Diphtheria - number of reported cases, gaps filled by country
Diphtheria - number of reported cases with 613 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.
Countries reporting
176
Highest
15,273
Nigeria
Lowest
0
Zimbabwe
Median
0
Years covered
52
1974–2025
Data points
9,846
What the numbers show
Diphtheria - number of reported cases, gaps filled is currently reported for 176 countries. The highest value is 15,273 in Nigeria; the lowest is 0 in Zimbabwe.
The median across all reporting countries is 0, and the mean is 172.81.
Over the past decade 23 countries rose and 24 fell. The largest increase was in Somalia (up 51,642.9%), and the largest decrease in Angola (down 100.0%).
Diphtheria - number of reported cases, gaps filled: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Nigeria | 15,273 | 2025 | — | volatile |
| 2 | Somalia | 3,622 | 2025 | up 51,642.9% | volatile |
| 3 | India | 3,249 | 2025 | up 37.4% | volatile |
| 4 | Niger | 1,592 | 2025 | — | volatile |
| 5 | Yemen | 1,447 | 2025 | up 7,721.6% | volatile |
| 6 | Mauritania | 1,273 | 2025 | — | volatile |
| 7 | Algeria | 775 | 2025 | — | volatile |
| 8 | Mali | 712 | 2025 | — | volatile |
| 9 | Pakistan | 562 | 2025 | up 6,144.4% | volatile |
| 10 | South Africa | 314 | 2025 | up 1,993.3% | volatile |
| 11 | Indonesia | 254 | 2025 | down 34.2% | volatile |
| 12 | Sudan | 186 | 2025 | up 3,281.8% | volatile |
| 13 | Philippines | 117 | 2025 | up 1,200.0% | volatile |
| 14 | Madagascar | 107 | 2025 | down 93.4% | volatile |
| 14 | Myanmar | 107 | 2025 | up 23.0% | volatile |
| 16 | South Sudan | 85 | 2023 | — | volatile |
| 17 | Guinea | 72 | 2025 | — | volatile |
| 18 | Nepal | 70 | 2024 | down 93.5% | volatile |
| 19 | Central African Republic | 66 | 2025 | — | volatile |
| 20 | Haiti | 62 | 2025 | up 93.8% | volatile |
| 21 | Democratic Republic of Congo | 61 | 2025 | — | volatile |
| 22 | Thailand | 60 | 2025 | up 215.8% | volatile |
| 23 | Germany | 53 | 2025 | up 278.6% | volatile |
| 24 | France | 44 | 2025 | up 214.3% | volatile |
| 25 | Kenya | 27 | 2024 | — | volatile |
| 26 | Australia | 26 | 2025 | up 1,200.0% | volatile |
| 27 | Switzerland | 24 | 2025 | — | volatile |
| 28 | Malaysia | 21 | 2025 | up 425.0% | volatile |
| 29 | Belgium | 18 | 2025 | up 800.0% | volatile |
| 30 | United Kingdom | 15 | 2025 | up 1,400.0% | volatile |
| 31 | Eswatini | 11 | 2024 | — | volatile |
| 32 | Czechia | 10 | 2025 | — | volatile |
| 32 | Gabon | 10 | 2024 | — | volatile |
| 32 | Uganda | 10 | 2025 | — | volatile |
| 35 | Iraq | 8 | 2025 | up 300.0% | volatile |
| 36 | Netherlands | 7 | 2025 | up 40.0% | volatile |
| 37 | Slovakia | 6 | 2025 | — | volatile |
| 38 | Afghanistan | 5 | 2025 | — | volatile |
| 38 | Canada | 5 | 2025 | up 66.7% | volatile |
| 38 | Namibia | 5 | 2024 | — | volatile |
| 41 | Brazil | 4 | 2025 | down 66.7% | volatile |
| 41 | New Zealand | 4 | 2025 | up 100.0% | volatile |
| 41 | Chad | 4 | 2025 | — | volatile |
| 44 | Austria | 3 | 2025 | — | volatile |
| 44 | Spain | 3 | 2025 | up 200.0% | volatile |
| 44 | Cambodia | 3 | 2025 | — | volatile |
| 44 | Poland | 3 | 2025 | — | volatile |
| 44 | Sweden | 3 | 2025 | up 200.0% | volatile |
| 44 | Vietnam | 3 | 2025 | down 80.0% | volatile |
| 50 | Burkina Faso | 2 | 2025 | — | volatile |
