The STAMINA study examined the nutritional risks of low-income peri-urban mothers, infants and young children, and households in Peru during the COVID-19 pandemic. The study was designed to capture information through three, repeated cross-sectional surveys at approximately 6 month intervals over an 18 month period, starting in December 2020. The surveys were carried out by telephone in November-December 2020, July-August 2021 and in February-April 2022. The third survey took place over a longer period to allow for a household visit after the telephone interview.The study areas were Manchay (Lima) and Huánuco district in the Andean highlands (~ 1900m above sea level).In each study area, we purposively selected the principal health centre and one subsidiary health centre. Peri-urban communities under the jurisdiction of these health centres were then selected to participate. Systematic random sampling was employed with quotas for IYC age (6-11, 12-17 and 18-23 months) to recruit a target sample size of 250 mother-infant pairs for each survey. .Data collected included: household socio-demographic characteristics; infant and young child feeding practices (IYCF), child and maternal qualitative 24-hour dietary recalls/7 day food frequency questionnaires, household food insecurity experience measured using the validated Food Insecurity Experience Scale (FIES) survey module (Cafiero, Viviani, & Nord, 2018), and maternal mental health.In addition, questions that assessed the impact of COVID-19 on households including changes in employment status, adaptations to finance, sources of financial support, household food insecurity experience as well as access to, and uptake of, well-child clinics and vaccination health services were included.This folder includes the dataset and dictionary of variables for survey 1 (English only).The survey questionnaire for survey 1 is available at 10.17028/rd.lboro.16825507.

ALLBUS (GGSS - the German General Social Survey) is a biennial trend survey based on random samples of the German population. Established in 1980, its mission is to monitor attitudes, behavior, and social change in Germany. Each ALLBUS cross-sectional survey consists of one or two main question modules covering changing topics, a range of supplementary questions and a core module providing detailed demographic information. Additionally, data on the interview and the interviewers are provided as well. Key topics generally follow a 10-year replication cycle, many individual indicators and item batteries are replicated at shorter intervals. The present data set contains socio-demographic variables from the ALLBUS 2021, which were harmonized to the standards developed as part of the KonsortSWD sub-project “Harmonized Variables” (Schneider et al., 2023). While there are already established recommendations for the formulation of socio-demographic questionnaire items (e.g. the “Demographic Standards” by Hoffmeyer-Zlotnik et al., 2016), there were no such standards at the variable level. The KonsortSWD project closes this gap and establishes 32 standard variables for 19 socio-demographic characteristics contained in this dataset.

Abstract

SDES in Kabul was launched in June 2013, jointly by the Central Statistics Organization (CSO) and the United Nations Population Fund (UNFPA) where the latter provided the technical assistance to the entire survey operations. SDES data serve as the benchmark for demographic information at the district level and to some extent, group of villages/enumeration areas. It is the only survey that addresses the need of local development planners for information at the lower level of disaggregation. There are other surveys that CSO has conducted but these are available only at the national and provincial levels.

To achieve a responsive and appropriate policymaking, statistics plays a vital role. In Afghanistan, there has been a longstanding lack of reliable information at the provincial and district levels which hinders the policy making bodies and development planners to come up with comprehensive plans on how to improve the lives of Afghans. With SDES data, though it is not complete yet for the whole country, most of the important indicators in monitoring the progress towards the achievement of Afghanistan's Millennium Development Goals (MDGs) are being collected.

The main objectives of the survey were: · Gathering data for evidence based decision making, policy, planning and management · Providing data for business and industries · Providing policy and planning for residence housing · Providing data about vulnerable populations · Providing data for the basis of humanitarian assistance · Availability of data for research and analysis

Geographic coverage

Kabul Province Kabul Districts Kabul Villages

Analysis unit

Individuals, households

Universe

The survey covered all de jure household members (usual residents)

Kind of data

Sample survey data [ssd]

Sampling procedure

The survey consisted of two related activities: a) the extensive listing and mapping of houses, establishments and institutions (conducted before the household survey) and b) the household survey.

The listing and mapping covered all houses, businesses and institutions in every village and urban area in Kabul Province and included the preparation of sketch maps on which the physical location of each building structure was marked during the canvassing. The locations of important public services, establishments and institutions such as schools, hospitals, banks, etc., were pinpointed using global positioning system (GPS) devices at a later date.

The surveyors used the mapping outputs to guide them in conducting the survey and ensure complete coverage. In total, 16 nahias, and around 843 villages in 14 districts in Kabul Province were canvassed, divided into 3,068 enumeration areas.

