Data for 2017
Climate Vulnerability (ND-GAIN), 2017
2017, as ND-GAIN’s 2026 release gives it · stored as published, never rewritten
Climate Vulnerability (ND-GAIN), 2017 covers 190 countries. Chad is highest, at 0.64600; Norway is lowest, at 0.26576. The middle country reads 0.45053. Against 2016, 190 values changed (76 up, 114 down), the same countries are covered.
Climate Vulnerability (ND-GAIN) · Data for 2017
HighestChad
0.64600LowestNorway
0.26576Shaded 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), 2017, 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 | 0.26576 |
| 2 | GBRNorthern Europe | 0.27754 |
| 3 | NZLAustralia and New Zealand | 0.29471 |
| =4 | CANNorthern America | 0.29683 |
| =4 | CZEEastern Europe | 0.29733 |
| 6 | CHEWestern Europe | 0.30376 |
| 7 | DEUWestern Europe | 0.30588 |
| 8 | FINNorthern Europe | 0.30967 |
| 9 | RUSEastern Europe | 0.31259 |
| 10 | POLEastern Europe | 0.31473 |
| =11 | IRLNorthern Europe | 0.31574 |
| =11 | USANorthern America | 0.31565 |
| 13 | ISLNorthern Europe | 0.31813 |
| =14 | AUSAustralia and New Zealand | 0.32076 |
| =14 | ESPSouthern Europe | 0.32149 |
| =14 | SWENorthern Europe | 0.32143 |
| 17 | FRAWestern Europe | 0.32454 |
| 18 | AUTWestern Europe | 0.32625 |
| 19 | DNKNorthern Europe | 0.33323 |
| 20 | LUXWestern Europe | 0.33490 |
| 21 | LCACaribbean | 0.33735 |
| 22 | SVNSouthern Europe | 0.34673 |
| 23 | CYPWestern Asia | 0.35040 |
| 24 | KAZCentral Asia | 0.35274 |
| 25 | ANDSouthern Europe | 0.35378 |
| 26 | JPNEastern Asia | 0.35646 |
| =27 | GRCSouthern Europe | 0.35780 |
| =27 | KGZCentral Asia | 0.35814 |
| 29 | PRTSouthern Europe | 0.35968 |
| =30 | ITASouthern Europe | 0.36115 |
| =30 | NLDWestern Europe | 0.36109 |
| 32 | ESTNorthern Europe | 0.36185 |
| 33 | KOREastern Asia | 0.36414 |
| 34 | CHLSouth America | 0.36516 |
| =35 | BRASouth America | 0.36675 |
| =35 | ISRWestern Asia | 0.36714 |
| =35 | MLTSouthern Europe | 0.36695 |
| =35 | SVKEastern Europe | 0.36711 |
| 39 | TJKCentral Asia | 0.37067 |
| 40 | BGREastern Europe | 0.37730 |
| 41 | BELWestern Europe | 0.37952 |
| 42 | LTUNorthern Europe | 0.38149 |
| 43 | BIHSouthern Europe | 0.38440 |
| 44 | SGPSouth-eastern Asia | 0.38530 |
| 45 | MYSSouth-eastern Asia | 0.38688 |
| 46 | VENSouth America | 0.38798 |
| 47 | HUNEastern Europe | 0.38859 |
| =48 | BLREastern Europe | 0.39035 |
| =48 | UKREastern Europe | 0.39028 |
| =48 | UZBCentral Asia | 0.39036 |
| 51 | LVANorthern Europe | 0.39175 |
| =52 | CRICentral America | 0.39251 |
| =52 | HRVSouthern Europe | 0.39294 |
| =52 | PRYSouth America | 0.39279 |
| =55 | TTOCaribbean | 0.39575 |
| =55 | URYSouth America | 0.39556 |
| 57 | ARMWestern Asia | 0.39714 |
| =58 | CHNEastern Asia | 0.39823 |
| =58 | ROUEastern Europe | 0.39756 |
| =60 | MEXCentral America | 0.40276 |
| =60 | TURWestern Asia | 0.40262 |
| 62 | MKDSouthern Europe | 0.40820 |
| 63 | ARGSouth America | 0.40979 |
| 64 | MCOWestern Europe | 0.41196 |
| 65 | VCTCaribbean | 0.41531 |
| 66 | PANCentral America | 0.41634 |
| 67 | MNGEastern Asia | 0.41999 |
| 68 | COLSouth America | 0.42076 |
| =69 | GRDCaribbean | 0.42238 |
| =69 | QATWestern Asia | 0.42166 |
| 71 | NICCentral America | 0.42303 |
