Data for 2010
Climate Vulnerability (ND-GAIN), 2010
2010, as ND-GAIN’s 2026 release gives it · stored as published, never rewritten
Climate Vulnerability (ND-GAIN), 2010 covers 190 countries. Guinea-Bissau is highest, at 0.652042; Norway is lowest, at 0.260903. The middle country reads 0.460715. Against 2009, 190 values changed (46 up, 144 down), the same countries are covered.
Climate Vulnerability (ND-GAIN) · Data for 2010
HighestGuinea-Bissau
0.652042LowestNorway
0.260903Shaded 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), 2010, 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 | 0.260903 |
| 2 | GBRNorthern Europe | 0.275985 |
| 3 | NZLAustralia and New Zealand | 0.294568 |
| 4 | CZEEastern Europe | 0.296170 |
| 5 | CHEWestern Europe | 0.306174 |
| 6 | DEUWestern Europe | 0.308051 |
| 7 | CANNorthern America | 0.309202 |
| 8 | FINNorthern Europe | 0.312313 |
| 9 | POLEastern Europe | 0.315426 |
| 10 | RUSEastern Europe | 0.318002 |
| 11 | USANorthern America | 0.318591 |
| 12 | ISLNorthern Europe | 0.321310 |
| 13 | SWENorthern Europe | 0.322353 |
| 14 | IRLNorthern Europe | 0.324648 |
| 15 | DNKNorthern Europe | 0.326229 |
| 16 | AUSAustralia and New Zealand | 0.327037 |
| 17 | FRAWestern Europe | 0.328042 |
| =18 | AUTWestern Europe | 0.330036 |
| =18 | ESPSouthern Europe | 0.329928 |
| 20 | LUXWestern Europe | 0.338960 |
| 21 | LCACaribbean | 0.352430 |
| 22 | JPNEastern Asia | 0.353937 |
| =23 | KAZCentral Asia | 0.357421 |
| =23 | SVNSouthern Europe | 0.356954 |
| 25 | GRCSouthern Europe | 0.358855 |
| 26 | ITASouthern Europe | 0.365024 |
| 27 | CYPWestern Asia | 0.365763 |
| =28 | NLDWestern Europe | 0.367234 |
| =28 | SVKEastern Europe | 0.366750 |
| 30 | KOREastern Asia | 0.367780 |
| =31 | CHLSouth America | 0.370338 |
| =31 | ESTNorthern Europe | 0.369703 |
| 33 | ISRWestern Asia | 0.374879 |
| 34 | BGREastern Europe | 0.377461 |
| =35 | BRASouth America | 0.379471 |
| =35 | MLTSouthern Europe | 0.378789 |
| =35 | PRTSouthern Europe | 0.378860 |
| 38 | KGZCentral Asia | 0.385733 |
| =39 | BLREastern Europe | 0.386509 |
| =39 | VENSouth America | 0.387405 |
| 41 | ANDSouthern Europe | 0.389420 |
| 42 | LTUNorthern Europe | 0.389922 |
| 43 | LVANorthern Europe | 0.390962 |
| =44 | BIHSouthern Europe | 0.394631 |
| =44 | HUNEastern Europe | 0.395117 |
| =44 | MYSSouth-eastern Asia | 0.394712 |
| 47 | CRICentral America | 0.395937 |
| =48 | ARMWestern Asia | 0.396599 |
| =48 | BELWestern Europe | 0.397145 |
| 50 | UZBCentral Asia | 0.398382 |
| 51 | SGPSouth-eastern Asia | 0.399055 |
| 52 | TJKCentral Asia | 0.400185 |
| 53 | PRYSouth America | 0.401305 |
| 54 | MKDSouthern Europe | 0.402206 |
| 55 | TTOCaribbean | 0.404186 |
| =56 | CHNEastern Asia | 0.404813 |
| =56 | TURWestern Asia | 0.404861 |
| =56 | UKREastern Europe | 0.405302 |
| 59 | URYSouth America | 0.406385 |
| 60 | MEXCentral America | 0.406566 |
| 61 | ARGSouth America | 0.407515 |
| 62 | ROUEastern Europe | 0.410890 |
| =63 | HRVSouthern Europe | 0.413091 |
| =63 | MCOWestern Europe | 0.413466 |
| =65 | QATWestern Asia | 0.419104 |
| =65 | TUNNorthern Africa | 0.419240 |
| 67 | BRNSouth-eastern Asia | 0.422151 |
| 68 | IRNSouthern Asia | 0.423666 |
| 69 | GEOWestern Asia | 0.426457 |
| =70 | COLSouth America | 0.426957 |