The survey first involved a listing of every household in each village. Half of these listed households (i.e. every other household) were taken as samples and asked questions on education, literacy, employment, migration, functional difficulty, fertility, mortality, parents’ living status, birth registration and household and housing characteristics.

Mode of data collection

Face-to-face [f2f]

Research instrument

Three questionnaires were used to collect the survey data. - Listing sheet for village/enumeration area - Household questionnaire - Summary sheets for village/enumeration area

Cleaning operations

Central Statistics Organization (CSO) and UNFPA technical staff were responsible for editing the questionnaires, spot-checking, re-interviewing and recording observations during household interviews in all 16 nahias and 14 districts. This helped to ensure errors were corrected at an early stage of enumeration.

Data encoding and cleaning were also done in Karte-char where 178 encoders were hired and four CSO supervisors were detailed to oversee the whole data processing stage.

The dataset includes data from the survey on the Gdańsk University of Technology foreign graduates socio-demographic characteristics. The research was conducted over a four-month period, from December 2019 to March 2020, using the Computer-Assisted Web Interview (CAWI). The research sample included 142 respondents. The study concerned such variables such as i.a. nationality, gender, and the faculty graduated. Summarizing, the most of the graduates came from India, Eastern Europe (Ukraine and Belarus) and China.

Geographic coverage

National coverage

Analysis unit

households/individuals

Kind of data

survey

Frequency of data collection

Yearly

Sampling procedure

Sample size:

If someone wants to use the dataset, he/she can contact the corresponding author.

Mean annual cost of care by socioeconomic status*. Indirect cost = replacement with minimum wage

Pursuant to Local Laws 126, 127, and 128 of 2016, certain demographic data is collected voluntarily and anonymously by persons voluntarily seeking social services. This data can be used by agencies and the public to better understand the demographic makeup of client populations and to better understand and serve residents of all backgrounds and identities. The data presented here has been collected through either electronic form or paper surveys offered at the point of application for services. These surveys are anonymous. Each record represents an anonymized demographic profile of an individual applicant for social services, disaggregated by response option, agency, and program. Response options include information regarding ancestry, race, primary and secondary languages, English proficiency, gender identity, and sexual orientation. Idiosyncrasies or Limitations: Note that while the dataset contains the total number of individuals who have identified their ancestry or languages spoke, because such data is collected anonymously, there may be instances of a single individual completing multiple voluntary surveys. Additionally, the survey being both voluntary and anonymous has advantages as well as disadvantages: it increases the likelihood of full and honest answers, but since it is not connected to the individual case, it does not directly inform delivery of services to the applicant. The paper and online versions of the survey ask the same questions but free-form text is handled differently. Free-form text fields are expected to be entered in English although the form is available in several languages. Surveys are presented in 11 languages. Paper Surveys 1. Are optional 2. Survey taker is expected to specify agency that provides service 2. Survey taker can skip or elect not to answer questions 3. Invalid/unreadable data may be entered for survey date or date may be skipped 4. OCRing of free-form tet fields may fail. 5. Analytical value of free-form text answers is unclear Online Survey 1. Are optional 2. Agency is defaulted based on the URL 3. Some questions must be answered 4. Date of survey is automated

The Population Research Laboratory (PRL), a member of the Association of Academic Survey Research Organizations (AASRO), seeks to advance the research, education and service goals of the University of Alberta by helping academic researchers and policy makers design and implement applied social science research projects. The PRL specializes in the gathering, analysis, and presentation of data about demographic, social and public issues. The PRL research team provides expert consultation and implementation of quantitative and qualitative research methods, project design, sample design, web-based, paper-based and telephone surveys, field site testing, data analysis and report writing. The PRL follows scientifically rigorous and transparent methods in each phase of a research project. Research Coordinators are members of the American Association for Public Opinion Research (AAPOR) and use best practices when conducting all types of research. The PRL has particular expertise in conducting computer-assisted telephone interviews (referred to as CATI surveys). When conducting telephone surveys, all calls are displayed as being from the "U of A PRL", a procedure that assures recipients that the call is not from a telemarketer, and thus helps increase response rates. The PRL maintains a complement of highly skilled telephone interviewers and supervisors who are thoroughly trained in FOIPP requirements, respondent selection procedures, questionnaire instructions, and neutral probing. A subset of interviewers are specially trained to convince otherwise reluctant respondents to participate in the study, a practice that increases response rates and lowers selection bias. PRL staff monitors data collection on a daily basis to allow any necessary adjustments to the volume and timing of calls and respondent selection criteria. The Population Research Laboratory (PRL) administered the 2012 Alberta Survey B. This survey of households across the province of Alberta continues to enable academic researchers, government departments, and non-profit organizations to explore a wide range of topics in a structured research framework and environment. Sponsors' research questions are asked together with demographic questions in a telephone interview of Alberta households. This data consists of the information from 1207 Alberta residence, interviewed between June 5, 2012 and June 27, 2012. The amount of responses indicates that the response rate, as calculated percentages representing the number of people who participated in the survey divided by the number selected in the eligible sample, was 27.6% for survey B. The subject ares included in the 2012 Alberta Survey B includes socio-demographic and background variables such as: household composition, age, gender, marital status, highest level of education, household income, religion, ethnic background, place of birth, employment status, home ownership, political party support and perceptions of financial status. In addition, the topics of public health and injury control, tobacco reduction, activity limitations and personal directives, unions, politics and health.

