Data for 2019
Climate Vulnerability (ND-GAIN), 2019
2019, as ND-GAIN’s 2026 release gives it · stored as published, never rewritten
Climate Vulnerability (ND-GAIN), 2019 covers 190 countries. Chad is highest, at 0.644248; Norway is lowest, at 0.266177. The middle country reads 0.447883. Against 2018, 190 values changed (68 up, 122 down), the same countries are covered.
Climate Vulnerability (ND-GAIN) · Data for 2019
HighestChad
0.644248LowestNorway
0.266177Shaded 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), 2019, 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 | 0.266177 |
| 2 | GBRNorthern Europe | 0.277374 |
| 3 | CANNorthern America | 0.285850 |
| 4 | NZLAustralia and New Zealand | 0.295027 |
| 5 | CZEEastern Europe | 0.299304 |
| 6 | CHEWestern Europe | 0.299521 |
| 7 | AUSAustralia and New Zealand | 0.304319 |
| 8 | DEUWestern Europe | 0.305883 |
| 9 | FINNorthern Europe | 0.308502 |
| 10 | RUSEastern Europe | 0.311115 |
| 11 | POLEastern Europe | 0.313313 |
| 12 | IRLNorthern Europe | 0.315216 |
| 13 | ISLNorthern Europe | 0.315637 |
| 14 | USANorthern America | 0.316590 |
| 15 | ESPSouthern Europe | 0.320965 |
| =16 | FRAWestern Europe | 0.322807 |
| =16 | SWENorthern Europe | 0.322936 |
| 18 | AUTWestern Europe | 0.325827 |
| 19 | LCACaribbean | 0.336337 |
| 20 | LUXWestern Europe | 0.338411 |
| 21 | DNKNorthern Europe | 0.342412 |
| 22 | KGZCentral Asia | 0.343291 |
| 23 | SVNSouthern Europe | 0.345816 |
| 24 | CHLSouth America | 0.348349 |
| 25 | CYPWestern Asia | 0.351354 |
| 26 | ANDSouthern Europe | 0.352558 |
| =27 | BGREastern Europe | 0.353765 |
| =27 | TJKCentral Asia | 0.353754 |
| =29 | JPNEastern Asia | 0.355209 |
| =29 | KAZCentral Asia | 0.355479 |
| 31 | PRTSouthern Europe | 0.355674 |
| 32 | GRCSouthern Europe | 0.358135 |
| 33 | ESTNorthern Europe | 0.358991 |
| =34 | ITASouthern Europe | 0.360945 |
| =34 | KOREastern Asia | 0.360744 |
| 36 | BLREastern Europe | 0.362828 |
| 37 | MLTSouthern Europe | 0.363832 |
| =38 | ISRWestern Asia | 0.367803 |
| =38 | NLDWestern Europe | 0.367598 |
| =40 | BRASouth America | 0.370678 |
| =40 | SVKEastern Europe | 0.370996 |
| =42 | BELWestern Europe | 0.379182 |
| =42 | MYSSouth-eastern Asia | 0.379276 |
| 44 | BIHSouthern Europe | 0.380889 |
| 45 | LTUNorthern Europe | 0.384543 |
| 46 | SGPSouth-eastern Asia | 0.386355 |
| 47 | VENSouth America | 0.388383 |
| 48 | UZBCentral Asia | 0.389067 |
| =49 | HUNEastern Europe | 0.390463 |
| =49 | PRYSouth America | 0.389651 |
| =49 | TTOCaribbean | 0.389804 |
| 52 | CRICentral America | 0.390584 |
| =53 | BRBCaribbean | 0.391610 |
| =53 | LVANorthern Europe | 0.392352 |
| =53 | UKREastern Europe | 0.392477 |
| 56 | HRVSouthern Europe | 0.394101 |
| 57 | URYSouth America | 0.395747 |
| 58 | CHNEastern Asia | 0.396723 |
| 59 | ROUEastern Europe | 0.398416 |
| 60 | TURWestern Asia | 0.400906 |
| 61 | MEXCentral America | 0.403094 |
| 62 | MNGEastern Asia | 0.403738 |
| 63 | ARMWestern Asia | 0.405895 |
| =64 | ARGSouth America | 0.407502 |
| =64 | COLSouth America | 0.407828 |
| =64 | MCOWestern Europe | 0.408033 |
| 67 | MKDSouthern Europe | 0.409479 |
| 68 | VCTCaribbean | 0.413978 |
| =69 | GRDCaribbean | 0.416801 |
| =69 | PANCentral America | 0.417195 |
