NCD Mortality (30-70)
Probability of dying between ages 30 and 70 from cardiovascular disease, cancer, diabetes, or chronic respiratory disease.
This page uses the latest available WHO observation (2021). Country-level datasets often lag the current calendar year because they depend on official reporting and validation.
What is the global average NCD Mortality (30-70)?
The global average NCD Mortality (30-70) is 18.89 % probability as of 2021. Kiribati has the highest at 44.1 % probability, while South Korea has the lowest at 6.9 % probability. Data covers 185 countries. Source: WHO.
Top Countries
Regional Averages
Country Rankings
View full rankings| # | Country | Value |
|---|---|---|
| 1 | Kiribati | 44.1 % probability |
| 2 | Solomon Islands | 40.6 % probability |
| 3 | Micronesia | 40.5 % probability |
| 4 | Fiji | 37.9 % probability |
| 5 | Vanuatu | 36.8 % probability |
| 6 | Lesotho | 36.3 % probability |
| 7 | Afghanistan | 32.7 % probability |
| 8 | Eswatini | 32.3 % probability |
| 9 | Samoa | 32.3 % probability |
| 10 | Philippines | 31.9 % probability |
| 11 | Haiti | 31.6 % probability |
| 12 | Zimbabwe | 31.2 % probability |
| 13 | Central African Republic | 30.8 % probability |
| 14 | Papua New Guinea | 28.5 % probability |
| 15 | Somalia | 27.6 % probability |
| 16 | Eritrea | 27.3 % probability |
| 17 | Tonga | 26.9 % probability |
| 18 | Mozambique | 26.6 % probability |
| 19 | Laos | 26.5 % probability |
| 20 | Mongolia | 26.3 % probability |
| 21 | Egypt | 26 % probability |
| 22 | Madagascar | 25.9 % probability |
| 23 | Yemen | 25.8 % probability |
| 24 | Turkmenistan | 25.7 % probability |
| 25 | Bulgaria | 25.6 % probability |
| 26 | Pakistan | 25.5 % probability |
| 27 | Guyana | 25.4 % probability |
| 28 | Togo | 25.4 % probability |
| 29 | Guinea-Bissau | 25.3 % probability |
| 30 | DR Congo | 25.1 % probability |
| 31 | Malawi | 24.9 % probability |
| 32 | Burundi | 24.8 % probability |
| 33 | Ukraine | 24.8 % probability |
| 34 | Angola | 24.7 % probability |
| 35 | Moldova | 24.7 % probability |
| 36 | Uzbekistan | 24.6 % probability |
| 37 | Cameroon | 24.3 % probability |
| 38 | Myanmar | 24 % probability |
| 39 | Sierra Leone | 23.9 % probability |
| 40 | Belarus | 23.8 % probability |
| 41 | North Korea | 23.7 % probability |
| 42 | Guinea | 23.6 % probability |
| 43 | India | 23.6 % probability |
| 44 | Saint Vincent and the Grenadines | 23.6 % probability |
| 45 | Zambia | 23.6 % probability |
| 46 | Burkina Faso | 23.4 % probability |
| 47 | Chad | 23.4 % probability |
| 48 | Namibia | 23.1 % probability |
| 49 | Mali | 23 % probability |
| 50 | Ivory Coast | 22.7 % probability |
| 51 | Iraq | 22.7 % probability |
| 52 | Latvia | 22.7 % probability |
| 53 | South Africa | 22.7 % probability |
| 54 | Cambodia | 22.6 % probability |
| 55 | Russia | 22.4 % probability |
| 56 | South Sudan | 22.4 % probability |
| 57 | Ghana | 22.2 % probability |
| 58 | Georgia | 22.1 % probability |
| 59 | Liberia | 22 % probability |
| 60 | Morocco | 22 % probability |
| 61 | Indonesia | 21.9 % probability |
| 62 | Gambia | 21.8 % probability |
| 63 | Hungary | 21.7 % probability |
| 64 | Mauritius | 21.7 % probability |
| 65 | Romania | 21.5 % probability |
| 66 | Uganda | 21.5 % probability |
| 67 | Senegal | 21.4 % probability |
| 68 | Syria | 21.3 % probability |
| 69 | Republic of the Congo | 21.2 % probability |
| 70 | Kazakhstan | 21.2 % probability |
| 71 | Sudan | 21.2 % probability |
| 72 | Benin | 20.8 % probability |
| 73 | Serbia | 20.7 % probability |
| 74 | Armenia | 20.6 % probability |
| 75 | Djibouti | 20.6 % probability |
