Data for 2017
Climate Readiness (ND-GAIN), 2017
2017, as ND-GAIN’s 2026 release gives it · stored as published, never rewritten
Climate Readiness (ND-GAIN), 2017 covers 192 countries. Singapore is highest, at 0.80751; Central African Republic is lowest, at 0.13171. The middle country reads 0.40634. Against 2016, 192 values changed (99 up, 93 down), the same countries are covered.
Climate Readiness (ND-GAIN) · Data for 2017
HighestSingapore
0.80751LowestCentral African Republic
0.13171Shaded 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), 2017, 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 | 0.80751 |
| 2 | NORNorthern Europe | 0.80096 |
| 3 | NZLAustralia and New Zealand | 0.79747 |
| 4 | DNKNorthern Europe | 0.79398 |
| 5 | MCOWestern Europe | 0.77758 |
| 6 | FINNorthern Europe | 0.77011 |
| 7 | SWENorthern Europe | 0.75706 |
| 8 | KOREastern Asia | 0.73265 |
| 9 | ISLNorthern Europe | 0.72322 |
| 10 | CHEWestern Europe | 0.72135 |
| 11 | GBRNorthern Europe | 0.71361 |
| 12 | DEUWestern Europe | 0.71093 |
| 13 | JPNEastern Asia | 0.70853 |
| 14 | NLDWestern Europe | 0.70658 |
| 15 | AUTWestern Europe | 0.70589 |
| 16 | AUSAustralia and New Zealand | 0.69866 |
| 17 | LUXWestern Europe | 0.69699 |
| 18 | USANorthern America | 0.67534 |
| 19 | CANNorthern America | 0.67081 |
| 20 | FRAWestern Europe | 0.66502 |
| 21 | SMRSouthern Europe | 0.64999 |
| =22 | ESTNorthern Europe | 0.64204 |
| =22 | LIEWestern Europe | 0.64246 |
| 24 | IRLNorthern Europe | 0.62540 |
| 25 | SVNSouthern Europe | 0.61698 |
| 26 | BELWestern Europe | 0.61074 |
| 27 | LTUNorthern Europe | 0.59577 |
| 28 | PRTSouthern Europe | 0.59408 |
| =29 | LVANorthern Europe | 0.59087 |
| =29 | AREWestern Asia | 0.59149 |
| 31 | KNACaribbean | 0.58124 |
| 32 | CZEEastern Europe | 0.57329 |
| 33 | POLEastern Europe | 0.57142 |
| 34 | GEOWestern Asia | 0.57044 |
| 35 | NRUMicronesia | 0.55930 |
| 36 | ESPSouthern Europe | 0.55496 |
| =37 | CHLSouth America | 0.55381 |
| =37 | ISRWestern Asia | 0.55403 |
| 39 | MUSEastern Africa | 0.54766 |
| 40 | DMACaribbean | 0.54328 |
| =41 | ANDSouthern Europe | 0.53627 |
| =41 | CYPWestern Asia | 0.53583 |
| 43 | GRDCaribbean | 0.52367 |
| 44 | MLTSouthern Europe | 0.51769 |
| =45 | BRBCaribbean | 0.51651 |
| =45 | GRCSouthern Europe | 0.51687 |
| 47 | RUSEastern Europe | 0.51633 |
| 48 | ITASouthern Europe | 0.51519 |
| 49 | BRNSouth-eastern Asia | 0.51321 |
| 50 | QATWestern Asia | 0.50622 |
| 51 | HUNEastern Europe | 0.50492 |
| =52 | BLREastern Europe | 0.50447 |
| =52 | MYSSouth-eastern Asia | 0.50413 |
| 54 | SVKEastern Europe | 0.50077 |
| =55 | PLWMicronesia | 0.49960 |
| =55 | URYSouth America | 0.50037 |
| 57 | OMNWestern Asia | 0.49492 |
| =58 | VCTCaribbean | 0.49173 |
| =58 | SAUWestern Asia | 0.49201 |
| 60 | HRVSouthern Europe | 0.48915 |
| 61 | ARMWestern Asia | 0.48849 |
| 62 | KAZCentral Asia | 0.48370 |
| 63 | SYCEastern Africa | 0.47742 |
| 64 | ROUEastern Europe | 0.47621 |
| 65 | FJIMelanesia | 0.47368 |
| =66 | BGREastern Europe | 0.46823 |
| =66 | MKDSouthern Europe | 0.46777 |
| =68 | CRICentral America | 0.46716 |
| =68 | MNESouthern Europe | 0.46700 |
| =70 | BHRWestern Asia | 0.46620 |
| =70 | CHNEastern Asia | 0.46630 |
| 72 | BTNSouthern Asia | 0.46488 |
