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    Home / Central Data Catalog / SAO / UNHABITAT_MOZ_2025_PROFILING
SAO

Urban Durable Solutions Survey Pemba - 2025

Mozambique, 2025
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Reference ID
UNHABITAT_MOZ_2025_PROFILING
Producer(s)
UNHABITAT, JIPS, IOM
Collections
Southern Africa IDP Profiling
Metadata
Documentation in PDF DDI/XML JSON
Created on
May 01, 2026
Last modified
May 20, 2026
Page views
1701
Downloads
12
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Producers and sponsors
  • Sampling
  • Data collection
  • Data Access
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    UNHABITAT_MOZ_2025_PROFILING

    Title

    Urban Durable Solutions Survey Pemba - 2025

    Country
    Name Country code
    Mozambique MOZ
    Abstract

    This dataset originates from an urban durable solutions profiling survey conducted in the districts of Pemba, Metuge and Mecufi in Mozambique, focusing on internally displaced persons (IDPs) and host communities. It captures key dimensions such as demographics, living conditions, security, employment and livelihoods, housing, documentation, family reunification, social cohesion, civic participation, access to justice, and future intentions of IDPs.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Household and individual.

    Version

    Version Description

    v2.1: Edited, cleaned and anonymised data.

    Scope

    Notes

    The scope includes:
    • demographics
    • living conditions
    • livelihoods
    • housing
    • social cohesion
    • intentions

    Topics
    Topic
    Livelihood and Social cohesion
    Health and Nutrition
    Food security
    Water Sanitation Hygiene
    Protection
    Education
    Basic Needs
    Keywords
    IDPs profiling

    Producers and sponsors

    Primary investigators
    Name
    UNHABITAT
    JIPS
    IOM

    Sampling

    Sampling Procedure

    A stratified two-stage cluster sampling methodology was applied: In the first stage, Enumeration Areas (polygons) were selected within each stratum. In a second step, households were randomly sampled in each polygon. Results are statistically representative at the stratum level, permitting comparative analysis between the target groups in each stratum. Specifically:

    IDP sample & limitations:

    • The sample was distributed across neighbourhoods (admin level 3) proportionately to the estimated IDP population size (as per IOM/DTM estimates from Round 22). Within each neighbourhood (admin level 3), polygons were created to capture the areas with high density of IDPs. The samples were further distributed across these polygons proportionately to the population density of the polygons. An interval for the interviews was calculated and every Xth household was interviewed. If the selected household was not an IDP, the interviewer continued to the next until the target sample per polygon was reached.
    • For the IDP camps, no polygons were needed, the sample was distributed across the Sites proportionately to the population size and the households were randomly interviewed within the Site based on a set interval.
    • Representativity: The IDP samples in Pemba are representative of areas with higher presence of IDPs; the IDP samples in Metuge and Mecufi are representative of neighborhoods hosting IDPs; and the IDP sample in the Sites are representative of the sites across Metuge and Mecufi.

    Non-displaced sample & limitations:

    • Enumeration areas (EA) were randomly sampled by INE in strata 1 and 2 of Pemba. In each EA, 30 households were randomly interviewed.
    • Representativity: The non-displaced sample is representative of the local population at strata level in Pemba. For Strata 3 in Mecufi and Metuge: the non-displaced samples were distributed across the same polygons created for the IDPs (areas hosting IDPs). The sample is thus representative of the hosting areas and not of the district.

    The IDP samples were calculated based on the DTM round 22 population estimates for each of the 4 strata and ensuring a 5% margin of error, 95% confidence. Because of the two-stage sampling design, a design effect of 1.2 was also added.
    The non-displaced samples were calculated based on a standard maximum population size, 5% margin of error, 95% confidence and again adding the design effect of 1.2.

    Data collection

    Dates of Data Collection
    Start End
    2025-12-01 2025-12-20
    Mode of data collection
    • Computer Assisted Personal Interview [capi]
    Data Collectors
    Name
    UNHABITAT
    IOM

    Data Access

    Citation requirements

    UNHABITAT, JIPS, IOM (2025). Mozambique: Urban Durable Solutions Survey Pemba - 2025. Accessed from: https://microdata.unhcr.org

    Contacts

    Contacts
    Name Affiliation Email
    Curation team UNHCR microdata@unhcr.org

    Metadata production

    DDI Document ID

    UNHCR_MOZ_2025_PROFILING_v2.1

    Producers
    Name
    UNHCR
    Date of Metadata Production

    2026-05-01

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