Data for 2017
Composite Rate of Labour Underutilisation (LU4), 2017
2017, as ILO’s 2026 release gives it · stored as published, never rewritten
Composite Rate of Labour Underutilisation (LU4), 2017 covers 77 countries on 3 measures. Rwanda is highest, at 40.53; Thailand is lowest, at 2.01. The middle country reads 14.10. Against 2016, 61 values changed (10 up, 51 down), 16 countries joined, 6 left.
Composite Rate of Labour Underutilisation (LU4) · Data for 2017
HighestRwanda
40.53LowestThailand
2.01Shaded by value in five groups of equal size, darkest at the lowest end. A higher value is the worse result.
01Position · derived
The table
Every country and every column of Composite Rate of Labour Underutilisation (LU4), 2017, as published. ILO ranks nobody on this measure; the position is derived here by ordering the published values. “=” marks a shared position.
Showing 25 of 77 countries · select a heading to sort
| derived | |||||
|---|---|---|---|---|---|
| 1 | 40.53 | 45.902 | 34.826 | Break in series | |
| 2 | 39.50 | 44.062 | 35.493 | — | |
| 3 | 37.36 | 40.985 | 33.715 | — | |
| 4 | 36.37 | 45.259 | 29.342 | Break in series | |
| 5 | 35.54 | 50.544 | 30.101 | — | |
| 6 | 32.89 | 55.386 | 26.309 | — | |
| 7 | 32.51 | 37.537 | 28.992 | — | |
| 8 | 29.65 | 41.039 | 17.317 | — | |
| 9 | 29.57 | 36.374 | 23.969 | — | |
| 10 | 28.73 | 30.015 | 27.699 | — | |
| 11 | 28.37 | 29.062 | 27.907 | — | |
| 12 | 27.16 | 32.550 | 22.336 | — | |
| 13 | 27.11 | 33.350 | 21.706 | — | |
| 14 | 26.45 | 27.609 | 25.498 | — | |
| 15 | 25.31 | 27.325 | 23.653 | — | |
| 16 | 24.73 | 29.480 | 21.056 | Break in series | |
| 17 | 24.63 | 29.492 | 21.343 | — | |
| 18 | 24.49 | 39.252 | 20.126 | Break in series | |
| 19 | 24.40 | 32.596 | 18.520 | — | |
| 20 | 23.79 | 28.334 | 20.174 | — | |
| 21 | 23.61 | 28.330 | 19.798 | — | |
| 22 | 23.59 | 24.424 | 22.808 | — | |
| 23 | 19.99 | 22.292 | 17.834 | — | |
| 24 | 19.82 | 22.627 | 17.212 | — | |
| 25 | 19.55 | 20.027 | 19.109 | — | |
| 26 | 19.20 | 21.132 | 17.326 | — | |
| 27 | 19.08 | 22.491 | 16.110 | — | |
| 28 | 18.83 | 21.001 | 16.780 | Break in series | |
| 29 | 17.93 | 19.785 | 16.393 | — | |
| 30 | 17.52 | 18.473 | 16.548 | Break in series | |
| 31 | 16.09 | 24.693 | 10.453 | Break in series | |
| 32 | 15.95 | 20.833 | 12.265 | — | |
| 33 | 15.94 | 22.102 | 11.390 | — | |
| 34 | 15.41 | 15.432 | 15.381 | — | |
| 35 | 15.19 | 16.118 | 14.393 | — | |
| 36 | 14.89 | 14.448 | 15.188 | — | |
| 37 | 14.78 | 15.805 | 13.744 | Break in series | |
| 38 | 14.18 | 15.863 | 12.708 | — | |
| 39 | 14.10 | 17.082 | 11.468 | — | |
| 40 | 13.71 | 14.027 | 13.404 | — | |
| 41 | 13.45 | 16.841 | 11.111 | — | |
| 42 | 13.44 | 17.691 | 10.399 | — | |
| 43 | 13.22 | 14.659 | 11.943 | — | |
| 44 | 13.12 | 15.184 | 11.297 | — | |
| 45 | 13.01 | 12.252 | 13.473 | — | |
| 46 | 12.79 | 13.804 | 11.880 | — | |
| 47 | 12.65 | 13.756 | 11.695 | — | |
| 48 | 12.64 | 13.503 | 11.686 | Break in series | |
| 49 | 12.53 | 18.815 | 8.456 | — | |
| 50 | 12.37 | 13.015 | 11.785 | — | |
| 51 | 12.27 | 10.224 | 14.108 | Break in series | |
| 52 | 12.20 | 13.910 | 10.676 | — | |
| 53 | 11.40 | 12.142 | 10.787 | — | |
| 54 | 11.37 | 14.226 | 9.511 | — | |
| 55 | 11.10 | 11.117 | 11.092 | — | |
| 56 | 11.01 | 10.974 | 11.044 | — | |
| 57 | 10.84 | 12.383 | 9.761 | — | |
| 58 | 10.25 | 12.320 | 8.425 | — | |
| 59 | 10.12 | 9.724 | 10.424 | — | |
| 60 | 9.96 | 8.719 | 11.218 | — | |
| 61 | 9.50 | 10.306 | 8.772 | — | |
| 62 | 9.20 | 10.213 | 8.317 | — | |
| 63 | 9.17 | 7.619 | 10.692 | — | |
| 64 | 8.95 | 14.448 | 6.294 | — | |
| 65 | 8.72 | 8.662 | 8.761 | — | |
| 66 | 8.65 | 9.714 | 7.764 | — | |
| 67 | 8.59 | 10.503 | 7.053 | — | |
| 68 | 8.48 | 12.741 | 6.289 | — | |
| 69 | 8.47 | 13.070 | 5.753 | — | |
| 70 | 7.71 | 8.738 | 6.844 | — | |
| 71 | 7.42 | 8.800 | 6.572 | — | |
| 72 | 7.12 | 8.084 | 6.466 | — | |
| 73 | 5.99 | 5.899 | 6.072 | — | |
| 74 | 5.43 | 4.035 | 6.965 | — | |