| 50 | Italy | 2 | 2025 | up 100.0% | volatile |
| 50 | Luxembourg | 2 | 2025 | — | volatile |
| 50 | Norway | 2 | 2025 | unchanged | volatile |
| 54 | Greece | 1 | 2025 | — | volatile |
| 54 | Guyana | 1 | 2025 | — | volatile |
| 54 | Lithuania | 1 | 2025 | — | volatile |
| 54 | Latvia | 1 | 2025 | down 90.0% | volatile |
| 54 | Slovenia | 1 | 2025 | — | volatile |
| 54 | United States | 1 | 2023 | — | volatile |
| 60 | Angola | 0 | 2025 | down 100.0% | volatile |
| 60 | Albania | 0 | 2025 | — | volatile |
| 60 | United Arab Emirates | 0 | 2025 | — | volatile |
| 60 | Argentina | 0 | 2025 | — | volatile |
| 60 | Armenia | 0 | 2025 | — | volatile |
| 60 | Azerbaijan | 0 | 2025 | — | volatile |
| 60 | Burundi | 0 | 2011 | — | volatile |
| 60 | Benin | 0 | 2025 | — | volatile |
| 60 | Bangladesh | 0 | 2025 | down 100.0% | volatile |
| 60 | Bulgaria | 0 | 2025 | — | volatile |
| 60 | Bahrain | 0 | 2025 | — | volatile |
| 60 | Bahamas | 0 | 2025 | — | volatile |
| 60 | Belarus | 0 | 2025 | — | volatile |
| 60 | Belize | 0 | 2025 | — | volatile |
| 60 | Bermuda | 0 | 2025 | — | volatile |
| 60 | Bolivia | 0 | 2025 | — | volatile |
| 60 | Barbados | 0 | 2025 | — | volatile |
| 60 | Brunei | 0 | 2025 | — | volatile |
| 60 | Bhutan | 0 | 2025 | — | volatile |
| 60 | Botswana | 0 | 2025 | — | volatile |
| 60 | Chile | 0 | 2025 | — | volatile |
| 60 | China | 0 | 2025 | — | volatile |
| 60 | Cote d'Ivoire | 0 | 2025 | — | volatile |
| 60 | Cameroon | 0 | 2025 | — | volatile |
| 60 | Congo | 0 | 2023 | — | volatile |
| 60 | Colombia | 0 | 2025 | — | volatile |
| 60 | Cape Verde | 0 | 2025 | — | volatile |
| 60 | Costa Rica | 0 | 2025 | — | volatile |
| 60 | Cuba | 0 | 2025 | — | volatile |
| 60 | Cyprus | 0 | 2025 | — | volatile |
| 60 | Djibouti | 0 | 2025 | — | volatile |
| 60 | Dominica | 0 | 2025 | — | volatile |
| 60 | Denmark | 0 | 2025 | down 100.0% | volatile |
| 60 | Dominican Republic | 0 | 2025 | down 100.0% | volatile |
| 60 | Ecuador | 0 | 2025 | — | volatile |
| 60 | Egypt | 0 | 2025 | — | volatile |
| 60 | Eritrea | 0 | 2025 | down 100.0% | volatile |
| 60 | Estonia | 0 | 2025 | — | volatile |
| 60 | Ethiopia | 0 | 2025 | down 100.0% | volatile |
| 60 | Finland | 0 | 2025 | down 100.0% | volatile |
| 60 | Georgia | 0 | 2025 | down 100.0% | volatile |
| 60 | Ghana | 0 | 2025 | — | volatile |
| 60 | Gambia | 0 | 2025 | — | volatile |
| 60 | Guinea-Bissau | 0 | 2025 | — | volatile |
| 60 | Equatorial Guinea | 0 | 2024 | — | volatile |
| 60 | Grenada | 0 | 2025 | — | volatile |
| 60 | Guatemala | 0 | 2025 | down 100.0% | volatile |
| 60 | Hong Kong | 0 | 2025 | — | volatile |
| 60 | Honduras | 0 | 2025 | — | volatile |
| 60 | Hungary | 0 | 2025 | — | volatile |
| 60 | Ireland | 0 | 2025 | down 100.0% | volatile |
| 60 | Iran | 0 | 2025 | down 100.0% | volatile |
| 60 | Israel | 0 | 2022 | — | volatile |
| 60 | Jamaica | 0 | 2025 | — | volatile |
| 60 | Jordan | 0 | 2025 | — | volatile |
| 60 | Japan | 0 | 2025 | — | volatile |
| 60 | Kazakhstan | 0 | 2025 | — | volatile |
| 60 | Kyrgyzstan | 0 | 2025 | — | volatile |
| 60 | Kiribati | 0 | 2025 | — | volatile |
| 60 | Saint Kitts and Nevis | 0 | 2025 | — | volatile |
| 60 | South Korea | 0 | 2025 | — | volatile |
| 60 | Kuwait | 0 | 2025 | — | volatile |
| 60 | Laos | 0 | 2025 | down 100.0% | volatile |
