Data for 2018
Gender Inequality Index, 2018
2018, as UNDP Human Development Report Office’s 2025 release gives it · stored as published, never rewritten
Gender Inequality Index, 2018 covers 167 countries. Yemen is highest, at 0.825; Norway is lowest, at 0.018. The middle country reads 0.365. Against 2017, 152 values changed (33 up, 119 down), 4 countries joined.
Gender Inequality Index · Data for 2018
HighestYemen
0.825LowestNorway
0.018Shaded by value in five groups of equal size, darkest at the lowest end.
01UNDP Human Development Report Office’s rank
The table
Every country and every column of Gender Inequality Index, 2018, as published. The rank is UNDP Human Development Report Office’s own, as printed. “=” marks a shared position.
Showing 25 of 167 countries · select a heading to sort
| 1 | NORNorthern Europe | 0.018 |
| 2 | DNKNorthern Europe | 0.021 |
| 3 | NLDWestern Europe | 0.027 |
| 4 | SWENorthern Europe | 0.029 |
| 5 | CHEWestern Europe | 0.031 |
| 6 | FINNorthern Europe | 0.038 |
| =7 | ISLNorthern Europe | 0.049 |
| =7 | SGPSouth-eastern Asia | 0.049 |
| 9 | BELWestern Europe | 0.052 |
| 10 | KOREastern Asia | 0.055 |
| 11 | ITASouthern Europe | 0.056 |
| 12 | AUTWestern Europe | 0.060 |
| 13 | ESPSouthern Europe | 0.062 |
| 14 | FRAWestern Europe | 0.065 |
| 15 | SVNSouthern Europe | 0.072 |
| 16 | LUXWestern Europe | 0.074 |
| 17 | CANNorthern America | 0.078 |
| =18 | DEUWestern Europe | 0.080 |
| =18 | PRTSouthern Europe | 0.080 |
| 20 | IRLNorthern Europe | 0.082 |
| 21 | ISRWestern Asia | 0.090 |
| =22 | AUSAustralia and New Zealand | 0.091 |
| =22 | JPNEastern Asia | 0.091 |
| 24 | AREWestern Asia | 0.093 |
| 25 | ESTNorthern Europe | 0.101 |
| 26 | BLREastern Europe | 0.102 |
| 27 | NZLAustralia and New Zealand | 0.103 |
| 28 | GBRNorthern Europe | 0.111 |
| 29 | POLEastern Europe | 0.119 |
| 30 | MNESouthern Europe | 0.122 |
| 31 | HRVSouthern Europe | 0.126 |
| 32 | LTUNorthern Europe | 0.129 |
| =33 | CZEEastern Europe | 0.130 |
| =33 | GRCSouthern Europe | 0.130 |
| 35 | SRBSouthern Europe | 0.132 |
| 36 | ALBSouthern Europe | 0.138 |
| 37 | MKDSouthern Europe | 0.146 |
| 38 | CHNEastern Asia | 0.163 |
| =39 | LVANorthern Europe | 0.168 |
| =39 | QATWestern Asia | 0.168 |
| 41 | RUSEastern Europe | 0.169 |
| 42 | BIHSouthern Europe | 0.170 |
| 43 | MLTSouthern Europe | 0.182 |
| 44 | MYSSouth-eastern Asia | 0.193 |
| 45 | SVKEastern Europe | 0.194 |
| =46 | KAZCentral Asia | 0.195 |
| =46 | USANorthern America | 0.195 |
| 48 | BHRWestern Asia | 0.204 |
| =49 | BGREastern Europe | 0.209 |
| =49 | MDAEastern Europe | 0.209 |
| 51 | GRDCaribbean | 0.213 |
| 52 | CHLSouth America | 0.215 |
| 53 | CYPWestern Asia | 0.230 |
| 54 | TUNNorthern Africa | 0.236 |
| 55 | KWTWestern Asia | 0.240 |
| 56 | ROUEastern Europe | 0.241 |
| =57 | ARMWestern Asia | 0.242 |
| =57 | HUNEastern Europe | 0.242 |
| 59 | CRICentral America | 0.249 |
| 60 | URYSouth America | 0.254 |
| 61 | LBYNorthern Africa | 0.262 |
| 62 | UZBCentral Asia | 0.267 |
| 63 | OMNWestern Asia | 0.269 |
| =64 | BTNSouthern Asia | 0.277 |
| =64 | TTOCaribbean | 0.277 |
| 66 | TURWestern Asia | 0.281 |
