Data for 2014
Gender Inequality Index, 2014
2014, as UNDP Human Development Report Office’s 2025 release gives it · stored as published, never rewritten
Gender Inequality Index, 2014 covers 157 countries. Yemen is highest, at 0.815; Denmark is lowest, at 0.035. The middle country reads 0.384. Against 2013, 147 values changed (35 up, 112 down), 2 countries joined.
Gender Inequality Index · Data for 2014
HighestYemen
0.815LowestDenmark
0.035Shaded 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, 2014, as published. The rank is UNDP Human Development Report Office’s own, as printed. “=” marks a shared position.
Showing 25 of 157 countries · select a heading to sort
| 1 | DNKNorthern Europe | 0.035 |
| 2 | NLDWestern Europe | 0.038 |
| 3 | CHEWestern Europe | 0.041 |
| 4 | SWENorthern Europe | 0.042 |
| 5 | NORNorthern Europe | 0.045 |
| 6 | SGPSouth-eastern Asia | 0.054 |
| 7 | FINNorthern Europe | 0.062 |
| =8 | BELWestern Europe | 0.066 |
| =8 | SVNSouthern Europe | 0.066 |
| 10 | ISLNorthern Europe | 0.069 |
| 11 | KOREastern Asia | 0.070 |
| 12 | LUXWestern Europe | 0.073 |
| 13 | DEUWestern Europe | 0.077 |
| 14 | ESPSouthern Europe | 0.079 |
| =15 | AUTWestern Europe | 0.081 |
| =15 | ITASouthern Europe | 0.081 |
| 17 | PRTSouthern Europe | 0.091 |
| 18 | FRAWestern Europe | 0.101 |
| 19 | CANNorthern America | 0.113 |
| =20 | AUSAustralia and New Zealand | 0.116 |
| =20 | IRLNorthern Europe | 0.116 |
| =20 | ISRWestern Asia | 0.116 |
| 23 | HRVSouthern Europe | 0.119 |
| 24 | GRCSouthern Europe | 0.121 |
| 25 | JPNEastern Asia | 0.126 |
| 26 | LTUNorthern Europe | 0.135 |
| 27 | BLREastern Europe | 0.138 |
| 28 | AREWestern Asia | 0.139 |
| 29 | NZLAustralia and New Zealand | 0.141 |
| 30 | GBRNorthern Europe | 0.143 |
| 31 | POLEastern Europe | 0.144 |
| 32 | CZEEastern Europe | 0.146 |
| 33 | MNESouthern Europe | 0.149 |
| 34 | ESTNorthern Europe | 0.156 |
| 35 | SRBSouthern Europe | 0.160 |
| 36 | MKDSouthern Europe | 0.166 |
| 37 | MLTSouthern Europe | 0.187 |
| 38 | ALBSouthern Europe | 0.190 |
| 39 | SVKEastern Europe | 0.191 |
| 40 | CYPWestern Asia | 0.202 |
| 41 | CHNEastern Asia | 0.210 |
| =42 | RUSEastern Europe | 0.221 |
| =42 | USANorthern America | 0.221 |
| 44 | BGREastern Europe | 0.224 |
| 45 | KAZCentral Asia | 0.229 |
| 46 | LVANorthern Europe | 0.230 |
| 47 | BHRWestern Asia | 0.233 |
| 48 | MYSSouth-eastern Asia | 0.236 |
| 49 | MDAEastern Europe | 0.248 |
| 50 | HUNEastern Europe | 0.261 |
| 51 | LBYNorthern Africa | 0.268 |
| 52 | UZBCentral Asia | 0.272 |
| 53 | TUNNorthern Africa | 0.280 |
| 54 | CHLSouth America | 0.291 |
| 55 | ROUEastern Europe | 0.293 |
| 56 | KWTWestern Asia | 0.301 |
| 57 | CRICentral America | 0.303 |
| 58 | SAUWestern Asia | 0.308 |
| 59 | ARMWestern Asia | 0.309 |
| =60 | CUBCaribbean | 0.310 |
| =60 | TTOCaribbean | 0.310 |
| 62 | OMNWestern Asia | 0.313 |
| 63 | URYSouth America | 0.326 |
| 64 | MNGEastern Asia | 0.332 |
| 65 | BRBCaribbean | 0.337 |
| 66 | TJKCentral Asia | 0.339 |
| 67 | VNMSouth-eastern Asia | 0.341 |
| 68 | MUSEastern Africa | 0.343 |
| 69 | TURWestern Asia | 0.344 |
| 70 | AZEWestern Asia | 0.346 |
| 71 | ARGSouth America | 0.347 |
| 72 | FJIMelanesia | 0.352 |
| 73 | GEOWestern Asia | 0.361 |
| 74 | LCACaribbean | 0.368 |
| 75 | MDVSouthern Asia | 0.369 |
| 76 | KGZCentral Asia | 0.373 |
| 77 | LKASouthern Asia | 0.374 |
| 78 | SLVCentral America | 0.382 |
| 79 | BHSCaribbean | 0.384 |
| 80 | MEXCentral America | 0.388 |
| 81 | PERSouth America | 0.393 |
| 82 | ECUSouth America | 0.396 |
| 83 | DZANorthern Africa | 0.399 |
| 84 | BTNSouthern Asia | 0.404 |
| 85 | PHLSouth-eastern Asia | 0.407 |
| 86 | THASouth-eastern Asia | 0.408 |
| 87 | BLZCentral America | 0.413 |
| 88 | JAMCaribbean | 0.419 |
| 89 | RWAEastern Africa | 0.420 |
| 90 | COLSouth America | 0.422 |
| 91 | PANCentral America | 0.424 |
| 92 | LBNWestern Asia | 0.428 |
| 93 | ZAFSouthern Africa | 0.429 |
| 94 | NICCentral America | 0.431 |
| 95 | BOLSouth America | 0.435 |
| 96 | HNDCentral America | 0.438 |
