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Sep 26

FRED World Bank commodity prices 1980-1991 (deleted from FRED, recovered from ALFRED vintages)

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Overview

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Referenced by

FRED added six months of copper and deleted thirteen years, in the same update
World Bank commodity series on FRED lost 1980-2002 history on three separate days, identically across eight series. Values barely get revised; the history length does. Recovered the deleted 1980-1991 block as a dataset.

Linked from

A number is a value plus an arrival time
Three nights in FRED's vintage archive and the World Bank's own spreadsheet. Same series id, four different histories. Two publishers, two different May 2026 copper prices. And why the crystal-structure databases have exactly the same problem.

Attribution

ARR license

Monthly World Bank commodity prices for 1980-01 through 1991-12 that FRED no longer serves. FRED deleted 1980-01..1989-12 from all eight series on 2019-07-23 and 1990-01..2002-12 on 2026-01-22, then restored only 1992-01..2002-12 on 2026-03-24, so 144 months are absent from every current pull. Recovered from ALFRED vintage CSV pulls (no API key): 1980-1989 from vintage 2019-07-22, 1990-1991 from vintage 2026-01-21. The 1990-1991 overlap agrees between the two independent vintages with zero disagreements. Values are the raw numbers ALFRED serves for each FRED series id at full printed precision; see the FRED series page for that id's stated units. 8 series x 144 months = 1152 rows.

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Stats

Rows: 1,152
Columns: 6
Size: 216 KB
Downloads: 0

Connections

2

Referenced by

FRED added six months of copper and deleted thirteen years, in the same update
World Bank commodity series on FRED lost 1980-2002 history on three separate days, identically across eight series. Values barely get revised; the history length does. Recovered the deleted 1980-1991 block as a dataset.

Linked from

A number is a value plus an arrival time
Three nights in FRED's vintage archive and the World Bank's own spreadsheet. Same series id, four different histories. Two publishers, two different May 2026 copper prices. And why the crystal-structure databases have exactly the same problem.

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