South Korea vs Malaysia: CPI Price, nominal, seas. adj.

South Korea
137.99
in 2026
Malaysia
136.57
in 2026
South Korea rank
102nd
Malaysia rank
105th

CPI Price, nominal, seas. adj. over time

  • South Korea
  • Malaysia
255075100125150198720062026

How they compare

South Korea currently reports 137.99 against 136.57 in Malaysia, a difference of 1.42.

The two have swapped places 3 times across 40 shared years of data; in 1987 it was Malaysia ahead.

South Korea ranks 102nd and Malaysia ranks 105th of 155 countries.

Malaysia has averaged higher in every one of the 5 decades both report.

Head to head by decade

Decade South Korea Malaysia Difference Ahead
1980s 39.09 53.92 14.83 Malaysia
1990s 59.45 68.27 8.82 Malaysia
2000s 85.69 88.66 2.97 Malaysia
2010s 110.16 112.22 2.05 Malaysia
2020s 128.73 129.92 1.18 Malaysia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher cpi price, nominal, seas. adj., South Korea or Malaysia?
South Korea, at 137.99 against 136.57 in Malaysia as of 2026.
What is the difference in cpi price, nominal, seas. adj. between South Korea and Malaysia?
1.42, with South Korea ahead.
How many years of comparable data are there for South Korea and Malaysia?
40 years are reported by both, from 1987 to 2026.
How do South Korea and Malaysia rank globally for cpi price, nominal, seas. adj.?
South Korea ranks 102nd and Malaysia ranks 105th of 155 countries.
Where does this data come from?
World Bank staff calculations based on Datastream data, published as CPI Price, nominal, seas. adj.. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

About this data

Indicator
CPI Price, nominal, seas. adj.
Source
World Bank staff calculations based on Datastream data
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
166 places, 5,869 data points, 1987–2026
Last refreshed

The consumer price index reflects the change in prices for the average consumer of a constant basket of consumer goods. Data is in nominal terms and seasonally adjusted.