| 71 | QATWestern Asia | 0.420336 |
| 72 | NICCentral America | 0.421821 |
| 73 | BRNSouth-eastern Asia | 0.424053 |
| =74 | MNESouthern Europe | 0.425207 |
| =74 | PERSouth America | 0.425251 |
| 76 | DMACaribbean | 0.426950 |
| 77 | IRNSouthern Asia | 0.428399 |
| 78 | AZEWestern Asia | 0.428854 |
| =79 | JORWestern Asia | 0.433289 |
| =79 | SYCEastern Africa | 0.433091 |
| 81 | JAMCaribbean | 0.433707 |
| =82 | IDNSouth-eastern Asia | 0.435134 |
| =82 | AREWestern Asia | 0.435162 |
| =84 | SURSouth America | 0.436569 |
| =84 | TUNNorthern Africa | 0.436592 |
| =86 | ALBSouthern Europe | 0.439419 |
| =86 | KWTWestern Asia | 0.438826 |
| =86 | LKASouthern Asia | 0.438629 |
| =89 | BHSCaribbean | 0.444356 |
| =89 | TKMCentral Asia | 0.444361 |
| =91 | GEOWestern Asia | 0.445342 |
| =91 | PHLSouth-eastern Asia | 0.444600 |
| =91 | ZAFSouthern Africa | 0.445456 |
| 94 | MUSEastern Africa | 0.446846 |
| =95 | BOLSouth America | 0.447555 |
| =95 | GABMiddle Africa | 0.448211 |
| 97 | SLVCentral America | 0.449069 |
| =98 | SAUWestern Asia | 0.449527 |
| =98 | THASouth-eastern Asia | 0.449856 |
| =100 | LBNWestern Asia | 0.451415 |
| =100 | MDAEastern Europe | 0.450865 |
| =102 | CUBCaribbean | 0.452076 |
| =102 | GNQMiddle Africa | 0.451863 |
| 104 | MARNorthern Africa | 0.453362 |
| =105 | DZANorthern Africa | 0.454772 |
| =105 | ECUSouth America | 0.454658 |
| =107 | CPVWestern Africa | 0.463118 |
| =107 | GTMCentral America | 0.462769 |
| 109 | HNDCentral America | 0.464087 |
| =110 | DOMCaribbean | 0.468206 |
| =110 | GHAWestern Africa | 0.467765 |
| 112 | OMNWestern Asia | 0.470255 |
| =113 | KHMSouth-eastern Asia | 0.470639 |
| =113 | EGYNorthern Africa | 0.471454 |
| 115 | SRBSouthern Europe | 0.475071 |
| =116 | PLWMicronesia | 0.476179 |
| =116 | KNACaribbean | 0.475646 |
| =118 | BWASouthern Africa | 0.476660 |
| =118 | CMRMiddle Africa | 0.476812 |
| 120 | GINWestern Africa | 0.477969 |
| 121 | ATGCaribbean | 0.479871 |
| 122 | INDSouthern Asia | 0.481304 |
| =123 | BLZCentral America | 0.488189 |
| =123 | CIVWestern Africa | 0.488083 |
| =123 | FJIMelanesia | 0.487575 |
| =123 | LAOSouth-eastern Asia | 0.488215 |
| 127 | NGAWestern Africa | 0.488535 |
| 128 | NRUMicronesia | 0.490444 |
| 129 | VNMSouth-eastern Asia | 0.491056 |
| 130 | KENEastern Africa | 0.492147 |
| 131 | SWZSouthern Africa | 0.492735 |
| =132 | COMEastern Africa | 0.494003 |
| =132 | LBYNorthern Africa | 0.494450 |
| =134 | BHRWestern Asia | 0.497382 |
| =134 | IRQWestern Asia | 0.497249 |
| =134 | NPLSouthern Asia | 0.497167 |
| =137 | MOZEastern Africa | 0.498057 |
| =137 | ZMBEastern Africa | 0.498313 |
| 139 | ZWEEastern Africa | 0.501343 |
| =140 | BFAWestern Africa | 0.502451 |
| =140 | TZAEastern Africa | 0.502158 |
| 142 | GUYSouth America | 0.503517 |
| 143 | TGOWestern Africa | 0.507401 |
| 144 | LSOSouthern Africa | 0.508970 |
| 145 | MHLMicronesia | 0.510718 |
| =146 | MMRSouth-eastern Asia | 0.512429 |
| =146 | PRKEastern Asia | 0.511696 |
| 148 | WSMPolynesia | 0.512566 |
| 149 | SYRWestern Asia | 0.513659 |
| 150 | ETHEastern Africa | 0.515073 |
| 151 | PAKSouthern Asia | 0.523305 |
| 152 | STPMiddle Africa | 0.523800 |
| 153 | NAMSouthern Africa | 0.524789 |
| 154 | KIRMicronesia | 0.527883 |
