Data for 2017
Compliance with Labour Rights, 2017
2017, as ILO’s 2026 release gives it · stored as published, never rewritten
This is the United Nations’ measure of whether workers can form trade unions and bargain collectively. The International Labour Organization scores each country from 0, where its supervisory bodies and the country’s laws show no violation of those rights, to 10, where they show the most. It is the official indicator for the labour-rights part of Sustainable Development Goal 8.
Compliance with Labour Rights, 2017 covers 187 countries. 2 countries share the highest reading, 10.00; 14 countries share the lowest reading, 0.00. The middle country reads 1.52. Against 2016, 77 values changed (36 up, 41 down), the same countries are covered.
Compliance with Labour Rights · Data for 2017
Highest2 countries share it
10.00Lowest14 countries share it
0.00Shaded by value in five groups of equal size, darkest at the lowest end.
01Values only
The table
Every country and every column of Compliance with Labour Rights, 2017, as published. The file carries values only, so no position is shown. “=” marks a shared position.
Showing 25 of 187 countries · select a heading to sort
IRNSouthern Asia | 10.00 | — |
AREWestern Asia | 10.00 | — |
QATWestern Asia | 8.59 | — |
CHNEastern Asia | 8.51 | — |
VNMSouth-eastern Asia | 8.28 | — |
EGYNorthern Africa | 7.07 | — |
SDNNorthern Africa | 7.05 | — |
UZBCentral Asia | 6.98 | — |
VENSouth America | 6.97 | — |
BGDSouthern Asia | 6.95 | — |
KOREastern Asia | 6.84 | — |
THASouth-eastern Asia | 6.70 | — |
SAUWestern Asia | 6.64 | — |
BLREastern Europe | 6.63 | — |
SYRWestern Asia | 6.47 | — |
IRQWestern Asia | 6.28 | — |
DJIEastern Africa | 6.17 | — |
LBYNorthern Africa | 6.14 | — |
LAOSouth-eastern Asia | 6.02 | — |
MYSSouth-eastern Asia | 5.68 | — |
SLVCentral America | 5.33 | — |
INDSouthern Asia | 5.10 | — |
COLSouth America | 5.04 | — |
KHMSouth-eastern Asia | 4.93 | — |
PANCentral America | 4.87 | — |
FJIMelanesia | 4.85 | — |
GTMCentral America | 4.84 | — |
ZWEEastern Africa | 4.81 | — |
PERSouth America | 4.74 | — |
AFGSouthern Asia | 4.72 | — |
GNQMiddle Africa | 4.62 | The score should be treated with care due to the possibility of insufficient information in the textual sources, based on comparison with an externally produced indicator (see Metadata, point 4.f.) |
BHRWestern Asia | 4.38 | — |
PHLSouth-eastern Asia | 4.38 | — |
PAKSouthern Asia | 4.26 | — |
LBNWestern Asia | 4.16 | — |
MDVSouthern Asia | 4.07 | — |
ECUSouth America | 4.04 | — |
HNDCentral America | 3.93 | — |
NPLSouthern Asia | 3.78 | — |
OMNWestern Asia | 3.78 | — |
KENEastern Africa | 3.62 | — |
PRYSouth America | 3.23 | — |
TURWestern Asia | 3.21 | The score should be treated with care due to the possibility of insufficient information in the textual sources, based on comparison with an externally produced indicator (see Metadata, point 4.f.) |
CODMiddle Africa | 3.16 | The score should be treated with care due to the possibility of insufficient information in the textual sources, based on comparison with an externally produced indicator (see Metadata, point 4.f.) |
ETHEastern Africa | 3.13 | The score should be treated with care due to the possibility of insufficient information in the textual sources, based on comparison with an externally produced indicator (see Metadata, point 4.f.) |
BWASouthern Africa | 3.11 | — |
MEXCentral America | 3.05 | — |
VUTMelanesia | 3.03 | — |
JORWestern Asia | 2.91 | — |
NGAWestern Africa | 2.90 | — |
