Data for 2012
Gender Inequality Index, 2012
2012, as UNDP Human Development Report Office’s 2025 release gives it · stored as published, never rewritten
Gender Inequality Index, 2012 covers 154 countries. Vanuatu is highest, at 0.799; Denmark is lowest, at 0.041. The middle country reads 0.385. Against 2011, 150 values changed (36 up, 114 down), the same countries are covered.
Gender Inequality Index · Data for 2012
HighestVanuatu
0.799LowestDenmark
0.041Shaded 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, 2012, as published. The rank is UNDP Human Development Report Office’s own, as printed. “=” marks a shared position.
Showing 25 of 154 countries · select a heading to sort
| 1 | DNKNorthern Europe | 0.041 |
| 2 | NLDWestern Europe | 0.046 |
| 3 | SWENorthern Europe | 0.047 |
| 4 | CHEWestern Europe | 0.050 |
| 5 | NORNorthern Europe | 0.054 |
| 6 | FINNorthern Europe | 0.065 |
| 7 | SGPSouth-eastern Asia | 0.068 |
| 8 | SVNSouthern Europe | 0.070 |
| 9 | KOREastern Asia | 0.074 |
| 10 | BELWestern Europe | 0.082 |
| 11 | ISLNorthern Europe | 0.084 |
| 12 | DEUWestern Europe | 0.085 |
| 13 | ESPSouthern Europe | 0.089 |
| 14 | AUTWestern Europe | 0.094 |
| 15 | LUXWestern Europe | 0.097 |
| 16 | FRAWestern Europe | 0.110 |
| =17 | ITASouthern Europe | 0.114 |
| =17 | PRTSouthern Europe | 0.114 |
| 19 | CANNorthern America | 0.124 |
| 20 | JPNEastern Asia | 0.126 |
| 21 | GRCSouthern Europe | 0.127 |
| 22 | HRVSouthern Europe | 0.129 |
| 23 | AUSAustralia and New Zealand | 0.131 |
| 24 | ISRWestern Asia | 0.133 |
| 25 | IRLNorthern Europe | 0.135 |
| 26 | LTUNorthern Europe | 0.140 |
| 27 | CZEEastern Europe | 0.143 |
| 28 | POLEastern Europe | 0.151 |
| =29 | BLREastern Europe | 0.152 |
| =29 | ESTNorthern Europe | 0.152 |
| 31 | NZLAustralia and New Zealand | 0.155 |
| 32 | MNESouthern Europe | 0.159 |
| =33 | AREWestern Asia | 0.161 |
| =33 | GBRNorthern Europe | 0.161 |
| 35 | MKDSouthern Europe | 0.173 |
| 36 | SRBSouthern Europe | 0.175 |
| 37 | SVKEastern Europe | 0.189 |
| 38 | ALBSouthern Europe | 0.197 |
| 39 | KWTWestern Asia | 0.211 |
| 40 | CYPWestern Asia | 0.213 |
| 41 | BGREastern Europe | 0.218 |
| 42 | LVANorthern Europe | 0.219 |
| 43 | CHNEastern Asia | 0.227 |
| 44 | MDAEastern Europe | 0.229 |
| 45 | USANorthern America | 0.235 |
| 46 | KAZCentral Asia | 0.236 |
| 47 | BHRWestern Asia | 0.238 |
| 48 | RUSEastern Europe | 0.242 |
| 49 | MLTSouthern Europe | 0.243 |
| 50 | MYSSouth-eastern Asia | 0.253 |
| =51 | HUNEastern Europe | 0.258 |
| =51 | LBYNorthern Africa | 0.258 |
| 53 | TUNNorthern Africa | 0.278 |
| 54 | UZBCentral Asia | 0.283 |
| 55 | CRICentral America | 0.301 |
| 56 | ROUEastern Europe | 0.305 |
| 57 | OMNWestern Asia | 0.316 |
| =58 | CUBCaribbean | 0.321 |
| =58 | TTOCaribbean | 0.321 |
| 60 | URYSouth America | 0.324 |
| 61 | ARMWestern Asia | 0.326 |
| 62 | CHLSouth America | 0.327 |
| 63 | AZEWestern Asia | 0.339 |
| 64 | VNMSouth-eastern Asia | 0.340 |
| 65 | TJKCentral Asia | 0.346 |
| 66 | MNGEastern Asia | 0.347 |
| 67 | BRBCaribbean | 0.352 |
| 68 | ARGSouth America | 0.353 |
| 69 | THASouth-eastern Asia | 0.354 |
| 70 | MUSEastern Africa | 0.355 |
| 71 | TURWestern Asia | 0.362 |
| 72 | LCACaribbean | 0.368 |
| 73 | GEOWestern Asia | 0.372 |
| =74 | KGZCentral Asia | 0.373 |
| =74 | MDVSouthern Asia | 0.373 |
| 76 | SLVCentral America | 0.381 |
| 77 | BLZCentral America | 0.384 |
| 78 | FJIMelanesia | 0.386 |
| 79 | MEXCentral America | 0.391 |
| 80 | BTNSouthern Asia | 0.392 |
| 81 | BHSCaribbean | 0.394 |
| 82 | LKASouthern Asia | 0.400 |
| 83 | PERSouth America | 0.405 |
| 84 | DZANorthern Africa | 0.407 |
| 85 | JAMCaribbean | 0.413 |
| 86 | ECUSouth America | 0.424 |
| 87 | NICCentral America | 0.426 |
| 88 | ZAFSouthern Africa | 0.429 |
| =89 | LBNWestern Asia | 0.434 |
| =89 | PHLSouth-eastern Asia | 0.434 |
| 91 | RWAEastern Africa | 0.436 |
| 92 | BRASouth America | 0.441 |
| 93 | COLSouth America | 0.452 |
| =94 | HNDCentral America | 0.463 |
| =94 | PRYSouth America | 0.463 |
| 96 | DOMCaribbean | 0.472 |
| 97 | TONPolynesia | 0.476 |
| =98 | BOLSouth America | 0.479 |
