Data for 2010
Gender Inequality Index, 2010
2010, as UNDP Human Development Report Office’s 2025 release gives it · stored as published, never rewritten
Gender Inequality Index, 2010 covers 154 countries. Tonga is highest, at 0.767; Denmark is lowest, at 0.048. The middle country reads 0.408. Against 2009, 138 values changed (29 up, 109 down), 6 countries joined.
Gender Inequality Index · Data for 2010
HighestTonga
0.767LowestDenmark
0.048Shaded 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, 2010, 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 | 0.048 |
| 2 | SWENorthern Europe | 0.050 |
| 3 | NLDWestern Europe | 0.052 |
| 4 | CHEWestern Europe | 0.056 |
| 5 | NORNorthern Europe | 0.070 |
| 6 | FINNorthern Europe | 0.073 |
| 7 | SGPSouth-eastern Asia | 0.075 |
| 8 | KOREastern Asia | 0.078 |
| 9 | BELWestern Europe | 0.090 |
| 10 | ISLNorthern Europe | 0.093 |
| 11 | DEUWestern Europe | 0.096 |
| 12 | ESPSouthern Europe | 0.104 |
| 13 | AUTWestern Europe | 0.105 |
| 14 | LUXWestern Europe | 0.112 |
| 15 | JPNEastern Asia | 0.118 |
| 16 | ITASouthern Europe | 0.123 |
| =17 | PRTSouthern Europe | 0.127 |
| =17 | SVNSouthern Europe | 0.127 |
| 19 | FRAWestern Europe | 0.129 |
| 20 | HRVSouthern Europe | 0.135 |
| =21 | AUSAustralia and New Zealand | 0.137 |
| =21 | CANNorthern America | 0.137 |
| 23 | CZEEastern Europe | 0.141 |
| 24 | ISRWestern Asia | 0.144 |
| 25 | BLREastern Europe | 0.149 |
| 26 | LTUNorthern Europe | 0.150 |
| 27 | GRCSouthern Europe | 0.156 |
| 28 | ESTNorthern Europe | 0.159 |
| 29 | IRLNorthern Europe | 0.163 |
| =30 | NZLAustralia and New Zealand | 0.165 |
| =30 | AREWestern Asia | 0.165 |
| 32 | POLEastern Europe | 0.170 |
| 33 | GBRNorthern Europe | 0.178 |
| 34 | MKDSouthern Europe | 0.180 |
| 35 | CYPWestern Asia | 0.191 |
| 36 | ALBSouthern Europe | 0.192 |
| 37 | SVKEastern Europe | 0.203 |
| 38 | KWTWestern Asia | 0.207 |
| 39 | SRBSouthern Europe | 0.208 |
| 40 | MNESouthern Europe | 0.210 |
| 41 | CHNEastern Asia | 0.226 |
| 42 | BGREastern Europe | 0.228 |
| 43 | LVANorthern Europe | 0.229 |
| 44 | MDAEastern Europe | 0.239 |
| 45 | USANorthern America | 0.245 |
| 46 | HUNEastern Europe | 0.250 |
| 47 | BHRWestern Asia | 0.253 |
| 48 | MYSSouth-eastern Asia | 0.262 |
| 49 | MLTSouthern Europe | 0.263 |
| 50 | KAZCentral Asia | 0.270 |
| 51 | UZBCentral Asia | 0.272 |
| 52 | RUSEastern Europe | 0.274 |
| 53 | TUNNorthern Africa | 0.275 |
| 54 | LBYNorthern Africa | 0.294 |
| 55 | CRICentral America | 0.315 |
| 56 | URYSouth America | 0.318 |
| =57 | CUBCaribbean | 0.330 |
| =57 | OMNWestern Asia | 0.330 |
| 59 | TTOCaribbean | 0.332 |
| 60 | AZEWestern Asia | 0.333 |
| 61 | VNMSouth-eastern Asia | 0.335 |
| 62 | ROUEastern Europe | 0.342 |
| 63 | CHLSouth America | 0.350 |
| 64 | ARMWestern Asia | 0.352 |
| 65 | BRBCaribbean | 0.356 |
| 66 | TJKCentral Asia | 0.357 |
| =67 | KGZCentral Asia | 0.368 |
| =67 | THASouth-eastern Asia | 0.368 |
| 69 | LCACaribbean | 0.369 |
| =70 | ARGSouth America | 0.370 |
| =70 | MUSEastern Africa | 0.370 |
| 72 | BHSCaribbean | 0.371 |
| 73 | FJIMelanesia | 0.390 |
| 74 | MDVSouthern Asia | 0.395 |
| 75 | PERSouth America | 0.396 |
| 76 | SLVCentral America | 0.398 |
| 77 | BLZCentral America | 0.406 |
| 78 | LKASouthern Asia | 0.410 |
| 79 | TURWestern Asia | 0.411 |
| 80 | MNGEastern Asia | 0.416 |
| 81 | MEXCentral America | 0.418 |
| =82 | GEOWestern Asia | 0.430 |
| =82 | JAMCaribbean | 0.430 |
| 84 | ECUSouth America | 0.431 |
| 85 | LBNWestern Asia | 0.433 |
| 86 | ZAFSouthern Africa | 0.441 |
| =87 | BTNSouthern Asia | 0.442 |
| =87 | PHLSouth-eastern Asia | 0.442 |
| 89 | BRASouth America | 0.447 |
| 90 | RWAEastern Africa | 0.451 |
| 91 | COLSouth America | 0.454 |
| 92 | HNDCentral America | 0.473 |
| 93 | NICCentral America | 0.478 |
| 94 | DOMCaribbean | 0.479 |
| 95 | BOLSouth America | 0.480 |
| 96 | PANCentral America | 0.482 |
| 97 | PRYSouth America | 0.483 |
| 98 | VENSouth America | 0.488 |
| 99 | JORWestern Asia | 0.489 |
