New Research with Claude · Query millions of auction results from your own AI toolsGet Started
Market index · AWS Data Exchange

Philatelic Index (PHLI)

Philatelic Index (PHLI): a daily market-performance index for stamps and philately, built on ALT/FNDATA's dataset of over 55,000 lots across 150+ auction houses since 2003, with 33,000+ realised prices. World and country stamps, covers, postal history, postcards and philatelic collections, with issuer and catalogue detail where available. Daily index values.

Lots
55,000+
Realised prices
33,000+
Auction houses
150+
History
2003–present

What this listing delivers

  • Daily market-performance index for stamps and philately, built on 55,000+ lots across 150+ auction houses since 2003.
  • World and country stamps, covers, postal history, postcards and philatelic collections, with issuer and catalogue detail where available. Delivered in JSON, CSV and SQL formats.
  • Anchor of a family of stamps and philately indices on AWS Data Exchange. Daily-updated index values.

Coverage & methodology

The Philatelic Index delivers daily index values tracking the stamps and philately market on a consistent methodology, for benchmarking, valuation and research. The index is built on ALT/FNDATA's stamps and philately sales data (over 55,000 lots across 150+ auction houses since 2003, with 33,000+ realised prices). Index values come in JSON, CSV and SQL formats and update daily.

Access

This dataset is published on AWS Data Exchange as part of the ALT/FNDATA catalogue. For subscription terms, a data sample, delivery format and enterprise licensing, contact our data team and we will get you set up directly.

Browse the full catalogue

Start with the Rare Books & Manuscripts data today.

Create a free account to explore books & manuscripts pricing in the app, or talk to us about API access and licensing for your team.

Source: ALT/FNDATA, 19.24M realized auction results across 37 collectible categories, normalized to USD. Featured lot images courtesy of the auction houses named. Methodology · All datasets · Brands · Market statistics