Data for 2007
Gender Development Index, 2007
2007, as UNDP Human Development Report Office’s 2025 release gives it · stored as published, never rewritten
Gender Development Index, 2007 covers 160 countries. Latvia is highest, at 1.043; Yemen is lowest, at 0.615. The middle country reads 0.952. Against 2006, 146 values changed (105 up, 41 down), the same countries are covered.
Gender Development Index · Data for 2007
HighestLatvia
1.043LowestYemen
0.615Shaded 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, 2007, 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 | NORNorthern Europe | 1.000 |
| =2 | BHSCaribbean | 1.001 |
| =2 | HUNEastern Europe | 1.001 |
| =2 | QATWestern Asia | 1.001 |
| 5 | BRASouth America | 0.997 |
| =6 | ARGSouth America | 0.996 |
| =6 | FINNorthern Europe | 1.004 |
| =6 | JAMCaribbean | 0.996 |
| =6 | MDAEastern Europe | 1.004 |
| =6 | PANCentral America | 0.996 |
| =6 | POLEastern Europe | 1.004 |
| =6 | THASouth-eastern Asia | 0.996 |
| 13 | PRTSouthern Europe | 0.995 |
| =14 | BRBCaribbean | 1.006 |
| =14 | SVKEastern Europe | 0.994 |
| =16 | KWTWestern Asia | 1.007 |
| =16 | LCACaribbean | 1.007 |
| =18 | COLSouth America | 0.993 |
| =18 | DNKNorthern Europe | 0.993 |
| =18 | SWENorthern Europe | 0.993 |
| 21 | USANorthern America | 0.991 |
| =22 | BGREastern Europe | 0.990 |
| =22 | PHLSouth-eastern Asia | 0.990 |
| =22 | SVNSouthern Europe | 1.010 |
| =22 | VENSouth America | 1.010 |
| 26 | FRAWestern Europe | 0.987 |
| =27 | LUXWestern Europe | 0.986 |
| =27 | URYSouth America | 1.014 |
| 29 | BRNSouth-eastern Asia | 0.985 |
| 30 | SMRSouthern Europe | 1.016 |
| =31 | CANNorthern America | 0.981 |
| =31 | HRVSouthern Europe | 0.981 |
| =31 | GABMiddle Africa | 0.981 |
| =31 | KGZCentral Asia | 0.981 |
| =31 | AREWestern Asia | 0.981 |
| 36 | SGPSouth-eastern Asia | 0.980 |
| =37 | HNDCentral America | 0.979 |
| =37 | ESPSouthern Europe | 0.979 |
| 39 | ROUEastern Europe | 0.978 |
| 40 | UKREastern Europe | 1.025 |
| =41 | ARMWestern Asia | 0.975 |
| =41 | TTOCaribbean | 0.975 |
| =41 | VNMSouth-eastern Asia | 0.975 |
| =44 | ISRWestern Asia | 0.974 |
| =44 | KAZCentral Asia | 1.026 |
| =44 | SURSouth America | 0.974 |
| =44 | TONPolynesia | 0.974 |
| =48 | BHRWestern Asia | 0.972 |
| =48 | BLREastern Europe | 1.028 |
| =48 | LKASouthern Asia | 0.972 |
| 51 | ISLNorthern Europe | 0.971 |
| =52 | CZEEastern Europe | 0.970 |
| =52 | GEOWestern Asia | 0.970 |
| =54 | IRLNorthern Europe | 0.969 |
| =54 | NZLAustralia and New Zealand | 0.969 |
| =54 | ZAFSouthern Africa | 0.969 |
| 57 | CRICentral America | 0.967 |
| =58 | SLVCentral America | 0.966 |
| =58 | ITASouthern Europe | 0.966 |
| =60 | BELWestern Europe | 0.965 |
| =60 | DOMCaribbean | 0.965 |
| =60 | LSOSouthern Africa | 0.965 |
| =60 | GBRNorthern Europe | 0.965 |
| =64 | AUTWestern Europe | 0.964 |
| =64 | ESTNorthern Europe | 1.036 |
| =64 | GRCSouthern Europe | 0.964 |
| =64 | MNGEastern Asia | 1.036 |
| 68 | UZBCentral Asia | 0.963 |
| =69 | AUSAustralia and New Zealand | 0.962 |
| =69 | CYPWestern Asia | 0.962 |
| =69 | NAMSouthern Africa | 0.962 |
| =72 | JPNEastern Asia | 0.961 |
| =72 | LIEWestern Europe | 0.961 |
| =74 | LTUNorthern Europe | 1.041 |
| =74 | RUSEastern Europe | 1.041 |
| 76 | CUBCaribbean | 0.959 |
| 77 | LVANorthern Europe | 1.043 |
| 78 | CHEWestern Europe | 0.957 |
| 79 | SRBSouthern Europe | 0.954 |
| 80 | NLDWestern Europe | 0.953 |
| =81 | BLZCentral America | 0.952 |
| =81 | MNESouthern Europe | 0.952 |
| =81 | PRYSouth America | 0.952 |
| =84 | CHNEastern Asia | 0.951 |
| =84 | HKGEastern Asia | 0.951 |
| 86 | DEUWestern Europe | 0.950 |
| =87 | BWASouthern Africa | 0.949 |
| =87 | MYSSouth-eastern Asia | 0.949 |
| 89 | CHLSouth America | 0.946 |
| 90 | MEXCentral America | 0.942 |
| 91 | KIRMicronesia | 0.941 |
| 92 | PERSouth America | 0.940 |
| 93 | UGAEastern Africa | 0.939 |
| 94 | AZEWestern Asia | 0.937 |
| 95 | KOREastern Asia | 0.936 |
| =96 | MDVSouthern Asia | 0.935 |
| =96 | WSMPolynesia | 0.935 |
| =98 | ALBSouthern Europe | 0.933 |
| =98 | MUSEastern Africa | 0.933 |