| =98 | PANCentral America | 0.479 |
| 100 | TLSSouth-eastern Asia | 0.480 |
| 101 | SYRWestern Asia | 0.487 |
| =102 | IDNSouth-eastern Asia | 0.489 |
| =102 | SURSouth America | 0.489 |
| =104 | JORWestern Asia | 0.491 |
| =104 | VENSouth America | 0.491 |
| 106 | MARNorthern Africa | 0.512 |
| 107 | NPLSouthern Asia | 0.516 |
| 108 | GABMiddle Africa | 0.519 |
| 109 | LAOSouth-eastern Asia | 0.521 |
| 110 | KHMSouth-eastern Asia | 0.522 |
| 111 | NAMSouthern Africa | 0.523 |
| 112 | IRNSouthern Asia | 0.525 |
| 113 | STPMiddle Africa | 0.527 |
| 114 | BDIEastern Africa | 0.530 |
| 115 | GTMCentral America | 0.536 |
| 116 | MOZEastern Africa | 0.537 |
| 117 | BWASouthern Africa | 0.538 |
| 118 | SENWestern Africa | 0.540 |
| 119 | TZAEastern Africa | 0.543 |
| 120 | AGOMiddle Africa | 0.550 |
| 121 | UGAEastern Africa | 0.555 |
| 122 | INDSouthern Asia | 0.557 |
| 123 | EGYNorthern Africa | 0.566 |
| 124 | GHAWestern Africa | 0.570 |
| 125 | ZMBEastern Africa | 0.580 |
| =126 | BGDSouthern Asia | 0.583 |
| =126 | LSOSouthern Africa | 0.583 |
| =126 | PAKSouthern Asia | 0.583 |
| 129 | ETHEastern Africa | 0.585 |
| 130 | SDNNorthern Africa | 0.588 |
| 131 | ZWEEastern Africa | 0.592 |
| 132 | BFAWestern Africa | 0.593 |
| 133 | KENEastern Africa | 0.601 |
| 134 | MWIEastern Africa | 0.607 |
| 135 | IRQWestern Asia | 0.610 |
| 136 | CMRMiddle Africa | 0.614 |
| 137 | PNGMelanesia | 0.621 |
| 138 | TGOWestern Africa | 0.630 |
| =139 | CIVWestern Africa | 0.631 |
| =139 | HTICaribbean | 0.631 |
| 141 | COGMiddle Africa | 0.633 |
| 142 | MRTWestern Africa | 0.637 |
| 143 | SLEWestern Africa | 0.643 |
| =144 | CODMiddle Africa | 0.649 |
| =144 | GMBWestern Africa | 0.649 |
| 146 | BENWestern Africa | 0.653 |
| 147 | LBRWestern Africa | 0.654 |
| 148 | MLIWestern Africa | 0.663 |
| 149 | QATWestern Asia | 0.668 |
| 150 | NGAWestern Africa | 0.676 |
| 151 | NERWestern Africa | 0.720 |
| 152 | AFGSouthern Asia | 0.731 |
| 153 | SAUWestern Asia | 0.749 |
| 154 | VUTMelanesia | 0.799 |
02In 2012
At either end
The 5 countries at each end of the headline.
Highest
- #154
Vanuatu0.799
- #153
Saudi Arabia0.749
- #152
Afghanistan0.731
- #151
Niger0.720
- #150
Nigeria0.676
Lowest
- #1
Denmark0.041
- #2
Netherlands0.046
- #3
Sweden0.047
- #4
Switzerland0.050
- #5
Norway0.054
A higher value is the worse result. The middle country reads 0.385. “Shared” marks a value another country also holds.
032011 → 2012
Since 2011
What changed between 2011 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 150values changed, of 154 in both
- 36 · 114rose · fell
- 4unchanged
Rose most
Vanuatu0.576 → 0.799+0.223
Niger0.669 → 0.720+0.051
Egypt0.545 → 0.566+0.021
Saint Lucia0.350 → 0.368+0.018
Afghanistan0.716 → 0.731+0.015
Fell most
Algeria0.496 → 0.407−0.089
Mongolia0.420 → 0.347−0.073
Papua New Guinea0.676 → 0.621−0.055
Georgia0.420 → 0.372−0.048
Libya0.302 → 0.258−0.044
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 2012.
139 distinct values among 154
Values are stored exactly as published, to 3 decimals. 3 countries share 0.583. 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 154 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
154 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-2012-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 (2012). Gender Inequality Index, 2012 [data set], describing 2012. As held by Nations Inquiry, https://nationsinquiry.com/datasets/gender-inequality/2012
0634 held
Other years
‹ The year before
Gender Inequality Index, 2011154 countries
The year after ›
Gender Inequality Index, 2013155 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, 2012: questions and answers
Which country has the highest Gender Inequality Index in Gender Inequality Index, 2012?
Vanuatu, at 0.799, of the 154 countries in the file.
What year does Gender Inequality Index, 2012 describe?
2012.
How many countries does Gender Inequality Index, 2012 cover?
154.
Where can I download Gender Inequality Index, 2012?
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, 2012 the newest?
No. The newest held here is Gender Inequality Index, 2023.