Data for 2016
Climate Vulnerability (ND-GAIN), 2016
2016, as ND-GAIN’s 2026 release gives it · stored as published, never rewritten
Climate Vulnerability (ND-GAIN), 2016 covers 190 countries. Chad is highest, at 0.64997; Norway is lowest, at 0.26561. The middle country reads 0.45184. Against 2015, 190 values changed (86 up, 104 down), the same countries are covered.
Climate Vulnerability (ND-GAIN) · Data for 2016
HighestChad
0.64997LowestNorway
0.26561Shaded 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), 2016, 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 | 0.26561 |
| 2 | GBRNorthern Europe | 0.27668 |
| 3 | NZLAustralia and New Zealand | 0.29688 |
| =4 | CANNorthern America | 0.29814 |
| =4 | CZEEastern Europe | 0.29759 |
| 6 | CHEWestern Europe | 0.30289 |
| 7 | DEUWestern Europe | 0.30536 |
| 8 | FINNorthern Europe | 0.31027 |
| 9 | POLEastern Europe | 0.31282 |
| 10 | RUSEastern Europe | 0.31486 |
| 11 | USANorthern America | 0.31641 |
| 12 | IRLNorthern Europe | 0.31714 |
| 13 | ISLNorthern Europe | 0.31969 |
| 14 | AUSAustralia and New Zealand | 0.32119 |
| 15 | ESPSouthern Europe | 0.32225 |
| 16 | SWENorthern Europe | 0.32315 |
| 17 | FRAWestern Europe | 0.32487 |
| 18 | AUTWestern Europe | 0.32631 |
| 19 | LUXWestern Europe | 0.33233 |
| 20 | DNKNorthern Europe | 0.33533 |
| 21 | LCACaribbean | 0.34032 |
| 22 | SVNSouthern Europe | 0.34672 |
| 23 | CYPWestern Asia | 0.34928 |
| 24 | KAZCentral Asia | 0.35179 |
| 25 | ANDSouthern Europe | 0.35484 |
| =26 | GRCSouthern Europe | 0.35799 |
| =26 | JPNEastern Asia | 0.35761 |
| 28 | NLDWestern Europe | 0.36111 |
| 29 | ITASouthern Europe | 0.36194 |
| =30 | ESTNorthern Europe | 0.36272 |
| =30 | ISRWestern Asia | 0.36270 |
| =32 | SVKEastern Europe | 0.36427 |
| =32 | KOREastern Asia | 0.36387 |
| =34 | CHLSouth America | 0.36477 |
| =34 | MLTSouthern Europe | 0.36467 |
| =36 | BRASouth America | 0.36804 |
| =36 | KGZCentral Asia | 0.36757 |
| =36 | PRTSouthern Europe | 0.36803 |
| 39 | BGREastern Europe | 0.37386 |
| 40 | BELWestern Europe | 0.37887 |
| 41 | LTUNorthern Europe | 0.38009 |
| 42 | HUNEastern Europe | 0.38230 |
| 43 | BIHSouthern Europe | 0.38412 |
| 44 | TTOCaribbean | 0.38479 |
| =45 | SGPSouth-eastern Asia | 0.38590 |
| =45 | UKREastern Europe | 0.38618 |
| 47 | VENSouth America | 0.38773 |
| 48 | MYSSouth-eastern Asia | 0.38880 |
| =49 | HRVSouthern Europe | 0.39127 |
| =49 | LVANorthern Europe | 0.39121 |
| =49 | UZBCentral Asia | 0.39135 |
| =52 | BLREastern Europe | 0.39195 |
| =52 | TJKCentral Asia | 0.39165 |
| 54 | CRICentral America | 0.39260 |
| 55 | PRYSouth America | 0.39458 |
| 56 | URYSouth America | 0.39655 |
| 57 | ROUEastern Europe | 0.39803 |
| 58 | CHNEastern Asia | 0.39878 |
| 59 | ARMWestern Asia | 0.39968 |
| =60 | MEXCentral America | 0.40212 |
| =60 | TURWestern Asia | 0.40196 |
| 62 | MKDSouthern Europe | 0.40651 |
| 63 | ARGSouth America | 0.40890 |
| =64 | MCOWestern Europe | 0.41115 |
| =64 | VCTCaribbean | 0.41150 |
| 66 | PANCentral America | 0.41630 |
| 67 | NICCentral America | 0.42145 |
| =68 | COLSouth America | 0.42239 |
| =68 | QATWestern Asia | 0.42223 |
| 70 | MNGEastern Asia | 0.42273 |
| 71 | GRDCaribbean | 0.42385 |
| 72 | IRNSouthern Asia | 0.42528 |