| 76 | Bahamas | 20.4 % probability |
| 77 | Equatorial Guinea | 20.3 % probability |
| 78 | Trinidad and Tobago | 20.3 % probability |
| 79 | Jamaica | 20.2 % probability |
| 80 | Comoros | 20.2 % probability |
| 81 | Niger | 20.2 % probability |
| 82 | Timor-Leste | 20.1 % probability |
| 83 | Vietnam | 20.1 % probability |
| 84 | Rwanda | 20 % probability |
| 85 | Bolivia | 19.9 % probability |
| 86 | Malaysia | 19.9 % probability |
| 87 | Lithuania | 19.8 % probability |
| 88 | Libya | 19.8 % probability |
| 89 | North Macedonia | 19.6 % probability |
| 90 | São Tomé and Príncipe | 19.5 % probability |
| 91 | Nepal | 19.4 % probability |
| 92 | Botswana | 19 % probability |
| 93 | Kyrgyzstan | 18.8 % probability |
| 94 | Tanzania | 18.8 % probability |
| 95 | Mauritania | 18.7 % probability |
| 96 | Suriname | 18.7 % probability |
| 97 | Venezuela | 18.7 % probability |
| 98 | Palestine | 18.3 % probability |
| 99 | Bangladesh | 18.1 % probability |
| 100 | Gabon | 18.1 % probability |
| 101 | Tajikistan | 18.1 % probability |
| 102 | Kenya | 18 % probability |
| 103 | Montenegro | 18 % probability |
| 104 | Honduras | 17.8 % probability |
| 105 | Nigeria | 17.7 % probability |
| 106 | Cuba | 17.6 % probability |
| 107 | Azerbaijan | 17.4 % probability |
| 108 | Dominican Republic | 17.4 % probability |
| 109 | Uruguay | 17.4 % probability |
| 110 | Bosnia and Herzegovina | 17.2 % probability |
| 111 | Cape Verde | 17.2 % probability |
| 112 | Grenada | 17.1 % probability |
| 113 | Poland | 17 % probability |
| 114 | Ethiopia | 16.8 % probability |
| 115 | Slovakia | 16.6 % probability |
| 116 | Mexico | 16.3 % probability |
| 117 | Paraguay | 16.1 % probability |
| 118 | Bhutan | 15.9 % probability |
| 119 | China | 15.9 % probability |
| 120 | Croatia | 15.9 % probability |
| 121 | Seychelles | 15.6 % probability |
| 122 | Estonia | 15.5 % probability |
| 123 | Saint Lucia | 15.5 % probability |
| 124 | Belize | 15.4 % probability |
| 125 | Turkey | 15.4 % probability |
| 126 | Brunei | 14.9 % probability |
| 127 | Bahrain | 14.8 % probability |
| 128 | Guatemala | 14.6 % probability |
| 129 | Oman | 14.6 % probability |
| 130 | Brazil | 14.5 % probability |
| 131 | Thailand | 14.5 % probability |
| 132 | Czechia | 14.2 % probability |
| 133 | Barbados | 14 % probability |
| 134 | Iran | 13.9 % probability |
| 135 | Sri Lanka | 13.9 % probability |
| 136 | United States | 13.7 % probability |
| 137 | Saudi Arabia | 13.6 % probability |
| 138 | Argentina | 13.4 % probability |
| 139 | Algeria | 13.3 % probability |
| 140 | Ecuador | 13.2 % probability |
| 141 | Tunisia | 13 % probability |
| 142 | Nicaragua | 12.6 % probability |
| 143 | El Salvador | 12.6 % probability |
| 144 | Peru | 12.3 % probability |
| 145 | Antigua and Barbuda | 12.1 % probability |
| 146 | Qatar | 12.1 % probability |
| 147 | Greece | 12 % probability |
| 148 | Lebanon | 11.9 % probability |
| 149 | United Arab Emirates | 11.6 % probability |
| 150 | Germany | 11.6 % probability |
| 151 | Jordan | 11.6 % probability |
| 152 | Slovenia | 11.6 % probability |
| 153 | United Kingdom | 11 % probability |
| 154 | Panama | 10.9 % probability |
| 155 | Denmark | 10.7 % probability |
| 156 | Portugal | 10.5 % probability |
| 157 | Colombia | 10.3 % probability |
| 158 | New Zealand | 10.3 % probability |
| 159 | Singapore | 10.3 % probability |
| 160 | France | 10.2 % probability |
| 161 | Puerto Rico | 10.1 % probability |
| 162 | Albania | 10 % probability |
| 163 | Austria | 9.9 % probability |
| 164 | Costa Rica | 9.9 % probability |
| 165 | Netherlands | 9.9 % probability |
| 166 | Malta | 9.8 % probability |
