Data for 2007
Climate Readiness (ND-GAIN), 2007
2007, as ND-GAIN’s 2026 release gives it · stored as published, never rewritten
Climate Readiness (ND-GAIN), 2007 covers 192 countries. Denmark is highest, at 0.80918; Central African Republic is lowest, at 0.17553. The middle country reads 0.39017. Against 2006, 192 values changed (86 up, 106 down), the same countries are covered.
Climate Readiness (ND-GAIN) · Data for 2007
HighestDenmark
0.80918LowestCentral African Republic
0.17553Shaded by value in five groups of equal size, darkest at the better end.
01ND-GAIN’s rank
The table
Every country and every column of Climate Readiness (ND-GAIN), 2007, as published. The rank is ND-GAIN’s own, as printed. “=” marks a shared position.
Showing 25 of 192 countries · select a heading to sort
| 1 | DNKNorthern Europe | 0.80918 |
| =2 | FINNorthern Europe | 0.79909 |
| =2 | NZLAustralia and New Zealand | 0.79878 |
| 4 | NORNorthern Europe | 0.79354 |
| 5 | ISLNorthern Europe | 0.79096 |
| 6 | SGPSouth-eastern Asia | 0.78526 |
| 7 | SWENorthern Europe | 0.77604 |
| 8 | CHEWestern Europe | 0.75954 |
| 9 | DEUWestern Europe | 0.74044 |
| 10 | AUSAustralia and New Zealand | 0.73680 |
| 11 | AUTWestern Europe | 0.73347 |
| =12 | MCOWestern Europe | 0.72716 |
| =12 | USANorthern America | 0.72685 |
| 14 | KOREastern Asia | 0.72381 |
| 15 | GBRNorthern Europe | 0.70300 |
| 16 | CANNorthern America | 0.70112 |
| 17 | NLDWestern Europe | 0.69623 |
| 18 | JPNEastern Asia | 0.68307 |
| 19 | FRAWestern Europe | 0.67294 |
| 20 | SMRSouthern Europe | 0.64129 |
| 21 | IRLNorthern Europe | 0.63791 |
| 22 | ESTNorthern Europe | 0.63441 |
| 23 | SVNSouthern Europe | 0.61588 |
| 24 | LUXWestern Europe | 0.60767 |
| 25 | LIEWestern Europe | 0.60669 |
| 26 | BELWestern Europe | 0.60315 |
| 27 | DMACaribbean | 0.59609 |
| 28 | LTUNorthern Europe | 0.58417 |
| 29 | ISRWestern Asia | 0.57271 |
| 30 | LVANorthern Europe | 0.56553 |
| 31 | ESPSouthern Europe | 0.56175 |
| 32 | HUNEastern Europe | 0.55691 |
| 33 | NRUMicronesia | 0.55599 |
| 34 | CHLSouth America | 0.55448 |
| 35 | ITASouthern Europe | 0.55338 |
| 36 | SVKEastern Europe | 0.54865 |
| 37 | KNACaribbean | 0.54012 |
| 38 | PRTSouthern Europe | 0.53618 |
| 39 | CZEEastern Europe | 0.53368 |
| 40 | BRBCaribbean | 0.53182 |
| 41 | AREWestern Asia | 0.52943 |
| 42 | GRCSouthern Europe | 0.52714 |
| 43 | MLTSouthern Europe | 0.52426 |
| 44 | CYPWestern Asia | 0.51740 |
| 45 | VCTCaribbean | 0.51415 |
| 46 | ANDSouthern Europe | 0.50946 |
| 47 | ATGCaribbean | 0.50761 |
| 48 | MUSEastern Africa | 0.50489 |
| 49 | HRVSouthern Europe | 0.50135 |
| 50 | BHSCaribbean | 0.49400 |
| 51 | QATWestern Asia | 0.49175 |
| 52 | LCACaribbean | 0.49125 |
| 53 | POLEastern Europe | 0.48730 |
| 54 | BRNSouth-eastern Asia | 0.48092 |
| 55 | OMNWestern Asia | 0.47411 |
| =56 | GRDCaribbean | 0.47152 |
| =56 | PLWMicronesia | 0.47236 |
| 58 | BHRWestern Asia | 0.47061 |
| 59 | GEOWestern Asia | 0.46839 |
| 60 | ROUEastern Europe | 0.46598 |
| =61 | BGREastern Europe | 0.46441 |
| =61 | MYSSouth-eastern Asia | 0.46419 |
| 63 | URYSouth America | 0.45941 |
| 64 | MDVSouthern Asia | 0.45364 |
| =65 | RUSEastern Europe | 0.45075 |
| =65 | TUNNorthern Africa | 0.45139 |
| 67 | ARMWestern Asia | 0.44836 |
| 68 | FJIMelanesia | 0.44595 |
| 69 | SYCEastern Africa | 0.44448 |
| 70 | THASouth-eastern Asia | 0.43315 |
| =71 | BTNSouthern Asia | 0.43203 |
| =71 | WSMPolynesia | 0.43231 |
