# South Korea Korea: Wood and paper products, printing and reproduction of recorded media (BOK ECOS)

South Korea Korea: Wood and paper products, printing and reproduction of recorded media (BOK ECOS) was up 1.1% year on year in Q2 2026, compared with −1.0% in Q1 2026.
The level stood at 4,209.0 ₩ billion.
That is the highest reading since Q1 2024.
Over the past ten years it has ranged from −10.4% (Q2 2017) to 15.3% (Q2 2018), averaging 1.3%.

- Source agency: Bank of Korea
- Makrognosis code: `KR.GDP.Q.NOM.ITEM-110303`
- Frequency: quarterly
- Units: ₩ billion
- Coverage: 2016-01-01 to 2026-04-01 (42 observations)
- Page: https://makrognosis.robomacro.com/data/south-korea/korea-wood-and-paper-products-printing-and-reproduction-of-recorded-kr-gdp-q-nom-item-110303

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 4,209.0 ₩ billion | 1.1 |
| Q1 2026 | 3,999.1 ₩ billion | −1.0 |
| Q4 2025 | 3,952.5 ₩ billion | −3.8 |
| Q3 2025 | 4,056.7 ₩ billion | 0.2 |
| Q2 2025 | 4,165.0 ₩ billion | 1.0 |
| Q1 2025 | 4,038.2 ₩ billion | −3.2 |
| Q4 2024 | 4,109.0 ₩ billion | −0.3 |
| Q3 2024 | 4,047.2 ₩ billion | −6.1 |
| Q2 2024 | 4,123.0 ₩ billion | −0.4 |
| Q1 2024 | 4,172.4 ₩ billion | 4.2 |
| Q4 2023 | 4,121.6 ₩ billion | 3.8 |
| Q3 2023 | 4,308.3 ₩ billion | 7.8 |
| Q2 2023 | 4,140.7 ₩ billion | 0.5 |
| Q1 2023 | 4,003.8 ₩ billion | −2.5 |
| Q4 2022 | 3,972.0 ₩ billion | 0.3 |
| Q3 2022 | 3,995.0 ₩ billion | 3.7 |
| Q2 2022 | 4,120.4 ₩ billion | 11.1 |
| Q1 2022 | 4,106.6 ₩ billion | 14.1 |
| Q4 2021 | 3,960.0 ₩ billion | 9.2 |
| Q3 2021 | 3,852.0 ₩ billion | 8.0 |
| Q2 2021 | 3,708.8 ₩ billion | 8.8 |
| Q1 2021 | 3,598.5 ₩ billion | −0.4 |
| Q4 2020 | 3,625.4 ₩ billion | −2.4 |
| Q3 2020 | 3,565.3 ₩ billion | −1.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/KR.GDP.Q.NOM.ITEM-110303"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/KR.GDP.Q.NOM.ITEM-110303",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```