Data for 2008
Climate Readiness (ND-GAIN), 2008
2008, as ND-GAIN’s 2026 release gives it · stored as published, never rewritten
Climate Readiness (ND-GAIN), 2008 covers 192 countries. Denmark is highest, at 0.80267; Central African Republic is lowest, at 0.16478. The middle country reads 0.38801. Against 2007, 192 values changed (79 up, 113 down), the same countries are covered.
Climate Readiness (ND-GAIN) · Data for 2008
HighestDenmark
0.80267LowestCentral African Republic
0.16478Shaded 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), 2008, 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 | 0.80267 |
| 2 | FINNorthern Europe | 0.79783 |
| 3 | NZLAustralia and New Zealand | 0.79671 |
| 4 | NORNorthern Europe | 0.79225 |
| 5 | SGPSouth-eastern Asia | 0.78955 |
| 6 | SWENorthern Europe | 0.77215 |
| 7 | ISLNorthern Europe | 0.76958 |
| 8 | CHEWestern Europe | 0.75643 |
| 9 | AUSAustralia and New Zealand | 0.73958 |
| 10 | DEUWestern Europe | 0.73058 |
| 11 | MCOWestern Europe | 0.72989 |
| 12 | USANorthern America | 0.72817 |
| 13 | AUTWestern Europe | 0.72667 |
| 14 | KOREastern Asia | 0.71518 |
| 15 | NLDWestern Europe | 0.70683 |
| 16 | CANNorthern America | 0.70031 |
| 17 | GBRNorthern Europe | 0.69408 |
| 18 | JPNEastern Asia | 0.67870 |
| 19 | FRAWestern Europe | 0.67182 |
| 20 | SMRSouthern Europe | 0.64780 |
| 21 | ESTNorthern Europe | 0.64418 |
| 22 | LUXWestern Europe | 0.64192 |
| 23 | IRLNorthern Europe | 0.63032 |
| 24 | LIEWestern Europe | 0.61528 |
| =25 | BELWestern Europe | 0.60423 |
| =25 | SVNSouthern Europe | 0.60416 |
| 27 | DMACaribbean | 0.59185 |
| 28 | LTUNorthern Europe | 0.58320 |
| 29 | LVANorthern Europe | 0.57394 |
| 30 | ISRWestern Asia | 0.57264 |
| 31 | ESPSouthern Europe | 0.55860 |
| 32 | NRUMicronesia | 0.55574 |
| =33 | CHLSouth America | 0.55296 |
| =33 | HUNEastern Europe | 0.55299 |
| 35 | PRTSouthern Europe | 0.54745 |
| 36 | KNACaribbean | 0.54099 |
| 37 | ITASouthern Europe | 0.54035 |
| 38 | SVKEastern Europe | 0.53922 |
| =39 | BRBCaribbean | 0.53481 |
| =39 | CZEEastern Europe | 0.53526 |
| 41 | MLTSouthern Europe | 0.53306 |
| 42 | CYPWestern Asia | 0.53151 |
| 43 | AREWestern Asia | 0.52906 |
| 44 | MUSEastern Africa | 0.52331 |
| 45 | GRCSouthern Europe | 0.51749 |
| 46 | VCTCaribbean | 0.51574 |
| 47 | ANDSouthern Europe | 0.51085 |
| 48 | ATGCaribbean | 0.50532 |
| 49 | QATWestern Asia | 0.50124 |
| 50 | HRVSouthern Europe | 0.49741 |
| =51 | BHSCaribbean | 0.49485 |
| =51 | POLEastern Europe | 0.49535 |
| 53 | LCACaribbean | 0.49298 |
| 54 | ROUEastern Europe | 0.47947 |
| 55 | BRNSouth-eastern Asia | 0.47791 |
| 56 | BHRWestern Asia | 0.47646 |
| 57 | OMNWestern Asia | 0.47376 |
| 58 | PLWMicronesia | 0.47311 |
| 59 | GEOWestern Asia | 0.47070 |
| 60 | GRDCaribbean | 0.46657 |
| 61 | BGREastern Europe | 0.45986 |
| =62 | ARMWestern Asia | 0.45911 |
| =62 | MYSSouth-eastern Asia | 0.45878 |
| =62 | RUSEastern Europe | 0.45872 |
| 65 | URYSouth America | 0.45710 |
| 66 | TUNNorthern Africa | 0.44927 |
| 67 | MDVSouthern Asia | 0.44672 |
| 68 | FJIMelanesia | 0.44101 |
| 69 | BTNSouthern Asia | 0.43923 |
| 70 | MNESouthern Europe | 0.43766 |
| 71 | TURWestern Asia | 0.43651 |
| 72 | SYCEastern Africa | 0.43499 |
| =73 | SAUWestern Asia | 0.43392 |
