Data for 2012
Gender Development Index, 2012
2012, as UNDP Human Development Report Office’s 2025 release gives it · stored as published, never rewritten
Gender Development Index, 2012 covers 173 countries. Lithuania is highest, at 1.038; Yemen is lowest, at 0.612. The middle country reads 0.962. Against 2011, 152 values changed (95 up, 57 down), the same countries are covered.
Gender Development Index · Data for 2012
HighestLithuania
1.038LowestYemen
0.612Shaded by value in five groups of equal size, darkest at the better end.
01Position · derived
The table
Every country and every column of Gender Development Index, 2012, as published. UNDP Human Development Report Office ranks nobody on this measure; the position is derived here by ordering the published values. “=” marks a shared position.
Showing 25 of 173 countries · select a heading to sort
| derived | ||
|---|---|---|
| 1 | FINNorthern Europe | 1.000 |
| 2 | NORNorthern Europe | 1.001 |
| 3 | DOMCaribbean | 1.002 |
| 4 | LSOSouthern Africa | 0.996 |
| =5 | PANCentral America | 1.005 |
| =5 | LCACaribbean | 1.005 |
| =5 | SVNSouthern Europe | 1.005 |
| =8 | ARGSouth America | 0.995 |
| =8 | KWTWestern Asia | 0.995 |
| =10 | BRASouth America | 0.994 |
| =10 | BGREastern Europe | 0.994 |
| =10 | VNMSouth-eastern Asia | 0.994 |
| 13 | THASouth-eastern Asia | 1.007 |
| =14 | COLSouth America | 0.993 |
| =14 | HUNEastern Europe | 0.993 |
| =14 | NAMSouthern Africa | 0.993 |
| =14 | PHLSouth-eastern Asia | 0.993 |
| =18 | SVKEastern Europe | 0.992 |
| =18 | SURSouth America | 0.992 |
| =18 | SWENorthern Europe | 0.992 |
| =18 | USANorthern America | 0.992 |
| 22 | BHSCaribbean | 1.009 |
| =23 | BRNSouth-eastern Asia | 0.991 |
| =23 | PRTSouthern Europe | 0.991 |
| 25 | JAMCaribbean | 1.011 |
| =26 | CPVWestern Africa | 0.988 |
| =26 | KAZCentral Asia | 1.012 |
| =26 | POLEastern Europe | 1.012 |
| 29 | SGPSouth-eastern Asia | 0.987 |
| =30 | HRVSouthern Europe | 0.986 |
| =30 | FRAWestern Europe | 0.986 |
| =30 | SMRSouthern Europe | 0.986 |
| =33 | MDAEastern Europe | 1.015 |
| =33 | QATWestern Asia | 1.015 |
| =33 | UKREastern Europe | 1.015 |
| 36 | PLWMicronesia | 0.985 |
| =37 | BRBCaribbean | 1.016 |
| =37 | TTOCaribbean | 0.984 |
| =39 | CANNorthern America | 0.983 |
| =39 | ECUSouth America | 0.983 |
| =41 | DNKNorthern Europe | 0.982 |
| =41 | HNDCentral America | 0.982 |
| =41 | SYCEastern Africa | 0.982 |
| =44 | GABMiddle Africa | 0.981 |
| =44 | LUXWestern Europe | 0.981 |
| =44 | ROUEastern Europe | 0.981 |
| =44 | ESPSouthern Europe | 0.981 |
| =48 | CRICentral America | 0.980 |
| =48 | NICCentral America | 0.980 |
| =48 | TONPolynesia | 0.980 |
| =48 | VENSouth America | 1.020 |
| 52 | PRYSouth America | 0.978 |
| 53 | URYSouth America | 1.023 |
| =54 | ARMWestern Asia | 0.977 |
| =54 | CZEEastern Europe | 0.977 |
| =56 | ESTNorthern Europe | 1.024 |
| =56 | LBYNorthern Africa | 0.976 |
| 58 | AUTWestern Europe | 0.975 |
| 59 | KGZCentral Asia | 0.974 |
