Central Africa Record

Central Africa

How agriculture’s share of employment changed in Central Africa

In the ILO’s estimates, agriculture’s share of employment fell by 22 percentage points in Cameroon between 2000 and 2025. The share in the Central African Republic was close to 66% in both years.

Sources checked

2000 and 2025Agriculture share of employment by country

2000

Shared scale · 0% to 80.76%

  • Cameroon64.07%
  • Central African Republic65.59%
  • Chad80.76%
  • Gabon39.65%
  • DR Congo67.01%
  • Republic of the Congo42.28%

Both years show the percentage of employed people working in agriculture and related activities.

Source 1

Agriculture share of employment, 2000 to 2025

Shared scale from zero to 100.00 %. A gap marks a year without an observation.

Cameroon

Cameroon · %2000: 64.07 · 2001: 63.74 · 2002: 63.34 · 2003: 62.66 · 2004: 61.71 · 2005: 60.83 · 2006: 60.33 · 2007: 59.83 · 2008: 58.25 · 2009: 56.68 · 2010: 55.10 · 2011: 53.29 · 2012: 51.42 · 2013: 49.48 · 2014: 47.61 · 2015: 46.65 · 2016: 45.70 · 2017: 44.81 · 2018: 43.89 · 2019: 43.05 · 2020: 44.03 · 2021: 43.83 · 2022: 43.33 · 2023: 42.90 · 2024: 42.37 · 2025: 41.85

20002025

41.85 % · 2025

Central African Republic

Central African Republic · %2000: 65.59 · 2001: 65.43 · 2002: 65.28 · 2003: 66.47 · 2004: 65.98 · 2005: 66.14 · 2006: 65.84 · 2007: 65.54 · 2008: 65.59 · 2009: 64.42 · 2010: 63.65 · 2011: 63.31 · 2012: 62.65 · 2013: 65.63 · 2014: 65.58 · 2015: 64.92 · 2016: 64.54 · 2017: 64.15 · 2018: 63.94 · 2019: 63.62 · 2020: 65.42 · 2021: 66.12 · 2022: 66.03 · 2023: 65.87 · 2024: 66.05 · 2025: 66.06

20002025

66.06 % · 2025

Chad

Chad · %2000: 80.76 · 2001: 80.26 · 2002: 79.77 · 2003: 79.30 · 2004: 78.89 · 2005: 78.31 · 2006: 77.93 · 2007: 77.43 · 2008: 76.97 · 2009: 76.18 · 2010: 75.69 · 2011: 75.22 · 2012: 74.52 · 2013: 73.66 · 2014: 73.00 · 2015: 72.38 · 2016: 71.85 · 2017: 71.13 · 2018: 70.39 · 2019: 70.20 · 2020: 71.67 · 2021: 72.11 · 2022: 72.20 · 2023: 71.93 · 2024: 71.87 · 2025: 71.74

20002025

71.74 % · 2025

Gabon

Gabon · %2000: 39.65 · 2001: 39.39 · 2002: 39.37 · 2003: 39.10 · 2004: 38.87 · 2005: 38.41 · 2006: 38.55 · 2007: 37.77 · 2008: 37.76 · 2009: 37.59 · 2010: 36.34 · 2011: 35.13 · 2012: 34.17 · 2013: 33.18 · 2014: 32.40 · 2015: 31.74 · 2016: 31.26 · 2017: 30.88 · 2018: 30.48 · 2019: 30.00 · 2020: 30.25 · 2021: 29.65 · 2022: 29.44 · 2023: 29.32 · 2024: 29.08 · 2025: 28.87

20002025

28.87 % · 2025

DR Congo

DR Congo · %2000: 67.01 · 2001: 67.81 · 2002: 67.40 · 2003: 66.91 · 2004: 66.30 · 2005: 65.69 · 2006: 65.29 · 2007: 64.84 · 2008: 64.39 · 2009: 64.47 · 2010: 63.70 · 2011: 63.13 · 2012: 62.64 · 2013: 61.82 · 2014: 60.86 · 2015: 60.18 · 2016: 60.31 · 2017: 60.24 · 2018: 59.68 · 2019: 59.36 · 2020: 60.93 · 2021: 61.41 · 2022: 60.38 · 2023: 59.52 · 2024: 58.90 · 2025: 58.52

20002025

58.52 % · 2025

Republic of the Congo

Republic of the Congo · %2000: 42.28 · 2001: 41.75 · 2002: 41.23 · 2003: 40.99 · 2004: 40.62 · 2005: 39.97 · 2006: 38.80 · 2007: 39.26 · 2008: 38.63 · 2009: 37.44 · 2010: 36.47 · 2011: 36.14 · 2012: 35.01 · 2013: 35.07 · 2014: 34.30 · 2015: 34.23 · 2016: 35.06 · 2017: 35.93 · 2018: 36.38 · 2019: 36.21 · 2020: 37.43 · 2021: 37.51 · 2022: 37.31 · 2023: 37.10 · 2024: 36.76 · 2025: 36.35

20002025

36.35 % · 2025

ILO modelled employment by sector via World Bank WDI

Cameroon recorded a long decline

Cameroon’s estimated share fell from 64.07% in 2000 to 55.10% in 2010 and 41.85% in 2025. Gabon also recorded a lower share in 2025, at 28.87% versus 39.65% in 2000. Source 1

Chad and DR Congo saw smaller falls

Chad moved from 80.76% to 71.74% between 2000 and 2025. DR Congo moved from 67.01% to 58.52%. In both countries, the 2020 estimate was higher than the 2019 estimate, within a longer downward pattern. Source 1

A share can fall while employment grows

If employment grows faster in services or industry than in agriculture, agriculture’s share falls even if the number of agricultural workers rises. For changes in headcounts, use total employment and sector counts for the same year. Source 2

Some observations rely on modelling

The ILO combines national data with statistical modelling and may impute missing observations. For a decision about a specific labour market, pair the long series with the country’s survey records and their sector definitions. Source 2

Sources

Open the data and source notes