Data for 2009
Gender Development Index, 2009
2009, as UNDP Human Development Report Office’s 2025 release gives it · stored as published, never rewritten
Gender Development Index, 2009 covers 164 countries. Latvia is highest, at 1.043; Yemen is lowest, at 0.620. The middle country reads 0.956. Against 2008, 151 values changed (97 up, 54 down), 2 countries joined.
Gender Development Index · Data for 2009
HighestLatvia
1.043LowestYemen
0.620Shaded 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, 2009, 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 164 countries · select a heading to sort
| derived | ||
|---|---|---|
| =1 | ARGSouth America | 1.000 |
| =1 | NORNorthern Europe | 1.000 |
| 3 | PANCentral America | 0.999 |
| =4 | BRASouth America | 0.998 |
| =4 | FINNorthern Europe | 1.002 |
| =4 | HUNEastern Europe | 0.998 |
| =4 | JAMCaribbean | 1.002 |
| 8 | BHSCaribbean | 1.003 |
| 9 | DNKNorthern Europe | 0.997 |
| =10 | BGREastern Europe | 0.996 |
| =10 | SVKEastern Europe | 0.996 |
| 12 | SVNSouthern Europe | 1.005 |
| 13 | KWTWestern Asia | 0.995 |
| 14 | POLEastern Europe | 1.007 |
| =15 | COLSouth America | 0.993 |
| =15 | PRTSouthern Europe | 0.993 |
| =17 | MDAEastern Europe | 1.008 |
| =17 | USANorthern America | 0.992 |
| 19 | SMRSouthern Europe | 1.009 |
| =20 | QATWestern Asia | 0.991 |
| =20 | ROUEastern Europe | 0.991 |
| 22 | SWENorthern Europe | 0.990 |
| =23 | FRAWestern Europe | 0.989 |
| =23 | PHLSouth-eastern Asia | 0.989 |
| 25 | CPVWestern Africa | 0.988 |
| =26 | BRBCaribbean | 1.014 |
| =26 | HRVSouthern Europe | 0.986 |
| =28 | LCACaribbean | 1.015 |
| =28 | URYSouth America | 1.015 |
| =30 | HNDCentral America | 0.984 |
| =30 | THASouth-eastern Asia | 0.984 |
| =32 | BRNSouth-eastern Asia | 0.983 |
| =32 | GABMiddle Africa | 0.983 |
| =32 | SURSouth America | 0.983 |
| =35 | CANNorthern America | 0.982 |
| =35 | KAZCentral Asia | 1.018 |
| =35 | LSOSouthern Africa | 0.982 |
| =35 | ESPSouthern Europe | 0.982 |
| =35 | VENSouth America | 1.018 |
| 40 | KGZCentral Asia | 0.981 |
| 41 | BLREastern Europe | 1.022 |
| 42 | UKREastern Europe | 1.023 |
| 43 | SGPSouth-eastern Asia | 0.977 |
| =44 | CZEEastern Europe | 0.974 |
| =44 | TTOCaribbean | 0.974 |
| =46 | DOMCaribbean | 0.973 |
| =46 | ISLNorthern Europe | 0.973 |
| =46 | TONPolynesia | 0.973 |
| 49 | IRLNorthern Europe | 0.972 |
| 50 | VNMSouth-eastern Asia | 0.971 |
| 51 | NAMSouthern Africa | 0.970 |
| 52 | LTUNorthern Europe | 1.031 |
| =53 | ISRWestern Asia | 0.969 |
| =53 | ITASouthern Europe | 0.969 |
| =53 | LKASouthern Asia | 0.969 |
| =56 | ESTNorthern Europe | 1.032 |
| =56 | GRCSouthern Europe | 0.968 |
| 58 | RUSEastern Europe | 1.033 |
| 59 | ARMWestern Asia | 0.967 |
| 60 | GBRNorthern Europe | 0.966 |
| =61 | AUTWestern Europe | 0.965 |
| =61 | BELWestern Europe | 0.965 |
| =61 | MDVSouthern Asia | 0.965 |
| =61 | AREWestern Asia | 0.965 |
| =65 | AUSAustralia and New Zealand | 0.964 |
| =65 | BWASouthern Africa | 0.964 |
| =65 | MNGEastern Asia | 1.036 |
| =65 | NZLAustralia and New Zealand | 0.964 |
| =69 | CYPWestern Asia | 0.963 |
| =69 | LUXWestern Europe | 0.963 |
| =71 | CRICentral America | 0.961 |
| =71 | HKGEastern Asia | 0.961 |
| =71 | LIEWestern Europe | 0.961 |
| 74 | CHEWestern Europe | 0.960 |
| 75 | UZBCentral Asia | 0.959 |
| =76 | JPNEastern Asia | 0.958 |
| =76 | SRBSouthern Europe | 0.958 |
| 78 | LVANorthern Europe | 1.043 |
| =79 | CHNEastern Asia | 0.957 |
| =79 | SLVCentral America | 0.957 |
| =79 | MNESouthern Europe | 0.957 |
| =82 | BLZCentral America | 0.956 |
| =82 | GEOWestern Asia | 0.956 |
| =82 | ZAFSouthern Africa | 0.956 |
| =85 | CUBCaribbean | 0.955 |
| =85 | PRYSouth America | 0.955 |
| =87 | CHLSouth America | 0.954 |
| =87 | NLDWestern Europe | 0.954 |
| 89 | AZEWestern Asia | 0.953 |
| =90 | ALBSouthern Europe | 0.952 |
| =90 | MYSSouth-eastern Asia | 0.952 |
| =92 | DEUWestern Europe | 0.949 |
| =92 | KIRMicronesia | 0.949 |
| 94 | MEXCentral America | 0.948 |
| 95 | UGAEastern Africa | 0.943 |
| 96 | NICCentral America | 0.942 |
| 97 | BHRWestern Asia | 0.941 |
| 98 | MUSEastern Africa | 0.940 |
| =99 | BIHSouthern Europe | 0.937 |
