Data for 2012
Climate Readiness (ND-GAIN), 2012
2012, as ND-GAIN’s 2026 release gives it · stored as published, never rewritten
Climate Readiness (ND-GAIN), 2012 covers 192 countries. Singapore is highest, at 0.80973; Central African Republic is lowest, at 0.16356. The middle country reads 0.38644. Against 2011, 192 values changed (76 up, 116 down), the same countries are covered.
Climate Readiness (ND-GAIN) · Data for 2012
HighestSingapore
0.80973LowestCentral African Republic
0.16356Shaded 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), 2012, 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 | SGPSouth-eastern Asia | 0.80973 |
| 2 | NZLAustralia and New Zealand | 0.80166 |
| 3 | DNKNorthern Europe | 0.79988 |
| 4 | FINNorthern Europe | 0.79490 |
| 5 | NORNorthern Europe | 0.78759 |
| 6 | SWENorthern Europe | 0.76897 |
| 7 | CHEWestern Europe | 0.73864 |
| 8 | ISLNorthern Europe | 0.73578 |
| 9 | KOREastern Asia | 0.73405 |
| 10 | AUSAustralia and New Zealand | 0.72595 |
| 11 | USANorthern America | 0.71813 |
| 12 | DEUWestern Europe | 0.71731 |
| 13 | NLDWestern Europe | 0.70440 |
| 14 | AUTWestern Europe | 0.70066 |
| 15 | LUXWestern Europe | 0.70018 |
| 16 | JPNEastern Asia | 0.69888 |
| 17 | GBRNorthern Europe | 0.69695 |
| 18 | CANNorthern America | 0.68945 |
| 19 | FRAWestern Europe | 0.67450 |
| 20 | MCOWestern Europe | 0.67261 |
| 21 | SMRSouthern Europe | 0.65479 |
| =22 | LIEWestern Europe | 0.64281 |
| =22 | SVNSouthern Europe | 0.64263 |
| 24 | ESTNorthern Europe | 0.62595 |
| 25 | BELWestern Europe | 0.60929 |
| 26 | IRLNorthern Europe | 0.60397 |
| 27 | NRUMicronesia | 0.60309 |
| 28 | LTUNorthern Europe | 0.58939 |
| 29 | KNACaribbean | 0.58790 |
| 30 | LVANorthern Europe | 0.58162 |
| 31 | DMACaribbean | 0.57853 |
| 32 | PRTSouthern Europe | 0.56848 |
| 33 | CHLSouth America | 0.56069 |
| 34 | AREWestern Asia | 0.55619 |
| 35 | ISRWestern Asia | 0.55258 |
| 36 | ESPSouthern Europe | 0.55171 |
| 37 | CZEEastern Europe | 0.54979 |
| 38 | HUNEastern Europe | 0.54863 |
| 39 | MUSEastern Africa | 0.54593 |
| 40 | POLEastern Europe | 0.54281 |
| 41 | BRBCaribbean | 0.53693 |
| 42 | ANDSouthern Europe | 0.53308 |
| =43 | MLTSouthern Europe | 0.53125 |
| =43 | VCTCaribbean | 0.53060 |
| 45 | GEOWestern Asia | 0.53003 |
| 46 | SVKEastern Europe | 0.51902 |
| 47 | ATGCaribbean | 0.51269 |
| 48 | CYPWestern Asia | 0.51214 |
| 49 | ITASouthern Europe | 0.51105 |
| 50 | QATWestern Asia | 0.50549 |
| 51 | MYSSouth-eastern Asia | 0.50300 |
| 52 | BRNSouth-eastern Asia | 0.49967 |
| 53 | BLREastern Europe | 0.49803 |
| 54 | GRDCaribbean | 0.49127 |
| 55 | GRCSouthern Europe | 0.48896 |
| =56 | HRVSouthern Europe | 0.48809 |
| =56 | PLWMicronesia | 0.48758 |
| =56 | LCACaribbean | 0.48788 |
| 59 | URYSouth America | 0.48553 |
| 60 | OMNWestern Asia | 0.48524 |
| =61 | BHSCaribbean | 0.47962 |
| =61 | BHRWestern Asia | 0.47994 |
| 63 | MNESouthern Europe | 0.47046 |
| =64 | ARMWestern Asia | 0.46167 |
| =64 | BGREastern Europe | 0.46199 |
| 66 | KAZCentral Asia | 0.45769 |
| 67 | ROUEastern Europe | 0.45107 |
| 68 | RUSEastern Europe | 0.44977 |
| =69 | THASouth-eastern Asia | 0.44763 |
| =69 | TURWestern Asia | 0.44832 |
| 71 | TUNNorthern Africa | 0.44665 |
| 72 | MKDSouthern Europe | 0.44593 |
