ILOSTAT - Labour force survey — Employment in forestry and logging in India
India: ILOSTAT - Labour force survey — Employment in forestry and logging was 840.94 1000 No in 2024. ▲ Rising
ILOSTAT - Labour force survey — Employment in forestry and logging in India, 2018–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 No.
Analysis
The most recent figure for ilostat - labour force survey — employment in forestry and logging in India is 840.94 1000 No, measured in 2024.
That represents a change of up 17.2% on the previous year and up 44.3% over ten years.
That places India 1st out of 71 countries with data for 2024, putting it in the top 10%.
ILOSTAT - Labour force survey — Employment in forestry and logging in India, year by year
| Year | 1000 No | Change |
|---|---|---|
| 2018 | 582.86 1000 No | — |
| 2019 | 493.1 1000 No | -15.4% |
| 2020 | 456.54 1000 No | -7.4% |
| 2021 | 696.09 1000 No | +52.5% |
| 2022 | 847.4 1000 No | +21.7% |
| 2023 | 717.81 1000 No | -15.3% |
| 2024 | 840.94 1000 No | +17.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 537.98 1000 No | 493.1 1000 No | 582.86 1000 No | 2 |
| 2020s | 711.76 1000 No | 456.54 1000 No | 847.4 1000 No | 5 |
Countries ranked near India
More environment data for India
- Historical exposure to drought — Land soil moisture anomaly 11.05 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 12.52 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.254 °C (2025)
- Temperature change 0.954 °C (2025)
- Graphic papers — Import quantity, annual growth rate 1.64 % change on previous year (2024)
- Graphic papers — Import quantity, per unit of GDP 0 t per US$ of GDP (2024)
- Graphic papers — Import quantity, per capita 0.0012 t per person (2024)
- Graphic papers — Import value, annual growth rate -5.58 % change on previous year (2024)
- Graphic papers — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
Frequently asked questions
- What is ilostat - labour force survey — employment in forestry and logging in India?
- Ilostat - labour force survey — employment in forestry and logging in India was 840.94 1000 No in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest ilostat - labour force survey — employment in forestry and logging recorded in India?
- The highest recorded value was 847.4 1000 No in 2022.
- What is the lowest ilostat - labour force survey — employment in forestry and logging recorded in India?
- The lowest recorded value was 456.54 1000 No in 2020.
- How does India rank for ilostat - labour force survey — employment in forestry and logging?
- India ranks 1st out of 71 countries with data for 2024.
- Is ilostat - labour force survey — employment in forestry and logging rising or falling in India?
- Over the last ten years it is up 44.3%. The long-run trend across the full record is rising.
- Where does this India data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of ILOSTAT - Labour force survey — Employment in forestry and logging — Male — Value. Statizoid updates them automatically from the source API.
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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.