Data for 2024
Labour Income Share, 2024
2024, as ILO’s 2026 release gives it · stored as published, never rewritten
Labour Income Share, 2024 covers 182 countries. Nigeria is highest, at 75.138; Venezuela is lowest, at 9.611. The middle country reads 46.060. Against 2023, 182 values changed (95 up, 87 down), 2 left.
Labour Income Share · Data for 2024
HighestNigeria
75.138LowestVenezuela
9.611Shaded by value in five groups of equal size, darkest at the better end.
01Position · derived
The table
Every country and every column of Labour Income Share, 2024, 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 182 countries · select a heading to sort
| derived | |||
|---|---|---|---|
| 1 | NGAWestern Africa | 75.138 | — |
| 2 | CHEWestern Europe | 71.282 | Model-based extrapolation |
| 3 | LVANorthern Europe | 66.227 | Model-based extrapolation |
| 4 | ISLNorthern Europe | 64.153 | Imputation |
| 5 | BELWestern Europe | 63.496 | Model-based extrapolation |
| 6 | HRVSouthern Europe | 62.756 | — |
| 7 | AUTWestern Europe | 62.066 | Model-based extrapolation |
| 8 | DEUWestern Europe | 62.042 | — |
| 9 | MOZEastern Africa | 61.984 | Imputation |
| 10 | INDSouthern Asia | 61.925 | Model-based extrapolation |
| 11 | VUTMelanesia | 61.076 | Model-based extrapolation |
| 12 | ZWEEastern Africa | 60.789 | — |
| 13 | NLDWestern Europe | 60.632 | — |
| 14 | SVNSouthern Europe | 60.578 | Model-based extrapolation |
| 15 | MDAEastern Europe | 60.341 | Model-based extrapolation |
| 16 | FRAWestern Europe | 60.040 | Model-based extrapolation |
| 17 | BRASouth America | 59.281 | Model-based extrapolation |
| 18 | CANNorthern America | 59.020 | — |
| 19 | ESPSouthern Europe | 58.935 | Model-based extrapolation |
| 20 | AUSAustralia and New Zealand | 58.802 | Model-based extrapolation |
| 21 | ESTNorthern Europe | 58.721 | Imputation |
| 22 | ECUSouth America | 58.278 | Model-based extrapolation |
| 23 | IDNSouth-eastern Asia | 58.141 | Model-based extrapolation |
| 24 | KOREastern Asia | 58.128 | Imputation |
| 25 | PRICaribbean | 58.063 | Imputation |
| 26 | ITASouthern Europe | 57.813 | — |
| 27 | HNDCentral America | 57.421 | — |
| 28 | PRTSouthern Europe | 56.902 | — |
| 29 | GBRNorthern Europe | 56.406 | Model-based extrapolation |
| 30 | DNKNorthern Europe | 56.347 | — |
| 31 | URYSouth America | 56.075 | Model-based extrapolation |
| 32 | VIRCaribbean | 55.978 | Imputation |
| 33 | USANorthern America | 55.452 | Imputation |
| 34 | BRBCaribbean | 55.425 | Imputation |
| 35 | CRICentral America | 55.299 | — |
| 36 | LTUNorthern Europe | 55.197 | Model-based extrapolation |
| 37 | BOLSouth America | 55.192 | Model-based extrapolation |
| 38 | TZAEastern Africa | 54.873 | — |
| 39 | GUYSouth America | 54.816 | Imputation |
| 40 | JPNEastern Asia | 54.809 | Model-based extrapolation |
| 41 | NZLAustralia and New Zealand | 54.752 | Imputation |
| 42 | LSOSouthern Africa | 54.348 | Model-based extrapolation |
| 43 | SWENorthern Europe | 54.330 | — |
| 44 | JAMCaribbean | 54.171 | Model-based extrapolation |
| 45 | BLREastern Europe | 54.162 | Imputation |
| 46 | FINNorthern Europe | 53.993 | — |
| 47 | NCLMelanesia | 53.675 | Imputation |
| 48 | SVKEastern Europe | 53.494 | — |
| 49 | BIHSouthern Europe | 53.416 | Model-based extrapolation |
| 50 | LUXWestern Europe | 53.344 | Model-based extrapolation |
| 51 | HKGEastern Asia | 53.342 | Imputation |
| 52 | CZEEastern Europe | 53.234 | Model-based extrapolation |