Abstract

The primary objective of SASAS is to design, develop and implement a conceptually and methodologically robust study of changing social attitudes and values in South Africa to be able to carefully and consistently monitor and explain changes in attitudes amongst various socio-demographic groupings. The SASAS explores a wide range of value changes, including the distribution and shape of racial attitudes and aspirations, attitudes towards democratic and constitutional issues, and the redistribution of resources and power. Moreover, there is also an explicit interest in mapping changing attitudes towards some of the moral issues that confront and are fiercely debated in South Africa, such as gender issues, AIDS, crime and punishment, governance, and service delivery. The SASAS is intended to provide a unique long-term account of the social fabric of modern South Africa, and of how its changing political and institutional structures interact over time with changing social attitudes and values.

Geographic coverage

National coverage

Analysis unit

The units of analysis in the study are households and individuals

Universe

The population under investigation includes adults aged 16 and older in private households in South Africa.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampling Design The South African Social Attitudes Survey has been designed to yield a representative sample of adults aged 16 and older. The sampling frame for the survey is the Human Sciences Research Council’s (HSRC) Master Sample, which was designed in 2002 and consists of 1000 primary sampling units (PSUs). The 2001 population census enumerator areas (EAs) were used as PSUs. These PSUs were drawn, with probability proportional to size, from a precensus 2001 list of EAs provided by Statistics South Africa.

The Master Sample excludes special institutions (such as hospitals, military camps, old age homes, school and university hostels), recreational areas, industrial areas and vacant EAs. It therefore focuses on dwelling units or visiting points as secondary sampling units, which have been defined as ‘separate (non-vacant) residential stands, addresses, structures, flats, homesteads, etc.’.

As the basis of the 2003 SASAS round of interviewing, a sub-sample of 500 PSUs was drawn from the HSRC’s Master Sample. Three explicit stratification variables were used, namely province, geographic type and majority population group.

Within each stratum, the allocated number of PSUs was drawn using proportional to size probability sampling. In each of these drawn PSUs, two clusters of 11 dwelling units each were drawn. These 22 dwelling units in each drawn PSU were systematically grouped into three sub-samples of sizes seven, seven and eight respectively, to give the two SASAS samples and a client survey that was run in parallel.

Number of units: Questionnaire 1: 2497 cases realised from 3 500 addresses; questionnaire 2: 2483 cases realised from 3500 addresses; combined : 4980 cases

Mode of data collection

Face-to-face [f2f]

Research instrument

To accommodate the wide variety of topics that was included in the 2003 survey, two questionnaires were administered simultaneously. Apart from the standard set of demographic and background variables, each version of the questionnaire contained a harmonised core module that will remain constant from round to round, with the aim of monitoring change and continuity in a variety of socio-economic and socio-political variables. In addition, a number of themes will be accommodated on a rotational basis. This rotating element of the survey consists of two or more topic-specific modules in each round of interviewing and is directed at measuring a range of policy and academic concerns and issues that require more detailed examination at a specific point in time than the multi-topic core module would permit. In respect of the two SASAS questionnaires, the questions contained in the core module (demographics and core thematic issues) were asked of all 7 000 respondents, while the remaining rotating modules were asked of a half sample of approximately 3 500 respondents each. The two different versions of the questionnaire were administered concurrently in each of the chosen sampling areas. Fieldworkers were required to complete a paper-based instrument while interviews were conducted face-to-face.

