Data for 2015
Climate Vulnerability (ND-GAIN), 2015
2015, as ND-GAIN’s 2026 release gives it · stored as published, never rewritten
Climate Vulnerability (ND-GAIN), 2015 covers 190 countries. Somalia is highest, at 0.64515; Norway is lowest, at 0.26498. The middle country reads 0.45150. Against 2014, 190 values changed (76 up, 114 down), the same countries are covered.
Climate Vulnerability (ND-GAIN) · Data for 2015
HighestSomalia
0.64515LowestNorway
0.26498Shaded by value in five groups of equal size, darkest at the lowest end.
01ND-GAIN’s rank
The table
Every country and every column of Climate Vulnerability (ND-GAIN), 2015, as published. The rank is ND-GAIN’s own, as printed. “=” marks a shared position.
Showing 25 of 190 countries · select a heading to sort
| 1 | NORNorthern Europe | 0.26498 |
| 2 | GBRNorthern Europe | 0.27711 |
| 3 | NZLAustralia and New Zealand | 0.29422 |
| 4 | CZEEastern Europe | 0.29802 |
| 5 | CANNorthern America | 0.30041 |
| 6 | CHEWestern Europe | 0.30255 |
| 7 | DEUWestern Europe | 0.30642 |
| =8 | FINNorthern Europe | 0.31284 |
| =8 | POLEastern Europe | 0.31302 |
| 10 | USANorthern America | 0.31639 |
| =11 | ISLNorthern Europe | 0.31706 |
| =11 | RUSEastern Europe | 0.31666 |
| 13 | AUSAustralia and New Zealand | 0.32109 |
| =14 | IRLNorthern Europe | 0.32152 |
| =14 | ESPSouthern Europe | 0.32181 |
| =14 | SWENorthern Europe | 0.32227 |
| 17 | FRAWestern Europe | 0.32605 |
| 18 | AUTWestern Europe | 0.32752 |
| =19 | DNKNorthern Europe | 0.33485 |
| =19 | LUXWestern Europe | 0.33518 |
| 21 | LCACaribbean | 0.34219 |
| 22 | SVNSouthern Europe | 0.34799 |
| =23 | CYPWestern Asia | 0.35283 |
| =23 | KAZCentral Asia | 0.35346 |
| =25 | ANDSouthern Europe | 0.35792 |
| =25 | JPNEastern Asia | 0.35850 |
| 27 | GRCSouthern Europe | 0.35951 |
| 28 | ITASouthern Europe | 0.36190 |
| 29 | ESTNorthern Europe | 0.36265 |
| =30 | CHLSouth America | 0.36368 |
| =30 | NLDWestern Europe | 0.36425 |
| =30 | SVKEastern Europe | 0.36394 |
| =33 | MLTSouthern Europe | 0.36465 |
| =33 | KOREastern Asia | 0.36456 |
| 35 | ISRWestern Asia | 0.36717 |
| 36 | BRASouth America | 0.36994 |
| 37 | BGREastern Europe | 0.37161 |
| 38 | PRTSouthern Europe | 0.37576 |
| 39 | KGZCentral Asia | 0.38224 |
| 40 | LTUNorthern Europe | 0.38270 |
| 41 | HUNEastern Europe | 0.38350 |
| =42 | MYSSouth-eastern Asia | 0.38626 |
| =42 | SGPSouth-eastern Asia | 0.38607 |
| =42 | UKREastern Europe | 0.38629 |
| =45 | BELWestern Europe | 0.38660 |
| =45 | BIHSouthern Europe | 0.38706 |
| =45 | VENSouth America | 0.38695 |
| 48 | BLREastern Europe | 0.39078 |
| =49 | HRVSouthern Europe | 0.39214 |
| =49 | LVANorthern Europe | 0.39232 |
| =49 | TTOCaribbean | 0.39152 |
| 52 | CRICentral America | 0.39300 |
| =53 | PRYSouth America | 0.39535 |
| =53 | UZBCentral Asia | 0.39531 |
| =55 | ROUEastern Europe | 0.39746 |
| =55 | TJKCentral Asia | 0.39692 |
| =57 | ARMWestern Asia | 0.39860 |
| =57 | CHNEastern Asia | 0.39902 |
| =57 | URYSouth America | 0.39922 |
| 60 | MEXCentral America | 0.40111 |
| 61 | TURWestern Asia | 0.40299 |
| 62 | MKDSouthern Europe | 0.40405 |
| 63 | ARGSouth America | 0.40929 |
| 64 | MCOWestern Europe | 0.41013 |
| 65 | VCTCaribbean | 0.41209 |
| 66 | PANCentral America | 0.41728 |
| 67 | MNGEastern Asia | 0.41929 |
| 68 | COLSouth America | 0.42161 |
| 69 | QATWestern Asia | 0.42323 |
| 70 | GRDCaribbean | 0.42493 |
| =71 | BRNSouth-eastern Asia | 0.42572 |
| =71 | IRNSouthern Asia | 0.42643 |
| =71 | NICCentral America | 0.42648 |