USANorthern America | 2.72 | — |
SGPSouth-eastern Asia | 2.70 | — |
MMRSouth-eastern Asia | 2.68 | — |
GNBWestern Africa | 2.64 | — |
BOLSouth America | 2.59 | — |
BRNSouth-eastern Asia | 2.58 | — |
SLBMelanesia | 2.55 | — |
BHSCaribbean | 2.51 | — |
KWTWestern Asia | 2.51 | — |
IDNSouth-eastern Asia | 2.49 | — |
MARNorthern Africa | 2.44 | — |
ERIEastern Africa | 2.41 | The score should be treated with care due to the possibility of insufficient information in the textual sources, based on comparison with an externally produced indicator (see Metadata, point 4.f.) |
LKASouthern Asia | 2.37 | — |
RWAEastern Africa | 2.31 | The score should be treated with care due to the possibility of insufficient information in the textual sources, based on comparison with an externally produced indicator (see Metadata, point 4.f.) |
AGOMiddle Africa | 2.27 | The score should be treated with care due to the possibility of insufficient information in the textual sources, based on comparison with an externally produced indicator (see Metadata, point 4.f.) |
CMRMiddle Africa | 2.24 | The score should be treated with care due to the possibility of insufficient information in the textual sources, based on comparison with an externally produced indicator (see Metadata, point 4.f.) |
ZMBEastern Africa | 2.21 | — |
RUSEastern Europe | 2.19 | The score should be treated with care due to the possibility of insufficient information in the textual sources, based on comparison with an externally produced indicator (see Metadata, point 4.f.) |
ROUEastern Europe | 2.14 | — |
BRASouth America | 2.13 | — |
DZANorthern Africa | 2.11 | — |
BDIEastern Africa | 2.10 | The score should be treated with care due to the possibility of insufficient information in the textual sources, based on comparison with an externally produced indicator (see Metadata, point 4.f.) |
SSDEastern Africa | 2.03 | The score should be treated with care due to the possibility of insufficient information in the textual sources, based on comparison with an externally produced indicator (see Metadata, point 4.f.) |
KAZCentral Asia | 1.94 | — |
SENWestern Africa | 1.84 | — |
TTOCaribbean | 1.84 | — |
MLTSouthern Europe | 1.83 | — |
CHLSouth America | 1.82 | — |
MOZEastern Africa | 1.81 | — |
ARGSouth America | 1.80 | — |
NZLAustralia and New Zealand | 1.79 | — |
MUSEastern Africa | 1.78 | — |
TZAEastern Africa | 1.77 | — |
MHLMicronesia | 1.72 | — |
GMBWestern Africa | 1.64 | The score should be treated with care due to the possibility of insufficient information in the textual sources, based on comparison with an externally produced indicator (see Metadata, point 4.f.) |
MRTWestern Africa | 1.63 | The score should be treated with care due to the possibility of insufficient information in the textual sources, based on comparison with an externally produced indicator (see Metadata, point 4.f.) |
GHAWestern Africa | 1.62 | — |
HTICaribbean | 1.62 | The score should be treated with care due to the possibility of insufficient information in the textual sources, based on comparison with an externally produced indicator (see Metadata, point 4.f.) |
CAFMiddle Africa | 1.61 | The score should be treated with care due to the possibility of insufficient information in the textual sources, based on comparison with an externally produced indicator (see Metadata, point 4.f.) |
SWZSouthern Africa | 1.61 | The score should be treated with care due to the possibility of insufficient information in the textual sources, based on comparison with an externally produced indicator (see Metadata, point 4.f.) |
