{"doc_desc":{"title":"IDN_2022_SCNTUCWB_v01_M","idno":"DDI_IDN_2022_SCNTUCWB_v01_M_WB","producers":[{"name":"Development Data Group","abbr":"DECDG","affiliation":"World Bank","role":"Documentation of the study"}],"prod_date":"2026-04-21","version_statement":{"version":"Version 01 (2026-04-21)"}},"study_desc":{"title_statement":{"idno":"IDN_2022_SCNTUCWB_v01_M","title":"Survey on Childcare Needs, Time Use and Child Well-being in Indonesia, 2022","alternate_title":"SCNTUCWB, 2022"},"authoring_entity":[{"name":"The World Bank","affiliation":""}],"production_statement":{"funding_agencies":[{"name":"Australia - World Bank Indonesia Partnership","abbr":"ABIP","role":""},{"name":"The Australian Department of Foreign Affairs and Trade","abbr":"DFAT","role":""}]},"distribution_statement":{"contact":[{"name":"Emcet Oktay Tas","affiliation":"The World Bank","email":"etas@worldbank.org","uri":""},{"name":"Tanima Ahmed","affiliation":"IFC","email":"tahmed9@ifc.org","uri":""},{"name":"Ririn Purnamasari","affiliation":"The World Bank","email":"rpurnamasari@worldbank.org","uri":""}],"depositor":[{"name":"World Bank","abbr":"","affiliation":"","uri":""}]},"series_statement":{"series_name":"Other Household Survey [hh\/oth]","series_info":"The survey was administered from 2022-12-20 to 2023-01-30."},"version_statement":{"version":"This version contains the survey data from all 15 survey modules that have been anonymized for public use.","version_date":"2026-03-27"},"study_info":{"abstract":"This survey covers a nationally representative sample of households with children aged 0\u20136 years assessing the demand and preferences for childcare in Indonesia. By focusing on the perspectives of primary caregivers\u2014predominantly mothers\u2014the survey includes comprehensive data on household demographics, socio-economic status, time use, and normative beliefs regarding caregiving. It also captures service delivery and caregiving aspects including the availability and affordability of childcare support and the caregivers' labor market outcomes and time allocation, and children\u2019s early childhood development outcomes.","coll_dates":[{"start":"2022-12-20","end":"2023-01-30","cycle":""}],"nation":[{"name":"Indonesia","abbreviation":"IDN"}],"geog_coverage":"National","analysis_unit":"Household-level; Individual-level; Household\u2019s primary caregiver; Children under 6 years old; Child-by-care arrangement level; Activity diary","data_kind":"Sample survey data [ssd]"},"method":{"data_collection":{"sampling_procedure":"The survey adopted a stratified four-stage probability sampling design to produce nationally representative estimates of childcare needs, time use, and children\u2019s wellbeing, with planned disaggregation by region (Java vs. Outside Java) and by urban\u2013rural residence. Sampling was conducted using probability-based methods at every stage. Districts were selected using probability proportional to estimated size (PPES), villages and hamlets\/RW\/dusun were selected using probability proportional to size (PPS), and eligible households were selected through systematic random sampling within sampled hamlets. \n\nAt the first stage, districts and cities served as primary sampling units and were selected using probability proportional to estimated size (PPES). Districts were stratified by region (Java and Outside Java) and administrative type (regency [kabupaten] vs. city [kota]), and their selection probabilities were based on an estimated measure of size reflecting the number of eligible households -- defined as households with at least one child aged 0\u20136 years and at least one woman aged 15 years or older. This measure of size was constructed using auxiliary data to account for variation in both child presence and adult female population across districts. A total of 40 districts were selected nationwide, and these districts are shown in the sampling document provided under Downloads.\n\nAt the second stage, five villages were selected within each sampled district using probability proportional to size (PPS), where size was defined as the total number of households (taken from PODES). Villages were stratified by urban and rural classification prior to selection to ensure balanced representation across settlement types.  \n\nAt the third stage, one hamlet\/RW\/dusun was selected within each sampled village using PPS based on the number of households, with hamlet-level household counts obtained from village officials during field listing.  \n\nAt the fourth stage, 15 eligible households were selected within each sampled hamlet using systematic random sampling from the eligible-household list compiled in the field. In each selected household, one eligible child aged 0\u20136 years was selected using a Kish method. Before applying the Kish table, eligible children were listed by sex and age: female children first, followed by male children, with each group ordered from oldest to youngest. \n\nFor more details on the sampling process, users can consult the accompanying sampling documentation.","coll_mode":["Computer Assisted Personal Interview [capi]"],"research_instrument":"The English version of the questionnaire is available for download under the Documentation section.","coll_situation":"Data collection was conducted by the contracted survey firm, REDI.","weight":"Survey weights were constructed to account for the unequal probabilities of selection arising from the stratified four-stage sampling design and to support nationally representative estimates for the population of eligible households in Indonesia, defined as households with at least one child aged 0\u20136 years and at least one woman aged 15 years or older. The final household analysis weight was defined as the inverse of the overall probability of selection for each responding household, calculated as the product of the selection probabilities at each stage of sampling: district selection, village selection, hamlet\/RW\/dusun selection, and household selection.  \n\nIn the first stage, districts\/cities were selected using probability proportional to estimated size (PPES), where size was defined by the estimated number of eligible households. In the second and third stages, villages and hamlets were selected using probability proportional to size (PPS), based on household counts. In the final stage, 15 eligible households were selected within each sampled hamlet using systematic random sampling. \n\nThe resulting base household weights are intended for use in descriptive and inferential analysis to recover unbiased population-level estimates. Because the survey used a complex sample design, variance estimation should account for both stratification and clustering, particularly at the district and village levels. The documentation accompanying the dataset identifies the necessary weight variable and survey design parameters for implementation in statistical software."},"analysis_info":{"response_rate":"During the fieldwork, the study implemented a respondent replacement procedure to address cases where selected households could not be successfully interviewed due to certain factors, such as refusals to participate, illness or unavailability at the time of interview. If the originally sampled household was unavailable, the enumerator replaced it with another eligible household from the same village listing. Replacement households were selected from the next entry in the ordered household roster. Each replacement case was recorded, together with the reason for substitution to ensure transparency in the implementation of the sampling procedure.  \n\nAcross the survey implementation, a total of 79 households were replaced. This corresponds to an overall replacement rate of 2.6 percent relative to the target sample of 3,000 households."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"","required":"","form_no":"","form_uri":""}],"contact":[{"name":"Emcet Oktay Tas","affiliation":"The World Bank","email":"","uri":""},{"name":"Tanima Ahmed","affiliation":"IFC","email":"","uri":""},{"name":"Ririn Purnamasari","affiliation":"The World Bank","email":"","uri":""}],"cit_req":"Use of the dataset must be acknowledged using a citation which would include: \n - the Identification of the Primary Investigator\n - the title of the survey (including country, acronym and year of implementation)\n - the survey reference number\n - the source and date of download\n\n Example:\n The World Bank. Indonesia - Survey on Childcare Needs, Time Use and Child Well-being in Indonesia, 2022 (SCNTUCWB, 2022). Ref: IDN_2022_SCNTUCWB_v01_M. Downloaded from [uri] on [date].","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."}}},"schematype":"survey","tags":[{"tag":"DOI"}]}