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

Climate vulnerability by country

How exposed and sensitive is a country to the effects of climate change?

Of the 190 countries compared in 2024, Norway had the lowest reading, 0.26348, and Mauritania had the highest reading, 0.65513. In the middle country the figure was 0.44965. Among the 190 countries measured in every edition since 1995, the middle one moved from 0.48149 to 0.44965.

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Part ofEnvironment & SustainabilityRisk & Resilience

Climate vulnerability · 2024

Key statistic · Risk & Resilience

Lowest of 190Norway

0.26348

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

Who leads

The three countries at the lowest end of 190 compared, the three at the other end, and the first on each continent.

  1. 1

    Norway

    Northern Europe

    0.26348

    1st of 190

    Photo: Ximonic , Simo Räsänen · CC BY-SA 3.0, greyscale

  2. 2

    United Kingdom

    Northern Europe

    0.28151

    Joint 2nd of 190

    Photo: © User:Colin / Wikimedia Commons · CC BY-SA 4.0, greyscale

  3. 3

    Canada

    Northern America

    0.28243

    Joint 2nd of 190

    Photo: User:Florian Fuchs · CC BY 3.0, greyscale

Highest in 2024

  1. 190Mauritania0.65513
  2. =188Somalia0.63829
  3. =188Chad0.63783

Ranks out of 190. Where a country sits says how it compares with the others measured, and nothing about why.

Lowest on each continent

02Every measured country

Climate vulnerability 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 lower value — the better end.

  • 0.52760–0.65513
  • 0.47235–0.52657
  • 0.42466–0.47129
  • 0.36556–0.42448
  • 0.26348–0.36535
  • No reading in 2024
  • Europe

    0.35456

    the middle country, of 41 measured · 49 members

    Norway0.26348

    Serbia0.46982

    Lowest and highest reading in Europe.

  • Americas

    0.42466

    the middle country, of 35 measured · 48 members

    Canada0.28243

    Haiti0.53449

    Lowest and highest reading in Americas.

  • Asia

    0.43511

    the middle country, of 47 measured · 52 members

    Kyrgyzstan0.34380

    Yemen0.62940

    Lowest and highest reading in Asia.

  • Africa

    0.51105

    the middle country, of 53 measured · 55 members

    Seychelles0.42796

    Mauritania0.65513

    Lowest and highest reading in Africa.

  • Oceania

    0.53278

    the middle country, of 14 measured · 21 members

    New Zealand0.29672

    Solomon Islands0.62242

    Lowest and highest reading in Oceania.

22 sub-regions, lowest middle country first
  • Northern Europe

    0.32029

    the middle country, of 10 measured · 13 members

    Norway0.26348

    Latvia0.38677

    Lowest and highest reading in Northern Europe.

  • Western Europe

    0.33212

    the middle country, of 8 measured · 9 members

    Germany0.29559

    Monaco0.39036

    Lowest and highest reading in Western Europe.

  • Southern Europe

    0.35739

    the middle country, of 13 measured · 17 members

    Spain0.32303

    Serbia0.46982

    Lowest and highest reading in Southern Europe.

  • Eastern Europe

    0.36393

    the middle country, of 10 measured · 10 members

    Czechia0.30512

    Moldova0.45044

    Lowest and highest reading in Eastern Europe.

  • Central Asia

    0.36704

    the middle country, of 5 measured · 5 members

    Kyrgyzstan0.34380

    Turkmenistan0.44762

    Lowest and highest reading in Central Asia.

  • Eastern Asia

    0.39413

    the middle country, of 5 measured · 8 members

    Japan0.35311

    North Korea0.51291

    Lowest and highest reading in Eastern Asia.

  • South America

    0.40728

    the middle country, of 12 measured · 12 members

    Chile0.34658

    Ecuador0.47602

    Lowest and highest reading in South America.

