Data for 2018
Climate Vulnerability (ND-GAIN), 2018
2018, as ND-GAIN’s 2026 release gives it · stored as published, never rewritten
Climate Vulnerability (ND-GAIN), 2018 covers 190 countries. Chad is highest, at 0.643828; Norway is lowest, at 0.266470. The middle country reads 0.449652. Against 2017, 190 values changed (53 up, 137 down), the same countries are covered.
Climate Vulnerability (ND-GAIN) · Data for 2018
HighestChad
0.643828LowestNorway
0.266470Shaded 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), 2018, 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 | 0.266470 |
| 2 | GBRNorthern Europe | 0.277874 |
| =3 | CANNorthern America | 0.295491 |
| =3 | NZLAustralia and New Zealand | 0.294520 |
| 5 | CZEEastern Europe | 0.296711 |
| 6 | CHEWestern Europe | 0.299890 |
| 7 | DEUWestern Europe | 0.305396 |
| 8 | AUSAustralia and New Zealand | 0.307421 |
| 9 | FINNorthern Europe | 0.309533 |
| 10 | RUSEastern Europe | 0.311284 |
| 11 | POLEastern Europe | 0.314507 |
| 12 | ISLNorthern Europe | 0.317200 |
| =13 | IRLNorthern Europe | 0.319251 |
| =13 | USANorthern America | 0.319118 |
| 15 | ESPSouthern Europe | 0.320539 |
| =16 | FRAWestern Europe | 0.321576 |
| =16 | SWENorthern Europe | 0.322257 |
| 18 | AUTWestern Europe | 0.325376 |
| 19 | LCACaribbean | 0.335542 |
| 20 | DNKNorthern Europe | 0.337059 |
| 21 | LUXWestern Europe | 0.339326 |
| 22 | SVNSouthern Europe | 0.346011 |
| 23 | KGZCentral Asia | 0.348109 |
| 24 | CYPWestern Asia | 0.350940 |
| 25 | ANDSouthern Europe | 0.352272 |
| 26 | BGREastern Europe | 0.354120 |
| =27 | JPNEastern Asia | 0.354833 |
| =27 | KAZCentral Asia | 0.354502 |
| 29 | TJKCentral Asia | 0.355899 |
| =30 | GRCSouthern Europe | 0.357560 |
| =30 | PRTSouthern Europe | 0.357601 |
| =32 | CHLSouth America | 0.359529 |
| =32 | ITASouthern Europe | 0.360442 |
| 34 | ESTNorthern Europe | 0.360591 |
| 35 | KOREastern Asia | 0.364234 |
| =36 | ISRWestern Asia | 0.364995 |
| =36 | NLDWestern Europe | 0.364585 |
| 38 | BRASouth America | 0.365904 |
| 39 | MLTSouthern Europe | 0.366526 |
| 40 | SVKEastern Europe | 0.367824 |
| 41 | BIHSouthern Europe | 0.379901 |
| 42 | BELWestern Europe | 0.382258 |
| 43 | LTUNorthern Europe | 0.385212 |
| 44 | SGPSouth-eastern Asia | 0.385881 |
| 45 | MYSSouth-eastern Asia | 0.386664 |
| =46 | BLREastern Europe | 0.388116 |
| =46 | HUNEastern Europe | 0.388152 |
| =48 | UZBCentral Asia | 0.389111 |
| =48 | VENSouth America | 0.388635 |
| 50 | PRYSouth America | 0.390221 |
| 51 | CRICentral America | 0.391280 |
| =52 | BRBCaribbean | 0.392248 |
| =52 | LVANorthern Europe | 0.392288 |
| =52 | TTOCaribbean | 0.392159 |
| =55 | HRVSouthern Europe | 0.392563 |
| =55 | UKREastern Europe | 0.392675 |
| =57 | CHNEastern Asia | 0.397430 |
| =57 | ROUEastern Europe | 0.396626 |
| 59 | URYSouth America | 0.397883 |
| 60 | TURWestern Asia | 0.401856 |
| 61 | MEXCentral America | 0.402585 |
| 62 | ARMWestern Asia | 0.405012 |
| 63 | ARGSouth America | 0.409693 |
| 64 | VCTCaribbean | 0.410698 |
| =65 | MCOWestern Europe | 0.411923 |
| =65 | MKDSouthern Europe | 0.412262 |
| 67 | MNGEastern Asia | 0.414977 |
| 68 | GRDCaribbean | 0.416210 |
| 69 | PANCentral America | 0.417139 |
| 70 | COLSouth America | 0.418901 |
