# Indonesia Merchandise imports CIF total (BPS dataexim, sum of HS 01-99), USD mn

Indonesia Merchandise imports CIF total (BPS dataexim, sum of HS 01-99), USD mn was up 19.2% year on year in September 2026, compared with 18.4% in August 2026.
The level stood at 24,235 US$ million.
Over the past ten years it has ranged from −42.2% (May 2020) to 68.7% (May 2021), averaging 9.5%.

- Source agency: Badan Pusat Statistik
- Makrognosis code: `ID.IMPORTS.M.NSA`
- Frequency: monthly
- Units: US$ million
- Coverage: 1996-01-01 to 2026-09-01 (369 observations)
- Page: https://makrognosis.robomacro.com/data/indonesia/merchandise-imports-cif-total-bps-dataexim-sum-of-hs-01-99-usd-mn

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 24,235 US$ million | 19.2 |
| August 2026 | 23,060 US$ million | 18.4 |
| July 2026 | 26,095 US$ million | 26.8 |
| June 2026 | 25,909 US$ million | 34.0 |
| May 2026 | 24,814 US$ million | 22.2 |
| April 2026 | 25,214 US$ million | 22.5 |
| March 2026 | 19,206 US$ million | 1.5 |
| February 2026 | 20,894 US$ million | 10.8 |
| January 2026 | 21,201 US$ million | 18.2 |
| December 2025 | 23,834 US$ million | 12.5 |
| November 2025 | 19,858 US$ million | 1.3 |
| October 2025 | 21,843 US$ million | −0.3 |
| September 2025 | 20,335 US$ million | 8.2 |
| August 2025 | 19,475 US$ million | −5.6 |
| July 2025 | 20,575 US$ million | −5.2 |
| June 2025 | 19,333 US$ million | 4.9 |
| May 2025 | 20,312 US$ million | 4.9 |
| April 2025 | 20,585 US$ million | 22.0 |
| March 2025 | 18,920 US$ million | 5.4 |
| February 2025 | 18,849 US$ million | 2.3 |
| January 2025 | 17,936 US$ million | −2.9 |
| December 2024 | 21,191 US$ million | 10.9 |
| November 2024 | 19,604 US$ million | 0.1 |
| October 2024 | 21,907 US$ million | 17.4 |

## API

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

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