  • Western Asia

    0.42863

    the middle country, of 17 measured · 19 members

    Israel0.34449

    Yemen0.62940

    Lowest and highest reading in Western Asia.

  • Central America

    0.43990

    the middle country, of 8 measured · 8 members

    Costa Rica0.38707

    Belize0.48283

    Lowest and highest reading in Central America.

  • South-eastern Asia

    0.44341

    the middle country, of 11 measured · 11 members

    Malaysia0.36535

    Timor-Leste0.54545

    Lowest and highest reading in South-eastern Asia.

  • Caribbean

    0.44750

    the middle country, of 13 measured · 24 members

    Saint Lucia0.34494

    Haiti0.53449

    Lowest and highest reading in Caribbean.

  • Northern Africa

    0.45938

    the middle country, of 6 measured · 6 members

    Algeria0.42988

    Sudan0.62916

    Lowest and highest reading in Northern Africa.

  • Southern Africa

    0.48418

    the middle country, of 5 measured · 5 members

    South Africa0.43624

    Namibia0.51072

    Lowest and highest reading in Southern Africa.

  • Micronesia

    0.50209

    the middle country, of 5 measured · 7 members

    Palau0.48156

    Micronesia0.62144

    Lowest and highest reading in Micronesia.

  • Eastern Africa

    0.51120

    the middle country, of 17 measured · 19 members

    Seychelles0.42796

    Somalia0.63829

    Lowest and highest reading in Eastern Africa.

  • Southern Asia

    0.52511

    the middle country, of 9 measured · 9 members

    Iran0.42865

    Afghanistan0.61163

    Lowest and highest reading in Southern Asia.

  • Middle Africa

    0.52791

    the middle country, of 9 measured · 9 members

    Gabon0.44954

    Chad0.63783

    Lowest and highest reading in Middle Africa.

  • Western Africa

    0.54010

    the middle country, of 16 measured · 16 members

    Ghana0.45463

    Mauritania0.65513

    Lowest and highest reading in Western Africa.

  • Australia and New Zealand

    2 of 2 measured — too few for a middle: Australia, New Zealand.

    New Zealand0.29672

    Australia0.30014

    Lowest and highest reading in Australia and New Zealand.

  • Melanesia

    4 of 5 measured — too few for a middle: Fiji, Papua New Guinea, Solomon Islands, Vanuatu.

    Fiji0.48875

    Solomon Islands0.62242

    Lowest and highest reading in Melanesia.

  • Northern America

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

    Canada0.28243

    United States0.31688

    Lowest and highest reading in Northern America.

  • Polynesia

    3 of 7 measured — too few for a middle: Samoa, Tonga, Tuvalu.

    Samoa0.53795

    Tonga0.59487

    Lowest and highest reading in Polynesia.

03The whole field at once

The spread

190 countries, one dot each, on one scale — further right is a higher value. Half the countries are above 0.44965; a quarter are above 0.50765, and a quarter below 0.38153. The bar in each row marks that continent’s middle country.

