Data for 2008
Gender Development Index, 2008
2008, as UNDP Human Development Report Office’s 2025 release gives it · stored as published, never rewritten
Gender Development Index, 2008 covers 162 countries. Latvia is highest, at 1.047; Yemen is lowest, at 0.618. The middle country reads 0.954. Against 2007, 144 values changed (99 up, 45 down), 2 countries joined.
Gender Development Index · Data for 2008
HighestLatvia
1.047LowestYemen
0.618Shaded 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, 2008, 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 162 countries · select a heading to sort
| derived | ||
|---|---|---|
| =1 | ARGSouth America | 1.001 |
| =1 | FINNorthern Europe | 1.001 |
| 3 | HUNEastern Europe | 0.999 |
| =4 | BHSCaribbean | 1.002 |
| =4 | SVKEastern Europe | 0.998 |
| 6 | PANCentral America | 0.997 |
| 7 | BRASouth America | 0.996 |
| =8 | JAMCaribbean | 1.005 |
| =8 | KWTWestern Asia | 1.005 |
| =8 | MDAEastern Europe | 1.005 |
| =8 | NORNorthern Europe | 1.005 |
| =8 | POLEastern Europe | 1.005 |
| =8 | LCACaribbean | 1.005 |
| 14 | SVNSouthern Europe | 1.006 |
| =15 | BGREastern Europe | 0.993 |
| =15 | DNKNorthern Europe | 0.993 |
| 17 | PRTSouthern Europe | 0.992 |
| =18 | QATWestern Asia | 0.991 |
| =18 | SWENorthern Europe | 0.991 |
| =18 | AREWestern Asia | 0.991 |
| =18 | USANorthern America | 0.991 |
| =22 | BRBCaribbean | 1.010 |
| =22 | PHLSouth-eastern Asia | 0.990 |
| 24 | COLSouth America | 0.988 |
| 25 | ROUEastern Europe | 0.987 |
| 26 | FRAWestern Europe | 0.986 |
| =27 | SMRSouthern Europe | 1.015 |
| =27 | URYSouth America | 1.015 |
| 29 | BRNSouth-eastern Asia | 0.985 |
| =30 | HRVSouthern Europe | 0.983 |
| =30 | KGZCentral Asia | 0.983 |
| =30 | LSOSouthern Africa | 0.983 |
| =30 | THASouth-eastern Asia | 0.983 |
| =34 | KAZCentral Asia | 1.019 |
| =34 | VENSouth America | 1.019 |
| 36 | GABMiddle Africa | 0.981 |
| =37 | CANNorthern America | 0.980 |
| =37 | CRICentral America | 0.980 |
| =37 | HNDCentral America | 0.980 |
| =40 | SGPSouth-eastern Asia | 0.979 |
| =40 | ESPSouthern Europe | 0.979 |
| =42 | BHRWestern Asia | 0.977 |
| =42 | SURSouth America | 0.977 |
| =42 | TTOCaribbean | 0.977 |
| 45 | UKREastern Europe | 1.025 |
| =46 | ISRWestern Asia | 0.975 |
| =46 | LUXWestern Europe | 0.975 |
| 48 | TONPolynesia | 0.974 |
| 49 | NAMSouthern Africa | 0.972 |
| =50 | CZEEastern Europe | 0.971 |
| =50 | LKASouthern Asia | 0.971 |
| =52 | BLREastern Europe | 1.030 |
| =52 | IRLNorthern Europe | 0.970 |
| =52 | LTUNorthern Europe | 1.030 |
| =55 | DOMCaribbean | 0.969 |
| =55 | ITASouthern Europe | 0.969 |
| =57 | ISLNorthern Europe | 0.968 |
| =57 | NZLAustralia and New Zealand | 0.968 |
| 59 | ESTNorthern Europe | 1.034 |
| 60 | MNGEastern Asia | 1.035 |
| =61 | BELWestern Europe | 0.965 |
| =61 | MNESouthern Europe | 0.965 |
| =61 | GBRNorthern Europe | 0.965 |
| =64 | ARMWestern Asia | 0.964 |
| =64 | CYPWestern Asia | 0.964 |
| 66 | RUSEastern Europe | 1.037 |
| =67 | AUTWestern Europe | 0.963 |
| =67 | GEOWestern Asia | 0.963 |
| =67 | GRCSouthern Europe | 0.963 |
| =67 | UZBCentral Asia | 0.963 |
| =71 | AUSAustralia and New Zealand | 0.962 |
| =71 | VNMSouth-eastern Asia | 0.962 |
| =73 | HKGEastern Asia | 0.961 |
| =73 | JPNEastern Asia | 0.961 |
| 75 | SRBSouthern Europe | 0.958 |
| 76 | LIEWestern Europe | 0.957 |
| =77 | SLVCentral America | 0.956 |
| =77 | PRYSouth America | 0.956 |
| =77 | CHEWestern Europe | 0.956 |
| =80 | BLZCentral America | 0.954 |
| =80 | CHNEastern Asia | 0.954 |
| 82 | LVANorthern Europe | 1.047 |
| =83 | CUBCaribbean | 0.953 |
| =83 | NLDWestern Europe | 0.953 |
| =85 | BWASouthern Africa | 0.952 |
| =85 | MYSSouth-eastern Asia | 0.952 |
| =85 | ZAFSouthern Africa | 0.952 |
| 88 | ALBSouthern Europe | 0.951 |
| 89 | UGAEastern Africa | 0.949 |
| 90 | CHLSouth America | 0.948 |
| =91 | AZEWestern Asia | 0.947 |
| =91 | DEUWestern Europe | 0.947 |
| 93 | KIRMicronesia | 0.945 |
| =94 | MLTSouthern Europe | 0.944 |
| =94 | MEXCentral America | 0.944 |
| 96 | NRUMicronesia | 0.940 |
| 97 | MDVSouthern Asia | 0.939 |
| 98 | MUSEastern Africa | 0.938 |