SRBSouthern Europe | 1.60 | — |
SOMEastern Africa | 1.56 | The score should be treated with care due to the possibility of insufficient information in the textual sources, based on comparison with an externally produced indicator (see Metadata, point 4.f.) |
CANNorthern America | 1.55 | — |
WSMPolynesia | 1.52 | — |
TUNNorthern Africa | 1.46 | — |
UGAEastern Africa | 1.46 | — |
DOMCaribbean | 1.45 | — |
LSOSouthern Africa | 1.44 | — |
TKMCentral Asia | 1.43 | The score should be treated with care due to the possibility of insufficient information in the textual sources, based on comparison with an externally produced indicator (see Metadata, point 4.f.) |
TUVPolynesia | 1.43 | — |
ARMWestern Asia | 1.40 | — |
CRICentral America | 1.40 | — |
MNESouthern Europe | 1.40 | — |
PLWMicronesia | 1.39 | — |
COMEastern Africa | 1.35 | — |
STPMiddle Africa | 1.34 | — |
NERWestern Africa | 1.30 | — |
TGOWestern Africa | 1.29 | — |
JPNEastern Asia | 1.28 | — |
MDGEastern Africa | 1.27 | — |
PNGMelanesia | 1.27 | — |
BGREastern Europe | 1.26 | — |
SYCEastern Africa | 1.26 | — |
JAMCaribbean | 1.23 | — |
PRTSouthern Europe | 1.16 | — |
HRVSouthern Europe | 1.12 | — |
KIRMicronesia | 1.08 | — |
GBRNorthern Europe | 1.08 | — |
URYSouth America | 1.08 | — |
YEMWestern Asia | 1.08 | The score should be treated with care due to the possibility of insufficient information in the textual sources, based on comparison with an externally produced indicator (see Metadata, point 4.f.) |
BIHSouthern Europe | 1.05 | — |
GRCSouthern Europe | 1.00 | — |
CUBCaribbean | 0.98 | The score should be treated with care due to the possibility of insufficient information in the textual sources, based on comparison with an externally produced indicator (see Metadata, point 4.f.) |
ZAFSouthern Africa | 0.98 | — |
POLEastern Europe | 0.95 | — |
LBRWestern Africa | 0.93 | — |
MDAEastern Europe | 0.89 | — |
BFAWestern Africa | 0.88 | — |
MLIWestern Africa | 0.88 | — |
TONPolynesia | 0.87 | — |
GEOWestern Asia | 0.86 | — |
VCTCaribbean | 0.85 | — |
COKPolynesia | 0.83 | — |
SLEWestern Africa | 0.75 | — |
NAMSouthern Africa | 0.73 | — |
ALBSouthern Europe | 0.72 | — |
ATGCaribbean | 0.72 | — |
CIVWestern Africa | 0.72 | — |
HUNEastern Europe | 0.72 | — |
GRDCaribbean | 0.71 | — |
TCDMiddle Africa | 0.70 | The score should be treated with care due to the possibility of insufficient information in the textual sources, based on comparison with an externally produced indicator (see Metadata, point 4.f.) |
AUSAustralia and New Zealand | 0.69 | — |
KNACaribbean | 0.68 | — |
GINWestern Africa | 0.67 | The score should be treated with care due to the possibility of insufficient information in the textual sources, based on comparison with an externally produced indicator (see Metadata, point 4.f.) |
UKREastern Europe | 0.57 | — |
AZEWestern Asia | 0.54 | The score should be treated with care due to the possibility of insufficient information in the textual sources, based on comparison with an externally produced indicator (see Metadata, point 4.f.) |
BRBCaribbean | 0.54 | — |
ESPSouthern Europe | 0.54 | — |
BLZCentral America | 0.53 | — |
DNKNorthern Europe | 0.53 | — |
GUYSouth America | 0.53 | — |
MKDSouthern Europe | 0.52 | — |
TJKCentral Asia | 0.51 | The score should be treated with care due to the possibility of insufficient information in the textual sources, based on comparison with an externally produced indicator (see Metadata, point 4.f.) |