| =74 | PERSouth America | 0.42934 |
| =74 | TUNNorthern Africa | 0.42918 |
| =76 | AZEWestern Asia | 0.43028 |
| =76 | GEOWestern Asia | 0.42973 |
| 78 | MNESouthern Europe | 0.43136 |
| 79 | DMACaribbean | 0.43256 |
| =80 | BRBCaribbean | 0.43477 |
| =80 | SURSouth America | 0.43506 |
| 82 | JORWestern Asia | 0.43595 |
| 83 | KWTWestern Asia | 0.43737 |
| 84 | JAMCaribbean | 0.43770 |
| 85 | BHSCaribbean | 0.44346 |
| =86 | GABMiddle Africa | 0.44546 |
| =86 | IDNSouth-eastern Asia | 0.44461 |
| =86 | SYCEastern Africa | 0.44494 |
| =86 | TKMCentral Asia | 0.44491 |
| 90 | THASouth-eastern Asia | 0.44717 |
| 91 | AREWestern Asia | 0.44757 |
| 92 | DZANorthern Africa | 0.44865 |
| 93 | ZAFSouthern Africa | 0.44959 |
| =94 | CUBCaribbean | 0.45142 |
| =94 | SLVCentral America | 0.45056 |
| =96 | ALBSouthern Europe | 0.45218 |
| =96 | GNQMiddle Africa | 0.45212 |
| =96 | MDAEastern Europe | 0.45157 |
| 99 | SRBSouthern Europe | 0.45260 |
| 100 | SAUWestern Asia | 0.45557 |
| =101 | LBNWestern Asia | 0.46224 |
| =101 | PHLSouth-eastern Asia | 0.46240 |
| 103 | LKASouthern Asia | 0.46257 |
| 104 | OMNWestern Asia | 0.46510 |
| =105 | BOLSouth America | 0.46629 |
| =105 | MUSEastern Africa | 0.46556 |
| 107 | HNDCentral America | 0.46757 |
| 108 | CPVWestern Africa | 0.46986 |
| 109 | KNACaribbean | 0.47281 |
| 110 | MARNorthern Africa | 0.47530 |
| =111 | DOMCaribbean | 0.47616 |
| =111 | GTMCentral America | 0.47617 |
| =113 | CMRMiddle Africa | 0.47838 |
| =113 | ECUSouth America | 0.47837 |
| 115 | EGYNorthern Africa | 0.48517 |
| 116 | PLWMicronesia | 0.48615 |
| 117 | BLZCentral America | 0.48708 |
| 118 | VNMSouth-eastern Asia | 0.48808 |
| =119 | ATGCaribbean | 0.48886 |
| =119 | FJIMelanesia | 0.48918 |
| 121 | CIVWestern Africa | 0.49039 |
| =122 | BWASouthern Africa | 0.49228 |
| =122 | GINWestern Africa | 0.49212 |
| 124 | NGAWestern Africa | 0.49541 |
| 125 | KENEastern Africa | 0.49664 |
| =126 | BHRWestern Asia | 0.49800 |
| =126 | COMEastern Africa | 0.49772 |
| =126 | IRQWestern Asia | 0.49752 |
| 129 | LAOSouth-eastern Asia | 0.49926 |
| 130 | LBYNorthern Africa | 0.49975 |
| 131 | MOZEastern Africa | 0.50202 |
| 132 | GHAWestern Africa | 0.50262 |
| 133 | KHMSouth-eastern Asia | 0.50546 |
| 134 | ZMBEastern Africa | 0.50571 |
| =135 | GUYSouth America | 0.51066 |
| =135 | LSOSouthern Africa | 0.51119 |
| =135 | MMRSouth-eastern Asia | 0.51093 |
| =138 | INDSouthern Asia | 0.51311 |
| =138 | ZWEEastern Africa | 0.51257 |
| =140 | PRKEastern Asia | 0.51606 |
| =140 | TGOWestern Africa | 0.51646 |
| =142 | MHLMicronesia | 0.51707 |
| =142 | SYRWestern Asia | 0.51683 |
| =142 | TZAEastern Africa | 0.51732 |
| 145 | SWZSouthern Africa | 0.51776 |
| =146 | AGOMiddle Africa | 0.52490 |
| =146 | NPLSouthern Asia | 0.52549 |
| =148 | BFAWestern Africa | 0.52900 |
| =148 | NRUMicronesia | 0.52915 |
| =150 | WSMPolynesia | 0.52985 |
| =150 | STPMiddle Africa | 0.52983 |
| 152 | PAKSouthern Asia | 0.53174 |
| 153 | NAMSouthern Africa | 0.53430 |
| 154 | SENWestern Africa | 0.53757 |
| 155 | MDVSouthern Asia | 0.53964 |
| 156 | BTNSouthern Asia | 0.54190 |
| 157 | COGMiddle Africa | 0.54297 |
| =158 | HTICaribbean | 0.54501 |
| =158 | PNGMelanesia | 0.54500 |
| 160 | ETHEastern Africa | 0.54564 |
| 161 | UGAEastern Africa | 0.54884 |
| 162 | MDGEastern Africa | 0.55738 |
| =163 | BGDSouthern Asia | 0.55760 |
| =163 | KIRMicronesia | 0.55845 |
| 165 | VUTMelanesia | 0.56911 |
| 166 | GMBWestern Africa | 0.57054 |
| 167 | TUVPolynesia | 0.57452 |
