Data for 2009
Climate Vulnerability (ND-GAIN), 2009
2009, as ND-GAIN’s 2026 release gives it · stored as published, never rewritten
Climate Vulnerability (ND-GAIN), 2009 covers 190 countries. Somalia is highest, at 0.66058; Norway is lowest, at 0.26275. The middle country reads 0.46471. Against 2008, 190 values changed (74 up, 116 down), the same countries are covered.
Climate Vulnerability (ND-GAIN) · Data for 2009
HighestSomalia
0.66058LowestNorway
0.26275Shaded 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), 2009, 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 | 0.26275 |
| 2 | GBRNorthern Europe | 0.27489 |
| =3 | CZEEastern Europe | 0.29674 |
| =3 | NZLAustralia and New Zealand | 0.29662 |
| 5 | CHEWestern Europe | 0.30702 |
| 6 | CANNorthern America | 0.31015 |
| 7 | DEUWestern Europe | 0.31102 |
| 8 | FINNorthern Europe | 0.31415 |
| 9 | POLEastern Europe | 0.31644 |
| =10 | RUSEastern Europe | 0.31974 |
| =10 | USANorthern America | 0.31973 |
| 12 | SWENorthern Europe | 0.32249 |
| 13 | ISLNorthern Europe | 0.32332 |
| =14 | DNKNorthern Europe | 0.32664 |
| =14 | IRLNorthern Europe | 0.32687 |
| 16 | AUSAustralia and New Zealand | 0.32757 |
| 17 | FRAWestern Europe | 0.32952 |
| 18 | AUTWestern Europe | 0.33070 |
| 19 | ESPSouthern Europe | 0.33326 |
| 20 | LUXWestern Europe | 0.34016 |
| 21 | JPNEastern Asia | 0.35629 |
| 22 | SVNSouthern Europe | 0.35663 |
| 23 | LCACaribbean | 0.35753 |
| 24 | KAZCentral Asia | 0.36131 |
| 25 | GRCSouthern Europe | 0.36377 |
| 26 | ITASouthern Europe | 0.36476 |
| 27 | CYPWestern Asia | 0.36580 |
| 28 | KOREastern Asia | 0.36853 |
| 29 | SVKEastern Europe | 0.37012 |
| =30 | CHLSouth America | 0.37086 |
| =30 | NLDWestern Europe | 0.37146 |
| 32 | ESTNorthern Europe | 0.37179 |
| 33 | ISRWestern Asia | 0.37569 |
| 34 | MLTSouthern Europe | 0.37843 |
| 35 | BGREastern Europe | 0.37911 |
| 36 | BRASouth America | 0.38087 |
| 37 | PRTSouthern Europe | 0.38251 |
| 38 | BLREastern Europe | 0.38487 |
| 39 | LTUNorthern Europe | 0.38628 |
| 40 | VENSouth America | 0.38774 |
| 41 | ANDSouthern Europe | 0.39031 |
| 42 | KGZCentral Asia | 0.39185 |
| =43 | BELWestern Europe | 0.39557 |
| =43 | BIHSouthern Europe | 0.39568 |
| 45 | MYSSouth-eastern Asia | 0.39706 |
| =46 | LVANorthern Europe | 0.39925 |
| =46 | SGPSouth-eastern Asia | 0.39931 |
| =48 | ARMWestern Asia | 0.40128 |
| =48 | TURWestern Asia | 0.40071 |
| =48 | UZBCentral Asia | 0.40124 |
| 51 | TJKCentral Asia | 0.40203 |
| 52 | PRYSouth America | 0.40288 |
| 53 | HUNEastern Europe | 0.40448 |
| 54 | TTOCaribbean | 0.40493 |
| =55 | CHNEastern Asia | 0.40748 |
| =55 | MKDSouthern Europe | 0.40656 |
| 57 | ARGSouth America | 0.40787 |
| =58 | MEXCentral America | 0.40873 |
| =58 | UKREastern Europe | 0.40942 |
| =60 | MCOWestern Europe | 0.41145 |
| =60 | ROUEastern Europe | 0.41071 |
| 62 | URYSouth America | 0.41187 |
| 63 | HRVSouthern Europe | 0.41281 |
| 64 | CRICentral America | 0.41527 |
| 65 | TUNNorthern Africa | 0.42034 |
| 66 | QATWestern Asia | 0.42166 |
| 67 | IRNSouthern Asia | 0.42322 |
| 68 | VCTCaribbean | 0.42379 |
| 69 | PANCentral America | 0.42597 |
| 70 | COLSouth America | 0.42910 |
| =71 | BRNSouth-eastern Asia | 0.42967 |
| =71 | GEOWestern Asia | 0.42961 |