| 73 | TURWestern Asia | 0.43099 |
| =74 | KAZCentral Asia | 0.43002 |
| =74 | KWTWestern Asia | 0.43049 |
| =76 | JORWestern Asia | 0.42677 |
| =76 | MNESouthern Europe | 0.42738 |
| =78 | BWASouthern Africa | 0.42213 |
| =78 | MDAEastern Europe | 0.42200 |
| =80 | CRICentral America | 0.41850 |
| =80 | MHLMicronesia | 0.41846 |
| =82 | CPVWestern Africa | 0.41344 |
| =82 | MKDSouthern Europe | 0.41288 |
| 84 | SAUWestern Asia | 0.40711 |
| 85 | FSMMicronesia | 0.40453 |
| =86 | PANCentral America | 0.40436 |
| =86 | SRBSouthern Europe | 0.40423 |
| =88 | KIRMicronesia | 0.40341 |
| =88 | MNGEastern Asia | 0.40267 |
| =90 | NAMSouthern Africa | 0.39941 |
| =90 | VUTMelanesia | 0.39907 |
| 92 | TONPolynesia | 0.39828 |
| =93 | SLBMelanesia | 0.39555 |
| =93 | TUVPolynesia | 0.39551 |
| 95 | VNMSouth-eastern Asia | 0.39170 |
| 96 | MARNorthern Africa | 0.39065 |
| 97 | ZAFSouthern Africa | 0.38970 |
| =98 | ARGSouth America | 0.38690 |
| =98 | CHNEastern Asia | 0.38703 |
| 100 | BLREastern Europe | 0.38350 |
| 101 | BLZCentral America | 0.38060 |
| 102 | PERSouth America | 0.37971 |
| =103 | CUBCaribbean | 0.37751 |
| =103 | PRKEastern Asia | 0.37785 |
| =103 | TTOCaribbean | 0.37813 |
| 106 | MEXCentral America | 0.37452 |
| 107 | IRNSouthern Asia | 0.37443 |
| 108 | JAMCaribbean | 0.36902 |
| 109 | SLVCentral America | 0.36759 |
| 110 | BRASouth America | 0.36505 |
| 111 | GHAWestern Africa | 0.36297 |
| 112 | AZEWestern Asia | 0.36005 |
| 113 | LKASouthern Asia | 0.35949 |
| 114 | ALBSouthern Europe | 0.35544 |
| =115 | DOMCaribbean | 0.34700 |
| =115 | SURSouth America | 0.34738 |
| 117 | BIHSouthern Europe | 0.34459 |
| 118 | UKREastern Europe | 0.34418 |
| 119 | GMBWestern Africa | 0.34300 |
| 120 | SWZSouthern Africa | 0.34186 |
| =121 | MRTWestern Africa | 0.34091 |
| =121 | NPLSouthern Asia | 0.34074 |
| =121 | ZMBEastern Africa | 0.34132 |
| =124 | EGYNorthern Africa | 0.33359 |
| =124 | PHLSouth-eastern Asia | 0.33417 |
| 126 | STPMiddle Africa | 0.33349 |
| 127 | BENWestern Africa | 0.33199 |
| 128 | MLIWestern Africa | 0.33010 |
| 129 | GUYSouth America | 0.32949 |
| =130 | SYRWestern Asia | 0.32772 |
| =130 | TLSSouth-eastern Asia | 0.32843 |
| 132 | KGZCentral Asia | 0.32666 |
| 133 | YEMWestern Asia | 0.32567 |
| 134 | ETHEastern Africa | 0.32493 |
| =135 | GABMiddle Africa | 0.32406 |
| =135 | LBNWestern Asia | 0.32392 |
| =135 | NICCentral America | 0.32423 |
| =135 | TZAEastern Africa | 0.32401 |
| 139 | DJIEastern Africa | 0.32331 |
| =140 | DZANorthern Africa | 0.32173 |
| =140 | COLSouth America | 0.32193 |
| 142 | INDSouthern Asia | 0.31990 |
| =143 | IDNSouth-eastern Asia | 0.31890 |
| =143 | PRYSouth America | 0.31933 |
| 145 | PNGMelanesia | 0.31724 |
| 146 | ECUSouth America | 0.31469 |
| 147 | MDGEastern Africa | 0.31200 |
| 148 | PAKSouthern Asia | 0.31053 |
| =149 | MWIEastern Africa | 0.31017 |
| =149 | SENWestern Africa | 0.31021 |
| 151 | RWAEastern Africa | 0.30825 |
| =152 | GTMCentral America | 0.30521 |
| =152 | NERWestern Africa | 0.30474 |
| =154 | BOLSouth America | 0.30425 |
| =154 | COMEastern Africa | 0.30364 |
| 156 | MOZEastern Africa | 0.30326 |
| 157 | HNDCentral America | 0.30163 |
| 158 | UGAEastern Africa | 0.30088 |
| 159 | LSOSouthern Africa | 0.29821 |
| 160 | LAOSouth-eastern Asia | 0.29569 |
| 161 | KHMSouth-eastern Asia | 0.29253 |
| 162 | CMRMiddle Africa | 0.29218 |
| 163 | LBYNorthern Africa | 0.29112 |