| 167 | Canada | 9.7 % probability |
| 168 | Finland | 9.6 % probability |
| 169 | Ireland | 9.6 % probability |
| 170 | Chile | 9.4 % probability |
| 171 | Spain | 9.3 % probability |
| 172 | Kuwait | 9.3 % probability |
| 173 | Belgium | 9.2 % probability |
| 174 | Italy | 9.1 % probability |
| 175 | Maldives | 9 % probability |
| 176 | Cyprus | 8.5 % probability |
| 177 | Iceland | 8.5 % probability |
| 178 | Australia | 8.3 % probability |
| 179 | Japan | 8 % probability |
| 180 | Sweden | 7.9 % probability |
| 181 | Luxembourg | 7.8 % probability |
| 182 | Norway | 7.8 % probability |
| 183 | Israel | 7.6 % probability |
| 184 | Switzerland | 7.5 % probability |
| 185 | South Korea | 6.9 % probability |
Definition
NCD Mortality (30-70) is the percent probability of an individual dying between their 30th and 70th birthdays from one of the four main non-communicable diseases: cardiovascular disease, cancer, diabetes, or chronic respiratory disease. It serves as a key measure of premature mortality and the effectiveness of health systems in managing chronic conditions.
How it is calculated
This indicator is calculated using life table methods to estimate the risk of death from specific causes within the 30 to 70 age range. It assumes the individual is subject to the age-specific mortality rates observed in a population during a given period. Data is primarily sourced from national civil registration and vital statistics systems.
Interpretation
High values indicate a significant risk of premature death due to lifestyle factors, environmental risks, or inadequate healthcare access. Conversely, low values suggest robust public health interventions, effective screening, and high-quality medical treatment for chronic conditions. A value below 15% is generally considered a target for high-performing health systems.
Frequently Asked Questions
NCD mortality (30-70) measures the probability that a person will die from cardiovascular diseases, cancers, diabetes, or chronic respiratory diseases between age 30 and 70. This metric focuses on premature deaths that are often preventable through public health policies, early detection, and lifestyle changes, reflecting the overall health burden within a country.
According to the latest available data covering 185 countries, Kiribati has the highest NCD mortality rate at 44.1%. This figure indicates that a significant portion of the population faces the risk of premature death from chronic conditions, emphasizing the challenges in managing non-communicable diseases and lifestyle-related health risks within the region.
Based on the latest global rankings, South Korea has the lowest NCD mortality rate at 6.9%. This reflects a very low probability of premature death from major chronic diseases, often attributed to advanced medical infrastructure, high rates of early diagnosis, and effective public health strategies regarding diet, exercise, and tobacco control.
The calculation uses age-specific mortality rates to determine the probability of death within the specified age bracket. It utilizes a life table approach, specifically focusing on deaths attributed to standard disease classification codes for cardiovascular disease, cancer, diabetes, and chronic respiratory disease. This method ensures the figure represents the risk for a hypothetical cohort.
About this data
- Source
- WHO
NCDMORT3070 - Definition
- Probability of dying between ages 30 and 70 from cardiovascular disease, cancer, diabetes, or chronic respiratory disease.
- Coverage
- Data for 185 countries (2021)
- Limitations
- Coverage varies by country and reporting period.