Data for 2014
Gender Development Index, 2014
2014, as UNDP Human Development Report Office’s 2025 release gives it · stored as published, never rewritten
Gender Development Index, 2014 covers 174 countries. Mongolia is highest, at 1.037; Yemen is lowest, at 0.567. The middle country reads 0.961. Against 2013, 150 values changed (98 up, 52 down), 1 country joined.
Gender Development Index · Data for 2014
HighestMongolia
1.037LowestYemen
0.567Shaded 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, 2014, 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 174 countries · select a heading to sort
| derived | ||
|---|---|---|
| 1 | SVNSouthern Europe | 1.000 |
| =2 | BRNSouth-eastern Asia | 1.001 |
| =2 | VNMSouth-eastern Asia | 1.001 |
| 4 | NORNorthern Europe | 0.999 |
| 5 | NAMSouthern Africa | 1.003 |
| =6 | DOMCaribbean | 0.997 |
| =6 | HNDCentral America | 0.997 |
| 8 | PHLSouth-eastern Asia | 0.996 |
| =9 | BGREastern Europe | 0.995 |
| =9 | USANorthern America | 0.995 |
| =11 | ARGSouth America | 0.994 |
| =11 | BRASouth America | 0.994 |
| =11 | KWTWestern Asia | 1.006 |
| =11 | LSOSouthern Africa | 0.994 |
| 15 | BDIEastern Africa | 1.007 |
| 16 | SVKEastern Europe | 0.993 |
| =17 | PANCentral America | 1.008 |
| =17 | LCACaribbean | 1.008 |
| =17 | SURSouth America | 0.992 |
| =17 | THASouth-eastern Asia | 1.008 |
| 21 | BHSCaribbean | 1.009 |
| =22 | COLSouth America | 0.991 |
| =22 | HRVSouthern Europe | 0.991 |
| =22 | PRTSouthern Europe | 0.991 |
| =25 | FINNorthern Europe | 0.990 |
| =25 | POLEastern Europe | 1.010 |
| =27 | CPVWestern Africa | 0.989 |
| =27 | HUNEastern Europe | 0.989 |
| =27 | LUXWestern Europe | 0.989 |
| =30 | PLWMicronesia | 1.012 |
| =30 | SWENorthern Europe | 0.988 |
| =32 | CYPWestern Asia | 0.987 |
| =32 | SGPSouth-eastern Asia | 0.987 |
| =34 | FRAWestern Europe | 0.986 |
| =34 | GABMiddle Africa | 0.986 |
| =34 | TTOCaribbean | 0.986 |
| =37 | JAMCaribbean | 1.015 |
| =37 | SYCEastern Africa | 1.015 |
| =39 | CANNorthern America | 0.984 |
| =39 | SLVCentral America | 0.984 |
| =39 | QATWestern Asia | 1.016 |
| =39 | SMRSouthern Europe | 0.984 |
| =39 | UKREastern Europe | 1.016 |
| 44 | VENSouth America | 1.017 |
| 45 | ROUEastern Europe | 0.983 |
| =46 | CZEEastern Europe | 0.982 |
| =46 | KAZCentral Asia | 1.018 |
| =46 | LBYNorthern Africa | 0.982 |
| =46 | MYSSouth-eastern Asia | 0.982 |
| =46 | ZAFSouthern Africa | 0.982 |
| =51 | BLREastern Europe | 1.019 |
| =51 | MDAEastern Europe | 1.019 |
| 53 | ESPSouthern Europe | 0.981 |
| 54 | TONPolynesia | 0.980 |
| =55 | ESTNorthern Europe | 1.021 |
| =55 | URYSouth America | 1.021 |
| =57 | ARMWestern Asia | 0.979 |
| =57 | CRICentral America | 0.979 |
| 59 | ECUSouth America | 0.978 |
| 60 | BRBCaribbean | 1.023 |
| =61 | BLZCentral America | 0.977 |
| =61 | NICCentral America | 0.977 |
| =63 | GEOWestern Asia | 0.976 |
| =63 | PRYSouth America | 0.976 |
| =63 | SRBSouthern Europe | 0.976 |
| =66 | DNKNorthern Europe | 0.974 |
