Independent rankings built from public data — every figure traceable to the body that published it.
Notre Dame Global Adaptation Initiative (ND-GAIN), University of Notre Dame · Climate Readiness (ND-GAIN)
How able is a country to turn investment into adaptation to climate change?
Singapore placed first of the 192 countries compared in 2024, at 0.74947, and Central African Republic last, at 0.13683. In the middle country the figure was 0.38733. Among the 192 countries measured in every edition since 1995, the middle one moved from 0.38528 to 0.38733.
Climate adaptation readiness · 2024
Context statistic
Highest of 192Singapore
0.74947012024 · Notre Dame Global Adaptation Initiative (ND-GAIN), University of Notre Dame’s rank
The three countries at the highest end of 192 compared, the three at the other end, and the first on each continent.
1Photo: Khairul Nizam . · CC BY 2.0, greyscale
2Photo: Joonas Lyytinen · CC BY-SA 2.5, greyscale
3Photo: Unknown author · CC BY-SA 2.0, greyscale
Ranks out of 192. Where a country sits says how it compares with the others measured, and nothing about why.
02Every measured country
Each country is shaded by its value, in five groups holding the same number of countries. Hover a country for its value, or select it to open its profile. Below the map, each continent’s middle country.
Darker is a higher value — the better end.
0.60061
the middle country, of 43 measured · 49 members
Finland0.72742
Bosnia and Herzegovina0.38029
Highest and lowest reading in Europe.
0.40534
the middle country, of 47 measured · 52 members
Singapore0.74947
Iraq0.20993
Highest and lowest reading in Asia.
0.40119
the middle country, of 14 measured · 21 members
Australia0.65849
Papua New Guinea0.22256
Highest and lowest reading in Oceania.
0.38514
the middle country, of 35 measured · 48 members
Canada0.64342
Haiti0.19989
Highest and lowest reading in Americas.
0.28116
the middle country, of 53 measured · 55 members
Mauritius0.47840
Central African Republic0.13683
Highest and lowest reading in Africa.
0.66987
the middle country, of 9 measured · 9 members
Monaco0.71486
Belgium0.60489
Highest and lowest reading in Western Europe.
0.63112
the middle country, of 10 measured · 13 members
Finland0.72742
Lithuania0.57870
Highest and lowest reading in Northern Europe.
0.54938
the middle country, of 14 measured · 17 members
San Marino0.70498
Bosnia and Herzegovina0.38029
Highest and lowest reading in Southern Europe.
0.50210
the middle country, of 10 measured · 10 members
Czechia0.60686
Belarus0.43375
Highest and lowest reading in Eastern Europe.
0.45689
the middle country, of 17 measured · 19 members
Israel0.53975
Iraq0.20993
Highest and lowest reading in Western Asia.
0.45498
the middle country, of 5 measured · 8 members
South Korea0.72170
North Korea0.37957
Highest and lowest reading in Eastern Asia.
0.42170
the middle country, of 13 measured · 24 members
Saint Kitts and Nevis0.61978
Haiti0.19989
Highest and lowest reading in Caribbean.
0.41990
the middle country, of 5 measured · 7 members
Palau0.58162
Micronesia0.36149
Highest and lowest reading in Micronesia.
0.38216
the middle country, of 12 measured · 12 members
Chile0.54806
Venezuela0.23202
Highest and lowest reading in South America.
0.37210
the middle country, of 11 measured · 11 members
Singapore0.74947
Myanmar0.21737
Highest and lowest reading in South-eastern Asia.
0.37177
the middle country, of 5 measured · 5 members
Kazakhstan0.48379
Turkmenistan0.23517
Highest and lowest reading in Central Asia.
0.35897
the middle country, of 6 measured · 6 members
Morocco0.40319
Sudan0.19418
Highest and lowest reading in Northern Africa.
0.34594
the middle country, of 8 measured · 8 members
Costa Rica0.47671
Honduras0.29750
Highest and lowest reading in Central America.
0.34576
the middle country, of 9 measured · 9 members
Bhutan0.41416
Afghanistan0.27211
Highest and lowest reading in Southern Asia.
0.31557
the middle country, of 5 measured · 5 members
Botswana0.38392
Lesotho0.27432
Highest and lowest reading in Southern Africa.
0.29410
the middle country, of 16 measured · 16 members
Cabo Verde0.38083
Nigeria0.24164
Highest and lowest reading in Western Africa.
0.26240
the middle country, of 17 measured · 19 members
Mauritius0.47840
Eritrea0.17583
Highest and lowest reading in Eastern Africa.
0.22357
the middle country, of 9 measured · 9 members
São Tomé and Príncipe0.35892
Central African Republic0.13683
Highest and lowest reading in Middle Africa.
