Malawi vs Zimbabwe: People living with HIV/AIDS, total
Malawi
830,000 low estimate
in 2009
Zimbabwe
1.10 million low estimate
in 2009
Malawi rank
9th
Zimbabwe rank
6th
People living with HIV/AIDS, total over time
- Malawi
- Zimbabwe
How they compare
Zimbabwe currently reports 1.10 million low estimate against 830,000 low estimate in Malawi, a difference of 270,000 low estimate.
That makes Zimbabwe's figure about 1.3 times Malawi's.
Across all 20 years both countries report, Zimbabwe has been ahead every year.
Malawi ranks 9th and Zimbabwe ranks 6th of 48 countries.
Zimbabwe has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Malawi | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 520,000 low estimate | 1.19 million low estimate | 671,000 low estimate | Zimbabwe |
| 2000s | 791,000 low estimate | 1.34 million low estimate | 549,000 low estimate | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher people living with hiv/aids, total, Malawi or Zimbabwe?
- Zimbabwe, at 1.10 million low estimate against 830,000 low estimate in Malawi as of 2009.
- What is the difference in people living with hiv/aids, total between Malawi and Zimbabwe?
- 270,000 low estimate, with Zimbabwe ahead.
- How many years of comparable data are there for Malawi and Zimbabwe?
- 20 years are reported by both, from 1990 to 2009.
- How do Malawi and Zimbabwe rank globally for people living with hiv/aids, total?
- Malawi ranks 9th and Zimbabwe ranks 6th of 48 countries.
- Where does this data come from?
- UNAIDS and the WHO's Report on the Global AIDS Epidemic, published as People living with HIV/AIDS, total (low estimate). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Estimated total number of people with HIV/AIDS is the number of people living with HIV. Depending on the reliability of the data available, there may be more or less uncertainty surrounding each estimate.