BGD_2018_DIGNITY_v01_M
Dhaka Low Income Area Gender, Inclusion, and Poverty Survey 2018
Name | Country code |
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Bangladesh | BGD |
Integrated Survey (non-LSMS) [hh/is]
The Data for Low Income Area Gender, Inclusion, and Poverty (DIGNITY) survey was designed to shed light on poverty, economic empowerment, and livelihood in urban areas of Bangladesh. So far it has been conducted in two cities in Bangladesh - Dhaka (documented in this DDI) and Chittagong. The survey collected issues related to women's economic empowerment, ranging from demographic and socioeconomic characteristics to a detailed work history, time use, and attitudes about work, and perceptions of work.
Sample survey data [ssd]
-v01: Edited, anonymous datasets for public distribution.
The 2018 DIGNITY Survey covered the following topics:
Household Section:
• Household Identification
• Household Roster
• Housing
• Consumption
• Services
Individual Section:
• Individual Identification
• Employment and Childcare
• Work History, Training, Mentoring
• Time Use
• Family and Marriage
• Migration
• Dwelling and Land Ownership
• Access to Productive Capital
• Access to Finance
• Group Membership
• Attitudes toward Work and Earnings
• Intra-household Relationships
• Individual Leadership and Influence in the Community
• Safety Perception
• Aspiration, Stress and Depression
• Crisis
The DIGNITY survey is representative of low-income areas and slums of the Dhaka City Corporations (North and South, from here on referred to as Dhaka CCs), and an additional low-income site from the Greater Dhaka Statistical Metropolitan Area (SMA).
Name |
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The World Bank Group |
Name | Role |
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Umbrella Facility for Gender Equality | Financial Assistance |
The sampling procedure followed a two-stage stratification design. The major features include the following steps (they are discussed in more detail in a copy of the study's report and the sampling document located in "External Resources"):
FIRST STAGE: Selection of the PSUs
Low-income primary sampling units (PSUs) were defined as nonslum census enumeration areas (EAs), in which the small-sample area estimate of the poverty rate is higher than 8 percent (using the 2011 Bangladesh Poverty Map). The sampling frame for these low-income areas in the Dhaka City Corporations (CCs) and Greater Dhaka is based on the population census of 2011. For the Dhaka CCs, all low-income census EAs formed the sampling frame. In the Greater Dhaka area, the frame was formed by all low-income census EAs in specific thanas (i.e. administrative unit in Bangladesh) where World Bank project were located.
Three strata were used for sampling the low-income EAs. These strata were defined based on the poverty head-count ratios. The first stratum encompasses EAs with a poverty headcount ratio between 8 and 10 percent; the second stratum between 11 and 14 percent; and the third stratum, those exceeding 15 percent.
Slums were defined as informal settlements that were listed in the Bangladesh Bureau of Statistics' slum census from 2013/14. This census was used as sampling frame of the slum areas. Only slums in the Dhaka City Corporations are included. Again, three strata were used to sample the slums. This time the strata were based on the size of the slums. The first stratum comprises slums of 50 to 75 households; the second 76 to 99 households; and the third, 100 or more households. Small slums with fewer than 50 households were not included in the sampling frame. Very small slums were included in the low-income neighborhood selection if they are in a low-income area.
Altogether, the DIGNITY survey collected data from 67 PSUs.
SECOND STAGE: Selection of the Households
In each sampled PSU a complete listing of households was done to form the frame for the second stage of sampling: the selection of households. When the number of households in a PSU was very large, smaller sections of the neighborhood were identified, and one section was randomly selected to be listed. The listing data collected information on the demographics of the household to determine whether a household fell into one of the three categories that were used to stratify the household sample:
i) households with both working-age male and female members;
ii) households with only a working-age female;
iii) households with only a working-age male.
Households were selected from each stratum with the predetermined ratio of 16:3:1. In some cases there were not enough households in categories (ii) and (iii) to stick to this ratio; in this case all of the households in the category were sampled, and additional households were selected from the first category to bring the total number of households sampled in each PSU to 20.
The total sample consisted of 1,300 households (2,378 individuals).
The sampling for 1300 households was planned after the listing exercise. During the field work, about 115 households (8.8 percent) could not be interviewed due to household refusal or absence. These households were replaced with reserved households in the sample.
The weight was constructed as the inverse likelihood of a particular household being selected.
Please see the sampling document in 'External Documents' for more detailed information on how the probability of a particular household to be selected was calculated as well as more information on the weighting attributed to each household.
The questionnaires for the survey were developed by the World Bank, with assistance from the survey firm, DATA. Comments were incorporated following the pilot tests and practice session/pretest.
Start | End |
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2018-06-06 | 2018-06-19 |
Name |
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Data Analysis and Technical Assistance |
Collected data was entered into a computer by using the customized MS Access data input software developed by Data Analysis and Technical Assistance (DATA). Once data entry was completed, two different techniques were employed to check consistency and validity of data as follows:
Use of the dataset must be acknowledged using a citation which would include:
Example:
The World Bank Group. Dhaka Low Income Area Gender, Inclusion, and Poverty Survey (DIGNITY) 2018, Ref. BGD_2018_DIGNITY_v01_M. Dataset downloaded from [url] on [date].
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.
Name | Affiliation | |
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Aphichoke Kotikula | The World Bank Group | akotikula@worldbank.org |
DDI_BGD_2018_DIGNITY_v01_M_WB
Name | Affiliation | Role |
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Development Economics Data Group | The World Bank | Documentation of the study |
2020-01-31
Version 01 (January 2020)
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