Data for 2015
Gender Inequality Index, 2015
2015, as UNDP Human Development Report Office’s 2025 release gives it · stored as published, never rewritten
Gender Inequality Index, 2015 covers 160 countries. Yemen is highest, at 0.824; 2 countries share the lowest reading, 0.034. The middle country reads 0.381. Against 2014, 150 values changed (27 up, 123 down), 3 countries joined.
Gender Inequality Index · Data for 2015
HighestYemen
0.824Lowest2 countries share it
0.034Shaded 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, 2015, as published. The rank is UNDP Human Development Report Office’s own, as printed. “=” marks a shared position.
Showing 25 of 160 countries · select a heading to sort
| =1 | DNKNorthern Europe | 0.034 |
| =1 | NLDWestern Europe | 0.034 |
| =3 | SWENorthern Europe | 0.038 |
| =3 | CHEWestern Europe | 0.038 |
| 5 | NORNorthern Europe | 0.040 |
| 6 | SGPSouth-eastern Asia | 0.050 |
| 7 | FINNorthern Europe | 0.056 |
| =8 | BELWestern Europe | 0.062 |
| =8 | ISLNorthern Europe | 0.062 |
| =8 | SVNSouthern Europe | 0.062 |
| 11 | KOREastern Asia | 0.067 |
| 12 | LUXWestern Europe | 0.068 |
| 13 | ESPSouthern Europe | 0.074 |
| 14 | DEUWestern Europe | 0.076 |
| 15 | ITASouthern Europe | 0.079 |
| =16 | AUTWestern Europe | 0.083 |
| =16 | PRTSouthern Europe | 0.083 |
| 18 | FRAWestern Europe | 0.096 |
| 19 | ISRWestern Asia | 0.103 |
| 20 | CANNorthern America | 0.107 |
| 21 | AUSAustralia and New Zealand | 0.109 |
| 22 | IRLNorthern Europe | 0.111 |
| 23 | AREWestern Asia | 0.114 |
| 24 | JPNEastern Asia | 0.118 |
| 25 | GRCSouthern Europe | 0.125 |
| =26 | BLREastern Europe | 0.128 |
| =26 | ESTNorthern Europe | 0.128 |
| 28 | GBRNorthern Europe | 0.129 |
| 29 | POLEastern Europe | 0.133 |
| 30 | NZLAustralia and New Zealand | 0.136 |
| 31 | LTUNorthern Europe | 0.138 |
| 32 | CZEEastern Europe | 0.140 |
| 33 | HRVSouthern Europe | 0.143 |
| 34 | MNESouthern Europe | 0.145 |
| 35 | SRBSouthern Europe | 0.155 |
| 36 | MKDSouthern Europe | 0.162 |
| 37 | ALBSouthern Europe | 0.179 |
| 38 | MLTSouthern Europe | 0.189 |
| 39 | SVKEastern Europe | 0.191 |
| 40 | CHNEastern Asia | 0.202 |
| 41 | RUSEastern Europe | 0.206 |
| 42 | CYPWestern Asia | 0.209 |
| =43 | KAZCentral Asia | 0.217 |
| =43 | USANorthern America | 0.217 |
| 45 | BGREastern Europe | 0.218 |
| 46 | LVANorthern Europe | 0.225 |
| 47 | MYSSouth-eastern Asia | 0.233 |
| 48 | MDAEastern Europe | 0.234 |
| 49 | BHRWestern Asia | 0.244 |
| 50 | HUNEastern Europe | 0.261 |
| 51 | TUNNorthern Africa | 0.265 |
| 52 | LBYNorthern Africa | 0.268 |
| 53 | UZBCentral Asia | 0.276 |
| 54 | CRICentral America | 0.282 |
| 55 | CHLSouth America | 0.287 |
| 56 | TTOCaribbean | 0.288 |
| =57 | ROUEastern Europe | 0.290 |
| =57 | URYSouth America | 0.290 |
| 59 | KWTWestern Asia | 0.300 |
| =60 | ARMWestern Asia | 0.301 |
| =60 | SAUWestern Asia | 0.301 |
| 62 | CUBCaribbean | 0.307 |
| 63 | OMNWestern Asia | 0.315 |
| 64 | TURWestern Asia | 0.332 |
| 65 | FJIMelanesia | 0.334 |
| 66 | TJKCentral Asia | 0.335 |
| 67 | MNGEastern Asia | 0.336 |
| 68 | ARGSouth America | 0.338 |
| 69 | VNMSouth-eastern Asia | 0.339 |
| =70 | AZEWestern Asia | 0.341 |
| =70 | BRBCaribbean | 0.341 |
| 72 | GEOWestern Asia | 0.360 |
| 73 | LCACaribbean | 0.362 |
| 74 | CPVWestern Africa | 0.363 |
| 75 | MDVSouthern Asia | 0.364 |
| 76 | BHSCaribbean | 0.366 |
| 77 | MUSEastern Africa | 0.373 |
| =78 | SLVCentral America | 0.378 |
| =78 | LKASouthern Asia | 0.378 |
| 80 | MEXCentral America | 0.379 |
| 81 | KGZCentral Asia | 0.383 |
| 82 | BTNSouthern Asia | 0.385 |
| =83 | ECUSouth America | 0.391 |
| =83 | PERSouth America | 0.391 |
| 85 | DZANorthern Africa | 0.397 |
| =86 | PHLSouth-eastern Asia | 0.403 |
| =86 | THASouth-eastern Asia | 0.403 |
| 88 | JAMCaribbean | 0.409 |
| 89 | COLSouth America | 0.417 |
| 90 | PANCentral America | 0.419 |
| 91 | RWAEastern Africa | 0.420 |
| 92 | LBNWestern Asia | 0.424 |
| 93 | ZAFSouthern Africa | 0.425 |
| 94 | BLZCentral America | 0.429 |
| 95 | NICCentral America | 0.431 |
| 96 | HNDCentral America | 0.432 |
| 97 | BRASouth America | 0.436 |
| 98 | BOLSouth America | 0.441 |
| 99 | SURSouth America | 0.442 |
| 100 | TLSSouth-eastern Asia | 0.449 |
