Data for 2020
Gini Index of Monthly Earnings, 2020
2020, as ILO’s 2026 release gives it · stored as published, never rewritten
This measures how unequally pay is spread among a country’s employees, on a scale from 0, where every employee earns the same, to 1, where one employee earns everything. It is the wage part of inequality, computed by the International Labour Organization from earnings surveys.
Gini Index of Monthly Earnings, 2020 covers 76 countries. Botswana is highest, at 0.605; Slovakia is lowest, at 0.200. The middle country reads 0.345. Against 2019, 65 values changed (34 up, 31 down), 7 countries joined, 25 left.
Gini Index of Monthly Earnings · Data for 2020
HighestBotswana
0.605LowestSlovakia
0.200Shaded by value in five groups of equal size, darkest at the lowest end.
01Position · derived
The table
Every country and every column of Gini Index of Monthly Earnings, 2020, 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 76 countries · select a heading to sort
| derived | |||
|---|---|---|---|
| 1 | BWASouthern Africa | 0.605 | — |
| 2 | BDIEastern Africa | 0.566 | — |
| =3 | CRICentral America | 0.520 | — |
| =3 | ZMBEastern Africa | 0.520 | — |
| 5 | AGOMiddle Africa | 0.493 | — |
| 6 | BRASouth America | 0.461 | — |
| 7 | PRICaribbean | 0.456 | — |
| 8 | MLIWestern Africa | 0.453 | — |
| 9 | INDSouthern Asia | 0.450 | — |
| 10 | TZAEastern Africa | 0.448 | Break in series |
| 11 | HNDCentral America | 0.447 | Break in series |
| 12 | MUSEastern Africa | 0.441 | Break in series |
| 13 | CHLSouth America | 0.440 | — |
| 14 | IDNSouth-eastern Asia | 0.419 | — |
| 15 | PANCentral America | 0.418 | Break in series |
| 16 | PERSouth America | 0.410 | Break in series |
| 17 | DOMCaribbean | 0.408 | Break in series |
| 18 | IRLNorthern Europe | 0.396 | — |
| 19 | PAKSouthern Asia | 0.393 | Break in series |
| 20 | ARGSouth America | 0.392 | — |
| 21 | BGREastern Europe | 0.391 | — |
| 22 | ECUSouth America | 0.384 | Break in series |
| 23 | THASouth-eastern Asia | 0.375 | — |
| 24 | PSEWestern Asia | 0.374 | — |
| 25 | DEUWestern Europe | 0.371 | — |
| 26 | USANorthern America | 0.370 | Break in series |
| 27 | URYSouth America | 0.369 | Break in series |
| 28 | LKASouthern Asia | 0.366 | — |
| 29 | CYPWestern Asia | 0.364 | — |
| 30 | GBRNorthern Europe | 0.363 | — |
| =31 | GEOWestern Asia | 0.361 | — |
| =31 | LVANorthern Europe | 0.361 | — |
| =33 | AUSAustralia and New Zealand | 0.360 | — |
| =33 | ESTNorthern Europe | 0.360 | — |
| 35 | LTUNorthern Europe | 0.356 | — |
| 36 | LUXWestern Europe | 0.353 | — |
| 37 | MEXCentral America | 0.351 | Break in series |
| =38 | ESPSouthern Europe | 0.345 | — |
| =38 | CHEWestern Europe | 0.345 | — |
| 40 | AFGSouthern Asia | 0.344 | Break in series |
| 41 | NLDWestern Europe | 0.336 | — |
| =42 | BTNSouthern Asia | 0.329 | — |
| =42 | CANNorthern America | 0.329 | — |
| =42 | MLTSouthern Europe | 0.329 | — |
| =42 | PHLSouth-eastern Asia | 0.329 | — |
| 46 | AUTWestern Europe | 0.322 | — |
| 47 | BOLSouth America | 0.315 | — |
| 48 | ISLNorthern Europe | 0.312 | — |
| 49 | GUYSouth America | 0.306 | — |
| 50 | ARMWestern Asia | 0.295 | — |
| 51 | TURWestern Asia | 0.290 | — |
| 52 | POLEastern Europe | 0.289 | — |
| 53 | FRAWestern Europe | 0.288 | — |
| =54 | DNKNorthern Europe | 0.286 | — |
| =54 | FINNorthern Europe | 0.286 | — |
| =54 | NORNorthern Europe | 0.286 | — |
| 57 | SVNSouthern Europe | 0.284 | — |
| 58 | HRVSouthern Europe | 0.283 | — |
| 59 | HUNEastern Europe | 0.280 | — |
| 60 | BELWestern Europe | 0.277 | — |
| =61 | KHMSouth-eastern Asia | 0.274 | — |
| =61 | SWENorthern Europe | 0.274 | — |
| 63 | MDAEastern Europe | 0.273 | — |
| =64 | BIHSouthern Europe | 0.271 | Break in series |
| =64 | MMRSouth-eastern Asia | 0.271 | — |
| 66 | MNGEastern Asia | 0.270 | — |
| 67 | SRBSouthern Europe | 0.265 | — |
| 68 | CZEEastern Europe | 0.258 | — |
| 69 | VNMSouth-eastern Asia | 0.252 | — |
| 70 | ROUEastern Europe | 0.249 | — |
| 71 | PRTSouthern Europe | 0.248 | — |
| 72 | EGYNorthern Africa | 0.237 | — |
| 73 | GRCSouthern Europe | 0.229 | — |
| 74 | JORWestern Asia | 0.217 | — |
| 75 | ITASouthern Europe | 0.216 | — |
| 76 | SVKEastern Europe | 0.200 | — |
02In 2020
At either end
The 5 countries at each end of the headline.
032019 → 2020
Since 2019
- +7 / −25countries joined / left
- 65values changed, of 69 in both
- 34 · 31rose · fell
- 4unchanged
Rose most
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 2020.
65 distinct values among 76
Values are stored exactly as published, to 3 decimals. 4 countries share 0.329. Countries sharing a value share a position too.
63 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
76 rows · 3.0 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download earnings-gini-2020-nations-inquiry.csv - ↗
The publisher’s original
ILO’s own file, on its own site.
https://rplumber.ilo.org/data/indicator/?id=EAR_EMTG_SEX_NB&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) (2020). Gini Index of Monthly Earnings, 2020 [data set], describing 2020. As held by Nations Inquiry, https://nationsinquiry.com/datasets/earnings-gini/2020
0616 held
Other years
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Gini Index of Monthly Earnings, 201994 countries
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Gini Index of Monthly Earnings, 202180 countries
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Gini Index of Monthly Earnings: every year16 held, with the data dictionary, coverage and licence.
How it has moved, charted by country