Data for 2024
Compliance with Labour Rights, 2024
2024, 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, 2024 covers 186 countries. 3 countries share the highest reading, 10.00; 13 countries share the lowest reading, 0.00. The middle country reads 1.61. Against 2023, 38 values changed (17 up, 21 down), the same countries are covered.
Compliance with Labour Rights · Data for 2024
Highest3 countries share it
10.00Lowest13 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, 2024, as published. The file carries values only, so no position is shown. “=” marks a shared position.
Showing 25 of 186 countries · select a heading to sort
IRNSouthern Asia | 10.00 | — |
MMRSouth-eastern Asia | 10.00 | — |
AREWestern Asia | 10.00 | — |
BLREastern Europe | 9.92 | — |
VNMSouth-eastern Asia | 9.14 | — |
CHNEastern Asia | 9.13 | — |
BGDSouthern Asia | 9.06 | — |
VENSouth America | 8.91 | — |
QATWestern Asia | 8.72 | — |
SDNNorthern Africa | 8.59 | — |
GTMCentral America | 6.88 | — |
IRQWestern Asia | 6.85 | — |
THASouth-eastern Asia | 6.70 | — |
SAUWestern Asia | 6.64 | — |
LBYNorthern Africa | 6.49 | — |
SYRWestern Asia | 6.47 | — |
KHMSouth-eastern Asia | 6.42 | — |
SLVCentral America | 6.24 | — |
COLSouth America | 6.11 | — |
EGYNorthern Africa | 6.05 | — |
LAOSouth-eastern Asia | 6.02 | — |
MYSSouth-eastern Asia | 5.95 | — |
ECUSouth America | 5.94 | — |
ZWEEastern Africa | 5.80 | — |
DJIEastern Africa | 5.76 | — |
UZBCentral Asia | 5.71 | — |
KOREastern Asia | 5.63 | — |
AFGSouthern Asia | 5.48 | — |
NICCentral America | 5.14 | — |
PHLSouth-eastern Asia | 5.01 | — |
HNDCentral America | 4.86 | — |
PAKSouthern Asia | 4.83 | — |
PERSouth America | 4.81 | — |
TURWestern Asia | 4.81 | — |
GNQMiddle Africa | 4.80 | 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.) |
MDVSouthern Asia | 4.60 | — |
GNBWestern Africa | 4.50 | — |
INDSouthern Asia | 4.45 | — |
DZANorthern Africa | 4.44 | — |
PANCentral America | 4.32 | — |
NPLSouthern Asia | 4.30 | — |
FJIMelanesia | 4.18 | — |
LBNWestern Asia | 4.17 | — |
BHRWestern Asia | 4.00 | — |
KENEastern Africa | 4.00 | — |
ARGSouth America | 3.98 | — |
USANorthern America | 3.83 | — |
RUSEastern Europe | 3.71 | — |
OMNWestern Asia | 3.70 | — |
JORWestern Asia | 3.48 | — |
BOLSouth America | 3.30 | — |
BRASouth America | 3.25 | — |
MEXCentral America | 3.20 | — |
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.) |
LKASouthern Asia | 3.13 | — |
NGAWestern Africa | 3.08 | — |
BDIEastern Africa | 3.02 | 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.) |
PRYSouth America | 3.01 | — |
BWASouthern Africa | 2.91 | — |
VUTMelanesia | 2.83 | — |
KAZCentral Asia | 2.77 | — |
SLBMelanesia | 2.76 | — |
ERIEastern Africa | 2.74 | 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.) |
KWTWestern Asia | 2.71 | — |
SGPSouth-eastern Asia | 2.70 | — |
SWZSouthern Africa | 2.69 | 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.) |
BRNSouth-eastern Asia | 2.58 | — |
ETHEastern Africa | 2.54 | 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.) |
MARNorthern Africa | 2.44 | — |
AGOMiddle Africa | 2.27 | — |
CRICentral America | 2.27 | — |
ZMBEastern Africa | 2.21 | — |
SSDEastern Africa | 2.18 | 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.) |
CHLSouth America | 2.16 | — |
LBRWestern Africa | 2.11 | — |
TGOWestern Africa | 2.10 | — |
MDGEastern Africa | 2.06 | — |
GINWestern Africa | 2.02 | — |
BHSCaribbean | 2.00 | — |
MOZEastern Africa | 2.00 | — |
LSOSouthern Africa | 1.99 | — |
ALBSouthern Europe | 1.88 | — |
TTOCaribbean | 1.84 | — |
DOMCaribbean | 1.80 | — |
MUSEastern Africa | 1.79 | — |
ROUEastern Europe | 1.78 | — |
CUBCaribbean | 1.75 | 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.) |
WSMPolynesia | 1.67 | — |
NERWestern Africa | 1.65 | 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.) |
GMBWestern Africa | 1.64 | — |
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.) |
HUNEastern Europe | 1.60 | — |
URYSouth America | 1.59 | — |
MHLMicronesia | 1.55 | — |
PLWMicronesia | 1.55 | — |
CMRMiddle Africa | 1.48 | 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.) |
MLTSouthern Europe | 1.48 | — |
TUNNorthern Africa | 1.48 | — |
MDAEastern Europe | 1.46 | — |
CAFMiddle Africa | 1.45 | 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.) |
