Data for 2000
Climate Readiness (ND-GAIN), 2000
2000, as ND-GAIN’s 2026 release gives it · stored as published, never rewritten
Climate Readiness (ND-GAIN), 2000 covers 192 countries. Finland is highest, at 0.78338; Angola is lowest, at 0.16588. The middle country reads 0.38406. Against 1999, 191 values changed (127 up, 64 down), the same countries are covered.
Climate Readiness (ND-GAIN) · Data for 2000
HighestFinland
0.78338LowestAngola
0.16588Shaded 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), 2000, 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 | DNKNorthern Europe | 0.78321 |
| =1 | FINNorthern Europe | 0.78338 |
| 3 | NZLAustralia and New Zealand | 0.78177 |
| 4 | NORNorthern Europe | 0.77808 |
| 5 | SWENorthern Europe | 0.76241 |
| 6 | ISLNorthern Europe | 0.75199 |
| 7 | SGPSouth-eastern Asia | 0.74923 |
| 8 | CHEWestern Europe | 0.74666 |
| 9 | USANorthern America | 0.73644 |
| 10 | DEUWestern Europe | 0.73329 |
| 11 | AUSAustralia and New Zealand | 0.72020 |
| 12 | AUTWestern Europe | 0.71414 |
| 13 | GBRNorthern Europe | 0.71227 |
| 14 | NLDWestern Europe | 0.70703 |
| 15 | CANNorthern America | 0.68586 |
| 16 | LUXWestern Europe | 0.67139 |
| 17 | JPNEastern Asia | 0.67022 |
| 18 | KOREastern Asia | 0.66728 |
| 19 | MCOWestern Europe | 0.66071 |
| 20 | FRAWestern Europe | 0.63434 |
| 21 | SMRSouthern Europe | 0.62636 |
| 22 | IRLNorthern Europe | 0.61339 |
| 23 | DMACaribbean | 0.60591 |
| 24 | BELWestern Europe | 0.59349 |
| 25 | SVNSouthern Europe | 0.58435 |
| 26 | ESTNorthern Europe | 0.58244 |
| 27 | ISRWestern Asia | 0.58073 |
| 28 | ESPSouthern Europe | 0.56409 |
| 29 | LIEWestern Europe | 0.55607 |
| 30 | ITASouthern Europe | 0.55492 |
| 31 | HUNEastern Europe | 0.54893 |
| 32 | NRUMicronesia | 0.54474 |
| 33 | CHLSouth America | 0.53261 |
| 34 | LTUNorthern Europe | 0.52700 |
| 35 | PRTSouthern Europe | 0.52282 |
| 36 | AREWestern Asia | 0.51904 |
| 37 | MLTSouthern Europe | 0.51176 |
| 38 | GRCSouthern Europe | 0.51089 |
| 39 | LVANorthern Europe | 0.50359 |
| 40 | ATGCaribbean | 0.50255 |
| 41 | BRBCaribbean | 0.50055 |
| =42 | MUSEastern Africa | 0.49437 |
| =42 | SVKEastern Europe | 0.49374 |
| 44 | CZEEastern Europe | 0.49123 |
| =45 | CYPWestern Asia | 0.48891 |
| =45 | VCTCaribbean | 0.48876 |
| 47 | BHSCaribbean | 0.48563 |
| 48 | KNACaribbean | 0.48504 |
| 49 | POLEastern Europe | 0.48177 |
| 50 | GRDCaribbean | 0.48125 |
| 51 | BRNSouth-eastern Asia | 0.47457 |
| 52 | THASouth-eastern Asia | 0.47429 |
| =53 | HRVSouthern Europe | 0.47085 |
| =53 | LCACaribbean | 0.47069 |
| 55 | SYCEastern Africa | 0.46965 |
| 56 | OMNWestern Asia | 0.46784 |
| 57 | QATWestern Asia | 0.46594 |
| 58 | PLWMicronesia | 0.46504 |
| 59 | MDVSouthern Asia | 0.45856 |
| 60 | BHRWestern Asia | 0.45813 |
| 61 | MYSSouth-eastern Asia | 0.45612 |
| 62 | ANDSouthern Europe | 0.45267 |
| 63 | SLBMelanesia | 0.44781 |
| 64 | BGREastern Europe | 0.44330 |
| 65 | URYSouth America | 0.44162 |
| 66 | TUNNorthern Africa | 0.43417 |
| 67 | FJIMelanesia | 0.43270 |
| =68 | BWASouthern Africa | 0.43194 |
| =68 | CRICentral America | 0.43221 |
| =68 | WSMPolynesia | 0.43168 |
| =68 | TONPolynesia | 0.43235 |
| 72 | MHLMicronesia | 0.42750 |
| 73 | KIRMicronesia | 0.42533 |
