Data for 2020
Climate Vulnerability (ND-GAIN), 2020
2020, as ND-GAIN’s 2026 release gives it · stored as published, never rewritten
Climate Vulnerability (ND-GAIN), 2020 covers 190 countries. Somalia is highest, at 0.64039; Norway is lowest, at 0.26640. The middle country reads 0.44790. Against 2019, 190 values changed (84 up, 106 down), the same countries are covered.
Climate Vulnerability (ND-GAIN) · Data for 2020
HighestSomalia
0.64039LowestNorway
0.26640Shaded 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), 2020, 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 | 0.26640 |
| 2 | GBRNorthern Europe | 0.27647 |
| 3 | CANNorthern America | 0.28543 |
| 4 | NZLAustralia and New Zealand | 0.29468 |
| 5 | CHEWestern Europe | 0.29867 |
| 6 | CZEEastern Europe | 0.29977 |
| 7 | AUSAustralia and New Zealand | 0.30266 |
| 8 | DEUWestern Europe | 0.30457 |
| 9 | FINNorthern Europe | 0.30756 |
| =10 | IRLNorthern Europe | 0.31190 |
| =10 | RUSEastern Europe | 0.31229 |
| =12 | ISLNorthern Europe | 0.31281 |
| =12 | POLEastern Europe | 0.31284 |
| =14 | ESPSouthern Europe | 0.31752 |
| =14 | USANorthern America | 0.31797 |
| =16 | AUTWestern Europe | 0.32131 |
| =16 | FRAWestern Europe | 0.32107 |
| 18 | SWENorthern Europe | 0.32414 |
| 19 | LUXWestern Europe | 0.33918 |
| =20 | DNKNorthern Europe | 0.34328 |
| =20 | SVNSouthern Europe | 0.34313 |
| 22 | CHLSouth America | 0.34873 |
| 23 | ANDSouthern Europe | 0.34970 |
| =24 | CYPWestern Asia | 0.35241 |
| =24 | KGZCentral Asia | 0.35171 |
| =24 | PRTSouthern Europe | 0.35247 |
| 27 | BGREastern Europe | 0.35423 |
| 28 | JPNEastern Asia | 0.35514 |
| =29 | GRCSouthern Europe | 0.35655 |
| =29 | LCACaribbean | 0.35701 |
| =31 | ISRWestern Asia | 0.35797 |
| =31 | MLTSouthern Europe | 0.35832 |
| =31 | KOREastern Asia | 0.35835 |
| 34 | ITASouthern Europe | 0.35934 |
| 35 | ESTNorthern Europe | 0.35990 |
| =36 | KAZCentral Asia | 0.36171 |
| =36 | TJKCentral Asia | 0.36191 |
| 38 | BLREastern Europe | 0.36305 |
| 39 | SVKEastern Europe | 0.36672 |
| 40 | NLDWestern Europe | 0.36775 |
| 41 | BRASouth America | 0.37016 |
| 42 | MYSSouth-eastern Asia | 0.37420 |
| 43 | BELWestern Europe | 0.37875 |
| 44 | BIHSouthern Europe | 0.37960 |
| =45 | LTUNorthern Europe | 0.38366 |
| =45 | SGPSouth-eastern Asia | 0.38433 |
| 47 | HUNEastern Europe | 0.38638 |
| 48 | UZBCentral Asia | 0.38714 |
| =49 | CRICentral America | 0.38758 |
| =49 | VENSouth America | 0.38780 |
| 51 | PRYSouth America | 0.39038 |
| 52 | UKREastern Europe | 0.39077 |
| =53 | BRBCaribbean | 0.39234 |
| =53 | LVANorthern Europe | 0.39191 |
| =53 | TTOCaribbean | 0.39157 |
| 56 | HRVSouthern Europe | 0.39300 |
| 57 | URYSouth America | 0.39647 |
| 58 | CHNEastern Asia | 0.39656 |
| 59 | ROUEastern Europe | 0.39809 |
| 60 | TURWestern Asia | 0.39937 |
| 61 | MEXCentral America | 0.40110 |
| 62 | MNGEastern Asia | 0.40401 |
| 63 | MCOWestern Europe | 0.40483 |
| 64 | MKDSouthern Europe | 0.40717 |
| =65 | ARGSouth America | 0.40780 |
| =65 | ARMWestern Asia | 0.40787 |
| =65 | COLSouth America | 0.40821 |
| 68 | VCTCaribbean | 0.41656 |
| =69 | GEOWestern Asia | 0.41787 |
| =69 | GRDCaribbean | 0.41829 |
| =69 | PERSouth America | 0.41794 |
| 72 | PANCentral America | 0.41961 |