SENWestern Africa | 1.44 | — |
TZAEastern Africa | 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.) |
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.) |
UKREastern Europe | 1.43 | — |
TUVPolynesia | 1.42 | — |
BGREastern Europe | 1.41 | — |
IDNSouth-eastern Asia | 1.41 | — |
SRBSouthern Europe | 1.41 | — |
MKDSouthern Europe | 1.39 | — |
JAMCaribbean | 1.38 | — |
COMEastern Africa | 1.35 | — |
RWAEastern Africa | 1.28 | 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.) |
UGAEastern Africa | 1.26 | 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.) |
MNESouthern Europe | 1.23 | — |
GBRNorthern Europe | 1.23 | — |
STPMiddle Africa | 1.16 | — |
HRVSouthern Europe | 1.12 | — |
JPNEastern Asia | 1.11 | — |
NZLAustralia and New Zealand | 1.10 | — |
PNGMelanesia | 1.10 | — |
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.) |
BFAWestern Africa | 1.07 | 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.) |
SYCEastern Africa | 1.07 | — |
VCTCaribbean | 1.03 | — |
COKPolynesia | 0.98 | — |
ZAFSouthern Africa | 0.98 | — |
POLEastern Europe | 0.91 | — |
BIHSouthern Europe | 0.89 | — |
MLIWestern Africa | 0.88 | 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.) |
NAMSouthern Africa | 0.88 | — |
TONPolynesia | 0.87 | — |
GRCSouthern Europe | 0.85 | — |
GEOWestern Asia | 0.82 | — |
SLEWestern Africa | 0.75 | — |
ARMWestern Asia | 0.73 | — |
ATGCaribbean | 0.72 | — |
CIVWestern Africa | 0.72 | — |
BENWestern Africa | 0.71 | — |
GABMiddle Africa | 0.71 | 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.) |
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 | — |
KIRMicronesia | 0.56 | — |
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 | — |
BLZCentral America | 0.53 | — |
GUYSouth America | 0.53 | — |
BELWestern Europe | 0.52 | — |
KGZCentral 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.) |
PRTSouthern Europe | 0.51 | — |
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.) |
FRAWestern Europe | 0.50 | — |
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 | — |
CANNorthern America | 0.36 | — |
NLDWestern Europe | 0.35 | — |
ESPSouthern Europe | 0.33 | — |
DNKNorthern Europe | 0.19 | — |
CZEEastern Europe | 0.18 | — |
SVNSouthern Europe | 0.18 | — |
CHEWestern Europe | 0.18 | — |
AUTWestern Europe | 0.17 | — |
DMACaribbean | 0.17 | — |
LUXWestern Europe | 0.17 | — |
MWIEastern Africa | 0.17 | — |
SURSouth America | 0.17 | — |
MNGEastern Asia | 0.15 | — |
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 | — |
LTUNorthern Europe | 0.00 | — |
NORNorthern Europe | 0.00 | — |
SMRSouthern Europe | 0.00 | — |
SVKEastern Europe | 0.00 | — |
SWENorthern Europe | 0.00 | — |
02In 2024
At either end
The 5 countries at each end of the headline.
Highest
United Arab Emiratesshared10.00
Iranshared10.00
Myanmarshared10.00
Belarus9.92
Vietnam9.14
Lowest
Swedenshared0.00
Slovakiashared0.00
San Marinoshared0.00
Norwayshared0.00
Latviashared0.00
A higher value is the worse result. The middle country reads 1.61. “Shared” marks a value another country also holds.
032023 → 2024
Since 2023
- +0 / −0countries joined / left
- 38values changed, of 186 in both
- 17 · 21rose · fell
- 148unchanged
Rose most
Guinea-Bissau3.17 → 4.50+1.33
South Korea4.54 → 5.63+1.09
Moldova0.69 → 1.46+0.77
Mexico2.46 → 3.20+0.74
North Macedonia0.69 → 1.39+0.70
Fell most
Fiji5.73 → 4.18−1.55
Bangladesh10.00 → 9.06−0.94
Ecuador6.67 → 5.94−0.73
Indonesia2.02 → 1.41−0.61
Philippines5.59 → 5.01−0.58
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 2024.
140 distinct values among 186
Values are stored exactly as published, to 2 decimals. 13 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
186 rows · 10.0 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download labour-rights-compliance-2024-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) (2024). Compliance with Labour Rights, 2024 [data set], describing 2024. As held by Nations Inquiry, https://nationsinquiry.com/datasets/labour-rights-compliance/2024
0610 held
Other years
‹ The year before
Compliance with Labour Rights, 2023186 countries
The year after ›
This is the newest year; the next will get a page of its own.
All of them
Compliance with Labour Rights: every year10 held, with the data dictionary, coverage and licence.
How it has moved, charted by country