| =71 | GEOWestern Asia | 0.421369 |
| =71 | NICCentral America | 0.420686 |
| =71 | QATWestern Asia | 0.420609 |
| 74 | BRNSouth-eastern Asia | 0.423746 |
| =75 | IRNSouthern Asia | 0.426468 |
| =75 | MNESouthern Europe | 0.425528 |
| 77 | PERSouth America | 0.428883 |
| =78 | AZEWestern Asia | 0.429907 |
| =78 | DMACaribbean | 0.429655 |
| 80 | SYCEastern Africa | 0.433400 |
| =81 | JORWestern Asia | 0.434072 |
| =81 | SURSouth America | 0.433780 |
| =83 | JAMCaribbean | 0.434974 |
| =83 | TUNNorthern Africa | 0.435424 |
| 85 | AREWestern Asia | 0.436096 |
| =86 | IDNSouth-eastern Asia | 0.438170 |
| =86 | KWTWestern Asia | 0.438117 |
| 88 | TKMCentral Asia | 0.444622 |
| =89 | ALBSouthern Europe | 0.445777 |
| =89 | BHSCaribbean | 0.445631 |
| =89 | SLVCentral America | 0.446392 |
| =89 | ZAFSouthern Africa | 0.446473 |
| =93 | BOLSouth America | 0.449399 |
| =93 | MDAEastern Europe | 0.448894 |
| =95 | GABMiddle Africa | 0.449636 |
| =95 | LKASouthern Asia | 0.449668 |
| =95 | THASouth-eastern Asia | 0.450400 |
| =98 | CUBCaribbean | 0.451103 |
| =98 | MUSEastern Africa | 0.450966 |
| =98 | SAUWestern Asia | 0.450799 |
| =101 | DZANorthern Africa | 0.451836 |
| =101 | GNQMiddle Africa | 0.452380 |
| 103 | PHLSouth-eastern Asia | 0.453577 |
| 104 | GTMCentral America | 0.454549 |
| 105 | ECUSouth America | 0.456773 |
| 106 | MARNorthern Africa | 0.458015 |
| 107 | LBNWestern Asia | 0.462124 |
| 108 | HNDCentral America | 0.464133 |
| =109 | CPVWestern Africa | 0.466685 |
| =109 | DOMCaribbean | 0.467260 |
| 111 | OMNWestern Asia | 0.468504 |
| 112 | KHMSouth-eastern Asia | 0.470501 |
| =113 | BWASouthern Africa | 0.474747 |
| =113 | EGYNorthern Africa | 0.474657 |
| =113 | KNACaribbean | 0.475426 |
| 116 | SRBSouthern Europe | 0.475594 |
| 117 | PLWMicronesia | 0.477048 |
| 118 | CMRMiddle Africa | 0.478104 |
| 119 | GINWestern Africa | 0.479016 |
| 120 | BLZCentral America | 0.481276 |
| =121 | GHAWestern Africa | 0.483983 |
| =121 | INDSouthern Asia | 0.484031 |
| =123 | LAOSouth-eastern Asia | 0.485399 |
| =123 | NGAWestern Africa | 0.485235 |
| 125 | ATGCaribbean | 0.486469 |
| 126 | CIVWestern Africa | 0.487161 |
| 127 | VNMSouth-eastern Asia | 0.487603 |
| 128 | FJIMelanesia | 0.489506 |
| 129 | COMEastern Africa | 0.491375 |
| 130 | IRQWestern Asia | 0.492828 |
| 131 | NRUMicronesia | 0.495420 |
| 132 | LBYNorthern Africa | 0.496412 |
| 133 | SWZSouthern Africa | 0.497972 |
| =134 | BHRWestern Asia | 0.498980 |
| =134 | KENEastern Africa | 0.498614 |
| =134 | MOZEastern Africa | 0.498679 |
| =137 | BFAWestern Africa | 0.503978 |
| =137 | ZMBEastern Africa | 0.503567 |
| 139 | TZAEastern Africa | 0.504781 |
| 140 | PRKEastern Asia | 0.506217 |
| 141 | GUYSouth America | 0.507599 |
| =142 | MMRSouth-eastern Asia | 0.510273 |
| =142 | NPLSouthern Asia | 0.509812 |
| =142 | TGOWestern Africa | 0.510406 |
| =142 | ZWEEastern Africa | 0.510412 |
| 146 | LSOSouthern Africa | 0.510635 |
| 147 | MHLMicronesia | 0.511756 |
| 148 | WSMPolynesia | 0.513764 |
| 149 | SYRWestern Asia | 0.517169 |
| 150 | STPMiddle Africa | 0.525881 |
| 151 | ETHEastern Africa | 0.527352 |
| 152 | NAMSouthern Africa | 0.528483 |
| =153 | MDVSouthern Asia | 0.529130 |
| =153 | COGMiddle Africa | 0.528843 |