| 53 | SRBSouthern Europe | 53.208 | Model-based extrapolation |
| 54 | ZAFSouthern Africa | 52.836 | Imputation |
| 55 | HTICaribbean | 52.401 | Imputation |
| 56 | TWNEastern Asia | 51.902 | Imputation |
| 57 | CHLSouth America | 51.806 | Model-based extrapolation |
| 58 | GUMMicronesia | 51.777 | Imputation |
| 59 | PYFPolynesia | 51.548 | Imputation |
| 60 | MNESouthern Europe | 51.374 | Imputation |
| 61 | GEOWestern Asia | 51.318 | Imputation |
| 62 | GRCSouthern Europe | 51.261 | Model-based extrapolation |
| 63 | CHNEastern Asia | 51.165 | Imputation |
| 64 | BGREastern Europe | 50.812 | — |
| 65 | SLVCentral America | 50.736 | — |
| 66 | COLSouth America | 50.634 | — |
| 67 | ARGSouth America | 50.120 | — |
| 68 | HUNEastern Europe | 49.989 | Model-based extrapolation |
| 69 | ISRWestern Asia | 49.981 | Imputation |
| 70 | PAKSouthern Asia | 49.874 | Imputation |
| 71 | SURSouth America | 49.860 | Imputation |
| 72 | TUNNorthern Africa | 49.408 | Model-based extrapolation |
| 73 | NPLSouthern Asia | 49.119 | Model-based extrapolation |
| 74 | BGDSouthern Asia | 48.781 | Imputation |
| 75 | BTNSouthern Asia | 48.713 | Model-based extrapolation |
| 76 | MMRSouth-eastern Asia | 48.523 | Imputation |
| 77 | LAOSouth-eastern Asia | 48.519 | Model-based extrapolation |
| 78 | AZEWestern Asia | 48.126 | Imputation |
| 79 | CYPWestern Asia | 48.023 | — |
| 80 | DOMCaribbean | 48.016 | Model-based extrapolation |
| 81 | MLTSouthern Europe | 47.933 | Imputation |
| 82 | POLEastern Europe | 47.825 | Model-based extrapolation |
| 83 | RUSEastern Europe | 47.524 | Imputation |
| 84 | LCACaribbean | 47.207 | Imputation |
| 85 | NAMSouthern Africa | 47.086 | — |
| 86 | VNMSouth-eastern Asia | 47.033 | Imputation |
| 87 | NICCentral America | 47.030 | Model-based extrapolation |
| 88 | SLBMelanesia | 46.985 | Imputation |
| 89 | THASouth-eastern Asia | 46.867 | Model-based extrapolation |
| 90 | VCTCaribbean | 46.613 | Imputation |
| 91 | TKMCentral Asia | 46.131 | Imputation |
| 92 | KHMSouth-eastern Asia | 45.989 | Imputation |
| 93 | JORWestern Asia | 45.977 | Model-based extrapolation |
| 94 | BLZCentral America | 45.952 | Imputation |
| 95 | PHLSouth-eastern Asia | 45.598 | Model-based extrapolation |
| 96 | PRYSouth America | 45.579 | Model-based extrapolation |
| 97 | NORNorthern Europe | 45.376 | Imputation |
| 98 | MKDSouthern Europe | 45.353 | Imputation |
| 99 | TTOCaribbean | 44.946 | Model-based extrapolation |
| 100 | LBYNorthern Africa | 44.858 | Imputation |
| 101 | ROUEastern Europe | 44.592 | — |
| 102 | CMRMiddle Africa | 44.581 | Model-based extrapolation |
| 103 | UZBCentral Asia | 44.506 | Imputation |
| 104 | ALBSouthern Europe | 44.355 | Model-based extrapolation |
| 105 | STPMiddle Africa | 44.258 | Imputation |
| 106 | COGMiddle Africa | 44.140 | Imputation |
| 107 | ARMWestern Asia | 44.105 | Model-based extrapolation |
| 108 | TONPolynesia | 43.827 | Imputation |
| 109 | GTMCentral America | 43.693 | — |
| 110 | AGOMiddle Africa | 43.598 | Imputation |
| 111 | BFAWestern Africa | 43.116 | Model-based extrapolation |
| 112 | SGPSouth-eastern Asia | 42.784 | Imputation |
| 113 | MDVSouthern Asia | 42.749 | Imputation |
| 114 | PERSouth America | 42.681 | Model-based extrapolation |
| 115 | FJIMelanesia | 42.597 | Imputation |
| 116 | DJIEastern Africa | 42.537 | Imputation |
| 117 | COMEastern Africa | 42.470 | Imputation |
| 118 | SENWestern Africa | 42.279 | Model-based extrapolation |
| 119 | GHAWestern Africa | 42.155 | Imputation |