| =60 | GEOWestern Asia | 0.973 |
| =60 | MYSSouth-eastern Asia | 0.973 |
| =62 | BLREastern Europe | 1.028 |
| =62 | CYPWestern Asia | 0.972 |
| =62 | IRLNorthern Europe | 0.972 |
| =62 | NZLAustralia and New Zealand | 0.972 |
| =62 | ZAFSouthern Africa | 0.972 |
| 67 | RUSEastern Europe | 1.029 |
| =68 | SLVCentral America | 0.971 |
| =68 | ITASouthern Europe | 0.971 |
| =68 | WSMPolynesia | 0.971 |
| =71 | BLZCentral America | 0.970 |
| =71 | ISRWestern Asia | 0.970 |
| 73 | BELWestern Europe | 0.968 |
| 74 | LVANorthern Europe | 1.033 |
| =75 | BTNSouthern Asia | 0.967 |
| =75 | GRCSouthern Europe | 0.967 |
| 77 | GBRNorthern Europe | 0.966 |
| 78 | BWASouthern Africa | 0.965 |
| =79 | MNESouthern Europe | 0.964 |
| =79 | CHEWestern Europe | 0.964 |
| 81 | MNGEastern Asia | 1.037 |
| =82 | ALBSouthern Europe | 0.963 |
| =82 | SRBSouthern Europe | 0.963 |
| =84 | AUSAustralia and New Zealand | 0.962 |
| =84 | HKGEastern Asia | 0.962 |
| =84 | LTUNorthern Europe | 1.038 |
| =84 | UZBCentral Asia | 0.962 |
| =88 | ISLNorthern Europe | 0.961 |
| =88 | AREWestern Asia | 0.961 |
| =90 | CHLSouth America | 0.958 |
| =90 | JPNEastern Asia | 0.958 |
| =90 | LIEWestern Europe | 0.958 |
| 93 | NLDWestern Europe | 0.956 |
| 94 | KIRMicronesia | 0.955 |
| =95 | DEUWestern Europe | 0.953 |
| =95 | MUSEastern Africa | 0.953 |
| =97 | MLTSouthern Europe | 0.952 |
| =97 | MEXCentral America | 0.952 |
| =99 | CHNEastern Asia | 0.951 |
| =99 | CUBCaribbean | 0.951 |
| =99 | MDVSouthern Asia | 0.951 |
| 102 | FJIMelanesia | 0.950 |
| =103 | BHRWestern Asia | 0.949 |
| =103 | LKASouthern Asia | 0.949 |
| 105 | PERSouth America | 0.947 |
| =106 | LBNWestern Asia | 0.945 |
| =106 | NRUMicronesia | 0.945 |
| 108 | RWAEastern Africa | 0.942 |
| 109 | BIHSouthern Europe | 0.939 |
| 110 | MKDSouthern Europe | 0.938 |
| 111 | AZEWestern Asia | 0.937 |
| =112 | BOLSouth America | 0.934 |
| =112 | KOREastern Asia | 0.934 |
| 114 | STPMiddle Africa | 0.933 |
| 115 | VUTMelanesia | 0.932 |
| 116 | TUVPolynesia | 0.931 |
| 117 | KENEastern Africa | 0.930 |
| 118 | IDNSouth-eastern Asia | 0.929 |
| =119 | SLBMelanesia | 0.928 |
| =119 | TZAEastern Africa | 0.928 |
| 121 | GTMCentral America | 0.925 |
| =122 | MDGEastern Africa | 0.924 |
| =122 | MHLMicronesia | 0.924 |
| 124 | OMNWestern Asia | 0.920 |
| =125 | BDIEastern Africa | 0.916 |
| =125 | TURWestern Asia | 0.916 |
| 127 | SAUWestern Asia | 0.911 |
| 128 | TLSSouth-eastern Asia | 0.910 |
| =129 | MWIEastern Africa | 0.905 |
| =129 | NPLSouthern Asia | 0.905 |
| =131 | PNGMelanesia | 0.904 |
| =131 | ZWEEastern Africa | 0.904 |
| 133 | KHMSouth-eastern Asia | 0.902 |
| 134 | HTICaribbean | 0.901 |
| 135 | MOZEastern Africa | 0.900 |
| 136 | LAOSouth-eastern Asia | 0.897 |
| =137 | SENWestern Africa | 0.896 |
| =137 | TUNNorthern Africa | 0.896 |
| =139 | GHAWestern Africa | 0.895 |
| =139 | ZMBEastern Africa | 0.895 |
| 141 | EGYNorthern Africa | 0.894 |