| 74 | KWTWestern Asia | 0.42402 |
| 75 | VUTMelanesia | 0.42031 |
| =76 | MNGEastern Asia | 0.41655 |
| =76 | MNESouthern Europe | 0.41666 |
| 78 | CPVWestern Africa | 0.41577 |
| 79 | SAUWestern Asia | 0.41443 |
| 80 | JORWestern Asia | 0.41285 |
| 81 | FSMMicronesia | 0.40770 |
| =82 | BTNSouthern Asia | 0.40262 |
| =82 | NAMSouthern Africa | 0.40309 |
| 84 | PANCentral America | 0.40207 |
| 85 | PRKEastern Asia | 0.40018 |
| =86 | ARMWestern Asia | 0.39885 |
| =86 | ROUEastern Europe | 0.39888 |
| =86 | TUVPolynesia | 0.39938 |
| 89 | MDAEastern Europe | 0.39849 |
| 90 | TURWestern Asia | 0.39597 |
| 91 | ZAFSouthern Africa | 0.39462 |
| 92 | BLZCentral America | 0.39435 |
| 93 | MARNorthern Africa | 0.39308 |
| 94 | RUSEastern Europe | 0.38971 |
| =95 | KAZCentral Asia | 0.38535 |
| =95 | TLSSouth-eastern Asia | 0.38479 |
| =97 | BRASouth America | 0.38288 |
| =97 | TTOCaribbean | 0.38332 |
| 99 | VNMSouth-eastern Asia | 0.38120 |
| 100 | ARGSouth America | 0.37856 |
| 101 | MEXCentral America | 0.37710 |
| 102 | PERSouth America | 0.37053 |
| =103 | BLREastern Europe | 0.36625 |
| =103 | MKDSouthern Europe | 0.36626 |
| =103 | LKASouthern Asia | 0.36612 |
| 106 | STPMiddle Africa | 0.36535 |
| 107 | GMBWestern Africa | 0.36158 |
| =108 | GHAWestern Africa | 0.35911 |
| =108 | NPLSouthern Asia | 0.35944 |
| 110 | LBNWestern Asia | 0.35802 |
| 111 | MRTWestern Africa | 0.35466 |
| =112 | SWZSouthern Africa | 0.35427 |
| =112 | SURSouth America | 0.35438 |
| 114 | CHNEastern Asia | 0.35304 |
| 115 | GUYSouth America | 0.35206 |
| =116 | JAMCaribbean | 0.34693 |
| =116 | PNGMelanesia | 0.34686 |
| =116 | PHLSouth-eastern Asia | 0.34662 |
| =119 | BENWestern Africa | 0.34493 |
| =119 | DOMCaribbean | 0.34514 |
| =119 | GABMiddle Africa | 0.34528 |
| 122 | ZMBEastern Africa | 0.34378 |
| =123 | SLVCentral America | 0.34144 |
| =123 | SYRWestern Asia | 0.34118 |
| =125 | EGYNorthern Africa | 0.33555 |
| =125 | KGZCentral Asia | 0.33592 |
| =125 | SENWestern Africa | 0.33571 |
| 128 | GEOWestern Asia | 0.33513 |
| 129 | INDSouthern Asia | 0.33168 |
| 130 | IRNSouthern Asia | 0.33092 |
| 131 | BIHSouthern Europe | 0.32724 |
| 132 | BOLSouth America | 0.32534 |
| 133 | UKREastern Europe | 0.32408 |
| =134 | ECUSouth America | 0.32087 |
| =134 | MWIEastern Africa | 0.32120 |
| 136 | AZEWestern Asia | 0.31965 |
| =137 | DJIEastern Africa | 0.31922 |
| =137 | ETHEastern Africa | 0.31938 |
| =137 | MLIWestern Africa | 0.31945 |
| 140 | YEMWestern Asia | 0.31813 |
| =141 | ALBSouthern Europe | 0.31693 |
| =141 | TZAEastern Africa | 0.31662 |
| 143 | PAKSouthern Asia | 0.31410 |
| =144 | MOZEastern Africa | 0.31278 |
| =144 | NICCentral America | 0.31280 |
| 146 | KHMSouth-eastern Asia | 0.31162 |
| =147 | GTMCentral America | 0.30785 |
| =147 | LSOSouthern Africa | 0.30808 |
| =149 | IDNSouth-eastern Asia | 0.30720 |
| =149 | MDGEastern Africa | 0.30735 |
| 151 | TGOWestern Africa | 0.30562 |
| 152 | SRBSouthern Europe | 0.30505 |
| 153 | IRQWestern Asia | 0.30359 |
| 154 | LAOSouth-eastern Asia | 0.30060 |
| 155 | COMEastern Africa | 0.29948 |
| 156 | KENEastern Africa | 0.29830 |
| =157 | CMRMiddle Africa | 0.29685 |
| =157 | HNDCentral America | 0.29658 |
| 159 | BFAWestern Africa | 0.29479 |
