Data for 2024
Climate Readiness (ND-GAIN), 2024
2024, as ND-GAIN’s 2026 release gives it · stored as published, never rewritten
Climate Readiness (ND-GAIN), 2024 covers 192 countries. Singapore is highest, at 0.74947; Central African Republic is lowest, at 0.13683. The middle country reads 0.38733. Against 2023, 192 values changed (94 up, 98 down), the same countries are covered.
Climate Readiness (ND-GAIN) · Data for 2024
HighestSingapore
0.74947LowestCentral African Republic
0.13683Shaded 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), 2024, 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 | 0.74947 |
| 2 | FINNorthern Europe | 0.72742 |
| 3 | KOREastern Asia | 0.72170 |
| 4 | MCOWestern Europe | 0.71486 |
| 5 | DNKNorthern Europe | 0.70714 |
| 6 | SMRSouthern Europe | 0.70498 |
| 7 | NORNorthern Europe | 0.70045 |
| 8 | SWENorthern Europe | 0.68141 |
| 9 | DEUWestern Europe | 0.68028 |
| 10 | AUTWestern Europe | 0.67872 |
| 11 | CHEWestern Europe | 0.67390 |
| 12 | LIEWestern Europe | 0.66987 |
| 13 | JPNEastern Asia | 0.66748 |
| 14 | LUXWestern Europe | 0.66060 |
| 15 | NLDWestern Europe | 0.65939 |
| 16 | AUSAustralia and New Zealand | 0.65849 |
| 17 | GBRNorthern Europe | 0.65349 |
| 18 | CANNorthern America | 0.64342 |
| 19 | FRAWestern Europe | 0.63942 |
| 20 | USANorthern America | 0.63182 |
| 21 | NZLAustralia and New Zealand | 0.62166 |
| 22 | KNACaribbean | 0.61978 |
| 23 | DMACaribbean | 0.61242 |
| 24 | ANDSouthern Europe | 0.61114 |
| =25 | ESTNorthern Europe | 0.60875 |
| =25 | ISLNorthern Europe | 0.60853 |
| =27 | CZEEastern Europe | 0.60686 |
| =27 | SVNSouthern Europe | 0.60718 |
| =29 | BELWestern Europe | 0.60489 |
| =29 | IRLNorthern Europe | 0.60453 |
| 31 | ITASouthern Europe | 0.60061 |
| 32 | LVANorthern Europe | 0.58869 |
| 33 | PLWMicronesia | 0.58162 |
| 34 | LTUNorthern Europe | 0.57870 |
| 35 | PRTSouthern Europe | 0.57203 |
| 36 | NRUMicronesia | 0.57088 |
| 37 | POLEastern Europe | 0.57014 |
| 38 | BRBCaribbean | 0.56939 |
| 39 | GRCSouthern Europe | 0.56390 |
| 40 | ESPSouthern Europe | 0.55720 |
| 41 | CHLSouth America | 0.54806 |
| 42 | HRVSouthern Europe | 0.54156 |
| 43 | ISRWestern Asia | 0.53975 |
| 44 | SVKEastern Europe | 0.53277 |
| 45 | HUNEastern Europe | 0.52858 |
| 46 | GRDCaribbean | 0.52787 |
| 47 | GEOWestern Asia | 0.51851 |
| 48 | ROUEastern Europe | 0.51805 |
| 49 | CYPWestern Asia | 0.50415 |
| 50 | SAUWestern Asia | 0.49367 |
| 51 | AREWestern Asia | 0.49017 |
| 52 | URYSouth America | 0.48758 |
| 53 | MLTSouthern Europe | 0.48701 |
| 54 | BGREastern Europe | 0.48615 |
| =55 | KAZCentral Asia | 0.48379 |
| =55 | MDAEastern Europe | 0.48441 |
| 57 | SRBSouthern Europe | 0.47920 |
| 58 | MUSEastern Africa | 0.47840 |
| 59 | CRICentral America | 0.47671 |
| =60 | VCTCaribbean | 0.47245 |
| =60 | TURWestern Asia | 0.47196 |
| 62 | ALBSouthern Europe | 0.46798 |
| 63 | BHRWestern Asia | 0.46554 |
| 64 | MYSSouth-eastern Asia | 0.46497 |
| 65 | MNESouthern Europe | 0.46318 |
| 66 | QATWestern Asia | 0.46204 |
| 67 | MKDSouthern Europe | 0.45870 |
| 68 | ARMWestern Asia | 0.45689 |
| =69 | CHNEastern Asia | 0.45498 |
| =69 | UKREastern Europe | 0.45533 |
| 71 | TUVPolynesia | 0.44979 |
| 72 | UZBCentral Asia | 0.44224 |
| 73 | ATGCaribbean | 0.44074 |
