Data for 2006
Gender Development Index, 2006
2006, as UNDP Human Development Report Office’s 2025 release gives it · stored as published, never rewritten
Gender Development Index, 2006 covers 160 countries. Latvia is highest, at 1.048; Yemen is lowest, at 0.611. The middle country reads 0.952. Against 2005, 144 values changed (113 up, 31 down), the same countries are covered.
Gender Development Index · Data for 2006
HighestLatvia
1.048LowestYemen
0.611Shaded 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, 2006, 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 | ARGSouth America | 1.001 |
| =2 | NORNorthern Europe | 0.999 |
| =2 | PRTSouthern Europe | 0.999 |
| =4 | HUNEastern Europe | 0.998 |
| =4 | VENSouth America | 1.002 |
| 6 | FINNorthern Europe | 1.003 |
| =7 | BRASouth America | 0.997 |
| =7 | MDAEastern Europe | 0.997 |
| 9 | BRBCaribbean | 1.004 |
| 10 | POLEastern Europe | 1.005 |
| =11 | JAMCaribbean | 0.994 |
| =11 | QATWestern Asia | 1.006 |
| 13 | BHSCaribbean | 1.007 |
| =14 | PANCentral America | 0.993 |
| =14 | SVKEastern Europe | 0.993 |
| =14 | SWENorthern Europe | 0.993 |
| =17 | DNKNorthern Europe | 0.992 |
| =17 | KWTWestern Asia | 1.008 |
| 19 | SVNSouthern Europe | 1.009 |
| 20 | BGREastern Europe | 0.991 |
| =21 | PHLSouth-eastern Asia | 0.990 |
| =21 | USANorthern America | 0.990 |
| =23 | LCACaribbean | 1.011 |
| =23 | URYSouth America | 1.011 |
| =25 | BRNSouth-eastern Asia | 0.986 |
| =25 | FRAWestern Europe | 0.986 |
| 27 | SMRSouthern Europe | 1.015 |
| 28 | AREWestern Asia | 0.984 |
| 29 | HRVSouthern Europe | 0.982 |
| =30 | CANNorthern America | 0.980 |
| =30 | GABMiddle Africa | 0.980 |
| 32 | KAZCentral Asia | 1.021 |
| 33 | ROUEastern Europe | 0.979 |
| =34 | SGPSouth-eastern Asia | 0.978 |
| =34 | ESPSouthern Europe | 0.978 |
| 36 | UKREastern Europe | 1.023 |
| =37 | THASouth-eastern Asia | 0.977 |
| =37 | TTOCaribbean | 0.977 |
| 39 | LUXWestern Europe | 0.976 |
| =40 | KGZCentral Asia | 0.975 |
| =40 | TONPolynesia | 0.975 |
| =42 | BHRWestern Asia | 0.974 |
| =42 | HNDCentral America | 0.974 |
| 44 | BLREastern Europe | 1.027 |
| 45 | ISRWestern Asia | 0.973 |
| =46 | IRLNorthern Europe | 0.972 |
| =46 | SURSouth America | 0.972 |
| 48 | COLSouth America | 0.971 |
| 49 | CZEEastern Europe | 0.969 |
| 50 | NZLAustralia and New Zealand | 0.968 |
| 51 | BELWestern Europe | 0.967 |
| =52 | AUTWestern Europe | 0.966 |
| =52 | CRICentral America | 0.966 |
| =52 | ISLNorthern Europe | 0.966 |
| 55 | ESTNorthern Europe | 1.035 |
| =56 | ITASouthern Europe | 0.965 |
| =56 | GBRNorthern Europe | 0.965 |
| =58 | CYPWestern Asia | 0.962 |
| =58 | DOMCaribbean | 0.962 |
| =58 | GRCSouthern Europe | 0.962 |
| =61 | AUSAustralia and New Zealand | 0.961 |
| =61 | JPNEastern Asia | 0.961 |
| =61 | LIEWestern Europe | 0.961 |
| =61 | LKASouthern Asia | 0.961 |
| =65 | ARMWestern Asia | 0.960 |
| =65 | AZEWestern Asia | 0.960 |
| =65 | UZBCentral Asia | 0.960 |
| =68 | LTUNorthern Europe | 1.041 |
| =68 | MNGEastern Asia | 1.041 |
| 70 | ZAFSouthern Africa | 0.958 |
| 71 | CHEWestern Europe | 0.957 |
| =72 | BWASouthern Africa | 0.956 |
| =72 | GEOWestern Asia | 0.956 |
| =72 | MNESouthern Europe | 0.956 |
| 75 | RUSEastern Europe | 1.045 |
| =76 | HKGEastern Asia | 0.954 |
| =76 | VNMSouth-eastern Asia | 0.954 |
| =78 | CUBCaribbean | 0.953 |
| =78 | NAMSouthern Africa | 0.953 |
| =80 | SLVCentral America | 0.952 |
| =80 | LVANorthern Europe | 1.048 |
| =80 | SRBSouthern Europe | 0.952 |
| 83 | NLDWestern Europe | 0.950 |
| =84 | CHLSouth America | 0.949 |
| =84 | CHNEastern Asia | 0.949 |
| 86 | MYSSouth-eastern Asia | 0.948 |
| 87 | DEUWestern Europe | 0.947 |
| =88 | BLZCentral America | 0.945 |
| =88 | PRYSouth America | 0.945 |
| 90 | MEXCentral America | 0.940 |
| =91 | PERSouth America | 0.937 |
| =91 | KOREastern Asia | 0.937 |
| 93 | WSMPolynesia | 0.936 |
