Data for 2009
Climate Readiness (ND-GAIN), 2009
2009, as ND-GAIN’s 2026 release gives it · stored as published, never rewritten
ND-GAIN’s Readiness score measures how able a country is to turn investment into adaptation to climate change — through its economy, its governance and its social conditions — on a scale from 0 to 1, where higher is more ready. It is one of the two halves of the ND-GAIN Country Index.
Climate Readiness (ND-GAIN), 2009 covers 192 countries. New Zealand is highest, at 0.79944; Central African Republic is lowest, at 0.16969. The middle country reads 0.38812. Against 2008, 192 values changed (97 up, 95 down), the same countries are covered.
Climate Readiness (ND-GAIN) · Data for 2009
HighestNew Zealand
0.79944LowestCentral African Republic
0.16969Shaded 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), 2009, 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 | NZLAustralia and New Zealand | 0.79944 |
| 2 | DNKNorthern Europe | 0.79650 |
| 3 | FINNorthern Europe | 0.79061 |
| 4 | ISLNorthern Europe | 0.78786 |
| 5 | NORNorthern Europe | 0.78711 |
| 6 | SGPSouth-eastern Asia | 0.77219 |
| 7 | SWENorthern Europe | 0.76720 |
| 8 | CHEWestern Europe | 0.74678 |
| =9 | AUSAustralia and New Zealand | 0.72550 |
| =9 | DEUWestern Europe | 0.72588 |
| 11 | USANorthern America | 0.72228 |
| 12 | KOREastern Asia | 0.71643 |
| 13 | AUTWestern Europe | 0.71196 |
| 14 | NLDWestern Europe | 0.70440 |
| 15 | CANNorthern America | 0.70054 |
| 16 | JPNEastern Asia | 0.68885 |
| 17 | GBRNorthern Europe | 0.68334 |
| 18 | FRAWestern Europe | 0.67141 |
| 19 | SMRSouthern Europe | 0.65684 |
| 20 | LUXWestern Europe | 0.65353 |
| 21 | MCOWestern Europe | 0.64448 |
| 22 | ESTNorthern Europe | 0.64160 |
| 23 | LIEWestern Europe | 0.63451 |
| 24 | SVNSouthern Europe | 0.62779 |
| 25 | IRLNorthern Europe | 0.61995 |
| 26 | BELWestern Europe | 0.61021 |
| 27 | DMACaribbean | 0.59107 |
| 28 | NRUMicronesia | 0.58170 |
| 29 | LTUNorthern Europe | 0.58106 |
| 30 | LVANorthern Europe | 0.57903 |
| 31 | KNACaribbean | 0.56244 |
| 32 | HUNEastern Europe | 0.56086 |
| 33 | ISRWestern Asia | 0.55671 |
| 34 | PRTSouthern Europe | 0.55053 |
| 35 | CHLSouth America | 0.54793 |
| 36 | ESPSouthern Europe | 0.54679 |
| 37 | ITASouthern Europe | 0.53585 |
| 38 | SVKEastern Europe | 0.53354 |
| 39 | BRBCaribbean | 0.53216 |
| =40 | CYPWestern Asia | 0.53040 |
| =40 | CZEEastern Europe | 0.52953 |
| =40 | AREWestern Asia | 0.53006 |
| 43 | MLTSouthern Europe | 0.52676 |
| 44 | VCTCaribbean | 0.52267 |
| =45 | GRCSouthern Europe | 0.51998 |
| =45 | MUSEastern Africa | 0.52033 |
| =47 | ANDSouthern Europe | 0.51669 |
| =47 | QATWestern Asia | 0.51684 |
| 49 | ATGCaribbean | 0.50628 |
| 50 | POLEastern Europe | 0.50179 |
| 51 | LCACaribbean | 0.50144 |
| 52 | BRNSouth-eastern Asia | 0.49785 |
| 53 | HRVSouthern Europe | 0.49018 |
| 54 | ROUEastern Europe | 0.48618 |
| 55 | BHSCaribbean | 0.48436 |
| =56 | BHRWestern Asia | 0.48182 |
| =56 | GEOWestern Asia | 0.48192 |
| 58 | OMNWestern Asia | 0.48097 |
| 59 | PLWMicronesia | 0.48012 |
| 60 | MYSSouth-eastern Asia | 0.46657 |
| 61 | URYSouth America | 0.46573 |
