ILOSTAT - Labour force survey — Mean weekly hours actually worked per in Georgia
Georgia: ILOSTAT - Labour force survey — Mean weekly hours actually worked per was 36.28 No in 2024. ▼ Falling
ILOSTAT - Labour force survey — Mean weekly hours actually worked per in Georgia, 2017–2024
Source: Food and Agriculture Organization of the United Nations. Measured in No.
Analysis
The most recent figure for ilostat - labour force survey — mean weekly hours actually worked per in Georgia is 36.28 No, measured in 2024.
Compared with earlier readings it is up 7.1% on the previous year and down 15.5% over ten years.
That places Georgia 48th out of 86 countries with data for 2024, putting it in the middle of the range.
ILOSTAT - Labour force survey — Mean weekly hours actually worked per in Georgia, year by year
| Year | No | Change |
|---|---|---|
| 2017 | 42.91 No | — |
| 2018 | 46.95 No | +9.4% |
| 2019 | 44.3 No | -5.6% |
| 2020 | 36.15 No | -18.4% |
| 2021 | 35.24 No | -2.5% |
| 2022 | 38.07 No | +8.0% |
| 2023 | 33.89 No | -11.0% |
| 2024 | 36.28 No | +7.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 44.72 No | 42.91 No | 46.95 No | 3 |
| 2020s | 35.93 No | 33.89 No | 38.07 No | 5 |
Countries ranked near Georgia
More agriculture & rural data for Georgia
- Agriculture, forestry, and fishing, value added (current US$), annual 5.39 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0518 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 502.19 current US$ per person (2025)
- Rural population, annual growth rate 2.97 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.3882 units per person (2025)
- Share of GDP from agriculture 5.2% (2025)
- Agriculture as a share of GDP vs. GDP per capita 5.2% (2025)
- Agricultural raw materials exports 0.7% (2024)
- Agricultural raw materials imports 0.8% (2024)
Frequently asked questions
- What is ilostat - labour force survey — mean weekly hours actually worked per in Georgia?
- Ilostat - labour force survey — mean weekly hours actually worked per in Georgia was 36.28 No in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest ilostat - labour force survey — mean weekly hours actually worked per recorded in Georgia?
- The highest recorded value was 46.95 No in 2018.
- What is the lowest ilostat - labour force survey — mean weekly hours actually worked per recorded in Georgia?
- The lowest recorded value was 33.89 No in 2023.
- How does Georgia rank for ilostat - labour force survey — mean weekly hours actually worked per?
- Georgia ranks 48th out of 86 countries with data for 2024.
- Is ilostat - labour force survey — mean weekly hours actually worked per rising or falling in Georgia?
- Over the last ten years it is down 15.5%. The long-run trend across the full record is falling.
- Where does this Georgia data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of ILOSTAT - Labour force survey — Mean weekly hours actually worked per employee in agriculture — Female — Value. Statizoid updates them automatically from the source API.
Download this data
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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.