| =155 | AGOMiddle Africa | 0.530218 |
| =155 | SENWestern Africa | 0.530353 |
| 157 | UGAEastern Africa | 0.531883 |
| 158 | COGMiddle Africa | 0.534340 |
| =159 | BTNSouthern Asia | 0.536520 |
| =159 | MDVSouthern Asia | 0.536867 |
| 161 | HTICaribbean | 0.539046 |
| 162 | BGDSouthern Asia | 0.544363 |
| 163 | MDGEastern Africa | 0.553455 |
| 164 | GMBWestern Africa | 0.557673 |
| 165 | PNGMelanesia | 0.562427 |
| =166 | TUVPolynesia | 0.564785 |
| =166 | VUTMelanesia | 0.565471 |
| 168 | TLSSouth-eastern Asia | 0.568723 |
| 169 | CODMiddle Africa | 0.573241 |
| 170 | MWIEastern Africa | 0.577734 |
| 171 | LBRWestern Africa | 0.578505 |
| 172 | NERWestern Africa | 0.582382 |
| =173 | BENWestern Africa | 0.588947 |
| =173 | CAFMiddle Africa | 0.589418 |
| =173 | DJIEastern Africa | 0.588587 |
| 176 | MLIWestern Africa | 0.590025 |
| 177 | TONPolynesia | 0.602934 |
| 178 | SLEWestern Africa | 0.606532 |
| =179 | BDIEastern Africa | 0.610153 |
| =179 | RWAEastern Africa | 0.609892 |
| 181 | YEMWestern Asia | 0.610754 |
| 182 | FSMMicronesia | 0.612215 |
| 183 | AFGSouthern Asia | 0.616650 |
| 184 | SDNNorthern Africa | 0.622861 |
| 185 | GNBWestern Africa | 0.624530 |
| 186 | SLBMelanesia | 0.626632 |
| 187 | MRTWestern Africa | 0.631046 |
| 188 | ERIEastern Africa | 0.634287 |
| 189 | SOMEastern Africa | 0.641252 |
| 190 | TCDMiddle Africa | 0.644248 |
02In 2019
At either end
The 5 countries at each end of the headline.
Highest
- #190
Chad0.644248
- #189
Somalia0.641252
- #188
Eritrea0.634287
- #187
Mauritania0.631046
- #186
Solomon Islands0.626632
Lowest
- #1
Norway0.266177
- #2
United Kingdom0.277374
- #3
Canada0.285850
- #4
New Zealand0.295027
- #5
Czechia0.299304
A higher value is the worse result. The middle country reads 0.447883. “Shared” marks a value another country also holds.
032018 → 2019
Since 2018
What changed between 2018 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 190values changed, of 190 in both
- 68 · 122rose · fell
- 0unchanged
Rose most
Solomon Islands0.599001 → 0.626632+0.027631
Georgia0.421369 → 0.445342+0.023972
Guatemala0.454549 → 0.462769+0.008220
Maldives0.529130 → 0.536867+0.007737
Belize0.481276 → 0.488189+0.006913
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 2019.
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-2019-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 (2019). Climate Vulnerability (ND-GAIN), 2019 [data set], describing 2019. As held by Nations Inquiry, https://nationsinquiry.com/datasets/climate-vulnerability/2019
0630 held
Other years
‹ The year before
Climate Vulnerability (ND-GAIN), 2018190 countries
The year after ›
Climate Vulnerability (ND-GAIN), 2020190 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), 2019: questions and answers
Which country has the highest climate vulnerability in Climate Vulnerability (ND-GAIN), 2019?
Chad, at 0.644248, of the 190 countries in the file.
What year does Climate Vulnerability (ND-GAIN), 2019 describe?
2019.
How many countries does Climate Vulnerability (ND-GAIN), 2019 cover?
190.
Where can I download Climate Vulnerability (ND-GAIN), 2019?
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), 2019 the newest?
No. The newest held here is Climate Vulnerability (ND-GAIN), 2024.