| 62 | GRDCaribbean | 0.46512 |
| 63 | BGREastern Europe | 0.45807 |
| =64 | THASouth-eastern Asia | 0.45260 |
| =64 | TUNNorthern Africa | 0.45296 |
| 66 | MDVSouthern Asia | 0.45054 |
| 67 | ARMWestern Asia | 0.44729 |
| =68 | KAZCentral Asia | 0.44404 |
| =68 | MNESouthern Europe | 0.44364 |
| =70 | BLREastern Europe | 0.44079 |
| =70 | TURWestern Asia | 0.44060 |
| 72 | SYCEastern Africa | 0.43883 |
| 73 | RUSEastern Europe | 0.43751 |
| =74 | BTNSouthern Asia | 0.42948 |
| =74 | CRICentral America | 0.42870 |
| =74 | FJIMelanesia | 0.42899 |
| =74 | SAUWestern Asia | 0.42937 |
| 78 | KWTWestern Asia | 0.42579 |
| 79 | BWASouthern Africa | 0.42495 |
| 80 | JORWestern Asia | 0.42178 |
| 81 | MHLMicronesia | 0.41890 |
| 82 | MKDSouthern Europe | 0.41806 |
| =83 | CPVWestern Africa | 0.41666 |
| =83 | WSMPolynesia | 0.41727 |
| 85 | CHNEastern Asia | 0.41404 |
| 86 | TONPolynesia | 0.41111 |
| 87 | PANCentral America | 0.40733 |
| 88 | MNGEastern Asia | 0.39998 |
| 89 | VUTMelanesia | 0.39906 |
| 90 | NAMSouthern Africa | 0.39783 |
| 91 | SRBSouthern Europe | 0.39745 |
| 92 | SLBMelanesia | 0.39616 |
| 93 | TUVPolynesia | 0.39351 |
| =94 | MDAEastern Europe | 0.38996 |
| =94 | MARNorthern Africa | 0.39049 |
| =96 | AZEWestern Asia | 0.38808 |
| =96 | CUBCaribbean | 0.38816 |
| 98 | KIRMicronesia | 0.38615 |
| 99 | VNMSouth-eastern Asia | 0.38474 |
| 100 | FSMMicronesia | 0.38421 |
| =101 | ALBSouthern Europe | 0.38074 |
| =101 | SLVCentral America | 0.38087 |
| =101 | ZAFSouthern Africa | 0.38093 |
| 104 | BRASouth America | 0.37671 |
| 105 | BLZCentral America | 0.37621 |
| 106 | GHAWestern Africa | 0.37481 |
| 107 | DOMCaribbean | 0.37339 |
| =108 | PERSouth America | 0.37161 |
| =108 | TTOCaribbean | 0.37180 |
| =110 | ARGSouth America | 0.37047 |
| =110 | PRKEastern Asia | 0.37023 |
| =112 | JAMCaribbean | 0.36423 |
| =112 | MEXCentral America | 0.36360 |
| =114 | EGYNorthern Africa | 0.35996 |
| =114 | IRNSouthern Asia | 0.36042 |
| 116 | LKASouthern Asia | 0.35859 |
| 117 | TLSSouth-eastern Asia | 0.35491 |
| 118 | COLSouth America | 0.34534 |
| =119 | BIHSouthern Europe | 0.34423 |
| =119 | SURSouth America | 0.34400 |
| 121 | ZMBEastern Africa | 0.34202 |
| 122 | SYRWestern Asia | 0.34126 |
| 123 | RWAEastern Africa | 0.33944 |
| =124 | SWZSouthern Africa | 0.33820 |
| =124 | LBNWestern Asia | 0.33824 |
| 126 | PRYSouth America | 0.33700 |
| =127 | STPMiddle Africa | 0.33462 |
| =127 | YEMWestern Asia | 0.33545 |
| 129 | DJIEastern Africa | 0.33437 |
| 130 | NPLSouthern Asia | 0.33247 |
| =131 | IDNSouth-eastern Asia | 0.33033 |
| =131 | KGZCentral Asia | 0.32993 |
| 133 | GMBWestern Africa | 0.32859 |
| 134 | SENWestern Africa | 0.32785 |
| =135 | MLIWestern Africa | 0.32691 |
| =135 | UKREastern Europe | 0.32696 |
| 137 | MRTWestern Africa | 0.32584 |
| 138 | GUYSouth America | 0.32087 |
| 139 | TZAEastern Africa | 0.32049 |
| 140 | PHLSouth-eastern Asia | 0.31498 |
| =141 | ETHEastern Africa | 0.31404 |
| =141 | INDSouthern Asia | 0.31388 |
| 143 | ECUSouth America | 0.31271 |
| 144 | LSOSouthern Africa | 0.31079 |
| 145 | DZANorthern Africa | 0.30977 |