| 97 | BRASouth America | 0.441 |
| 98 | PRYSouth America | 0.449 |
| 99 | TLSSouth-eastern Asia | 0.455 |
| 100 | DOMCaribbean | 0.470 |
| 101 | IDNSouth-eastern Asia | 0.482 |
| =102 | JORWestern Asia | 0.489 |
| =102 | SURSouth America | 0.489 |
| =102 | VENSouth America | 0.489 |
| 105 | SYRWestern Asia | 0.491 |
| 106 | MARNorthern Africa | 0.495 |
| 107 | LAOSouth-eastern Asia | 0.500 |
| 108 | BWASouthern Africa | 0.502 |
| 109 | NAMSouthern Africa | 0.504 |
| 110 | STPMiddle Africa | 0.510 |
| 111 | NPLSouthern Asia | 0.515 |
| 112 | KHMSouth-eastern Asia | 0.516 |
| 113 | BDIEastern Africa | 0.522 |
| 114 | MOZEastern Africa | 0.524 |
| 115 | GTMCentral America | 0.526 |
| 116 | INDSouthern Asia | 0.528 |
| 117 | SENWestern Africa | 0.529 |
| 118 | GABMiddle Africa | 0.533 |
| 119 | IRNSouthern Asia | 0.537 |
| 120 | ZWEEastern Africa | 0.538 |
| 121 | TZAEastern Africa | 0.541 |
| 122 | UGAEastern Africa | 0.546 |
| 123 | EGYNorthern Africa | 0.548 |
| =124 | AGOMiddle Africa | 0.553 |
| =124 | GHAWestern Africa | 0.553 |
| 126 | KENEastern Africa | 0.562 |
| 127 | ETHEastern Africa | 0.565 |
| =128 | BGDSouthern Asia | 0.569 |
| =128 | ZMBEastern Africa | 0.569 |
| 130 | LSOSouthern Africa | 0.570 |
| 131 | PAKSouthern Asia | 0.572 |
| 132 | CMRMiddle Africa | 0.577 |
| 133 | SLBMelanesia | 0.579 |
| 134 | IRQWestern Asia | 0.587 |
| 135 | SDNNorthern Africa | 0.588 |
| 136 | BFAWestern Africa | 0.592 |
| 137 | TGOWestern Africa | 0.594 |
| 138 | PNGMelanesia | 0.609 |
| 139 | MWIEastern Africa | 0.611 |
| 140 | COGMiddle Africa | 0.618 |
| 141 | GMBWestern Africa | 0.625 |
| =142 | HTICaribbean | 0.627 |
| =142 | MRTWestern Africa | 0.627 |
| 144 | CIVWestern Africa | 0.630 |
| 145 | SLEWestern Africa | 0.637 |
| 146 | CODMiddle Africa | 0.640 |
| 147 | COMEastern Africa | 0.645 |
| 148 | BENWestern Africa | 0.653 |
| 149 | QATWestern Asia | 0.662 |
| =150 | LBRWestern Africa | 0.664 |
| =150 | NERWestern Africa | 0.664 |
| 152 | MLIWestern Africa | 0.670 |
| 153 | NGAWestern Africa | 0.677 |
| 154 | AFGSouthern Asia | 0.687 |
| 155 | TONPolynesia | 0.774 |
| 156 | VUTMelanesia | 0.800 |
| 157 | YEMWestern Asia | 0.815 |
02In 2014
At either end
The 5 countries at each end of the headline.
Highest
- #157
Yemen0.815
- #156
Vanuatu0.800
- #155
Tonga0.774
- #154
Afghanistan0.687
- #153
Nigeria0.677
Lowest
- #1
Denmark0.035
- #2
Netherlands0.038
- #3
Switzerland0.041
- #4
Sweden0.042
- #5
Norway0.045
A higher value is the worse result. The middle country reads 0.384. “Shared” marks a value another country also holds.
032013 → 2014
Since 2013
What changed between 2013 and this one: who joined or left, and how far the headline moved.
- +2 / −0countries joined / left
- 147values changed, of 155 in both
- 35 · 112rose · fell
- 8unchanged
Rose most
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 2014.
145 distinct values among 157
Values are stored exactly as published, to 3 decimals. 3 countries share 0.116. 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 157 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
157 rows · 5.0 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download gender-inequality-2014-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 (2014). Gender Inequality Index, 2014 [data set], describing 2014. As held by Nations Inquiry, https://nationsinquiry.com/datasets/gender-inequality/2014
0634 held
Other years
‹ The year before
Gender Inequality Index, 2013155 countries
The year after ›
Gender Inequality Index, 2015160 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, 2014: questions and answers
Which country has the highest Gender Inequality Index in Gender Inequality Index, 2014?
Yemen, at 0.815, of the 157 countries in the file.
What year does Gender Inequality Index, 2014 describe?
2014.
How many countries does Gender Inequality Index, 2014 cover?
157.
Where can I download Gender Inequality Index, 2014?
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, 2014 the newest?
No. The newest held here is Gender Inequality Index, 2023.