Data for 2014
Climate Readiness (ND-GAIN), 2014
2014, as ND-GAIN’s 2026 release gives it · stored as published, never rewritten
Climate Readiness (ND-GAIN), 2014 covers 192 countries. Singapore is highest, at 0.80734; Central African Republic is lowest, at 0.12151. The middle country reads 0.39809. Against 2013, 192 values changed (103 up, 89 down), the same countries are covered.
Climate Readiness (ND-GAIN) · Data for 2014
HighestSingapore
0.80734LowestCentral African Republic
0.12151Shaded 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), 2014, 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 | 0.80734 |
| =2 | NZLAustralia and New Zealand | 0.79651 |
| =2 | NORNorthern Europe | 0.79706 |
| 4 | DNKNorthern Europe | 0.79218 |
| 5 | FINNorthern Europe | 0.78339 |
| 6 | ISLNorthern Europe | 0.75290 |
| 7 | SWENorthern Europe | 0.75061 |
| 8 | KOREastern Asia | 0.73668 |
| 9 | CHEWestern Europe | 0.73367 |
| 10 | DEUWestern Europe | 0.72085 |
| 11 | MCOWestern Europe | 0.71916 |
| =12 | JPNEastern Asia | 0.71181 |
| =12 | NLDWestern Europe | 0.71242 |
| 14 | AUSAustralia and New Zealand | 0.70891 |
| 15 | AUTWestern Europe | 0.70699 |
| 16 | GBRNorthern Europe | 0.70556 |
| 17 | LUXWestern Europe | 0.69388 |
| 18 | USANorthern America | 0.68125 |
| 19 | CANNorthern America | 0.68003 |
| 20 | FRAWestern Europe | 0.65994 |
| 21 | LIEWestern Europe | 0.64469 |
| 22 | ESTNorthern Europe | 0.64174 |
| 23 | SVNSouthern Europe | 0.63012 |
| 24 | IRLNorthern Europe | 0.62140 |
| 25 | BELWestern Europe | 0.60908 |
| 26 | LTUNorthern Europe | 0.60072 |
| 27 | SMRSouthern Europe | 0.59871 |
| =28 | LVANorthern Europe | 0.57977 |
| =28 | AREWestern Asia | 0.58033 |
| 30 | PRTSouthern Europe | 0.57751 |
| 31 | POLEastern Europe | 0.57116 |
| =32 | CZEEastern Europe | 0.56222 |
| =32 | GEOWestern Asia | 0.56153 |
| 34 | CHLSouth America | 0.56078 |
| 35 | DMACaribbean | 0.55656 |
| 36 | NRUMicronesia | 0.55291 |
| 37 | MUSEastern Africa | 0.54347 |
| 38 | ISRWestern Asia | 0.54100 |
| 39 | KNACaribbean | 0.53818 |
| 40 | ESPSouthern Europe | 0.53666 |
| 41 | ANDSouthern Europe | 0.52093 |
| =42 | BRNSouth-eastern Asia | 0.51970 |
| =42 | MYSSouth-eastern Asia | 0.51988 |
| 44 | HUNEastern Europe | 0.51736 |
| 45 | BRBCaribbean | 0.51302 |
| 46 | ITASouthern Europe | 0.51199 |
| =47 | MLTSouthern Europe | 0.51071 |
| =47 | SVKEastern Europe | 0.51055 |
| 49 | CYPWestern Asia | 0.50808 |
| 50 | GRCSouthern Europe | 0.50722 |
| 51 | QATWestern Asia | 0.50343 |
| 52 | URYSouth America | 0.49983 |
| 53 | GRDCaribbean | 0.49897 |
| 54 | VCTCaribbean | 0.49710 |
| 55 | OMNWestern Asia | 0.49307 |
| 56 | RUSEastern Europe | 0.48948 |
| 57 | PLWMicronesia | 0.48455 |
| 58 | HRVSouthern Europe | 0.48238 |
| 59 | BLREastern Europe | 0.47758 |
| 60 | KAZCentral Asia | 0.47656 |
| 61 | ARMWestern Asia | 0.47227 |
| =62 | ATGCaribbean | 0.46873 |
| =62 | MNESouthern Europe | 0.46867 |
| 64 | BHRWestern Asia | 0.46789 |
| 65 | MKDSouthern Europe | 0.46742 |
| 66 | LCACaribbean | 0.46493 |
| =67 | FJIMelanesia | 0.46301 |
| =67 | ROUEastern Europe | 0.46308 |
| 69 | BGREastern Europe | 0.46211 |
| 70 | SAUWestern Asia | 0.46123 |
| 71 | TURWestern Asia | 0.45832 |
| 72 | CRICentral America | 0.45593 |
| 73 | BHSCaribbean | 0.45195 |