| 73 | SAUWestern Asia | 0.44414 |
| 74 | CPVWestern Africa | 0.44260 |
| 75 | FJIMelanesia | 0.44124 |
| 76 | SYCEastern Africa | 0.43989 |
| 77 | WSMPolynesia | 0.43745 |
| 78 | CRICentral America | 0.43561 |
| 79 | MDVSouthern Asia | 0.43158 |
| 80 | TONPolynesia | 0.43018 |
| =81 | BWASouthern Africa | 0.42694 |
| =81 | CHNEastern Asia | 0.42750 |
| 83 | JORWestern Asia | 0.42447 |
| =84 | BTNSouthern Asia | 0.42134 |
| =84 | KWTWestern Asia | 0.42110 |
| 86 | MHLMicronesia | 0.41191 |
| 87 | MDAEastern Europe | 0.40813 |
| 88 | MNGEastern Asia | 0.40490 |
| 89 | PERSouth America | 0.39860 |
| 90 | SRBSouthern Europe | 0.39603 |
| 91 | PANCentral America | 0.39446 |
| 92 | SLBMelanesia | 0.39348 |
| 93 | VUTMelanesia | 0.39049 |
| =94 | MARNorthern Africa | 0.38864 |
| =94 | NAMSouthern Africa | 0.38900 |
| 96 | ALBSouthern Europe | 0.38691 |
| 97 | TUVPolynesia | 0.38596 |
| 98 | AZEWestern Asia | 0.38528 |
| 99 | TLSSouth-eastern Asia | 0.38249 |
| 100 | KIRMicronesia | 0.37665 |
| =101 | IRNSouthern Asia | 0.37644 |
| =101 | ZAFSouthern Africa | 0.37562 |
| =103 | BRASouth America | 0.37456 |
| =103 | VNMSouth-eastern Asia | 0.37510 |
| 105 | GHAWestern Africa | 0.37196 |
| =106 | COLSouth America | 0.37060 |
| =106 | MEXCentral America | 0.37146 |
| 108 | TTOCaribbean | 0.37008 |
| =109 | ARGSouth America | 0.36938 |
| =109 | SLVCentral America | 0.36945 |
| =109 | RWAEastern Africa | 0.36888 |
| 112 | DOMCaribbean | 0.36659 |
| =113 | JAMCaribbean | 0.36525 |
| =113 | STPMiddle Africa | 0.36475 |
| =115 | BIHSouthern Europe | 0.36385 |
| =115 | FSMMicronesia | 0.36360 |
| 117 | PRKEastern Asia | 0.36296 |
| 118 | BLZCentral America | 0.35526 |
| =119 | KGZCentral Asia | 0.35359 |
| =119 | LKASouthern Asia | 0.35404 |
| 121 | EGYNorthern Africa | 0.34095 |
| =122 | IDNSouth-eastern Asia | 0.33881 |
| =122 | PRYSouth America | 0.33924 |
| 124 | LBNWestern Asia | 0.33832 |
| 125 | PHLSouth-eastern Asia | 0.33541 |
| 126 | ZMBEastern Africa | 0.33367 |
| 127 | SURSouth America | 0.33284 |
| =128 | CUBCaribbean | 0.33177 |
| =128 | UKREastern Europe | 0.33154 |
| 130 | NPLSouthern Asia | 0.33123 |
| 131 | SWZSouthern Africa | 0.32234 |
| 132 | SENWestern Africa | 0.32098 |
| 133 | MRTWestern Africa | 0.31854 |
| =134 | ECUSouth America | 0.31640 |
| =134 | YEMWestern Asia | 0.31637 |
| 136 | GMBWestern Africa | 0.31515 |
| 137 | TZAEastern Africa | 0.31369 |
| 138 | DJIEastern Africa | 0.31298 |
| 139 | GABMiddle Africa | 0.31184 |
| 140 | GUYSouth America | 0.31095 |
| 141 | LAOSouth-eastern Asia | 0.30677 |
| =142 | LSOSouthern Africa | 0.30578 |
| =142 | NICCentral America | 0.30596 |
| =144 | ETHEastern Africa | 0.30420 |
| =144 | INDSouthern Asia | 0.30407 |
| 146 | DZANorthern Africa | 0.29911 |
| =147 | GTMCentral America | 0.29801 |
| =147 | MLIWestern Africa | 0.29783 |
| 149 | KHMSouth-eastern Asia | 0.29665 |
| =150 | BENWestern Africa | 0.29600 |
| =150 | BOLSouth America | 0.29610 |
| =150 | BFAWestern Africa | 0.29583 |
| =150 | MWIEastern Africa | 0.29594 |
| 154 | LBRWestern Africa | 0.29489 |
| 155 | NERWestern Africa | 0.29354 |
| 156 | PNGMelanesia | 0.29242 |
| 157 | COMEastern Africa | 0.28900 |
| 158 | SYRWestern Asia | 0.28767 |
| 159 | MOZEastern Africa | 0.28323 |
