Correlation between child mortality and mean years … annual in Congo
Congo: Correlation between child mortality and mean years … annual was -2.94 % change on previous year in 2024. ◆ Volatile
Latest (2024)
-2.94 % change on previous year
Change on year
up 1.9%
World rank
107th
of 199 countries
All-time high
9.79 % change on previous year
in 2019
All-time low
-14.81 % change on previous year
in 2020
Years of data
74
1951–2024
Correlation between child mortality and mean years of schooling for in Congo, 1951–2024
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
In 2024, correlation between child mortality and mean years of schooling for in Congo stood at -2.94 % change on previous year.
The figure is up 1.9% on the previous year and up 3.7% over ten years.
Over the whole period, correlation between child mortality and mean years of schooling for in Congo peaked at 9.79 % change on previous year in 2019 and was at its lowest, -14.81 % change on previous year, in 2020.
That places Congo 107th out of 199 countries with data for 2024, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Correlation between child mortality and mean years … annual in Congo, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1951 | -2.61 % change on previous year | — |
| 1952 | -2.69 % change on previous year | +2.7% |
| 1953 | -3.09 % change on previous year | +15.1% |
| 1954 | -3.32 % change on previous year | +7.3% |
| 1955 | -3.58 % change on previous year | +8.0% |
| 1956 | -3.85 % change on previous year | +7.5% |
| 1957 | -4.01 % change on previous year | +4.1% |
| 1958 | -4.13 % change on previous year | +3.0% |
| 1959 | -4.07 % change on previous year | -1.6% |
| 1960 | -3.98 % change on previous year | -2.2% |
| 1961 | -3.76 % change on previous year | -5.4% |
| 1962 | -3.78 % change on previous year | +0.6% |
| 1963 | -3.6 % change on previous year | -4.8% |
| 1964 | -3.59 % change on previous year | -0.4% |
| 1965 | -3.44 % change on previous year | -4.2% |
| 1966 | -3.37 % change on previous year | -1.9% |
| 1967 | -3.37 % change on previous year | -0.2% |
| 1968 | -3.24 % change on previous year | -3.8% |
| 1969 | -3.02 % change on previous year | -6.8% |
| 1970 | -3.01 % change on previous year | -0.2% |
| 1971 | -2.63 % change on previous year | -12.6% |
| 1972 | -2.52 % change on previous year | -4.2% |
| 1973 | -2.44 % change on previous year | -3.5% |
| 1974 | -2.56 % change on previous year | +5.2% |
| 1975 | -2.34 % change on previous year | -8.6% |
| 1976 | -2.28 % change on previous year | -2.7% |
| 1977 | -2.45 % change on previous year | +7.5% |
| 1978 | -2.25 % change on previous year | -8.1% |
| 1979 | -2.27 % change on previous year | +0.9% |
| 1980 | -2.38 % change on previous year | +4.7% |
| 1981 | -2.41 % change on previous year | +1.4% |
| 1982 | -2.36 % change on previous year | -2.4% |
| 1983 | -2.59 % change on previous year | +9.7% |
| 1984 | -2.64 % change on previous year | +2.0% |
| 1985 | -2.22 % change on previous year | -15.6% |
| 1986 | -1.9 % change on previous year | -14.5% |
| 1987 | -1.41 % change on previous year | -25.6% |
| 1988 | -0.9023 % change on previous year | -36.2% |
| 1989 | 0.1011 % change on previous year | -111.2% |
| 1990 | 0.9248 % change on previous year | +814.9% |
| 1991 | 1.69 % change on previous year | +82.2% |
| 1992 | 2.33 % change on previous year | +38.2% |
| 1993 | 2.81 % change on previous year | +20.5% |
| 1994 | 3.28 % change on previous year | +17.0% |
| 1995 | 3.31 % change on previous year | +0.9% |
| 1996 | 3.32 % change on previous year | +0.4% |
| 1997 | 2.78 % change on previous year | -16.3% |
| 1998 | 2.02 % change on previous year | -27.5% |
| 1999 | 0.4408 % change on previous year | -78.1% |
| 2000 | -1.09 % change on previous year | -347.0% |
| 2001 | -2.78 % change on previous year | +155.0% |
| 2002 | -4.31 % change on previous year | +55.4% |
| 2003 | -5.46 % change on previous year | +26.5% |
| 2004 | -6.67 % change on previous year | +22.1% |
| 2005 | -7.14 % change on previous year | +7.1% |
| 2006 | -7.27 % change on previous year | +1.8% |
| 2007 | -7 % change on previous year | -3.7% |
| 2008 | -6.47 % change on previous year | -7.5% |
| 2009 | -5.52 % change on previous year | -14.7% |
| 2010 | -4.53 % change on previous year | -17.9% |
| 2011 | -3.88 % change on previous year | -14.3% |
| 2012 | -3.38 % change on previous year | -13.0% |
| 2013 | -3.01 % change on previous year | -10.9% |
| 2014 | -3.05 % change on previous year | +1.3% |
| 2015 | -3.28 % change on previous year | +7.5% |
| 2016 | -3.25 % change on previous year | -0.9% |
| 2017 | -3.32 % change on previous year | +2.1% |
| 2018 | -3.44 % change on previous year | +3.7% |
| 2019 | 9.79 % change on previous year | -384.6% |
| 2020 | -14.81 % change on previous year | -251.3% |
| 2021 | -3.43 % change on previous year | -76.9% |
| 2022 | -3.36 % change on previous year | -2.1% |