| =98 | NRUMicronesia | 0.933 |
| =101 | BIHSouthern Europe | 0.931 |
| =101 | MLTSouthern Europe | 0.931 |
| =101 | NICCentral America | 0.931 |
| 104 | BOLSouth America | 0.930 |
| =105 | FJIMelanesia | 0.928 |
| =105 | MKDSouthern Europe | 0.928 |
| 107 | VUTMelanesia | 0.926 |
| =108 | MDGEastern Africa | 0.919 |
| =108 | TUVPolynesia | 0.919 |
| 110 | STPMiddle Africa | 0.918 |
| 111 | RWAEastern Africa | 0.912 |
| =112 | IDNSouth-eastern Asia | 0.909 |
| =112 | TZAEastern Africa | 0.909 |
| 114 | GTMCentral America | 0.907 |
| 115 | LBNWestern Asia | 0.902 |
| 116 | KENEastern Africa | 0.891 |
| =117 | KHMSouth-eastern Asia | 0.887 |
| =117 | OMNWestern Asia | 0.887 |
| =117 | COGMiddle Africa | 0.887 |
| =120 | BDIEastern Africa | 0.884 |
| =120 | IRNSouthern Asia | 0.884 |
| 122 | TUNNorthern Africa | 0.882 |
| 123 | PNGMelanesia | 0.880 |
| 124 | CMRMiddle Africa | 0.879 |
| 125 | MWIEastern Africa | 0.877 |
| 126 | HTICaribbean | 0.876 |
| 127 | MLIWestern Africa | 0.874 |
| 128 | GHAWestern Africa | 0.873 |
| =129 | LAOSouth-eastern Asia | 0.871 |
| =129 | NPLSouthern Asia | 0.871 |
| 131 | MOZEastern Africa | 0.869 |
| =132 | TURWestern Asia | 0.866 |
| =132 | ZWEEastern Africa | 0.866 |
| =134 | MRTWestern Africa | 0.859 |
| =134 | SAUWestern Asia | 0.859 |
| 136 | JORWestern Asia | 0.856 |
| 137 | EGYNorthern Africa | 0.854 |
| 138 | COMEastern Africa | 0.852 |
| 139 | ZMBEastern Africa | 0.851 |
| 140 | AGOMiddle Africa | 0.845 |
| 141 | BFAWestern Africa | 0.842 |
| 142 | SENWestern Africa | 0.841 |
| 143 | BGDSouthern Asia | 0.829 |
| =144 | ETHEastern Africa | 0.828 |
| =144 | PSEWestern Asia | 0.828 |
| =146 | DZANorthern Africa | 0.827 |
| =146 | NGAWestern Africa | 0.827 |
| 148 | MARNorthern Africa | 0.825 |
| 149 | TJKCentral Asia | 0.824 |
| 150 | BENWestern Africa | 0.816 |
| 151 | INDSouthern Asia | 0.808 |
| 152 | SLEWestern Africa | 0.806 |
| 153 | CODMiddle Africa | 0.801 |
| 154 | SYRWestern Asia | 0.799 |
| 155 | TGOWestern Africa | 0.795 |
| 156 | IRQWestern Asia | 0.788 |
| 157 | LBRWestern Africa | 0.783 |
| 158 | NERWestern Africa | 0.718 |
| 159 | PAKSouthern Asia | 0.699 |
| 160 | YEMWestern Asia | 0.615 |
02In 2007
At either end
The 5 countries at each end of the headline.
Highest
1 is parity; further away in either direction is worse. The middle country reads 0.952. “Shared” marks a value another country also holds.
032006 → 2007
Since 2006
What changed between 2006 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 146values changed, of 160 in both
- 105 · 41rose · fell
- 14unchanged
Rose most
Lesotho0.925 → 0.965+0.040
Burkina Faso0.812 → 0.842+0.030
Colombia0.971 → 0.993+0.022
Vietnam0.954 → 0.975+0.021
Thailand0.977 → 0.996+0.019
Fell most
Tajikistan0.883 → 0.824−0.059
Azerbaijan0.960 → 0.937−0.023
Guatemala0.925 → 0.907−0.018
Togo0.805 → 0.795−0.010
Botswana0.956 → 0.949−0.007
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 2007.
105 distinct values among 160
Values are stored exactly as published, to 3 decimals. 5 countries share 0.981. 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 · 4.6 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download gender-development-2007-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 (2007). Gender Development Index, 2007 [data set], describing 2007. As held by Nations Inquiry, https://nationsinquiry.com/datasets/gender-development/2007
0634 held
Other years
‹ The year before
Gender Development Index, 2006160 countries
The year after ›
Gender Development Index, 2008162 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, 2007: questions and answers
Which country has the highest Gender Development Index in Gender Development Index, 2007?
Latvia, at 1.043, of the 160 countries in the file.
What year does Gender Development Index, 2007 describe?
2007.
How many countries does Gender Development Index, 2007 cover?
160.
Where can I download Gender Development Index, 2007?
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, 2007 the newest?
No. The newest held here is Gender Development Index, 2023.