| =73 | QATWestern Asia | 0.42081 |
| =73 | AREWestern Asia | 0.42146 |
| =75 | MNESouthern Europe | 0.42197 |
| =75 | NICCentral America | 0.42248 |
| 77 | BRNSouth-eastern Asia | 0.42574 |
| 78 | IRNSouthern Asia | 0.42844 |
| 79 | LKASouthern Asia | 0.42891 |
| 80 | AZEWestern Asia | 0.43023 |
| =81 | DZANorthern Africa | 0.43174 |
| =81 | JAMCaribbean | 0.43195 |
| =81 | SYCEastern Africa | 0.43199 |
| 84 | ALBSouthern Europe | 0.43277 |
| 85 | IDNSouth-eastern Asia | 0.43356 |
| =86 | JORWestern Asia | 0.43719 |
| =86 | SURSouth America | 0.43657 |
| 88 | TUNNorthern Africa | 0.43803 |
| =89 | KWTWestern Asia | 0.43965 |
| =89 | PHLSouth-eastern Asia | 0.44019 |
| 91 | ZAFSouthern Africa | 0.44418 |
| 92 | TKMCentral Asia | 0.44495 |
| 93 | BHSCaribbean | 0.44583 |
| 94 | SLVCentral America | 0.44661 |
| =95 | DMACaribbean | 0.44811 |
| =95 | SAUWestern Asia | 0.44830 |
| =95 | THASouth-eastern Asia | 0.44769 |
| 98 | BOLSouth America | 0.44919 |
| 99 | MUSEastern Africa | 0.44991 |
| =100 | GNQMiddle Africa | 0.45170 |
| =100 | MDAEastern Europe | 0.45218 |
| =102 | CUBCaribbean | 0.45370 |
| =102 | MARNorthern Africa | 0.45444 |
| 104 | LBNWestern Asia | 0.45901 |
| 105 | GABMiddle Africa | 0.46072 |
| 106 | GTMCentral America | 0.46462 |
| 107 | HNDCentral America | 0.46679 |
| =108 | DOMCaribbean | 0.46767 |
| =108 | ECUSouth America | 0.46774 |
| =110 | EGYNorthern Africa | 0.46923 |
| =110 | GHAWestern Africa | 0.46914 |
| =110 | SRBSouthern Europe | 0.46891 |
| 113 | BWASouthern Africa | 0.47013 |
| 114 | OMNWestern Asia | 0.47100 |
| =115 | CPVWestern Africa | 0.47411 |
| =115 | GUYSouth America | 0.47435 |
| 117 | CMRMiddle Africa | 0.47485 |
| =118 | KHMSouth-eastern Asia | 0.47561 |
| =118 | GINWestern Africa | 0.47638 |
| =118 | KNACaribbean | 0.47594 |
| 121 | INDSouthern Asia | 0.48045 |
| 122 | ATGCaribbean | 0.48057 |
| 123 | COMEastern Africa | 0.48193 |
| =124 | LAOSouth-eastern Asia | 0.48439 |
| =124 | PLWMicronesia | 0.48415 |
| 126 | FJIMelanesia | 0.48597 |
| 127 | NGAWestern Africa | 0.48843 |
| 128 | SWZSouthern Africa | 0.48885 |
| =129 | BLZCentral America | 0.48971 |
| =129 | CIVWestern Africa | 0.48965 |
| =129 | KENEastern Africa | 0.49028 |
| =132 | LBYNorthern Africa | 0.49421 |
| =132 | NRUMicronesia | 0.49385 |
| 134 | BHRWestern Asia | 0.49591 |
| =135 | IRQWestern Asia | 0.49689 |
| =135 | ZMBEastern Africa | 0.49692 |
| 137 | VNMSouth-eastern Asia | 0.49782 |
| =138 | BFAWestern Africa | 0.50227 |
| =138 | MOZEastern Africa | 0.50187 |
| =138 | TZAEastern Africa | 0.50190 |
| =141 | NPLSouthern Asia | 0.50440 |
| =141 | ZWEEastern Africa | 0.50416 |
| 143 | LSOSouthern Africa | 0.50872 |
| 144 | MHLMicronesia | 0.50966 |
| =145 | NAMSouthern Africa | 0.51148 |
| =145 | TGOWestern Africa | 0.51089 |
| 147 | PRKEastern Asia | 0.51323 |
| 148 | WSMPolynesia | 0.51376 |
| =149 | ETHEastern Africa | 0.51553 |
| =149 | SYRWestern Asia | 0.51586 |
| 151 | MMRSouth-eastern Asia | 0.51683 |
| 152 | STPMiddle Africa | 0.52337 |
| 153 | PAKSouthern Asia | 0.52505 |
| 154 | SENWestern Africa | 0.52855 |
| =155 | AGOMiddle Africa | 0.53239 |
| =155 | BTNSouthern Asia | 0.53240 |
| 157 | UGAEastern Africa | 0.53484 |
