Sources and method
Every figure on NagarData links back to the file it came from. This page explains how we get there.
Our rules
- Copy, do not guess. We keep each source's own figures and units. Days a source did not publish stay empty; we never fill gaps with estimates.
- Keep the receipt. Each daily file we read is archived with its download time and a checksum, so any number can be traced to its original document.
- Flag, do not fix. If a value disagrees strongly with other sources we mark it provisional (shown with *) instead of changing it.
- Show changes. When a source revises a figure, the old and new values are kept and listed on the changes page.
- Say what is ours. Calculated datasets (such as the wholesale-to-retail gap) are labelled "NagarData calculation" and explain their formula.
Sources
| Trading Corporation of Bangladesh (TCB) | Daily retail and wholesale prices for Dhaka city markets, from TCB's published price sheets (tcb.gov.bd). Collected automatically every day. |
|---|---|
| Department of Agricultural Marketing (DAM) | Market prices from DAM's public price pages (dam.gov.bd). Recorded on the days a value changes. |
| World Food Programme (WFP), via HDX | Monthly food prices for markets across Bangladesh, from WFP's Vulnerability Analysis and Mapping (HDX). Licence: Creative Commons Attribution for Intergovernmental Organisations (CC BY-IGO). |
Licences and permission
Government figures are public information. TCB and DAM do not publish an explicit reuse licence; NagarData republishes them with full attribution and a link to the original. If you represent a source and have a concern about how your data appears here, please contact us. Datasets with an open licence show it, with a link, on their page. Our own terms explain how you may reuse the data.
Independence
NagarData is independent. It is not affiliated with, endorsed by or speaking for any of the bodies above. When you publish NagarData figures, cite the original source; each dataset page has a ready-made "Cite this" line.
Freshness
Live datasets show when they were last updated and when the next update is expected. If a source misses its usual schedule, the dataset is marked Late and our team is alerted.
Found a mistake?
Report it on the help page. We check it against the archived source file and answer within 72 hours.