Data for 1997
Climate Readiness (ND-GAIN), 1997
1997, as ND-GAIN’s 2026 release gives it · stored as published, never rewritten
Climate Readiness (ND-GAIN), 1997 covers 192 countries. Finland is highest, at 0.776265; Angola is lowest, at 0.167462. The middle country reads 0.383579. Against 1996, 190 values changed (103 up, 87 down), the same countries are covered.
Climate Readiness (ND-GAIN) · Data for 1997
HighestFinland
0.776265LowestAngola
0.167462Shaded 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), 1997, 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 | FINNorthern Europe | 0.776265 |
| =2 | NZLAustralia and New Zealand | 0.773578 |
| =2 | NORNorthern Europe | 0.773688 |
| 4 | DNKNorthern Europe | 0.771538 |
| 5 | SWENorthern Europe | 0.752724 |
| 6 | CHEWestern Europe | 0.729717 |
| 7 | DEUWestern Europe | 0.724097 |
| 8 | USANorthern America | 0.722863 |
| 9 | SGPSouth-eastern Asia | 0.707276 |
| 10 | AUTWestern Europe | 0.705483 |
| 11 | GBRNorthern Europe | 0.703818 |
| 12 | AUSAustralia and New Zealand | 0.702199 |
| 13 | NLDWestern Europe | 0.690146 |
| 14 | ISLNorthern Europe | 0.683445 |
| 15 | MCOWestern Europe | 0.679150 |
| 16 | CANNorthern America | 0.665272 |
| 17 | JPNEastern Asia | 0.661779 |
| 18 | KOREastern Asia | 0.649297 |
| 19 | FRAWestern Europe | 0.627718 |
| 20 | LUXWestern Europe | 0.612589 |
| 21 | SMRSouthern Europe | 0.610312 |
| =22 | DMACaribbean | 0.608143 |
| =22 | IRLNorthern Europe | 0.607831 |
| 24 | BELWestern Europe | 0.593906 |
| 25 | SVNSouthern Europe | 0.590657 |
| 26 | ISRWestern Asia | 0.583999 |
| 27 | ESTNorthern Europe | 0.572170 |
| 28 | LIEWestern Europe | 0.556002 |
| =29 | NRUMicronesia | 0.546007 |
| =29 | ESPSouthern Europe | 0.545560 |
| 31 | HUNEastern Europe | 0.542772 |
| 32 | LTUNorthern Europe | 0.540520 |
| 33 | ITASouthern Europe | 0.535396 |
| 34 | PRTSouthern Europe | 0.522049 |
| 35 | CHLSouth America | 0.517527 |
| 36 | LVANorthern Europe | 0.515031 |
| 37 | AREWestern Asia | 0.511783 |
| 38 | CZEEastern Europe | 0.509890 |
| 39 | SLBMelanesia | 0.502797 |
| 40 | ATGCaribbean | 0.499414 |
| 41 | GRCSouthern Europe | 0.496792 |
| 42 | MLTSouthern Europe | 0.493978 |
| 43 | MUSEastern Africa | 0.492656 |
| 44 | SVKEastern Europe | 0.490664 |
| 45 | POLEastern Europe | 0.488749 |
| 46 | VCTCaribbean | 0.487298 |
| 47 | BRBCaribbean | 0.485446 |
| =48 | CYPWestern Asia | 0.482424 |
| =48 | KNACaribbean | 0.481869 |
| 50 | BRNSouth-eastern Asia | 0.479557 |
| 51 | GRDCaribbean | 0.478992 |
| 52 | BHSCaribbean | 0.477808 |
| =53 | PLWMicronesia | 0.465464 |
| =53 | LCACaribbean | 0.464920 |
| =53 | SYCEastern Africa | 0.464981 |
| 56 | OMNWestern Asia | 0.459014 |
| =57 | BGREastern Europe | 0.457150 |
| =57 | THASouth-eastern Asia | 0.457419 |
| 59 | FJIMelanesia | 0.454995 |
| 60 | MYSSouth-eastern Asia | 0.451824 |
| 61 | ANDSouthern Europe | 0.447519 |
| 62 | QATWestern Asia | 0.446436 |
| 63 | BHRWestern Asia | 0.444045 |
| 64 | MDVSouthern Asia | 0.440875 |
| 65 | URYSouth America | 0.437596 |
| 66 | WSMPolynesia | 0.435747 |
| 67 | HRVSouthern Europe | 0.433866 |
| =68 | MNGEastern Asia | 0.432466 |
| =68 | ROUEastern Europe | 0.431972 |
| 70 | TONPolynesia | 0.429529 |
| =71 | BWASouthern Africa | 0.427015 |
