Neonatal deaths (UN IGME estimate, 2024), annual growth rate in Sub-Saharan Africa
Sub-Saharan Africa: Neonatal deaths (UN IGME estimate, 2024), annual growth rate was -0.08 % change on previous year in 2024. ◆ Volatile
Neonatal deaths (UN IGME estimate, 2024), annual growth rate in Sub-Saharan Africa, 1991–2024
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
The most recent figure for neonatal deaths (un igme estimate, 2024), annual growth rate in Sub-Saharan Africa is -0.08 % change on previous year, measured in 2024.
Compared with earlier readings it is down 295.6% on the previous year and down 122.7% over ten years.
Over the whole period, neonatal deaths (un igme estimate, 2024), annual growth rate in Sub-Saharan Africa peaked at 1.32 % change on previous year in 1995 and was at its lowest, -0.5758 % change on previous year, in 2002.
That places Sub-Saharan Africa 8th out of 34 groups with data for 2024, putting it in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Neonatal deaths (UN IGME estimate, 2024), annual growth rate in Sub-Saharan Africa, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1991 | 1.06 % change on previous year | — |
| 1992 | 1.17 % change on previous year | +10.7% |
| 1993 | 1.21 % change on previous year | +3.8% |
| 1994 | 0.7704 % change on previous year | -36.5% |
| 1995 | 1.32 % change on previous year | +71.4% |
| 1996 | 1.02 % change on previous year | -22.4% |
| 1997 | 0.3058 % change on previous year | -70.1% |
| 1998 | 0.1331 % change on previous year | -56.5% |
| 1999 | 0.1491 % change on previous year | +12.0% |
| 2000 | -0.0457 % change on previous year | -130.7% |
| 2001 | -0.2808 % change on previous year | +514.0% |
| 2002 | -0.5758 % change on previous year | +105.0% |
| 2003 | -0.4606 % change on previous year | -20.0% |
| 2004 | -0.1918 % change on previous year | -58.4% |
| 2005 | -0.0383 % change on previous year | -80.1% |
| 2006 | -0.0638 % change on previous year | +66.7% |
| 2007 | -0.0511 % change on previous year | -19.9% |
| 2008 | 0.2317 % change on previous year | -553.8% |
| 2009 | 0.1119 % change on previous year | -51.7% |
| 2010 | -0.0245 % change on previous year | -121.9% |
| 2011 | 0.131 % change on previous year | -633.5% |
| 2012 | -0.3842 % change on previous year | -393.4% |
| 2013 | -0.1203 % change on previous year | -68.7% |
| 2014 | 0.3532 % change on previous year | -393.5% |
| 2015 | 0.1355 % change on previous year | -61.6% |
| 2016 | 0.0954 % change on previous year | -29.6% |
| 2017 | 0.2505 % change on previous year | +162.6% |
| 2018 | 0.1068 % change on previous year | -57.4% |
| 2019 | 0.2333 % change on previous year | +118.4% |
| 2020 | 0.1083 % change on previous year | -53.6% |
| 2021 | 0.7894 % change on previous year | +629.2% |
| 2022 | 0.5275 % change on previous year | -33.2% |
| 2023 | 0.0409 % change on previous year | -92.2% |
| 2024 | -0.08 % change on previous year | -295.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 0.7936 % change on previous year | 0.1331 % change on previous year | 1.32 % change on previous year | 9 |
| 2000s | -0.1364 % change on previous year | -0.5758 % change on previous year | 0.2317 % change on previous year | 10 |
| 2010s | 0.0777 % change on previous year | -0.3842 % change on previous year | 0.3532 % change on previous year | 10 |
| 2020s | 0.2772 % change on previous year | -0.08 % change on previous year | 0.7894 % change on previous year | 5 |
Countries ranked near Sub-Saharan Africa
- 5 Singapore 6 % change on previous year compare
- 6 Romania 5.64 % change on previous year compare
- 7 Chad 5.18 % change on previous year compare
- 8 Denmark 4.64 % change on previous year compare
- 9 Norway 4.17 % change on previous year compare
- 10 United States of America 2.72 % change on previous year compare
- 11 Japan 2.68 % change on previous year compare
More health data for Sub-Saharan Africa
- Population ages 15-64, male, per capita 0.2801 units per person (2025)
- Population ages 15-64, female, per unit of GDP 0.0002 units per US$ of GDP (2025)
- Population ages 15-64, female, per capita 0.2837 units per person (2025)
- Population ages 15-64, male, annual growth rate 3.04 % change on previous year (2025)
- Population ages 50-54, female, annual growth rate 3.38 % change on previous year (2025)
- Population ages 15-64, male, per unit of GDP 0.0002 units per US$ of GDP (2025)
- Population ages 45-49, male, per capita 0.0189 units per person (2025)
- Population ages 15-64, total, per capita 0.5639 units per person (2025)
- Population ages 15-64, total, per unit of GDP 0.0003 units per US$ of GDP (2025)
- Population ages 15-64, female, annual growth rate 2.96 % change on previous year (2025)
Frequently asked questions
- What is neonatal deaths (un igme estimate, 2024), annual growth rate in Sub-Saharan Africa?
- Neonatal deaths (un igme estimate, 2024), annual growth rate in Sub-Saharan Africa was -0.08 % change on previous year in 2024, according to Statizoid (derived).
- What is the highest neonatal deaths (un igme estimate, 2024), annual growth rate recorded in Sub-Saharan Africa?
- The highest recorded value was 1.32 % change on previous year in 1995.
- What is the lowest neonatal deaths (un igme estimate, 2024), annual growth rate recorded in Sub-Saharan Africa?
- The lowest recorded value was -0.5758 % change on previous year in 2002.
- How does Sub-Saharan Africa rank for neonatal deaths (un igme estimate, 2024), annual growth rate?
- Sub-Saharan Africa ranks 8th out of 34 groups with data for 2024.
- Is neonatal deaths (un igme estimate, 2024), annual growth rate rising or falling in Sub-Saharan Africa?
- Over the last ten years it is down 122.7%. The long-run trend across the full record is volatile.
- Where does this Sub-Saharan Africa data come from?
- The figures come from Statizoid (derived), published as part of Neonatal deaths (UN IGME estimate, 2024), annual growth rate. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 34 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
The year-on-year percentage change in Neonatal deaths (UN IGME estimate, 2024). Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Neonatal deaths UNICEF
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
The year-on-year percentage change in Neonatal deaths (UN IGME estimate, 2024). Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.