| =66 | LTUNorthern Europe | 1.026 |
| =66 | RUSEastern Europe | 1.026 |
| 69 | ISRWestern Asia | 0.973 |
| =70 | AUTWestern Europe | 0.970 |
| =70 | LVANorthern Europe | 1.030 |
| =72 | BELWestern Europe | 0.969 |
| =72 | IRLNorthern Europe | 0.969 |
| =72 | ITASouthern Europe | 0.969 |
| =72 | GBRNorthern Europe | 0.969 |
| 76 | GRCSouthern Europe | 0.968 |
| 77 | BWASouthern Africa | 0.967 |
| =78 | HKGEastern Asia | 0.966 |
| =78 | CHEWestern Europe | 0.966 |
| =80 | ISLNorthern Europe | 0.965 |
| =80 | UZBCentral Asia | 0.965 |
| =82 | KGZCentral Asia | 0.964 |
| =82 | MNESouthern Europe | 0.964 |
| 84 | MNGEastern Asia | 1.037 |
| 85 | NZLAustralia and New Zealand | 0.962 |
| =86 | AUSAustralia and New Zealand | 0.961 |
| =86 | CHLSouth America | 0.961 |
| =86 | MDVSouthern Asia | 0.961 |
| =86 | MUSEastern Africa | 0.961 |
| =90 | JPNEastern Asia | 0.960 |
| =90 | LKASouthern Asia | 0.960 |
| =92 | LBNWestern Asia | 0.958 |
| =92 | MLTSouthern Europe | 0.958 |
| =92 | WSMPolynesia | 0.958 |
| 95 | ALBSouthern Europe | 0.957 |
| =96 | DEUWestern Europe | 0.956 |
| =96 | NLDWestern Europe | 0.956 |
| 98 | MEXCentral America | 0.954 |
| =99 | BTNSouthern Asia | 0.953 |
| =99 | LIEWestern Europe | 0.953 |
| =101 | AZEWestern Asia | 0.951 |
| =101 | CUBCaribbean | 0.951 |
| =101 | NRUMicronesia | 0.951 |
| =104 | CHNEastern Asia | 0.950 |
| =104 | KIRMicronesia | 0.950 |
| =104 | MKDSouthern Europe | 0.950 |
| 107 | FJIMelanesia | 0.948 |
| =108 | PERSouth America | 0.946 |
| =108 | AREWestern Asia | 0.946 |
| 110 | BHRWestern Asia | 0.943 |
| 111 | BOLSouth America | 0.942 |
| =112 | MDGEastern Africa | 0.941 |
| =112 | RWAEastern Africa | 0.941 |
| =114 | BIHSouthern Europe | 0.936 |
| =114 | STPMiddle Africa | 0.936 |
| =114 | KOREastern Asia | 0.936 |
| 117 | KENEastern Africa | 0.935 |
| 118 | OMNWestern Asia | 0.934 |
| 119 | VUTMelanesia | 0.933 |
| 120 | GTMCentral America | 0.932 |
| 121 | TUVPolynesia | 0.931 |
| 122 | TZAEastern Africa | 0.930 |
| 123 | UGAEastern Africa | 0.929 |
| =124 | IDNSouth-eastern Asia | 0.926 |
| =124 | FSMMicronesia | 0.926 |
| 126 | SLBMelanesia | 0.925 |
| 127 | MHLMicronesia | 0.922 |
| 128 | TURWestern Asia | 0.919 |
| =129 | TLSSouth-eastern Asia | 0.917 |
| =129 | ZWEEastern Africa | 0.917 |
| =131 | KHMSouth-eastern Asia | 0.916 |
| =131 | MOZEastern Africa | 0.916 |
| 133 | SAUWestern Asia | 0.914 |
| =134 | MWIEastern Africa | 0.913 |
| =134 | PNGMelanesia | 0.913 |
| 136 | NPLSouthern Asia | 0.912 |
| 137 | HTICaribbean | 0.907 |
| 138 | LAOSouth-eastern Asia | 0.905 |
| 139 | GHAWestern Africa | 0.901 |
| 140 | ZMBEastern Africa | 0.900 |
| =141 | COMEastern Africa | 0.899 |
| =141 | TJKCentral Asia | 0.899 |
| =143 | COGMiddle Africa | 0.898 |
| =143 | TUNNorthern Africa | 0.898 |
| 145 | SENWestern Africa | 0.897 |
| 146 | BFAWestern Africa | 0.896 |
| 147 | EGYNorthern Africa | 0.888 |
| 148 | GMBWestern Africa | 0.885 |
| =149 | BGDSouthern Asia | 0.881 |