| =71 | CRICentral America | 0.427148 |
| 73 | TUNNorthern Africa | 0.426236 |
| =74 | KIRMicronesia | 0.425059 |
| =74 | KWTWestern Asia | 0.424530 |
| 76 | MDAEastern Europe | 0.424443 |
| 77 | NAMSouthern Africa | 0.415583 |
| =78 | MHLMicronesia | 0.412070 |
| =78 | MNESouthern Europe | 0.412009 |
| 80 | VUTMelanesia | 0.410146 |
| =81 | BTNSouthern Asia | 0.407164 |
| =81 | CPVWestern Africa | 0.407121 |
| =81 | JORWestern Asia | 0.407467 |
| =81 | FSMMicronesia | 0.407094 |
| 85 | SAUWestern Asia | 0.405815 |
| 86 | PERSouth America | 0.404134 |
| 87 | PANCentral America | 0.401387 |
| 88 | TUVPolynesia | 0.399521 |
| 89 | MARNorthern Africa | 0.399011 |
| 90 | TTOCaribbean | 0.396359 |
| 91 | BLZCentral America | 0.392640 |
| 92 | ZAFSouthern Africa | 0.390139 |
| 93 | PRKEastern Asia | 0.387267 |
| 94 | TLSSouth-eastern Asia | 0.384787 |
| =95 | ARMWestern Asia | 0.383670 |
| =95 | MKDSouthern Europe | 0.383931 |
| 97 | ARGSouth America | 0.383489 |
| 98 | NPLSouthern Asia | 0.381768 |
| 99 | VNMSouth-eastern Asia | 0.380277 |
| 100 | TURWestern Asia | 0.379450 |
| 101 | PHLSouth-eastern Asia | 0.373927 |
| =102 | JAMCaribbean | 0.373065 |
| =102 | KAZCentral Asia | 0.373361 |
| =102 | LKASouthern Asia | 0.373380 |
| 105 | BRASouth America | 0.371837 |
| 106 | STPMiddle Africa | 0.365710 |
| =107 | BLREastern Europe | 0.360301 |
| =107 | GUYSouth America | 0.360434 |
| 109 | RUSEastern Europe | 0.359069 |
| 110 | SWZSouthern Africa | 0.358270 |
| =111 | GMBWestern Africa | 0.356684 |
| =111 | MEXCentral America | 0.356967 |
| 113 | CHNEastern Asia | 0.355411 |
| 114 | MRTWestern Africa | 0.353732 |
| =115 | BENWestern Africa | 0.352030 |
| =115 | SURSouth America | 0.351826 |
| 117 | PNGMelanesia | 0.349788 |
| 118 | SYRWestern Asia | 0.347538 |
| 119 | LBNWestern Asia | 0.346620 |
| 120 | ECUSouth America | 0.341618 |
| 121 | GHAWestern Africa | 0.341076 |
| =122 | BOLSouth America | 0.339729 |
| =122 | DOMCaribbean | 0.340085 |
| =124 | EGYNorthern Africa | 0.338530 |
| =124 | ZMBEastern Africa | 0.338529 |
| 126 | SLVCentral America | 0.335251 |
| 127 | KGZCentral Asia | 0.334164 |
| 128 | ALBSouthern Europe | 0.331617 |
| 129 | GABMiddle Africa | 0.328553 |
| 130 | SENWestern Africa | 0.328311 |
| =131 | INDSouthern Asia | 0.324574 |
| =131 | IRNSouthern Asia | 0.324713 |
| 133 | BIHSouthern Europe | 0.323709 |
| =134 | MLIWestern Africa | 0.323045 |
| =134 | PAKSouthern Asia | 0.322687 |
| 136 | TZAEastern Africa | 0.321291 |
| =137 | GEOWestern Asia | 0.319890 |
| =137 | YEMWestern Asia | 0.320495 |
| 139 | IDNSouth-eastern Asia | 0.317071 |
| =140 | MWIEastern Africa | 0.316251 |
| =140 | MOZEastern Africa | 0.316175 |
| 142 | SRBSouthern Europe | 0.314500 |
| 143 | UKREastern Europe | 0.313262 |
| =144 | DJIEastern Africa | 0.312288 |
| =144 | ETHEastern Africa | 0.312285 |
| 146 | COMEastern Africa | 0.310900 |
| 147 | AZEWestern Asia | 0.310383 |
| 148 | LAOSouth-eastern Asia | 0.309061 |
| =149 | LSOSouthern Africa | 0.308299 |
| =149 | NICCentral America | 0.307513 |
| 151 | TGOWestern Africa | 0.306230 |
| =152 | KHMSouth-eastern Asia | 0.305310 |
| =152 | MDGEastern Africa | 0.305247 |
| 154 | UGAEastern Africa | 0.304046 |
| 155 | GINWestern Africa | 0.302741 |
| 156 | IRQWestern Asia | 0.301468 |
