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    Home / Central Data Catalog / IMPACT_EVALUATION / MOZ_2025_PASPIE-BL_V01_M
impact_evaluation

Impact Evaluation of Productive Social Action Program 2025
Baseline Survey

Mozambique, 2025
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Reference ID
MOZ_2025_PASPIE-BL_v01_M
Producer(s)
Dahyeon Jeong, Astrid Maria Theresia Zwager, Stefan Leeffers, Steven Glover
Collection(s)
Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Apr 20, 2026
Last modified
Apr 20, 2026
Page views
375
Downloads
10
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Identification
  • Version
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data processing
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    MOZ_2025_PASPIE-BL_v01_M

    Title

    Impact Evaluation of Productive Social Action Program 2025

    Subtitle

    Baseline Survey

    Abbreviation or Acronym

    PASPIE-BL 2025

    Country/Economy
    Name Country code
    Mozambique MOZ
    Study type

    1-2-3 Survey, phase 1 [hh/123-1]

    Abstract
    The PASP baseline survey was implemented between June and July 2025 to establish pre-intervention conditions for the Productive Social Action Program impact evaluation in Mozambique. The survey covered 285 communities across 10 districts in five provinces (Niassa, Nampula, Sofala, Manica, and Gaza), ensuring geographic and socio-economic diversity. A total of 6,864 households were interviewed, with an average of 24 households per community. The sampling frame targeted proposed PASP beneficiaries.
    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Household

    Version

    Version Date

    2025-12-10

    Coverage

    Geographic Coverage

    The evaluation sample covers 10 districts across the provinces of Niassa, Nampula, Sofala, Manica and Gaza.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Dahyeon Jeong World Bank
    Astrid Maria Theresia Zwager World Bank
    Stefan Leeffers UCL
    Steven Glover World Bank

    Sampling

    Sampling Procedure

    At the program level, the participant districts were selected based on the severity of food insecurity, poverty levels, and vulnerability to natural shocks, including extreme weather and other environmental risks, with a specific emphasis on arid and semi-arid regions. Once districts were selected, local authorities identified communities with higher levels of poverty and food insecurity. These areas typically have higher unemployment rates, lower agricultural production, and are more prone to droughts and floods. A list of selected communities was prepared and shared with the local INAS Delegation for prioritization within district targets. Finally, within selected communities, final beneficiaries were selected through several steps. First, the head of the locality or community leader, with technical support from the INAS Delegation and the INAS community representative (so-called “Permanentes”), prepared a preliminary list of households that fulfill the PASP’s targeting criteria. This pre-registration was shared with the District Government and is collated centrally. Household eligibility was then verified during a household validation/registration process. Household information collected through the validation/registration form was then used to calculate a Proxy Means Test (PMT) vulnerability score for each proposed beneficiary. With support from the PMT results, a final list of beneficiaries was prepared for each community to enter the PASP-PW component.

    For the impact evaluation, the final sample comprises a selection of the beneficiaries of the 2025 PASP cycle. First, the provinces of Niassa, Nampula, Sofala, Manica and Gaza were selected jointly with the MTGAS and INAS to be part of the impact evaluation. Within each province, ten districts for the impact evaluation were selected based on three criteria, (i) being rural, as those generally have the highest poverty rates, (ii) the vulnerability to climate risks of drought, floods, and cyclones, and (iii) having not recently implemented a cycle of the PASP. Within the ten selected districts, INAS has used their standard selection process to pre-identify 436 communities for the implementation of PASP-PW and PASP-ADIGR. The research team worked with the Government to identify geographic units (a community, or a combination of neighboring communities) that could form beneficiary groups between 15 to 40 households to select a final sample of 285 communities. INAS then identified beneficiaries within communities, creating a sample frame of 6,864 eligible beneficiaries to be surveyed at baseline. In post-intervention data collection rounds, up to 15 households will be sampled from the list of eligible households, forming a final sample of up to 4,275 households.

    Response Rate

    Out of the 6,864 eligible beneficiaries, 6,741 were surveyed. Response rate: 98.2%.

    Survey instrument

    Questionnaires

    The survey was conducted in Portuguese. The questionnaire is available for download.

    Data collection

    Dates of Data Collection
    Start End Cycle
    2025-06-09 2025-07-23 Baseline
    Mode of data collection
    • Face-to-face [f2f]

    Data processing

    Data Editing

    Personally identifiable information and RCT treatment assignment variables have been removed from the dataset.

    Data Access

    Citation requirements

    Use of the dataset must be acknowledged using a citation which would include:

    • the Identification of the Primary Investigator
    • the title of the survey (including country, acronym and year of implementation)
    • the survey reference number
    • the source and date of download

    Example:
    Dahyeon Jeong (World Bank Group), Astrid Maria Theresia Zwager (World Bank Group), Steven Glover (World Bank Group), Stefan Leeffers (UCL). Mozambique - Impact Evaluation of Productive Social Action Program 2025 - Baseline Survey 2025 (PASPIE 2025). Ref: MOZ_2025_PASPIE-BL_v01_M. Downloaded from [uri] on [date].

    Disclaimer and copyrights

    Disclaimer

    The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.

    Contacts

    Contacts
    Name Affiliation Email
    Steven Glover World Bank sglover1@worldbank.org

    Metadata production

    DDI Document ID

    DDI_MOZ_2025_PASPIE-BL_v01_M

    Producers
    Name Affiliation Role
    Development Data Group World Bank Group Documentation of the study

    Metadata version

    DDI Document version

    Version 01 (March 2026)

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