Data for 2023
Climate Readiness (ND-GAIN), 2023
2023, as ND-GAIN’s 2026 release gives it · stored as published, never rewritten
Climate Readiness (ND-GAIN), 2023 covers 192 countries. Singapore is highest, at 0.74412; Central African Republic is lowest, at 0.14985. The middle country reads 0.39205. Against 2022, 192 values changed (108 up, 84 down), the same countries are covered.
Climate Readiness (ND-GAIN) · Data for 2023
HighestSingapore
0.74412LowestCentral African Republic
0.14985Shaded 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), 2023, 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 | 0.74412 |
| 2 | KOREastern Asia | 0.72367 |
| 3 | FINNorthern Europe | 0.72344 |
| 4 | DNKNorthern Europe | 0.71198 |
| 5 | MCOWestern Europe | 0.70580 |
| 6 | SMRSouthern Europe | 0.70487 |
| 7 | NORNorthern Europe | 0.70308 |
| 8 | DEUWestern Europe | 0.68425 |
| 9 | SWENorthern Europe | 0.68262 |
| 10 | AUTWestern Europe | 0.68248 |
| 11 | CHEWestern Europe | 0.67715 |
| =12 | JPNEastern Asia | 0.66999 |
| =12 | LIEWestern Europe | 0.66964 |
| 14 | NLDWestern Europe | 0.66200 |
| 15 | AUSAustralia and New Zealand | 0.65991 |
| 16 | LUXWestern Europe | 0.65781 |
| 17 | GBRNorthern Europe | 0.65594 |
| 18 | CANNorthern America | 0.64663 |
| 19 | FRAWestern Europe | 0.64429 |
| 20 | USANorthern America | 0.63323 |
| 21 | NZLAustralia and New Zealand | 0.62874 |
| 22 | KNACaribbean | 0.61953 |
| 23 | DMACaribbean | 0.61723 |
| 24 | ESTNorthern Europe | 0.61085 |
| 25 | SVNSouthern Europe | 0.60855 |
| 26 | IRLNorthern Europe | 0.60747 |
| =27 | BELWestern Europe | 0.60643 |
| =27 | CZEEastern Europe | 0.60561 |
| =27 | ISLNorthern Europe | 0.60603 |
| 30 | ANDSouthern Europe | 0.60518 |
| 31 | ITASouthern Europe | 0.60433 |
| 32 | LVANorthern Europe | 0.59062 |
| 33 | PRTSouthern Europe | 0.58974 |
| 34 | LTUNorthern Europe | 0.57560 |
| 35 | NRUMicronesia | 0.56693 |
| 36 | POLEastern Europe | 0.56377 |
| 37 | BRBCaribbean | 0.56239 |
| 38 | ESPSouthern Europe | 0.56034 |
| 39 | GRCSouthern Europe | 0.55424 |
| 40 | CHLSouth America | 0.54364 |
| 41 | ISRWestern Asia | 0.54048 |
| 42 | SVKEastern Europe | 0.53752 |
| 43 | HUNEastern Europe | 0.53545 |
| 44 | GEOWestern Asia | 0.53413 |
| 45 | PLWMicronesia | 0.53116 |
| 46 | HRVSouthern Europe | 0.52960 |
| 47 | GRDCaribbean | 0.52621 |
| 48 | ROUEastern Europe | 0.51331 |
| 49 | BGREastern Europe | 0.50694 |
| 50 | CYPWestern Asia | 0.49639 |
| 51 | MLTSouthern Europe | 0.49137 |
| 52 | URYSouth America | 0.48760 |
| 53 | SRBSouthern Europe | 0.48476 |
| 54 | MDAEastern Europe | 0.48304 |
| =55 | KAZCentral Asia | 0.48175 |
| =55 | AREWestern Asia | 0.48234 |
| 57 | MUSEastern Africa | 0.48104 |
| 58 | SAUWestern Asia | 0.47879 |
| 59 | TURWestern Asia | 0.47593 |
| 60 | VCTCaribbean | 0.47396 |
| 61 | CRICentral America | 0.46555 |
| 62 | MNESouthern Europe | 0.46315 |
| =63 | BHRWestern Asia | 0.45984 |
| =63 | QATWestern Asia | 0.45952 |
| 65 | ARMWestern Asia | 0.45868 |
| 66 | RUSEastern Europe | 0.45785 |
| 67 | MYSSouth-eastern Asia | 0.45746 |
| 68 | ALBSouthern Europe | 0.45445 |
| 69 | CHNEastern Asia | 0.45327 |
| =70 | MKDSouthern Europe | 0.44858 |
