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Notre Dame Global Adaptation Initiative (ND-GAIN), University of Notre Dame · Climate Readiness (ND-GAIN)

Climate adaptation readiness by country

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.

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Part ofGovernance & InstitutionsRisk & Resilience

Climate adaptation readiness · 2024

Context statistic

Highest of 192Singapore

0.74947

012024 · Notre Dame Global Adaptation Initiative (ND-GAIN), University of Notre Dame’s rank

Who leads

The three countries at the highest end of 192 compared, the three at the other end, and the first on each continent.

  1. 1

    Singapore

    South-eastern Asia

    0.74947

    1st of 192

    Photo: Khairul Nizam . · CC BY 2.0, greyscale

  2. 2

    Finland

    Northern Europe

    0.72742

    2nd of 192

    Photo: Joonas Lyytinen · CC BY-SA 2.5, greyscale

  3. 3

    South Korea

    Eastern Asia

    0.72170

    3rd of 192

    Photo: Unknown author · CC BY-SA 2.0, greyscale

Lowest in 2024

  1. 192Central African Republic0.13683
  2. 191Equatorial Guinea0.16092
  3. 190Chad0.16614

Ranks out of 192. Where a country sits says how it compares with the others measured, and nothing about why.

Highest on each continent

02Every measured country

Climate adaptation readiness on a map

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.

All regions

Darker is a higher value — the better end.

  • 0.13683–0.28751
  • 0.28965–0.36612
  • 0.37008–0.43375
  • 0.43637–0.56390
  • 0.56939–0.74947
  • No reading in 2024
  • Europe

    0.60061

    the middle country, of 43 measured · 49 members

    Finland0.72742

    Bosnia and Herzegovina0.38029

    Highest and lowest reading in Europe.

  • Asia

    0.40534

    the middle country, of 47 measured · 52 members

    Singapore0.74947

    Iraq0.20993

    Highest and lowest reading in Asia.

  • Oceania

    0.40119

    the middle country, of 14 measured · 21 members

    Australia0.65849

    Papua New Guinea0.22256

    Highest and lowest reading in Oceania.

  • Americas

    0.38514

    the middle country, of 35 measured · 48 members

    Canada0.64342

    Haiti0.19989

    Highest and lowest reading in Americas.

  • Africa

    0.28116

    the middle country, of 53 measured · 55 members

    Mauritius0.47840

    Central African Republic0.13683

    Highest and lowest reading in Africa.

22 sub-regions, highest middle country first
  • Western Europe

    0.66987

    the middle country, of 9 measured · 9 members

    Monaco0.71486

    Belgium0.60489

    Highest and lowest reading in Western Europe.

  • Northern Europe

    0.63112

    the middle country, of 10 measured · 13 members

    Finland0.72742

    Lithuania0.57870

    Highest and lowest reading in Northern Europe.

  • Southern 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.

  • Eastern Europe

    0.50210

    the middle country, of 10 measured · 10 members

    Czechia0.60686

    Belarus0.43375

    Highest and lowest reading in Eastern Europe.

  • Western Asia

    0.45689

    the middle country, of 17 measured · 19 members

    Israel0.53975

    Iraq0.20993

    Highest and lowest reading in Western Asia.

  • Eastern Asia

    0.45498

    the middle country, of 5 measured · 8 members

    South Korea0.72170

    North Korea0.37957

    Highest and lowest reading in Eastern Asia.

  • Caribbean

    0.42170

    the middle country, of 13 measured · 24 members

    Saint Kitts and Nevis0.61978

    Haiti0.19989

    Highest and lowest reading in Caribbean.

  • Micronesia

    0.41990

    the middle country, of 5 measured · 7 members

    Palau0.58162

    Micronesia0.36149

    Highest and lowest reading in Micronesia.

  • South America

    0.38216

    the middle country, of 12 measured · 12 members

    Chile0.54806

    Venezuela0.23202

    Highest and lowest reading in South America.

  • South-eastern Asia

    0.37210

    the middle country, of 11 measured · 11 members

    Singapore0.74947

    Myanmar0.21737

    Highest and lowest reading in South-eastern Asia.

  • Central Asia

    0.37177

    the middle country, of 5 measured · 5 members

    Kazakhstan0.48379

    Turkmenistan0.23517

    Highest and lowest reading in Central Asia.

  • Northern Africa

    0.35897

    the middle country, of 6 measured · 6 members

    Morocco0.40319

    Sudan0.19418

    Highest and lowest reading in Northern Africa.