| =157 | HNDCentral America | 0.298823 |
| =157 | KENEastern Africa | 0.299173 |
| =159 | BGDSouthern Asia | 0.293458 |
| =159 | PRYSouth America | 0.292843 |
| =161 | BFAWestern Africa | 0.292013 |
| =161 | COLSouth America | 0.292029 |
| 163 | GTMCentral America | 0.290094 |
| 164 | DZANorthern Africa | 0.288106 |
| 165 | CMRMiddle Africa | 0.285228 |
| 166 | CIVWestern Africa | 0.282620 |
| 167 | VENSouth America | 0.281615 |
| 168 | ZWEEastern Africa | 0.278396 |
| 169 | ERIEastern Africa | 0.273830 |
| 170 | NERWestern Africa | 0.271757 |
| 171 | GNQMiddle Africa | 0.269904 |
| 172 | HTICaribbean | 0.263236 |
| =173 | CUBCaribbean | 0.258022 |
| =173 | UZBCentral Asia | 0.258060 |
| 175 | LBYNorthern Africa | 0.257153 |
| 176 | SDNNorthern Africa | 0.255982 |
| 177 | RWAEastern Africa | 0.251829 |
| 178 | TKMCentral Asia | 0.249052 |
| 179 | AFGSouthern Asia | 0.244789 |
| 180 | GNBWestern Africa | 0.240008 |
| 181 | COGMiddle Africa | 0.238351 |
| 182 | TCDMiddle Africa | 0.235783 |
| 183 | TJKCentral Asia | 0.234114 |
| 184 | NGAWestern Africa | 0.233322 |
| 185 | SLEWestern Africa | 0.228452 |
| 186 | SOMEastern Africa | 0.221959 |
| 187 | BDIEastern Africa | 0.212188 |
| 188 | CAFMiddle Africa | 0.206415 |
| 189 | LBRWestern Africa | 0.199030 |
| 190 | MMRSouth-eastern Asia | 0.176048 |
| 191 | CODMiddle Africa | 0.169005 |
| 192 | AGOMiddle Africa | 0.167462 |
02In 1997
At either end
The 5 countries at each end of the headline.
Highest
- #1
Finland0.776265
- #2
Norway0.773688
- #2
New Zealand0.773578
- #4
Denmark0.771538
- #5
Sweden0.752724
Lowest
- #192
Angola0.167462
- #191
DR Congo0.169005
- #190
Myanmar0.176048
- #189
Liberia0.199030
- #188
Central African Republic0.206415
A higher value is the better result. The middle country reads 0.383579. “Shared” marks a value another country also holds.
031996 → 1997
Since 1996
What changed between 1996 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 190values changed, of 192 in both
- 103 · 87rose · fell
- 2unchanged
Rose most
Fell most
Indonesia0.328597 → 0.317071−0.011525
Brunei0.491026 → 0.479557−0.011469
Serbia0.325175 → 0.314500−0.010676
Luxembourg0.620858 → 0.612589−0.008269
Côte d’Ivoire0.290000 → 0.282620−0.007380
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 1997.
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-1997-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 (1997). Climate Readiness (ND-GAIN), 1997 [data set], describing 1997. As held by Nations Inquiry, https://nationsinquiry.com/datasets/climate-readiness/1997
0630 held
Other years
‹ The year before
Climate Readiness (ND-GAIN), 1996192 countries
The year after ›
Climate Readiness (ND-GAIN), 1998192 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), 1997: questions and answers
Which country has the highest climate adaptation readiness in Climate Readiness (ND-GAIN), 1997?
Finland, at 0.776265, of the 192 countries in the file.
What year does Climate Readiness (ND-GAIN), 1997 describe?
1997.
How many countries does Climate Readiness (ND-GAIN), 1997 cover?
192.
Where can I download Climate Readiness (ND-GAIN), 1997?
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), 1997 the newest?
No. The newest held here is Climate Readiness (ND-GAIN), 2024.