| 164 | BFAWestern Africa | 0.28753 |
| 165 | KENEastern Africa | 0.28687 |
| 166 | TGOWestern Africa | 0.28379 |
| 167 | IRQWestern Asia | 0.28241 |
| 168 | GNQMiddle Africa | 0.27902 |
| 169 | TJKCentral Asia | 0.27732 |
| 170 | GNBWestern Africa | 0.27526 |
| 171 | SDNNorthern Africa | 0.26922 |
| 172 | LBRWestern Africa | 0.26831 |
| 173 | UZBCentral Asia | 0.26507 |
| 174 | BGDSouthern Asia | 0.26384 |
| 175 | AFGSouthern Asia | 0.25895 |
| 176 | SLEWestern Africa | 0.25595 |
| 177 | BDIEastern Africa | 0.25240 |
| =178 | GINWestern Africa | 0.24802 |
| =178 | HTICaribbean | 0.24838 |
| 180 | VENSouth America | 0.24677 |
| 181 | COGMiddle Africa | 0.24052 |
| 182 | ERIEastern Africa | 0.23654 |
| 183 | NGAWestern Africa | 0.23616 |
| 184 | TKMCentral Asia | 0.23038 |
| 185 | SOMEastern Africa | 0.22298 |
| 186 | CIVWestern Africa | 0.21504 |
| 187 | ZWEEastern Africa | 0.20833 |
| 188 | AGOMiddle Africa | 0.20672 |
| 189 | TCDMiddle Africa | 0.19735 |
| 190 | CODMiddle Africa | 0.18315 |
| 191 | MMRSouth-eastern Asia | 0.18119 |
| 192 | CAFMiddle Africa | 0.17553 |
02In 2007
At either end
The 5 countries at each end of the headline.
Highest
- #1
Denmark0.80918
- #2
Finland0.79909
- #2
New Zealand0.79878
- #4
Norway0.79354
- #5
Iceland0.79096
Lowest
- #192
Central African Republic0.17553
- #191
Myanmar0.18119
- #190
DR Congo0.18315
- #189
Chad0.19735
- #188
Angola0.20672
A higher value is the better result. The middle country reads 0.39017. “Shared” marks a value another country also holds.
032006 → 2007
Since 2006
What changed between 2006 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 192values changed, of 192 in both
- 86 · 106rose · fell
- 0unchanged
Rose most
Georgia0.41505 → 0.46839+0.05334
North Macedonia0.38846 → 0.41288+0.02442
Iceland0.76790 → 0.79096+0.02306
Monaco0.70578 → 0.72716+0.02138
Cuba0.35740 → 0.37751+0.02012
Fell most
Guinea0.26502 → 0.24802−0.01699
Maldives0.47018 → 0.45364−0.01655
Comoros0.31870 → 0.30364−0.01505
Saint Kitts and Nevis0.55279 → 0.54012−0.01267
Kenya0.29919 → 0.28687−0.01232
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 2007.
The rank is ND-GAIN’s
Printed as the publisher ranked the countries; never re-ranked here.
Nothing missing
Every one of the 192 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
192 rows · 8.1 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download climate-readiness-2007-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 (2007). Climate Readiness (ND-GAIN), 2007 [data set], describing 2007. As held by Nations Inquiry, https://nationsinquiry.com/datasets/climate-readiness/2007
0630 held
Other years
‹ The year before
Climate Readiness (ND-GAIN), 2006192 countries
The year after ›
Climate Readiness (ND-GAIN), 2008192 countries
All of them
Climate Readiness (ND-GAIN): every year30 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Climate Readiness (ND-GAIN), 2007: questions and answers
Which country has the highest climate adaptation readiness in Climate Readiness (ND-GAIN), 2007?
Denmark, at 0.80918, of the 192 countries in the file.
What year does Climate Readiness (ND-GAIN), 2007 describe?
2007.
How many countries does Climate Readiness (ND-GAIN), 2007 cover?
192.
Where can I download Climate Readiness (ND-GAIN), 2007?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Climate Readiness (ND-GAIN), 2007 the newest?
No. The newest held here is Climate Readiness (ND-GAIN), 2024.