| 160 | SLEWestern Africa | 0.28181 |
| 161 | IRQWestern Asia | 0.28088 |
| =162 | MDGEastern Africa | 0.27712 |
| =162 | UGAEastern Africa | 0.27725 |
| 164 | TGOWestern Africa | 0.27528 |
| =165 | HNDCentral America | 0.27376 |
| =165 | TJKCentral Asia | 0.27375 |
| 167 | PAKSouthern Asia | 0.26958 |
| 168 | UZBCentral Asia | 0.26860 |
| 169 | CMRMiddle Africa | 0.26599 |
| 170 | LBYNorthern Africa | 0.26090 |
| 171 | GINWestern Africa | 0.25977 |
| 172 | GNQMiddle Africa | 0.25688 |
| 173 | KENEastern Africa | 0.25635 |
| 174 | SDNNorthern Africa | 0.25173 |
| 175 | GNBWestern Africa | 0.25071 |
| 176 | BGDSouthern Asia | 0.24414 |
| 177 | TKMCentral Asia | 0.24153 |
| =178 | AFGSouthern Asia | 0.23541 |
| =178 | HTICaribbean | 0.23491 |
| 180 | VENSouth America | 0.22992 |
| 181 | SOMEastern Africa | 0.22878 |
| 182 | COGMiddle Africa | 0.22300 |
| =183 | AGOMiddle Africa | 0.21816 |
| =183 | BDIEastern Africa | 0.21771 |
| 185 | NGAWestern Africa | 0.21464 |
| 186 | CIVWestern Africa | 0.21198 |
| 187 | ERIEastern Africa | 0.20840 |
| 188 | MMRSouth-eastern Asia | 0.19799 |
| 189 | ZWEEastern Africa | 0.18667 |
| 190 | TCDMiddle Africa | 0.18223 |
| 191 | CODMiddle Africa | 0.17851 |
| 192 | CAFMiddle Africa | 0.16356 |
02In 2012
At either end
The 5 countries at each end of the headline.
Highest
- #1
Singapore0.80973
- #2
New Zealand0.80166
- #3
Denmark0.79988
- #4
Finland0.79490
- #5
Norway0.78759
Lowest
- #192
Central African Republic0.16356
- #191
DR Congo0.17851
- #190
Chad0.18223
- #189
Zimbabwe0.18667
- #188
Myanmar0.19799
A higher value is the better result. The middle country reads 0.38644. “Shared” marks a value another country also holds.
032011 → 2012
Since 2011
What changed between 2011 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 192values changed, of 192 in both
- 76 · 116rose · fell
- 0unchanged
Rose most
North Macedonia0.41425 → 0.44593+0.03168
Malaysia0.47283 → 0.50300+0.03017
São Tomé and Príncipe0.33491 → 0.36475+0.02984
Belarus0.46991 → 0.49803+0.02812
Montenegro0.44404 → 0.47046+0.02642
Fell most
Monaco0.71928 → 0.67261−0.04667
North Korea0.39599 → 0.36296−0.03303
Mali0.32821 → 0.29783−0.03038
Romania0.47689 → 0.45107−0.02582
Syria0.30928 → 0.28767−0.02160
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 2012.
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-2012-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 (2012). Climate Readiness (ND-GAIN), 2012 [data set], describing 2012. As held by Nations Inquiry, https://nationsinquiry.com/datasets/climate-readiness/2012
0630 held
Other years
‹ The year before
Climate Readiness (ND-GAIN), 2011192 countries
The year after ›
Climate Readiness (ND-GAIN), 2013192 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), 2012: questions and answers
Which country has the highest climate adaptation readiness in Climate Readiness (ND-GAIN), 2012?
Singapore, at 0.80973, of the 192 countries in the file.
What year does Climate Readiness (ND-GAIN), 2012 describe?
2012.
How many countries does Climate Readiness (ND-GAIN), 2012 cover?
192.
Where can I download Climate Readiness (ND-GAIN), 2012?
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), 2012 the newest?
No. The newest held here is Climate Readiness (ND-GAIN), 2024.