ISSP Module: The International Social Survey Programme (ISSP) is run by a group of research organisations, each of which undertakes to field annually an agreed module of questions on a chosen topic area. SASAS 2003 represents the formalisation of South Africa's inclusion in the ISSP, the intention being to include the module in one of the SASAS questionnaires in each round of interviewing. Each module is chosen for repetition at intervals to allow comparisons both between countries (membership currently stands at 40) and over time. In 2003, the chosen subject was national identity, and the module was carried in version 2 of the questionnaire (Qs.152-203).

The standard questionnaires dealt with democracy, identity, public services, social values, crime, voting, demographics, families and family authority. The rotating modules in the 2003 survey covered: Questionnaire 1: Poverty, generational and gender attitudes and family/household violence Questionnaire 2: Communication, ISSP module (National Identity), democracy part 2.

The East Asian Social Survey (EASS) is a biennial social survey project that serves as a cross-national network of the following four General Social Survey type surveys in East Asia: Chinese General Social Survey (CGSS), Japanese General Social Survey (JGSS), Korean General Social Survey (KGSS), Taiwan Social Change Survey (TSCS), and comparatively examines diverse aspects of social life in these regions. Survey information in this module focuses on family dynamics and includes demographic variables such as the number of family members, the number of younger and older siblings, the number of sons and daughters, and whether family members are alive or deceased. Respondents were also queried about specific information pertaining to family members and children not co-residing with them, such as, sex and birth order, age, marital status, residence status, contact frequency, employment status, and relation to the respondent. Other information collected includes attitudes toward financial support from family members and how frequently financial and personal support was provided. Questions also include opinions regarding household chores, lifestyle preferences, health of respondent and parents, as well as family obligations. Quality of life questions addressed how satisfied respondents were as well as overall marital happiness. Demographic information specific to the respondent and their spouse includes age, sex, marital status, education, employment status and hours worked, occupation, earnings and income, religion, class, size of community, and region.

Abstract

The Demographic Sample Survey 1986/87, shortly called as DSS 1986/87 is carried out by the Central Bureau of Statistics (CBS) with financial support from UNFPA and technical assistance from UNDTCD.

The major objectives of the DSS are to provide intercensal estimates of some important demographic parameters such as birth, death, migration, etc. The DSS 1986/87 not only provides these parameters but also examines the factors affecting fertility, mortality and migration in more details.

Geographic coverage

National Urban/ Rural areas Ecological Zones: Mountain, Hill, Terai

Analysis unit

Individual, Household

Universe

All private households

Kind of data

Sample survey data [ssd]

Sampling procedure

The DSS 1986/87 is a longitudinal study based on multi-stage national probability sample of 129 identifiable compact clusters known as ward/subwards. Ward/subwards (81 rural and 48 urban) were drawn from 35 districts (14 from Terai Zone and 18 and 3 from the Hill and Mountain zones respectively), out of a total of 75 districts in the country. The emphasis that the ultimate sampling units of DSS 1986/87 should be easily identifiable compact clusters is to ensure that the survey could be smoothly carried out in several successive rounds. The DSS 1986/87 drew samples from rural and urban areas separately in order to provide estimates of demographic and non-demographic parameters independently for each of the area.

Altogether 8640 households were eventually selected in the DSS 1986/87 for baseline and prospective study. The rural sample consisits of 6126 households while the urban sample accounts for 2514 households. The households selected in the Mountain, Hill and Terai are 675, 4179 and 3786 respectively. The urban households in the Hill and Terai are 1200 and 1314 respectively. In the Mountain there is no urban area. The sample consists of 35101 rural and 14412 urban population.

Refer to page 2 of "DSS Report" for a detailed description of the Sample Design.

Mode of data collection

Face-to-face [f2f]

Research instrument

The data at baseline survey were collected by using six different schedules:

1. Household schedule The household schedule was employed to collect information on some conventional socio-demographic measures of each usual/permanent member of the selected households.

2. In-migration schedule The In-migration schedule was used to collect detailed information on internal migrants and for immigrants.

3. Fertility and Mortality schedule The Fertility and Mortality schedule was used to collect the information on fertility anf mortality history of ever married worman in the household.

4. Out-migration schedule The Out-migration schedule was used to obtain detailed information on each out-migrant from the household which took place in the last five years preceding the survey.

5. Socio-economic status of the household schedule The Socio-economic status of the household schedule was used to obtain socio-economic characteristics of the households.

6. Migration survey-individual questionnaire The Migration survey-individual questionnaire was administered to internal migrants.