| =73 | THASouth-eastern Asia | 0.43381 |
| 75 | JORWestern Asia | 0.43220 |
| 76 | KAZCentral Asia | 0.43058 |
| 77 | KWTWestern Asia | 0.42692 |
| 78 | WSMPolynesia | 0.42526 |
| 79 | CRICentral America | 0.42403 |
| 80 | BWASouthern Africa | 0.42320 |
| 81 | CPVWestern Africa | 0.41441 |
| 82 | MHLMicronesia | 0.41317 |
| 83 | MDAEastern Europe | 0.40977 |
| 84 | PANCentral America | 0.40865 |
| 85 | MKDSouthern Europe | 0.40702 |
| 86 | NAMSouthern Africa | 0.40496 |
| 87 | SRBSouthern Europe | 0.40309 |
| =88 | BLREastern Europe | 0.40196 |
| =88 | TONPolynesia | 0.40189 |
| 90 | CHNEastern Asia | 0.39975 |
| 91 | SLBMelanesia | 0.39418 |
| 92 | CUBCaribbean | 0.39174 |
| =93 | IRNSouthern Asia | 0.39139 |
| =93 | MNGEastern Asia | 0.39130 |
| =93 | VUTMelanesia | 0.39092 |
| =96 | MARNorthern Africa | 0.38789 |
| =96 | TUVPolynesia | 0.38767 |
| =96 | VNMSouth-eastern Asia | 0.38813 |
| 99 | KIRMicronesia | 0.38562 |
| 100 | FSMMicronesia | 0.38349 |
| 101 | PERSouth America | 0.37992 |
| =102 | BLZCentral America | 0.37948 |
| =102 | ZAFSouthern Africa | 0.37872 |
| 104 | ARGSouth America | 0.37536 |
| =105 | PRKEastern Asia | 0.37351 |
| =105 | TTOCaribbean | 0.37440 |
| 107 | SLVCentral America | 0.37188 |
| 108 | GHAWestern Africa | 0.36833 |
| =109 | BRASouth America | 0.36699 |
| =109 | MEXCentral America | 0.36694 |
| 111 | JAMCaribbean | 0.36528 |
| 112 | ALBSouthern Europe | 0.36199 |
| 113 | DOMCaribbean | 0.35587 |
| 114 | LKASouthern Asia | 0.35509 |
| 115 | EGYNorthern Africa | 0.35449 |
| 116 | AZEWestern Asia | 0.35177 |
| 117 | SURSouth America | 0.34853 |
| 118 | BIHSouthern Europe | 0.34571 |
| 119 | TLSSouth-eastern Asia | 0.34489 |
| 120 | SWZSouthern Africa | 0.34194 |
| 121 | ZMBEastern Africa | 0.34050 |
| 122 | PRYSouth America | 0.33898 |
| 123 | UKREastern Europe | 0.33649 |
| 124 | IDNSouth-eastern Asia | 0.33387 |
| =125 | DJIEastern Africa | 0.33316 |
| =125 | STPMiddle Africa | 0.33278 |
| =127 | COLSouth America | 0.33205 |
| =127 | NPLSouthern Asia | 0.33238 |
| 129 | GMBWestern Africa | 0.33134 |
| 130 | LBNWestern Asia | 0.32904 |
| 131 | MLIWestern Africa | 0.32785 |
| 132 | GUYSouth America | 0.32585 |
| =133 | BENWestern Africa | 0.32145 |
| =133 | PHLSouth-eastern Asia | 0.32069 |
| =133 | RWAEastern Africa | 0.32112 |
| =133 | SYRWestern Asia | 0.32147 |
| 137 | INDSouthern Asia | 0.32004 |
| =138 | DZANorthern Africa | 0.31856 |
| =138 | TZAEastern Africa | 0.31874 |
| 140 | KGZCentral Asia | 0.31767 |
| 141 | GABMiddle Africa | 0.31592 |
| =142 | ETHEastern Africa | 0.31505 |
| =142 | YEMWestern Asia | 0.31547 |
| 144 | MRTWestern Africa | 0.31397 |
| 145 | NICCentral America | 0.31261 |
| 146 | ECUSouth America | 0.31081 |
| 147 | PNGMelanesia | 0.31013 |
| =148 | GTMCentral America | 0.30706 |
| =148 | MDGEastern Africa | 0.30742 |
| 150 | SENWestern Africa | 0.30517 |
| =151 | HNDCentral America | 0.30168 |
| =151 | MWIEastern Africa | 0.30234 |
| =151 | MOZEastern Africa | 0.30180 |
| =151 | NERWestern Africa | 0.30163 |
| 155 | LSOSouthern Africa | 0.30117 |
| 156 | UGAEastern Africa | 0.30006 |
| 157 | LAOSouth-eastern Asia | 0.29941 |
| =158 | BOLSouth America | 0.29744 |
| =158 | LBYNorthern Africa | 0.29666 |