| 99 | KOREastern Asia | 0.937 |
| =100 | BOLSouth America | 0.936 |
| =100 | BIHSouthern Europe | 0.936 |
| =100 | NICCentral America | 0.936 |
| 103 | PERSouth America | 0.934 |
| 104 | FJIMelanesia | 0.931 |
| 105 | WSMPolynesia | 0.930 |
| 106 | MKDSouthern Europe | 0.928 |
| 107 | RWAEastern Africa | 0.925 |
| =108 | MDGEastern Africa | 0.923 |
| =108 | VUTMelanesia | 0.923 |
| 110 | TUVPolynesia | 0.921 |
| 111 | STPMiddle Africa | 0.920 |
| 112 | TZAEastern Africa | 0.918 |
| 113 | IDNSouth-eastern Asia | 0.914 |
| 114 | LBNWestern Asia | 0.909 |
| 115 | GTMCentral America | 0.908 |
| 116 | KENEastern Africa | 0.899 |
| 117 | OMNWestern Asia | 0.895 |
| =118 | BDIEastern Africa | 0.894 |
| =118 | COGMiddle Africa | 0.894 |
| 120 | KHMSouth-eastern Asia | 0.890 |
| 121 | TUNNorthern Africa | 0.885 |
| 122 | PNGMelanesia | 0.883 |
| 123 | HTICaribbean | 0.882 |
| =124 | MWIEastern Africa | 0.880 |
| =124 | NPLSouthern Asia | 0.880 |
| =124 | TJKCentral Asia | 0.880 |
| 127 | TURWestern Asia | 0.878 |
| =128 | GHAWestern Africa | 0.876 |
| =128 | LAOSouth-eastern Asia | 0.876 |
| =130 | IRNSouthern Asia | 0.875 |
| =130 | MOZEastern Africa | 0.875 |
| 132 | ZWEEastern Africa | 0.873 |
| 133 | CMRMiddle Africa | 0.866 |
| 134 | ZMBEastern Africa | 0.864 |
| 135 | SAUWestern Asia | 0.863 |
| 136 | MRTWestern Africa | 0.862 |
| 137 | COMEastern Africa | 0.855 |
| 138 | JORWestern Asia | 0.854 |
| =139 | BFAWestern Africa | 0.851 |
| =139 | SENWestern Africa | 0.851 |
| 141 | AGOMiddle Africa | 0.848 |
| 142 | BGDSouthern Asia | 0.841 |
| =143 | ETHEastern Africa | 0.839 |
| =143 | MLIWestern Africa | 0.839 |
| 145 | EGYNorthern Africa | 0.833 |
| 146 | NGAWestern Africa | 0.832 |
| =147 | DZANorthern Africa | 0.830 |
| =147 | PSEWestern Asia | 0.830 |
| 149 | MARNorthern Africa | 0.825 |
| 150 | BENWestern Africa | 0.819 |
| 151 | INDSouthern Asia | 0.812 |
| 152 | SDNNorthern Africa | 0.808 |
| =153 | CODMiddle Africa | 0.807 |
| =153 | SLEWestern Africa | 0.807 |
| =153 | SYRWestern Asia | 0.807 |
| 156 | TGOWestern Africa | 0.798 |
| 157 | LBRWestern Africa | 0.788 |
| 158 | IRQWestern Asia | 0.777 |
| 159 | NERWestern Africa | 0.741 |
| 160 | PAKSouthern Asia | 0.698 |
| 161 | AFGSouthern Asia | 0.690 |
| 162 | YEMWestern Asia | 0.618 |
02In 2008
At either end
The 5 countries at each end of the headline.
032007 → 2008
Since 2007
What changed between 2007 and this one: who joined or left, and how far the headline moved.
- +2 / −0countries joined / left
- 144values changed, of 160 in both
- 99 · 45rose · fell
- 16unchanged
Rose most
Tajikistan0.824 → 0.880+0.056
Niger0.718 → 0.741+0.023
Lesotho0.965 → 0.983+0.018
Albania0.933 → 0.951+0.018
Costa Rica0.967 → 0.980+0.013
Fell most
Mali0.874 → 0.839−0.035
Egypt0.854 → 0.833−0.021
South Africa0.969 → 0.952−0.017
Cameroon0.879 → 0.866−0.013
Thailand0.996 → 0.983−0.013
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 2008.
108 distinct values among 162
Values are stored exactly as published, to 3 decimals. 6 countries share 1.005. 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 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 · 4.6 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download gender-development-2008-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 (2008). Gender Development Index, 2008 [data set], describing 2008. As held by Nations Inquiry, https://nationsinquiry.com/datasets/gender-development/2008
0634 held
Other years
‹ The year before
Gender Development Index, 2007160 countries
The year after ›
Gender Development Index, 2009164 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, 2008: questions and answers
Which country has the highest Gender Development Index in Gender Development Index, 2008?
Latvia, at 1.047, of the 162 countries in the file.
What year does Gender Development Index, 2008 describe?
2008.
How many countries does Gender Development Index, 2008 cover?
162.
Where can I download Gender Development Index, 2008?
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, 2008 the newest?
No. The newest held here is Gender Development Index, 2023.