Chickens, layers — Stocks, per square kilometre in Cameroon
Cameroon: Chickens, layers — Stocks, per square kilometre was 27.62 An per square kilometre in 2023. ◆ Volatile
Chickens, layers — Stocks, per square kilometre in Cameroon, 1961–2023
Source: Statizoid (derived). Measured in An per square kilometre.
Analysis
Cameroon recorded 27.62 An per square kilometre for chickens, layers — stocks, per square kilometre in 2023.
Compared with earlier readings it is up 3.1% on the previous year and up 56.0% over ten years.
Over the whole period, chickens, layers — stocks, per square kilometre in Cameroon peaked at 28.56 An per square kilometre in 2020 and was at its lowest, 1.53 An per square kilometre, in 1961.
That places Cameroon 110th out of 168 countries with data for 2023, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Chickens, layers — Stocks, per square kilometre in Cameroon, year by year
| Year | An per square kilometre | Change |
|---|---|---|
| 1961 | 1.53 An per square kilometre | — |
| 1962 | 1.59 An per square kilometre | +3.4% |
| 1963 | 1.85 An per square kilometre | +16.7% |
| 1964 | 2.54 An per square kilometre | +37.5% |
| 1965 | 2.64 An per square kilometre | +3.9% |
| 1966 | 3.17 An per square kilometre | +20.0% |
| 1967 | 3.7 An per square kilometre | +16.7% |
| 1968 | 3.97 An per square kilometre | +7.1% |
| 1969 | 4.5 An per square kilometre | +13.3% |
| 1970 | 4.5 An per square kilometre | +0.0% |
| 1971 | 4.5 An per square kilometre | +0.0% |
| 1972 | 4.5 An per square kilometre | +0.0% |
| 1973 | 4.52 An per square kilometre | +0.6% |
| 1974 | 4.55 An per square kilometre | +0.6% |
| 1975 | 4.58 An per square kilometre | +0.6% |
| 1976 | 4.63 An per square kilometre | +1.2% |
| 1977 | 4.76 An per square kilometre | +2.8% |
| 1978 | 5.02 An per square kilometre | +5.6% |
| 1979 | 5.29 An per square kilometre | +5.3% |
| 1980 | 5.55 An per square kilometre | +5.0% |
| 1981 | 5.82 An per square kilometre | +4.8% |
| 1982 | 6.08 An per square kilometre | +4.5% |
| 1983 | 6.61 An per square kilometre | +8.7% |
| 1984 | 5.82 An per square kilometre | -12.0% |
| 1985 | 6.61 An per square kilometre | +13.6% |
| 1986 | 7.27 An per square kilometre | +10.0% |
| 1987 | 7.14 An per square kilometre | -1.8% |
| 1988 | 7.4 An per square kilometre | +3.7% |
| 1989 | 7.67 An per square kilometre | +3.6% |
| 1990 | 7.93 An per square kilometre | +3.4% |
| 1991 | 7.93 An per square kilometre | +0.0% |
| 1992 | 9.57 An per square kilometre | +20.6% |
| 1993 | 9.9 An per square kilometre | +3.4% |
| 1994 | 10.22 An per square kilometre | +3.2% |
| 1995 | 10.53 An per square kilometre | +3.1% |
| 1996 | 10.58 An per square kilometre | +0.4% |
| 1997 | 12.29 An per square kilometre | +16.2% |
| 1998 | 13.12 An per square kilometre | +6.8% |
| 1999 | 12.87 An per square kilometre | -1.9% |
| 2000 | 10.59 An per square kilometre | -17.7% |
| 2001 | 13.17 An per square kilometre | +24.3% |
| 2002 | 13.18 An per square kilometre | +0.1% |
| 2003 | 13.2 An per square kilometre | +0.1% |
| 2004 | 13.21 An per square kilometre | +0.1% |
| 2005 | 14.28 An per square kilometre | +8.1% |
| 2006 | 15.55 An per square kilometre | +8.9% |
| 2007 | 16.18 An per square kilometre | +4.0% |
| 2008 | 16.77 An per square kilometre | +3.7% |
| 2009 | 16.75 An per square kilometre | -0.1% |
| 2010 | 16.83 An per square kilometre | +0.5% |
| 2011 | 17.08 An per square kilometre | +1.5% |
| 2012 | 17.33 An per square kilometre | +1.5% |
| 2013 | 17.7 An per square kilometre | +2.1% |
| 2014 | 18.06 An per square kilometre | +2.1% |
| 2015 | 18.31 An per square kilometre | +1.4% |
| 2016 | 26.44 An per square kilometre | +44.4% |
| 2017 | 21.15 An per square kilometre | -20.0% |
| 2018 | 24.33 An per square kilometre | +15.0% |
| 2019 | 24.33 An per square kilometre | +0.0% |
| 2020 | 28.56 An per square kilometre | +17.4% |
| 2021 | 27.5 An per square kilometre | -3.7% |
| 2022 | 26.8 An per square kilometre | -2.6% |
