Data for 2005
Gender Development Index, 2005
2005, as UNDP Human Development Report Office’s 2025 release gives it · stored as published, never rewritten
Gender Development Index, 2005 covers 160 countries. Russia is highest, at 1.053; Yemen is lowest, at 0.604. The middle country reads 0.950. Against 2004, 132 values changed (92 up, 40 down), 14 countries joined.
Gender Development Index · Data for 2005
HighestRussia
1.053LowestYemen
0.604Shaded 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, 2005, 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 160 countries · select a heading to sort
| derived | ||
|---|---|---|
| 1 | FINNorthern Europe | 1.000 |
| =2 | ARGSouth America | 0.999 |
| =2 | NORNorthern Europe | 0.999 |
| =2 | PRTSouthern Europe | 0.999 |
| =5 | BHSCaribbean | 1.002 |
| =5 | QATWestern Asia | 1.002 |
| =5 | SVNSouthern Europe | 1.002 |
| 8 | BRBCaribbean | 1.003 |
| 9 | MDAEastern Europe | 0.997 |
| =10 | BRASouth America | 0.996 |
| =10 | KWTWestern Asia | 1.004 |
| =10 | PHLSouth-eastern Asia | 0.996 |
| 13 | POLEastern Europe | 1.005 |
| 14 | HUNEastern Europe | 0.994 |
| =15 | DNKNorthern Europe | 0.991 |
| =15 | JAMCaribbean | 0.991 |
| =15 | SWENorthern Europe | 0.991 |
| =18 | USANorthern America | 0.990 |
| =18 | VENSouth America | 0.990 |
| =20 | COLSouth America | 0.988 |
| =20 | SVKEastern Europe | 0.988 |
| 22 | LCACaribbean | 1.013 |
| 23 | BGREastern Europe | 0.987 |
| =24 | SMRSouthern Europe | 1.014 |
| =24 | URYSouth America | 1.014 |
| 26 | UKREastern Europe | 1.015 |
| =27 | BRNSouth-eastern Asia | 0.985 |
| =27 | FRAWestern Europe | 0.985 |
| 29 | KAZCentral Asia | 1.017 |
| 30 | AREWestern Asia | 0.983 |
| 31 | GABMiddle Africa | 0.982 |
| =32 | CANNorthern America | 0.980 |
| =32 | PANCentral America | 0.980 |
| =34 | HRVSouthern Europe | 0.979 |
| =34 | HNDCentral America | 0.979 |
| 36 | THASouth-eastern Asia | 0.978 |
| =37 | LUXWestern Europe | 0.975 |
| =37 | ESPSouthern Europe | 0.975 |
| =39 | BLREastern Europe | 1.026 |
| =39 | ROUEastern Europe | 0.974 |
| =39 | TTOCaribbean | 0.974 |
| 42 | SGPSouth-eastern Asia | 0.973 |
| =43 | IRLNorthern Europe | 0.972 |
| =43 | KGZCentral Asia | 0.972 |
| =45 | CRICentral America | 0.971 |
| =45 | NZLAustralia and New Zealand | 0.971 |
| =47 | SURSouth America | 0.969 |
| =47 | TONPolynesia | 0.969 |
| =49 | BHRWestern Asia | 0.968 |
| =49 | ESTNorthern Europe | 1.032 |
| =51 | BELWestern Europe | 0.967 |
| =51 | CZEEastern Europe | 0.967 |
| =51 | ISLNorthern Europe | 0.967 |
| =54 | AUTWestern Europe | 0.964 |
| =54 | LIEWestern Europe | 0.964 |
| 56 | LTUNorthern Europe | 1.037 |
| =57 | ITASouthern Europe | 0.963 |
| =57 | GBRNorthern Europe | 0.963 |
| 59 | DOMCaribbean | 0.962 |
| =60 | JPNEastern Asia | 0.961 |
| =60 | VNMSouth-eastern Asia | 0.961 |
| =62 | CYPWestern Asia | 0.960 |
| =62 | GRCSouthern Europe | 0.960 |
| =64 | AUSAustralia and New Zealand | 0.959 |
| =64 | ISRWestern Asia | 0.959 |
| =66 | MNGEastern Asia | 1.042 |
| =66 | ZAFSouthern Africa | 0.958 |
| =66 | UZBCentral Asia | 0.958 |
| =69 | ARMWestern Asia | 0.956 |
| =69 | NICCentral America | 0.956 |
| =71 | AZEWestern Asia | 0.955 |
| =71 | CHEWestern Europe | 0.955 |
| =73 | LVANorthern Europe | 1.046 |
| =73 | LSOSouthern Africa | 0.954 |
| 75 | LKASouthern Asia | 0.953 |
| 76 | HKGEastern Asia | 0.952 |
| 77 | BWASouthern Africa | 0.951 |
| =78 | MNESouthern Europe | 0.950 |
| =78 | NLDWestern Europe | 0.950 |
| =78 | SRBSouthern Europe | 0.950 |
| 81 | MYSSouth-eastern Asia | 0.949 |
| 82 | CHNEastern Asia | 0.948 |
| 83 | RUSEastern Europe | 1.053 |
| 84 | DEUWestern Europe | 0.946 |
| =85 | CHLSouth America | 0.945 |
| =85 | CUBCaribbean | 0.945 |
| =85 | PRYSouth America | 0.945 |
| 88 | BLZCentral America | 0.943 |
| 89 | NAMSouthern Africa | 0.941 |
| =90 | SLVCentral America | 0.940 |
| =90 | GEOWestern Asia | 0.940 |
| =90 | MEXCentral America | 0.940 |
| 93 | FJIMelanesia | 0.939 |
| 94 | NRUMicronesia | 0.937 |
| =95 | PERSouth America | 0.936 |