| 2023 | -2.99 % change on previous year | -10.8% |
| 2024 | -2.94 % change on previous year | -1.9% |
Congo compared with similar countries
- Congo's -2.94 % change on previous year is above the median for lower middle income countries, which is -3.11 % change on previous year, 94% of the median. (47 countries reporting)
- Congo's -2.94 % change on previous year is above the median for Sub-Saharan Africa, which is -3.11 % change on previous year, 94% of the median. (48 countries reporting)
Biggest year-on-year movements
Years where Correlation between child mortality and mean years … annual in Congo 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 |
|---|---|---|---|
| 1990 | +814.9% | 0.1011 % change on previous year | 0.9248 % change on previous year |
| 2019 | +384.6% | -3.44 % change on previous year | 9.79 % change on previous year |
| 2000 | -347.0% | 0.4408 % change on previous year | -1.09 % change on previous year |
| 2020 | -251.3% | 9.79 % change on previous year | -14.81 % change on previous year |
| 2001 | -155.0% | -1.09 % change on previous year | -2.78 % change on previous year |
| 1989 | +111.2% | -0.9023 % change on previous year | 0.1011 % change on previous year |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1950s | -3.48 % change on previous year | -4.13 % change on previous year | -2.61 % change on previous year | 9 |
| 1960s | -3.52 % change on previous year | -3.98 % change on previous year | -3.02 % change on previous year | 10 |
| 1970s | -2.48 % change on previous year | -3.01 % change on previous year | -2.25 % change on previous year | 10 |
| 1980s | -1.87 % change on previous year | -2.64 % change on previous year | 0.1011 % change on previous year | 10 |
| 1990s | 2.29 % change on previous year | 0.4408 % change on previous year | 3.32 % change on previous year | 10 |
| 2000s | -5.37 % change on previous year | -7.27 % change on previous year | -1.09 % change on previous year | 10 |
| 2010s | -2.14 % change on previous year | -4.53 % change on previous year | 9.79 % change on previous year | 10 |
| 2020s | -5.5 % change on previous year | -14.81 % change on previous year | -2.94 % change on previous year | 5 |
Countries ranked near Congo
- 104 Trinidad and Tobago -2.91 % change on previous year compare
- 105 Suriname -2.91 % change on previous year compare
- 106 Micronesia (country) -2.93 % change on previous year compare
- 108 Malta -2.94 % change on previous year compare
- 109 Guinea -2.95 % change on previous year compare
- 110 Peru -2.99 % change on previous year compare
More health data for Congo
- Un projection of annual infant deaths, annual growth rate -0.4813 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate 0.9705 % change on previous year (2090)
- Un projection of annual infant deaths 2,688 (2100)
- Neonatal tetanus - number of reported cases, gaps filled 11 (2025)
- Population ages 00-04, female, annual growth rate 1.44 % 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 0.0695 units per person (2025)
- Population ages 00-04, male, annual growth rate 1.45 % 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 0.0709 units per person (2025)
Frequently asked questions
- What is correlation between child mortality and mean years of schooling for in Congo?
- Correlation between child mortality and mean years of schooling for in Congo was -2.94 % change on previous year in 2024, according to Statizoid (derived).
- What is the highest correlation between child mortality and mean years of schooling for recorded in Congo?
- The highest recorded value was 9.79 % change on previous year in 2019.
- What is the lowest correlation between child mortality and mean years of schooling for recorded in Congo?
- The lowest recorded value was -14.81 % change on previous year in 2020.
- How does Congo rank for correlation between child mortality and mean years of schooling for?
- Congo ranks 107th out of 199 countries with data for 2024.
- Is correlation between child mortality and mean years of schooling for rising or falling in Congo?
- Over the last ten years it is up 3.7%. The long-run trend across the full record is volatile.
- Where does this Congo data come from?
- The figures come from Statizoid (derived), published as part of Correlation between child mortality and mean years of schooling for those aged 15 and older, annual growth rate. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 74 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 Correlation between child mortality and mean years of schooling for those aged 15 and older. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Correlation between child mortality and mean years of schooling for Our World in Data
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 Correlation between child mortality and mean years of schooling for those aged 15 and older. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.