| 2023 | 27.62 An per square kilometre | +3.1% |
Biggest year-on-year movements
Years where Chickens, layers — Stocks, per square kilometre in Cameroon 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 |
|---|---|---|---|
| 2016 | +44.4% | 18.31 An per square kilometre | 26.44 An per square kilometre |
| 1964 | +37.5% | 1.85 An per square kilometre | 2.54 An per square kilometre |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 2.83 An per square kilometre | 1.53 An per square kilometre | 4.5 An per square kilometre | 9 |
| 1970s | 4.68 An per square kilometre | 4.5 An per square kilometre | 5.29 An per square kilometre | 10 |
| 1980s | 6.6 An per square kilometre | 5.55 An per square kilometre | 7.67 An per square kilometre | 10 |
| 1990s | 10.49 An per square kilometre | 7.93 An per square kilometre | 13.12 An per square kilometre | 10 |
| 2000s | 14.29 An per square kilometre | 10.59 An per square kilometre | 16.77 An per square kilometre | 10 |
| 2010s | 20.16 An per square kilometre | 16.83 An per square kilometre | 26.44 An per square kilometre | 10 |
| 2020s | 27.62 An per square kilometre | 26.8 An per square kilometre | 28.56 An per square kilometre | 4 |
Countries ranked near Cameroon
- 107 South Africa 29.86 An per square kilometre compare
- 108 Kyrgyzstan 28.96 An per square kilometre compare
- 109 Cambodia 28.55 An per square kilometre compare
- 111 Burundi 27.41 An per square kilometre compare
- 112 Samoa 26.62 An per square kilometre compare
- 113 Paraguay 23.68 An per square kilometre compare
More environment data for Cameroon
- Historical exposure to drought — Land soil moisture anomaly -8.11 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -7.68 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.211 °C (2025)
- Temperature change 1.15 °C (2025)
- Wood-based panels — Production, annual growth rate 0 % change on previous year (2024)
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), annual 0.6539 % change on previous year (2024)
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), per unit 0 Mt CO2e per US$ of GDP (2024)
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), per capita 0 Mt CO2e per person (2024)
- Methane (CH4) emissions from Agriculture (Mt CO2e), annual growth rate 0.4385 % change on previous year (2024)
Frequently asked questions
- What is chickens, layers — stocks, per square kilometre in Cameroon?
- Chickens, layers — stocks, per square kilometre in Cameroon was 27.62 An per square kilometre in 2023, according to Statizoid (derived).
- What is the highest chickens, layers — stocks, per square kilometre recorded in Cameroon?
- The highest recorded value was 28.56 An per square kilometre in 2020.
- What is the lowest chickens, layers — stocks, per square kilometre recorded in Cameroon?
- The lowest recorded value was 1.53 An per square kilometre in 1961.
- How does Cameroon rank for chickens, layers — stocks, per square kilometre?
- Cameroon ranks 110th out of 168 countries with data for 2023.
- Is chickens, layers — stocks, per square kilometre rising or falling in Cameroon?
- Over the last ten years it is up 56.0%. The long-run trend across the full record is volatile.
- Where does this Cameroon data come from?
- The figures come from Statizoid (derived), published as part of Chickens, layers — Stocks, per square kilometre. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 63 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
Chickens, layers — Stocks divided by Land area (sq. km), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.
Chickens, layers — Stocks ÷ Land area (sq. km)
Computed from
- Chickens, layers — Stocks Food and Agriculture Organization of the United Nations
- Land area FAOSTAT, Food and Agriculture Organization of the United Nations (FAO)
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
Chickens, layers — Stocks divided by Land area (sq. km), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.