Data for 2016
Gender Inequality Index, 2016
2016, as UNDP Human Development Report Office’s 2025 release gives it · stored as published, never rewritten
Gender Inequality Index, 2016 covers 162 countries. Haiti is highest, at 0.840; Netherlands is lowest, at 0.031. The middle country reads 0.370. Against 2015, 153 values changed (19 up, 134 down), 2 countries joined.
Gender Inequality Index · Data for 2016
HighestHaiti
0.840LowestNetherlands
0.031Shaded 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, 2016, as published. The rank is UNDP Human Development Report Office’s own, as printed. “=” marks a shared position.
Showing 25 of 162 countries · select a heading to sort
| 1 | NLDWestern Europe | 0.031 |
| 2 | DNKNorthern Europe | 0.033 |
| 3 | NORNorthern Europe | 0.034 |
| 4 | SWENorthern Europe | 0.036 |
| 5 | CHEWestern Europe | 0.038 |
| 6 | SGPSouth-eastern Asia | 0.048 |
| 7 | FINNorthern Europe | 0.050 |
| 8 | ISLNorthern Europe | 0.052 |
| 9 | SVNSouthern Europe | 0.057 |
| 10 | BELWestern Europe | 0.058 |
| 11 | KOREastern Asia | 0.061 |
| 12 | LUXWestern Europe | 0.063 |
| 13 | ESPSouthern Europe | 0.070 |
| 14 | ITASouthern Europe | 0.074 |
| =15 | AUTWestern Europe | 0.081 |
| =15 | PRTSouthern Europe | 0.081 |
| 17 | DEUWestern Europe | 0.083 |
| 18 | FRAWestern Europe | 0.092 |
| 19 | IRLNorthern Europe | 0.093 |
| 20 | ISRWestern Asia | 0.100 |
| 21 | AUSAustralia and New Zealand | 0.101 |
| 22 | CANNorthern America | 0.102 |
| =23 | JPNEastern Asia | 0.104 |
| =23 | AREWestern Asia | 0.104 |
| =25 | BLREastern Europe | 0.119 |
| =25 | ESTNorthern Europe | 0.119 |
| =27 | MNESouthern Europe | 0.124 |
| =27 | GBRNorthern Europe | 0.124 |
| 29 | NZLAustralia and New Zealand | 0.126 |
| 30 | GRCSouthern Europe | 0.129 |
| 31 | POLEastern Europe | 0.131 |
| =32 | CZEEastern Europe | 0.139 |
| =32 | LTUNorthern Europe | 0.139 |
| 34 | SRBSouthern Europe | 0.145 |
| 35 | HRVSouthern Europe | 0.158 |
| =36 | ALBSouthern Europe | 0.162 |
| =36 | MKDSouthern Europe | 0.162 |
| 38 | BIHSouthern Europe | 0.169 |
| 39 | MLTSouthern Europe | 0.188 |
| =40 | CHNEastern Asia | 0.192 |
| =40 | SVKEastern Europe | 0.192 |
| =42 | CYPWestern Asia | 0.196 |
| =42 | RUSEastern Europe | 0.196 |
| =44 | KAZCentral Asia | 0.212 |
| =44 | LVANorthern Europe | 0.212 |
| 46 | USANorthern America | 0.214 |
| 47 | BGREastern Europe | 0.217 |
| 48 | MYSSouth-eastern Asia | 0.224 |
| 49 | MDAEastern Europe | 0.226 |
| 50 | BHRWestern Asia | 0.237 |
| 51 | TUNNorthern Africa | 0.252 |
| 52 | HUNEastern Europe | 0.261 |
| =53 | CHLSouth America | 0.267 |
| =53 | UZBCentral Asia | 0.267 |
| 55 | LBYNorthern Africa | 0.269 |
| 56 | CRICentral America | 0.278 |
| 57 | TTOCaribbean | 0.281 |
| =58 | KWTWestern Asia | 0.284 |
| =58 | URYSouth America | 0.284 |
| 60 | ARMWestern Asia | 0.296 |
| =61 | ROUEastern Europe | 0.297 |
| =61 | SAUWestern Asia | 0.297 |
| 63 | OMNWestern Asia | 0.304 |
| 64 | TJKCentral Asia | 0.305 |
| 65 | CUBCaribbean | 0.307 |
| 66 | BRNSouth-eastern Asia | 0.312 |
| 67 | GEOWestern Asia | 0.321 |
| 68 | TURWestern Asia | 0.324 |
| 69 | VNMSouth-eastern Asia | 0.327 |
| 70 | AZEWestern Asia | 0.328 |
| 71 | MNGEastern Asia | 0.331 |
| =72 | ARGSouth America | 0.333 |
| =72 | FJIMelanesia | 0.333 |
| 74 | BRBCaribbean | 0.340 |
| 75 | LCACaribbean | 0.342 |
| 76 | MDVSouthern Asia | 0.348 |
| 77 | CPVWestern Africa | 0.352 |
| 78 | BHSCaribbean | 0.357 |
| =79 | BTNSouthern Asia | 0.363 |
| =79 | LKASouthern Asia | 0.363 |
| =81 | SLVCentral America | 0.370 |
| =81 | KGZCentral Asia | 0.370 |
| =81 | MUSEastern Africa | 0.370 |
| =81 | MEXCentral America | 0.370 |
| =81 | PERSouth America | 0.370 |
| 86 | ECUSouth America | 0.386 |
| 87 | DZANorthern Africa | 0.392 |
| =88 | PHLSouth-eastern Asia | 0.394 |
| =88 | THASouth-eastern Asia | 0.394 |
| 90 | JAMCaribbean | 0.399 |
| 91 | ZAFSouthern Africa | 0.411 |
| 92 | EGYNorthern Africa | 0.412 |
| 93 | RWAEastern Africa | 0.413 |
| 94 | COLSouth America | 0.414 |
| 95 | PANCentral America | 0.416 |
| 96 | LBNWestern Asia | 0.421 |
| 97 | NICCentral America | 0.424 |
| 98 | SURSouth America | 0.425 |
| 99 | TLSSouth-eastern Asia | 0.426 |
| 100 | HNDCentral America | 0.428 |
