Data for 2005
Climate Readiness (ND-GAIN), 2005
2005, as ND-GAIN’s 2026 release gives it · stored as published, never rewritten
Climate Readiness (ND-GAIN), 2005 covers 192 countries. Denmark is highest, at 0.79936; Myanmar is lowest, at 0.17578. The middle country reads 0.38774. Against 2004, 192 values changed (127 up, 65 down), the same countries are covered.
Climate Readiness (ND-GAIN) · Data for 2005
HighestDenmark
0.79936LowestMyanmar
0.17578Shaded 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), 2005, 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 | 0.79936 |
| 2 | FINNorthern Europe | 0.79839 |
| 3 | NORNorthern Europe | 0.79075 |
| 4 | NZLAustralia and New Zealand | 0.79012 |
| 5 | SWENorthern Europe | 0.77708 |
| 6 | ISLNorthern Europe | 0.77516 |
| 7 | SGPSouth-eastern Asia | 0.76577 |
| 8 | CHEWestern Europe | 0.75046 |
| 9 | DEUWestern Europe | 0.73977 |
| 10 | USANorthern America | 0.73104 |
| =11 | AUSAustralia and New Zealand | 0.72746 |
| =11 | AUTWestern Europe | 0.72744 |
| 13 | KOREastern Asia | 0.71286 |
| 14 | GBRNorthern Europe | 0.70858 |
| 15 | CANNorthern America | 0.69998 |
| 16 | NLDWestern Europe | 0.69214 |
| 17 | JPNEastern Asia | 0.68703 |
| 18 | FRAWestern Europe | 0.65801 |
| 19 | SMRSouthern Europe | 0.63939 |
| 20 | IRLNorthern Europe | 0.63109 |
| 21 | SVNSouthern Europe | 0.61613 |
| 22 | ESTNorthern Europe | 0.61337 |
| 23 | BELWestern Europe | 0.60609 |
| 24 | LUXWestern Europe | 0.59967 |
| 25 | MCOWestern Europe | 0.59893 |
| 26 | DMACaribbean | 0.59843 |
| 27 | LIEWestern Europe | 0.58562 |
| 28 | LTUNorthern Europe | 0.57789 |
| 29 | ISRWestern Asia | 0.57380 |
| 30 | ESPSouthern Europe | 0.56953 |
| 31 | NRUMicronesia | 0.56569 |
| 32 | HUNEastern Europe | 0.56281 |
| 33 | ITASouthern Europe | 0.56092 |
| 34 | CHLSouth America | 0.55649 |
| 35 | LVANorthern Europe | 0.55041 |
| 36 | KNACaribbean | 0.54741 |
| 37 | PRTSouthern Europe | 0.53174 |
| 38 | CZEEastern Europe | 0.52980 |
| 39 | BRBCaribbean | 0.52558 |
| 40 | SVKEastern Europe | 0.52451 |
| 41 | GRCSouthern Europe | 0.52415 |
| =42 | VCTCaribbean | 0.52343 |
| =42 | AREWestern Asia | 0.52256 |
| 44 | MLTSouthern Europe | 0.51836 |
| 45 | CYPWestern Asia | 0.50988 |
| =46 | HRVSouthern Europe | 0.50739 |
| =46 | MUSEastern Africa | 0.50715 |
| =48 | ATGCaribbean | 0.50223 |
| =48 | LCACaribbean | 0.50221 |
| 50 | BHSCaribbean | 0.49876 |
| 51 | POLEastern Europe | 0.48369 |
| 52 | GRDCaribbean | 0.48245 |
| =53 | ANDSouthern Europe | 0.47998 |
| =53 | OMNWestern Asia | 0.47990 |
| =55 | MYSSouth-eastern Asia | 0.47950 |
| =55 | QATWestern Asia | 0.47872 |
| 57 | PLWMicronesia | 0.47760 |
| 58 | BRNSouth-eastern Asia | 0.47458 |
| 59 | MDVSouthern Asia | 0.46852 |
| 60 | BGREastern Europe | 0.46724 |
| 61 | BHRWestern Asia | 0.46477 |
| =62 | ARMWestern Asia | 0.44604 |
| =62 | WSMPolynesia | 0.44644 |
| =62 | THASouth-eastern Asia | 0.44596 |
| 65 | SYCEastern Africa | 0.44522 |
| 66 | TUNNorthern Africa | 0.44179 |
| =67 | FJIMelanesia | 0.44116 |
| =67 | URYSouth America | 0.44088 |
| 69 | BWASouthern Africa | 0.43716 |
| 70 | MHLMicronesia | 0.43621 |
| =71 | BTNSouthern Asia | 0.43471 |
| =71 | KWTWestern Asia | 0.43493 |