| 101 | PRYSouth America | 0.452 |
| 102 | DOMCaribbean | 0.466 |
| 103 | MARNorthern Africa | 0.469 |
| =104 | IDNSouth-eastern Asia | 0.477 |
| =104 | JORWestern Asia | 0.477 |
| 106 | NAMSouthern Africa | 0.482 |
| 107 | SYRWestern Asia | 0.484 |
| 108 | VENSouth America | 0.492 |
| 109 | MMRSouth-eastern Asia | 0.495 |
| 110 | INDSouthern Asia | 0.496 |
| 111 | LAOSouth-eastern Asia | 0.498 |
| 112 | STPMiddle Africa | 0.502 |
| 113 | BWASouthern Africa | 0.505 |
| 114 | NPLSouthern Asia | 0.511 |
| 115 | BDIEastern Africa | 0.514 |
| 116 | MOZEastern Africa | 0.517 |
| 117 | KHMSouth-eastern Asia | 0.519 |
| 118 | SENWestern Africa | 0.528 |
| 119 | GTMCentral America | 0.529 |
| 120 | GABMiddle Africa | 0.530 |
| 121 | IRNSouthern Asia | 0.532 |
| =122 | ETHEastern Africa | 0.533 |
| =122 | ZWEEastern Africa | 0.533 |
| 124 | TZAEastern Africa | 0.536 |
| 125 | UGAEastern Africa | 0.539 |
| 126 | EGYNorthern Africa | 0.542 |
| 127 | SWZSouthern Africa | 0.547 |
| 128 | AGOMiddle Africa | 0.549 |
| 129 | KENEastern Africa | 0.551 |
| 130 | GHAWestern Africa | 0.553 |
| 131 | ZMBEastern Africa | 0.561 |
| =132 | BGDSouthern Asia | 0.563 |
| =132 | PAKSouthern Asia | 0.563 |
| 134 | LSOSouthern Africa | 0.568 |
| 135 | CMRMiddle Africa | 0.573 |
| 136 | SDNNorthern Africa | 0.577 |
| =137 | IRQWestern Asia | 0.578 |
| =137 | SLBMelanesia | 0.578 |
| 139 | TGOWestern Africa | 0.582 |
| 140 | PNGMelanesia | 0.600 |
| 141 | MWIEastern Africa | 0.609 |
| 142 | BFAWestern Africa | 0.610 |
| 143 | COGMiddle Africa | 0.615 |
| 144 | GMBWestern Africa | 0.618 |
| 145 | MRTWestern Africa | 0.624 |
| 146 | HTICaribbean | 0.625 |
| 147 | CIVWestern Africa | 0.631 |
| 148 | SLEWestern Africa | 0.632 |
| 149 | COMEastern Africa | 0.633 |
| 150 | CODMiddle Africa | 0.645 |
| 151 | MLIWestern Africa | 0.646 |
| 152 | QATWestern Asia | 0.657 |
| =153 | BENWestern Africa | 0.659 |
| =153 | NERWestern Africa | 0.659 |
| 155 | LBRWestern Africa | 0.664 |
| 156 | NGAWestern Africa | 0.681 |
| 157 | AFGSouthern Asia | 0.683 |
| 158 | TONPolynesia | 0.770 |
| 159 | VUTMelanesia | 0.799 |
| 160 | YEMWestern Asia | 0.824 |
02In 2015
At either end
The 5 countries at each end of the headline.
Highest
- #160
Yemen0.824
- #159
Vanuatu0.799
- #158
Tonga0.770
- #157
Afghanistan0.683
- #156
Nigeria0.681
Lowest
- #1
Netherlandsshared0.034
- #1
Denmarkshared0.034
- #3
Swedenshared0.038
- #3
Switzerlandshared0.038
- #5
Norway0.040
A higher value is the worse result. The middle country reads 0.381. “Shared” marks a value another country also holds.
032014 → 2015
Since 2014
What changed between 2014 and this one: who joined or left, and how far the headline moved.
- +3 / −0countries joined / left
- 150values changed, of 157 in both
- 27 · 123rose · fell
- 7unchanged
Rose most
Mauritius0.343 → 0.373+0.030
Croatia0.119 → 0.143+0.024
Burkina Faso0.592 → 0.610+0.018
Belize0.413 → 0.429+0.016
Bahrain0.233 → 0.244+0.011
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 2015.
142 distinct values among 160
Values are stored exactly as published, to 3 decimals. 3 countries share 0.062. 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 160 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
160 rows · 5.1 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download gender-inequality-2015-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 (2015). Gender Inequality Index, 2015 [data set], describing 2015. As held by Nations Inquiry, https://nationsinquiry.com/datasets/gender-inequality/2015
0634 held
Other years
‹ The year before
Gender Inequality Index, 2014157 countries
The year after ›
Gender Inequality Index, 2016162 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, 2015: questions and answers
Which country has the highest Gender Inequality Index in Gender Inequality Index, 2015?
Yemen, at 0.824, of the 160 countries in the file.
What year does Gender Inequality Index, 2015 describe?
2015.
How many countries does Gender Inequality Index, 2015 cover?
160.
Where can I download Gender Inequality Index, 2015?
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, 2015 the newest?
No. The newest held here is Gender Inequality Index, 2023.