Monthly commodity prices (FRED / IMF)
Monthly commodity prices (FRED / IMF): series, unit, value.
Stable identifier: https://brvmdata.com/donnees/com-commodity-monthly/#dataset
All datasets · catalog.json · Access guide
Provenance, coverage and dates
FRED / IMF — monthly commodity prices
- Exported rows
- 2919
- Coverage field
- month
- Coverage (not guaranteed continuous)
- 1992-01 / 2026-09
- data_as_of
- 2026-09
- source_retrieved_at
- 2026-11-09T07:12:17+00:00
- metadata_generated_at
- 2026-11-10T22:47:50+00:00
- Cadence / state
- Monday 07:10 UTC / ok
Reference month in YYYY-MM format; not publication date.
data_as_of: latest exported coverage date not future at the data edition, null for undated tables and effective/ex/payment dates. This does not establish point-in-time availability. source_retrieved_at: latest retrieval in exported rows, otherwise metadata for the entire source. metadata_generated_at: creation of this description, not observation freshness.
Files and dictionary
- CSV — 262447 bytes; SHA-256
99f0ea9fb19c598c1d1cc4838aeb8d4bb0fcfe467cd19a5207da1bc7e88769c3
UTF-8, comma separator, decimal point. Unknown units are null; do not infer them from another page's presentation.
| Column | Declared storage type (CSV: text) | Unit | Basis / interpretation | Empty cells |
|---|---|---|---|---|
| series_id | TEXT | null | null | 0 |
| month | TEXT | null | null | 0 |
| commodity | TEXT | null | null | 0 |
| unit | TEXT | null | null | 0 |
| value | REAL | row:unit | Unit varies by row; read the unit column with every value | 0 |
| document_id | INTEGER | null | null | 0 |
| retrieved_at | TEXT | null | null | 0 |
Joins and caveats
document_id→ com_documentsid: Store-scoped document ID. Cite the matching source_url, document date and retrieved_at; never join IDs across stores.
- An empty CSV cell means missing data or empty text, never zero by default. Declared types do not replace checking values before conversion.
Terms of use
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No warranty: the data is reproduced and normalised automatically and may contain errors; check any figure against the source document before relying on it. Nothing here is investment advice.
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