| 168 | TLSSouth-eastern Asia | 0.57836 |
| 169 | MWIEastern Africa | 0.58035 |
| 170 | CODMiddle Africa | 0.58087 |
| 171 | CAFMiddle Africa | 0.58891 |
| 172 | BENWestern Africa | 0.59057 |
| 173 | LBRWestern Africa | 0.59708 |
| 174 | NERWestern Africa | 0.59775 |
| =175 | SLEWestern Africa | 0.60166 |
| =175 | YEMWestern Asia | 0.60161 |
| =177 | BDIEastern Africa | 0.60948 |
| =177 | TONPolynesia | 0.60865 |
| 179 | MLIWestern Africa | 0.60984 |
| 180 | DJIEastern Africa | 0.61327 |
| =181 | RWAEastern Africa | 0.61575 |
| =181 | SLBMelanesia | 0.61567 |
| 183 | AFGSouthern Asia | 0.61766 |
| 184 | FSMMicronesia | 0.62426 |
| 185 | SDNNorthern Africa | 0.62528 |
| 186 | GNBWestern Africa | 0.63389 |
| =187 | ERIEastern Africa | 0.63731 |
| =187 | MRTWestern Africa | 0.63676 |
| 189 | TCDMiddle Africa | 0.64206 |
| 190 | SOMEastern Africa | 0.64515 |
02In 2015
At either end
The 5 countries at each end of the headline.
Highest
- #190
Somalia0.64515
- #189
Chad0.64206
- #187
Eritrea0.63731
- #187
Mauritania0.63676
- #186
Guinea-Bissau0.63389
Lowest
- #1
Norway0.26498
- #2
United Kingdom0.27711
- #3
New Zealand0.29422
- #4
Czechia0.29802
- #5
Canada0.30041
A higher value is the worse result. The middle country reads 0.45150. “Shared” marks a value another country also holds.
032014 → 2015
Since 2014
What changed between 2014 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 190values changed, of 190 in both
- 76 · 114rose · fell
- 0unchanged
Rose most
Fell most
Kiribati0.58105 → 0.55845−0.02260
Papua New Guinea0.56216 → 0.54500−0.01716
Solomon Islands0.63023 → 0.61567−0.01456
Myanmar0.52530 → 0.51093−0.01437
Comoros0.50999 → 0.49772−0.01227
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 2026 release
Every year in this series comes from ND-GAIN’s 2026 release, recalculated on one method. It can differ from what was first published for 2015.
The rank is ND-GAIN’s
Printed as the publisher ranked the countries; never re-ranked here.
Nothing missing
Every one of the 190 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
190 rows · 8.0 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download climate-vulnerability-2015-nations-inquiry.csv - ↗
The publisher’s original
ND-GAIN’s own file, on its own site.
resources-2026-14-07-13h00.zip
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 Unported · what it allows, in plain words
Cite this edition
Notre Dame Global Adaptation Initiative (ND-GAIN), University of Notre Dame (2015). Climate Vulnerability (ND-GAIN), 2015 [data set], describing 2015. As held by Nations Inquiry, https://nationsinquiry.com/datasets/climate-vulnerability/2015
0630 held
Other years
‹ The year before
Climate Vulnerability (ND-GAIN), 2014190 countries
The year after ›
Climate Vulnerability (ND-GAIN), 2016190 countries
All of them
Climate Vulnerability (ND-GAIN): every year30 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Climate Vulnerability (ND-GAIN), 2015: questions and answers
Which country has the highest climate vulnerability in Climate Vulnerability (ND-GAIN), 2015?
Somalia, at 0.64515, of the 190 countries in the file.
What year does Climate Vulnerability (ND-GAIN), 2015 describe?
2015.
How many countries does Climate Vulnerability (ND-GAIN), 2015 cover?
190.
Where can I download Climate Vulnerability (ND-GAIN), 2015?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Climate Vulnerability (ND-GAIN), 2015 the newest?
No. The newest held here is Climate Vulnerability (ND-GAIN), 2024.