0.30.40.50.6Africa53 comparedSeychelles: 0.42796Algeria: 0.42988South Africa: 0.43624Tunisia: 0.44063Equatorial Guinea: 0.44985Gabon: 0.44954Morocco: 0.44976Ghana: 0.45463Mauritius: 0.45464Egypt: 0.46900Guinea: 0.47360Cabo Verde: 0.47788Cameroon: 0.47761Eswatini: 0.48205Kenya: 0.48185Botswana: 0.48418Côte d’Ivoire: 0.48755Comoros: 0.49011Libya: 0.49007Nigeria: 0.48955Zambia: 0.49217Tanzania: 0.50549Lesotho: 0.50680Ethiopia: 0.50793Togo: 0.50881Mozambique: 0.51120Namibia: 0.51072Zimbabwe: 0.51105Burkina Faso: 0.52251São Tomé and Príncipe: 0.52657Angola: 0.52791Senegal: 0.52888Uganda: 0.53628Republic of the Congo: 0.54890Madagascar: 0.55027Gambia: 0.55133Malawi: 0.56660DR Congo: 0.57065Liberia: 0.58151Benin: 0.58366Mali: 0.58466Niger: 0.58689Central African Republic: 0.58827Djibouti: 0.59836Sierra Leone: 0.60197Burundi: 0.61041Rwanda: 0.60951Guinea-Bissau: 0.62162Eritrea: 0.62863Sudan: 0.62916Chad: 0.63783Somalia: 0.63829Mauritania: 0.65513Seychelles 0.42796Mauritania 0.65513Americas35 comparedCanada: 0.28243United States: 0.31688Saint Lucia: 0.34494Chile: 0.34658Brazil: 0.36635Paraguay: 0.37955Trinidad and Tobago: 0.38603Venezuela: 0.38610Costa Rica: 0.38707Uruguay: 0.39409Barbados: 0.39699Colombia: 0.40668Argentina: 0.40788Mexico: 0.41212Peru: 0.41778Saint Vincent and the Grenadines: 0.41767Nicaragua: 0.42283Grenada: 0.42466Panama: 0.42806Dominica: 0.44246Suriname: 0.44166Bahamas: 0.44750Jamaica: 0.45130El Salvador: 0.45173Bolivia: 0.45317Guatemala: 0.45543Cuba: 0.45708Guyana: 0.46666Dominican Republic: 0.46990Honduras: 0.47094Saint Kitts and Nevis: 0.47285Ecuador: 0.47602Belize: 0.48283Antigua and Barbuda: 0.48482Haiti: 0.53449Canada 0.28243Haiti 0.53449Asia47 comparedIsrael: 0.34449Kyrgyzstan: 0.34380Japan: 0.35311Cyprus: 0.35466Kazakhstan: 0.35504South Korea: 0.35588Malaysia: 0.36535Tajikistan: 0.36704Singapore: 0.37949Uzbekistan: 0.39282Armenia: 0.39364China: 0.39413Mongolia: 0.39597Türkiye: 0.39576Georgia: 0.41322United Arab Emirates: 0.41631Qatar: 0.41802Brunei: 0.42448Azerbaijan: 0.42750Iran: 0.42865Jordan: 0.42863Philippines: 0.43000Indonesia: 0.43090Kuwait: 0.43511Sri Lanka: 0.43597Thailand: 0.44341Turkmenistan: 0.44762Oman: 0.45011Laos: 0.45155Lebanon: 0.45462Saudi Arabia: 0.47129Cambodia: 0.47235India: 0.47486Myanmar: 0.48760Iraq: 0.49695Bahrain: 0.49897Vietnam: 0.49896Nepal: 0.50418North Korea: 0.51291Syria: 0.52075Pakistan: 0.52511Bhutan: 0.52802Maldives: 0.53424Bangladesh: 0.54353Timor-Leste: 0.54545Afghanistan: 0.61163Yemen: 0.62940Kyrgyzstan 0.34380Yemen 0.62940Europe41 comparedNorway: 0.26348United Kingdom: 0.28151Germany: 0.29559Switzerland: 0.29635Czechia: 0.30512Finland: 0.30551Russia: 0.30983Poland: 0.31431Iceland: 0.31481Ireland: 0.31744France: 0.32121Austria: 0.32278Spain: 0.32303Sweden: 0.32315Luxembourg: 0.34147Denmark: 0.34158Slovenia: 0.34406Andorra: 0.35078Malta: 0.35114Portugal: 0.35233Belarus: 0.35456Greece: 0.35559Italy: 0.35739Bulgaria: 0.36105Estonia: 0.36060Belgium: 0.36556Slovakia: 0.36681Netherlands: 0.37148Lithuania: 0.37376Bosnia and Herzegovina: 0.38047Hungary: 0.38037Ukraine: 0.38469Latvia: 0.38677Monaco: 0.39036Romania: 0.39821Croatia: 0.39860North Macedonia: 0.40989Albania: 0.41632Montenegro: 0.42117Moldova: 0.45044Serbia: 0.46982Norway 0.26348Serbia 0.46982Oceania14 comparedNew Zealand: 0.29672Australia: 0.30014Palau: 0.48156Fiji: 0.48875Marshall Islands: 0.49886Nauru: 0.50209Kiribati: 0.52760Samoa: 0.53795Vanuatu: 0.54677Papua New Guinea: 0.54928Tuvalu: 0.57251Tonga: 0.59487Micronesia: 0.62144Solomon Islands: 0.62242New Zealand 0.29672Solomon Islands 0.62242middle country 0.44965

