ILOSTAT - Labour force survey — Employment in forestry and logging in Zimbabwe

Zimbabwe: ILOSTAT - Labour force survey — Employment in forestry and logging was 14.06 1000 No in 2024. ▼ Falling

Latest (2024)
14.06 1000 No
Change on year
up 179.5%
World rank
38th
of 76 countries
All-time high
18 1000 No
in 2019
All-time low
5.03 1000 No
in 2023
Years of data
6
2011–2024

ILOSTAT - Labour force survey — Employment in forestry and logging in Zimbabwe, 2011–2024

51015202011201720242011: 11.3 1000 No2019: 18 1000 No2021: 11.9 1000 No2022: 5.4 1000 No2023: 5 1000 No2024: 14.1 1000 No

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 Zimbabwe is 14.06 1000 No, measured in 2024.

That represents a change of up 179.5% on the previous year and up 24.0% over ten years.

Over the whole period, ilostat - labour force survey — employment in forestry and logging in Zimbabwe peaked at 18 1000 No in 2019 and was at its lowest, 5.03 1000 No, in 2023.

That places Zimbabwe 38th out of 76 countries with data for 2024, putting it in the middle of the range.

Averages by decade

DecadeAverage LowestHighest Years
2010s 14.67 1000 No 11.34 1000 No 18 1000 No 2
2020s 9.1 1000 No 5.03 1000 No 14.06 1000 No 4

Countries ranked near Zimbabwe

  1. 35 Slovakia 15.49 1000 No compare
  2. 36 Iran (Islamic Republic of) 14.3 1000 No compare
  3. 37 Austria 14.23 1000 No compare
  4. 39 Uruguay 13.55 1000 No compare
  5. 40 Angola 12.72 1000 No compare
  6. 41 Croatia 12.54 1000 No compare

See the full ranking of 78 places →

More environment data for Zimbabwe

All data for Zimbabwe →

Frequently asked questions

What is ilostat - labour force survey — employment in forestry and logging in Zimbabwe?
Ilostat - labour force survey — employment in forestry and logging in Zimbabwe was 14.06 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 Zimbabwe?
The highest recorded value was 18 1000 No in 2019.
What is the lowest ilostat - labour force survey — employment in forestry and logging recorded in Zimbabwe?
The lowest recorded value was 5.03 1000 No in 2023.
How does Zimbabwe rank for ilostat - labour force survey — employment in forestry and logging?
Zimbabwe ranks 38th out of 76 countries with data for 2024.
Is ilostat - labour force survey — employment in forestry and logging rising or falling in Zimbabwe?
Over the last ten years it is up 24.0%. The long-run trend across the full record is falling.
Where does this Zimbabwe 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 — Value. Statizoid updates them automatically from the source API.

Download this data

CSV · JSON — 6 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).

About this data

Indicator
ILOSTAT - Labour force survey — Employment in forestry and logging — Value
Unit
1000 No
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
78 places, 1,365 data points, 1992–2025
Last refreshed

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.