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Poverty and Groundwater Salinity Survey 2016

Bangladesh, 2016
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Reference ID
BGD_2016_PGSS_v01_M
Producer(s)
Monica Yanez-Pagans
Metadata
DDI/XML JSON
Created on
Oct 10, 2017
Last modified
Oct 10, 2017
Page views
9204
Downloads
415
  • Study Description
  • Data Dictionary
  • Downloads
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  • Identification
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data processing
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Identification

    Survey ID number

    BGD_2016_PGSS_v01_M

    Title

    Poverty and Groundwater Salinity Survey 2016

    Country
    Name Country code
    Bangladesh BGD
    Study type

    Other Household Survey [hh/oth]

    Abstract

    The main objective of the Bangladesh Poverty and Groundwater Salinity Survey (BPGSS) 2016 is to understand the linkages between groundwater salinity and poverty in coastal areas in Bangladesh. It is also to assess the extent to which high water salinity might be associated with poor health outcomes among women and children, and identify potential coping and adaptation mechanisms, which households might be using to address high water salinity in these areas.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Household

    Scope

    Notes

    The scope of the survey includes the following:

    • Household: Household characteristics, employment, assets, land, livestock, utilities, remittances, water and sanitation, farming
    • Household members: age, sex, education, hypertension, pregnancy complications
    • Migration: reasonss for migration

    Coverage

    Geographic Coverage

    The three upazilas selected for this study are the following: (i) Taltoli upazila in the Barguna district of the Barisal division; (ii) Morrelganj upazila in the Bagerhat district of the Khulna division; and (iii) Shyamnagar upazila in the Satkhira district in the Khulna division

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Monica Yanez-Pagans World Bank

    Sampling

    Sampling Procedure

    The Bangladesh Poverty and Groundwater Salinity Survey 2016 collected data from a total of 1,500 households in three sub-districts or upazilas in Bangladesh – 500 households in each upazila distributed across 50 primary sampling units (PSUs). The three upazilas selected for this study are the following: (i) Taltoli upazila in the Barguna district of the Barisal division; (ii) Morrelganj upazila in the Bagerhat district of the Khulna division; and (iii) Shyamnagar upazila in the Satkhira district in the Khulna division. Each upazila was allocated an equal size of households in order to get poverty estimates of similar precision. The sampling frame consists of a list of all rural villages developed by the Bangladesh Bureau of Statistics (BBS) based on the Census Enumeration Areas (CEAs) constructed for the 2011 Census of Population and Housing. PSUs are constructed by dividing rural villages into listing blocks or Enumeration Areas (EAs) of around 50 households each and then randomly selecting one block for listing.

    The three upazilas included in this study where selected based on discussion with a water salinity expert in Bangladesh and practical considerations using a two-stage procedure. In the first stage, we combined upazila level poverty data from the official 2010 Bangladesh Poverty Maps with upazila level information on groundwater salinity collected by the Bangladesh Water Development Board (BWDB) with support from the Institute of Water Modelling (IWM). Using these combined dataset, we classified all 146 upazilas in coastal areas in four groups: (i) high water salinity and high poverty rate; (ii) high water salinity and low poverty rates; (iii) low water salinity and high poverty rate; (iv) low water salinity and low poverty rates. Figure 1 shows the spatial distribution of coastal area upazilas based on these four categories. In the second stage, we selected one upazila from each of the first three categories as focal areas for this study after discussion with a groundwater expert on availability of other water-supply options (e.g. managed aquifer recharge) and practical considerations. This categorization of upazilas also serve as our three sampling strata – high water salinity and high poverty rate, high water salinity and low poverty rates, and low water salinity and high poverty rate.

    Survey instrument

    Questionnaires

    The household questionnaire is available in Bengali and English under the Related Materials tab.

    Data collection

    Dates of Data Collection
    Start End
    2016 2016
    Data Collectors
    Name
    Nielsen Company

    Data processing

    Data Editing

    Data entry and editing was done by Survey CTO.

    Data Access

    Access authority
    Name Affiliation URL
    Microdata Library World Bank microdata.worldbank.org
    Confidentiality
    Is signing of a confidentiality declaration required? Confidentiality declaration text
    yes Before being granted access to the dataset, all users have to formally agree: 1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the data depositor. 2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files. 3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately brought to the attention of the data depositor.
    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:

    The World Bank. Bangladesh Poverty and Groundwater Salinity Survey (BPGSS) 2016. Ref. BGD_2016_PGSS_v01_M. Downloaded from [URL] 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 URL
    Monica Yanez-Pagans World Bank myanezpagans@worldbank.org
    Yurani Arias-Granada World Bank yariasgranada@worldbank.org
    Microdata Library World Bank microdata.worldbank.org
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