| 158 | MDVSouthern Asia | 0.53583 |
| 159 | VUTMelanesia | 0.53759 |
| 160 | HTICaribbean | 0.53962 |
| 161 | COGMiddle Africa | 0.54060 |
| 162 | BGDSouthern Asia | 0.54371 |
| 163 | GMBWestern Africa | 0.54670 |
| 164 | MDGEastern Africa | 0.55344 |
| 165 | TUVPolynesia | 0.55359 |
| 166 | PNGMelanesia | 0.55614 |
| 167 | KIRMicronesia | 0.55778 |
| 168 | LBRWestern Africa | 0.56146 |
| 169 | TLSSouth-eastern Asia | 0.56960 |
| 170 | MLIWestern Africa | 0.57143 |
| 171 | CODMiddle Africa | 0.57389 |
| 172 | MWIEastern Africa | 0.57650 |
| 173 | BENWestern Africa | 0.58502 |
| =174 | NERWestern Africa | 0.58642 |
| =174 | SLBMelanesia | 0.58580 |
| 176 | CAFMiddle Africa | 0.58975 |
| 177 | DJIEastern Africa | 0.59411 |
| 178 | TONPolynesia | 0.59474 |
| 179 | SLEWestern Africa | 0.60677 |
| =180 | RWAEastern Africa | 0.60811 |
| =180 | YEMWestern Asia | 0.60822 |
| =182 | AFGSouthern Asia | 0.61015 |
| =182 | BDIEastern Africa | 0.60966 |
| 184 | FSMMicronesia | 0.61545 |
| 185 | SDNNorthern Africa | 0.62226 |
| 186 | GNBWestern Africa | 0.62945 |
| 187 | MRTWestern Africa | 0.63211 |
| 188 | ERIEastern Africa | 0.63282 |
| 189 | TCDMiddle Africa | 0.63476 |
| 190 | SOMEastern Africa | 0.64039 |
02In 2020
At either end
The 5 countries at each end of the headline.
Highest
- #190
Somalia0.64039
- #189
Chad0.63476
- #188
Eritrea0.63282
- #187
Mauritania0.63211
- #186
Guinea-Bissau0.62945
Lowest
- #1
Norway0.26640
- #2
United Kingdom0.27647
- #3
Canada0.28543
- #4
New Zealand0.29468
- #5
Switzerland0.29867
A higher value is the worse result. The middle country reads 0.44790. “Shared” marks a value another country also holds.
032019 → 2020
Since 2019
What changed between 2019 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 190values changed, of 190 in both
- 84 · 106rose · fell
- 0unchanged
Rose most
Kiribati0.52788 → 0.55778+0.02990
Dominica0.42695 → 0.44811+0.02116
Saint Lucia0.33634 → 0.35701+0.02068
Ecuador0.45466 → 0.46774+0.01308
Gabon0.44821 → 0.46072+0.01251
Fell most
Solomon Islands0.62663 → 0.58580−0.04083
Guyana0.50352 → 0.47435−0.02916
Vanuatu0.56547 → 0.53759−0.02788
Georgia0.44534 → 0.41787−0.02747
Algeria0.45477 → 0.43174−0.02303
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 2020.
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-2020-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 (2020). Climate Vulnerability (ND-GAIN), 2020 [data set], describing 2020. As held by Nations Inquiry, https://nationsinquiry.com/datasets/climate-vulnerability/2020
0630 held
Other years
‹ The year before
Climate Vulnerability (ND-GAIN), 2019190 countries
The year after ›
Climate Vulnerability (ND-GAIN), 2021190 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), 2020: questions and answers
Which country has the highest climate vulnerability in Climate Vulnerability (ND-GAIN), 2020?
Somalia, at 0.64039, of the 190 countries in the file.
What year does Climate Vulnerability (ND-GAIN), 2020 describe?
2020.
How many countries does Climate Vulnerability (ND-GAIN), 2020 cover?
190.
Where can I download Climate Vulnerability (ND-GAIN), 2020?
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), 2020 the newest?
No. The newest held here is Climate Vulnerability (ND-GAIN), 2024.