| 120 | TGOWestern Africa | 42.153 | Model-based extrapolation |
| 121 | WSMPolynesia | 41.838 | Imputation |
| 122 | GMBWestern Africa | 41.758 | Imputation |
| 123 | CPVWestern Africa | 41.673 | Model-based extrapolation |
| 124 | SWZSouthern Africa | 41.607 | Imputation |
| =125 | CUBCaribbean | 41.578 | Imputation |
| =125 | KAZCentral Asia | 41.578 | Imputation |
| 127 | IRQWestern Asia | 41.425 | Imputation |
| 128 | MUSEastern Africa | 41.374 | — |
| 129 | TURWestern Asia | 41.188 | Model-based extrapolation |
| 130 | MARNorthern Africa | 41.118 | Imputation |
| 131 | AFGSouthern Asia | 40.823 | Imputation |
| 132 | GNQMiddle Africa | 40.544 | Imputation |
| 133 | MYSSouth-eastern Asia | 40.528 | Imputation |
| 134 | BWASouthern Africa | 40.354 | Model-based extrapolation |
| 135 | BENWestern Africa | 39.855 | Model-based extrapolation |
| 136 | EGYNorthern Africa | 39.363 | Model-based extrapolation |
| 137 | RWAEastern Africa | 39.356 | Imputation |
| 138 | TCDMiddle Africa | 39.076 | Imputation |
| 139 | KWTWestern Asia | 38.980 | Imputation |
| 140 | BDIEastern Africa | 38.735 | Model-based extrapolation |
| 141 | PRKEastern Asia | 38.610 | Imputation |
| 142 | ETHEastern Africa | 38.310 | Imputation |
| 143 | MLIWestern Africa | 37.875 | Model-based extrapolation |
| 144 | MDGEastern Africa | 37.793 | Imputation |
| 145 | MEXCentral America | 37.778 | Model-based extrapolation |
| 146 | UGAEastern Africa | 37.609 | Imputation |
| 147 | CODMiddle Africa | 37.435 | Imputation |
| 148 | GNBWestern Africa | 37.375 | Imputation |
| 149 | SOMEastern Africa | 37.364 | Imputation |
| 150 | MWIEastern Africa | 37.232 | Imputation |
| 151 | AREWestern Asia | 37.059 | Imputation |
| 152 | SLEWestern Africa | 36.879 | Model-based extrapolation |
| 153 | GINWestern Africa | 36.385 | Imputation |
| 154 | ERIEastern Africa | 35.910 | Imputation |
| 155 | LBRWestern Africa | 35.822 | Imputation |
| 156 | PANCentral America | 35.757 | Model-based extrapolation |
| 157 | MRTWestern Africa | 35.184 | Model-based extrapolation |
| 158 | BHSCaribbean | 34.270 | Imputation |
| 159 | IRNSouthern Asia | 34.227 | Imputation |
| 160 | SYRWestern Asia | 34.214 | Imputation |
| 161 | KENEastern Africa | 33.319 | — |
| 162 | MNGEastern Asia | 32.969 | Model-based extrapolation |
| 163 | PNGMelanesia | 32.785 | Imputation |
| 164 | YEMWestern Asia | 32.392 | Imputation |
| 165 | BRNSouth-eastern Asia | 32.365 | — |
| 166 | KGZCentral Asia | 32.201 | Imputation |
| 167 | IRLNorthern Europe | 31.571 | Model-based extrapolation |
| 168 | CAFMiddle Africa | 31.388 | Imputation |
| 169 | OMNWestern Asia | 31.202 | Imputation |
| 170 | TLSSouth-eastern Asia | 31.090 | Model-based extrapolation |
| 171 | CIVWestern Africa | 31.080 | Model-based extrapolation |
| 172 | SAUWestern Asia | 30.778 | Imputation |
| 173 | DZANorthern Africa | 30.373 | Imputation |
| 174 | MACEastern Asia | 29.831 | Imputation |
| 175 | GABMiddle Africa | 28.488 | Imputation |
| 176 | LKASouthern Asia | 28.160 | Model-based extrapolation |
| 177 | QATWestern Asia | 27.829 | Imputation |
| 178 | BHRWestern Asia | 27.549 | Imputation |
| 179 | NERWestern Africa | 26.798 | Model-based extrapolation |
| 180 | ZMBEastern Africa | 26.336 | Model-based extrapolation |
| 181 | TJKCentral Asia | 18.490 | Model-based extrapolation |
| 182 | VENSouth America | 9.611 | Model-based extrapolation |
02In 2024
At either end
The 5 countries at each end of the headline.