2 of 2 measured — too few for a middle: Australia, New Zealand.
Australia0.65849
New Zealand0.62166
Highest and lowest reading in Australia and New Zealand.
4 of 5 measured — too few for a middle: Fiji, Papua New Guinea, Solomon Islands, Vanuatu.
Fiji0.43783
Papua New Guinea0.22256
Highest and lowest reading in Melanesia.
2 of 4 measured — too few for a middle: Canada, United States.
Canada0.64342
United States0.63182
Highest and lowest reading in Northern America.
3 of 7 measured — too few for a middle: Samoa, Tonga, Tuvalu.
Tuvalu0.44979
Samoa0.33994
Highest and lowest reading in Polynesia.
03The whole field at once
192 countries, one dot each, on one scale — further right is a higher value. Half the countries are above 0.38733; a quarter are above 0.50762, and a quarter below 0.30429. The bar in each row marks that continent’s middle country.
04All 192 ever measured
In order, highest value first. “=” marks a rank shared with another country. Readiness is built from general measures — governance, education, infrastructure, the business climate — rather than anything specific to climate, so it sits close to broad development rankings. Countries that display the same three-decimal figure share a rank.
Showing 25 of 192 countries
Values for 2024. The change column compares 2024 with 2023 only; the sparkline covers the recent editions.
051995–2024 · 30 reference years
Each point is one year from 1995, all recomputed on the current release’s method, so the line is comparable end to end. Readiness moves faster than vulnerability: institutions and economies change within a decade, geography does not.
| Year | Countries | Middle country | Middle half | Measured every time |
|---|---|---|---|---|
| 2024 | 192 | 0.38733 | 0.30429 – 0.50762 | 0.38733 |
| 2023 | 192 | 0.39205 | 0.30542 – 0.50853 | 0.39205 |
| 2022 | 192 | 0.39000 | 0.30824 – 0.50849 | 0.39000 |
| 2021 | 192 | 0.41083 | 0.31026 – 0.52365 | 0.41083 |
| 2020 | 192 | 0.40951 | 0.31196 – 0.52615 | 0.40951 |
| 2019 | 192 | 0.41007 | 0.31145 – 0.52364 | 0.41007 |
| 2018 | 192 | 0.40843 | 0.31060 – 0.51633 | 0.40843 |
| 2017 | 192 | 0.40634 | 0.30808 – 0.51371 | 0.40634 |
| 2016 | 192 | 0.40534 | 0.30427 – 0.51357 | 0.40534 |
| 2015 | 192 | 0.39947 | 0.30256 – 0.51409 | 0.39947 |
| 2014 | 192 | 0.39809 | 0.29869 – 0.50870 | 0.39809 |
| 2013 | 192 | 0.38712 | 0.29828 – 0.50805 | 0.38712 |
| 2012 | 192 | 0.38644 | 0.30417 – 0.51132 | 0.38644 |
| 2011 | 192 | 0.39112 | 0.30962 – 0.50929 | 0.39112 |
| 2010 | 192 | 0.39031 | 0.31039 – 0.51470 | 0.39031 |
| 2009 | 192 | 0.38812 | 0.31053 – 0.50888 | 0.38812 |
| 2008 | 192 | 0.38801 | 0.31363 – 0.50226 | 0.38801 |
| 2007 | 192 | 0.39017 | 0.31848 – 0.50223 | 0.39017 |
| 2006 | 192 | 0.38998 | 0.31654 – 0.49736 | 0.38998 |
| 2005 | 192 | 0.38774 | 0.31552 – 0.50221 | 0.38774 |
| 2004 | 192 | 0.38689 | 0.32017 – 0.48869 | 0.38689 |
| 2003 | 192 | 0.38181 | 0.31205 – 0.49078 | 0.38181 |
| 2002 | 192 | 0.38580 | 0.31283 – 0.48807 | 0.38580 |
| 2001 | 192 | 0.38343 | 0.31409 – 0.48480 | 0.38343 |
| 2000 | 192 | 0.38406 | 0.31279 – 0.48258 | 0.38406 |
| 1999 | 192 | 0.38243 | 0.31371 – 0.48334 | 0.38243 |
| 1998 | 192 | 0.38216 | 0.31114 – 0.48159 | 0.38216 |
| 1997 | 192 | 0.38358 | 0.31229 – 0.48201 | 0.38358 |
| 1996 | 192 | 0.38320 | 0.31256 – 0.48132 | 0.38320 |
| 1995 | 192 | 0.38528 | 0.31245 – 0.48079 | 0.38528 |
062023 → 2024
The biggest changes in value between the two newest editions — reference years recalculated in one report, not two separate publications. Places are shown second, because they also move when other countries do.