| =70 | PANCentral America | 0.427386 |
| =72 | GRDCaribbean | 0.428142 |
| =72 | VCTCaribbean | 0.427881 |
| 74 | MNGEastern Asia | 0.430676 |
| 75 | PERSouth America | 0.435156 |
| 76 | DMACaribbean | 0.439250 |
| =77 | AZEWestern Asia | 0.440130 |
| =77 | JORWestern Asia | 0.440226 |
| 79 | SURSouth America | 0.440715 |
| =80 | BRBCaribbean | 0.443796 |
| =80 | MNESouthern Europe | 0.443836 |
| =80 | THASouth-eastern Asia | 0.443708 |
| =83 | KWTWestern Asia | 0.446970 |
| =83 | TKMCentral Asia | 0.447228 |
| =85 | DZANorthern Africa | 0.449317 |
| =85 | IDNSouth-eastern Asia | 0.449363 |
| 87 | JAMCaribbean | 0.450538 |
| 88 | GABMiddle Africa | 0.451573 |
| 89 | GNQMiddle Africa | 0.452907 |
| =90 | CUBCaribbean | 0.454129 |
| =90 | SYCEastern Africa | 0.453694 |
| =92 | NICCentral America | 0.456672 |
| =92 | AREWestern Asia | 0.456571 |
| =94 | SLVCentral America | 0.458727 |
| =94 | ZAFSouthern Africa | 0.458552 |
| 96 | SAUWestern Asia | 0.462703 |
| 97 | LKASouthern Asia | 0.464762 |
| 98 | LBNWestern Asia | 0.465630 |
| =99 | MDAEastern Europe | 0.468291 |
| =99 | PHLSouth-eastern Asia | 0.467533 |
| 101 | OMNWestern Asia | 0.469053 |
| =102 | BOLSouth America | 0.470163 |
| =102 | DOMCaribbean | 0.470266 |
| 104 | SRBSouthern Europe | 0.471041 |
| 105 | BHSCaribbean | 0.474416 |
| 106 | ALBSouthern Europe | 0.475267 |
| 107 | CPVWestern Africa | 0.475776 |
| =108 | HNDCentral America | 0.478535 |
| =108 | KNACaribbean | 0.478870 |
| 110 | MARNorthern Africa | 0.479897 |
| 111 | GTMCentral America | 0.481000 |
| 112 | ECUSouth America | 0.482922 |
| 113 | CMRMiddle Africa | 0.483614 |
| =114 | GINWestern Africa | 0.486640 |
| =114 | LBYNorthern Africa | 0.486590 |
| =114 | SYRWestern Asia | 0.486938 |
| 117 | MUSEastern Africa | 0.488351 |
| 118 | EGYNorthern Africa | 0.488798 |
| =119 | ATGCaribbean | 0.493031 |
| =119 | BHRWestern Asia | 0.493470 |
| 121 | CIVWestern Africa | 0.494073 |
| 122 | NGAWestern Africa | 0.497469 |
| 123 | VNMSouth-eastern Asia | 0.497841 |
| =124 | BLZCentral America | 0.498644 |
| =124 | FJIMelanesia | 0.498935 |
| 126 | COMEastern Africa | 0.504412 |
| 127 | BWASouthern Africa | 0.506666 |
| 128 | IRQWestern Asia | 0.507554 |
| 129 | MOZEastern Africa | 0.509080 |
| =130 | ZMBEastern Africa | 0.512967 |
| =130 | ZWEEastern Africa | 0.512841 |
| 132 | PLWMicronesia | 0.517251 |
| =133 | GHAWestern Africa | 0.517582 |
| =133 | LAOSouth-eastern Asia | 0.518105 |
| =133 | PRKEastern Asia | 0.517879 |
| 136 | INDSouthern Asia | 0.519244 |
| =137 | KENEastern Africa | 0.520358 |
| =137 | LSOSouthern Africa | 0.519758 |
| 139 | TGOWestern Africa | 0.521205 |
| =140 | KHMSouth-eastern Asia | 0.521961 |
| =140 | SWZSouthern Africa | 0.521958 |
| 142 | MHLMicronesia | 0.523242 |
| =143 | AGOMiddle Africa | 0.524529 |
| =143 | WSMPolynesia | 0.524573 |
| 145 | GUYSouth America | 0.527830 |
| =146 | MMRSouth-eastern Asia | 0.530545 |
| =146 | SENWestern Africa | 0.531224 |
| =146 | TZAEastern Africa | 0.530997 |
| 149 | STPMiddle Africa | 0.535600 |
| 150 | NPLSouthern Asia | 0.540728 |
| 151 | NRUMicronesia | 0.541941 |
| 152 | BFAWestern Africa | 0.543330 |
| 153 | PAKSouthern Asia | 0.545377 |
| 154 | COGMiddle Africa | 0.547006 |
| 155 | HTICaribbean | 0.548074 |
