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Executive summary

Key observations for the period 01 March 2025 - 28 February 2026

  • The Flowminder-Digicel pipeline was interrupted from June to October 2025, which restricted analysis of mobility trends during that time period.
  • In the Port-au-Prince Metropolitan Area (ZMPAP), the population of 2e Section Morne l'Hôpital (Port-au-Prince) first decreased sharply by more than 20,000 people from March to April 2025, and slightly increased between November 2025 to February 2026.
    • Meanwhile, the population of 1re Section St Martin (Delmas) and 5e Section Bellevue Chardonniere (Pétion-Ville) have kept increasing in the past 12 months.
  • The population of the West department overall dropped by an estimated 7,800 people since March 2025.
    • The largest drop in population outside ZMPAP is in 3e Section Sourcailles (Kenscoff) (-2,700 people)
  • Outside West, the population of Centre dropped by an estimated 6,000 people in the last year, with the largest decrease in the population of 4e Section Crête Brûlee (Mirebalais) (-4,600 people).
    • In Artibonite, the population of 3e Section Labady (Petite Rivière de l'Artibonite) has decreased in the past 12 months (-2,100 people).
  • All remaining departments except South-East have seen their population increase over the last year, with largest increases in both South and North:
    • In South department, the largest increases of population are observed in 1re Section Bourdet (Les Cayes) (+2,000 people) and 2e Section Baie Dumesle (Saint Louis du Sud) (+1,200 people)
    • In North department, the largest increase of populations is observed in 2e Section la Belle Mère (Pignon) (+2,000 people)

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How to use this report

We provide population estimates that take into account population movements within Haiti, per month and per communal section. The current crisis has led to large population movements, particularly of internally displaced people (e.g. IOM round 9), which can result in population statistics becoming outdated over a few months, and therefore impairing preparedness efforts (e.g. hazard population exposure estimation, needs assessment, service and contingency planning).

Indicators presented

Estimated change: the difference in the estimated population between the first and last months of the 12 month reporting period, which does not reflect any monthly variation within.

For communal sections with fewer than 10 months of resident estimates during the reporting period, we do not make a trend classification (insufficient data). For monthly population estimates at the department level, we carry forward the latest estimate to fill missing months in a communal section so that the aggregated changes at the department level are only based on observed CDR-derived mobility.

For communal sections with fast changing populations, we categorised them as ‘increasing’, ‘decreasing’; ‘stable’, when there is little to no change; or as ‘fluctuating’ when large month-to-month changes prevented us from detecting a trend.

Data used

  • This report uses our v4.1 dataset (documentation, release notes), available at https://haiti.mobility-dashboard.org.
  • Monthly estimates of population per communal section (the “de facto” population) - derived from anonymous mobile phone data, weighted using survey data but unadjusted for population change due to births, deaths, immigration and emigration - only considering internal mobility in Haiti.

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About this report

Authors & contributors

This report was authored by the Flowminder Foundation, by Robert Eyre and Galina Veres, with the contribution of Christopher Brooks, Sophie Delaporte, Roland Hosner and Joachim Jellinek.

Robert Eyre produced and analysed the mobility statistics and co-wrote the report; Galina Veres interpreted the mobility statistics and co-wrote the report; Christopher Brooks and Joachim Jellinek produced the CDR aggregates and maintained the pipeline; Roland Hosner developed and applied the bias-adjustment and scaling method, and Sophie Delaporte supported with information product design, report review, translation and data visualisation.

Acknowledgements

This study was made possible thanks to the anonymised mobile phone usage data provided by Digicel Haiti, which are aggregated by Flowminder via FlowKit to provide statistics.

This work has been made possible thanks to funding from Haiti's Fund for Economic and Social Assistance (FAES).

Data privacy & governance

No personal data, such as an individual’s identity, demographics, location, contacts or movements, is made available to the government or any other third party at any time. All results produced by Flowminder are aggregated results (for example, subscriber density in a given municipality), which means that they do not contain any information about individual subscribers.

This data is fully anonymised. This approach complies with the European Union’s General Data Protection Regulation (EU GDPR2016/679). Data is processed on a server installed behind the mobile network operator’s firewall in Haiti, and no personal data eaves the operator’s premises.

Data considerations

The estimates shown are our best current assessment of movements. However, there are a number of uncertainties. The information should be interpreted together with other available evidence.

Data used

This report uses our v4.1 dataset (documentation, release notes), available at https://haiti.mobility-dashboard.org.

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