| =94 | ALBSouthern Europe | 0.934 |
| =94 | KIRMicronesia | 0.934 |
| =94 | MDVSouthern Asia | 0.934 |
| 97 | VUTMelanesia | 0.933 |
| 98 | NICCentral America | 0.932 |
| =99 | MLTSouthern Europe | 0.931 |
| =99 | UGAEastern Africa | 0.931 |
| =101 | BOLSouth America | 0.930 |
| =101 | NRUMicronesia | 0.930 |
| 103 | MKDSouthern Europe | 0.929 |
| =104 | BIHSouthern Europe | 0.927 |
| =104 | MUSEastern Africa | 0.927 |
| =106 | GTMCentral America | 0.925 |
| =106 | LSOSouthern Africa | 0.925 |
| 108 | FJIMelanesia | 0.924 |
| 109 | TUVPolynesia | 0.917 |
| =110 | MDGEastern Africa | 0.915 |
| =110 | STPMiddle Africa | 0.915 |
| 112 | TZAEastern Africa | 0.910 |
| =113 | IDNSouth-eastern Asia | 0.908 |
| =113 | RWAEastern Africa | 0.908 |
| 115 | LBNWestern Asia | 0.899 |
| 116 | OMNWestern Asia | 0.885 |
| 117 | BDIEastern Africa | 0.884 |
| 118 | TJKCentral Asia | 0.883 |
| =119 | HTICaribbean | 0.882 |
| =119 | IRNSouthern Asia | 0.882 |
| 121 | KENEastern Africa | 0.881 |
| =122 | MWIEastern Africa | 0.880 |
| =122 | COGMiddle Africa | 0.880 |
| =122 | TUNNorthern Africa | 0.880 |
| =125 | KHMSouth-eastern Asia | 0.878 |
| =125 | PNGMelanesia | 0.878 |
| 127 | GHAWestern Africa | 0.875 |
| =128 | CMRMiddle Africa | 0.868 |
| =128 | ZWEEastern Africa | 0.868 |
| =130 | LAOSouth-eastern Asia | 0.866 |
| =130 | NPLSouthern Asia | 0.866 |
| 132 | MOZEastern Africa | 0.865 |
| =133 | SAUWestern Asia | 0.863 |
| =133 | TURWestern Asia | 0.863 |
| 135 | MLIWestern Africa | 0.862 |
| 136 | MRTWestern Africa | 0.856 |
| 137 | COMEastern Africa | 0.850 |
| 138 | ZMBEastern Africa | 0.844 |
| 139 | EGYNorthern Africa | 0.843 |
| 140 | AGOMiddle Africa | 0.842 |
| 141 | JORWestern Asia | 0.841 |
| 142 | SENWestern Africa | 0.840 |
| 143 | NGAWestern Africa | 0.821 |
| 144 | MARNorthern Africa | 0.820 |
| 145 | DZANorthern Africa | 0.819 |
| =146 | BGDSouthern Asia | 0.815 |
| =146 | PSEWestern Asia | 0.815 |
| =148 | BENWestern Africa | 0.812 |
| =148 | BFAWestern Africa | 0.812 |
| =148 | ETHEastern Africa | 0.812 |
| 151 | INDSouthern Asia | 0.806 |
| 152 | TGOWestern Africa | 0.805 |
| 153 | CODMiddle Africa | 0.801 |
| 154 | SLEWestern Africa | 0.800 |
| 155 | SYRWestern Asia | 0.799 |
| 156 | IRQWestern Asia | 0.782 |
| 157 | LBRWestern Africa | 0.778 |
| 158 | NERWestern Africa | 0.702 |
| 159 | PAKSouthern Asia | 0.697 |
| 160 | YEMWestern Asia | 0.611 |
02In 2006
At either end
The 5 countries at each end of the headline.
1 is parity; further away in either direction is worse. The middle country reads 0.952. “Shared” marks a value another country also holds.
032005 → 2006
Since 2005
What changed between 2005 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 144values changed, of 160 in both
- 113 · 31rose · fell
- 16unchanged
Rose most
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 2006.
110 distinct values among 160
Values are stored exactly as published, to 3 decimals. 4 countries share 0.961. 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-2006-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 (2006). Gender Development Index, 2006 [data set], describing 2006. As held by Nations Inquiry, https://nationsinquiry.com/datasets/gender-development/2006
0634 held
Other years
‹ The year before
Gender Development Index, 2005160 countries
The year after ›
Gender Development Index, 2007160 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, 2006: questions and answers
Which country has the highest Gender Development Index in Gender Development Index, 2006?
Latvia, at 1.048, of the 160 countries in the file.
What year does Gender Development Index, 2006 describe?
2006.
How many countries does Gender Development Index, 2006 cover?
160.
Where can I download Gender Development Index, 2006?
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, 2006 the newest?
No. The newest held here is Gender Development Index, 2023.