Readiness score, IMF-Adapted Economic in South Korea

South Korea: Readiness score, IMF-Adapted Economic was 0.8011 in 2024. ▲ Rising

Latest (2024)
0.8011
Change on year
down 0.1%
World rank
12th
of 192 countries
All-time high
0.8166
in 2021
All-time low
0.7243
in 2017
Years of data
10
2015–2024

Readiness score, IMF-Adapted Economic in South Korea, 2015–2024

00.20.40.60.82015201920242015: 0.7292016: 0.7262017: 0.7242018: 0.7582019: 0.7952020: 0.8022021: 0.8172022: 0.8012023: 0.8022024: 0.801

Source: International Monetary Fund.

Analysis

In 2024, readiness score, imf-adapted economic in South Korea stood at 0.8011.

Compared with earlier readings it is down 0.1% on the previous year and up 9.9% over ten years.

Over the whole period, readiness score, imf-adapted economic in South Korea peaked at 0.8166 in 2021 and was at its lowest, 0.7243, in 2017.

South Korea ranks 12th of 192 countries on this measure, in the top 10%.

Readiness score, IMF-Adapted Economic in South Korea, year by year

Annual values for Readiness score, IMF-Adapted Economic in South Korea, 2015 to 2024.
Year Value Change
2015 0.7293 —
2016 0.7263 -0.4%
2017 0.7243 -0.3%
2018 0.7576 +4.6%
2019 0.7951 +4.9%
2020 0.8019 +0.9%
2021 0.8166 +1.8%
2022 0.8009 -1.9%
2023 0.8021 +0.2%
2024 0.8011 -0.1%

South Korea compared with similar countries

  • South Korea's 0.8011 is above the median for high income countries, which is 0.6487, 1.2× the median. (64 countries reporting)
  • South Korea's 0.8011 is above the median for East Asia & Pacific, which is 0.4981, 1.6× the median. (30 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2010s 0.7465 0.7243 0.7951 5
2020s 0.8045 0.8009 0.8166 5

Countries ranked near South Korea

  1. 9 Denmark 0.8339 compare
  2. 10 Sweden 0.8274 compare
  3. 11 Finland 0.8037 compare
  4. 13 United States 0.7833 compare
  5. 14 Germany 0.7672 compare
  6. 15 Andorra 0.7522 compare

See the full ranking of 192 places →

More economy & growth data for South Korea

All data for South Korea →

Frequently asked questions

What is readiness score, imf-adapted economic in South Korea?
Readiness score, imf-adapted economic in South Korea was 0.8011 in 2024, according to International Monetary Fund.
What is the highest readiness score, imf-adapted economic recorded in South Korea?
The highest recorded value was 0.8166 in 2021.
What is the lowest readiness score, imf-adapted economic recorded in South Korea?
The lowest recorded value was 0.7243 in 2017.
How does South Korea rank for readiness score, imf-adapted economic?
South Korea ranks 12th out of 192 countries with data for 2024.
Is readiness score, imf-adapted economic rising or falling in South Korea?
Over the last ten years it is up 9.9%. The long-run trend across the full record is rising.
Where does this South Korea data come from?
The figures come from International Monetary Fund, published as part of Readiness score, IMF-Adapted Economic. Statizoid updates them automatically from the source API.

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Readiness score, IMF-Adapted Economic in South Korea. Statizoid, drawing on International Monetary Fund. Retrieved 15 November 2026, from https://economy.statizoid.com/stat/readiness-score-imf-adapted-economic/korea-rep/

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About this data

Indicator
Readiness score, IMF-Adapted Economic
Source
International Monetary Fund
Licence
IMF Terms and Conditions (attribution required)
Coverage
192 places, 1,920 data points, 2015–2024
Last refreshed

The ND-GAIN index is a global free open-source index, that measures a country’s current vulnerability to climate disruptions and assesses a country’s readiness to leverage private and public sector investment for adaptive actions. The IMF-adapted ND-GAIN index is an adaptation of the original index, adjusted by IMF staff to replace the Doing Business (DB) Index, used as source data in the original ND-GAIN, because the DB database has been discontinued by the World Bank in 2020 and it is no longer allowed in IMF work. The IMF-adapted ND-GAIN is an interim solution offered by IMF staff until the ND-GAIN compilers will review the methodology and replace the DB index.