Dataset

iran_inflation_and_cpi_1936_2022

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A legacy archive of Iran's consumer price index and inflation series from 1936 to 2022 remains available, though an updated multisource version using current Farmaanaa methodology supersedes it.

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Dataset card

This Farmaanaa dataset compiles Iranian inflation and Consumer Price Index figures from 1936 to 2022, drawn from the Statistical Center of Iran. The README notes that the file is archived and superseded by a newer multi-source release.

What this dataset contains

The published resource is a single CSV named iran_inflation_and_cpi_1936_2022.csv that pairs yearly or period-level inflation estimates with CPI values for Iran over an 86-year span. Provenance is recorded in the sources field, citing the Statistical Center of Iran as the underlying publisher. The README indicates the dataset is no longer updated under Farmaanaa's current methodology.

Structure and fields

The Hugging Face card exposes metadata fields rather than the raw time-series itself: name, title, description, keywords, licenses, sources, resources, and created. The licenses entry references CC BY 4.0, and the sources entry carries a title and a path link to the Statistical Center of Iran. The resources field points to the CSV file path, and the created timestamp is recorded as a date field. Tags indicate a JSON format, sub-1K size category, and compatibility with pandas and polars.

How analysts use it

Long-run CPI and inflation series for Iran are scarce in standardized form, so the file can serve as a reference input for macro researchers building historical inflation comparisons across emerging markets. Because it is a small static archive, it is better suited to retrospective chart construction and methodology benchmarking than to live forecasting. The CC BY 4.0 license allows redistribution with attribution, which is useful for embedding the series in published research notes.

Documentation & references 1
  1. Farmaanaa/iran_inflation_and_cpi_1936_2022: listing on Hugging Face

Further reading

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  • How funds evaluate alternative data vendorsEvaluating alternative-data providers: research fit, provenance, historical timing, permitted use and the evidence needed for an informed purchasing decision.
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  • Free alternative data sourcesThe practical list of free alternative-data sources for investors: public filings, official statistics, satellite and earth observation, on-chain data, web archives and open registries, what each covers, what it costs in engineering effort, and where free data falls short.

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