| 72 | IRNSouthern Asia | 0.42420 |
| =73 | BRNSouth-eastern Asia | 0.42554 |
| =73 | GEOWestern Asia | 0.42551 |
| 75 | SYCEastern Africa | 0.42794 |
| 76 | PERSouth America | 0.42960 |
| =77 | BRBCaribbean | 0.43106 |
| =77 | MNESouthern Europe | 0.43140 |
| =79 | AZEWestern Asia | 0.43245 |
| =79 | TUNNorthern Africa | 0.43228 |
| 81 | DMACaribbean | 0.43301 |
| 82 | AREWestern Asia | 0.43648 |
| =83 | JAMCaribbean | 0.43734 |
| =83 | JORWestern Asia | 0.43737 |
| =83 | SURSouth America | 0.43748 |
| 86 | KWTWestern Asia | 0.43815 |
| 87 | IDNSouth-eastern Asia | 0.44216 |
| 88 | TKMCentral Asia | 0.44389 |
| =89 | BHSCaribbean | 0.44474 |
| =89 | ZAFSouthern Africa | 0.44523 |
| 91 | SLVCentral America | 0.44640 |
| 92 | THASouth-eastern Asia | 0.44825 |
| 93 | GABMiddle Africa | 0.44895 |
| =94 | DZANorthern Africa | 0.45002 |
| =94 | MDAEastern Europe | 0.44978 |
| 96 | BOLSouth America | 0.45104 |
| 97 | CUBCaribbean | 0.45189 |
| 98 | SRBSouthern Europe | 0.45262 |
| =99 | GNQMiddle Africa | 0.45352 |
| =99 | MUSEastern Africa | 0.45397 |
| 101 | ALBSouthern Europe | 0.45482 |
| 102 | GTMCentral America | 0.45752 |
| =103 | PHLSouth-eastern Asia | 0.45949 |
| =103 | SAUWestern Asia | 0.45861 |
| =105 | ECUSouth America | 0.46006 |
| =105 | LKASouthern Asia | 0.45995 |
| 107 | LBNWestern Asia | 0.46222 |
| =108 | CPVWestern Africa | 0.46703 |
| =108 | DOMCaribbean | 0.46690 |
| =108 | OMNWestern Asia | 0.46660 |
| 111 | KHMSouth-eastern Asia | 0.47062 |
| 112 | HNDCentral America | 0.47151 |
| 113 | MARNorthern Africa | 0.47368 |
| 114 | CMRMiddle Africa | 0.47480 |
| 115 | KNACaribbean | 0.47569 |
| =116 | EGYNorthern Africa | 0.48029 |
| =116 | GINWestern Africa | 0.47981 |
| 118 | PLWMicronesia | 0.48076 |
| 119 | BLZCentral America | 0.48235 |
| 120 | ATGCaribbean | 0.48403 |
| 121 | FJIMelanesia | 0.48588 |
| 122 | CIVWestern Africa | 0.48829 |
| 123 | BWASouthern Africa | 0.48865 |
| 124 | INDSouthern Asia | 0.49123 |
| =125 | NGAWestern Africa | 0.49171 |
| =125 | VNMSouth-eastern Asia | 0.49160 |
| =127 | GHAWestern Africa | 0.49258 |
| =127 | LAOSouth-eastern Asia | 0.49344 |
| 129 | SWZSouthern Africa | 0.49583 |
| =130 | BHRWestern Asia | 0.49846 |
| =130 | COMEastern Africa | 0.49785 |
| =132 | IRQWestern Asia | 0.49924 |
| =132 | LBYNorthern Africa | 0.49949 |
| 134 | KENEastern Africa | 0.49988 |
| 135 | MOZEastern Africa | 0.50191 |
| 136 | MMRSouth-eastern Asia | 0.50287 |
| 137 | ZMBEastern Africa | 0.50398 |
| 138 | BFAWestern Africa | 0.50843 |
| 139 | PRKEastern Asia | 0.50945 |
| =140 | GUYSouth America | 0.50979 |
| =140 | TZAEastern Africa | 0.50975 |
| 142 | NAMSouthern Africa | 0.51247 |
| 143 | LSOSouthern Africa | 0.51276 |
| 144 | ZWEEastern Africa | 0.51422 |
| 145 | MHLMicronesia | 0.51452 |
| =146 | SYRWestern Asia | 0.51704 |
| =146 | TGOWestern Africa | 0.51709 |
| 148 | WSMPolynesia | 0.52385 |
| =149 | NRUMicronesia | 0.52508 |
| =149 | NPLSouthern Asia | 0.52548 |
| 151 | STPMiddle Africa | 0.52583 |
| 152 | AGOMiddle Africa | 0.52792 |
| 153 | COGMiddle Africa | 0.53012 |
| 154 | PAKSouthern Asia | 0.53406 |
| 155 | SENWestern Africa | 0.53525 |
| =156 | ETHEastern Africa | 0.53673 |
| =156 | MDVSouthern Asia | 0.53737 |
