Data for 2013
Gender Development Index, 2013
2013, as UNDP Human Development Report Office’s 2025 release gives it · stored as published, never rewritten
Gender Development Index, 2013 covers 173 countries. Mongolia is highest, at 1.038; Yemen is lowest, at 0.599. The middle country reads 0.960. Against 2012, 157 values changed (97 up, 60 down), the same countries are covered.
Gender Development Index · Data for 2013
HighestMongolia
1.038LowestYemen
0.599Shaded 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, 2013, 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 | NORNorthern Europe | 1.000 |
| 2 | PANCentral America | 1.001 |
| =3 | DOMCaribbean | 0.998 |
| =3 | NAMSouthern Africa | 1.002 |
| =3 | VNMSouth-eastern Asia | 0.998 |
| 6 | LCACaribbean | 1.003 |
| 7 | BGREastern Europe | 0.997 |
| =8 | LSOSouthern Africa | 0.996 |
| =8 | SVNSouthern Europe | 0.996 |
| 10 | BRNSouth-eastern Asia | 0.995 |
| =11 | BHSCaribbean | 1.006 |
| =11 | BRASouth America | 0.994 |
| =11 | COLSouth America | 0.994 |
| =11 | HNDCentral America | 0.994 |
| =11 | QATWestern Asia | 1.006 |
| 16 | THASouth-eastern Asia | 1.007 |
| =17 | ARGSouth America | 0.993 |
| =17 | PHLSouth-eastern Asia | 0.993 |
| =17 | USANorthern America | 0.993 |
| =20 | HUNEastern Europe | 0.992 |
| =20 | KWTWestern Asia | 1.008 |
| =22 | PRTSouthern Europe | 0.991 |
| =22 | SVKEastern Europe | 0.991 |
| =24 | CPVWestern Africa | 0.989 |
| =24 | HRVSouthern Europe | 0.989 |
| =24 | FINNorthern Europe | 0.989 |
| =24 | SYCEastern Africa | 0.989 |
| =24 | SURSouth America | 0.989 |
| 29 | POLEastern Europe | 1.012 |
| 30 | SWENorthern Europe | 0.987 |
| =31 | ESTNorthern Europe | 1.014 |
| =31 | JAMCaribbean | 1.014 |
| =31 | SGPSouth-eastern Asia | 0.986 |
| =34 | FRAWestern Europe | 0.985 |
| =34 | SMRSouthern Europe | 0.985 |
| =34 | TTOCaribbean | 0.985 |
| =37 | CANNorthern America | 0.984 |
| =37 | GABMiddle Africa | 0.984 |
| =37 | PLWMicronesia | 0.984 |
| =37 | UKREastern Europe | 1.016 |
| 41 | DNKNorthern Europe | 0.983 |
| =42 | CZEEastern Europe | 0.982 |
| =42 | SLVCentral America | 0.982 |
| =42 | VENSouth America | 1.018 |
| =45 | BRBCaribbean | 1.019 |
| =45 | KAZCentral Asia | 1.019 |
| =47 | CRICentral America | 0.981 |
| =47 | PRYSouth America | 0.981 |
| =47 | ROUEastern Europe | 0.981 |
| =47 | ESPSouthern Europe | 0.981 |
| =51 | ECUSouth America | 0.980 |
| =51 | LUXWestern Europe | 0.980 |
| =51 | MDAEastern Europe | 1.020 |
| =51 | TONPolynesia | 0.980 |
| =51 | URYSouth America | 1.020 |
| 56 | BLREastern Europe | 1.023 |
| 57 | ZAFSouthern Africa | 0.977 |
| =58 | ARMWestern Asia | 0.975 |
| =58 | CYPWestern Asia | 0.975 |
| =58 | SRBSouthern Europe | 0.975 |
| =61 | GEOWestern Asia | 0.974 |
| =61 | LVANorthern Europe | 1.026 |
| =61 | LBYNorthern Africa | 0.974 |
| 64 | RUSEastern Europe | 1.027 |
| =65 | BWASouthern Africa | 0.971 |
| =65 | ISRWestern Asia | 0.971 |
| =65 | NZLAustralia and New Zealand | 0.971 |
| =68 | AUTWestern Europe | 0.970 |
| =68 | IRLNorthern Europe | 0.970 |
| 70 | LTUNorthern Europe | 1.031 |
| 71 | ITASouthern Europe | 0.969 |
| 72 | NICCentral America | 0.968 |
| =73 | BELWestern Europe | 0.967 |
| =73 | MYSSouth-eastern Asia | 0.967 |
| =73 | GBRNorthern Europe | 0.967 |
| =76 | GRCSouthern Europe | 0.966 |
| =76 | CHEWestern Europe | 0.966 |
| =78 | HKGEastern Asia | 0.964 |
| =78 | KGZCentral Asia | 0.964 |
| =78 | MNESouthern Europe | 0.964 |
| =78 | UZBCentral Asia | 0.964 |
| 82 | ALBSouthern Europe | 0.963 |
| =83 | AUSAustralia and New Zealand | 0.962 |
| =83 | MNGEastern Asia | 1.038 |
| =85 | BLZCentral America | 0.961 |
| =85 | ISLNorthern Europe | 0.961 |
| 87 | CHLSouth America | 0.960 |
| 88 | JPNEastern Asia | 0.959 |
| =89 | MLTSouthern Europe | 0.958 |
| =89 | MUSEastern Africa | 0.958 |
| =89 | LKASouthern Asia | 0.958 |
| =89 | AREWestern Asia | 0.958 |
| 93 | WSMPolynesia | 0.957 |
| 94 | NLDWestern Europe | 0.956 |
| 95 | LIEWestern Europe | 0.955 |
| =96 | BTNSouthern Asia | 0.954 |
| =96 | CUBCaribbean | 0.954 |
| =96 | DEUWestern Europe | 0.954 |
| =96 | MDVSouthern Asia | 0.954 |
| =96 | MEXCentral America | 0.954 |
