FAO Model — Total non-agricultural AFS employment — Value in Congo
Congo: FAO Model — Total non-agricultural AFS employment — Value was 88.48 1000 No in 2023. ▲ Rising
FAO Model — Total non-agricultural AFS employment — Value in Congo, 2000–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 No.
Analysis
The most recent figure for fao model — total non-agricultural afs employment — value in Congo is 88.48 1000 No, measured in 2023. That is the highest value across all 24 years on record.
That represents a change of up 3.2% on the previous year and up 29.1% over ten years.
Over the whole period, fao model — total non-agricultural afs employment — value in Congo peaked at 88.48 1000 No in 2023 and was at its lowest, 38.12 1000 No, in 2000.
That places Congo 106th out of 135 countries with data for 2023, putting it in the bottom quarter.
The long-run direction has been consistently rising across the 24 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 46.81 1000 No | 38.12 1000 No | 58.02 1000 No | 10 |
| 2010s | 70.97 1000 No | 62.32 1000 No | 78.25 1000 No | 10 |
| 2020s | 82.16 1000 No | 75.47 1000 No | 88.48 1000 No | 4 |
Countries ranked near Congo
More agriculture & rural data for Congo
- Agriculture, forestry, and fishing, value added (current US$), annual 11.08 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.1011 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 254.21 current US$ per person (2025)
- Rural population, annual growth rate 1.72 % change on previous year (2025)
- Rural population, per unit of GDP 0.0001 units per US$ of GDP (2025)
- Rural population, per capita 0.3588 units per person (2025)
- Agriculture share gdp 10.11 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 10.11 (2025)
- Agricultural raw materials exports 2.4% (2023)
- Agricultural raw materials imports 1.0% (2023)
Frequently asked questions
- What is fao model — total non-agricultural afs employment — value in Congo?
- Fao model — total non-agricultural afs employment — value in Congo was 88.48 1000 No in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest fao model — total non-agricultural afs employment — value recorded in Congo?
- The highest recorded value was 88.48 1000 No in 2023.
- What is the lowest fao model — total non-agricultural afs employment — value recorded in Congo?
- The lowest recorded value was 38.12 1000 No in 2000.
- How does Congo rank for fao model — total non-agricultural afs employment — value?
- Congo ranks 106th out of 135 countries with data for 2023.
- Is fao model — total non-agricultural afs employment — value rising or falling in Congo?
- Over the last ten years it is up 29.1%. The long-run trend across the full record is rising.
- Where does this Congo data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of FAO Model — Total non-agricultural AFS employment — Value. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 24 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
The FAOSTAT Employment indicators domain focuses on indicators related to employment in agrifood systems and rural areas. The update is performed yearly, using data from the International Labour Organization (ILO) database that contains a rich set of indicators from a wide range of topics related to labour statistics. The indicators published in FAOSTAT are derived from the labour force statistics (LFS) and rural and urban labour markets (RURURB) databases of the ILOSTAT database. In addition, the ILO modelled estimates and projections (ILOEST) are used to provide information on employment in agriculture. FAOSTAT also publishes indicators on employment in agrifood systems (AFS) from 2000 at the national, regional, and global levels, using a methodology developed by the FAO to estimate the number of people employed within these systems.