192 countries were measured in both 2023 and 2024.
07Across every edition
The extremes of the statistic. A record reached by more than one country names none of them.
Highest reading on record
0.81516
ND-GAIN Readiness (0–1, where 1 is the most ready)
Notre Dame Global Adaptation Initiative (ND-GAIN), University of Notre Dame · 2021
Lowest reading on record
0.12151
ND-GAIN Readiness (0–1, where 1 is the most ready)
Notre Dame Global Adaptation Initiative (ND-GAIN), University of Notre Dame · 2014
Biggest improvement between editions
+0.10685
0.59893 → 0.70578
Notre Dame Global Adaptation Initiative (ND-GAIN), University of Notre Dame · 2005 → 2006
Biggest decline between editions
−0.13549
0.48912 → 0.35363
Notre Dame Global Adaptation Initiative (ND-GAIN), University of Notre Dame · 2021 → 2022
Most improved since first measured
+0.19403
0.32448 → 0.51851
Notre Dame Global Adaptation Initiative (ND-GAIN), University of Notre Dame · 1995 → 2024
At the top most often
13 of 30
editions, alone at the first-listed end
Notre Dame Global Adaptation Initiative (ND-GAIN), University of Notre Dame · 1995–2024
08The measure
ND-GAIN’s Readiness score measures how able a country is to turn investment into adaptation to climate change — through its economy, its governance and its social conditions — on a scale from 0 to 1, where higher is more ready. It is one of the two halves of the ND-GAIN Country Index.
What the number is: ND-GAIN Readiness (0–1, where 1 is the most ready).
What it does not measure
It is built from general economic, governance and social conditions, not from climate policy, so it does not show whether a country has an adaptation plan or is spending on one.
09Where it fits
Its part in the Country Index, the statistics whose values line up most closely with it across countries, and others on the same subject.
In the Country Index
Context, with no vote
This statistic is published in full under Governance & Institutions and Risk & Resilience, but does not help decide any Country Index standing.
Governance & InstitutionsRisk & ResilienceWhich statistics vote, and why
Where climate adaptation readiness is higher, these tend to be higher too.
Where climate adaptation readiness is higher, these tend to be lower.
Rank correlation (ρ, from −1 to 1) across countries, on each statistic’s newest edition, out of 188 statistics sharing at least 80 countries with this one. Two statistics that move together do not cause each other.
10Keep reading
11Questions
Singapore, at 0.74947, among the 192 countries compared in 2024.
Central African Republic, at 0.13683, among the 192 countries compared in 2024.
192 in 2024.
This site does not calculate a world average, which would depend on how countries are weighted. In the middle country of the 192 compared in 2024, the figure was 0.38733.
Yes. The rank shown is the one Notre Dame Global Adaptation Initiative (ND-GAIN), University of Notre Dame publishes.
This site holds 30 reference years, 1995–2024, all recalculated in Notre Dame Global Adaptation Initiative (ND-GAIN), University of Notre Dame’s 2026 report on one method — not 30 separate publications.
From Notre Dame Global Adaptation Initiative (ND-GAIN), University of Notre Dame, under CC BY 3.0 Unported. Imported from ND-GAIN’s own download, the readiness file only. The economic, governance and social components and the underlying indicators are not republished; the latter are other agencies’ data. The ranks are those ND-GAIN prints on its own ranking page. Every edition is on this site’s Datasets pages as a full table, and downloads as a CSV file with every value unrounded.
12Method
Climate Readiness (ND-GAIN) — Notre Dame Global Adaptation Initiative (ND-GAIN), University of Notre Dame
Imported from ND-GAIN’s own download, the readiness file only. The economic, governance and social components and the underlying indicators are not republished; the latter are other agencies’ data. The ranks are those ND-GAIN prints on its own ranking page.
Newest edition
Report year 2024Data year 2024
Cite the source as: University of Notre Dame Global Adaptation Initiative. ND-GAIN Country Index, 2026 release — Readiness. Method: Chen, C., Noble, I., Hellmann, J., Coffee, J., Murillo, M. and Chawla, N. (2015). University of Notre Dame Global Adaptation Index: Country Index Technical Report. Notre Dame, IN: University of Notre Dame.
Licence: CC BY 3.0 Unported, checked 2026-09-26.
The file itself, column by column — where it came from, what each column holds, and every edition as a CSV — is on its dataset page.
The countries at the top of this statistic, from their profiles: Wikimedia Commons, shown in greyscale, each used under the licence named.
Nations Inquiry (2026). Climate adaptation readiness by country: Climate Readiness (ND-GAIN), data from Notre Dame Global Adaptation Initiative (ND-GAIN), University of Notre Dame. https://nationsinquiry.com/statistics/climate-readiness