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

Mali: ILOSTAT - Labour force survey — Employment in forestry and logging was 30.56 1000 No in 2023. ▲ Rising

Latest (2023)
30.56 1000 No
Change on year
up 5.1%
World rank
25th
of 76 countries
All-time high
36.41 1000 No
in 2015
All-time low
13.1 1000 No
in 2014
Years of data
9
2013–2023

ILOSTAT - Labour force survey — Employment in forestry and logging in Mali, 2013–2023

0102030402013201820232013: 17.2 1000 No2014: 13.1 1000 No2015: 36.4 1000 No2016: 15.9 1000 No2017: 27.5 1000 No2018: 21.7 1000 No2020: 30.2 1000 No2022: 29.1 1000 No2023: 30.6 1000 No

Source: Food and Agriculture Organization of the United Nations. Measured in 1000 No.

Analysis

In 2023, ilostat - labour force survey — employment in forestry and logging in Mali stood at 30.56 1000 No.

That represents a change of up 5.1% on the previous year and up 77.7% over ten years.

Over the whole period, ilostat - labour force survey — employment in forestry and logging in Mali peaked at 36.41 1000 No in 2015 and was at its lowest, 13.1 1000 No, in 2014.

That places Mali 25th out of 76 countries with data for 2023, putting it in the middle of the range.

Averages by decade

DecadeAverage LowestHighest Years
2010s 21.96 1000 No 13.1 1000 No 36.41 1000 No 6
2020s 29.94 1000 No 29.07 1000 No 30.56 1000 No 3

Countries ranked near Mali

  1. 22 Guatemala 32.23 1000 No compare
  2. 23 Colombia 31.7 1000 No compare
  3. 24 Italy 31.42 1000 No compare
  4. 26 Finland 25.36 1000 No compare
  5. 27 United Kingdom of Great Britain and Northern Ireland 24.73 1000 No compare
  6. 28 Bolivia (Plurinational State of) 22.4 1000 No compare

See the full ranking of 78 places →

More environment data for Mali

All data for Mali →

Frequently asked questions

What is ilostat - labour force survey — employment in forestry and logging in Mali?
Ilostat - labour force survey — employment in forestry and logging in Mali was 30.56 1000 No in 2023, 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 Mali?
The highest recorded value was 36.41 1000 No in 2015.
What is the lowest ilostat - labour force survey — employment in forestry and logging recorded in Mali?
The lowest recorded value was 13.1 1000 No in 2014.
How does Mali rank for ilostat - labour force survey — employment in forestry and logging?
Mali ranks 25th out of 76 countries with data for 2023.
Is ilostat - labour force survey — employment in forestry and logging rising or falling in Mali?
Over the last ten years it is up 77.7%. The long-run trend across the full record is rising.
Where does this Mali 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 — 9 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.