Data for 2013
Climate Vulnerability (ND-GAIN), 2013
2013, as ND-GAIN’s 2026 release gives it · stored as published, never rewritten
Climate Vulnerability (ND-GAIN), 2013 covers 190 countries. Somalia is highest, at 0.64669; Norway is lowest, at 0.26295. The middle country reads 0.45495. Against 2012, 190 values changed (67 up, 123 down), the same countries are covered.
Climate Vulnerability (ND-GAIN) · Data for 2013
HighestSomalia
0.64669LowestNorway
0.26295Shaded 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), 2013, 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 | 0.26295 |
| 2 | GBRNorthern Europe | 0.28189 |
| 3 | NZLAustralia and New Zealand | 0.29650 |
| 4 | CZEEastern Europe | 0.29809 |
| 5 | CHEWestern Europe | 0.30425 |
| =6 | CANNorthern America | 0.30577 |
| =6 | DEUWestern Europe | 0.30641 |
| 8 | POLEastern Europe | 0.31314 |
| 9 | FINNorthern Europe | 0.31496 |
| =10 | ISLNorthern Europe | 0.31740 |
| =10 | USANorthern America | 0.31650 |
| 12 | RUSEastern Europe | 0.32021 |
| 13 | SWENorthern Europe | 0.32206 |
| 14 | AUSAustralia and New Zealand | 0.32318 |
| 15 | ESPSouthern Europe | 0.32452 |
| 16 | IRLNorthern Europe | 0.32629 |
| =17 | AUTWestern Europe | 0.32819 |
| =17 | FRAWestern Europe | 0.32794 |
| 19 | DNKNorthern Europe | 0.33222 |
| 20 | LUXWestern Europe | 0.33803 |
| 21 | LCACaribbean | 0.34233 |
| 22 | SVNSouthern Europe | 0.35061 |
| 23 | GRCSouthern Europe | 0.35433 |
| 24 | KAZCentral Asia | 0.35459 |
| 25 | JPNEastern Asia | 0.35856 |
| 26 | CHLSouth America | 0.36239 |
| 27 | ITASouthern Europe | 0.36391 |
| =28 | ANDSouthern Europe | 0.36481 |
| =28 | CYPWestern Asia | 0.36542 |
| =28 | ESTNorthern Europe | 0.36518 |
| =28 | SVKEastern Europe | 0.36492 |
| =32 | NLDWestern Europe | 0.36609 |
| =32 | KOREastern Asia | 0.36578 |
| =34 | BGREastern Europe | 0.36979 |
| =34 | MLTSouthern Europe | 0.36995 |
| 36 | ISRWestern Asia | 0.37076 |
| 37 | BRASouth America | 0.37470 |
| =38 | KGZCentral Asia | 0.37562 |
| =38 | PRTSouthern Europe | 0.37592 |
| 40 | BIHSouthern Europe | 0.38600 |
| 41 | BLREastern Europe | 0.38676 |
| =42 | LTUNorthern Europe | 0.38758 |
| =42 | VENSouth America | 0.38842 |
| =44 | BELWestern Europe | 0.38925 |
| =44 | MYSSouth-eastern Asia | 0.38922 |
| =46 | HRVSouthern Europe | 0.39023 |
| =46 | HUNEastern Europe | 0.38991 |
| 48 | TTOCaribbean | 0.39106 |
| 49 | CRICentral America | 0.39342 |
| =50 | LVANorthern Europe | 0.39574 |
| =50 | SGPSouth-eastern Asia | 0.39639 |
| 52 | UKREastern Europe | 0.39746 |
| =53 | PRYSouth America | 0.39843 |
| =53 | UZBCentral Asia | 0.39789 |
| 55 | ARMWestern Asia | 0.39955 |
| =56 | CHNEastern Asia | 0.40063 |
| =56 | MKDSouthern Europe | 0.40078 |
| =56 | ROUEastern Europe | 0.40107 |
| =56 | TJKCentral Asia | 0.40059 |
| =60 | TURWestern Asia | 0.40164 |
| =60 | URYSouth America | 0.40231 |
| 62 | MEXCentral America | 0.40270 |
| =63 | ARGSouth America | 0.40925 |
| =63 | MCOWestern Europe | 0.40905 |
| 65 | VCTCaribbean | 0.41290 |
| =66 | PANCentral America | 0.41906 |
| =66 | QATWestern Asia | 0.41944 |
| 68 | MNGEastern Asia | 0.42184 |
| =69 | COLSouth America | 0.42304 |
| =69 | TUNNorthern Africa | 0.42313 |
| 71 | GEOWestern Asia | 0.42455 |
