Data for 1999
Climate Readiness (ND-GAIN), 1999
1999, as ND-GAIN’s 2026 release gives it · stored as published, never rewritten
Climate Readiness (ND-GAIN), 1999 covers 192 countries. Finland is highest, at 0.78200; DR Congo is lowest, at 0.16532. The middle country reads 0.38243. Against 1998, 191 values changed (118 up, 73 down), the same countries are covered.
Climate Readiness (ND-GAIN) · Data for 1999
HighestFinland
0.78200LowestDR Congo
0.16532Shaded 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), 1999, 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 | 0.78200 |
| =1 | NZLAustralia and New Zealand | 0.78153 |
| 3 | DNKNorthern Europe | 0.77898 |
| 4 | NORNorthern Europe | 0.77696 |
| 5 | SWENorthern Europe | 0.75877 |
| 6 | CHEWestern Europe | 0.74000 |
| 7 | USANorthern America | 0.73011 |
| 8 | DEUWestern Europe | 0.72904 |
| 9 | SGPSouth-eastern Asia | 0.72293 |
| 10 | ISLNorthern Europe | 0.72075 |
| 11 | AUSAustralia and New Zealand | 0.71403 |
| 12 | GBRNorthern Europe | 0.71001 |
| 13 | AUTWestern Europe | 0.70912 |
| 14 | NLDWestern Europe | 0.70567 |
| =15 | CANNorthern America | 0.67945 |
| =15 | MCOWestern Europe | 0.67881 |
| 17 | JPNEastern Asia | 0.66362 |
| 18 | KOREastern Asia | 0.65579 |
| 19 | FRAWestern Europe | 0.63067 |
| 20 | SMRSouthern Europe | 0.62387 |
| 21 | IRLNorthern Europe | 0.61169 |
| 22 | DMACaribbean | 0.60712 |
| 23 | LUXWestern Europe | 0.58857 |
| 24 | BELWestern Europe | 0.58593 |
| 25 | SVNSouthern Europe | 0.58368 |
| 26 | ISRWestern Asia | 0.58006 |
| 27 | ESTNorthern Europe | 0.57787 |
| =28 | LIEWestern Europe | 0.55596 |
| =28 | ESPSouthern Europe | 0.55606 |
| 30 | NRUMicronesia | 0.54510 |
| 31 | HUNEastern Europe | 0.54444 |
| 32 | ITASouthern Europe | 0.53863 |
| 33 | LTUNorthern Europe | 0.53157 |
| 34 | PRTSouthern Europe | 0.52397 |
| 35 | CHLSouth America | 0.52074 |
| 36 | AREWestern Asia | 0.51525 |
| 37 | GRCSouthern Europe | 0.50607 |
| 38 | LVANorthern Europe | 0.50243 |
| =39 | ATGCaribbean | 0.50124 |
| =39 | CZEEastern Europe | 0.50064 |
| 41 | MUSEastern Africa | 0.49509 |
| =42 | BRBCaribbean | 0.49257 |
| =42 | SVKEastern Europe | 0.49282 |
| 44 | MLTSouthern Europe | 0.48936 |
| 45 | VCTCaribbean | 0.48841 |
| =46 | CYPWestern Asia | 0.48497 |
| =46 | POLEastern Europe | 0.48459 |
| 48 | KNACaribbean | 0.48372 |
| 49 | BHSCaribbean | 0.48321 |
| 50 | GRDCaribbean | 0.48020 |
| 51 | SLBMelanesia | 0.47395 |
| 52 | BRNSouth-eastern Asia | 0.47197 |
| =53 | SYCEastern Africa | 0.46883 |
| =53 | THASouth-eastern Asia | 0.46923 |
| =55 | OMNWestern Asia | 0.46504 |
| =55 | PLWMicronesia | 0.46516 |
| =55 | LCACaribbean | 0.46477 |
| 58 | QATWestern Asia | 0.45996 |
| 59 | BHRWestern Asia | 0.45415 |
| 60 | HRVSouthern Europe | 0.45284 |
| 61 | BGREastern Europe | 0.45213 |
| =62 | ANDSouthern Europe | 0.45111 |
| =62 | MYSSouth-eastern Asia | 0.45142 |
| 64 | MDVSouthern Asia | 0.44918 |
| 65 | FJIMelanesia | 0.44396 |
| 66 | URYSouth America | 0.44023 |
| 67 | WSMPolynesia | 0.43587 |
| 68 | TUNNorthern Africa | 0.43267 |
| =69 | BWASouthern Africa | 0.43103 |
| =69 | CRICentral America | 0.43057 |
| 71 | TONPolynesia | 0.42981 |
| 72 | KIRMicronesia | 0.42515 |
| =73 | KWTWestern Asia | 0.42229 |