| 73 | LCACaribbean | 0.45872 |
| =74 | THASouth-eastern Asia | 0.45587 |
| =74 | TURWestern Asia | 0.45630 |
| 76 | CPVWestern Africa | 0.44783 |
| 77 | SRBSouthern Europe | 0.44719 |
| 78 | WSMPolynesia | 0.44273 |
| 79 | ATGCaribbean | 0.44201 |
| =80 | BHSCaribbean | 0.43753 |
| =80 | TUNNorthern Africa | 0.43767 |
| 82 | MNGEastern Asia | 0.43607 |
| 83 | IRNSouthern Asia | 0.42859 |
| 84 | MHLMicronesia | 0.42710 |
| 85 | TONPolynesia | 0.42514 |
| =86 | BWASouthern Africa | 0.42014 |
| =86 | MARNorthern Africa | 0.42025 |
| 88 | AZEWestern Asia | 0.41756 |
| =89 | ALBSouthern Europe | 0.41519 |
| =89 | SLBMelanesia | 0.41472 |
| 91 | JORWestern Asia | 0.41363 |
| 92 | MDVSouthern Asia | 0.41155 |
| =93 | MDAEastern Europe | 0.40935 |
| =93 | TUVPolynesia | 0.40914 |
| 95 | VNMSouth-eastern Asia | 0.40768 |
| 96 | PANCentral America | 0.40717 |
| 97 | PERSouth America | 0.40551 |
| 98 | KWTWestern Asia | 0.39764 |
| 99 | UKREastern Europe | 0.39566 |
| 100 | LKASouthern Asia | 0.39438 |
| 101 | RWAEastern Africa | 0.39229 |
| 102 | TLSSouth-eastern Asia | 0.39133 |
| 103 | JAMCaribbean | 0.38783 |
| 104 | IDNSouth-eastern Asia | 0.37981 |
| =105 | BIHSouthern Europe | 0.37832 |
| =105 | NAMSouthern Africa | 0.37772 |
| =107 | COLSouth America | 0.37724 |
| =107 | KGZCentral Asia | 0.37656 |
| 109 | ARGSouth America | 0.37585 |
| 110 | VUTMelanesia | 0.37351 |
| 111 | MEXCentral America | 0.37120 |
| 112 | ZAFSouthern Africa | 0.36898 |
| 113 | FSMMicronesia | 0.36687 |
| 114 | TTOCaribbean | 0.36406 |
| 115 | STPMiddle Africa | 0.36189 |
| 116 | DOMCaribbean | 0.36065 |
| 117 | KIRMicronesia | 0.35989 |
| 118 | PRKEastern Asia | 0.35638 |
| =119 | GHAWestern Africa | 0.35533 |
| =119 | PRYSouth America | 0.35517 |
| 121 | BRASouth America | 0.34431 |
| 122 | NPLSouthern Asia | 0.34333 |
| 123 | SLVCentral America | 0.34173 |
| 124 | BLZCentral America | 0.34002 |
| 125 | SENWestern Africa | 0.33805 |
| 126 | INDSouthern Asia | 0.33672 |
| 127 | EGYNorthern Africa | 0.33589 |
| 128 | MRTWestern Africa | 0.33528 |
| =129 | BENWestern Africa | 0.33295 |
| =129 | SURSouth America | 0.33286 |
| 131 | PHLSouth-eastern Asia | 0.33245 |
| 132 | CUBCaribbean | 0.32938 |
| 133 | GUYSouth America | 0.32828 |
| 134 | DZANorthern Africa | 0.32681 |
| =135 | DJIEastern Africa | 0.32549 |
| =135 | SWZSouthern Africa | 0.32528 |
| 137 | ECUSouth America | 0.32387 |
| 138 | UZBCentral Asia | 0.32147 |
| 139 | GMBWestern Africa | 0.31967 |
| =140 | LBNWestern Asia | 0.31529 |
| =140 | LSOSouthern Africa | 0.31534 |
| =140 | ZMBEastern Africa | 0.31457 |
| 143 | GTMCentral America | 0.31216 |
| 144 | NICCentral America | 0.30847 |
| =145 | NERWestern Africa | 0.30669 |
| =145 | TGOWestern Africa | 0.30690 |
| 147 | LAOSouth-eastern Asia | 0.30454 |
| 148 | GINWestern Africa | 0.30262 |
| =149 | SLEWestern Africa | 0.30217 |
| =149 | TJKCentral Asia | 0.30242 |
| 151 | TZAEastern Africa | 0.29976 |
| 152 | MLIWestern Africa | 0.29645 |
| 153 | COMEastern Africa | 0.29198 |
| 154 | LBRWestern Africa | 0.29007 |
| 155 | GABMiddle Africa | 0.28621 |
| =156 | BOLSouth America | 0.28377 |
| =156 | BFAWestern Africa | 0.28407 |
| =158 | IRQWestern Asia | 0.28292 |
| =158 | PNGMelanesia | 0.28341 |