| =99 | MLTSouthern Europe | 0.937 |
| =99 | PERSouth America | 0.937 |
| =102 | FJIMelanesia | 0.936 |
| =102 | NRUMicronesia | 0.936 |
| 104 | MKDSouthern Europe | 0.931 |
| =105 | COGMiddle Africa | 0.930 |
| =105 | RWAEastern Africa | 0.930 |
| 107 | KOREastern Asia | 0.927 |
| 108 | BOLSouth America | 0.925 |
| 109 | MDGEastern Africa | 0.924 |
| =110 | WSMPolynesia | 0.922 |
| =110 | STPMiddle Africa | 0.922 |
| =110 | VUTMelanesia | 0.922 |
| 113 | TUVPolynesia | 0.921 |
| 114 | LBNWestern Asia | 0.918 |
| 115 | IDNSouth-eastern Asia | 0.914 |
| 116 | TZAEastern Africa | 0.912 |
| 117 | GTMCentral America | 0.908 |
| 118 | KENEastern Africa | 0.907 |
| 119 | BDIEastern Africa | 0.897 |
| =120 | KHMSouth-eastern Asia | 0.891 |
| =120 | OMNWestern Asia | 0.891 |
| 122 | ZWEEastern Africa | 0.888 |
| =123 | HTICaribbean | 0.887 |
| =123 | TUNNorthern Africa | 0.887 |
| 125 | PNGMelanesia | 0.886 |
| =126 | MWIEastern Africa | 0.885 |
| =126 | TURWestern Asia | 0.885 |
| 128 | TLSSouth-eastern Asia | 0.884 |
| 129 | MOZEastern Africa | 0.882 |
| 130 | NPLSouthern Asia | 0.881 |
| 131 | LAOSouth-eastern Asia | 0.880 |
| 132 | GHAWestern Africa | 0.879 |
| =133 | IRNSouthern Asia | 0.877 |
| =133 | SAUWestern Asia | 0.877 |
| 135 | ZMBEastern Africa | 0.870 |
| 136 | SENWestern Africa | 0.864 |
| =137 | CMRMiddle Africa | 0.861 |
| =137 | MRTWestern Africa | 0.861 |
| 139 | COMEastern Africa | 0.858 |
| 140 | JORWestern Asia | 0.857 |
| =141 | AGOMiddle Africa | 0.855 |
| =141 | BFAWestern Africa | 0.855 |
| 143 | ETHEastern Africa | 0.847 |
| 144 | BGDSouthern Asia | 0.846 |
| =145 | DZANorthern Africa | 0.838 |
| =145 | NGAWestern Africa | 0.838 |
| 147 | PSEWestern Asia | 0.832 |
| 148 | TJKCentral Asia | 0.830 |
| 149 | MARNorthern Africa | 0.825 |
| 150 | BENWestern Africa | 0.822 |
| 151 | MLIWestern Africa | 0.820 |
| 152 | INDSouthern Asia | 0.816 |
| =153 | CODMiddle Africa | 0.809 |
| =153 | SLEWestern Africa | 0.809 |
| =155 | SYRWestern Asia | 0.802 |
| =155 | TGOWestern Africa | 0.802 |
| 157 | SDNNorthern Africa | 0.801 |
| 158 | LBRWestern Africa | 0.793 |
| 159 | EGYNorthern Africa | 0.791 |
| 160 | IRQWestern Asia | 0.769 |
| 161 | NERWestern Africa | 0.755 |
| 162 | PAKSouthern Asia | 0.723 |
| 163 | AFGSouthern Asia | 0.695 |
| 164 | YEMWestern Asia | 0.620 |
02In 2009
At either end
The 5 countries at each end of the headline.
032008 → 2009
Since 2008
What changed between 2008 and this one: who joined or left, and how far the headline moved.
- +2 / −0countries joined / left
- 151values changed, of 162 in both
- 97 · 54rose · fell
- 11unchanged
Rose most
Republic of the Congo0.894 → 0.930+0.036
Maldives0.939 → 0.965+0.026
Pakistan0.698 → 0.723+0.025
Zimbabwe0.873 → 0.888+0.015
Niger0.741 → 0.755+0.014
Fell most
Tajikistan0.880 → 0.830−0.050
Egypt0.833 → 0.791−0.042
Bahrain0.977 → 0.941−0.036
United Arab Emirates0.991 → 0.965−0.026
Costa Rica0.980 → 0.961−0.019
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 2009.
113 distinct values among 164
Values are stored exactly as published, to 3 decimals. 4 countries share 0.965. 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 164 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
164 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-2009-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 (2009). Gender Development Index, 2009 [data set], describing 2009. As held by Nations Inquiry, https://nationsinquiry.com/datasets/gender-development/2009
0634 held
Other years
‹ The year before
Gender Development Index, 2008162 countries
The year after ›
Gender Development Index, 2010172 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, 2009: questions and answers
Which country has the highest Gender Development Index in Gender Development Index, 2009?
Latvia, at 1.043, of the 164 countries in the file.
What year does Gender Development Index, 2009 describe?
2009.
How many countries does Gender Development Index, 2009 cover?
164.
Where can I download Gender Development Index, 2009?
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, 2009 the newest?
No. The newest held here is Gender Development Index, 2023.