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Data for 2016

Composite Rate of Labour Underutilisation (LU4), 2016

2016, 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), 2016 covers 67 countries on 3 measures. South Africa is highest, at 39.258; Thailand is lowest, at 1.738. The middle country reads 15.270. Against 2015, 60 values changed (20 up, 40 down), 7 countries joined, 2 left.

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Composite Rate of Labour Underutilisation (LU4) · Data for 2016

HighestSouth Africa

39.258

LowestThailand

1.738

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), 2016, 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 67 countries · select a heading to sort

Composite Rate of Labour Underutilisation (LU4), 2016: every country, as published by International Labour Organization (ILO).
derived
1South AfricaZAFSouthern Africa39.25844.05635.09—
2ArmeniaARMWestern Asia38.00941.07134.97—
3Bosnia and HerzegovinaBIHSouthern Europe37.39945.00232.15—
4EswatiniSWZSouthern Africa36.66140.12133.01—
5AlbaniaALBSouthern Europe33.36733.70533.09—
6PalestinePSEWestern Asia32.58354.27426.00—
7GreeceGRCSouthern Europe31.73838.01226.56—
8North MacedoniaMKDSouthern Europe30.07830.02730.11—
9SerbiaSRBSouthern Europe30.06932.07028.41—
10SpainESPSouthern Europe29.68335.13624.77—
11SenegalSENWestern Africa29.03240.20817.81—
12Costa RicaCRICentral America27.38036.98220.08—
13CyprusCYPWestern Asia27.01027.39726.64—
14MontenegroMNESouthern Europe26.96127.76926.29—
15MaldivesMDVSouthern Asia26.12836.13218.34Break in series
16ItalyITASouthern Europe24.98429.74621.20—
17ChileCHLSouth America24.83730.36020.58—
18CroatiaHRVSouthern Europe23.95026.41621.68—
19PortugalPRTSouthern Europe22.25623.56421.00—
20FranceFRAWestern Europe20.96023.17718.89—
21BrazilBRASouth America20.75625.18817.25—
22SurinameSURSouth America20.74723.93518.51—
23Côte d’IvoireCIVWestern Africa20.48325.89216.00—
24FinlandFINNorthern Europe20.24720.76519.77—
25UruguayURYSouth America19.07822.77615.87—

02In 2016

At either end

The 5 countries at each end of the headline, then the highest and lowest on each other measure.

Highest

  1. 1South Africa39.258
  2. 2Armenia38.009
  3. 3Bosnia and Herzegovina37.399
  4. 4Eswatini36.661
  5. 5Albania33.367

Lowest

  1. 67Thailand1.738
  2. 66Vietnam4.021
  3. 65Czechia5.442
  4. 64Moldova5.748
  5. 63United States6.686

A higher value is the worse result. The middle country reads 15.270. “Shared” marks a value another country also holds.

Each measure’s ends

032015 → 2016

Since 2015

  • +7 / −2countries joined / left
  • 60values changed, of 60 in both
  • 20 · 40rose · fell
  • 0unchanged

Rose most

Fell most

  • Albania38.716 → 33.367−5.349
  • Cyprus30.614 → 27.010−3.604
  • Serbia33.278 → 30.069−3.209
  • Spain32.545 → 29.683−2.862
  • Hungary11.496 → 9.015−2.481
+ Côte d’Ivoire+ Cook Islands+ Indonesia+ Maldives+ Senegal+ Suriname+ Eswatini− Ghana− Togo

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 2016.

  • 64 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) (2016). Composite Rate of Labour Underutilisation (LU4), 2016 [data set], describing 2016. As held by Nations Inquiry, https://nationsinquiry.com/datasets/labour-underutilisation/2016

0611 held

Other years