| 142 | TJKCentral Asia | 0.892 |
| 143 | COGMiddle Africa | 0.887 |
| 144 | UGAEastern Africa | 0.879 |
| 145 | IRNSouthern Asia | 0.878 |
| 146 | BFAWestern Africa | 0.875 |
| =147 | CMRMiddle Africa | 0.873 |
| =147 | MRTWestern Africa | 0.873 |
| 149 | COMEastern Africa | 0.872 |
| 150 | BGDSouthern Asia | 0.868 |
| =151 | GMBWestern Africa | 0.867 |
| =151 | JORWestern Asia | 0.867 |
| 153 | DZANorthern Africa | 0.865 |
| 154 | ETHEastern Africa | 0.864 |
| 155 | PSEWestern Asia | 0.856 |
| =156 | MLIWestern Africa | 0.850 |
| =156 | SYRWestern Asia | 0.850 |
| 158 | NGAWestern Africa | 0.848 |
| 159 | AGOMiddle Africa | 0.847 |
| 160 | CIVWestern Africa | 0.844 |
| =161 | MARNorthern Africa | 0.838 |
| =161 | SDNNorthern Africa | 0.838 |
| 163 | BENWestern Africa | 0.836 |
| 164 | INDSouthern Asia | 0.826 |
| 165 | TGOWestern Africa | 0.818 |
| 166 | CODMiddle Africa | 0.817 |
| 167 | SLEWestern Africa | 0.816 |
| 168 | LBRWestern Africa | 0.813 |
| 169 | IRQWestern Asia | 0.786 |
| 170 | NERWestern Africa | 0.703 |
| 171 | PAKSouthern Asia | 0.700 |
| 172 | AFGSouthern Asia | 0.653 |
| 173 | YEMWestern Asia | 0.612 |
02In 2012
At either end
The 5 countries at each end of the headline.
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
- 152values changed, of 173 in both
- 95 · 57rose · fell
- 21unchanged
Rose most
Fell most
Uganda0.918 → 0.879−0.039
Afghanistan0.685 → 0.653−0.032
Côte d’Ivoire0.871 → 0.844−0.027
Pakistan0.727 → 0.700−0.027
Niger0.729 → 0.703−0.026
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.
114 distinct values among 173
Values are stored exactly as published, to 3 decimals. 4 countries share 0.993. Countries sharing a value share a position too.
The position is ours
UNDP Human Development Report Office publishes values only; the order is this site’s.
Nothing missing
Every one of the 173 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
173 rows · 4.8 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download gender-development-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 Development Index, 2012 [data set], describing 2012. As held by Nations Inquiry, https://nationsinquiry.com/datasets/gender-development/2012
0634 held
Other years
‹ The year before
Gender Development Index, 2011173 countries
The year after ›
Gender Development Index, 2013173 countries
All of them
Gender Development Index: every year34 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Gender Development Index, 2012: questions and answers
Which country has the highest Gender Development Index in Gender Development Index, 2012?
Lithuania, at 1.038, of the 173 countries in the file.
What year does Gender Development Index, 2012 describe?
2012.
How many countries does Gender Development Index, 2012 cover?
173.
Where can I download Gender Development 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 Development Index, 2012 the newest?
No. The newest held here is Gender Development Index, 2023.