FAO Model — Share of females in total AFS employment — Female — Value in Net Food Importing Developing Countries (NFIDCs)
Net Food Importing Developing Countries (NFIDCs): FAO Model — Share of females in total AFS employment — Female — Value was 44.16 % in 2023. ▲ Rising
FAO Model — Share of females in total AFS employment — Female — Value in Net Food Importing Developing Countries (NFIDCs), 2000–2023
Source: Food and Agriculture Organization of the United Nations. Measured in %.
Analysis
The most recent figure for fao model — share of females in total afs employment — female — value in Net Food Importing Developing Countries (NFIDCs) is 44.16 %, measured in 2023. That is the highest value across all 24 years on record.
That represents a change of up 1.3% on the previous year and up 5.8% over ten years.
Over the whole period, fao model — share of females in total afs employment — female — value in Net Food Importing Developing Countries (NFIDCs) peaked at 44.16 % in 2023 and was at its lowest, 38.55 %, in 2000.
Net Food Importing Developing Countries (NFIDCs) ranks 11th of 31 groups on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 24 years of available data.
FAO Model — Share of females in total AFS employment — Female — Value in Net Food Importing Developing Countries (NFIDCs), year by year
| Year | % | Change |
|---|---|---|
| 2000 | 38.55 % | — |
| 2001 | 38.78 % | +0.6% |
| 2002 | 38.88 % | +0.3% |
| 2003 | 39.32 % | +1.1% |
| 2004 | 39.33 % | +0.0% |
| 2005 | 39.96 % | +1.6% |
| 2006 | 39.45 % | -1.3% |
| 2007 | 40.15 % | +1.8% |
| 2008 | 40.35 % | +0.5% |
| 2009 | 40.76 % | +1.0% |
| 2010 | 41.36 % | +1.5% |
| 2011 | 41.24 % | -0.3% |
| 2012 | 41.3 % | +0.1% |
| 2013 | 41.72 % | +1.0% |
| 2014 | 42.12 % | +1.0% |
| 2015 | 42.35 % | +0.5% |
| 2016 | 42.43 % | +0.2% |
| 2017 | 42.43 % | +0.0% |
| 2018 | 42.2 % | -0.5% |
| 2019 | 42.71 % | +1.2% |
| 2020 | 42.82 % | +0.3% |
| 2021 | 43.34 % | +1.2% |
| 2022 | 43.59 % | +0.6% |
| 2023 | 44.16 % | +1.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 39.55 % | 38.55 % | 40.76 % | 10 |
| 2010s | 41.99 % | 41.24 % | 42.71 % | 10 |
| 2020s | 43.48 % | 42.82 % | 44.16 % | 4 |
Countries ranked near Net Food Importing Developing Countries (NFIDCs)
- 8 Côte d'Ivoire 47.61 % compare
- 8 Papua New Guinea 55.24 % compare
- 8 Timor-Leste 49.8 % compare
- 9 Lao People's Democratic Republic 48.87 % compare
- 9 Liberia 55.2 % compare
- 10 Togo 55.15 % compare
- 11 Guinea-Bissau 54.94 % compare
- 12 Burundi 54.07 % compare
- 13 Benin 53.44 % compare
- 13 Kenya 53.44 % compare
- 13 Micronesia 39.53 % compare
- 14 Türkiye 35.13 % compare
More agriculture & rural data for Net Food Importing Developing Countries (NFIDCs)
- Fruit Primary — Yield, annual growth rate 0.6753 % change on previous year (2024)
- Cereals, primary — Production, annual growth rate 3.24 % change on previous year (2024)
- Citrus Fruit, Total — Area harvested, annual growth rate 3.47 % change on previous year (2024)
- Citrus Fruit, Total — Yield, annual growth rate 2.03 % change on previous year (2024)
- Citrus Fruit, Total — Production, annual growth rate 5.57 % change on previous year (2024)
- Eggs Primary — Yield/Carcass Weight, annual growth rate 0.8631 % change on previous year (2024)
- Eggs Primary — Production, annual growth rate 2.86 % change on previous year (2024)
- Eggs Primary — Laying, annual growth rate 1.97 % change on previous year (2024)
- Fruit Primary — Area harvested, annual growth rate 1.76 % change on previous year (2024)
- Milk, Total — Yield/Carcass Weight, annual growth rate 2.74 % change on previous year (2024)
All data for Net Food Importing Developing Countries (NFIDCs) →
Frequently asked questions
- What is fao model — share of females in total afs employment — female — value in Net Food Importing Developing Countries (NFIDCs)?
- Fao model — share of females in total afs employment — female — value in Net Food Importing Developing Countries (NFIDCs) was 44.16 % in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest fao model — share of females in total afs employment — female — value recorded in Net Food Importing Developing Countries (NFIDCs)?
- The highest recorded value was 44.16 % in 2023.
- What is the lowest fao model — share of females in total afs employment — female — value recorded in Net Food Importing Developing Countries (NFIDCs)?
- The lowest recorded value was 38.55 % in 2000.
- How does Net Food Importing Developing Countries (NFIDCs) rank for fao model — share of females in total afs employment — female — value?
- Net Food Importing Developing Countries (NFIDCs) ranks 11th out of 31 groups with data for 2023.
- Is fao model — share of females in total afs employment — female — value rising or falling in Net Food Importing Developing Countries (NFIDCs)?
- Over the last ten years it is up 5.8%. The long-run trend across the full record is rising.
- Where does this Net Food Importing Developing Countries (NFIDCs) data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of FAO Model — Share of females in total AFS employment — Female — 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.