COGMiddle Africa | 0.50 | The score should be treated with care due to the possibility of insufficient information in the textual sources, based on comparison with an externally produced indicator (see Metadata, point 4.f.) |
TLSSouth-eastern Asia | 0.50 | — |
CPVWestern Africa | 0.47 | — |
LCACaribbean | 0.39 | — |
DEUWestern Europe | 0.38 | — |
NLDWestern Europe | 0.38 | — |
FRAWestern Europe | 0.36 | — |
KGZCentral Asia | 0.35 | The score should be treated with care due to the possibility of insufficient information in the textual sources, based on comparison with an externally produced indicator (see Metadata, point 4.f.) |
CHEWestern Europe | 0.35 | — |
LUXWestern Europe | 0.19 | — |
NICCentral America | 0.19 | — |
CZEEastern Europe | 0.18 | — |
LTUNorthern Europe | 0.18 | — |
SVNSouthern Europe | 0.18 | — |
BENWestern Africa | 0.17 | — |
DMACaribbean | 0.17 | — |
MWIEastern Africa | 0.17 | — |
GABMiddle Africa | 0.15 | The score should be treated with care due to the possibility of insufficient information in the textual sources, based on comparison with an externally produced indicator (see Metadata, point 4.f.) |
MNGEastern Asia | 0.15 | — |
SWENorthern Europe | 0.15 | — |
AUTWestern Europe | 0.00 | — |
BELWestern Europe | 0.00 | — |
CYPWestern Asia | 0.00 | — |
ESTNorthern Europe | 0.00 | — |
FINNorthern Europe | 0.00 | — |
ISLNorthern Europe | 0.00 | — |
IRLNorthern Europe | 0.00 | — |
ISRWestern Asia | 0.00 | — |
ITASouthern Europe | 0.00 | — |
LVANorthern Europe | 0.00 | — |
NORNorthern Europe | 0.00 | — |
SMRSouthern Europe | 0.00 | — |
SVKEastern Europe | 0.00 | — |
SURSouth America | 0.00 | — |
02In 2017
At either end
The 5 countries at each end of the headline.
Highest
United Arab Emiratesshared10.00
Iranshared10.00
Qatar8.59
China8.51
Vietnam8.28
Lowest
Slovakiashared0.00
Surinameshared0.00
San Marinoshared0.00
Norwayshared0.00
Latviashared0.00
A higher value is the worse result. The middle country reads 1.52. “Shared” marks a value another country also holds.
032016 → 2017
Since 2016
- +0 / −0countries joined / left
- 77values changed, of 187 in both
- 36 · 41rose · fell
- 110unchanged
Rose most
Bangladesh5.57 → 6.95+1.38
South Korea5.48 → 6.84+1.36
Venezuela6.31 → 6.97+0.66
Honduras3.34 → 3.93+0.59
Mauritius1.20 → 1.78+0.58
Fell most
Guatemala5.79 → 4.84−0.95
Mexico3.81 → 3.05−0.76
Ireland0.72 → 0.00−0.72
Cameroon2.84 → 2.24−0.60
Philippines4.97 → 4.38−0.59
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 2017.
139 distinct values among 187
Values are stored exactly as published, to 2 decimals. 14 countries share 0.00. Countries sharing a value share a position too.
160 empty cells
An empty cell means the publisher gave no figure. It is never a zero.
05The files
Download and cite
- .csv
For a spreadsheet or code
187 rows · 10 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download labour-rights-compliance-2017-nations-inquiry.csv - ↗
The publisher’s original
ILO’s own file, on its own site.
https://rplumber.ilo.org/data/indicator/?id=SDG_0882_NOC_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) (2017). Compliance with Labour Rights, 2017 [data set], describing 2017. As held by Nations Inquiry, https://nationsinquiry.com/datasets/labour-rights-compliance/2017
0610 held
Other years
‹ The year before
Compliance with Labour Rights, 2016187 countries
The year after ›
Compliance with Labour Rights, 2018187 countries
All of them
Compliance with Labour Rights: every year10 held, with the data dictionary, coverage and licence.
How it has moved, charted by country