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Stormwater Management and Climate Change Adaptation Impact Evaluation 2014-2016

Senegal, 2014 - 2016
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Reference ID
SEN_2014-2016_SMCCAIE_v01_M
Producer(s)
Carol Newan, Tara Mitchell, Marcus Holmlund
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Jul 28, 2025
Last modified
Jul 28, 2025
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21
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  • Study Description
  • Data Dictionary
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  • Identification
  • Scope
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Depositor information
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    SEN_2014-2016_SMCCAIE_v01_M

    Title

    Stormwater Management and Climate Change Adaptation Impact Evaluation 2014-2016

    Abbreviation or Acronym

    SMCCAIE 2014-2016

    Country
    Name Country code
    Senegal SEN
    Study type

    Other Household Survey

    Abstract

    The Senegal Stormwater Management and Climate Change Adaptation Impact Evaluation, Baseline Survey (SMCCAIE-BL) 2014 was collected for DIME’s impact evaluation on community engagement mechanisms in the preservation of public spaces and drainage infrastructures. It is carried out in the context of the World Bank-assisted Stormwater Management and Climate Change Adaptation Project (PROGEP), which is implemented by the Dakar Municipal Development Agency (ADM) in Senegal. It will inform strategies through which PROGEP and similar projects can achieve their community engagement objectives, which are vital to the sustainability and return on these investments. Furthermore, it will contribute to our understanding of community directed development (CDD) interventions in urban settings. Data collected through the IE, including at baseline, will improve our understanding of populations living in PROGEP areas and inform the better targeting of project activities and other investments in these and similar settings.

    Kind of Data

    Sample survey data [ssd]

    Scope

    Notes

    Household: Household demographics, Livelihoods and income sources, Socioeconomic characteristics, Health outcomes, Exposure to flooding, Knowledge of risk mitigation methods, and attitudes towards community participation and one's general responsibilities vs the community.

    • Direct observation of public spaces by the enumerator
    • Persons interviewed as part of the household survey, played a set of behavioral games to better understand group dynamics

    Community: Basic group characteristics, Motivations for participating, Attitudes towards civic participation, Nature of activities carried out.

    • Participants collectively surveyed on recent and ongoing flood-prevention related activities in their community, on community efforts for waste management and the maintenance of infrastructure, and on the incidence of adverse events

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Carol Newan Trinity College of Dublin
    Tara Mitchell Trinity College of Dublin
    Marcus Holmlund DECDI, World Bank
    Funding Agency/Sponsor
    Name Abbreviation
    Nordic Development Fund NDF
    UK-DFID Trust Fund i2i

    Sampling

    Sampling Procedure

    The PROGEP IE uses a randomized controlled trial (RCT) study design. Given a list of areas, such a study design assigns the focal intervention to some areas completely at random, while other areas remain without the intervention. With a sufficiently large number of areas over which to randomize, such a procedure ensures that, on average, those areas assigned to receive the intervention (the "treatment" group) are statistically equivalent to those areas not assigned to receive the intervention (the "control" group). In the absence of the intervention, we would expect that outcomes in the treatment and control groups would remain identical, as they are both exposed to the same influences on average. With the intervention, however, we introduce a new factor which only affects the treatment group. We can therefore confidently attribute any differences in outcomes following the treatment to the intervention alone. Additional details on sampling provided in the Impact evaluation study design section of the report provided as related material.

    Deviations from the Sample Design

    A first challenge in data collection resulted from the fluid nature of urban communities in the study area. As mentioned in Section IV (OQP Intervention), quartiers and CBOs are sometimes dynamic units. At the time of the baseline survey, a small subset of pre-identified quartiers (4) and CBOs (16), identified earlier in the study design process, could not be located. Missing quartiers and CBOs were replaced. This issue did not reemerge during the follow-up, suggesting that the “missing” quartiers and CBOs were anomalies. While it is perhaps not so unusual for CBOs to disband, the disappearance of a geographic unit such as a quartier warrants further attention. It should be noted, however, that the list of quartiers was created by PROGEP’s SFs, and so the four missing quartiers are likely due to errors in that process.

    A second challenge related to locating households and CBOs for the follow-up (or endline) survey. The household and CBO surveys are both panel surveys, which means that the same households and CBOs were surveyed at baseline and follow-up. While identifying CBOs at follow-up was relatively straightforward – particularly for those in the treatment group – identifying households in the baseline sample was more complicated given the absence of a formal system of street names and addresses.

    At baseline, GPS coordinates for each household were taken in addition to other identifying information. These coordinates were to be the primary means of re-identifying households. These data, however, turned out to be of little use due to the density of the cities of Pikine and Guédiawaye and the lack of precision in GPS measurement (e.g. a precision of 100 meters can include the totality of houses in one quartier). To overcome this challenge, enumerators relied on neighbor networks and baseline “addresses” to locate the correct households. If a household could not be initially located, the enumerator followed a replacement protocol. These measures allowed us to achieve a low attrition rate: out of the 2,400 households surveyed at baseline, only 115 could not be included in the endline survey, an attrition rate of less than 5%. Table 6 of the survey report summarizes the target and achieved sample sizes for the household and CBO surveys at baseline and endline.

    Response Rate

    The response rate was 95%

    Survey instrument

    Questionnaires

    The household questionnaire collected information on
    (i) household demographics,
    (ii) livelihoods and income sources,
    (iii) socioeconomic characteristics,
    (iv) health outcomes,
    (v) exposure to flooding,
    (vi) knowledge of flood risk mitigation methods, and
    (vii) attitudes towards community participation and one’s general responsibilities vis-à-vis the community (and vice-versa), including a “decision activity” section designed to measure willingness to contribute to a public good.
    Enumerators also recorded their direct observations of the general cleanliness of the immediate area around the household.

    At endline, an additional set of questions were asked about the OQP to measure household awareness and perception of the intervention. As the endline was collected after the rainy season of 2016, questions related to flooding were also added for 2015 and 2016. Table 5 of the survey report summarizes the sections included in the baseline and endline surveys.

    Data collection

    Dates of Data Collection
    Start End Cycle
    2014-11 2014-12 Baseline
    2016-10-01 2016-11-30 Endline
    Mode of data collection
    • Computer Assisted Personal Interview [capi]

    Depositor information

    Depositor
    Name
    DECDI, World Bank

    Data Access

    Access authority
    Name Affiliation
    Marcus Holmlund DECDI, World Bank
    Chloe Fernandez DECDI, World Bank
    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:
    Carol Newan (Trinity College of Dublin), Tara Mitchell (Trinity College of Dublin), Marcus Holmlund (DECDI, World Bank). Senegal - Stormwater Management and Climate Change Adaptation Impact Evaluation 2014-2016 (SMCCAIE 2014-2016). Ref: SEN_2014-2016_SMCCAIE_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
    Marcus Holmlund DECDI, World Bank mholmlund@worldbank.org
    Chloe Fernandez DECDI, World Bank cfernandez2@worldbank.org

    Metadata production

    DDI Document ID

    DDI_SEN_2014-2016_SMCCAIE_v01_M_WB

    Producers
    Name Abbreviation Affiliation Role
    Development Data Group DECDG World Bank Documentation of the study
    Date of Metadata Production

    2025-03-17

    Metadata version

    DDI Document version

    Version 01 (2025-03-17)

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