| 74 | FJIMelanesia | 0.43783 |
| 75 | RUSEastern Europe | 0.43655 |
| 76 | OMNWestern Asia | 0.43637 |
| 77 | BLREastern Europe | 0.43375 |
| 78 | AZEWestern Asia | 0.43026 |
| 79 | JORWestern Asia | 0.42712 |
| =80 | BHSCaribbean | 0.42170 |
| =80 | RWAEastern Africa | 0.42166 |
| 82 | MHLMicronesia | 0.41990 |
| 83 | KWTWestern Asia | 0.41813 |
| =84 | BRNSouth-eastern Asia | 0.41730 |
| =84 | LCACaribbean | 0.41721 |
| =84 | VNMSouth-eastern Asia | 0.41694 |
| 87 | COLSouth America | 0.41576 |
| 88 | ARGSouth America | 0.41540 |
| 89 | BTNSouthern Asia | 0.41416 |
| =90 | DOMCaribbean | 0.40471 |
| =90 | MDVSouthern Asia | 0.40534 |
| 92 | MARNorthern Africa | 0.40319 |
| =93 | JAMCaribbean | 0.40185 |
| =93 | SYCEastern Africa | 0.40150 |
| 95 | IDNSouth-eastern Asia | 0.39785 |
| 96 | MNGEastern Asia | 0.38951 |
| 97 | GUYSouth America | 0.38514 |
| 98 | BWASouthern Africa | 0.38392 |
| 99 | PERSouth America | 0.38330 |
| 100 | SLBMelanesia | 0.38247 |
| =101 | BRASouth America | 0.38103 |
| =101 | CPVWestern Africa | 0.38083 |
| =103 | BIHSouthern Europe | 0.38029 |
| =103 | PRKEastern Asia | 0.37957 |
| 105 | IRNSouthern Asia | 0.37892 |
| =106 | DZANorthern Africa | 0.37813 |
| =106 | PANCentral America | 0.37776 |
| 108 | EGYNorthern Africa | 0.37746 |
| 109 | SENWestern Africa | 0.37557 |
| 110 | KIRMicronesia | 0.37341 |
| =111 | BENWestern Africa | 0.37215 |
| =111 | KGZCentral Asia | 0.37177 |
| =111 | PHLSouth-eastern Asia | 0.37210 |
| 114 | SURSouth America | 0.37008 |
| 115 | BLZCentral America | 0.36612 |
| 116 | MEXCentral America | 0.36361 |
| 117 | INDSouthern Asia | 0.36208 |
| 118 | FSMMicronesia | 0.36149 |
| 119 | STPMiddle Africa | 0.35892 |
| 120 | GHAWestern Africa | 0.35678 |
| 121 | TGOWestern Africa | 0.35356 |
| 122 | TONPolynesia | 0.35335 |
| 123 | THASouth-eastern Asia | 0.35077 |
| =124 | ECUSouth America | 0.34826 |
| =124 | NAMSouthern Africa | 0.34811 |
| 126 | LKASouthern Asia | 0.34576 |
| =127 | WSMPolynesia | 0.33994 |
| =127 | TUNNorthern Africa | 0.34048 |
| =129 | PRYSouth America | 0.33608 |
| =129 | TZAEastern Africa | 0.33630 |
| 131 | LBNWestern Asia | 0.32957 |
| =132 | SLVCentral America | 0.32783 |
| =132 | GTMCentral America | 0.32828 |
| =134 | DJIEastern Africa | 0.32719 |
| =134 | NPLSouthern Asia | 0.32704 |
| =134 | TTOCaribbean | 0.32744 |
| 137 | CUBCaribbean | 0.32604 |
| 138 | KHMSouth-eastern Asia | 0.32130 |
| =139 | ZAFSouthern Africa | 0.31557 |
| =139 | TJKCentral Asia | 0.31561 |
| 141 | BOLSouth America | 0.31192 |
| 142 | PAKSouthern Asia | 0.31046 |
| 143 | CIVWestern Africa | 0.30745 |
| 144 | NICCentral America | 0.30504 |
| 145 | GABMiddle Africa | 0.30203 |
| =146 | SWZSouthern Africa | 0.30104 |
| =146 | VUTMelanesia | 0.30071 |
| 148 | LAOSouth-eastern Asia | 0.29891 |
| 149 | HNDCentral America | 0.29750 |
| 150 | LBRWestern Africa | 0.29605 |
| 151 | NERWestern Africa | 0.29500 |
| 152 | MRTWestern Africa | 0.29319 |
| 153 | LBYNorthern Africa | 0.28965 |
| 154 | GINWestern Africa | 0.28751 |
| 155 | TLSSouth-eastern Asia | 0.28620 |
| 156 | BGDSouthern Asia | 0.28428 |
| =157 | MWIEastern Africa | 0.28116 |
| =157 | SYRWestern Asia | 0.28090 |
| =159 | CMRMiddle Africa | 0.27556 |
| =159 | GNBWestern Africa | 0.27568 |