| 74 | CPVWestern Africa | 0.44935 |
| 75 | THASouth-eastern Asia | 0.44828 |
| 76 | TUNNorthern Africa | 0.44120 |
| 77 | BTNSouthern Asia | 0.43839 |
| 78 | WSMPolynesia | 0.43638 |
| =79 | CHNEastern Asia | 0.43525 |
| =79 | SYCEastern Africa | 0.43466 |
| 81 | MNGEastern Asia | 0.43358 |
| 82 | BWASouthern Africa | 0.42934 |
| 83 | SRBSouthern Europe | 0.41982 |
| 84 | TONPolynesia | 0.41892 |
| 85 | MDVSouthern Asia | 0.41516 |
| 86 | JORWestern Asia | 0.41420 |
| =87 | AZEWestern Asia | 0.41286 |
| =87 | KWTWestern Asia | 0.41273 |
| 89 | MHLMicronesia | 0.40907 |
| 90 | ALBSouthern Europe | 0.40823 |
| =91 | PANCentral America | 0.40678 |
| =91 | TUVPolynesia | 0.40658 |
| =93 | MDAEastern Europe | 0.40514 |
| =93 | MARNorthern Africa | 0.40496 |
| 95 | SLBMelanesia | 0.40145 |
| 96 | IRNSouthern Asia | 0.40043 |
| 97 | PERSouth America | 0.39575 |
| 98 | VUTMelanesia | 0.38979 |
| =99 | BIHSouthern Europe | 0.38357 |
| =99 | RWAEastern Africa | 0.38353 |
| =99 | TLSSouth-eastern Asia | 0.38409 |
| 102 | NAMSouthern Africa | 0.38313 |
| 103 | VNMSouth-eastern Asia | 0.37884 |
| =104 | COLSouth America | 0.37788 |
| =104 | ZAFSouthern Africa | 0.37777 |
| 106 | JAMCaribbean | 0.37483 |
| 107 | MEXCentral America | 0.37171 |
| 108 | KIRMicronesia | 0.37034 |
| 109 | KGZCentral Asia | 0.36867 |
| =110 | FSMMicronesia | 0.36598 |
| =110 | LKASouthern Asia | 0.36577 |
| =110 | TTOCaribbean | 0.36596 |
| =113 | DOMCaribbean | 0.36006 |
| =113 | UKREastern Europe | 0.35979 |
| 115 | BRASouth America | 0.35854 |
| 116 | STPMiddle Africa | 0.35804 |
| 117 | SLVCentral America | 0.35531 |
| =118 | GHAWestern Africa | 0.35004 |
| =118 | IDNSouth-eastern Asia | 0.34993 |
| 120 | PRKEastern Asia | 0.34846 |
| 121 | PRYSouth America | 0.34674 |
| 122 | PHLSouth-eastern Asia | 0.34422 |
| 123 | NPLSouthern Asia | 0.34166 |
| =124 | ARGSouth America | 0.33581 |
| =124 | BLZCentral America | 0.33578 |
| 126 | EGYNorthern Africa | 0.33089 |
| 127 | ZMBEastern Africa | 0.32966 |
| 128 | LBNWestern Asia | 0.32809 |
| 129 | CUBCaribbean | 0.32432 |
| =130 | LSOSouthern Africa | 0.32271 |
| =130 | SURSouth America | 0.32295 |
| 132 | ECUSouth America | 0.32117 |
| 133 | SWZSouthern Africa | 0.31854 |
| 134 | SENWestern Africa | 0.31847 |
| 135 | GUYSouth America | 0.31571 |
| 136 | MRTWestern Africa | 0.31377 |
| 137 | GTMCentral America | 0.30936 |
| 138 | DJIEastern Africa | 0.30680 |
| 139 | NICCentral America | 0.30333 |
| =140 | LAOSouth-eastern Asia | 0.30162 |
| =140 | TZAEastern Africa | 0.30237 |
| 142 | GMBWestern Africa | 0.30120 |
| =143 | GABMiddle Africa | 0.29929 |
| =143 | LBRWestern Africa | 0.29881 |
| =145 | BENWestern Africa | 0.29833 |
| =145 | COMEastern Africa | 0.29822 |
| =145 | UZBCentral Asia | 0.29770 |
| =148 | INDSouthern Asia | 0.29561 |
| =148 | MLIWestern Africa | 0.29640 |
| 150 | PNGMelanesia | 0.29547 |
| 151 | DZANorthern Africa | 0.29427 |
| 152 | NERWestern Africa | 0.29327 |
| 153 | ETHEastern Africa | 0.29207 |
| 154 | BOLSouth America | 0.28664 |
| 155 | SLEWestern Africa | 0.28588 |
| 156 | TGOWestern Africa | 0.28450 |
| 157 | BFAWestern Africa | 0.28152 |
| 158 | YEMWestern Asia | 0.27968 |
| =159 | KHMSouth-eastern Asia | 0.27826 |
| =159 | IRQWestern Asia | 0.27790 |