| =149 | CIVWestern Africa | 0.881 |
| 151 | PSEWestern Asia | 0.872 |
| 152 | AGOMiddle Africa | 0.871 |
| 153 | ETHEastern Africa | 0.868 |
| =154 | DZANorthern Africa | 0.865 |
| =154 | IRNSouthern Asia | 0.865 |
| 156 | CMRMiddle Africa | 0.863 |
| 157 | MRTWestern Africa | 0.860 |
| 158 | JORWestern Asia | 0.857 |
| 159 | NGAWestern Africa | 0.856 |
| 160 | MARNorthern Africa | 0.845 |
| 161 | BENWestern Africa | 0.844 |
| 162 | SDNNorthern Africa | 0.842 |
| =163 | CODMiddle Africa | 0.841 |
| =163 | TGOWestern Africa | 0.841 |
| 165 | NERWestern Africa | 0.839 |
| 166 | INDSouthern Asia | 0.838 |
| 167 | SYRWestern Asia | 0.834 |
| 168 | LBRWestern Africa | 0.832 |
| 169 | SLEWestern Africa | 0.829 |
| 170 | MLIWestern Africa | 0.823 |
| 171 | IRQWestern Asia | 0.796 |
| 172 | PAKSouthern Asia | 0.750 |
| 173 | AFGSouthern Asia | 0.673 |
| 174 | YEMWestern Asia | 0.567 |
02In 2014
At either end
The 5 countries at each end of the headline.
Lowest
- 174
Yemen0.567
- 173
Afghanistan0.673
- 172
Pakistan0.750
- 171
Iraq0.796
- 170
Mali0.823
1 is parity; further away in either direction is worse. The middle country reads 0.961. “Shared” marks a value another country also holds.
032013 → 2014
Since 2013
What changed between 2013 and this one: who joined or left, and how far the headline moved.
- +1 / −0countries joined / left
- 150values changed, of 173 in both
- 98 · 52rose · fell
- 23unchanged
Rose most
Burundi0.920 → 1.007+0.087
Niger0.772 → 0.839+0.067
Palau0.984 → 1.012+0.028
Seychelles0.989 → 1.015+0.026
Comoros0.876 → 0.899+0.023
Fell most
Mali0.868 → 0.823−0.045
Yemen0.599 → 0.567−0.032
Cameroon0.878 → 0.863−0.015
United Arab Emirates0.958 → 0.946−0.012
Denmark0.983 → 0.974−0.009
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 2014.
115 distinct values among 174
Values are stored exactly as published, to 3 decimals. 4 countries share 0.982. 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 174 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
174 rows · 4.9 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download gender-development-2014-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 (2014). Gender Development Index, 2014 [data set], describing 2014. As held by Nations Inquiry, https://nationsinquiry.com/datasets/gender-development/2014
0634 held
Other years
‹ The year before
Gender Development Index, 2013173 countries
The year after ›
Gender Development Index, 2015178 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, 2014: questions and answers
Which country has the highest Gender Development Index in Gender Development Index, 2014?
Mongolia, at 1.037, of the 174 countries in the file.
What year does Gender Development Index, 2014 describe?
2014.
How many countries does Gender Development Index, 2014 cover?
174.
Where can I download Gender Development Index, 2014?
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, 2014 the newest?
No. The newest held here is Gender Development Index, 2023.