| 101 | KIRMicronesia | 0.953 |
| 102 | LBNWestern Asia | 0.952 |
| 103 | NRUMicronesia | 0.951 |
| 104 | CHNEastern Asia | 0.950 |
| 105 | PERSouth America | 0.948 |
| 106 | RWAEastern Africa | 0.947 |
| =107 | BHRWestern Asia | 0.946 |
| =107 | FJIMelanesia | 0.946 |
| 109 | MKDSouthern Europe | 0.942 |
| 110 | AZEWestern Asia | 0.941 |
| 111 | MDGEastern Africa | 0.940 |
| =112 | BIHSouthern Europe | 0.935 |
| =112 | STPMiddle Africa | 0.935 |
| =112 | KOREastern Asia | 0.935 |
| 115 | BOLSouth America | 0.934 |
| 116 | VUTMelanesia | 0.933 |
| =117 | KENEastern Africa | 0.932 |
| =117 | OMNWestern Asia | 0.932 |
| =117 | TUVPolynesia | 0.932 |
| 120 | IDNSouth-eastern Asia | 0.926 |
| =121 | GTMCentral America | 0.925 |
| =121 | TZAEastern Africa | 0.925 |
| =121 | TLSSouth-eastern Asia | 0.925 |
| =124 | MHLMicronesia | 0.923 |
| =124 | SLBMelanesia | 0.923 |
| =126 | BDIEastern Africa | 0.920 |
| =126 | TURWestern Asia | 0.920 |
| 128 | ZWEEastern Africa | 0.918 |
| 129 | UGAEastern Africa | 0.917 |
| 130 | SAUWestern Asia | 0.914 |
| 131 | KHMSouth-eastern Asia | 0.911 |
| 132 | MOZEastern Africa | 0.909 |
| =133 | NPLSouthern Asia | 0.908 |
| =133 | PNGMelanesia | 0.908 |
| 135 | GHAWestern Africa | 0.903 |
| 136 | HTICaribbean | 0.902 |
| 137 | LAOSouth-eastern Asia | 0.901 |
| 138 | TUNNorthern Africa | 0.900 |
| 139 | MWIEastern Africa | 0.899 |
| =140 | SENWestern Africa | 0.897 |
| =140 | ZMBEastern Africa | 0.897 |
| 142 | TJKCentral Asia | 0.895 |
| 143 | COGMiddle Africa | 0.893 |
| =144 | BGDSouthern Asia | 0.889 |
| =144 | EGYNorthern Africa | 0.889 |
| 146 | BFAWestern Africa | 0.879 |
| 147 | CMRMiddle Africa | 0.878 |
| =148 | COMEastern Africa | 0.876 |
| =148 | GMBWestern Africa | 0.876 |
| 150 | CIVWestern Africa | 0.873 |
| =151 | DZANorthern Africa | 0.868 |
| =151 | MLIWestern Africa | 0.868 |
| =151 | MRTWestern Africa | 0.868 |
| 154 | IRNSouthern Asia | 0.866 |
| 155 | JORWestern Asia | 0.862 |
| 156 | AGOMiddle Africa | 0.860 |
| 157 | PSEWestern Asia | 0.859 |
| 158 | ETHEastern Africa | 0.853 |
| 159 | NGAWestern Africa | 0.846 |
| 160 | SDNNorthern Africa | 0.843 |
| =161 | MARNorthern Africa | 0.842 |
| =161 | SYRWestern Asia | 0.842 |
| 163 | BENWestern Africa | 0.841 |
| 164 | INDSouthern Asia | 0.838 |
| 165 | CODMiddle Africa | 0.835 |
| 166 | TGOWestern Africa | 0.829 |
| =167 | LBRWestern Africa | 0.819 |
| =167 | SLEWestern Africa | 0.819 |
| 169 | IRQWestern Asia | 0.793 |
| 170 | NERWestern Africa | 0.772 |
| 171 | PAKSouthern Asia | 0.742 |
| 172 | AFGSouthern Asia | 0.681 |
| 173 | YEMWestern Asia | 0.599 |
02In 2013
At either end
The 5 countries at each end of the headline.
032012 → 2013
Since 2012
What changed between 2012 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 157values changed, of 173 in both
- 97 · 60rose · fell
- 16unchanged
Rose most
Niger0.703 → 0.772+0.069
Pakistan0.700 → 0.742+0.042
Uganda0.879 → 0.917+0.038
Côte d’Ivoire0.844 → 0.873+0.029
Afghanistan0.653 → 0.681+0.028
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 2013.
111 distinct values among 173
Values are stored exactly as published, to 3 decimals. 5 countries share 0.989. 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-2013-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 (2013). Gender Development Index, 2013 [data set], describing 2013. As held by Nations Inquiry, https://nationsinquiry.com/datasets/gender-development/2013
0634 held
Other years
‹ The year before
Gender Development Index, 2012173 countries
The year after ›
Gender Development Index, 2014174 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, 2013: questions and answers
Which country has the highest Gender Development Index in Gender Development Index, 2013?
Mongolia, at 1.038, of the 173 countries in the file.
What year does Gender Development Index, 2013 describe?
2013.
How many countries does Gender Development Index, 2013 cover?
173.
Where can I download Gender Development Index, 2013?
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, 2013 the newest?
No. The newest held here is Gender Development Index, 2023.