | 34.76 | 2019 |
| 77 | Burkina Faso | 34.69 | 2019 |
| 78 | Malta | 34.65 | 2019 |
| 79 | Malaysia | 34.57 | 2019 |
| 80 | Nicaragua | 34.41 | 2019 |
| 81 | Kazakhstan | 33.86 | 2019 |
| 82 | Dominica | 33.86 | 2019 |
| 83 | Lebanon | 33.54 | 2019 |
| 84 | Algeria | 33.44 | 2019 |
| 85 | Chile | 32.80 | 2019 |
| 86 | Madagascar | 32.52 | 2019 |
| 87 | Lithuania | 32.27 | 2019 |
| 88 | Mali | 31.35 | 2019 |
| 89 | Ecuador | 30.88 | 2019 |
| 90 | Cyprus | 30.57 | 2019 |
| 91 | Portugal | 30.45 | 2019 |
| 92 | Jordan | 30.29 | 2019 |
| 93 | Korea | 30.25 | 2019 |
| 94 | Singapore | 30.15 | 2019 |
| 95 | Bahrain | 29.73 | 2019 |
| 96 | Bosnia and Herzegovina | 29.35 | 2019 |
| 97 | St. Vincent and the Grenadines | 29.11 | 2019 |
| 98 | El Salvador | 28.37 | 2019 |
| 99 | Hungary | 28.16 | 2019 |
| 100 | Peru | 28.13 | 2019 |
| 101 | Argentina | 27.66 | 2019 |
| 102 | Panama | 27.57 | 2019 |
| 103 | The Bahamas | 26.23 | 2019 |
| 104 | Belarus | 25.69 | 2019 |
| 105 | Switzerland | 25.29 | 2019 |
| 106 | Seychelles | 25.23 | 2019 |
| 107 | Cabo Verde | 24.94 | 2019 |
| 108 | Brazil | 24.88 | 2019 |
| 109 | Burundi | 24.68 | 2019 |
| 110 | Zimbabwe | 24.38 | 2019 |
| 111 | Kenya | 24.30 | 2019 |
| 112 | Antigua and Barbuda | 24.27 | 2019 |
| 113 | Djibouti | 24.15 | 2019 |
| 114 | Estonia | 24.05 | 2019 |
| 115 | Bolivia | 23.87 | 2019 |
| 116 | Italy | 23.31 | 2019 |
| 117 | The Gambia | 23.19 | 2019 |
| 118 | Gabon | 23.09 | 2019 |
| 119 | Costa Rica | 22.32 | 2019 |
| 120 | Tanzania | 22.15 | 2019 |
| 121 | Spain | 21.81 | 2019 |
| 122 | Belize | 21.81 | 2019 |
| 123 | Israel | 20.98 | 2019 |
| 124 | Poland | 20.44 | 2019 |
| 125 | Slovak Republic | 19.16 | 2019 |
| 126 | Austria | 19.07 | 2019 |
| 127 | Romania | 18.88 | 2019 |
| 128 | Venezuela | 18.46 | 2019 |
| 129 | Belgium | 18.17 | 2019 |
| 130 | Bhutan | 17.79 | 2019 |
| 131 | São Tomé and Principe | 17.66 | 2019 |
| 132 | Finland | 17.45 | 2019 |
| 133 | United Kingdom | 17.07 | 2019 |
| 134 | San Marino | 16.98 | 2019 |
| 135 | Turkey | 16.89 | 2019 |
| 136 | Malawi | 16.86 | 2019 |
| 137 | Saudi Arabia | 16.50 | 2019 |
| 138 | Jamaica | 16.44 | 2019 |
| 139 | Suriname | 16.09 | 2019 |
| 140 | Australia | 15.98 | 2019 |
| 141 | Iceland | 15.46 | 2019 |
| 142 | Uruguay | 15.46 | 2019 |
| 143 | Canada | 14.91 | 2019 |
| 144 | Colombia | 14.86 | 2019 |
| 145 | Denmark | 14.17 | 2019 |
| 146 | Czech Republic | 14.15 | 2019 |
| 147 | Sweden | 13.88 | 2019 |
| 148 | Norway | 13.86 | 2019 |
| 149 | Lesotho | 13.76 | 2019 |
| 150 | Fiji | 13.19 | 2019 |
| 151 | Andorra | 13.11 | 2019 |
| 152 | Japan | 12.91 | 2019 |
| 153 | Germany | 12.82 | 2019 |
| 154 | United Arab Emirates | 12.51 | 2019 |
| 155 | Qatar | 12.33 | 2019 |
| 156 | New Zealand | 12.24 | 2019 |
| 157 | Palau | 12.00 | 2019 |
| 158 | Kuwait | 11.79 | 2019 |
| 159 | Ireland | 11.72 | 2019 |
| 160 | Rwanda | 11.67 | 2019 |
| 161 | Slovenia | 11.66 | 2019 |
| 162 | Croatia | 11.46 | 2019 |
| 163 | United States | 11.31 | 2019 |
| 164 | Cuba | 10.59 | 2019 |
| 165 | Netherlands | 10.58 | 2019 |
| 166 | Eswatini | 10.58 | 2019 |
| 167 | Zambia | 10.23 | 2019 |
| 168 | Samoa | 10.14 | 2019 |
| 169 | Mozambique | 9.98 | 2019 |
| 170 | Papua New Guinea | 9.92 | 2019 |
| 171 | Tonga | 9.86 | 2019 |
| 172 | Luxembourg | 9.62 | 2019 |
| 173 | France | 9.26 | 2019 |
| 174 | Thailand | 8.67 | 2019 |
| 175 | Vanuatu | 8.54 | 2019 |
| 176 | Namibia | 8.24 | 2019 |
| 177 | Timor-Leste | 8.15 | 2019 |
| 178 | Monaco | 7.96 | 2019 |
| 179 | Oman | 6.56 | 2019 |
| 180 | South Africa | 5.69 | 2019 |
| 181 | Brunei | 5.68 | 2019 |
| 182 | Solomon Islands | 3.44 | 2019 |
| 183 | Botswana | 3.14 | 2019 |
| 184 | Nauru | 1.15 | 2019 |
| 185 | Tuvalu | 0.32 | 2019 |
| 186 | Kiribati | 0.10 | 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