| =73 | MNGEastern Asia | 0.42204 |
| 75 | MHLMicronesia | 0.41975 |
| 76 | VUTMelanesia | 0.41484 |
| 77 | MNESouthern Europe | 0.41433 |
| 78 | JORWestern Asia | 0.41316 |
| 79 | SAUWestern Asia | 0.41203 |
| =80 | CPVWestern Africa | 0.41050 |
| =80 | ROUEastern Europe | 0.40957 |
| 82 | FSMMicronesia | 0.40759 |
| =83 | MDAEastern Europe | 0.40736 |
| =83 | NAMSouthern Africa | 0.40690 |
| 85 | PANCentral America | 0.40543 |
| 86 | BTNSouthern Asia | 0.40449 |
| 87 | ARMWestern Asia | 0.40109 |
| 88 | TUVPolynesia | 0.39947 |
| =89 | MARNorthern Africa | 0.39735 |
| =89 | PRKEastern Asia | 0.39680 |
| 91 | BLZCentral America | 0.39294 |
| 92 | TTOCaribbean | 0.38964 |
| 93 | ZAFSouthern Africa | 0.38827 |
| 94 | TURWestern Asia | 0.38674 |
| 95 | TLSSouth-eastern Asia | 0.38479 |
| 96 | KAZCentral Asia | 0.38352 |
| =97 | RUSEastern Europe | 0.38104 |
| =97 | VNMSouth-eastern Asia | 0.38134 |
| 99 | ARGSouth America | 0.37869 |
| 100 | BRASouth America | 0.37839 |
| 101 | PERSouth America | 0.37562 |
| 102 | MKDSouthern Europe | 0.37351 |
| 103 | LKASouthern Asia | 0.37091 |
| =104 | BLREastern Europe | 0.36970 |
| =104 | MEXCentral America | 0.36972 |
| 106 | NPLSouthern Asia | 0.36885 |
| 107 | JAMCaribbean | 0.36619 |
| 108 | STPMiddle Africa | 0.36502 |
| =109 | GMBWestern Africa | 0.36196 |
| =109 | PHLSouth-eastern Asia | 0.36162 |
| 111 | GUYSouth America | 0.35729 |
| 112 | SWZSouthern Africa | 0.35569 |
| =113 | MRTWestern Africa | 0.35415 |
| =113 | SURSouth America | 0.35395 |
| 115 | LBNWestern Asia | 0.35163 |
| 116 | CHNEastern Asia | 0.35085 |
| 117 | PNGMelanesia | 0.35014 |
| 118 | GHAWestern Africa | 0.34882 |
| 119 | BENWestern Africa | 0.34769 |
| 120 | DOMCaribbean | 0.34150 |
| =121 | SLVCentral America | 0.34119 |
| =121 | SYRWestern Asia | 0.34140 |
| =121 | ZMBEastern Africa | 0.34146 |
| 124 | GABMiddle Africa | 0.34031 |
| 125 | EGYNorthern Africa | 0.33633 |
| 126 | BOLSouth America | 0.33383 |
| 127 | SENWestern Africa | 0.33299 |
| 128 | KGZCentral Asia | 0.33091 |
| =129 | GEOWestern Asia | 0.32945 |
| =129 | INDSouthern Asia | 0.32877 |
| =131 | ECUSouth America | 0.32813 |
| =131 | IRNSouthern Asia | 0.32836 |
| 133 | BIHSouthern Europe | 0.32381 |
| =134 | ALBSouthern Europe | 0.32248 |
| =134 | UKREastern Europe | 0.32174 |
| =136 | ETHEastern Africa | 0.32083 |
| =136 | MWIEastern Africa | 0.32118 |
| =136 | MLIWestern Africa | 0.32115 |
| 139 | YEMWestern Asia | 0.31981 |
| 140 | TZAEastern Africa | 0.31927 |
| 141 | AZEWestern Asia | 0.31821 |
| =142 | MOZEastern Africa | 0.31607 |
| =142 | PAKSouthern Asia | 0.31613 |
| 144 | DJIEastern Africa | 0.31510 |
| 145 | NICCentral America | 0.30952 |
| =146 | KHMSouth-eastern Asia | 0.30836 |
| =146 | MDGEastern Africa | 0.30792 |
| 148 | IDNSouth-eastern Asia | 0.30691 |
| 149 | LSOSouthern Africa | 0.30558 |
| =150 | COMEastern Africa | 0.30537 |
| =150 | TGOWestern Africa | 0.30481 |
| =152 | LAOSouth-eastern Asia | 0.30396 |
| =152 | SRBSouthern Europe | 0.30444 |
| 154 | IRQWestern Asia | 0.30256 |
| 155 | GTMCentral America | 0.29875 |
| 156 | KENEastern Africa | 0.29710 |
| =157 | CMRMiddle Africa | 0.29549 |
| =157 | HNDCentral America | 0.29531 |
| =159 | BFAWestern Africa | 0.29363 |
