Estonia vs Guyana: LU4: Composite measure of labour underutilization
LU4: Composite measure of labour underutilization over time
- Estonia
- Guyana
How they compare
Estonia currently reports 101.14 against 98.31 in Guyana, a difference of 2.83.
The two have swapped places 1 time across 5 shared years of data; in 2018 it was Guyana ahead.
Estonia ranks 66th and Guyana ranks 67th of 79 countries.
Guyana has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Estonia | Guyana | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 76.47 | 108.22 | 31.75 | Guyana |
| 2020s | 90.47 | 101.11 | 10.64 | Guyana |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher lu4: composite measure of labour underutilization, Estonia or Guyana?
- Estonia, at 101.14 against 98.31 in Guyana as of 2024.
- What is the difference in lu4: composite measure of labour underutilization between Estonia and Guyana?
- 2.83, with Estonia ahead.
- How many years of comparable data are there for Estonia and Guyana?
- 5 years are reported by both, from 2018 to 2024.
- How do Estonia and Guyana rank globally for lu4: composite measure of labour underutilization?
- Estonia ranks 66th and Guyana ranks 67th of 79 countries.
- Where does this data come from?
- International Labour Organization, published as LU4: Composite measure of labour underutilization. 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. LU4 represents the share of the extended labour force that are in unemployment, time-related underemployment or the potential labour force. For more information, refer to the Labour Force Statistics (LFS and STLFS) database description.