04All 190 ever measured

Every country

In order, lowest value first. “=” marks a rank shared with another country. Rank 1 is the least vulnerable country, which is the order ND-GAIN’s ranking page prints; its country pages also speak of the most vulnerable, counting from the other end. Countries that display the same three-decimal figure share a rank.

The raw table

Showing 25 of 190 countries

  1. 1 of 190NorwayNorthern Europe0.26348
  2. =2 of 190CanadaNorthern America0.28243
  3. =2 of 190United KingdomNorthern Europe0.28151
  4. =4 of 190GermanyWestern Europe0.29559
  5. =4 of 190SwitzerlandWestern Europe0.29635
  6. 6 of 190New ZealandAustralia and New Zealand0.29672
  7. 7 of 190AustraliaAustralia and New Zealand0.30014
  8. 8 of 190CzechiaEastern Europe0.30512
  9. 9 of 190FinlandNorthern Europe0.30551
  10. 10 of 190RussiaEastern Europe0.30983
  11. 11 of 190PolandEastern Europe0.31431
  12. 12 of 190IcelandNorthern Europe0.31481
  13. =13 of 190IrelandNorthern Europe0.31744
  14. =13 of 190United StatesNorthern America0.31688
  15. 15 of 190FranceWestern Europe0.32121
  16. =16 of 190AustriaWestern Europe0.32278
  17. =16 of 190SpainSouthern Europe0.32303
  18. =16 of 190SwedenNorthern Europe0.32315
  19. 19 of 190LuxembourgWestern Europe0.34147
  20. 20 of 190DenmarkNorthern Europe0.34158
  21. =21 of 190IsraelWestern Asia0.34449
  22. =21 of 190KyrgyzstanCentral Asia0.34380
  23. =21 of 190SloveniaSouthern Europe0.34406
  24. 24 of 190Saint LuciaCaribbean0.34494
  25. 25 of 190ChileSouth America0.34658

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. It moves slowly: much of what it measures — geography, climate exposure — barely changes from year to year.

0.40.450.50.55199519992003200720112015201920232024OceaniaAfricaAsiaAmericasEurope
  • the middle country
  • the middle half of countries
  • the middle of the 190 countries measured every time
  • each continent’s middle country
The same, year by year
YearCountriesMiddle countryMiddle halfMeasured every time
20241900.449650.38153 – 0.507650.44965
20231900.449170.38420 – 0.507340.44917
20221900.447420.38481 – 0.509340.44742
20211900.447830.38503 – 0.509070.44783
20201900.447900.38725 – 0.507640.44790
20191900.447880.38921 – 0.506430.44788
20181900.449650.38875 – 0.510160.44965
20171900.450530.39030 – 0.512690.45053
20161900.451840.38940 – 0.515350.45184
20151900.451500.39096 – 0.517010.45150
20141900.451500.38937 – 0.518610.45150
20131900.454950.39165 – 0.520630.45495
20121900.454270.39450 – 0.520470.45427
20111900.458010.39706 – 0.522940.45801
20101900.460710.39674 – 0.524210.46071
20091900.464710.40084 – 0.529890.46471
20081900.463800.40230 – 0.528550.46380
20071900.466740.40340 – 0.535860.46674
20061900.468700.40341 – 0.532770.46870
20051900.470650.40561 – 0.534850.47065
20041900.472030.40642 – 0.539180.47203
20031900.471640.40798 – 0.539720.47164
20021900.472030.40852 – 0.543030.47203
20011900.476370.41053 – 0.543100.47637
20001900.475590.41182 – 0.543920.47559
19991900.474970.41256 – 0.544750.47497
19981900.478730.41401 – 0.547210.47873
19971900.479590.41493 – 0.546830.47959
19961900.482000.41713 – 0.547100.48200
19951900.481490.41781 – 0.548800.48149