| 101 | BRASouth America | 0.432 |
| 102 | BOLSouth America | 0.433 |
| =103 | BLZCentral America | 0.440 |
| =103 | PRYSouth America | 0.440 |
| 105 | JORWestern Asia | 0.442 |
| 106 | DOMCaribbean | 0.452 |
| 107 | MARNorthern Africa | 0.453 |
| 108 | IRNSouthern Asia | 0.470 |
| =109 | IDNSouth-eastern Asia | 0.471 |
| =109 | NAMSouthern Africa | 0.471 |
| 111 | SYRWestern Asia | 0.477 |
| 112 | BWASouthern Africa | 0.480 |
| 113 | INDSouthern Asia | 0.484 |
| 114 | LAOSouth-eastern Asia | 0.485 |
| =115 | KHMSouth-eastern Asia | 0.506 |
| =115 | STPMiddle Africa | 0.506 |
| 117 | GTMCentral America | 0.508 |
| 118 | VENSouth America | 0.509 |
| =119 | BDIEastern Africa | 0.510 |
| =119 | SENWestern Africa | 0.510 |
| =121 | MMRSouth-eastern Asia | 0.512 |
| =121 | NPLSouthern Asia | 0.512 |
| 123 | MOZEastern Africa | 0.513 |
| 124 | ETHEastern Africa | 0.524 |
| 125 | TZAEastern Africa | 0.528 |
| 126 | ZWEEastern Africa | 0.529 |
| 127 | GABMiddle Africa | 0.531 |
| 128 | SWZSouthern Africa | 0.533 |
| 129 | UGAEastern Africa | 0.534 |
| 130 | ZMBEastern Africa | 0.536 |
| 131 | GHAWestern Africa | 0.543 |
| 132 | AGOMiddle Africa | 0.544 |
| 133 | KENEastern Africa | 0.547 |
| 134 | BGDSouthern Asia | 0.557 |
| 135 | IRQWestern Asia | 0.558 |
| 136 | PAKSouthern Asia | 0.563 |
| 137 | LSOSouthern Africa | 0.565 |
| 138 | CMRMiddle Africa | 0.572 |
| 139 | SLBMelanesia | 0.574 |
| 140 | SDNNorthern Africa | 0.579 |
| 141 | TGOWestern Africa | 0.586 |
| 142 | PNGMelanesia | 0.596 |
| 143 | MWIEastern Africa | 0.603 |
| 144 | BFAWestern Africa | 0.606 |
| 145 | GMBWestern Africa | 0.609 |
| 146 | COGMiddle Africa | 0.614 |
| 147 | MRTWestern Africa | 0.619 |
| 148 | SLEWestern Africa | 0.622 |
| 149 | COMEastern Africa | 0.626 |
| 150 | CIVWestern Africa | 0.633 |
| 151 | CODMiddle Africa | 0.640 |
| 152 | QATWestern Asia | 0.649 |
| 153 | NERWestern Africa | 0.657 |
| 154 | BENWestern Africa | 0.659 |
| 155 | LBRWestern Africa | 0.662 |
| 156 | MLIWestern Africa | 0.671 |
| 157 | NGAWestern Africa | 0.679 |
| 158 | AFGSouthern Asia | 0.682 |
| 159 | TONPolynesia | 0.769 |
| 160 | VUTMelanesia | 0.800 |
| 161 | YEMWestern Asia | 0.824 |
| 162 | HTICaribbean | 0.840 |
02In 2016
At either end
The 5 countries at each end of the headline.
Highest
- #162
Haiti0.840
- #161
Yemen0.824
- #160
Vanuatu0.800
- #159
Tonga0.769
- #158
Afghanistan0.682
Lowest
- #1
Netherlands0.031
- #2
Denmark0.033
- #3
Norway0.034
- #4
Sweden0.036
- #5
Switzerland0.038
A higher value is the worse result. The middle country reads 0.370. “Shared” marks a value another country also holds.
032015 → 2016
Since 2015
What changed between 2015 and this one: who joined or left, and how far the headline moved.
- +2 / −0countries joined / left
- 153values changed, of 160 in both
- 19 · 134rose · fell
- 7unchanged
Rose most
Fell most
Egypt0.542 → 0.412−0.130
Iran0.532 → 0.470−0.062
Georgia0.360 → 0.321−0.039
Jordan0.477 → 0.442−0.035
Tajikistan0.335 → 0.305−0.030
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 2016.
138 distinct values among 162
Values are stored exactly as published, to 3 decimals. 5 countries share 0.370. 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 162 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
162 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-2016-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 (2016). Gender Inequality Index, 2016 [data set], describing 2016. As held by Nations Inquiry, https://nationsinquiry.com/datasets/gender-inequality/2016
0634 held
Other years
‹ The year before
Gender Inequality Index, 2015160 countries
The year after ›
Gender Inequality Index, 2017163 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, 2016: questions and answers
Which country has the highest Gender Inequality Index in Gender Inequality Index, 2016?
Haiti, at 0.840, of the 162 countries in the file.
What year does Gender Inequality Index, 2016 describe?
2016.
How many countries does Gender Inequality Index, 2016 cover?
162.
Where can I download Gender Inequality Index, 2016?
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, 2016 the newest?
No. The newest held here is Gender Inequality Index, 2023.