  • Central America

    0.34594

    the middle country, of 8 measured · 8 members

    Costa Rica0.47671

    Honduras0.29750

    Highest and lowest reading in Central America.

  • Southern Asia

    0.34576

    the middle country, of 9 measured · 9 members

    Bhutan0.41416

    Afghanistan0.27211

    Highest and lowest reading in Southern Asia.

  • Southern Africa

    0.31557

    the middle country, of 5 measured · 5 members

    Botswana0.38392

    Lesotho0.27432

    Highest and lowest reading in Southern Africa.

  • Western Africa

    0.29410

    the middle country, of 16 measured · 16 members

    Cabo Verde0.38083

    Nigeria0.24164

    Highest and lowest reading in Western Africa.

  • Eastern Africa

    0.26240

    the middle country, of 17 measured · 19 members

    Mauritius0.47840

    Eritrea0.17583

    Highest and lowest reading in Eastern Africa.

  • Middle 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.

  • Australia and New Zealand

    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.

  • Melanesia

    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.

  • Northern America

    2 of 4 measured — too few for a middle: Canada, United States.

    Canada0.64342

    United States0.63182

    Highest and lowest reading in Northern America.

  • Polynesia

    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

The spread

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.

0.20.30.40.50.60.7Africa53 comparedMauritius: 0.47840Rwanda: 0.42166Morocco: 0.40319Seychelles: 0.40150Botswana: 0.38392Cabo Verde: 0.38083Algeria: 0.37813Egypt: 0.37746Senegal: 0.37557Benin: 0.37215São Tomé and Príncipe: 0.35892Ghana: 0.35678Togo: 0.35356Namibia: 0.34811Tunisia: 0.34048Tanzania: 0.33630Djibouti: 0.32719South Africa: 0.31557Côte d’Ivoire: 0.30745Gabon: 0.30203Eswatini: 0.30104Liberia: 0.29605Niger: 0.29500Mauritania: 0.29319Libya: 0.28965Guinea: 0.28751Malawi: 0.28116Cameroon: 0.27556Guinea-Bissau: 0.27568Lesotho: 0.27432Zambia: 0.27418Gambia: 0.27301Burkina Faso: 0.27020Kenya: 0.26773Mali: 0.26601Sierra Leone: 0.26572Ethiopia: 0.26240Comoros: 0.25921Angola: 0.25685Uganda: 0.25509Burundi: 0.24967Madagascar: 0.25015Nigeria: 0.24164Mozambique: 0.23377Republic of the Congo: 0.22357Zimbabwe: 0.21953Sudan: 0.19418DR Congo: 0.17800Somalia: 0.17820Eritrea: 0.17583Chad: 0.16614Equatorial Guinea: 0.16092Central African Republic: 0.13683Central African Republic 0.13683Mauritius 0.47840Americas35 comparedCanada: 0.64342United States: 0.63182Saint Kitts and Nevis: 0.61978Dominica: 0.61242Barbados: 0.56939Chile: 0.54806Grenada: 0.52787Uruguay: 0.48758Costa Rica: 0.47671Saint Vincent and the Grenadines: 0.47245Antigua and Barbuda: 0.44074Bahamas: 0.42170Saint Lucia: 0.41721Colombia: 0.41576Argentina: 0.41540Dominican Republic: 0.40471Jamaica: 0.40185Guyana: 0.38514Peru: 0.38330Brazil: 0.38103Panama: 0.37776Suriname: 0.37008Belize: 0.36612Mexico: 0.36361Ecuador: 0.34826Paraguay: 0.33608El Salvador: 0.32783Guatemala: 0.32828Trinidad and Tobago: 0.32744Cuba: 0.32604Bolivia: 0.31192Nicaragua: 0.30504Honduras: 0.29750Venezuela: 0.23202Haiti: 0.19989Haiti 0.19989Canada 0.64342Asia47 comparedSingapore: 0.74947South Korea: 0.72170Japan: 0.66748Israel: 0.53975Georgia: 0.51851Cyprus: 0.50415Saudi Arabia: 0.49367United Arab Emirates: 0.49017Kazakhstan: 0.48379Türkiye: 0.47196Bahrain: 0.46554Malaysia: 0.46497Qatar: 0.46204Armenia: 0.45689China: 0.45498Uzbekistan: 0.44224Oman: 0.43637Azerbaijan: 0.43026Jordan: 0.42712Kuwait: 0.41813Brunei: 0.41730Vietnam: 0.41694Bhutan: 0.41416Maldives: 0.40534Indonesia: 0.39785Mongolia: 0.38951North Korea: 0.37957Iran: 0.37892Kyrgyzstan: 0.37177Philippines: 0.37210India: 0.36208Thailand: 0.35077Sri Lanka: 0.34576Lebanon: 0.32957Nepal: 0.32704Cambodia: 0.32130Tajikistan: 0.31561Pakistan: 0.31046Laos: 0.29891Timor-Leste: 0.28620Bangladesh: 0.28428Syria: 0.28090Afghanistan: 0.27211Yemen: 0.25606Turkmenistan: 0.23517Myanmar: 0.21737Iraq: 0.20993Iraq 0.20993Singapore 0.74947Europe43 comparedFinland: 0.72742Monaco: 0.71486Denmark: 0.70714San Marino: 0.70498Norway: 0.70045Sweden: 0.68141Germany: 0.68028Austria: 0.67872Switzerland: 0.67390Liechtenstein: 0.66987Luxembourg: 0.66060Netherlands: 0.65939United Kingdom: 0.65349France: 0.63942Andorra: 0.61114Estonia: 0.60875Iceland: 0.60853Czechia: 0.60686Slovenia: 0.60718Belgium: 0.60489Ireland: 0.60453Italy: 0.60061Latvia: 0.58869Lithuania: 0.57870Portugal: 0.57203Poland: 0.57014Greece: 0.56390Spain: 0.55720Croatia: 0.54156Slovakia: 0.53277Hungary: 0.52858Romania: 0.51805Malta: 0.48701Bulgaria: 0.48615Moldova: 0.48441Serbia: 0.47920Albania: 0.46798Montenegro: 0.46318North Macedonia: 0.45870Ukraine: 0.45533Russia: 0.43655Belarus: 0.43375Bosnia and Herzegovina: 0.38029Bosnia and Herzegovina 0.38029Finland 0.72742Oceania14 comparedAustralia: 0.65849New Zealand: 0.62166Palau: 0.58162Nauru: 0.57088Tuvalu: 0.44979Fiji: 0.43783Marshall Islands: 0.41990Solomon Islands: 0.38247Kiribati: 0.37341Micronesia: 0.36149Tonga: 0.35335Samoa: 0.33994Vanuatu: 0.30071Papua New Guinea: 0.22256Papua New Guinea 0.22256Australia 0.65849middle country 0.38733