| 160 | DZANorthern Africa | 0.29021 |
| =161 | COLSouth America | 0.28649 |
| =161 | UGAEastern Africa | 0.28608 |
| 163 | GINWestern Africa | 0.28353 |
| 164 | BGDSouthern Asia | 0.28283 |
| 165 | PRYSouth America | 0.28099 |
| 166 | VENSouth America | 0.27914 |
| 167 | NERWestern Africa | 0.27710 |
| 168 | GNQMiddle Africa | 0.27225 |
| 169 | ERIEastern Africa | 0.27132 |
| 170 | CUBCaribbean | 0.26871 |
| 171 | GNBWestern Africa | 0.26766 |
| 172 | LBYNorthern Africa | 0.26589 |
| 173 | HTICaribbean | 0.26038 |
| =174 | SDNNorthern Africa | 0.25904 |
| =174 | UZBCentral Asia | 0.25902 |
| 176 | RWAEastern Africa | 0.25698 |
| =177 | COGMiddle Africa | 0.25076 |
| =177 | TJKCentral Asia | 0.25109 |
| 179 | TKMCentral Asia | 0.24767 |
| 180 | AFGSouthern Asia | 0.24556 |
| 181 | CIVWestern Africa | 0.23963 |
| 182 | SOMEastern Africa | 0.23945 |
| =183 | TCDMiddle Africa | 0.23477 |
| =183 | LBRWestern Africa | 0.23475 |
| 185 | ZWEEastern Africa | 0.23283 |
| 186 | SLEWestern Africa | 0.23080 |
| 187 | BDIEastern Africa | 0.22482 |
| 188 | NGAWestern Africa | 0.22200 |
| 189 | CAFMiddle Africa | 0.20715 |
| 190 | MMRSouth-eastern Asia | 0.17712 |
| 191 | CODMiddle Africa | 0.16688 |
| 192 | AGOMiddle Africa | 0.16588 |
02In 2000
At either end
The 5 countries at each end of the headline.
Highest
- #1
Finland0.78338
- #1
Denmark0.78321
- #3
New Zealand0.78177
- #4
Norway0.77808
- #5
Sweden0.76241
Lowest
- #192
Angola0.16588
- #191
DR Congo0.16688
- #190
Myanmar0.17712
- #189
Central African Republic0.20715
- #188
Nigeria0.22200
A higher value is the better result. The middle country reads 0.38406. “Shared” marks a value another country also holds.
031999 → 2000
Since 1999
What changed between 1999 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 191values changed, of 192 in both
- 127 · 64rose · fell
- 1unchanged
Rose most
Luxembourg0.58857 → 0.67139+0.08282
Iceland0.72075 → 0.75199+0.03124
Singapore0.72293 → 0.74923+0.02630
Malta0.48936 → 0.51176+0.02240
Croatia0.45284 → 0.47085+0.01801
Fell most
Solomon Islands0.47395 → 0.44781−0.02614
Zimbabwe0.25276 → 0.23283−0.01994
Jamaica0.36619 → 0.34693−0.01926
Monaco0.67881 → 0.66071−0.01809
Côte d’Ivoire0.25715 → 0.23963−0.01753
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 2000.
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-2000-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 (2000). Climate Readiness (ND-GAIN), 2000 [data set], describing 2000. As held by Nations Inquiry, https://nationsinquiry.com/datasets/climate-readiness/2000
0630 held
Other years
‹ The year before
Climate Readiness (ND-GAIN), 1999192 countries
The year after ›
Climate Readiness (ND-GAIN), 2001192 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), 2000: questions and answers
Which country has the highest climate adaptation readiness in Climate Readiness (ND-GAIN), 2000?
Finland, at 0.78338, of the 192 countries in the file.
What year does Climate Readiness (ND-GAIN), 2000 describe?
2000.
How many countries does Climate Readiness (ND-GAIN), 2000 cover?
192.
Where can I download Climate Readiness (ND-GAIN), 2000?
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), 2000 the newest?
No. The newest held here is Climate Readiness (ND-GAIN), 2024.