Data for 2005
Climate Vulnerability (ND-GAIN), 2005
2005, as ND-GAIN’s 2026 release gives it · stored as published, never rewritten
Climate Vulnerability (ND-GAIN), 2005 covers 190 countries. Somalia is highest, at 0.66574; Norway is lowest, at 0.26820. The middle country reads 0.47065. Against 2004, 190 values changed (48 up, 142 down), the same countries are covered.
Climate Vulnerability (ND-GAIN) · Data for 2005
HighestSomalia
0.66574LowestNorway
0.26820Shaded 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), 2005, 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 | 0.26820 |
| =1 | GBRNorthern Europe | 0.26834 |
| 3 | CZEEastern Europe | 0.29879 |
| 4 | NZLAustralia and New Zealand | 0.30080 |
| 5 | CANNorthern America | 0.31180 |
| 6 | CHEWestern Europe | 0.31316 |
| 7 | DEUWestern Europe | 0.31487 |
| =8 | FINNorthern Europe | 0.31563 |
| =8 | POLEastern Europe | 0.31635 |
| 10 | SWENorthern Europe | 0.31966 |
| =11 | RUSEastern Europe | 0.32193 |
| =11 | USANorthern America | 0.32196 |
| 13 | DNKNorthern Europe | 0.32747 |
| 14 | AUSAustralia and New Zealand | 0.32971 |
| 15 | IRLNorthern Europe | 0.33127 |
| 16 | AUTWestern Europe | 0.33240 |
| 17 | FRAWestern Europe | 0.33281 |
| 18 | ESPSouthern Europe | 0.33377 |
| 19 | ISLNorthern Europe | 0.33702 |
| 20 | LUXWestern Europe | 0.34037 |
| 21 | SVNSouthern Europe | 0.35386 |
| 22 | JPNEastern Asia | 0.35543 |
| 23 | LCACaribbean | 0.35605 |
| 24 | GRCSouthern Europe | 0.36406 |
| 25 | ITASouthern Europe | 0.36468 |
| 26 | KAZCentral Asia | 0.37051 |
| =27 | ESTNorthern Europe | 0.37184 |
| =27 | KOREastern Asia | 0.37216 |
| 29 | NLDWestern Europe | 0.37337 |
| 30 | CHLSouth America | 0.37369 |
| 31 | CYPWestern Asia | 0.37541 |
| 32 | SVKEastern Europe | 0.37646 |
| 33 | ISRWestern Asia | 0.38109 |
| 34 | VENSouth America | 0.38625 |
| =35 | KGZCentral Asia | 0.38799 |
| =35 | MLTSouthern Europe | 0.38783 |
| 37 | BRASouth America | 0.38957 |
| 38 | BLREastern Europe | 0.39074 |
| 39 | BGREastern Europe | 0.39177 |
| =40 | BELWestern Europe | 0.39405 |
| =40 | LTUNorthern Europe | 0.39364 |
| 42 | PRTSouthern Europe | 0.39462 |
| 43 | ANDSouthern Europe | 0.39712 |
| 44 | LVANorthern Europe | 0.39952 |
| =45 | BIHSouthern Europe | 0.40288 |
| =45 | SGPSouth-eastern Asia | 0.40308 |
| =47 | MYSSouth-eastern Asia | 0.40451 |
| =47 | TTOCaribbean | 0.40543 |
| 49 | HUNEastern Europe | 0.40615 |
| 50 | PRYSouth America | 0.40749 |
| =51 | ARGSouth America | 0.40931 |
| =51 | MCOWestern Europe | 0.40945 |
| =51 | MKDSouthern Europe | 0.40870 |
| =51 | TURWestern Asia | 0.40924 |
| 55 | TJKCentral Asia | 0.41189 |
| =56 | CRICentral America | 0.41508 |
| =56 | HRVSouthern Europe | 0.41471 |
| =56 | UZBCentral Asia | 0.41476 |
| =59 | MEXCentral America | 0.41645 |
| =59 | UKREastern Europe | 0.41573 |
| =61 | ARMWestern Asia | 0.41718 |
| =61 | CHNEastern Asia | 0.41666 |
| =63 | TUNNorthern Africa | 0.42246 |
| =63 | URYSouth America | 0.42179 |
| 65 | GEOWestern Asia | 0.42255 |
| =66 | ROUEastern Europe | 0.42359 |
| =66 | VCTCaribbean | 0.42389 |
| 68 | IRNSouthern Asia | 0.42624 |
| 69 | BRBCaribbean | 0.42803 |
| 70 | GRDCaribbean | 0.42926 |
| 71 | BRNSouth-eastern Asia | 0.43074 |
| 72 | SURSouth America | 0.43309 |