| =70 | RWAEastern Africa | 0.44852 |
| 72 | UKREastern Europe | 0.44842 |
| 73 | ATGCaribbean | 0.44044 |
| 74 | BLREastern Europe | 0.43588 |
| 75 | TUVPolynesia | 0.43349 |
| 76 | UZBCentral Asia | 0.43037 |
| 77 | FJIMelanesia | 0.42679 |
| 78 | OMNWestern Asia | 0.42550 |
| =79 | AZEWestern Asia | 0.42215 |
| =79 | BHSCaribbean | 0.42164 |
| =79 | JORWestern Asia | 0.42243 |
| 82 | COLSouth America | 0.42139 |
| 83 | BRNSouth-eastern Asia | 0.41897 |
| 84 | LCACaribbean | 0.41640 |
| =85 | KWTWestern Asia | 0.41517 |
| =85 | VNMSouth-eastern Asia | 0.41468 |
| 87 | ARGSouth America | 0.41298 |
| 88 | BTNSouthern Asia | 0.41062 |
| 89 | IDNSouth-eastern Asia | 0.40810 |
| =90 | MDVSouthern Asia | 0.40721 |
| =90 | SYCEastern Africa | 0.40698 |
| =92 | BWASouthern Africa | 0.40448 |
| =92 | MHLMicronesia | 0.40369 |
| 94 | JAMCaribbean | 0.40178 |
| 95 | DOMCaribbean | 0.39554 |
| 96 | MARNorthern Africa | 0.39435 |
| 97 | BIHSouthern Europe | 0.38975 |
| 98 | MNGEastern Asia | 0.38844 |
| 99 | IRNSouthern Asia | 0.38414 |
| 100 | PERSouth America | 0.38224 |
| 101 | CPVWestern Africa | 0.38116 |
| =102 | GUYSouth America | 0.38026 |
| =102 | MEXCentral America | 0.37954 |
| =102 | PRKEastern Asia | 0.37964 |
| =102 | PANCentral America | 0.38027 |
| 106 | BRASouth America | 0.37783 |
| =107 | BENWestern Africa | 0.37667 |
| =107 | EGYNorthern Africa | 0.37697 |
| =107 | SLBMelanesia | 0.37706 |
| =110 | DZANorthern Africa | 0.37529 |
| =110 | SENWestern Africa | 0.37486 |
| 112 | SURSouth America | 0.37274 |
| 113 | KIRMicronesia | 0.36954 |
| 114 | WSMPolynesia | 0.36873 |
| =115 | KGZCentral Asia | 0.36685 |
| =115 | PHLSouth-eastern Asia | 0.36669 |
| =117 | BLZCentral America | 0.36306 |
| =117 | NPLSouthern Asia | 0.36314 |
| 119 | STPMiddle Africa | 0.35951 |
| 120 | INDSouthern Asia | 0.35798 |
| 121 | THASouth-eastern Asia | 0.35650 |
| 122 | ECUSouth America | 0.35613 |
| 123 | FSMMicronesia | 0.35363 |
| 124 | GHAWestern Africa | 0.35190 |
| 125 | TONPolynesia | 0.35094 |
| 126 | TGOWestern Africa | 0.35008 |
| 127 | NAMSouthern Africa | 0.34582 |
| 128 | TZAEastern Africa | 0.34365 |
| 129 | CUBCaribbean | 0.34280 |
| 130 | TUNNorthern Africa | 0.34246 |
| 131 | PRYSouth America | 0.33873 |
| 132 | LKASouthern Asia | 0.33818 |
| 133 | LBNWestern Asia | 0.33352 |
| =134 | DJIEastern Africa | 0.32869 |
| =134 | TTOCaribbean | 0.32878 |
| 136 | SLVCentral America | 0.32744 |
| 137 | GTMCentral America | 0.32258 |
| 138 | KHMSouth-eastern Asia | 0.32053 |
| 139 | BOLSouth America | 0.31810 |
| =140 | ZAFSouthern Africa | 0.31463 |
| =140 | TJKCentral Asia | 0.31493 |
| 142 | BGDSouthern Asia | 0.31179 |
| 143 | NICCentral America | 0.30814 |
| 144 | SWZSouthern Africa | 0.30621 |
| 145 | HNDCentral America | 0.30307 |
| 146 | GABMiddle Africa | 0.30190 |
| 147 | NERWestern Africa | 0.30077 |
| 148 | PAKSouthern Asia | 0.29873 |
| 149 | LAOSouth-eastern Asia | 0.29791 |
| 150 | CIVWestern Africa | 0.29745 |
| 151 | LBRWestern Africa | 0.29577 |
| 152 | MRTWestern Africa | 0.29520 |
| =153 | GINWestern Africa | 0.29250 |
| =153 | TLSSouth-eastern Asia | 0.29345 |
| 155 | LSOSouthern Africa | 0.29087 |
| 156 | LBYNorthern Africa | 0.28652 |
