# South Korea Korea: Agricultural, forestry & marine products / Dollar Basis (BOK ECOS)

South Korea Korea: Agricultural, forestry & marine products / Dollar Basis (BOK ECOS) was up 33.4% year on year in October 2026, compared with 29.8% in September 2026.
The level stood at 129.3 2020=100.
That is the highest reading since the series began in January 2016.
Over the past ten years it has ranged from −14.5% (Jun 2023) to 33.4% (Oct 2026), averaging 1.5%.

- Source agency: Bank of Korea
- Makrognosis code: `KR.XPI.M.NSA.ITEM-1AA-D`
- Frequency: monthly
- Units: 2020=100
- Coverage: 2016-01-01 to 2026-10-01 (130 observations)
- Page: https://makrognosis.robomacro.com/data/south-korea/korea-agricultural-forestry-and-marine-products-dollar-basis-bok-ecos

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| October 2026 | 129.3 2020=100 | 33.4 |
| September 2026 | 125.1 2020=100 | 29.8 |
| August 2026 | 121.2 2020=100 | 26.0 |
| July 2026 | 117.0 2020=100 | 21.7 |
| June 2026 | 116.7 2020=100 | 25.7 |
| May 2026 | 114.7 2020=100 | 23.9 |
| April 2026 | 113.0 2020=100 | 25.0 |
| March 2026 | 102.5 2020=100 | 13.4 |
| February 2026 | 100.0 2020=100 | 11.6 |
| January 2026 | 94.99 2020=100 | 6.4 |
| December 2025 | 95.76 2020=100 | 4.9 |
| November 2025 | 96.40 2020=100 | 5.6 |
| October 2025 | 96.94 2020=100 | 4.1 |
| September 2025 | 96.36 2020=100 | 5.4 |
| August 2025 | 96.17 2020=100 | 7.0 |
| July 2025 | 96.11 2020=100 | 8.5 |
| June 2025 | 92.79 2020=100 | 4.7 |
| May 2025 | 92.59 2020=100 | 4.5 |
| April 2025 | 90.35 2020=100 | 3.6 |
| March 2025 | 90.41 2020=100 | −1.6 |
| February 2025 | 89.65 2020=100 | −5.3 |
| January 2025 | 89.31 2020=100 | −6.4 |
| December 2024 | 91.25 2020=100 | −5.4 |
| November 2024 | 91.33 2020=100 | −3.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/KR.XPI.M.NSA.ITEM-1AA-D"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/KR.XPI.M.NSA.ITEM-1AA-D",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```