| 73 | PANCentral America | 0.43374 |
| 74 | COLSouth America | 0.43819 |
| 75 | MNGEastern Asia | 0.43854 |
| 76 | QATWestern Asia | 0.44028 |
| 77 | DMACaribbean | 0.44221 |
| =78 | AZEWestern Asia | 0.44504 |
| =78 | JORWestern Asia | 0.44542 |
| 80 | THASouth-eastern Asia | 0.44597 |
| =81 | JAMCaribbean | 0.45246 |
| =81 | TKMCentral Asia | 0.45226 |
| =83 | GNQMiddle Africa | 0.45261 |
| =83 | MNESouthern Europe | 0.45306 |
| 85 | LKASouthern Asia | 0.45427 |
| 86 | AREWestern Asia | 0.45530 |
| =87 | DZANorthern Africa | 0.45585 |
| =87 | IDNSouth-eastern Asia | 0.45566 |
| =87 | PERSouth America | 0.45559 |
| 90 | KWTWestern Asia | 0.45690 |
| 91 | CUBCaribbean | 0.45831 |
| 92 | ZAFSouthern Africa | 0.46443 |
| 93 | SLVCentral America | 0.46594 |
| 94 | GABMiddle Africa | 0.46724 |
| 95 | NICCentral America | 0.46763 |
| =96 | OMNWestern Asia | 0.47444 |
| =96 | PHLSouth-eastern Asia | 0.47367 |
| =96 | SRBSouthern Europe | 0.47401 |
| 99 | MDAEastern Europe | 0.47476 |
| =100 | BHSCaribbean | 0.47706 |
| =100 | SAUWestern Asia | 0.47655 |
| 102 | DOMCaribbean | 0.47839 |
| 103 | SYCEastern Africa | 0.48316 |
| =104 | CPVWestern Africa | 0.48554 |
| =104 | CMRMiddle Africa | 0.48641 |
| =104 | MUSEastern Africa | 0.48589 |
| =107 | BOLSouth America | 0.48722 |
| =107 | SYRWestern Asia | 0.48723 |
| 109 | LBYNorthern Africa | 0.48815 |
| 110 | ECUSouth America | 0.48916 |
| 111 | HNDCentral America | 0.49040 |
| 112 | LBNWestern Asia | 0.49101 |
| 113 | ALBSouthern Europe | 0.49242 |
| 114 | GINWestern Africa | 0.49461 |
| =115 | CIVWestern Africa | 0.49576 |
| =115 | GTMCentral America | 0.49623 |
| =115 | KNACaribbean | 0.49554 |
| =118 | ATGCaribbean | 0.49735 |
| =118 | BHRWestern Asia | 0.49691 |
| 120 | MARNorthern Africa | 0.50204 |
| 121 | NRUMicronesia | 0.50264 |
| 122 | BLZCentral America | 0.50402 |
| 123 | EGYNorthern Africa | 0.50476 |
| =124 | FJIMelanesia | 0.50620 |
| =124 | NGAWestern Africa | 0.50580 |
| 126 | KENEastern Africa | 0.50982 |
| 127 | ZMBEastern Africa | 0.51397 |
| 128 | MOZEastern Africa | 0.51501 |
| =129 | IRQWestern Asia | 0.51573 |
| =129 | VNMSouth-eastern Asia | 0.51608 |
| 131 | PLWMicronesia | 0.51734 |
| =132 | AGOMiddle Africa | 0.51770 |
| =132 | ZWEEastern Africa | 0.51751 |
| 134 | BWASouthern Africa | 0.52199 |
| 135 | LSOSouthern Africa | 0.52474 |
| 136 | PRKEastern Asia | 0.52625 |
| =137 | KHMSouth-eastern Asia | 0.52854 |
| =137 | SWZSouthern Africa | 0.52855 |
| 139 | INDSouthern Asia | 0.53016 |
| 140 | MHLMicronesia | 0.53085 |
| 141 | GHAWestern Africa | 0.53358 |
| =142 | GUYSouth America | 0.53459 |
| =142 | TZAEastern Africa | 0.53493 |
| 144 | TGOWestern Africa | 0.53604 |
| 145 | WSMPolynesia | 0.53652 |
| 146 | LAOSouth-eastern Asia | 0.53999 |
| 147 | MMRSouth-eastern Asia | 0.54134 |
| 148 | SENWestern Africa | 0.54542 |
| 149 | PAKSouthern Asia | 0.54759 |
| 150 | COMEastern Africa | 0.55228 |
| 151 | HTICaribbean | 0.55403 |
| =152 | BFAWestern Africa | 0.55701 |
| =152 | PNGMelanesia | 0.55671 |
| 154 | TUVPolynesia | 0.55840 |
| 155 | UGAEastern Africa | 0.56152 |
| 156 | BTNSouthern Asia | 0.56423 |
| =157 | NAMSouthern Africa | 0.56657 |
| =157 | NPLSouthern Asia | 0.56655 |