| 73 | GRDCaribbean | 0.43053 |
| 74 | MNGEastern Asia | 0.43362 |
| 75 | SURSouth America | 0.43584 |
| 76 | AZEWestern Asia | 0.43890 |
| 77 | DMACaribbean | 0.43970 |
| 78 | JORWestern Asia | 0.44205 |
| =79 | BRBCaribbean | 0.44432 |
| =79 | PERSouth America | 0.44382 |
| =79 | THASouth-eastern Asia | 0.44402 |
| 82 | TKMCentral Asia | 0.44847 |
| =83 | DZANorthern Africa | 0.45052 |
| =83 | MNESouthern Europe | 0.45087 |
| =85 | IDNSouth-eastern Asia | 0.45170 |
| =85 | JAMCaribbean | 0.45169 |
| =85 | KWTWestern Asia | 0.45190 |
| =88 | GNQMiddle Africa | 0.45488 |
| =88 | GABMiddle Africa | 0.45479 |
| =90 | NICCentral America | 0.45566 |
| =90 | AREWestern Asia | 0.45635 |
| 92 | CUBCaribbean | 0.45678 |
| 93 | LKASouthern Asia | 0.45828 |
| 94 | ZAFSouthern Africa | 0.45973 |
| 95 | SLVCentral America | 0.46423 |
| =96 | PHLSouth-eastern Asia | 0.46519 |
| =96 | SAUWestern Asia | 0.46534 |
| 98 | SYCEastern Africa | 0.46907 |
| 99 | OMNWestern Asia | 0.46967 |
| =100 | DOMCaribbean | 0.47214 |
| =100 | SRBSouthern Europe | 0.47160 |
| 102 | BOLSouth America | 0.47330 |
| =103 | LBNWestern Asia | 0.47447 |
| =103 | MDAEastern Europe | 0.47444 |
| 105 | BHSCaribbean | 0.47532 |
| 106 | CPVWestern Africa | 0.47746 |
| =107 | HNDCentral America | 0.48224 |
| =107 | KNACaribbean | 0.48237 |
| 109 | ALBSouthern Europe | 0.48331 |
| 110 | GINWestern Africa | 0.48530 |
| =111 | GTMCentral America | 0.48632 |
| =111 | LBYNorthern Africa | 0.48567 |
| =113 | CMRMiddle Africa | 0.48707 |
| =113 | MARNorthern Africa | 0.48681 |
| 115 | ECUSouth America | 0.48825 |
| 116 | SYRWestern Asia | 0.48947 |
| 117 | MUSEastern Africa | 0.48986 |
| 118 | ATGCaribbean | 0.49112 |
| 119 | EGYNorthern Africa | 0.49192 |
| 120 | BHRWestern Asia | 0.49310 |
| 121 | BLZCentral America | 0.49787 |
| 122 | NGAWestern Africa | 0.49927 |
| 123 | CIVWestern Africa | 0.49973 |
| =124 | FJIMelanesia | 0.50332 |
| =124 | VNMSouth-eastern Asia | 0.50305 |
| =126 | IRQWestern Asia | 0.50804 |
| =126 | ZWEEastern Africa | 0.50830 |
| =128 | MOZEastern Africa | 0.51244 |
| =128 | ZMBEastern Africa | 0.51218 |
| =130 | BWASouthern Africa | 0.51314 |
| =130 | PLWMicronesia | 0.51307 |
| =132 | GHAWestern Africa | 0.52090 |
| =132 | PRKEastern Asia | 0.52104 |
| =134 | INDSouthern Asia | 0.52199 |
| =134 | KENEastern Africa | 0.52237 |
| 136 | AGOMiddle Africa | 0.52262 |
| 137 | WSMPolynesia | 0.52410 |
| =138 | KHMSouth-eastern Asia | 0.52587 |
| =138 | SWZSouthern Africa | 0.52623 |
| =138 | MHLMicronesia | 0.52584 |
| 141 | TGOWestern Africa | 0.52651 |
| =142 | LAOSouth-eastern Asia | 0.53035 |
| =142 | LSOSouthern Africa | 0.53042 |
| =142 | SENWestern Africa | 0.52959 |
| =142 | TZAEastern Africa | 0.52999 |
| 146 | COMEastern Africa | 0.53103 |
| 147 | GUYSouth America | 0.53300 |
| 148 | MMRSouth-eastern Asia | 0.53443 |
| 149 | NRUMicronesia | 0.54018 |
| 150 | STPMiddle Africa | 0.54114 |
| 151 | PAKSouthern Asia | 0.54609 |
| 152 | BFAWestern Africa | 0.54689 |
| =153 | HTICaribbean | 0.54938 |
| =153 | NPLSouthern Asia | 0.54878 |
| 155 | BTNSouthern Asia | 0.55340 |
| =156 | NAMSouthern Africa | 0.55639 |
| =156 | UGAEastern Africa | 0.55599 |
| 158 | MDVSouthern Asia | 0.55671 |
