Argentina vs Mali: Informal employment
Informal employment over time
- Argentina
- Mali
How they compare
Argentina currently reports 7,081 against 6,468 in Mali, a difference of 613.
That makes Argentina's figure about 1.1 times Mali's.
The two have swapped places 3 times across 8 shared years of data; in 2013 it was Mali ahead.
Argentina ranks 17th and Mali ranks 18th of 81 countries.
Across the 2 decades both report, Argentina averaged higher in 1 and Mali in 1.
Head to head by decade
| Decade | Argentina | Mali | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 5,460 | 5,475 | 14.52 | Mali |
| 2020s | 6,329 | 6,177 | 152.37 | Argentina |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher informal employment, Argentina or Mali?
- Argentina, at 7,081 against 6,468 in Mali as of 2025.
- What is the difference in informal employment between Argentina and Mali?
- 613, with Argentina ahead.
- How many years of comparable data are there for Argentina and Mali?
- 8 years are reported by both, from 2013 to 2024.
- How do Argentina and Mali rank globally for informal employment?
- Argentina ranks 17th and Mali ranks 18th of 81 countries.
- Where does this data come from?
- International Labour Organization, published as Informal employment (previous ILO definition - ICLS13). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
With the aim of promoting international comparability, statistics presented on ILOSTAT are based on standard international definitions wherever feasible and may differ from official national figures. This series is based on the 13th ICLS definitions. For time series comparability, it includes countries that have implemented the 19th ICLS standards, for which data are also available in the Work Statistics -- 19th ICLS (WORK) database. This harmonized series for informal employment is derived using the same set of criteria across countries to improve comparability. The criteria used are based on employment status, institutional sector, destination of production, bookkeeping, registration, social security contribution, places of work and size. Data disaggregated by occupation are provided according to the latest version of the International Standard Classification of Occupations (ISCO). Data may have been regrouped from the national classifications, which may not be strictly compatible with ISCO. For more information, refer to the Labour Force Statistics (LFS and STLFS) database description.