| 161 | TJKCentral Asia | 0.27706 |
| 162 | PAKSouthern Asia | 0.27593 |
| 163 | GINWestern Africa | 0.27535 |
| 164 | BDIEastern Africa | 0.27140 |
| =165 | MWIEastern Africa | 0.26760 |
| =165 | MOZEastern Africa | 0.26837 |
| 167 | HNDCentral America | 0.26685 |
| =168 | KENEastern Africa | 0.26499 |
| =168 | MDGEastern Africa | 0.26490 |
| =168 | UGAEastern Africa | 0.26473 |
| 171 | CMRMiddle Africa | 0.26294 |
| 172 | SYRWestern Asia | 0.26192 |
| 173 | CIVWestern Africa | 0.25294 |
| 174 | BGDSouthern Asia | 0.25141 |
| 175 | GNBWestern Africa | 0.24704 |
| 176 | SDNNorthern Africa | 0.24545 |
| 177 | AFGSouthern Asia | 0.24420 |
| 178 | SOMEastern Africa | 0.24042 |
| 179 | TKMCentral Asia | 0.23947 |
| 180 | GNQMiddle Africa | 0.23790 |
| 181 | LBYNorthern Africa | 0.23376 |
| =182 | HTICaribbean | 0.22426 |
| =182 | COGMiddle Africa | 0.22373 |
| 184 | MMRSouth-eastern Asia | 0.22049 |
| 185 | AGOMiddle Africa | 0.21397 |
| 186 | NGAWestern Africa | 0.20489 |
| 187 | VENSouth America | 0.20443 |
| 188 | ERIEastern Africa | 0.19904 |
| 189 | ZWEEastern Africa | 0.18318 |
| 190 | TCDMiddle Africa | 0.17064 |
| 191 | CODMiddle Africa | 0.16874 |
| 192 | CAFMiddle Africa | 0.12151 |
02In 2014
At either end
The 5 countries at each end of the headline.
Highest
- #1
Singapore0.80734
- #2
Norway0.79706
- #2
New Zealand0.79651
- #4
Denmark0.79218
- #5
Finland0.78339
Lowest
- #192
Central African Republic0.12151
- #191
DR Congo0.16874
- #190
Chad0.17064
- #189
Zimbabwe0.18318
- #188
Eritrea0.19904
A higher value is the better result. The middle country reads 0.39809. “Shared” marks a value another country also holds.
032013 → 2014
Since 2013
What changed between 2013 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 192values changed, of 192 in both
- 103 · 89rose · fell
- 0unchanged
Rose most
Burundi0.23629 → 0.27140+0.03511
Côte d’Ivoire0.21790 → 0.25294+0.03504
Russia0.46222 → 0.48948+0.02726
Fiji0.43681 → 0.46301+0.02621
Iran0.37427 → 0.40043+0.02616
Fell most
San Marino0.65358 → 0.59871−0.05487
Saint Kitts and Nevis0.59038 → 0.53818−0.05220
Antigua and Barbuda0.50088 → 0.46873−0.03216
United States0.70803 → 0.68125−0.02678
Saint Lucia0.48704 → 0.46493−0.02211
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 2014.
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-2014-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 (2014). Climate Readiness (ND-GAIN), 2014 [data set], describing 2014. As held by Nations Inquiry, https://nationsinquiry.com/datasets/climate-readiness/2014
0630 held
Other years
‹ The year before
Climate Readiness (ND-GAIN), 2013192 countries
The year after ›
Climate Readiness (ND-GAIN), 2015192 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), 2014: questions and answers
Which country has the highest climate adaptation readiness in Climate Readiness (ND-GAIN), 2014?
Singapore, at 0.80734, of the 192 countries in the file.
What year does Climate Readiness (ND-GAIN), 2014 describe?
2014.
How many countries does Climate Readiness (ND-GAIN), 2014 cover?
192.
Where can I download Climate Readiness (ND-GAIN), 2014?
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), 2014 the newest?
No. The newest held here is Climate Readiness (ND-GAIN), 2024.