04All 192 ever measured

Every country

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.

The raw table

Showing 25 of 192 countries

  1. 1 of 192SingaporeSouth-eastern Asia0.74947
  2. 2 of 192FinlandNorthern Europe0.72742
  3. 3 of 192South KoreaEastern Asia0.72170
  4. 4 of 192MonacoWestern Europe0.71486
  5. 5 of 192DenmarkNorthern Europe0.70714
  6. 6 of 192San MarinoSouthern Europe0.70498
  7. 7 of 192NorwayNorthern Europe0.70045
  8. 8 of 192SwedenNorthern Europe0.68141
  9. 9 of 192GermanyWestern Europe0.68028
  10. 10 of 192AustriaWestern Europe0.67872
  11. 11 of 192SwitzerlandWestern Europe0.67390
  12. 12 of 192LiechtensteinWestern Europe0.66987
  13. 13 of 192JapanEastern Asia0.66748
  14. 14 of 192LuxembourgWestern Europe0.66060
  15. 15 of 192NetherlandsWestern Europe0.65939
  16. 16 of 192AustraliaAustralia and New Zealand0.65849
  17. 17 of 192United KingdomNorthern Europe0.65349
  18. 18 of 192CanadaNorthern America0.64342
  19. 19 of 192FranceWestern Europe0.63942
  20. 20 of 192United StatesNorthern America0.63182
  21. 21 of 192New ZealandAustralia and New Zealand0.62166
  22. 22 of 192Saint Kitts and NevisCaribbean0.61978
  23. 23 of 192DominicaCaribbean0.61242
  24. 24 of 192AndorraSouthern Europe0.61114
  25. =25 of 192EstoniaNorthern Europe0.60875

Values for 2024. The change column compares 2024 with 2023 only; the sparkline covers the recent editions.

051995–2024 · 30 reference years

Over time

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.