Highest
- 1
Nigeria75.138
- 2
Switzerland71.282
- 3
Latvia66.227
- 4
Iceland64.153
- 5
Belgium63.496
Lowest
- 182
Venezuela9.611
- 181
Tajikistan18.490
- 180
Zambia26.336
- 179
Niger26.798
- 178
Bahrain27.549
A higher value is the better result. The middle country reads 46.060. “Shared” marks a value another country also holds.
032023 → 2024
Since 2023
What changed between 2023 and this one: who joined or left, and how far the headline moved.
- +0 / −2countries joined / left
- 182values changed, of 182 in both
- 95 · 87rose · fell
- 0unchanged
Rose most
Fell most
Zimbabwe67.516 → 60.789−6.727
Georgia55.325 → 51.318−4.007
Chile54.139 → 51.806−2.333
Ireland33.715 → 31.571−2.144
United States Virgin Islands57.819 → 55.978−1.841
Both years come from the same release, so a difference here is a change in the data, not a revision of it. Every country’s full history is charted on the statistic page.
04Caveats
Read before you use
What this edition’s numbers are and are not, worked out from the file itself.
One year of the 2026 release
Every year in this series comes from ILO’s 2026 release, recalculated on one method. It can differ from what was first published for 2024.
181 distinct values among 182
Values are stored exactly as published, to 3 decimals. 2 countries share 41.578. Countries sharing a value share a position too.
The position is ours
ILO publishes values only; the order is this site’s.
26 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: Model-based extrapolation, Imputation.
05The files
Download and cite
The table as a file, digit for digit, what this site changed, and a citation for this edition.
- .csv
For a spreadsheet or code
182 rows · 7.7 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download labour-income-share-2024-nations-inquiry.csv - ↗
The publisher’s original
ILO’s own file, on its own site.
https://rplumber.ilo.org/data/indicator/?id=LAP_2GDP_NOC_RT&format=.csv&channel=ilostat
What this site changed: Reshaped into one row per country: regional and income-group totals are left out, only the columns listed are kept, each row gets its ISO 3166 code, and some country names are brought to one spelling. No value is recalculated, rescaled or rounded.
Licence: CC BY 4.0 · what it allows, in plain words
Cite this edition
International Labour Organization (ILO) (2024). Labour Income Share, 2024 [data set], describing 2024. As held by Nations Inquiry, https://nationsinquiry.com/datasets/labour-income-share/2024
0622 held
Other years
‹ The year before
Labour Income Share, 2023184 countries
The year after ›
Labour Income Share, 2025182 countries
All of them
Labour Income Share: every year22 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Labour Income Share, 2024: questions and answers
Which country has the highest labour income share in Labour Income Share, 2024?
Nigeria, at 75.138, of the 182 countries in the file.
What year does Labour Income Share, 2024 describe?
2024.
How many countries does Labour Income Share, 2024 cover?
182.
Where can I download Labour Income Share, 2024?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Labour Income Share, 2024 the newest?
No. The newest held here is Labour Income Share, 2025.