dataforge-labs/remittance-pricing-panel

Remittance pricing panel

What sending money across borders actually costs, quoted corridor by corridor.

Published averages are periodic and aggregated. These are the individual quotes as offered, at the moment they were offered.

Contents

name	one row is
e13_remittance_quotes	one provider quoting one corridor: rate, fees, and amount received

Reading it

Twenty corridors covering the largest remittance lanes plus intra-European pairs where bank pricing is widest. Corridors added later begin later; the manifest records when each dataset started.

The amount received is the figure that matters. Rate and fee split differently between providers and comparing on rate alone will mislead you.

Before you build on this

• The source is a comparison service run by one of the providers being compared. Which competitors appear in a corridor is that provider's choice, competitor quotes can lag, and the publisher has an obvious interest in appearing cheap. The bias is at least constant and visible.
• Quotes are indicative. A real transfer may differ, and some providers apply limits or verification steps that a quote does not reflect.
• Coverage per corridor varies with how many competitors the source lists, which changes over time.

Partitions are parquet, one file per collection window, under dataset/YYYY/MM/. This repo carries a FIXED 7-day sample (2026-08-25 to 2026-08-31) so you can check schema, coverage and quality before asking for more. It does not advance, so there is nothing to gain by re-downloading it. The full history is held privately, available on request.

from huggingface_hub import snapshot_download
import pandas as pd, glob

path = snapshot_download("dataforge-labs/remittance-pricing-panel", repo_type="dataset",
                         allow_patterns="e13_remittance_quotes/**")
df = pd.concat(map(pd.read_parquet,
                   glob.glob(f"{path}/e13_remittance_quotes/**/*.parquet", recursive=True)))

Coverage

e0_run_manifest lists every collection window with its poll counts and failure counts, and is published in full rather than windowed. Gaps between windows are real, cannot be filled in afterwards, and nothing here is interpolated.

License and contact

ODC-BY: use it freely, credit "DataForge (dataforge-labs)". Questions and requests for the full history via the discussions tab.