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.
Composite Rate of Labour Underutilisation (LU4) · Data for 2016
HighestSouth Africa
39.258LowestThailand
1.738Shaded 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
| derived | |||||
|---|---|---|---|---|---|
| 1 | ZAFSouthern Africa | 39.258 | 44.056 | 35.09 | — |
| 2 | ARMWestern Asia | 38.009 | 41.071 | 34.97 | — |
| 3 | BIHSouthern Europe | 37.399 | 45.002 | 32.15 | — |
| 4 | SWZSouthern Africa | 36.661 | 40.121 | 33.01 | — |
| 5 | ALBSouthern Europe | 33.367 | 33.705 | 33.09 | — |
| 6 | PSEWestern Asia | 32.583 | 54.274 | 26.00 | — |
| 7 | GRCSouthern Europe | 31.738 | 38.012 | 26.56 | — |
| 8 | MKDSouthern Europe | 30.078 | 30.027 | 30.11 | — |
| 9 | SRBSouthern Europe | 30.069 | 32.070 | 28.41 | — |
| 10 | ESPSouthern Europe | 29.683 | 35.136 | 24.77 | — |
| 11 | SENWestern Africa | 29.032 | 40.208 | 17.81 | — |
| 12 | CRICentral America | 27.380 | 36.982 | 20.08 | — |
| 13 | CYPWestern Asia | 27.010 | 27.397 | 26.64 | — |
| 14 | MNESouthern Europe | 26.961 | 27.769 | 26.29 | — |
| 15 | MDVSouthern Asia | 26.128 | 36.132 | 18.34 | Break in series |
| 16 | ITASouthern Europe | 24.984 | 29.746 | 21.20 | — |
| 17 | CHLSouth America | 24.837 | 30.360 | 20.58 | — |
| 18 | HRVSouthern Europe | 23.950 | 26.416 | 21.68 | — |
| 19 | PRTSouthern Europe | 22.256 | 23.564 | 21.00 | — |
| 20 | FRAWestern Europe | 20.960 | 23.177 | 18.89 | — |
| 21 | BRASouth America | 20.756 | 25.188 | 17.25 | — |
| 22 | SURSouth America | 20.747 | 23.935 | 18.51 | — |
| 23 | CIVWestern Africa | 20.483 | 25.892 | 16.00 | — |
| 24 | FINNorthern Europe | 20.247 | 20.765 | 19.77 | — |
| 25 | URYSouth America | 19.078 | 22.776 | 15.87 | — |
| 26 | DOMCaribbean | 18.140 | 25.495 | 12.71 | — |
| 27 | LVANorthern Europe | 17.306 | 16.431 | 18.19 | — |
| 28 | PRYSouth America | 17.118 | 21.781 | 12.86 | — |
| 29 | COLSouth America | 16.011 | 21.165 | 12.11 | — |
| 30 | NLDWestern Europe | 15.938 | 19.235 | 13.03 | — |
| 31 | SVNSouthern Europe | 15.682 | 17.516 | 14.07 | — |
| 32 | DNKNorthern Europe | 15.417 | 16.730 | 14.24 | — |
| 33 | SLVCentral America | 15.408 | 15.713 | 15.19 | — |
| 34 | IRLNorthern Europe | 15.270 | 15.115 | 15.40 | — |
| 35 | LUXWestern Europe | 14.600 | 17.846 | 11.79 | — |
| 36 | BGREastern Europe | 14.271 | 13.499 | 14.94 | — |
| 37 | AUTWestern Europe | 14.194 | 15.794 | 12.77 | — |
| 38 | IDNSouth-eastern Asia | 14.030 | 18.200 | 11.17 | — |
| 39 | BELWestern Europe | 13.837 | 15.164 | 12.70 | — |
| 40 | BRBCaribbean | 13.757 | 14.364 | 13.16 | — |
| 41 | SWENorthern Europe | 13.088 | 13.560 | 12.66 | — |
| 42 | GBRNorthern Europe | 12.868 | 14.582 | 11.35 | — |
| 43 | ESTNorthern Europe | 12.845 | 12.800 | 12.89 | — |
| 44 | SVKEastern Europe | 12.798 | 14.400 | 11.46 | — |
| 45 | BLZCentral America | 12.408 | 19.053 | 8.06 | — |
| 46 | COKPolynesia | 12.154 | 12.604 | 11.75 | Break in series |
| 47 | ROUEastern Europe | 11.817 | 11.292 | 12.22 | — |
| 48 | LTUNorthern Europe | 10.934 | 9.979 | 11.91 | — |
| 49 | ISLNorthern Europe | 10.672 | 12.598 | 8.94 | — |
| 50 | MUSEastern Africa | 10.608 | 15.272 | 7.56 | — |
| 51 | NORNorthern Europe | 10.479 | 10.432 | 10.52 | — |
| 52 | KGZCentral Asia | 10.428 | 12.990 | 8.70 | — |
| 53 | POLEastern Europe | 10.227 | 11.401 | 9.25 | — |
| 54 | DEUWestern Europe | 9.804 | 11.094 | 8.69 | — |
| 55 | BOLSouth America | 9.795 | 12.323 | 7.83 | Break in series |
| 56 | PANCentral America | 9.735 | 11.144 | 8.76 | — |
| 57 | CANNorthern America | 9.371 | 9.095 | 9.62 | — |
| 58 | HUNEastern Europe | 9.015 | 9.542 | 8.57 | — |
| 59 | MLTSouthern Europe | 8.448 | 10.037 | 7.39 | — |
| 60 | SYCEastern Africa | 8.088 | 8.141 | 8.04 | — |
| 61 | GTMCentral America | 7.943 | 11.346 | 6.12 | — |
| 62 | LKASouthern Asia | 7.940 | 12.270 | 5.45 | — |
| 63 | USANorthern America | 6.686 | 6.519 | 6.83 | — |
| 64 | MDAEastern Europe | 5.748 | 4.123 | 7.52 | — |
| 65 | CZEEastern Europe | 5.442 | 6.806 | 4.35 | — |
| 66 | VNMSouth-eastern Asia | 4.021 | 4.066 | 3.98 | — |
| 67 | THASouth-eastern Asia | 1.738 | 1.611 | 1.85 | — |
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
South Africa39.258
- 2
Armenia38.009
- 3
Bosnia and Herzegovina37.399
- 4
Eswatini36.661
- 5
Albania33.367
Lowest
- 67
Thailand1.738
- 66
Vietnam4.021
- 65
Czechia5.442
- 64
Moldova5.748
- 63
United 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
Women (%)
Highest
Palestine54.274
Lowest
Thailand1.611
Middle country: 16.730
Men (%)
Highest
South Africa35.09
Lowest
Thailand1.85
Middle country: 12.89
032015 → 2016
Since 2015
- +7 / −2countries joined / left
- 60values changed, of 60 in both
- 20 · 40rose · fell
- 0unchanged
Rose most
Denmark10.655 → 15.417+4.762
Brazil16.758 → 20.756+3.998
Bolivia7.742 → 9.795+2.053
Costa Rica25.798 → 27.380+1.582
El Salvador13.881 → 15.408+1.527
04Caveats
Read before you use
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
- .csv
For a spreadsheet or code
67 rows · 3.7 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download labour-underutilisation-2016-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 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
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Composite Rate of Labour Underutilisation (LU4), 201562 countries
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Composite Rate of Labour Underutilisation (LU4), 201777 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