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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

40.53

LowestThailand

2.01

Shaded 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

Composite Rate of Labour Underutilisation (LU4), 2017: every country, as published by International Labour Organization (ILO).
derived
1RwandaRWAEastern Africa40.5345.90234.826Break in series
2South AfricaZAFSouthern Africa39.5044.06235.493—
3ArmeniaARMWestern Asia37.3640.98533.715—
4NepalNPLSouthern Asia36.3745.25929.342Break in series
5AfghanistanAFGSouthern Asia35.5450.54430.101—
6PalestinePSEWestern Asia32.8955.38626.309—
7Bosnia and HerzegovinaBIHSouthern Europe32.5137.53728.992—
8SenegalSENWestern Africa29.6541.03917.317—
9GreeceGRCSouthern Europe29.5736.37423.969—
10AlbaniaALBSouthern Europe28.7330.01527.699—
11North MacedoniaMKDSouthern Europe28.3729.06227.907—
12SpainESPSouthern Europe27.1632.55022.336—
13New CaledoniaNCLMelanesia27.1133.35021.706—
14SerbiaSRBSouthern Europe26.4527.60925.498—
15MontenegroMNESouthern Europe25.3127.32523.653—
16ChileCHLSouth America24.7329.48021.056Break in series
17MauritaniaMRTWestern Africa24.6329.49221.343—
18JordanJORWestern Asia24.4939.25220.126Break in series
19Costa RicaCRICentral America24.4032.59618.520—
20ItalyITASouthern Europe23.7928.33420.174—
21BrazilBRASouth America23.6128.33019.798—
22CyprusCYPWestern Asia23.5924.42422.808—
23FranceFRAWestern Europe19.9922.29217.834—
24CroatiaHRVSouthern Europe19.8222.62717.212—
25FinlandFINNorthern Europe19.5520.02719.109—

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. 1Rwanda40.53
  2. 2South Africa39.50
  3. 3Armenia37.36
  4. 4Nepal36.37
  5. 5Afghanistan35.54

Lowest

  1. 77Thailand2.01
  2. 76Vietnam3.97
  3. 75Czechia4.19
  4. 74Moldova5.43
  5. 73United 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

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

+ Afghanistan+ Bangladesh+ Belarus+ Brunei+ Jordan+ Laos+ Liberia+ Mauritania+ New Caledonia+ Nepal+ Philippines+ Rwanda+ Togo+ Uganda+ Samoa+ Zambia− Cook Islands− Maldives− Paraguay− Suriname− Eswatini− Seychelles

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.

The site’s method
  • 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.

Licence in full

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

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.

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