| =160 | KHMSouth-eastern Asia | 0.28149 |
| =160 | ETHEastern Africa | 0.28068 |
| 162 | PAKSouthern Asia | 0.27936 |
| =163 | KENEastern Africa | 0.27771 |
| =163 | UGAEastern Africa | 0.27809 |
| 165 | CIVWestern Africa | 0.27257 |
| 166 | MMRSouth-eastern Asia | 0.26953 |
| 167 | HNDCentral America | 0.26799 |
| 168 | MWIEastern Africa | 0.26577 |
| 169 | MDGEastern Africa | 0.26363 |
| 170 | GNBWestern Africa | 0.25770 |
| 171 | BGDSouthern Asia | 0.25626 |
| 172 | YEMWestern Asia | 0.25488 |
| 173 | MOZEastern Africa | 0.25357 |
| 174 | BDIEastern Africa | 0.25315 |
| 175 | SDNNorthern Africa | 0.24979 |
| 176 | CMRMiddle Africa | 0.24925 |
| 177 | SOMEastern Africa | 0.24661 |
| =178 | SYRWestern Asia | 0.23660 |
| =178 | TKMCentral Asia | 0.23666 |
| 180 | AFGSouthern Asia | 0.22908 |
| 181 | HTICaribbean | 0.22744 |
| 182 | GNQMiddle Africa | 0.22515 |
| 183 | LBYNorthern Africa | 0.22308 |
| =184 | AGOMiddle Africa | 0.21961 |
| =184 | NGAWestern Africa | 0.22004 |
| 186 | COGMiddle Africa | 0.21041 |
| 187 | ZWEEastern Africa | 0.19979 |
| 188 | ERIEastern Africa | 0.18848 |
| 189 | VENSouth America | 0.18678 |
| 190 | CODMiddle Africa | 0.18092 |
| 191 | TCDMiddle Africa | 0.17154 |
| 192 | CAFMiddle Africa | 0.13171 |
02In 2017
At either end
The 5 countries at each end of the headline.
Highest
- #1
Singapore0.80751
- #2
Norway0.80096
- #3
New Zealand0.79747
- #4
Denmark0.79398
- #5
Monaco0.77758
Lowest
- #192
Central African Republic0.13171
- #191
Chad0.17154
- #190
DR Congo0.18092
- #189
Venezuela0.18678
- #188
Eritrea0.18848
A higher value is the better result. The middle country reads 0.40634. “Shared” marks a value another country also holds.
032016 → 2017
Since 2016
What changed between 2016 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 192values changed, of 192 in both
- 99 · 93rose · fell
- 0unchanged
Rose most
Serbia0.41664 → 0.44719+0.03055
Monaco0.74953 → 0.77758+0.02805
Algeria0.30332 → 0.32681+0.02349
Belarus0.48277 → 0.50447+0.02170
Saint Kitts and Nevis0.56184 → 0.58124+0.01940
Fell most
Antigua and Barbuda0.46390 → 0.44201−0.02189
Australia0.71353 → 0.69866−0.01487
South Africa0.38293 → 0.36898−0.01394
Syria0.25037 → 0.23660−0.01377
Malaysia0.51679 → 0.50413−0.01266
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 2017.
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-2017-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 (2017). Climate Readiness (ND-GAIN), 2017 [data set], describing 2017. As held by Nations Inquiry, https://nationsinquiry.com/datasets/climate-readiness/2017
0630 held
Other years
‹ The year before
Climate Readiness (ND-GAIN), 2016192 countries
The year after ›
Climate Readiness (ND-GAIN), 2018192 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), 2017: questions and answers
Which country has the highest climate adaptation readiness in Climate Readiness (ND-GAIN), 2017?
Singapore, at 0.80751, of the 192 countries in the file.
What year does Climate Readiness (ND-GAIN), 2017 describe?
2017.
How many countries does Climate Readiness (ND-GAIN), 2017 cover?
192.
Where can I download Climate Readiness (ND-GAIN), 2017?
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), 2017 the newest?
No. The newest held here is Climate Readiness (ND-GAIN), 2024.