| 156 | MDGEastern Africa | 0.549857 |
| 157 | NAMSouthern Africa | 0.552275 |
| =158 | MDVSouthern Asia | 0.554902 |
| =158 | UGAEastern Africa | 0.554694 |
| 160 | BTNSouthern Asia | 0.555905 |
| 161 | TUVPolynesia | 0.559699 |
| 162 | PNGMelanesia | 0.562002 |
| 163 | ETHEastern Africa | 0.570428 |
| =164 | BGDSouthern Asia | 0.572872 |
| =164 | VUTMelanesia | 0.572561 |
| 166 | CODMiddle Africa | 0.580293 |
| 167 | GMBWestern Africa | 0.582936 |
| 168 | CAFMiddle Africa | 0.586140 |
| 169 | KIRMicronesia | 0.589388 |
| 170 | TLSSouth-eastern Asia | 0.589949 |
| =171 | NERWestern Africa | 0.591610 |
| =171 | YEMWestern Asia | 0.592076 |
| 173 | MWIEastern Africa | 0.597560 |
| 174 | DJIEastern Africa | 0.599726 |
| 175 | BENWestern Africa | 0.600554 |
| 176 | LBRWestern Africa | 0.603084 |
| 177 | MLIWestern Africa | 0.603740 |
| 178 | TONPolynesia | 0.610574 |
| 179 | SLEWestern Africa | 0.614320 |
| 180 | AFGSouthern Asia | 0.618569 |
| 181 | BDIEastern Africa | 0.620126 |
| 182 | MRTWestern Africa | 0.626235 |
| 183 | RWAEastern Africa | 0.628610 |
| 184 | FSMMicronesia | 0.632335 |
| 185 | SDNNorthern Africa | 0.633235 |
| 186 | TCDMiddle Africa | 0.637823 |
| 187 | SLBMelanesia | 0.640032 |
| 188 | ERIEastern Africa | 0.648427 |
| 189 | SOMEastern Africa | 0.648943 |
| 190 | GNBWestern Africa | 0.652042 |
02In 2010
At either end
The 5 countries at each end of the headline.
Highest
- #190
Guinea-Bissau0.652042
- #189
Somalia0.648943
- #188
Eritrea0.648427
- #187
Solomon Islands0.640032
- #186
Chad0.637823
Lowest
- #1
Norway0.260903
- #2
United Kingdom0.275985
- #3
New Zealand0.294568
- #4
Czechia0.296170
- #5
Switzerland0.306174
A higher value is the worse result. The middle country reads 0.460715. “Shared” marks a value another country also holds.
032009 → 2010
Since 2009
What changed between 2009 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 190values changed, of 190 in both
- 46 · 144rose · fell
- 0unchanged
Rose most
Fell most
Kiribati0.625054 → 0.589388−0.035665
Comoros0.531031 → 0.504412−0.026620
Costa Rica0.415271 → 0.395937−0.019334
Seychelles0.469074 → 0.453694−0.015380
Central African Republic0.601406 → 0.586140−0.015266
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 2010.
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-2010-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 (2010). Climate Vulnerability (ND-GAIN), 2010 [data set], describing 2010. As held by Nations Inquiry, https://nationsinquiry.com/datasets/climate-vulnerability/2010
0630 held
Other years
‹ The year before
Climate Vulnerability (ND-GAIN), 2009190 countries
The year after ›
Climate Vulnerability (ND-GAIN), 2011190 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), 2010: questions and answers
Which country has the highest climate vulnerability in Climate Vulnerability (ND-GAIN), 2010?
Guinea-Bissau, at 0.652042, of the 190 countries in the file.
What year does Climate Vulnerability (ND-GAIN), 2010 describe?
2010.
How many countries does Climate Vulnerability (ND-GAIN), 2010 cover?
190.
Where can I download Climate Vulnerability (ND-GAIN), 2010?
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), 2010 the newest?
No. The newest held here is Climate Vulnerability (ND-GAIN), 2024.