| =100 | IDNSouth-eastern Asia | 0.494 |
| =100 | SYRWestern Asia | 0.494 |
| 102 | DZANorthern Africa | 0.508 |
| 103 | BWASouthern Africa | 0.509 |
| 104 | KHMSouth-eastern Asia | 0.515 |
| 105 | SURSouth America | 0.516 |
| 106 | GABMiddle Africa | 0.523 |
| 107 | GTMCentral America | 0.526 |
| 108 | NPLSouthern Asia | 0.529 |
| 109 | TLSSouth-eastern Asia | 0.531 |
| 110 | LAOSouth-eastern Asia | 0.533 |
| 111 | STPMiddle Africa | 0.535 |
| =112 | BDIEastern Africa | 0.536 |
| =112 | VUTMelanesia | 0.536 |
| 114 | NAMSouthern Africa | 0.541 |
| =115 | IRNSouthern Asia | 0.545 |
| =115 | MOZEastern Africa | 0.545 |
| 117 | UGAEastern Africa | 0.551 |
| 118 | EGYNorthern Africa | 0.552 |
| 119 | MARNorthern Africa | 0.554 |
| 120 | AGOMiddle Africa | 0.556 |
| 121 | TZAEastern Africa | 0.564 |
| 122 | INDSouthern Asia | 0.566 |
| 123 | GHAWestern Africa | 0.571 |
| 124 | SENWestern Africa | 0.575 |
| 125 | ZMBEastern Africa | 0.579 |
| 126 | LSOSouthern Africa | 0.590 |
| =127 | PAKSouthern Asia | 0.595 |
| =127 | ZWEEastern Africa | 0.595 |
| 129 | BFAWestern Africa | 0.599 |
| 130 | ETHEastern Africa | 0.601 |
| 131 | BGDSouthern Asia | 0.603 |
| =132 | KENEastern Africa | 0.607 |
| =132 | SDNNorthern Africa | 0.607 |
| 134 | IRQWestern Asia | 0.612 |
| 135 | HTICaribbean | 0.613 |
| 136 | MWIEastern Africa | 0.614 |
| 137 | CMRMiddle Africa | 0.620 |
| 138 | COGMiddle Africa | 0.621 |
| 139 | TGOWestern Africa | 0.626 |
| 140 | BENWestern Africa | 0.637 |
| 141 | CIVWestern Africa | 0.643 |
| =142 | LBRWestern Africa | 0.644 |
| =142 | MRTWestern Africa | 0.644 |
| 144 | SLEWestern Africa | 0.652 |
| 145 | CODMiddle Africa | 0.653 |
| 146 | GMBWestern Africa | 0.659 |
| 147 | QATWestern Asia | 0.663 |
| 148 | MLIWestern Africa | 0.666 |
| 149 | NGAWestern Africa | 0.670 |
| 150 | PNGMelanesia | 0.682 |
| 151 | NERWestern Africa | 0.692 |
| 152 | AFGSouthern Asia | 0.704 |
| 153 | SAUWestern Asia | 0.754 |
| 154 | TONPolynesia | 0.767 |
02In 2010
At either end
The 5 countries at each end of the headline.
Highest
- #154
Tonga0.767
- #153
Saudi Arabia0.754
- #152
Afghanistan0.704
- #151
Niger0.692
- #150
Papua New Guinea0.682
Lowest
- #1
Denmark0.048
- #2
Sweden0.050
- #3
Netherlands0.052
- #4
Switzerland0.056
- #5
Norway0.070
A higher value is the worse result. The middle country reads 0.408. “Shared” marks a value another country also holds.
032009 → 2010
Since 2009
What changed between 2009 and this one: who joined or left, and how far the headline moved.
- +6 / −0countries joined / left
- 138values changed, of 148 in both
- 29 · 109rose · fell
- 10unchanged
Rose most
Tonga0.485 → 0.767+0.282
Suriname0.470 → 0.516+0.046
Kyrgyzstan0.354 → 0.368+0.014
Mali0.652 → 0.666+0.014
Trinidad and Tobago0.318 → 0.332+0.014
Fell most
São Tomé and Príncipe0.583 → 0.535−0.048
Sudan0.635 → 0.607−0.028
Jordan0.514 → 0.489−0.025
Colombia0.478 → 0.454−0.024
Georgia0.453 → 0.430−0.023
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 2010.
140 distinct values among 154
Values are stored exactly as published, to 3 decimals. 2 countries share 0.127. 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-2010-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 (2010). Gender Inequality Index, 2010 [data set], describing 2010. As held by Nations Inquiry, https://nationsinquiry.com/datasets/gender-inequality/2010
0634 held
Other years
‹ The year before
Gender Inequality Index, 2009148 countries
The year after ›
Gender Inequality Index, 2011154 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, 2010: questions and answers
Which country has the highest Gender Inequality Index in Gender Inequality Index, 2010?
Tonga, at 0.767, of the 154 countries in the file.
What year does Gender Inequality Index, 2010 describe?
2010.
How many countries does Gender Inequality Index, 2010 cover?
154.
Where can I download Gender Inequality Index, 2010?
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, 2010 the newest?
No. The newest held here is Gender Inequality Index, 2023.