| 73 | BRNSouth-eastern Asia | 0.42629 |
| 74 | GEOWestern Asia | 0.42796 |
| 75 | PERSouth America | 0.42913 |
| 76 | TUNNorthern Africa | 0.43047 |
| 77 | AZEWestern Asia | 0.43181 |
| 78 | MNESouthern Europe | 0.43337 |
| 79 | DMACaribbean | 0.43395 |
| 80 | BRBCaribbean | 0.43499 |
| 81 | KWTWestern Asia | 0.43809 |
| 82 | JORWestern Asia | 0.43917 |
| 83 | JAMCaribbean | 0.44001 |
| 84 | SYCEastern Africa | 0.44061 |
| 85 | SURSouth America | 0.44209 |
| =86 | BHSCaribbean | 0.44399 |
| =86 | TKMCentral Asia | 0.44373 |
| =88 | IDNSouth-eastern Asia | 0.44543 |
| =88 | AREWestern Asia | 0.44539 |
| =90 | ZAFSouthern Africa | 0.44660 |
| =90 | THASouth-eastern Asia | 0.44704 |
| =92 | DZANorthern Africa | 0.44809 |
| =92 | MDAEastern Europe | 0.44784 |
| 94 | GABMiddle Africa | 0.44871 |
| =95 | CUBCaribbean | 0.45189 |
| =95 | SLVCentral America | 0.45180 |
| =97 | ALBSouthern Europe | 0.45308 |
| =97 | SRBSouthern Europe | 0.45267 |
| =99 | GNQMiddle Africa | 0.45533 |
| =99 | SAUWestern Asia | 0.45541 |
| 101 | MUSEastern Africa | 0.45636 |
| 102 | BOLSouth America | 0.45841 |
| 103 | PHLSouth-eastern Asia | 0.46108 |
| 104 | LBNWestern Asia | 0.46185 |
| 105 | LKASouthern Asia | 0.46314 |
| 106 | OMNWestern Asia | 0.46561 |
| =107 | DOMCaribbean | 0.46842 |
| =107 | HNDCentral America | 0.46822 |
| =109 | CPVWestern Africa | 0.47008 |
| =109 | GTMCentral America | 0.47033 |
| =111 | ECUSouth America | 0.47501 |
| =111 | KNACaribbean | 0.47516 |
| =113 | MARNorthern Africa | 0.47570 |
| =113 | PLWMicronesia | 0.47644 |
| 115 | CMRMiddle Africa | 0.47717 |
| 116 | BLZCentral America | 0.48263 |
| 117 | KHMSouth-eastern Asia | 0.48369 |
| 118 | ATGCaribbean | 0.48517 |
| 119 | BWASouthern Africa | 0.48717 |
| 120 | EGYNorthern Africa | 0.48828 |
| 121 | FJIMelanesia | 0.48953 |
| =122 | GHAWestern Africa | 0.49127 |
| =122 | KENEastern Africa | 0.49137 |
| =122 | VNMSouth-eastern Asia | 0.49132 |
| 125 | CIVWestern Africa | 0.49296 |
| 126 | NRUMicronesia | 0.49400 |
| 127 | NGAWestern Africa | 0.49476 |
| 128 | BHRWestern Asia | 0.49743 |
| =129 | COMEastern Africa | 0.49930 |
| =129 | GINWestern Africa | 0.49856 |
| =129 | IRQWestern Asia | 0.49892 |
| =132 | INDSouthern Asia | 0.50127 |
| =132 | LBYNorthern Africa | 0.50142 |
| =134 | LAOSouth-eastern Asia | 0.50207 |
| =134 | MOZEastern Africa | 0.50221 |
| 136 | ZMBEastern Africa | 0.50554 |
| 137 | SWZSouthern Africa | 0.50704 |
| =138 | GUYSouth America | 0.51066 |
| =138 | LSOSouthern Africa | 0.51142 |
| =140 | PRKEastern Asia | 0.51164 |
| =140 | TZAEastern Africa | 0.51162 |
| 142 | MMRSouth-eastern Asia | 0.51367 |
| 143 | MHLMicronesia | 0.51592 |
| 144 | ZWEEastern Africa | 0.51667 |
| 145 | TGOWestern Africa | 0.51813 |
| 146 | NPLSouthern Asia | 0.52034 |
| 147 | BFAWestern Africa | 0.52237 |
| =148 | COGMiddle Africa | 0.52262 |
| =148 | SYRWestern Asia | 0.52311 |
| 150 | AGOMiddle Africa | 0.52653 |
| 151 | NAMSouthern Africa | 0.52850 |
| 152 | STPMiddle Africa | 0.53045 |
| 153 | WSMPolynesia | 0.53170 |
| =154 | PAKSouthern Asia | 0.53340 |
| =154 | SENWestern Africa | 0.53326 |
| 156 | ETHEastern Africa | 0.53979 |
| 157 | BTNSouthern Asia | 0.54072 |
| =158 | MDVSouthern Asia | 0.54187 |