| =95 | WSMPolynesia | 0.936 |
| =95 | KOREastern Asia | 0.936 |
| 98 | BOLSouth America | 0.934 |
| 99 | ALBSouthern Europe | 0.931 |
| 100 | MKDSouthern Europe | 0.930 |
| 101 | MDVSouthern Asia | 0.929 |
| 102 | VUTMelanesia | 0.925 |
| 103 | MLTSouthern Europe | 0.924 |
| 104 | MUSEastern Africa | 0.923 |
| 105 | KIRMicronesia | 0.922 |
| 106 | BIHSouthern Europe | 0.919 |
| 107 | TUVPolynesia | 0.916 |
| 108 | RWAEastern Africa | 0.914 |
| 109 | STPMiddle Africa | 0.911 |
| =110 | GTMCentral America | 0.900 |
| =110 | TZAEastern Africa | 0.900 |
| =112 | IDNSouth-eastern Asia | 0.899 |
| =112 | MDGEastern Africa | 0.899 |
| 114 | HTICaribbean | 0.888 |
| 115 | TJKCentral Asia | 0.887 |
| 116 | LBNWestern Asia | 0.886 |
| 117 | KENEastern Africa | 0.885 |
| 118 | OMNWestern Asia | 0.883 |
| 119 | COGMiddle Africa | 0.881 |
| =120 | IRNSouthern Asia | 0.876 |
| =120 | PNGMelanesia | 0.876 |
| 122 | KHMSouth-eastern Asia | 0.875 |
| 123 | MWIEastern Africa | 0.872 |
| 124 | TUNNorthern Africa | 0.871 |
| 125 | ZWEEastern Africa | 0.868 |
| 126 | CMRMiddle Africa | 0.865 |
| 127 | SAUWestern Asia | 0.864 |
| 128 | LAOSouth-eastern Asia | 0.863 |
| 129 | GHAWestern Africa | 0.862 |
| 130 | BDIEastern Africa | 0.860 |
| 131 | TURWestern Asia | 0.859 |
| 132 | MOZEastern Africa | 0.858 |
| 133 | NPLSouthern Asia | 0.857 |
| =134 | MRTWestern Africa | 0.855 |
| =134 | UGAEastern Africa | 0.855 |
| =136 | COMEastern Africa | 0.846 |
| =136 | EGYNorthern Africa | 0.846 |
| 138 | AGOMiddle Africa | 0.840 |
| 139 | JORWestern Asia | 0.836 |
| 140 | ZMBEastern Africa | 0.835 |
| 141 | SENWestern Africa | 0.827 |
| =142 | BFAWestern Africa | 0.819 |
| =142 | MLIWestern Africa | 0.819 |
| 144 | MARNorthern Africa | 0.815 |
| =145 | DZANorthern Africa | 0.814 |
| =145 | NGAWestern Africa | 0.814 |
| 147 | BGDSouthern Asia | 0.812 |
| 148 | SYRWestern Asia | 0.810 |
| 149 | BENWestern Africa | 0.807 |
| 150 | CODMiddle Africa | 0.806 |
| =151 | INDSouthern Asia | 0.799 |
| =151 | PSEWestern Asia | 0.799 |
| =151 | TGOWestern Africa | 0.799 |
| 154 | SLEWestern Africa | 0.798 |
| 155 | ETHEastern Africa | 0.779 |
| 156 | LBRWestern Africa | 0.774 |
| 157 | IRQWestern Asia | 0.763 |
| 158 | NERWestern Africa | 0.691 |
| 159 | PAKSouthern Asia | 0.670 |
| 160 | YEMWestern Asia | 0.604 |
02In 2005
At either end
The 5 countries at each end of the headline.
032004 → 2005
Since 2004
What changed between 2004 and this one: who joined or left, and how far the headline moved.
- +14 / −0countries joined / left
- 132values changed, of 146 in both
- 92 · 40rose · fell
- 14unchanged
Rose most
Fell most
Uganda0.908 → 0.855−0.053
United Kingdom0.976 → 0.963−0.013
Germany0.958 → 0.946−0.012
Guatemala0.912 → 0.900−0.012
Netherlands0.962 → 0.950−0.012
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 2005.
115 distinct values among 160
Values are stored exactly as published, to 3 decimals. 3 countries share 0.999. 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 160 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
160 rows · 4.5 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download gender-development-2005-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 (2005). Gender Development Index, 2005 [data set], describing 2005. As held by Nations Inquiry, https://nationsinquiry.com/datasets/gender-development/2005
0634 held
Other years
‹ The year before
Gender Development Index, 2004146 countries
The year after ›
Gender Development Index, 2006160 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, 2005: questions and answers
Which country has the highest Gender Development Index in Gender Development Index, 2005?
Russia, at 1.053, of the 160 countries in the file.
What year does Gender Development Index, 2005 describe?
2005.
How many countries does Gender Development Index, 2005 cover?
160.
Where can I download Gender Development Index, 2005?
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, 2005 the newest?
No. The newest held here is Gender Development Index, 2023.