Data for 2016
Climate Readiness (ND-GAIN), 2016
2016, as ND-GAIN’s 2026 release gives it · stored as published, never rewritten
Climate Readiness (ND-GAIN), 2016 covers 192 countries. Singapore is highest, at 0.80335; Central African Republic is lowest, at 0.13102. The middle country reads 0.40534. Against 2015, 192 values changed (101 up, 91 down), the same countries are covered.
Climate Readiness (ND-GAIN) · Data for 2016
HighestSingapore
0.80335LowestCentral African Republic
0.13102Shaded 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), 2016, 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 | 0.80335 |
| 2 | NORNorthern Europe | 0.80029 |
| 3 | NZLAustralia and New Zealand | 0.79855 |
| 4 | DNKNorthern Europe | 0.79403 |
| 5 | FINNorthern Europe | 0.76883 |
| 6 | SWENorthern Europe | 0.76064 |
| 7 | MCOWestern Europe | 0.74953 |
| 8 | CHEWestern Europe | 0.73023 |
| 9 | KOREastern Asia | 0.72924 |
| 10 | ISLNorthern Europe | 0.72454 |
| 11 | GBRNorthern Europe | 0.71654 |
| 12 | AUSAustralia and New Zealand | 0.71353 |
| 13 | DEUWestern Europe | 0.71164 |
| 14 | NLDWestern Europe | 0.71009 |
| 15 | JPNEastern Asia | 0.70491 |
| 16 | AUTWestern Europe | 0.70390 |
| 17 | LUXWestern Europe | 0.70198 |
| 18 | USANorthern America | 0.67863 |
| 19 | CANNorthern America | 0.67524 |
| 20 | FRAWestern Europe | 0.65947 |
| 21 | SMRSouthern Europe | 0.64736 |
| 22 | ESTNorthern Europe | 0.64085 |
| 23 | LIEWestern Europe | 0.64012 |
| 24 | IRLNorthern Europe | 0.62916 |
| 25 | SVNSouthern Europe | 0.62519 |
| 26 | BELWestern Europe | 0.61722 |
| 27 | LTUNorthern Europe | 0.59813 |
| 28 | LVANorthern Europe | 0.58665 |
| 29 | PRTSouthern Europe | 0.58635 |
| 30 | AREWestern Asia | 0.58463 |
| 31 | POLEastern Europe | 0.57379 |
| 32 | GEOWestern Asia | 0.56785 |
| 33 | CZEEastern Europe | 0.56643 |
| 34 | KNACaribbean | 0.56184 |
| 35 | NRUMicronesia | 0.56038 |
| =36 | CHLSouth America | 0.55499 |
| =36 | ISRWestern Asia | 0.55522 |
| 38 | ESPSouthern Europe | 0.55146 |
| 39 | MUSEastern Africa | 0.54901 |
| 40 | DMACaribbean | 0.54394 |
| =41 | ANDSouthern Europe | 0.52896 |
| =41 | GRDCaribbean | 0.52854 |
| =43 | CYPWestern Asia | 0.52017 |
| =43 | ITASouthern Europe | 0.51992 |
| 45 | RUSEastern Europe | 0.51845 |
| 46 | MYSSouth-eastern Asia | 0.51679 |
| 47 | GRCSouthern Europe | 0.51564 |
| 48 | BRNSouth-eastern Asia | 0.51381 |
| 49 | BRBCaribbean | 0.51349 |
| 50 | HUNEastern Europe | 0.50952 |
| 51 | QATWestern Asia | 0.50550 |
| 52 | MLTSouthern Europe | 0.50536 |
| 53 | SVKEastern Europe | 0.50354 |
| 54 | URYSouth America | 0.50070 |
| =55 | PLWMicronesia | 0.49834 |
| =55 | VCTCaribbean | 0.49781 |
| 57 | SAUWestern Asia | 0.49175 |
| 58 | HRVSouthern Europe | 0.49066 |
| 59 | OMNWestern Asia | 0.49038 |
| 60 | ARMWestern Asia | 0.48942 |
| 61 | BLREastern Europe | 0.48277 |
| 62 | ROUEastern Europe | 0.47673 |
| 63 | FJIMelanesia | 0.47475 |
| 64 | LCACaribbean | 0.47113 |
| 65 | BGREastern Europe | 0.46954 |
| 66 | CRICentral America | 0.46911 |
| 67 | BHRWestern Asia | 0.46822 |
| 68 | MNESouthern Europe | 0.46735 |
| =69 | KAZCentral Asia | 0.46467 |
| =69 | MKDSouthern Europe | 0.46488 |
| 71 | ATGCaribbean | 0.46390 |
