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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

The unemployment rate counts only people who are actively looking for work and could start at once. This broader rate also counts people working fewer hours than they want and people who want a job but have stopped looking or cannot start yet — the International Labour Organization’s widest measure of work people want and do not have.

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.

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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.

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

  • +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

04Caveats

Read before you use

How values are stored
  • One year of the 2026 release

    Every year in this series comes from ILO’s 2026 release, recalculated on one method, so a change from one year to the next is not a revision. It can differ from what was first published for 2017.

  • 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

Licence in full

What this site changed: Reshaped to one row per country, with its ISO code; no value recalculated, rescaled or rounded. In full

Licence: CC BY 4.0 · what it allows, in plain words

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