| 75 | 4.19 | 5.444 | 3.176 | — | |
| 76 | 3.97 | 3.980 | 3.964 | — | |
| 77 | 2.01 | 1.829 | 2.159 | — |
02In 2017
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Rwanda40.53
- 2
South Africa39.50
- 3
Armenia37.36
- 4
Nepal36.37
- 5
Afghanistan35.54
Lowest
- 77
Thailand2.01
- 76
Vietnam3.97
- 75
Czechia4.19
- 74
Moldova5.43
- 73
United States5.99
A higher value is the worse result. The middle country reads 14.10. “Shared” marks a value another country also holds.
Each measure’s ends
Women (%)
Highest
Palestine55.386
Lowest
Thailand1.829
Middle country: 15.863
Men (%)
Highest
South Africa35.493
Lowest
Thailand2.159
Middle country: 12.265
032016 → 2017
Since 2016
What changed between 2016 and this one: who joined or left, and how far the headline moved.
- +16 / −6countries joined / left
- 61values changed, of 61 in both
- 10 · 51rose · fell
- 0unchanged
Rose most
Fell most
Côte d’Ivoire20.48 → 13.44−7.04
Bosnia and Herzegovina37.40 → 32.51−4.89
Albania33.37 → 28.73−4.63
Croatia23.95 → 19.82−4.13
Serbia30.07 → 26.45−3.62
Both years come from the same release, so a difference here is a change in the data, not a revision of it. Every country’s full history is charted on the statistic page.
04Caveats
Read before you use
What this edition’s numbers are and are not, worked out from the file itself.
One year of the 2026 release
Every year in this series comes from ILO’s 2026 release, recalculated on one method. It can differ from what was first published for 2017.
The position is ours
ILO publishes values only. The order here sorts the published values, and the page says so wherever it prints one.
Which end is better
A higher value is the worse result.
67 empty cells
An empty cell means the publisher gave no figure. It is never a zero.
Some readings carry a flag
ILO marks readings it considers estimates or provisional. The flags in this file: Break in series.
05The files
Download and cite
The table as a file, digit for digit, what this site changed, and a citation for this edition.
- .csv
For a spreadsheet or code
77 rows · 4.1 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download labour-underutilisation-2017-nations-inquiry.csv - ↗
The publisher’s original
ILO’s own file, on its own site.
https://rplumber.ilo.org/data/indicator/?id=LUU_XLU4_SEX_RT&format=.csv&channel=ilostat
What this site changed: Reshaped into one row per country: regional and income-group totals are left out, only the columns listed are kept, each row gets its ISO 3166 code, and some country names are brought to one spelling. No value is recalculated, rescaled or rounded.
Licence: CC BY 4.0. Share, adapt and use commercially. Credit the publisher and say if you changed anything.
Cite this edition
International Labour Organization (ILO) (2017). Composite Rate of Labour Underutilisation (LU4), 2017 [data set], describing 2017. As held by Nations Inquiry, https://nationsinquiry.com/datasets/labour-underutilisation/2017
0611 held
Other years
‹ The year before
Composite Rate of Labour Underutilisation (LU4), 201667 countries
The year after ›
Composite Rate of Labour Underutilisation (LU4), 201873 countries
All of them
Composite Rate of Labour Underutilisation (LU4): every year11 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Composite Rate of Labour Underutilisation (LU4), 2017: questions and answers
Which country has the highest labour underutilisation in Composite Rate of Labour Underutilisation (LU4), 2017?
Rwanda, at 40.53, of the 77 countries in the file.
What year does Composite Rate of Labour Underutilisation (LU4), 2017 describe?
2017.
How many countries does Composite Rate of Labour Underutilisation (LU4), 2017 cover?
77.
Where can I download Composite Rate of Labour Underutilisation (LU4), 2017?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Composite Rate of Labour Underutilisation (LU4), 2017 the newest?
No. The newest held here is Composite Rate of Labour Underutilisation (LU4), 2024.