| 157 | GNBWestern Africa | 0.28311 |
| 158 | MWIEastern Africa | 0.28177 |
| 159 | SYRWestern Asia | 0.27917 |
| 160 | SLEWestern Africa | 0.27563 |
| =161 | CMRMiddle Africa | 0.27540 |
| =161 | ZMBEastern Africa | 0.27500 |
| 163 | VUTMelanesia | 0.27371 |
| 164 | AFGSouthern Asia | 0.27346 |
| 165 | KENEastern Africa | 0.27224 |
| 166 | BFAWestern Africa | 0.27103 |
| 167 | MLIWestern Africa | 0.26856 |
| 168 | GMBWestern Africa | 0.26768 |
| 169 | ETHEastern Africa | 0.26198 |
| 170 | YEMWestern Asia | 0.25915 |
| 171 | AGOMiddle Africa | 0.25777 |
| 172 | UGAEastern Africa | 0.25743 |
| 173 | COMEastern Africa | 0.25590 |
| 174 | BDIEastern Africa | 0.25290 |
| 175 | VENSouth America | 0.24632 |
| 176 | MOZEastern Africa | 0.24344 |
| 177 | NGAWestern Africa | 0.24063 |
| 178 | MDGEastern Africa | 0.23797 |
| 179 | TKMCentral Asia | 0.23208 |
| 180 | PNGMelanesia | 0.22727 |
| 181 | COGMiddle Africa | 0.22308 |
| 182 | MMRSouth-eastern Asia | 0.22033 |
| 183 | ZWEEastern Africa | 0.21854 |
| 184 | HTICaribbean | 0.20343 |
| 185 | SDNNorthern Africa | 0.20072 |
| =186 | TCDMiddle Africa | 0.19556 |
| =186 | IRQWestern Asia | 0.19641 |
| 188 | SOMEastern Africa | 0.18765 |
| =189 | CODMiddle Africa | 0.18100 |
| =189 | ERIEastern Africa | 0.18066 |
| 191 | GNQMiddle Africa | 0.16064 |
| 192 | CAFMiddle Africa | 0.14985 |
02In 2023
At either end
The 5 countries at each end of the headline.
Highest
- #1
Singapore0.74412
- #2
South Korea0.72367
- #3
Finland0.72344
- #4
Denmark0.71198
- #5
Monaco0.70580
Lowest
- #192
Central African Republic0.14985
- #191
Equatorial Guinea0.16064
- #189
Eritrea0.18066
- #189
DR Congo0.18100
- #188
Somalia0.18765
A higher value is the better result. The middle country reads 0.39205. “Shared” marks a value another country also holds.
032022 → 2023
Since 2022
What changed between 2022 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 192values changed, of 192 in both
- 108 · 84rose · fell
- 0unchanged
Rose most
Andorra0.57696 → 0.60518+0.02822
Russia0.44084 → 0.45785+0.01702
Saudi Arabia0.46697 → 0.47879+0.01182
El Salvador0.31639 → 0.32744+0.01105
Ukraine0.43802 → 0.44842+0.01040
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 2023.
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-2023-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 (2023). Climate Readiness (ND-GAIN), 2023 [data set], describing 2023. As held by Nations Inquiry, https://nationsinquiry.com/datasets/climate-readiness/2023
0630 held
Other years
‹ The year before
Climate Readiness (ND-GAIN), 2022192 countries
The year after ›
Climate Readiness (ND-GAIN), 2024192 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), 2023: questions and answers
Which country has the highest climate adaptation readiness in Climate Readiness (ND-GAIN), 2023?
Singapore, at 0.74412, of the 192 countries in the file.
What year does Climate Readiness (ND-GAIN), 2023 describe?
2023.
How many countries does Climate Readiness (ND-GAIN), 2023 cover?
192.
Where can I download Climate Readiness (ND-GAIN), 2023?
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), 2023 the newest?
No. The newest held here is Climate Readiness (ND-GAIN), 2024.