| 159 | PNGMelanesia | 0.55837 |
| =160 | MDGEastern Africa | 0.55890 |
| =160 | COGMiddle Africa | 0.55874 |
| 162 | TUVPolynesia | 0.56604 |
| =163 | ETHEastern Africa | 0.57239 |
| =163 | VUTMelanesia | 0.57205 |
| 165 | BGDSouthern Asia | 0.57511 |
| 166 | CODMiddle Africa | 0.58120 |
| 167 | GMBWestern Africa | 0.58157 |
| 168 | NERWestern Africa | 0.58885 |
| 169 | TONPolynesia | 0.59009 |
| 170 | YEMWestern Asia | 0.59306 |
| 171 | BENWestern Africa | 0.59356 |
| 172 | TLSSouth-eastern Asia | 0.59475 |
| 173 | MWIEastern Africa | 0.59654 |
| 174 | CAFMiddle Africa | 0.60141 |
| 175 | MLIWestern Africa | 0.60271 |
| 176 | LBRWestern Africa | 0.60430 |
| 177 | DJIEastern Africa | 0.60513 |
| 178 | SLEWestern Africa | 0.61126 |
| 179 | BDIEastern Africa | 0.62082 |
| 180 | KIRMicronesia | 0.62505 |
| 181 | SDNNorthern Africa | 0.63043 |
| =182 | AFGSouthern Asia | 0.63190 |
| =182 | RWAEastern Africa | 0.63171 |
| 184 | FSMMicronesia | 0.63440 |
| 185 | MRTWestern Africa | 0.63803 |
| 186 | TCDMiddle Africa | 0.64112 |
| 187 | ERIEastern Africa | 0.64827 |
| =188 | GNBWestern Africa | 0.65046 |
| =188 | SLBMelanesia | 0.64989 |
| 190 | SOMEastern Africa | 0.66058 |
02In 2009
At either end
The 5 countries at each end of the headline.
Highest
- #190
Somalia0.66058
- #188
Guinea-Bissau0.65046
- #188
Solomon Islands0.64989
- #187
Eritrea0.64827
- #186
Chad0.64112
Lowest
- #1
Norway0.26275
- #2
United Kingdom0.27489
- #3
New Zealand0.29662
- #3
Czechia0.29674
- #5
Switzerland0.30702
A higher value is the worse result. The middle country reads 0.46471. “Shared” marks a value another country also holds.
032008 → 2009
Since 2008
What changed between 2008 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 190values changed, of 190 in both
- 74 · 116rose · fell
- 0unchanged
Rose most
Tuvalu0.54603 → 0.56604+0.02001
Central African Republic0.58516 → 0.60141+0.01624
Vanuatu0.55635 → 0.57205+0.01570
Mauritania0.62425 → 0.63803+0.01378
Barbados0.43105 → 0.44432+0.01328
Fell most
Tonga0.61552 → 0.59009−0.02543
Senegal0.53982 → 0.52959−0.01023
Armenia0.40989 → 0.40128−0.00860
Lebanon0.48213 → 0.47447−0.00766
Seychelles0.47671 → 0.46907−0.00764
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 2009.
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-2009-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 (2009). Climate Vulnerability (ND-GAIN), 2009 [data set], describing 2009. As held by Nations Inquiry, https://nationsinquiry.com/datasets/climate-vulnerability/2009
0630 held
Other years
‹ The year before
Climate Vulnerability (ND-GAIN), 2008190 countries
The year after ›
Climate Vulnerability (ND-GAIN), 2010190 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), 2009: questions and answers
Which country has the highest climate vulnerability in Climate Vulnerability (ND-GAIN), 2009?
Somalia, at 0.66058, of the 190 countries in the file.
What year does Climate Vulnerability (ND-GAIN), 2009 describe?
2009.
How many countries does Climate Vulnerability (ND-GAIN), 2009 cover?
190.
Where can I download Climate Vulnerability (ND-GAIN), 2009?
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), 2009 the newest?
No. The newest held here is Climate Vulnerability (ND-GAIN), 2024.