| =158 | UGAEastern Africa | 0.54226 |
| 160 | HTICaribbean | 0.54756 |
| 161 | BGDSouthern Asia | 0.55243 |
| 162 | PNGMelanesia | 0.55257 |
| 163 | MDGEastern Africa | 0.55512 |
| 164 | KIRMicronesia | 0.55979 |
| =165 | TUVPolynesia | 0.56711 |
| =165 | VUTMelanesia | 0.56661 |
| 167 | GMBWestern Africa | 0.56832 |
| 168 | TLSSouth-eastern Asia | 0.57497 |
| 169 | CODMiddle Africa | 0.58014 |
| 170 | MWIEastern Africa | 0.58429 |
| 171 | NERWestern Africa | 0.58928 |
| 172 | CAFMiddle Africa | 0.59084 |
| 173 | BENWestern Africa | 0.59931 |
| 174 | LBRWestern Africa | 0.60119 |
| 175 | MLIWestern Africa | 0.60498 |
| 176 | SLEWestern Africa | 0.60671 |
| 177 | DJIEastern Africa | 0.60816 |
| 178 | TONPolynesia | 0.60988 |
| 179 | YEMWestern Asia | 0.61146 |
| 180 | BDIEastern Africa | 0.61368 |
| 181 | RWAEastern Africa | 0.61457 |
| 182 | SLBMelanesia | 0.61785 |
| 183 | AFGSouthern Asia | 0.61892 |
| 184 | FSMMicronesia | 0.62302 |
| 185 | ERIEastern Africa | 0.62568 |
| 186 | SDNNorthern Africa | 0.62960 |
| 187 | MRTWestern Africa | 0.63271 |
| 188 | GNBWestern Africa | 0.63622 |
| 189 | SOMEastern Africa | 0.64441 |
| 190 | TCDMiddle Africa | 0.64997 |
02In 2016
At either end
The 5 countries at each end of the headline.
Highest
- #190
Chad0.64997
- #189
Somalia0.64441
- #188
Guinea-Bissau0.63622
- #187
Mauritania0.63271
- #186
Sudan0.62960
Lowest
- #1
Norway0.26561
- #2
United Kingdom0.27668
- #3
New Zealand0.29688
- #4
Czechia0.29759
- #4
Canada0.29814
A higher value is the worse result. The middle country reads 0.45184. “Shared” marks a value another country also holds.
032015 → 2016
Since 2015
What changed between 2015 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 190values changed, of 190 in both
- 86 · 104rose · fell
- 0unchanged
Rose most
Yemen0.60161 → 0.61146+0.00985
Benin0.59057 → 0.59931+0.00874
Chad0.64206 → 0.64997+0.00791
Papua New Guinea0.54500 → 0.55257+0.00757
Suriname0.43506 → 0.44209+0.00703
Fell most
Nauru0.52915 → 0.49400−0.03515
Cambodia0.50546 → 0.48369−0.02178
Republic of the Congo0.54297 → 0.52262−0.02035
Kyrgyzstan0.38224 → 0.36757−0.01466
India0.51311 → 0.50127−0.01184
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 2016.
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-2016-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 (2016). Climate Vulnerability (ND-GAIN), 2016 [data set], describing 2016. As held by Nations Inquiry, https://nationsinquiry.com/datasets/climate-vulnerability/2016
0630 held
Other years
‹ The year before
Climate Vulnerability (ND-GAIN), 2015190 countries
The year after ›
Climate Vulnerability (ND-GAIN), 2017190 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), 2016: questions and answers
Which country has the highest climate vulnerability in Climate Vulnerability (ND-GAIN), 2016?
Chad, at 0.64997, of the 190 countries in the file.
What year does Climate Vulnerability (ND-GAIN), 2016 describe?
2016.
How many countries does Climate Vulnerability (ND-GAIN), 2016 cover?
190.
Where can I download Climate Vulnerability (ND-GAIN), 2016?
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), 2016 the newest?
No. The newest held here is Climate Vulnerability (ND-GAIN), 2024.