| 72 | SYCEastern Africa | 0.46088 |
| =73 | BTNSouthern Asia | 0.45434 |
| =73 | CHNEastern Asia | 0.45395 |
| 75 | THASouth-eastern Asia | 0.45222 |
| 76 | CPVWestern Africa | 0.45027 |
| 77 | BHSCaribbean | 0.44605 |
| 78 | TURWestern Asia | 0.44163 |
| 79 | WSMPolynesia | 0.43579 |
| 80 | TUNNorthern Africa | 0.43355 |
| 81 | MNGEastern Asia | 0.42978 |
| =82 | AZEWestern Asia | 0.42915 |
| =82 | IRNSouthern Asia | 0.42920 |
| 84 | BWASouthern Africa | 0.42471 |
| 85 | MARNorthern Africa | 0.42190 |
| 86 | MHLMicronesia | 0.41970 |
| 87 | TONPolynesia | 0.41787 |
| 88 | SRBSouthern Europe | 0.41664 |
| 89 | SLBMelanesia | 0.41602 |
| 90 | JORWestern Asia | 0.41532 |
| =91 | ALBSouthern Europe | 0.41406 |
| =91 | PANCentral America | 0.41385 |
| 93 | TUVPolynesia | 0.41311 |
| 94 | MDVSouthern Asia | 0.41223 |
| 95 | PERSouth America | 0.41009 |
| 96 | VNMSouth-eastern Asia | 0.40703 |
| 97 | KWTWestern Asia | 0.40366 |
| 98 | MDAEastern Europe | 0.40200 |
| 99 | TLSSouth-eastern Asia | 0.40019 |
| 100 | LKASouthern Asia | 0.39505 |
| 101 | RWAEastern Africa | 0.38882 |
| 102 | UKREastern Europe | 0.38819 |
| =103 | JAMCaribbean | 0.38317 |
| =103 | NAMSouthern Africa | 0.38332 |
| =103 | ZAFSouthern Africa | 0.38293 |
| 106 | COLSouth America | 0.37783 |
| 107 | BIHSouthern Europe | 0.37515 |
| 108 | MEXCentral America | 0.37334 |
| 109 | ARGSouth America | 0.37081 |
| 110 | KGZCentral Asia | 0.37000 |
| 111 | FSMMicronesia | 0.36709 |
| 112 | DOMCaribbean | 0.36563 |
| 113 | VUTMelanesia | 0.36524 |
| 114 | TTOCaribbean | 0.36205 |
| 115 | IDNSouth-eastern Asia | 0.36099 |
| 116 | STPMiddle Africa | 0.35934 |
| 117 | PRYSouth America | 0.35799 |
| 118 | KIRMicronesia | 0.35701 |
| 119 | PRKEastern Asia | 0.35502 |
| 120 | BRASouth America | 0.35186 |
| 121 | GHAWestern Africa | 0.34979 |
| 122 | SLVCentral America | 0.34335 |
| 123 | NPLSouthern Asia | 0.34233 |
| 124 | SENWestern Africa | 0.34109 |
| 125 | BLZCentral America | 0.33924 |
| 126 | PHLSouth-eastern Asia | 0.33171 |
| =127 | EGYNorthern Africa | 0.33038 |
| =127 | MRTWestern Africa | 0.32978 |
| 129 | GUYSouth America | 0.32752 |
| 130 | SURSouth America | 0.32658 |
| 131 | ECUSouth America | 0.32461 |
| 132 | INDSouthern Asia | 0.32135 |
| =133 | BENWestern Africa | 0.32036 |
| =133 | LBNWestern Asia | 0.31959 |
| 135 | CUBCaribbean | 0.31755 |
| =136 | SWZSouthern Africa | 0.31655 |
| =136 | GTMCentral America | 0.31728 |
| =136 | UZBCentral Asia | 0.31701 |
| =139 | LSOSouthern Africa | 0.31484 |
| =139 | ZMBEastern Africa | 0.31497 |
| =141 | DJIEastern Africa | 0.31081 |
| =141 | TGOWestern Africa | 0.31063 |
| 143 | NICCentral America | 0.30615 |
| =144 | GINWestern Africa | 0.30404 |
| =144 | TZAEastern Africa | 0.30435 |
| 146 | DZANorthern Africa | 0.30332 |
| =147 | GMBWestern Africa | 0.30132 |
| =147 | LAOSouth-eastern Asia | 0.30055 |
| 149 | NERWestern Africa | 0.29913 |
| 150 | MLIWestern Africa | 0.29768 |
| 151 | TJKCentral Asia | 0.29552 |
| 152 | COMEastern Africa | 0.29290 |
| 153 | SLEWestern Africa | 0.29170 |
| 154 | GABMiddle Africa | 0.29135 |
| 155 | LBRWestern Africa | 0.28824 |
| =156 | ETHEastern Africa | 0.28647 |
| =156 | PNGMelanesia | 0.28585 |
| 158 | KHMSouth-eastern Asia | 0.28468 |