| 159 | VUTMelanesia | 0.57009 |
| 160 | MDVSouthern Asia | 0.57084 |
| 161 | MDGEastern Africa | 0.57310 |
| 162 | STPMiddle Africa | 0.57424 |
| 163 | ETHEastern Africa | 0.57519 |
| 164 | BGDSouthern Asia | 0.57948 |
| =165 | CODMiddle Africa | 0.58121 |
| =165 | KIRMicronesia | 0.58149 |
| 167 | COGMiddle Africa | 0.58303 |
| 168 | CAFMiddle Africa | 0.58736 |
| 169 | GMBWestern Africa | 0.58826 |
| 170 | BENWestern Africa | 0.59228 |
| 171 | TLSSouth-eastern Asia | 0.59299 |
| 172 | NERWestern Africa | 0.59802 |
| 173 | YEMWestern Asia | 0.59893 |
| 174 | LBRWestern Africa | 0.59997 |
| 175 | MLIWestern Africa | 0.60508 |
| 176 | TONPolynesia | 0.60827 |
| 177 | SLEWestern Africa | 0.61109 |
| 178 | MWIEastern Africa | 0.61235 |
| 179 | DJIEastern Africa | 0.62093 |
| 180 | BDIEastern Africa | 0.62290 |
| 181 | SDNNorthern Africa | 0.62798 |
| 182 | RWAEastern Africa | 0.63543 |
| 183 | AFGSouthern Asia | 0.63651 |
| 184 | FSMMicronesia | 0.64434 |
| 185 | SLBMelanesia | 0.64794 |
| =186 | TCDMiddle Africa | 0.64877 |
| =186 | MRTWestern Africa | 0.64900 |
| 188 | ERIEastern Africa | 0.65294 |
| 189 | GNBWestern Africa | 0.65751 |
| 190 | SOMEastern Africa | 0.66574 |
02In 2005
At either end
The 5 countries at each end of the headline.
Highest
- #190
Somalia0.66574
- #189
Guinea-Bissau0.65751
- #188
Eritrea0.65294
- #186
Mauritania0.64900
- #186
Chad0.64877
Lowest
- #1
Norway0.26820
- #1
United Kingdom0.26834
- #3
Czechia0.29879
- #4
New Zealand0.30080
- #5
Canada0.31180
A higher value is the worse result. The middle country reads 0.47065. “Shared” marks a value another country also holds.
032004 → 2005
Since 2004
What changed between 2004 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 190values changed, of 190 in both
- 48 · 142rose · fell
- 0unchanged
Rose most
Central African Republic0.57302 → 0.58736+0.01434
Liberia0.59162 → 0.59997+0.00835
Guinea-Bissau0.65009 → 0.65751+0.00742
Djibouti0.61392 → 0.62093+0.00701
Guyana0.52877 → 0.53459+0.00582
Fell most
Mongolia0.45565 → 0.43854−0.01710
Nauru0.51861 → 0.50264−0.01597
Jordan0.45958 → 0.44542−0.01416
Antigua and Barbuda0.50971 → 0.49735−0.01236
Maldives0.58236 → 0.57084−0.01152
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 2005.
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-2005-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 (2005). Climate Vulnerability (ND-GAIN), 2005 [data set], describing 2005. As held by Nations Inquiry, https://nationsinquiry.com/datasets/climate-vulnerability/2005
0630 held
Other years
‹ The year before
Climate Vulnerability (ND-GAIN), 2004190 countries
The year after ›
Climate Vulnerability (ND-GAIN), 2006190 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), 2005: questions and answers
Which country has the highest climate vulnerability in Climate Vulnerability (ND-GAIN), 2005?
Somalia, at 0.66574, of the 190 countries in the file.
What year does Climate Vulnerability (ND-GAIN), 2005 describe?
2005.
How many countries does Climate Vulnerability (ND-GAIN), 2005 cover?
190.
Where can I download Climate Vulnerability (ND-GAIN), 2005?
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), 2005 the newest?
No. The newest held here is Climate Vulnerability (ND-GAIN), 2024.