New HIV infections (0-14 years), high estimate in Kenya
Kenya: New HIV infections (0-14 years), high estimate was 35,000 in 2009. ▬ Flat
New HIV infections (0-14 years), high estimate in Kenya, 1990–2009
Source: UNAIDS and the WHO's Report on the Global AIDS Epidemic.
Analysis
Kenya recorded 35,000 for new hiv infections (0-14 years), high estimate in 2009.
Compared with earlier readings it is down 2.8% on the previous year and down 36.4% over ten years.
Over the whole period, new hiv infections (0-14 years), high estimate in Kenya peaked at 57,000 in 1997 and was at its lowest, 23,000, in 1990.
Kenya ranks 5th of 38 countries on this measure, in the top quarter.
New HIV infections (0-14 years), high estimate in Kenya, year by year
| Year | Value | Change |
|---|---|---|
| 1990 | 23,000 | — |
| 1991 | 30,000 | +30.4% |
| 1992 | 36,000 | +20.0% |
| 1993 | 43,000 | +19.4% |
| 1994 | 47,000 | +9.3% |
| 1995 | 51,000 | +8.5% |
| 1996 | 55,000 | +7.8% |
| 1997 | 57,000 | +3.6% |
| 1998 | 57,000 | +0.0% |
| 1999 | 55,000 | -3.5% |
| 2000 | 54,000 | -1.8% |
| 2001 | 51,000 | -5.6% |
| 2002 | 49,000 | -3.9% |
| 2003 | 47,000 | -4.1% |
| 2004 | 45,000 | -4.3% |
| 2005 | 43,000 | -4.4% |
| 2006 | 40,000 | -7.0% |
| 2007 | 39,000 | -2.5% |
| 2008 | 36,000 | -7.7% |
| 2009 | 35,000 | -2.8% |
Kenya compared with similar countries
- Kenya's 35,000 is above the median for Sub-Saharan Africa, which is 4,000, 8.8× the median. (38 countries reporting)
- Kenya's 35,000 is above the median for lower middle income countries, which is 6,500, 5.4× the median. (17 countries reporting)
Biggest year-on-year movements
Years where New HIV infections (0-14 years), high estimate in Kenya changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 1991 | +30.4% | 23,000 | 30,000 |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 45,400 | 23,000 | 57,000 | 10 |
| 2000s | 43,900 | 35,000 | 54,000 | 10 |
Countries ranked near Kenya
More health data for Kenya
- Un projection of annual infant deaths, annual growth rate -1.44 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate 0.6026 % change on previous year (2090)
- Un projection of annual infant deaths 16,059 (2100)
- Neonatal tetanus - number of reported cases, gaps filled 89 (2025)
- Population ages 00-04, female, annual growth rate 1.28 % change on previous year (2025)
- Population ages 00-04, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 00-04, female, per capita 0.0621 units per person (2025)
- Population ages 00-04, male, annual growth rate 1.28 % change on previous year (2025)
- Population ages 00-04, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 00-04, male, per capita 0.063 units per person (2025)
Frequently asked questions
- What is new hiv infections (0-14 years), high estimate in Kenya?
- New hiv infections (0-14 years), high estimate in Kenya was 35,000 in 2009, according to UNAIDS and the WHO's Report on the Global AIDS Epidemic.
- What is the highest new hiv infections (0-14 years), high estimate recorded in Kenya?
- The highest recorded value was 57,000 in 1997.
- What is the lowest new hiv infections (0-14 years), high estimate recorded in Kenya?
- The lowest recorded value was 23,000 in 1990.
- How does Kenya rank for new hiv infections (0-14 years), high estimate?
- Kenya ranks 5th out of 38 countries with data for 2009.
- Is new hiv infections (0-14 years), high estimate rising or falling in Kenya?
- Over the last ten years it is down 36.4%. The long-run trend across the full record is flat.
- Where does this Kenya data come from?
- The figures come from UNAIDS and the WHO's Report on the Global AIDS Epidemic, published as part of New HIV infections (0-14 years), high estimate. Statizoid updates them automatically from the source API.
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About this data
Estimated number of children (0-14 years) newly infected with HIV, high estimate.