| 67 | BRNSouth-eastern Asia | 0.286 |
| 68 | TJKCentral Asia | 0.293 |
| 69 | SAUWestern Asia | 0.298 |
| 70 | GEOWestern Asia | 0.299 |
| 71 | ARGSouth America | 0.301 |
| 72 | CUBCaribbean | 0.303 |
| 73 | FJIMelanesia | 0.313 |
| 74 | MDVSouthern Asia | 0.318 |
| =75 | AZEWestern Asia | 0.320 |
| =75 | VNMSouth-eastern Asia | 0.320 |
| =77 | BRBCaribbean | 0.322 |
| =77 | MNGEastern Asia | 0.322 |
| 79 | BHSCaribbean | 0.331 |
| 80 | LCACaribbean | 0.332 |
| 81 | CPVWestern Africa | 0.357 |
| 82 | MUSEastern Africa | 0.363 |
| =83 | MEXCentral America | 0.365 |
| =83 | PERSouth America | 0.365 |
| =83 | LKASouthern Asia | 0.365 |
| 86 | SLVCentral America | 0.368 |
| 87 | KGZCentral Asia | 0.372 |
| =88 | LBNWestern Asia | 0.381 |
| =88 | PHLSouth-eastern Asia | 0.381 |
| 90 | DZANorthern Africa | 0.383 |
| 91 | JAMCaribbean | 0.384 |
| 92 | THASouth-eastern Asia | 0.385 |
| 93 | ECUSouth America | 0.391 |
| 94 | ZAFSouthern Africa | 0.395 |
| 95 | BRASouth America | 0.401 |
| 96 | PANCentral America | 0.404 |
| 97 | COLSouth America | 0.410 |
| 98 | RWAEastern Africa | 0.411 |
| 99 | SURSouth America | 0.412 |
| 100 | EGYNorthern Africa | 0.416 |
| 101 | NICCentral America | 0.423 |
| =102 | TLSSouth-eastern Asia | 0.425 |
| =102 | TONPolynesia | 0.425 |
| 104 | BOLSouth America | 0.430 |
| 105 | JORWestern Asia | 0.434 |
| 106 | HNDCentral America | 0.435 |
| 107 | PRYSouth America | 0.440 |
| =108 | GUYSouth America | 0.444 |
| =108 | IDNSouth-eastern Asia | 0.444 |
| 110 | MARNorthern Africa | 0.449 |
| 111 | DOMCaribbean | 0.450 |
| 112 | NAMSouthern Africa | 0.453 |
| 113 | IRNSouthern Asia | 0.455 |
| 114 | BLZCentral America | 0.466 |
| 115 | LAOSouth-eastern Asia | 0.484 |
| 116 | INDSouthern Asia | 0.487 |
| =117 | SYRWestern Asia | 0.488 |
| =117 | VENSouth America | 0.488 |
| 119 | BWASouthern Africa | 0.492 |
| 120 | KHMSouth-eastern Asia | 0.498 |
| 121 | DJIEastern Africa | 0.499 |
| 122 | MMRSouth-eastern Asia | 0.501 |
| 123 | MOZEastern Africa | 0.502 |
| 124 | STPMiddle Africa | 0.503 |
| 125 | BDIEastern Africa | 0.507 |
| 126 | SENWestern Africa | 0.508 |
| 127 | GTMCentral America | 0.509 |
| 128 | ETHEastern Africa | 0.513 |
| 129 | TZAEastern Africa | 0.518 |
| 130 | NPLSouthern Asia | 0.519 |
| 131 | ZWEEastern Africa | 0.520 |
| 132 | SWZSouthern Africa | 0.525 |
| 133 | UGAEastern Africa | 0.528 |
| 134 | ZMBEastern Africa | 0.529 |
| 135 | GABMiddle Africa | 0.531 |
| 136 | BGDSouthern Asia | 0.532 |
| 137 | GHAWestern Africa | 0.534 |
| 138 | KENEastern Africa | 0.538 |
| 139 | AGOMiddle Africa | 0.539 |
| 140 | LSOSouthern Africa | 0.559 |
| 141 | PAKSouthern Asia | 0.563 |
| 142 | CMRMiddle Africa | 0.566 |
| 143 | SLBMelanesia | 0.568 |
| 144 | IRQWestern Asia | 0.573 |
| 145 | COMEastern Africa | 0.580 |
| 146 | SDNNorthern Africa | 0.583 |
| 147 | TGOWestern Africa | 0.587 |
| 148 | BFAWestern Africa | 0.589 |
| 149 | GMBWestern Africa | 0.594 |
| 150 | MWIEastern Africa | 0.596 |
| 151 | COGMiddle Africa | 0.608 |
| 152 | SLEWestern Africa | 0.615 |
| 153 | MRTWestern Africa | 0.618 |
| 154 | CIVWestern Africa | 0.622 |
| 155 | GNBWestern Africa | 0.623 |
| 156 | HTICaribbean | 0.629 |