| 72 | BRBCaribbean | 0.42584 |
| 73 | BRNSouth-eastern Asia | 0.42689 |
| 74 | IRNSouthern Asia | 0.42913 |
| =75 | AZEWestern Asia | 0.43060 |
| =75 | NICCentral America | 0.43123 |
| =75 | PERSouth America | 0.43122 |
| =78 | GRDCaribbean | 0.43197 |
| =78 | MNESouthern Europe | 0.43169 |
| 80 | DMACaribbean | 0.43577 |
| 81 | SURSouth America | 0.43694 |
| 82 | KWTWestern Asia | 0.43817 |
| =83 | JAMCaribbean | 0.43986 |
| =83 | JORWestern Asia | 0.44030 |
| 85 | BHSCaribbean | 0.44251 |
| 86 | SLVCentral America | 0.44537 |
| =87 | GABMiddle Africa | 0.44724 |
| =87 | TKMCentral Asia | 0.44665 |
| =89 | IDNSouth-eastern Asia | 0.44835 |
| =89 | THASouth-eastern Asia | 0.44820 |
| =91 | DZANorthern Africa | 0.44909 |
| =91 | GNQMiddle Africa | 0.44945 |
| 93 | CUBCaribbean | 0.45259 |
| 94 | ZAFSouthern Africa | 0.45373 |
| =95 | MDAEastern Europe | 0.45459 |
| =95 | AREWestern Asia | 0.45530 |
| 97 | SYCEastern Africa | 0.45712 |
| =98 | SAUWestern Asia | 0.45836 |
| =98 | SRBSouthern Europe | 0.45763 |
| 100 | LBNWestern Asia | 0.46090 |
| 101 | ALBSouthern Europe | 0.46160 |
| 102 | PHLSouth-eastern Asia | 0.46281 |
| 103 | OMNWestern Asia | 0.46618 |
| =104 | BOLSouth America | 0.46713 |
| =104 | LKASouthern Asia | 0.46678 |
| 106 | DOMCaribbean | 0.46787 |
| 107 | MUSEastern Africa | 0.47010 |
| =108 | GTMCentral America | 0.47244 |
| =108 | HNDCentral America | 0.47227 |
| =110 | MARNorthern Africa | 0.47509 |
| =110 | KNACaribbean | 0.47545 |
| 112 | CMRMiddle Africa | 0.48047 |
| 113 | EGYNorthern Africa | 0.48083 |
| 114 | ECUSouth America | 0.48322 |
| 115 | BLZCentral America | 0.48381 |
| 116 | CPVWestern Africa | 0.48498 |
| =117 | ATGCaribbean | 0.48856 |
| =117 | CIVWestern Africa | 0.48859 |
| =117 | VNMSouth-eastern Asia | 0.48917 |
| 120 | GINWestern Africa | 0.49085 |
| 121 | FJIMelanesia | 0.49226 |
| =122 | BHRWestern Asia | 0.49588 |
| =122 | PLWMicronesia | 0.49562 |
| 124 | LBYNorthern Africa | 0.49682 |
| 125 | BWASouthern Africa | 0.49954 |
| =126 | GHAWestern Africa | 0.50083 |
| =126 | NGAWestern Africa | 0.50055 |
| 128 | LAOSouth-eastern Asia | 0.50196 |
| 129 | IRQWestern Asia | 0.50290 |
| =130 | KENEastern Africa | 0.50510 |
| =130 | MOZEastern Africa | 0.50477 |
| =130 | SYRWestern Asia | 0.50480 |
| =133 | COMEastern Africa | 0.50611 |
| =133 | ZWEEastern Africa | 0.50571 |
| =135 | KHMSouth-eastern Asia | 0.50726 |
| =135 | ZMBEastern Africa | 0.50694 |
| 137 | INDSouthern Asia | 0.51123 |
| 138 | GUYSouth America | 0.51374 |
| 139 | PRKEastern Asia | 0.51551 |
| 140 | AGOMiddle Africa | 0.51800 |
| 141 | MHLMicronesia | 0.51946 |
| 142 | LSOSouthern Africa | 0.51964 |
| 143 | SWZSouthern Africa | 0.52096 |
| 144 | TGOWestern Africa | 0.52179 |
| =145 | MMRSouth-eastern Asia | 0.52412 |
| =145 | TZAEastern Africa | 0.52436 |
| 147 | NPLSouthern Asia | 0.52921 |
| 148 | SENWestern Africa | 0.52995 |
| 149 | STPMiddle Africa | 0.53128 |
| 150 | BFAWestern Africa | 0.53287 |
| 151 | PAKSouthern Asia | 0.53522 |
| =152 | NAMSouthern Africa | 0.53613 |
| =152 | WSMPolynesia | 0.53611 |
| 154 | NRUMicronesia | 0.53657 |
| 155 | MDVSouthern Asia | 0.54496 |
| 156 | HTICaribbean | 0.54676 |
| 157 | BTNSouthern Asia | 0.54934 |
| 158 | UGAEastern Africa | 0.55035 |