| 73 | ROUEastern Europe | 0.43264 |
| =74 | RUSEastern Europe | 0.43097 |
| =74 | SLBMelanesia | 0.43114 |
| 76 | MNESouthern Europe | 0.42806 |
| 77 | CRICentral America | 0.42706 |
| 78 | JORWestern Asia | 0.42597 |
| 79 | KAZCentral Asia | 0.42321 |
| 80 | FSMMicronesia | 0.42214 |
| 81 | TURWestern Asia | 0.42075 |
| 82 | MDAEastern Europe | 0.41827 |
| =83 | KIRMicronesia | 0.41688 |
| =83 | MNGEastern Asia | 0.41718 |
| =83 | VUTMelanesia | 0.41693 |
| =86 | SAUWestern Asia | 0.40725 |
| =86 | TUVPolynesia | 0.40672 |
| 88 | PANCentral America | 0.40626 |
| 89 | CPVWestern Africa | 0.40457 |
| 90 | TONPolynesia | 0.40347 |
| 91 | ZAFSouthern Africa | 0.39924 |
| 92 | NAMSouthern Africa | 0.39559 |
| 93 | GEOWestern Asia | 0.39501 |
| 94 | BLREastern Europe | 0.39365 |
| 95 | BLZCentral America | 0.39225 |
| 96 | VNMSouth-eastern Asia | 0.38956 |
| =97 | MKDSouthern Europe | 0.38592 |
| =97 | TTOCaribbean | 0.38578 |
| 99 | PERSouth America | 0.38518 |
| =100 | ARGSouth America | 0.38053 |
| =100 | MARNorthern Africa | 0.38076 |
| 102 | PRKEastern Asia | 0.38042 |
| =103 | BRASouth America | 0.37615 |
| =103 | MEXCentral America | 0.37581 |
| 105 | AZEWestern Asia | 0.37501 |
| 106 | LKASouthern Asia | 0.37314 |
| 107 | SLVCentral America | 0.37073 |
| 108 | JAMCaribbean | 0.36790 |
| 109 | TLSSouth-eastern Asia | 0.36729 |
| 110 | CHNEastern Asia | 0.36456 |
| 111 | SURSouth America | 0.35952 |
| =112 | GHAWestern Africa | 0.35590 |
| =112 | LBNWestern Asia | 0.35648 |
| 114 | PHLSouth-eastern Asia | 0.35349 |
| 115 | BIHSouthern Europe | 0.35085 |
| =116 | STPMiddle Africa | 0.34870 |
| =116 | SRBSouthern Europe | 0.34914 |
| =118 | GUYSouth America | 0.34809 |
| =118 | IRNSouthern Asia | 0.34785 |
| =120 | ALBSouthern Europe | 0.34232 |
| =120 | MRTWestern Africa | 0.34237 |
| =122 | DOMCaribbean | 0.34059 |
| =122 | GMBWestern Africa | 0.34136 |
| =124 | SYRWestern Asia | 0.33984 |
| =124 | ZMBEastern Africa | 0.34029 |
| 126 | UKREastern Europe | 0.33850 |
| 127 | GABMiddle Africa | 0.33662 |
| =128 | BENWestern Africa | 0.33642 |
| =128 | NPLSouthern Asia | 0.33560 |
| 130 | NICCentral America | 0.33517 |
| 131 | SWZSouthern Africa | 0.33298 |
| 132 | MLIWestern Africa | 0.33175 |
| =133 | INDSouthern Asia | 0.33003 |
| =133 | SENWestern Africa | 0.32957 |
| 135 | COLSouth America | 0.32820 |
| =136 | DZANorthern Africa | 0.32603 |
| =136 | EGYNorthern Africa | 0.32592 |
| =136 | MWIEastern Africa | 0.32627 |
| 139 | ETHEastern Africa | 0.32508 |
| =140 | TZAEastern Africa | 0.32197 |
| =140 | YEMWestern Asia | 0.32180 |
| 142 | ECUSouth America | 0.31707 |
| =143 | PNGMelanesia | 0.31620 |
| =143 | PRYSouth America | 0.31597 |
| 145 | KGZCentral Asia | 0.31418 |
| 146 | DJIEastern Africa | 0.31344 |
| =147 | LSOSouthern Africa | 0.31191 |
| =147 | MDGEastern Africa | 0.31188 |
| =147 | PAKSouthern Asia | 0.31162 |
| 150 | BOLSouth America | 0.31069 |
| 151 | IDNSouth-eastern Asia | 0.30992 |
| 152 | COMEastern Africa | 0.30810 |
| =153 | GTMCentral America | 0.30666 |
| =153 | KENEastern Africa | 0.30698 |
| 155 | MOZEastern Africa | 0.30629 |
| =156 | KHMSouth-eastern Asia | 0.30542 |
| =156 | CUBCaribbean | 0.30550 |
| =158 | HNDCentral America | 0.30210 |
