Chattogram Low Income Area Gender, Inclusion, and Poverty Survey 2019
Bangladesh, 2019
Get MicrodataIdentification
BGD_2019_CITY_v01_M
Chattogram Low Income Area Gender, Inclusion, and Poverty Survey 2019
| Name | Country code |
|---|---|
| Bangladesh | BGD |
Socio-Economic/Monitoring Survey [hh/sems]
The Chattogram for Low Income Area Gender, Inclusion, and Poverty (CITY) survey was designed to shed light on poverty, economic empowerment, and livelihoods of households who reside in slum and non-slum poor neighborhoods in Chattogram Statistical Metropolitan Area (SMA). So far it has been conducted Chattogram and Dhaka (BGD_2018_DIGNITY_v01_M). 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.
The main objective of the 2019 Chattogram for Low Income Area Gender, Inclusion, and Poverty (CITY) study is to collect primary data from male and female residents in slum and non-slum poor neighborhoods in Chattogram, the second largest city of Bangladesh, and build the evidence base about their constraints to access more and better jobs. The CITY survey was designed to shed light on poverty, economic empowerment, and livelihood in urban areas of Bangladesh as well as to identify key constraints and solutions for low-income women trying to obtain better jobs.
A broad array of information was collected on issues related to women's economic empowerment, ranging from demographic and socioeconomic characteristics to detailed work history, time use, attitudes about work, and perceptions of work. The key feature of this survey is to collect economic data directly from the main household members, generally the main couples, unlike traditional surveys which only interviewed the heads of households (who tend to be men in most cases); thus, failed to gather valuable information from the female population.
Sample survey data [ssd]
Household, individual
Version
-v01: Edited, anonymous datasets for public distribution.
2020-04-03
Scope
The 2019 CITY survey covered the following topics:
Household section:
- Household demographic characteristics
- Household characteristics
- Consumption profile of basic food items such as rice, milk, meat, eggs and fishes
- Household income
- Access to basic community level services
Individual level:
- Labor market dynamics
- Education
- Migration history
- Crisis management
- Aspirations and mental health status
- Detailed time-use over a 24-hour period
- Safety and security perception
- Attitude to work and earnings
- Access to financial inclusion
Coverage
Poor areas of slum & non-slum areas of Chattogram, the second largest city of Bangladesh.
Producers and sponsors
| Name | Affiliation |
|---|---|
| Wameq Azfar Raza | World Bank (Poverty and Equity GP) |
| Syud Amer Ahmed | World Bank (Social Protection and Jobs GP) |
| Jyotirmoy Saha | World Bank (Social Protection and Jobs GP) |
| Johannes Hoogeveen | World Bank (Poverty and Equity GP) |
| Name | Role |
|---|---|
| Rapid Social Response Trust Fund | Funder |
| Name | Affiliation |
|---|---|
| Maria Eugenia Genoni | World Bank (Poverty and Equity GP) |
| Ana Maria Munoz Boudet | World Bank (Poverty and Equity GP) |
Sampling
The CITY 2019 survey was designed using a two-stage sampling strategy. The major features include the following steps:
FIRST STAGE:
The primary sampling units (PSUs) in the first stage were selected using a probability proportional to size (PPS) methods. Using the 2011 census sampling frame, low-income PSUs were defined as non-slum census enumeration areas (EAs) using the 2011 Bangladesh Poverty Map. 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 less than 10%; the second stratum between 11% and 14%; and the third stratum, those exceeding 15%. Overall, 22 low-income EAs were selected in the Chattogram City Corporation (CC).
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. Based on the sizes of the slums, three strata were used for sampling purposes. 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, more than 100 households. Small slums with fewer than 50 households were not included in the sampling frame. Overall, 18 slums were included as a part of the survey.
SECOND STAGE:
The second stage of the selection process in each of the EAs began with a listing exercise. For very large EAs, a smaller section was delineated for the listing. The second level of stratification are defined as follows:
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 randomly selected from each stratum with the predetermined ratio of 16:3:1. Overall, data was collected from 805 households (1289 individuals - 580 in slum and 709 in non-slum areas).
For EAs where the ratio was unable to be attained due to absence of households in certain strata, households from the first category to arrive at a final number of 20 per EA.
77%
Sampling weights were calculated in two stages. The first stage involves the calculation of probability of each cluster being sampled within each stratum. The probability of selection of households within each stratum are calculated from the total listed households from each of the strata in each EA. The overall likelihood of a household being selected from each stratum is therefore calculated as the product of the two probabilities. The household weights are subsequently constructed as the inverse of the likelihood of a household being selected.
Data collection
| Start | End |
|---|---|
| 2019-09-02 | 2019-10-28 |
| Name | Affiliation |
|---|---|
| Data International Limited | External Survey Firm |
Overall data collection monitoring and cleaning was performed by World Bank staff.
A structured questionnaire was administered to respondents and the information was collected electronically using a Computer Assisted Personal Interviewing (CAPI) program. The use of CAPI has several redeeming qualities including limiting the scope for human error. Additionally, several checks were put into place to ensure quality and reliability of the data collected including thorough training of the field enumerators, engagement of field operation specialists and supervisors. Regular spot checks were conducted in addition to random verification checks of 10 percent of the sample in each of the locations. The World Bank team further conducted periodic checks (both electronically and in person in the field) during the data collection process to ensure adherence to the protocols.
Data Access
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 Group. Chattogram Low Income Area Gender, Inclusion, and Poverty Survey (CITY) 2019, Ref. BGD_2019_CITY_v01_M. Dataset downloaded from [url] on [date].
Disclaimer and copyrights
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
| Name | Affiliation | |
|---|---|---|
| Wameq Azfar Raza | World Bank - Poverty & Equity | wraza@worldbank.org |
| Jyotirmoy Saha | World Bank - Social Protection & Jobs | jsaha@worldbank.org |
| Microdata Library | World Bank | microdata@worldbank.org |
Metadata production
DDI_BGD_2019_CITY_v01_M_WB
| Name | Affiliation | Role |
|---|---|---|
| Development Economics Data Group | The World Bank | Documentation of the DDI |
2020-04-03
Metadata version
Version 01 (April 2020)