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. Laos0.46818 → 0.45155 · 108th → 101st−0.01663
  2. Kyrgyzstan0.34870 → 0.34380 · 25th → 21st−0.00490
  3. Montenegro0.42571 → 0.42117 · 77th → 74th−0.00454
  4. Namibia0.51516 → 0.51072 · 148th → 145th−0.00444
  5. Hungary0.38466 → 0.38037 · 49th → 46th−0.00430

Worsened most

before → after
  1. Eswatini0.47289 → 0.48205 · 116th → 122nd+0.00916
  2. Niger0.57886 → 0.58689 · 171st → 174th+0.00803
  3. Gambia0.54535 → 0.55133 · 162nd → 167th+0.00598
  4. Cabo Verde0.47275 → 0.47788 · 116th → 120th+0.00513
  5. Singapore0.37510 → 0.37949 · 45th → 45th+0.00440

190 countries were measured in both 2023 and 2024.

07Across every edition

Climate vulnerability in records

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

08The measure

About climate vulnerability

ND-GAIN’s Vulnerability score measures how exposed a country is to climate change, how sensitive its food, water, health, ecosystems, housing and infrastructure are to it, and how little capacity it has to adapt — on a scale from 0 to 1, where higher is more vulnerable. It is one of the two halves of the ND-GAIN Country Index.

What the number is: ND-GAIN Vulnerability (0–1, where 1 is the most vulnerable).

What it does not measure

It does not count disasters that have happened or losses already suffered, and it is not a forecast. It leaves out a country's own emissions, and it scores the country as a whole, so a vulnerable coast or region inside a large country is averaged away.

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

A key statistic for Risk & Resilience

“How exposed and sensitive a country’s food, water, health, ecosystems, housing and infrastructure are to a changing climate, set against its capacity to adapt — the slow-onset climate risk the hazard and crisis indices do not isolate.”

Edition used
2024 (data 2024)
Countries
190
Licence
CC BY 3.0 Unported

Risk & Resilience standingsHow the keys combine

Moves with

Where climate vulnerability is higher, these tend to be higher too.

Moves against

Where climate vulnerability 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

More from Notre Dame Global Adaptation Initiative (ND-GAIN), University of Notre Dame

11Questions

Climate vulnerability: questions and answers

Which country has the lowest climate vulnerability?

Norway, at 0.26348, among the 190 countries compared in 2024.

Which country has the highest climate vulnerability?

Mauritania, at 0.65513, among the 190 countries compared in 2024.

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

190 in 2024.

What is the world average climate vulnerability?

This site does not calculate a world average, which would depend on how countries are weighted. In the middle country of the 190 compared in 2024, the figure was 0.44965.

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 Vulnerability (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 vulnerability file only. The six sector scores 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 Vulnerability (ND-GAIN) — Notre Dame Global Adaptation Initiative (ND-GAIN), University of Notre Dame

Imported from ND-GAIN’s own download, the vulnerability file only. The six sector scores 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 — Vulnerability. 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 vulnerability by country: Climate Vulnerability (ND-GAIN), data from Notre Dame Global Adaptation Initiative (ND-GAIN), University of Notre Dame. https://nationsinquiry.com/statistics/climate-vulnerability

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