| =159 | BOLSouth America | 0.27957 |
| =159 | BFAWestern Africa | 0.28019 |
| 161 | PAKSouthern Asia | 0.27746 |
| 162 | CIVWestern Africa | 0.27618 |
| 163 | UGAEastern Africa | 0.27310 |
| 164 | IRQWestern Asia | 0.26883 |
| =165 | HNDCentral America | 0.26637 |
| =165 | KENEastern Africa | 0.26570 |
| =165 | MDGEastern Africa | 0.26560 |
| =165 | MWIEastern Africa | 0.26581 |
| 169 | MMRSouth-eastern Asia | 0.26429 |
| 170 | YEMWestern Asia | 0.26071 |
| =171 | GNBWestern Africa | 0.25682 |
| =171 | MOZEastern Africa | 0.25700 |
| 173 | BGDSouthern Asia | 0.25510 |
| 174 | CMRMiddle Africa | 0.25374 |
| 175 | BDIEastern Africa | 0.25069 |
| 176 | SYRWestern Asia | 0.25037 |
| 177 | SDNNorthern Africa | 0.24827 |
| 178 | SOMEastern Africa | 0.24389 |
| 179 | AFGSouthern Asia | 0.23816 |
| 180 | TKMCentral Asia | 0.23458 |
| 181 | GNQMiddle Africa | 0.23394 |
| 182 | HTICaribbean | 0.22566 |
| 183 | NGAWestern Africa | 0.22305 |
| 184 | LBYNorthern Africa | 0.21984 |
| =185 | AGOMiddle Africa | 0.21517 |
| =185 | COGMiddle Africa | 0.21537 |
| =187 | VENSouth America | 0.19606 |
| =187 | ZWEEastern Africa | 0.19584 |
| 189 | ERIEastern Africa | 0.18914 |
| 190 | CODMiddle Africa | 0.18732 |
| 191 | TCDMiddle Africa | 0.16916 |
| 192 | CAFMiddle Africa | 0.13102 |
02In 2016
At either end
The 5 countries at each end of the headline.
Highest
- #1
Singapore0.80335
- #2
Norway0.80029
- #3
New Zealand0.79855
- #4
Denmark0.79403
- #5
Finland0.76883
Lowest
- #192
Central African Republic0.13102
- #191
Chad0.16916
- #190
DR Congo0.18732
- #189
Eritrea0.18914
- #187
Zimbabwe0.19584
A higher value is the better result. The middle country reads 0.40534. “Shared” marks a value another country also holds.
032015 → 2016
Since 2015
What changed between 2015 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 192values changed, of 192 in both
- 101 · 91rose · fell
- 0unchanged
Rose most
Fell most
Türkiye0.45973 → 0.44163−0.01810
Mozambique0.27155 → 0.25700−0.01455
Malta0.51984 → 0.50536−0.01448
Nauru0.57003 → 0.56038−0.00965
Iceland0.73409 → 0.72454−0.00955
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 2016.
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 · 8.0 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download climate-readiness-2016-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 (2016). Climate Readiness (ND-GAIN), 2016 [data set], describing 2016. As held by Nations Inquiry, https://nationsinquiry.com/datasets/climate-readiness/2016
0630 held
Other years
‹ The year before
Climate Readiness (ND-GAIN), 2015192 countries
The year after ›
Climate Readiness (ND-GAIN), 2017192 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), 2016: questions and answers
Which country has the highest climate adaptation readiness in Climate Readiness (ND-GAIN), 2016?
Singapore, at 0.80335, of the 192 countries in the file.
What year does Climate Readiness (ND-GAIN), 2016 describe?
2016.
How many countries does Climate Readiness (ND-GAIN), 2016 cover?
192.
Where can I download Climate Readiness (ND-GAIN), 2016?
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), 2016 the newest?
No. The newest held here is Climate Readiness (ND-GAIN), 2024.