| =158 | IRQWestern Asia | 0.30209 |
| =160 | LAOSouth-eastern Asia | 0.30017 |
| =160 | UGAEastern Africa | 0.30029 |
| 162 | CMRMiddle Africa | 0.29825 |
| 163 | RWAEastern Africa | 0.29711 |
| 164 | GINWestern Africa | 0.28892 |
| 165 | BFAWestern Africa | 0.28464 |
| 166 | NERWestern Africa | 0.28438 |
| 167 | LBYNorthern Africa | 0.27990 |
| 168 | GNBWestern Africa | 0.27589 |
| 169 | AFGSouthern Asia | 0.27381 |
| 170 | TGOWestern Africa | 0.27232 |
| 171 | TJKCentral Asia | 0.27077 |
| 172 | SDNNorthern Africa | 0.26861 |
| =173 | BGDSouthern Asia | 0.26634 |
| =173 | GNQMiddle Africa | 0.26632 |
| 175 | SLEWestern Africa | 0.26257 |
| 176 | ERIEastern Africa | 0.26188 |
| 177 | VENSouth America | 0.25767 |
| 178 | BDIEastern Africa | 0.25443 |
| 179 | UZBCentral Asia | 0.25090 |
| 180 | LBRWestern Africa | 0.24418 |
| 181 | COGMiddle Africa | 0.24142 |
| 182 | SOMEastern Africa | 0.23998 |
| 183 | HTICaribbean | 0.23845 |
| 184 | NGAWestern Africa | 0.22655 |
| 185 | TKMCentral Asia | 0.22105 |
| =186 | TCDMiddle Africa | 0.21712 |
| =186 | ZWEEastern Africa | 0.21691 |
| 188 | AGOMiddle Africa | 0.20634 |
| 189 | CIVWestern Africa | 0.20542 |
| 190 | CAFMiddle Africa | 0.19984 |
| 191 | CODMiddle Africa | 0.19777 |
| 192 | MMRSouth-eastern Asia | 0.17578 |
02In 2005
At either end
The 5 countries at each end of the headline.
Highest
- #1
Denmark0.79936
- #2
Finland0.79839
- #3
Norway0.79075
- #4
New Zealand0.79012
- #5
Sweden0.77708
Lowest
- #192
Myanmar0.17578
- #191
DR Congo0.19777
- #190
Central African Republic0.19984
- #189
Côte d’Ivoire0.20542
- #188
Angola0.20634
A higher value is the better result. The middle country reads 0.38774. “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
- 192values changed, of 192 in both
- 127 · 65rose · fell
- 0unchanged
Rose most
Saint Kitts and Nevis0.50265 → 0.54741+0.04476
Andorra0.43883 → 0.47998+0.04115
Saint Vincent and the Grenadines0.49155 → 0.52343+0.03187
Liechtenstein0.55672 → 0.58562+0.02890
Saint Lucia0.47372 → 0.50221+0.02849
Fell most
Monaco0.69983 → 0.59893−0.10089
Kyrgyzstan0.34003 → 0.31418−0.02584
Bolivia0.33311 → 0.31069−0.02242
Togo0.29453 → 0.27232−0.02221
Tonga0.42325 → 0.40347−0.01978
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 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-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 Readiness (ND-GAIN), 2005 [data set], describing 2005. As held by Nations Inquiry, https://nationsinquiry.com/datasets/climate-readiness/2005
0630 held
Other years
‹ The year before
Climate Readiness (ND-GAIN), 2004192 countries
The year after ›
Climate Readiness (ND-GAIN), 2006192 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), 2005: questions and answers
Which country has the highest climate adaptation readiness in Climate Readiness (ND-GAIN), 2005?
Denmark, at 0.79936, of the 192 countries in the file.
What year does Climate Readiness (ND-GAIN), 2005 describe?
2005.
How many countries does Climate Readiness (ND-GAIN), 2005 cover?
192.
Where can I download Climate Readiness (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 Readiness (ND-GAIN), 2005 the newest?
No. The newest held here is Climate Readiness (ND-GAIN), 2024.