| 157 | NERWestern Africa | 0.636 |
| 158 | CODMiddle Africa | 0.638 |
| 159 | BENWestern Africa | 0.645 |
| 160 | LBRWestern Africa | 0.649 |
| 161 | MLIWestern Africa | 0.666 |
| 162 | NGAWestern Africa | 0.672 |
| 163 | AFGSouthern Asia | 0.677 |
| 164 | TCDMiddle Africa | 0.686 |
| 165 | VUTMelanesia | 0.799 |
| 166 | PNGMelanesia | 0.818 |
| 167 | YEMWestern Asia | 0.825 |
02In 2018
At either end
The 5 countries at each end of the headline.
Highest
- #167
Yemen0.825
- #166
Papua New Guinea0.818
- #165
Vanuatu0.799
- #164
Chad0.686
- #163
Afghanistan0.677
Lowest
- #1
Norway0.018
- #2
Denmark0.021
- #3
Netherlands0.027
- #4
Sweden0.029
- #5
Switzerland0.031
A higher value is the worse result. The middle country reads 0.365. “Shared” marks a value another country also holds.
032017 → 2018
Since 2017
What changed between 2017 and this one: who joined or left, and how far the headline moved.
- +4 / −0countries joined / left
- 152values changed, of 163 in both
- 33 · 119rose · fell
- 11unchanged
Rose most
Botswana0.459 → 0.492+0.033
Slovenia0.053 → 0.072+0.019
Cyprus0.212 → 0.230+0.018
Luxembourg0.058 → 0.074+0.016
São Tomé and Príncipe0.491 → 0.503+0.012
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 2025 release
Every year in this series comes from UNDP Human Development Report Office’s 2025 release, recalculated on one method. It can differ from what was first published for 2018.
150 distinct values among 167
Values are stored exactly as published, to 3 decimals. 3 countries share 0.365. Countries sharing a value share a position too.
The rank is UNDP Human Development Report Office’s
Printed as the publisher ranked the countries; never re-ranked here.
Nothing missing
Every one of the 167 countries has every column.
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
167 rows · 5.2 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download gender-inequality-2018-nations-inquiry.csv - ↗
The publisher’s original
UNDP Human Development Report Office’s own file, on its own site.
HDR25_Composite_indices_complete_time_series.csv
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 3.0 IGO · what it allows, in plain words
Cite this edition
UNDP Human Development Report Office (2018). Gender Inequality Index, 2018 [data set], describing 2018. As held by Nations Inquiry, https://nationsinquiry.com/datasets/gender-inequality/2018
0634 held
Other years
‹ The year before
Gender Inequality Index, 2017163 countries
The year after ›
Gender Inequality Index, 2019169 countries
All of them
Gender Inequality Index: every year34 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Gender Inequality Index, 2018: questions and answers
Which country has the highest Gender Inequality Index in Gender Inequality Index, 2018?
Yemen, at 0.825, of the 167 countries in the file.
What year does Gender Inequality Index, 2018 describe?
2018.
How many countries does Gender Inequality Index, 2018 cover?
167.
Where can I download Gender Inequality Index, 2018?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Gender Inequality Index, 2018 the newest?
No. The newest held here is Gender Inequality Index, 2023.