| =161 | LSOSouthern Africa | 0.27432 |
| =161 | ZMBEastern Africa | 0.27418 |
| 163 | GMBWestern Africa | 0.27301 |
| 164 | AFGSouthern Asia | 0.27211 |
| 165 | BFAWestern Africa | 0.27020 |
| 166 | KENEastern Africa | 0.26773 |
| =167 | MLIWestern Africa | 0.26601 |
| =167 | SLEWestern Africa | 0.26572 |
| 169 | ETHEastern Africa | 0.26240 |
| 170 | COMEastern Africa | 0.25921 |
| 171 | AGOMiddle Africa | 0.25685 |
| 172 | YEMWestern Asia | 0.25606 |
| 173 | UGAEastern Africa | 0.25509 |
| =174 | BDIEastern Africa | 0.24967 |
| =174 | MDGEastern Africa | 0.25015 |
| 176 | NGAWestern Africa | 0.24164 |
| 177 | TKMCentral Asia | 0.23517 |
| 178 | MOZEastern Africa | 0.23377 |
| 179 | VENSouth America | 0.23202 |
| 180 | COGMiddle Africa | 0.22357 |
| 181 | PNGMelanesia | 0.22256 |
| 182 | ZWEEastern Africa | 0.21953 |
| 183 | MMRSouth-eastern Asia | 0.21737 |
| 184 | IRQWestern Asia | 0.20993 |
| 185 | HTICaribbean | 0.19989 |
| 186 | SDNNorthern Africa | 0.19418 |
| =187 | CODMiddle Africa | 0.17800 |
| =187 | SOMEastern Africa | 0.17820 |
| 189 | ERIEastern Africa | 0.17583 |
| 190 | TCDMiddle Africa | 0.16614 |
| 191 | GNQMiddle Africa | 0.16092 |
| 192 | CAFMiddle Africa | 0.13683 |
02In 2024
At either end
The 5 countries at each end of the headline.
Highest
- #1
Singapore0.74947
- #2
Finland0.72742
- #3
South Korea0.72170
- #4
Monaco0.71486
- #5
Denmark0.70714
Lowest
- #192
Central African Republic0.13683
- #191
Equatorial Guinea0.16092
- #190
Chad0.16614
- #189
Eritrea0.17583
- #187
DR Congo0.17800
A higher value is the better result. The middle country reads 0.38733. “Shared” marks a value another country also holds.
032023 → 2024
Since 2023
What changed between 2023 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 192values changed, of 192 in both
- 94 · 98rose · fell
- 0unchanged
Rose most
Palau0.53116 → 0.58162+0.05046
Vanuatu0.27371 → 0.30071+0.02700
Tuvalu0.43349 → 0.44979+0.01630
Marshall Islands0.40369 → 0.41990+0.01621
Saudi Arabia0.47879 → 0.49367+0.01488
Fell most
Nepal0.36314 → 0.32704−0.03610
Chad0.19556 → 0.16614−0.02942
Samoa0.36873 → 0.33994−0.02879
Bangladesh0.31179 → 0.28428−0.02752
Rwanda0.44852 → 0.42166−0.02687
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 2024.
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-2024-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 (2024). Climate Readiness (ND-GAIN), 2024 [data set], describing 2024. As held by Nations Inquiry, https://nationsinquiry.com/datasets/climate-readiness/2024
0630 held
Other years
‹ The year before
Climate Readiness (ND-GAIN), 2023192 countries
The year after ›
This is the newest year. A newer one will get its own page at its own address; this one is never rewritten.
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), 2024: questions and answers
Which country has the highest climate adaptation readiness in Climate Readiness (ND-GAIN), 2024?
Singapore, at 0.74947, of the 192 countries in the file.
What year does Climate Readiness (ND-GAIN), 2024 describe?
2024.
How many countries does Climate Readiness (ND-GAIN), 2024 cover?
192.
Where can I download Climate Readiness (ND-GAIN), 2024?
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), 2024 the newest?
Yes, as of 2026-09-26, when it was read from the publisher.