Data for 2013
Gender Inequality Index, 2013
2013, as UNDP Human Development Report Office’s 2025 release gives it · stored as published, never rewritten
Gender Inequality Index, 2013 covers 155 countries. Vanuatu is highest, at 0.799; Denmark is lowest, at 0.039. The middle country reads 0.382. Against 2012, 149 values changed (29 up, 120 down), 1 country joined.
Gender Inequality Index · Data for 2013
HighestVanuatu
0.799LowestDenmark
0.039Shaded 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, 2013, as published. The rank is UNDP Human Development Report Office’s own, as printed. “=” marks a shared position.
Showing 25 of 155 countries · select a heading to sort
| 1 | DNKNorthern Europe | 0.039 |
| 2 | NLDWestern Europe | 0.041 |
| 3 | CHEWestern Europe | 0.043 |
| 4 | SWENorthern Europe | 0.045 |
| 5 | NORNorthern Europe | 0.049 |
| 6 | SGPSouth-eastern Asia | 0.060 |
| 7 | FINNorthern Europe | 0.064 |
| 8 | SVNSouthern Europe | 0.070 |
| 9 | ISLNorthern Europe | 0.072 |
| =10 | BELWestern Europe | 0.073 |
| =10 | KOREastern Asia | 0.073 |
| 12 | LUXWestern Europe | 0.075 |
| 13 | DEUWestern Europe | 0.077 |
| =14 | AUTWestern Europe | 0.083 |
| =14 | ESPSouthern Europe | 0.083 |
| 16 | ITASouthern Europe | 0.085 |
| 17 | PRTSouthern Europe | 0.099 |
| 18 | FRAWestern Europe | 0.106 |
| 19 | CANNorthern America | 0.117 |
| 20 | ISRWestern Asia | 0.118 |
| 21 | IRLNorthern Europe | 0.121 |
| =22 | AUSAustralia and New Zealand | 0.122 |
| =22 | HRVSouthern Europe | 0.122 |
| 24 | GRCSouthern Europe | 0.123 |
| 25 | JPNEastern Asia | 0.128 |
| 26 | LTUNorthern Europe | 0.138 |
| =27 | CZEEastern Europe | 0.145 |
| =27 | NZLAustralia and New Zealand | 0.145 |
| 29 | BLREastern Europe | 0.147 |
| 30 | POLEastern Europe | 0.149 |
| 31 | GBRNorthern Europe | 0.151 |
| 32 | ESTNorthern Europe | 0.152 |
| 33 | AREWestern Asia | 0.154 |
| 34 | MNESouthern Europe | 0.159 |
| 35 | MKDSouthern Europe | 0.162 |
| 36 | SRBSouthern Europe | 0.165 |
| 37 | SVKEastern Europe | 0.189 |
| =38 | ALBSouthern Europe | 0.194 |
| =38 | MLTSouthern Europe | 0.194 |
| 40 | KWTWestern Asia | 0.195 |
| 41 | LVANorthern Europe | 0.210 |
| 42 | CYPWestern Asia | 0.212 |
| 43 | BGREastern Europe | 0.213 |
| 44 | CHNEastern Asia | 0.217 |
| 45 | MDAEastern Europe | 0.227 |
| 46 | RUSEastern Europe | 0.230 |
| 47 | USANorthern America | 0.231 |
| 48 | KAZCentral Asia | 0.233 |
| 49 | BHRWestern Asia | 0.236 |
| 50 | MYSSouth-eastern Asia | 0.246 |
| 51 | HUNEastern Europe | 0.265 |
| 52 | LBYNorthern Africa | 0.267 |
| 53 | UZBCentral Asia | 0.275 |
| 54 | TUNNorthern Africa | 0.280 |
| 55 | CRICentral America | 0.293 |
| 56 | ROUEastern Europe | 0.297 |
| 57 | CHLSouth America | 0.308 |
| 58 | SAUWestern Asia | 0.309 |
| 59 | CUBCaribbean | 0.312 |
| 60 | TTOCaribbean | 0.313 |
| 61 | ARMWestern Asia | 0.314 |
| 62 | OMNWestern Asia | 0.321 |
| 63 | URYSouth America | 0.326 |
| 64 | TJKCentral Asia | 0.338 |
| 65 | MNGEastern Asia | 0.339 |
| 66 | VNMSouth-eastern Asia | 0.341 |
| =67 | AZEWestern Asia | 0.342 |
| =67 | BRBCaribbean | 0.342 |
| 69 | MUSEastern Africa | 0.344 |
| 70 | TURWestern Asia | 0.348 |
| =71 | ARGSouth America | 0.352 |
| =71 | THASouth-eastern Asia | 0.352 |
| 73 | MDVSouthern Asia | 0.358 |
| 74 | GEOWestern Asia | 0.365 |
| 75 | LCACaribbean | 0.370 |
| 76 | BHSCaribbean | 0.374 |
| 77 | SLVCentral America | 0.380 |
| 78 | KGZCentral Asia | 0.382 |
| 79 | LKASouthern Asia | 0.387 |
| =80 | FJIMelanesia | 0.390 |
| =80 | MEXCentral America | 0.390 |
| 82 | BLZCentral America | 0.401 |
| 83 | DZANorthern Africa | 0.403 |
| 84 | PERSouth America | 0.404 |
| 85 | ECUSouth America | 0.408 |
| 86 | JAMCaribbean | 0.417 |
| 87 | PHLSouth-eastern Asia | 0.421 |
| 88 | NICCentral America | 0.425 |
| 89 | RWAEastern Africa | 0.427 |
| 90 | ZAFSouthern Africa | 0.428 |
| 91 | BTNSouthern Asia | 0.430 |
| 92 | LBNWestern Asia | 0.432 |
| 93 | PRYSouth America | 0.443 |
| 94 | BRASouth America | 0.445 |
| 95 | COLSouth America | 0.449 |
| 96 | HNDCentral America | 0.454 |
| 97 | TLSSouth-eastern Asia | 0.466 |
| 98 | DOMCaribbean | 0.470 |
| 99 | BOLSouth America | 0.473 |
