Makrognosis

South Korea Korea: Coincident Composite Index (BOK ECOS)

MonthlyNot seasonally adjustedCode KR.ESI.M.NSA.ITEM-I16B

Latest119.5September 2026
Previous118.9August 2026
Year ago114.9September 2025

South Korea Korea: Coincident Composite Index (BOK ECOS) was 119.5 in September 2026, up 0.5% from August 2026 and up 4.0% from a year earlier.

That is the highest reading since the series began in January 2016.

Over the past ten years it has ranged from 92.70 (Sep 2016) to 119.5 (Sep 2026), averaging 105.4.

South Korea Korea: Coincident Composite Index (BOK ECOS) (2020=100), Jan 2016 – Sep 202690100110120201620182020202220242026Robomacro
South Korea Korea: Coincident Composite Index (BOK ECOS) (2020=100), Jan 2016 – Sep 2026. Source: Bank of Korea.

Showing the full history (downsampled for display). Open the interactive chart to zoom and switch transforms.

Recent data

PeriodValue
September 2026119.5 2020=100
August 2026118.9 2020=100
July 2026118.1 2020=100
June 2026116.9 2020=100
May 2026116.2 2020=100
April 2026116.5 2020=100
March 2026116.2 2020=100
February 2026115.5 2020=100
January 2026114.7 2020=100
December 2025114.5 2020=100
November 2025114.5 2020=100
October 2025114.6 2020=100
September 2025114.9 2020=100
August 2025114.7 2020=100
July 2025114.3 2020=100
June 2025114.1 2020=100
May 2025113.7 2020=100
April 2025113.9 2020=100
March 2025113.6 2020=100
February 2025113.2 2020=100
January 2025112.9 2020=100
December 2024113.1 2020=100
November 2024113.1 2020=100
October 2024113.2 2020=100

Last 24 observations. The full history (129 observations) is available through the API.

Get South Korea Korea: Coincident Composite Index (BOK ECOS) in your code or spreadsheet

One guessable code, agency-direct, updated on release. Free tier available.

curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/KR.ESI.M.NSA.ITEM-I16B"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/KR.ESI.M.NSA.ITEM-I16B",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
Get a free API key → · API docs

About this series

Latest observationSeptember 2026
First observationJanuary 2016
Observations129
FrequencyMonthly
Units2020=100
AdjustmentNot seasonally adjusted
10-year high119.5 (Sep 2026)
10-year low92.70 (Sep 2016)
10-year average105.4
Source agencyBank of Korea
Makrognosis codeKR.ESI.M.NSA.ITEM-I16B

More South Korea ESI series

South Korea Korea: Cycle of Coincident Composite Index (BOK ECOS)South Korea Korea: Cycle of Leading Composite Index (BOK ECOS)South Korea Korea: Lagging Composite Index (BOK ECOS)South Korea Korea: Leading Composite Index (BOK ECOS)

Other South Korea indicators

South Korea GDP (Gross Domestic Product)South Korea Korea: GDP at market prices, SA, current prices (BOK ECOS)South Korea Inflation Rate (CPI)South Korea Core Inflation RateSouth Korea Unemployment RateSouth Korea 10-Year Government Bond YieldSouth Korea Credit Rating & Sovereign Risk ScoreSouth Korea Industrial ProductionSouth Korea Korea industrial production index, original (not seasonally adjusted), 2020=100 (KOSTAT via BOK ECOS)South Korea Producer Price Inflation (PPI)South Korea Korea: Current Account, monthly, NSA (BOK ECOS, USD mn)South Korea Korea: Current Account, monthly, SA (BOK ECOS, USD mn)South Korea Korea: Exports of Goods (Korea Customs Service final, BOK ECOS 901Y092 E100; thousand USD x 0.001 = USD mn)South Korea Korea: Imports of Goods (Korea Customs Service final, BOK ECOS 901Y092 I100; thousand USD x 0.001 = USD mn)South Korea Korea consumer sentiment index (KOSTAT via BOK ECOS 511Y002 FME 99988)South Korea M2 Money Stock

FAQ

What is the current korea: Coincident Composite Index (BOK ECOS) in South Korea?
The latest reading is 119.5 for September 2026, published by Bank of Korea.
Where does this data come from?
It is collected directly from Bank of Korea and is available through the Makrognosis API under the code KR.ESI.M.NSA.ITEM-I16B.

Last updated 2026-10-31. Source: Bank of Korea. Original title: “Korea: Coincident Composite Index (BOK ECOS)”.