0.30.40.50.6199519992003200720112015201920232024EuropeAsiaOceaniaAmericasAfrica
  • the middle country
  • the middle half of countries
  • the middle of the 192 countries measured every time
  • each continent’s middle country
The same, year by year
YearCountriesMiddle countryMiddle halfMeasured every time
20241920.387330.30429 – 0.507620.38733
20231920.392050.30542 – 0.508530.39205
20221920.390000.30824 – 0.508490.39000
20211920.410830.31026 – 0.523650.41083
20201920.409510.31196 – 0.526150.40951
20191920.410070.31145 – 0.523640.41007
20181920.408430.31060 – 0.516330.40843
20171920.406340.30808 – 0.513710.40634
20161920.405340.30427 – 0.513570.40534
20151920.399470.30256 – 0.514090.39947
20141920.398090.29869 – 0.508700.39809
20131920.387120.29828 – 0.508050.38712
20121920.386440.30417 – 0.511320.38644
20111920.391120.30962 – 0.509290.39112
20101920.390310.31039 – 0.514700.39031
20091920.388120.31053 – 0.508880.38812
20081920.388010.31363 – 0.502260.38801
20071920.390170.31848 – 0.502230.39017
20061920.389980.31654 – 0.497360.38998
20051920.387740.31552 – 0.502210.38774
20041920.386890.32017 – 0.488690.38689
20031920.381810.31205 – 0.490780.38181
20021920.385800.31283 – 0.488070.38580
20011920.383430.31409 – 0.484800.38343
20001920.384060.31279 – 0.482580.38406
19991920.382430.31371 – 0.483340.38243
19981920.382160.31114 – 0.481590.38216
19971920.383580.31229 – 0.482010.38358
19961920.383200.31256 – 0.481320.38320
19951920.385280.31245 – 0.480790.38528

062023 → 2024

Who rose and fell

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.

Improved most

before → after
  1. Palau0.53116 → 0.58162 · 45th → 33rd+0.05046
  2. Vanuatu0.27371 → 0.30071 · 163rd → 146th+0.02700
  3. Tuvalu0.43349 → 0.44979 · 75th → 71st+0.01630
  4. Marshall Islands0.40369 → 0.41990 · 92nd → 82nd+0.01621
  5. Saudi Arabia0.47879 → 0.49367 · 58th → 50th+0.01488

Declined most

before → after
  1. Nepal0.36314 → 0.32704 · 117th → 134th−0.03610
  2. Chad0.19556 → 0.16614 · 186th → 190th−0.02942
  3. Samoa0.36873 → 0.33994 · 114th → 127th−0.02879
  4. Bangladesh0.31179 → 0.28428 · 142nd → 156th−0.02752
  5. Rwanda0.44852 → 0.42166 · 70th → 80th−0.02687

192 countries were measured in both 2023 and 2024.

07Across every edition

Climate adaptation readiness in records

The extremes of the statistic. A record reached by more than one country names none of them.

08The measure

About climate adaptation readiness

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

Connections

Its part in the Country Index, the statistics whose values line up most closely with it across countries, and others on the same subject.

All statistics

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

Moves with

Where climate adaptation readiness is higher, these tend to be higher too.

Moves against

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 381 statistics sharing at least 80 countries with this one. Two statistics that move together do not cause each other.

On the same subject

10Keep reading

Explore further

11Questions

Climate adaptation readiness: questions and answers

Which country has the highest climate adaptation readiness?

Singapore, at 0.74947, among the 192 countries compared in 2024.

Which country has the lowest climate adaptation readiness?

Central African Republic, at 0.13683, among the 192 countries compared in 2024.

How many countries does the Climate Readiness (ND-GAIN) cover?

192 in 2024.

What is the world average climate adaptation readiness?

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.

Is this Notre Dame Global Adaptation Initiative (ND-GAIN), University of Notre Dame’s own ranking?

Yes. The rank shown is the one Notre Dame Global Adaptation Initiative (ND-GAIN), University of Notre Dame publishes.

How often is the Climate Readiness (ND-GAIN) published?

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.

Where does the data come from, and can I download it?

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

Sources, method and citation

Source

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 full 2024 table, row for row

How this page reads the numbers

  • The rank is Notre Dame Global Adaptation Initiative (ND-GAIN), University of Notre Dame’s own, as published.
  • Which end is better follows the publisher’s own reading of the measure.
  • A country is named at an end only when it holds that value alone. Where several share it, the page says how many and names none first.
  • Values are stored exactly as published and trimmed only for display. “The middle country” is the median of the countries measured, not a world average.

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.

Photographs

The countries at the top of this statistic, from their profiles: Wikimedia Commons, shown in greyscale, each used under the licence named.

Cite this page

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

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