# Czech Republic Imports of goods, total trade (World), seasonally adjusted

Czech Republic Imports of goods, total trade (World), seasonally adjusted was up 15.8% year on year in August 2026, compared with 17.4% in July 2026.
The level stood at 21,587 € million.
Over the past ten years it has ranged from −28.0% (Apr 2020) to 49.4% (Apr 2021), averaging 6.9%.
The next update is expected on 16 November 2026.

- Source agency: Eurostat (Statistical Office of the European Union)
- Makrognosis code: `CZ.IMPORTS.M.SA`
- Frequency: monthly
- Units: € million
- Coverage: 2002-01-01 to 2026-08-01 (296 observations)
- Page: https://makrognosis.robomacro.com/data/czech-republic/imports-of-goods-total-trade-world-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| August 2026 | 21,587 € million | 15.8 |
| July 2026 | 21,272 € million | 17.4 |
| June 2026 | 21,021 € million | 15.1 |
| May 2026 | 20,447 € million | 12.3 |
| April 2026 | 20,324 € million | 8.6 |
| March 2026 | 19,756 € million | 3.8 |
| February 2026 | 19,332 € million | 3.3 |
| January 2026 | 18,762 € million | −0.5 |
| December 2025 | 19,465 € million | 7.1 |
| November 2025 | 19,143 € million | 4.8 |
| October 2025 | 18,514 € million | 1.3 |
| September 2025 | 18,619 € million | 5.5 |
| August 2025 | 18,640 € million | 2.9 |
| July 2025 | 18,121 € million | 4.1 |
| June 2025 | 18,267 € million | 4.5 |
| May 2025 | 18,214 € million | 1.1 |
| April 2025 | 18,717 € million | 3.8 |
| March 2025 | 19,026 € million | 9.4 |
| February 2025 | 18,706 € million | 4.7 |
| January 2025 | 18,855 € million | 5.7 |
| December 2024 | 18,181 € million | 3.6 |
| November 2024 | 18,264 € million | 5.5 |
| October 2024 | 18,273 € million | 4.3 |
| September 2024 | 17,656 € million | 0.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/CZ.IMPORTS.M.SA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/CZ.IMPORTS.M.SA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```