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New ReliefWeb situation report on the Iran conflict

Digital trace data analysis for the reporting period 28 February 2026 to 19 March 2026

We have published a new situation report on ReliefWeb: Situation Report: Iran Conflict Digital Trace Data Analysis - Experimental (Reporting period: 28th of February 2026 to 19th of March 2026).

The report was produced by Francisco Rowe, Carmen Cabrera, Elisabetta Pietrostefani, Matt Mason, Rodgers Iradukunda, Andrea Nasuto and Emiliano Beltran at the Geographic Data Science Lab, University of Liverpool, and was published on 26 March 2026.

You can read the published article here:

What the report does

Conventional data sources to monitor population displacement in Iran following the outbreak of war on 28 February 2026 are limited by sanctions, active hostilities, information controls and restricted humanitarian access. In this report, we use digital trace data as an alternative way to measure likely population dynamics in near real time during the reporting period.

Our analysis uses Cloudflare HTTPS request data as the main proxy for relative changes in population presence at the provincial level. Because internet blackouts do not usually affect the entire network uniformly, these data can still provide informative signals of population activity through partial routing, selected networks, brief restoration periods and the continued operation of essential services.

The report is explicitly experimental. Our Cloudflare-based estimates capture relative shifts in population presence across provinces, rather than flows or absolute counts. To strengthen interpretation, we assess these patterns against Farsi Wikipedia pageviews and Iran Strike Map event data.

Main insights

Why this matters

This report is part of our broader work on using digitally collected data to support near-real-time humanitarian analysis when conventional data systems are delayed, incomplete or inaccessible. The aim is not to replace official statistics or humanitarian reporting, but to provide additional evidence that can help identify emerging displacement dynamics under conditions of crisis.

As we stress in the report, these findings should be interpreted carefully and alongside the stated caveats. Even so, they show the potential of calibrated digital trace data to contribute timely demographic intelligence in fast-moving conflict settings.

A more complete analysis will follow in a subsequent report.

Suggested citation

Francisco Rowe (2026-04-04). New ReliefWeb situation report on the Iran conflict. Francisco Rowe. https://franciscorowe.com/post/2026-04-04-reliefweb-iran-digital-trace-report/

BibTeX
@online{rowe202620260404reliefwebirandigitaltracereport,
  author = {Francisco Rowe},
  title = {New ReliefWeb situation report on the Iran conflict},
  year = {2026},
  date = {2026-04-04},
  url = {https://franciscorowe.com/post/2026-04-04-reliefweb-iran-digital-trace-report/}
}