| 60 | Lebanon | 0 | 2025 | — | volatile |
| 60 | Libya | 0 | 2025 | — | volatile |
| 60 | Saint Lucia | 0 | 2025 | — | volatile |
| 60 | Sri Lanka | 0 | 2025 | — | volatile |
| 60 | Lesotho | 0 | 2025 | — | volatile |
| 60 | Macao | 0 | 2025 | — | volatile |
| 60 | Morocco | 0 | 2018 | — | volatile |
| 60 | Monaco | 0 | 2024 | — | volatile |
| 60 | Moldova | 0 | 2025 | — | volatile |
| 60 | Mexico | 0 | 2025 | — | volatile |
| 60 | Marshall Islands | 0 | 2025 | — | volatile |
| 60 | Mongolia | 0 | 2025 | — | volatile |
| 60 | Mozambique | 0 | 2019 | — | volatile |
| 60 | Mauritius | 0 | 2025 | — | volatile |
| 60 | Malawi | 0 | 2025 | — | volatile |
| 60 | New Caledonia | 0 | 2024 | — | volatile |
| 60 | Nicaragua | 0 | 2025 | — | volatile |
| 60 | Oman | 0 | 2025 | — | volatile |
| 60 | Panama | 0 | 2025 | — | volatile |
| 60 | Peru | 0 | 2025 | — | volatile |
| 60 | Papua New Guinea | 0 | 2025 | — | volatile |
| 60 | North Korea | 0 | 2022 | — | volatile |
| 60 | Portugal | 0 | 2025 | — | volatile |
| 60 | Paraguay | 0 | 2025 | — | volatile |
| 60 | French Polynesia | 0 | 2024 | — | volatile |
| 60 | Qatar | 0 | 2025 | — | volatile |
| 60 | Romania | 0 | 2025 | — | volatile |
| 60 | Russia | 0 | 2025 | down 100.0% | volatile |
| 60 | Rwanda | 0 | 2023 | — | volatile |
| 60 | Saudi Arabia | 0 | 2025 | down 100.0% | volatile |
| 60 | Senegal | 0 | 2025 | — | volatile |
| 60 | Singapore | 0 | 2024 | down 100.0% | volatile |
| 60 | Sierra Leone | 0 | 2025 | — | volatile |
| 60 | El Salvador | 0 | 2025 | — | volatile |
| 60 | Serbia | 0 | 2025 | — | volatile |
| 60 | Syria | 0 | 2025 | — | volatile |
| 60 | Togo | 0 | 2025 | — | volatile |
| 60 | Tajikistan | 0 | 2022 | — | volatile |
| 60 | Turkmenistan | 0 | 2025 | — | volatile |
| 60 | East Timor | 0 | 2025 | down 100.0% | volatile |
| 60 | Trinidad and Tobago | 0 | 2025 | — | volatile |
| 60 | Tunisia | 0 | 2025 | — | volatile |
| 60 | Turkey | 0 | 2025 | — | volatile |
| 60 | Tuvalu | 0 | 2019 | — | volatile |
| 60 | Tanzania | 0 | 2013 | — | volatile |
| 60 | Ukraine | 0 | 2025 | down 100.0% | volatile |
| 60 | Uruguay | 0 | 2025 | — | volatile |
| 60 | Uzbekistan | 0 | 2025 | — | volatile |
| 60 | Saint Vincent and the Grenadines | 0 | 2025 | — | volatile |
| 60 | Venezuela | 0 | 2025 | — | volatile |
| 60 | Vanuatu | 0 | 2025 | — | volatile |
| 60 | Samoa | 0 | 2025 | — | volatile |
| 60 | Zambia | 0 | 2024 | down 100.0% | volatile |
| 60 | Zimbabwe | 0 | 2025 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 30,206
- Sur 0
- Lower-middle income (World Bank) 20,601
- Africa (WHO region) 20,261
- Low income (World Bank) 7,814
- Eastern Mediterranean (WHO region) 5,830
- South-East Asia (WHO region) 3,416
- Upper-middle income (World Bank) 1,556
- Western Pacific (WHO region) 428
- High income (World Bank) 235
- Europe (WHO region) 199
- Americas (WHO region) 72
How this figure is calculated
Diphtheria - number of reported cases with 613 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.
Computed from
- Diphtheria - number of reported cases World Health Organization, Global Health Observatory
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
Diphtheria - number of reported cases with 613 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.