Risk and sentiment

Korea Retail Sales YoY

Year-over-year change in Korea's real retail sales index, adjusted for price changes. Because it measures volumes rather than spending in won, it is the cleaner read on household consumption strength.

Latest

-0.78 %

-4.64 %

Date2026-07-31
History2022-07-31–2026-07-31
Observations49
Bank of Korea ECOS

At a glance

Korea Retail Sales YoY: latest value and prior change

As of 2026-07-31, Korea Retail Sales YoY is -0.78 %. It is 4.64 pp lower than 3.86 % on 2026-06-30.

Across 49 available observations from 2022-07-31 to 2026-07-31, the latest value is at the tie-adjusted 52nd percentile.

Observed on
Default comparison window
2022-07-312026-07-31
Observations · observed cadence
49 · Monthly

A high or low percentile does not by itself make the indicator positive, negative, or a buy or sell signal.

Time-series chart

Korea Retail Sales YoY

2022-07-31–2026-07-31

Long-history series are stored as real provider observations. Index, FX, VIX, and ratio charts use historical backfill where providers expose it; Korean investor flow and margin-credit feeds expand as stable historical endpoints become available.

Recent observations and calculated changes

The ten latest chart observations. Change subtracts the previous observation; intervals vary with holidays, release schedules and missing data. A difference in rates or ratios is not an investment return.

Korea Retail Sales YoY · %
ObservedValuePrevious dateDifference (current − previous)
2026-07-31-0.78 %2026-06-30-4.64 %p
2026-06-303.86 %2026-05-312.42 %p
2026-05-311.44 %2026-04-300.05 %p
2026-04-301.39 %2026-03-31-3.63 %p
2026-03-315.02 %2026-02-280.85 %p
2026-02-284.18 %2026-01-313.68 %p
2026-01-310.50 %2025-12-31-0.73 %p
2025-12-311.23 %2025-11-300.75 %p
2025-11-300.48 %2025-10-31-0.20 %p
2025-10-310.68 %2025-09-30-1.63 %p

Source: Bank of Korea ECOS

Interpretation guide

Verifying domestic consumption with retail sales

Korea Retail Sales YoY compares the constant-price retail sales index from Statistics Korea's Industrial Activity report with the same month a year earlier, capturing real goods consumption net of inflation. Because it aggregates actual transactions rather than survey responses, it is the final arbiter in debates about household spending.

What it counts and what it leaves out

The index covers goods sold through retail channels such as department stores, discount stores, and online, but excludes services like travel, dining, and healthcare. When spending shifts from goods toward services, weak retail sales can overstate the weakness of consumption as a whole.

  • When retail sales soften, check whether consumer-facing services output holds up, indicating rotation rather than retrenchment.
  • Overseas spending by residents never enters domestic retail data, so outbound-travel recoveries make the series look weaker than reality.
  • The series is in real terms, so when it conflicts with nominal sales headlines, suspect price effects first.

Durables, semi-durables, and non-durables

Durables such as cars and appliances respond to interest rates and spending capacity, leading the consumption cycle, while non-durables like food stay resilient regardless of conditions. Which category moves the headline changes what the print means.

  • Treat a durables recovery as improving spending capacity and check for overlap with a Korea Consumer Sentiment upturn.
  • Growth confined to non-durables while durables stay weak signals defensive, essentials-only consumption.
  • Car sales swing on model launches and consumption-tax changes, so identify one-off causes behind sharp moves.

Investment links and cautions

The retail sales trend maps directly to revenue conditions for retail, food, and apparel names, though stocks usually price expectations before the data confirms them. Where debt service compresses spending capacity, sentiment rebounds convert to retail recovery with less force.

  • Retail recoveries that follow a slowdown in Korea Household Credit YoY growth tend to prove more durable.
  • Before domestic-sector earnings seasons, preview revenue direction with the quarter's monthly retail prints.
  • Single-month spikes can reflect holiday timing or large promotion events, so confirm trends on a three-month average.