| 100 | PANCentral America | 0.475 |
| 101 | TONPolynesia | 0.481 |
| 102 | IDNSouth-eastern Asia | 0.482 |
| 103 | JORWestern Asia | 0.488 |
| 104 | SYRWestern Asia | 0.491 |
| 105 | SURSouth America | 0.493 |
| 106 | VENSouth America | 0.494 |
| 107 | BWASouthern Africa | 0.498 |
| 108 | MARNorthern Africa | 0.502 |
| =109 | NAMSouthern Africa | 0.510 |
| =109 | NPLSouthern Asia | 0.510 |
| =111 | KHMSouth-eastern Asia | 0.517 |
| =111 | LAOSouth-eastern Asia | 0.517 |
| 113 | STPMiddle Africa | 0.521 |
| 114 | GABMiddle Africa | 0.524 |
| 115 | BDIEastern Africa | 0.526 |
| 116 | MOZEastern Africa | 0.527 |
| 117 | GTMCentral America | 0.530 |
| 118 | SENWestern Africa | 0.531 |
| 119 | IRNSouthern Asia | 0.543 |
| 120 | TZAEastern Africa | 0.544 |
| 121 | UGAEastern Africa | 0.545 |
| =122 | INDSouthern Asia | 0.550 |
| =122 | ZWEEastern Africa | 0.550 |
| 124 | AGOMiddle Africa | 0.551 |
| =125 | EGYNorthern Africa | 0.558 |
| =125 | GHAWestern Africa | 0.558 |
| 127 | KENEastern Africa | 0.568 |
| =128 | ETHEastern Africa | 0.572 |
| =128 | ZMBEastern Africa | 0.572 |
| 130 | LSOSouthern Africa | 0.575 |
| 131 | PAKSouthern Asia | 0.576 |
| =132 | BGDSouthern Asia | 0.578 |
| =132 | SLBMelanesia | 0.578 |
| 134 | CMRMiddle Africa | 0.579 |
| 135 | SDNNorthern Africa | 0.589 |
| 136 | BFAWestern Africa | 0.595 |
| 137 | IRQWestern Asia | 0.601 |
| 138 | MWIEastern Africa | 0.602 |
| 139 | TGOWestern Africa | 0.607 |
| 140 | PNGMelanesia | 0.614 |
| 141 | COGMiddle Africa | 0.626 |
| 142 | CIVWestern Africa | 0.628 |
| 143 | HTICaribbean | 0.629 |
| 144 | MRTWestern Africa | 0.633 |
| 145 | SLEWestern Africa | 0.639 |
| 146 | GMBWestern Africa | 0.646 |
| =147 | BENWestern Africa | 0.652 |
| =147 | CODMiddle Africa | 0.652 |
| 149 | LBRWestern Africa | 0.653 |
| 150 | MLIWestern Africa | 0.659 |
| 151 | QATWestern Asia | 0.673 |
| 152 | NGAWestern Africa | 0.677 |
| 153 | NERWestern Africa | 0.682 |
| 154 | AFGSouthern Asia | 0.708 |
| 155 | VUTMelanesia | 0.799 |
02In 2013
At either end
The 5 countries at each end of the headline.
Highest
- #155
Vanuatu0.799
- #154
Afghanistan0.708
- #153
Niger0.682
- #152
Nigeria0.677
- #151
Qatar0.673
Lowest
- #1
Denmark0.039
- #2
Netherlands0.041
- #3
Switzerland0.043
- #4
Sweden0.045
- #5
Norway0.049
A higher value is the worse result. The middle country reads 0.382. “Shared” marks a value another country also holds.
032012 → 2013
Since 2012
What changed between 2012 and this one: who joined or left, and how far the headline moved.
- +1 / −0countries joined / left
- 149values changed, of 154 in both
- 29 · 120rose · fell
- 5unchanged
Rose most
Bhutan0.392 → 0.430+0.038
Iran0.525 → 0.543+0.018
Belize0.384 → 0.401+0.017
Kyrgyzstan0.373 → 0.382+0.009
Libya0.258 → 0.267+0.009
Fell most
Saudi Arabia0.749 → 0.309−0.440
Malta0.243 → 0.194−0.049
Zimbabwe0.592 → 0.550−0.042
Botswana0.538 → 0.498−0.040
Niger0.720 → 0.682−0.038
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 2013.
140 distinct values among 155
Values are stored exactly as published, to 3 decimals. 2 countries share 0.073. 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 155 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
155 rows · 4.9 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download gender-inequality-2013-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 (2013). Gender Inequality Index, 2013 [data set], describing 2013. As held by Nations Inquiry, https://nationsinquiry.com/datasets/gender-inequality/2013
0634 held
Other years
‹ The year before
Gender Inequality Index, 2012154 countries
The year after ›
Gender Inequality Index, 2014157 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, 2013: questions and answers
Which country has the highest Gender Inequality Index in Gender Inequality Index, 2013?
Vanuatu, at 0.799, of the 155 countries in the file.
What year does Gender Inequality Index, 2013 describe?
2013.
How many countries does Gender Inequality Index, 2013 cover?
155.
Where can I download Gender Inequality Index, 2013?
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, 2013 the newest?
No. The newest held here is Gender Inequality Index, 2023.