| =158 | HTICaribbean | 0.54192 |
| =158 | UGAEastern Africa | 0.54164 |
| 160 | BTNSouthern Asia | 0.54563 |
| =161 | BGDSouthern Asia | 0.54932 |
| =161 | PNGMelanesia | 0.54915 |
| 163 | MDGEastern Africa | 0.55223 |
| 164 | TLSSouth-eastern Asia | 0.56499 |
| =165 | GMBWestern Africa | 0.56590 |
| =165 | KIRMicronesia | 0.56584 |
| 167 | TUVPolynesia | 0.56865 |
| 168 | VUTMelanesia | 0.57071 |
| 169 | CODMiddle Africa | 0.57690 |
| 170 | MWIEastern Africa | 0.57887 |
| 171 | NERWestern Africa | 0.59028 |
| 172 | CAFMiddle Africa | 0.59518 |
| 173 | LBRWestern Africa | 0.60007 |
| 174 | BENWestern Africa | 0.60076 |
| =175 | DJIEastern Africa | 0.60328 |
| =175 | MLIWestern Africa | 0.60349 |
| 177 | YEMWestern Asia | 0.60657 |
| 178 | TONPolynesia | 0.60802 |
| 179 | SLEWestern Africa | 0.60972 |
| 180 | SLBMelanesia | 0.61178 |
| 181 | BDIEastern Africa | 0.61357 |
| 182 | RWAEastern Africa | 0.61582 |
| =183 | AFGSouthern Asia | 0.62405 |
| =183 | FSMMicronesia | 0.62359 |
| 185 | SDNNorthern Africa | 0.62739 |
| 186 | GNBWestern Africa | 0.62977 |
| 187 | ERIEastern Africa | 0.63398 |
| 188 | MRTWestern Africa | 0.63550 |
| 189 | SOMEastern Africa | 0.64235 |
| 190 | TCDMiddle Africa | 0.64600 |
02In 2017
At either end
The 5 countries at each end of the headline.
Highest
- #190
Chad0.64600
- #189
Somalia0.64235
- #188
Mauritania0.63550
- #187
Eritrea0.63398
- #186
Guinea-Bissau0.62977
Lowest
- #1
Norway0.26576
- #2
United Kingdom0.27754
- #3
New Zealand0.29471
- #4
Canada0.29683
- #4
Czechia0.29733
A higher value is the worse result. The middle country reads 0.45053. “Shared” marks a value another country also holds.
032016 → 2017
Since 2016
What changed between 2016 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
Nauru0.49400 → 0.52508+0.03108
Trinidad and Tobago0.38479 → 0.39575+0.01095
Kenya0.49137 → 0.49988+0.00851
Eritrea0.62568 → 0.63398+0.00830
Republic of the Congo0.52262 → 0.53012+0.00750
Fell most
Tajikistan0.39165 → 0.37067−0.02098
Guinea0.49856 → 0.47981−0.01875
Namibia0.52850 → 0.51247−0.01603
Ecuador0.47501 → 0.46006−0.01495
Burkina Faso0.52237 → 0.50843−0.01394
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 2017.
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-2017-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 (2017). Climate Vulnerability (ND-GAIN), 2017 [data set], describing 2017. As held by Nations Inquiry, https://nationsinquiry.com/datasets/climate-vulnerability/2017
0630 held
Other years
‹ The year before
Climate Vulnerability (ND-GAIN), 2016190 countries
The year after ›
Climate Vulnerability (ND-GAIN), 2018190 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), 2017: questions and answers
Which country has the highest climate vulnerability in Climate Vulnerability (ND-GAIN), 2017?
Chad, at 0.64600, of the 190 countries in the file.
What year does Climate Vulnerability (ND-GAIN), 2017 describe?
2017.
How many countries does Climate Vulnerability (ND-GAIN), 2017 cover?
190.
Where can I download Climate Vulnerability (ND-GAIN), 2017?
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), 2017 the newest?
No. The newest held here is Climate Vulnerability (ND-GAIN), 2024.