The Vietnam Time Use Survey project in 2022 was implemented to support the World Bank on collecting gender disaggregated data to monitor gender gaps:
(a) Contribute to the gender disaggregated time use data in Vietnam
(b) Provide indicators that measure the burden imposed by and differences time spent in unpaid houseworks, such as household chores, taking care of elders and children, in genders, urbanicity, ethnicities.
To reach these objectives, the project interviewed 6,000 respondents across 6 socio-economic regions of Vietnam, covering all kinds of ethnicities, occupations and income levels.
Unit of Analysis
- v2.1: Edited, anonymous dataset for public distribution.
The survey covered the following socio-economic regions:
- Red River Delta
- Central Highlands
- Mekong River Delta
The targeted respondents for the Vietnam Time Use Survey 2022 are Vietnamese residents from 15 to 64 years old, living in eligible household structures, who are physically and mentally able to participate in a 45 minutes survey. The universe of households was mixed between a baseline contact list provided by The World Bank from the VHLSS and the general population selected by random sampling methodology.
Producers and sponsors
General Statistics Office of Vietnam
Government of Vietnam
The Vietnam Time Use Survey 2022 project adopted a multi-stage area probability sample strategy made up of a two-level hierarchy of geographical units, at region (Primary Sampling Units – PSUs) and commune/ward level (Secondary Sampling Units – SSUs). For more details on sampling, see the sampling design section 2.1 of the technical report available as a downloadable resource).
Dates of Data Collection
Indochina Research (Vietnam) Ltd
The questionnaire consists of 5 parts:
1. Contact sheet
2. Household information and Respondent selection
3. Respondent information: education, employment, etc
4. Durable assets
5. Time use survey
The survey was implemented in [Vietnamese?] and the English version of the questionnaire is available as a downloadable resource.
Public Use Files
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
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.