| 155 | AGOMiddle Africa | 0.530669 |
| 156 | PAKSouthern Asia | 0.533974 |
| =157 | SENWestern Africa | 0.534612 |
| =157 | UGAEastern Africa | 0.534997 |
| 159 | BTNSouthern Asia | 0.536714 |
| 160 | HTICaribbean | 0.539921 |
| 161 | BGDSouthern Asia | 0.545789 |
| 162 | MDGEastern Africa | 0.550582 |
| 163 | PNGMelanesia | 0.557058 |
| 164 | TUVPolynesia | 0.559794 |
| 165 | GMBWestern Africa | 0.565047 |
| 166 | TLSSouth-eastern Asia | 0.569825 |
| 167 | VUTMelanesia | 0.571745 |
| =168 | CODMiddle Africa | 0.573897 |
| =168 | KIRMicronesia | 0.573727 |
| 170 | MWIEastern Africa | 0.575657 |
| =171 | DJIEastern Africa | 0.590651 |
| =171 | LBRWestern Africa | 0.591031 |
| 173 | NERWestern Africa | 0.592041 |
| 174 | BENWestern Africa | 0.594879 |
| 175 | CAFMiddle Africa | 0.596377 |
| 176 | SLBMelanesia | 0.599001 |
| 177 | MLIWestern Africa | 0.600425 |
| 178 | TONPolynesia | 0.605103 |
| 179 | SLEWestern Africa | 0.607893 |
| 180 | YEMWestern Asia | 0.609768 |
| 181 | BDIEastern Africa | 0.610869 |
| 182 | FSMMicronesia | 0.611799 |
| 183 | RWAEastern Africa | 0.613014 |
| 184 | AFGSouthern Asia | 0.621220 |
| 185 | GNBWestern Africa | 0.629255 |
| 186 | MRTWestern Africa | 0.630761 |
| 187 | SDNNorthern Africa | 0.633648 |
| 188 | ERIEastern Africa | 0.635395 |
| 189 | SOMEastern Africa | 0.641195 |
| 190 | TCDMiddle Africa | 0.643828 |
02In 2018
At either end
The 5 countries at each end of the headline.
Highest
- #190
Chad0.643828
- #189
Somalia0.641195
- #188
Eritrea0.635395
- #187
Sudan0.633648
- #186
Mauritania0.630761
Lowest
- #1
Norway0.266470
- #2
United Kingdom0.277874
- #3
New Zealand0.294520
- #3
Canada0.295491
- #5
Czechia0.296711
A higher value is the worse result. The middle country reads 0.449652. “Shared” marks a value another country also holds.
032017 → 2018
Since 2017
What changed between 2017 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 190values changed, of 190 in both
- 53 · 137rose · fell
- 0unchanged
Rose most
Serbia0.452623 → 0.475594+0.022971
Namibia0.512473 → 0.528483+0.016010
Papua New Guinea0.549146 → 0.557058+0.007912
Kiribati0.565838 → 0.573727+0.007889
Armenia0.397144 → 0.405012+0.007868
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 2018.
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-2018-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 (2018). Climate Vulnerability (ND-GAIN), 2018 [data set], describing 2018. As held by Nations Inquiry, https://nationsinquiry.com/datasets/climate-vulnerability/2018
0630 held
Other years
‹ The year before
Climate Vulnerability (ND-GAIN), 2017190 countries
The year after ›
Climate Vulnerability (ND-GAIN), 2019190 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), 2018: questions and answers
Which country has the highest climate vulnerability in Climate Vulnerability (ND-GAIN), 2018?
Chad, at 0.643828, of the 190 countries in the file.
What year does Climate Vulnerability (ND-GAIN), 2018 describe?
2018.
How many countries does Climate Vulnerability (ND-GAIN), 2018 cover?
190.
Where can I download Climate Vulnerability (ND-GAIN), 2018?
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), 2018 the newest?
No. The newest held here is Climate Vulnerability (ND-GAIN), 2024.