| =146 | BENWestern Africa | 0.30564 |
| =146 | HNDCentral America | 0.30647 |
| =148 | GABMiddle Africa | 0.30431 |
| =148 | PNGMelanesia | 0.30404 |
| 150 | NICCentral America | 0.30340 |
| 151 | GTMCentral America | 0.30242 |
| 152 | MWIEastern Africa | 0.30125 |
| 153 | BFAWestern Africa | 0.29978 |
| =154 | BOLSouth America | 0.29825 |
| =154 | LAOSouth-eastern Asia | 0.29759 |
| =154 | PAKSouthern Asia | 0.29755 |
| 157 | MOZEastern Africa | 0.29550 |
| 158 | NERWestern Africa | 0.29425 |
| 159 | UGAEastern Africa | 0.29345 |
| 160 | KHMSouth-eastern Asia | 0.29182 |
| =161 | COMEastern Africa | 0.29044 |
| =161 | LBYNorthern Africa | 0.29042 |
| 163 | MDGEastern Africa | 0.28863 |
| =164 | CMRMiddle Africa | 0.28063 |
| =164 | IRQWestern Asia | 0.28104 |
| 166 | KENEastern Africa | 0.27978 |
| 167 | LBRWestern Africa | 0.27851 |
| 168 | TGOWestern Africa | 0.27580 |
| 169 | GNQMiddle Africa | 0.27093 |
| 170 | TJKCentral Asia | 0.27033 |
| 171 | SLEWestern Africa | 0.26556 |
| 172 | SDNNorthern Africa | 0.26493 |
| =173 | BGDSouthern Asia | 0.26306 |
| =173 | UZBCentral Asia | 0.26288 |
| 175 | GNBWestern Africa | 0.26014 |
| =176 | GINWestern Africa | 0.25069 |
| =176 | HTICaribbean | 0.25134 |
| 178 | AFGSouthern Asia | 0.24876 |
| 179 | BDIEastern Africa | 0.24079 |
| =180 | COGMiddle Africa | 0.23894 |
| =180 | VENSouth America | 0.23918 |
| 182 | TKMCentral Asia | 0.23813 |
| 183 | NGAWestern Africa | 0.23735 |
| 184 | SOMEastern Africa | 0.23173 |
| 185 | ERIEastern Africa | 0.22772 |
| 186 | CIVWestern Africa | 0.22370 |
| 187 | AGOMiddle Africa | 0.21366 |
| 188 | TCDMiddle Africa | 0.19328 |
| 189 | CODMiddle Africa | 0.18169 |
| 190 | MMRSouth-eastern Asia | 0.17966 |
| 191 | ZWEEastern Africa | 0.17715 |
| 192 | CAFMiddle Africa | 0.16969 |
02In 2009
At either end
The 5 countries at each end of the headline.
Highest
- #1
New Zealand0.79944
- #2
Denmark0.79650
- #3
Finland0.79061
- #4
Iceland0.78786
- #5
Norway0.78711
Lowest
- #192
Central African Republic0.16969
- #191
Zimbabwe0.17715
- #190
Myanmar0.17966
- #189
DR Congo0.18169
- #188
Chad0.19328
A higher value is the better result. The middle country reads 0.38812. “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
- 192values changed, of 192 in both
- 97 · 95rose · fell
- 0unchanged
Rose most
Belarus0.40196 → 0.44079+0.03882
Azerbaijan0.35177 → 0.38808+0.03631
Nauru0.55574 → 0.58170+0.02596
Slovenia0.60416 → 0.62779+0.02363
Senegal0.30517 → 0.32785+0.02268
Fell most
Monaco0.72989 → 0.64448−0.08541
Iran0.39139 → 0.36042−0.03097
Russia0.45872 → 0.43751−0.02121
Moldova0.40977 → 0.38996−0.01981
Madagascar0.30742 → 0.28863−0.01879
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 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-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 Readiness (ND-GAIN), 2009 [data set], describing 2009. As held by Nations Inquiry, https://nationsinquiry.com/datasets/climate-readiness/2009
0630 held
Other years
‹ The year before
Climate Readiness (ND-GAIN), 2008192 countries
The year after ›
Climate Readiness (ND-GAIN), 2010192 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