| 159 | COGMiddle Africa | 0.55244 |
| 160 | ETHEastern Africa | 0.55588 |
| 161 | MDGEastern Africa | 0.55688 |
| 162 | PNGMelanesia | 0.56037 |
| 163 | BGDSouthern Asia | 0.56359 |
| 164 | TUVPolynesia | 0.57379 |
| 165 | TLSSouth-eastern Asia | 0.57472 |
| 166 | GMBWestern Africa | 0.57813 |
| 167 | VUTMelanesia | 0.57904 |
| 168 | CODMiddle Africa | 0.58210 |
| 169 | KIRMicronesia | 0.58449 |
| 170 | MWIEastern Africa | 0.58691 |
| 171 | NERWestern Africa | 0.58757 |
| 172 | YEMWestern Asia | 0.59054 |
| 173 | BENWestern Africa | 0.59263 |
| 174 | SLEWestern Africa | 0.59651 |
| 175 | CAFMiddle Africa | 0.59806 |
| 176 | LBRWestern Africa | 0.59873 |
| =177 | DJIEastern Africa | 0.60116 |
| =177 | TONPolynesia | 0.60139 |
| 179 | MLIWestern Africa | 0.60942 |
| 180 | BDIEastern Africa | 0.61619 |
| 181 | AFGSouthern Asia | 0.62218 |
| 182 | RWAEastern Africa | 0.62291 |
| 183 | FSMMicronesia | 0.62541 |
| 184 | MRTWestern Africa | 0.62938 |
| 185 | SDNNorthern Africa | 0.63123 |
| 186 | SLBMelanesia | 0.63240 |
| 187 | GNBWestern Africa | 0.63416 |
| 188 | TCDMiddle Africa | 0.63464 |
| 189 | ERIEastern Africa | 0.64058 |
| 190 | SOMEastern Africa | 0.64669 |
02In 2013
At either end
The 5 countries at each end of the headline.
Highest
- #190
Somalia0.64669
- #189
Eritrea0.64058
- #188
Chad0.63464
- #187
Guinea-Bissau0.63416
- #186
Solomon Islands0.63240
Lowest
- #1
Norway0.26295
- #2
United Kingdom0.28189
- #3
New Zealand0.29650
- #4
Czechia0.29809
- #5
Switzerland0.30425
A higher value is the worse result. The middle country reads 0.45495. “Shared” marks a value another country also holds.
032012 → 2013
Since 2012
What changed between 2012 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 190values changed, of 190 in both
- 67 · 123rose · fell
- 0unchanged
Rose most
Tuvalu0.55305 → 0.57379+0.02074
Samoa0.52048 → 0.53611+0.01564
Syria0.49390 → 0.50480+0.01091
Denmark0.32350 → 0.33222+0.00872
Central African Republic0.58952 → 0.59806+0.00854
Fell most
Andorra0.38598 → 0.36481−0.02117
Burundi0.63289 → 0.61619−0.01669
Croatia0.40592 → 0.39023−0.01570
Montenegro0.44578 → 0.43169−0.01409
Tonga0.61451 → 0.60139−0.01311
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 2013.
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-2013-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 (2013). Climate Vulnerability (ND-GAIN), 2013 [data set], describing 2013. As held by Nations Inquiry, https://nationsinquiry.com/datasets/climate-vulnerability/2013
0630 held
Other years
‹ The year before
Climate Vulnerability (ND-GAIN), 2012190 countries
The year after ›
Climate Vulnerability (ND-GAIN), 2014190 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), 2013: questions and answers
Which country has the highest climate vulnerability in Climate Vulnerability (ND-GAIN), 2013?
Somalia, at 0.64669, of the 190 countries in the file.
What year does Climate Vulnerability (ND-GAIN), 2013 describe?
2013.
How many countries does Climate Vulnerability (ND-GAIN), 2013 cover?
190.
Where can I download Climate Vulnerability (ND-GAIN), 2013?
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), 2013 the newest?
No. The newest held here is Climate Vulnerability (ND-GAIN), 2024.