| 160 | PAKSouthern Asia | 0.29552 |
| 161 | KHMSouth-eastern Asia | 0.29354 |
| 162 | COMEastern Africa | 0.29020 |
| 163 | BFAWestern Africa | 0.28876 |
| 164 | CMRMiddle Africa | 0.28627 |
| 165 | IRQWestern Asia | 0.28338 |
| =166 | KENEastern Africa | 0.27992 |
| =166 | TGOWestern Africa | 0.28030 |
| 168 | TJKCentral Asia | 0.27334 |
| 169 | GNQMiddle Africa | 0.26966 |
| 170 | UZBCentral Asia | 0.26743 |
| 171 | SDNNorthern Africa | 0.26506 |
| =172 | BGDSouthern Asia | 0.26337 |
| =172 | GNBWestern Africa | 0.26340 |
| =172 | LBRWestern Africa | 0.26317 |
| 175 | HTICaribbean | 0.25220 |
| 176 | GINWestern Africa | 0.25012 |
| =177 | AFGSouthern Asia | 0.24749 |
| =177 | SLEWestern Africa | 0.24666 |
| 179 | VENSouth America | 0.24546 |
| 180 | BDIEastern Africa | 0.24449 |
| 181 | TKMCentral Asia | 0.23794 |
| 182 | NGAWestern Africa | 0.23688 |
| 183 | COGMiddle Africa | 0.23501 |
| 184 | ERIEastern Africa | 0.23017 |
| 185 | SOMEastern Africa | 0.22272 |
| 186 | CIVWestern Africa | 0.21290 |
| 187 | AGOMiddle Africa | 0.20955 |
| 188 | TCDMiddle Africa | 0.18424 |
| 189 | ZWEEastern Africa | 0.18313 |
| =190 | CODMiddle Africa | 0.18008 |
| =190 | MMRSouth-eastern Asia | 0.18032 |
| 192 | CAFMiddle Africa | 0.16478 |
02In 2008
At either end
The 5 countries at each end of the headline.
Highest
- #1
Denmark0.80267
- #2
Finland0.79783
- #3
New Zealand0.79671
- #4
Norway0.79225
- #5
Singapore0.78955
Lowest
- #192
Central African Republic0.16478
- #190
DR Congo0.18008
- #190
Myanmar0.18032
- #189
Zimbabwe0.18313
- #188
Chad0.18424
A higher value is the better result. The middle country reads 0.38801. “Shared” marks a value another country also holds.
032007 → 2008
Since 2007
What changed between 2007 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 192values changed, of 192 in both
- 79 · 113rose · fell
- 0unchanged
Rose most
Luxembourg0.60767 → 0.64192+0.03425
Saudi Arabia0.40711 → 0.43392+0.02682
Egypt0.33359 → 0.35449+0.02090
Paraguay0.31933 → 0.33898+0.01964
Belarus0.38350 → 0.40196+0.01847
Fell most
Mauritania0.34091 → 0.31397−0.02694
Zimbabwe0.20833 → 0.18313−0.02519
Iceland0.79096 → 0.76958−0.02138
Micronesia0.40453 → 0.38349−0.02104
Kiribati0.40341 → 0.38562−0.01779
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 2008.
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-2008-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 (2008). Climate Readiness (ND-GAIN), 2008 [data set], describing 2008. As held by Nations Inquiry, https://nationsinquiry.com/datasets/climate-readiness/2008
0630 held
Other years
‹ The year before
Climate Readiness (ND-GAIN), 2007192 countries
The year after ›
Climate Readiness (ND-GAIN), 2009192 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), 2008: questions and answers
Which country has the highest climate adaptation readiness in Climate Readiness (ND-GAIN), 2008?
Denmark, at 0.80267, of the 192 countries in the file.
What year does Climate Readiness (ND-GAIN), 2008 describe?
2008.
How many countries does Climate Readiness (ND-GAIN), 2008 cover?
192.
Where can I download Climate Readiness (ND-GAIN), 2008?
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), 2008 the newest?
No. The newest held here is Climate Readiness (ND-GAIN), 2024.