| =159 | GINWestern Africa | 0.29359 |
| 161 | UGAEastern Africa | 0.29100 |
| =162 | BGDSouthern Asia | 0.28841 |
| =162 | COLSouth America | 0.28795 |
| 164 | DZANorthern Africa | 0.28633 |
| 165 | PRYSouth America | 0.28434 |
| 166 | VENSouth America | 0.27967 |
| 167 | NERWestern Africa | 0.27376 |
| 168 | ERIEastern Africa | 0.27256 |
| 169 | GNQMiddle Africa | 0.27075 |
| 170 | CUBCaribbean | 0.26571 |
| 171 | LBYNorthern Africa | 0.26339 |
| =172 | HTICaribbean | 0.25930 |
| =172 | SDNNorthern Africa | 0.25878 |
| =174 | CIVWestern Africa | 0.25715 |
| =174 | UZBCentral Asia | 0.25711 |
| 176 | RWAEastern Africa | 0.25392 |
| 177 | ZWEEastern Africa | 0.25276 |
| 178 | GNBWestern Africa | 0.25230 |
| 179 | TKMCentral Asia | 0.24974 |
| 180 | AFGSouthern Asia | 0.24563 |
| 181 | TJKCentral Asia | 0.24528 |
| 182 | COGMiddle Africa | 0.24043 |
| =183 | TCDMiddle Africa | 0.23474 |
| =183 | SOMEastern Africa | 0.23465 |
| 185 | SLEWestern Africa | 0.22865 |
| 186 | NGAWestern Africa | 0.22777 |
| 187 | BDIEastern Africa | 0.21810 |
| 188 | LBRWestern Africa | 0.21679 |
| 189 | CAFMiddle Africa | 0.20688 |
| 190 | MMRSouth-eastern Asia | 0.17607 |
| 191 | AGOMiddle Africa | 0.16586 |
| 192 | CODMiddle Africa | 0.16532 |
02In 1999
At either end
The 5 countries at each end of the headline.
Highest
- #1
Finland0.78200
- #1
New Zealand0.78153
- #3
Denmark0.77898
- #4
Norway0.77696
- #5
Sweden0.75877
Lowest
- #192
DR Congo0.16532
- #191
Angola0.16586
- #190
Myanmar0.17607
- #189
Central African Republic0.20688
- #188
Liberia0.21679
A higher value is the better result. The middle country reads 0.38243. “Shared” marks a value another country also holds.
031998 → 1999
Since 1998
What changed between 1998 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 191values changed, of 192 in both
- 118 · 73rose · fell
- 1unchanged
Rose most
Monaco0.61190 → 0.67881+0.06690
Guinea-Bissau0.23702 → 0.25230+0.01528
Croatia0.43772 → 0.45284+0.01512
Singapore0.70884 → 0.72293+0.01409
Russia0.36729 → 0.38104+0.01375
Fell most
Solomon Islands0.50009 → 0.47395−0.02614
Zimbabwe0.27272 → 0.25276−0.01996
Côte d’Ivoire0.27483 → 0.25715−0.01767
Latvia0.52010 → 0.50243−0.01767
Ecuador0.34562 → 0.32813−0.01749
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 1999.
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-1999-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 (1999). Climate Readiness (ND-GAIN), 1999 [data set], describing 1999. As held by Nations Inquiry, https://nationsinquiry.com/datasets/climate-readiness/1999
0630 held
Other years
‹ The year before
Climate Readiness (ND-GAIN), 1998192 countries
The year after ›
Climate Readiness (ND-GAIN), 2000192 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), 1999: questions and answers
Which country has the highest climate adaptation readiness in Climate Readiness (ND-GAIN), 1999?
Finland, at 0.78200, of the 192 countries in the file.
What year does Climate Readiness (ND-GAIN), 1999 describe?
1999.
How many countries does Climate Readiness (ND-GAIN), 1999 cover?
192.
Where can I download Climate Readiness (ND-GAIN), 1999?
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), 1999 the newest?
No. The newest held here is Climate Readiness (ND-GAIN), 2024.