Refer to page 5 of "DSS Report" for detailed information on the types and contents of the questionnaires.

The public use microdata file (PUMF) from the Canadian Internet Use Survey (CIUS) provides data on the adoption and use of digital technologies and the online behaviors of individuals 15 years of age and older living in the ten provinces of Canada. The survey is built off the previous iteration of the CIUS, last conducted in 2012. While there is some comparability with the 2012 CIUS, the 2018 survey was redesigned in 2018 to reflect the rapid pace at which Internet technology has evolved since the previous survey iteration. The files include information on how individuals use the Internet, smartphones, and social networking websites and apps, including their intensity of use, demand for certain online activities, and interactions through these technologies. It also provides information on the use of online government services, digital skills, online work, and security, privacy and trust as it relates to the Internet.

Socio-demographic characteristics and health factors of study participants in Macao (n = 306).

Abstract

The Cambodia Demographic and Health Survey in 2010 (CDHS 2010) is the third nationally representative survey conducted in Cambodia on population and health issues. It uses the same methodology as its predecessors, the 2000 and the 2005 Cambodia Demographic and Health Surveys, allowing policymakers to use these surveys to assess trends over time. The primary objective of the CDHS is to provide the Ministry of Health (MOH), Ministry of Planning (MOP), and other relevant institutions and users with updated and reliable data on infant and child mortality, fertility preferences, family planning behavior, maternal mortality, utilization of maternal and child health services, health expenditures, women’s status, and knowledge and behavior regarding HIV/AIDS and other sexually transmitted infections. This information contributes to policy decisions, planning, monitoring, and program evaluation for the development of Cambodia at both the national and local government levels.

Geographic coverage

The sample was designed to provide estimates of the indicators at the national level, for urban and rural areas, and for 19 domains: 1.Banteay Mean Chey, 2.Kampong Cham, 3.Kampong Chhnang, 4.Kampong Speu, 5.Kampong Thom, 6.Kandal, 7.Phnom Penh, 8.Prey Veng, 9.Pursat, 10.Svay Rieng, 11.Takeo, 12.Kratie, 13.Siem Reap, 14.Otdar Mean Chey, 15. Battambang and Krong Pailin, 16. Kampot and Krong Kep, 17.Krong Preah Sihanouk and Kaoh Kong, 18.Preah Vihear and Steng Treng; and 19.Mondol Kiri and Rattanak Kiri.

Analysis unit

Household, individual (including women and men between the ages of 15 and 49), and children aged 5 and below.

Universe

The survey covered the whole resident population (regular household) , with the exception of homeless in Cambodia

Kind of data

Sample survey data [ssd]

Sampling procedure

The survey was based on a stratified sample selected in two stages. Stratification was achieved by separating every reporting domain into urban and rural areas. Thus, the 19 domains. Samples were selected independently in every stratum through a two-stage selection process. Implicit stratifications were achieved at each of the lower geographical or administrative levels by sorting the sampling frame according to geographical/administrative order and by using a probability proportional to size selection strategy at the first stage of selection. (Please refer to technical doccuments for details).

Mode of data collection

Face-to-face [f2f]

Research instrument

There are three types of questionnaires used in the CDHS: the Household Questionnaire, the Individual Woman's Questionnaire, and the Individual Man's Questionnaire.

The households that have been scientifically selected to be included in the CDHS sample were visited and interviewed using a Household Questionnaire. The Household Questionnaire consisted of a cover sheet to identify the household and a form on which all members of the household and visitors were listed. Data collected about each household member were name, sex, age, education, and survival of parents for children under age 18 years, etc. The Household Questionnaire was used to collect information on housing characteristics such as type of water, sanitation facilities, quality of flooring, and ownership of durable goods.

The Household Questionnaire permitted the interviewer to identify women and men who were eligible for the Individual Questionnaire. Women ages 15-49 years in every selected household who are members of the household (those that usually live in the household) and visitors (those who do not usually live in the household but who slept there the previous night) were eligible to be interviewed with the individual Woman's Questionnaire.

After all of the eligible women in a household have been identified, female interviewers used the Woman's Questionnaire to interview the women. The Woman's Questionnaire collected information on the following topics:

 · socio-demographic characteristics

 · reproduction

 · birth spacing

 · maternal health care and breastfeeding

 · immunization and health of children

 · cause of death of children

 · marriage and sexual activity

 · fertility preferences

 · characteristics of the husband and employment activity of the woman

 · HIV

 · maternal mortality

 · women's status

 · household relations

In one-half of the households, men were identified as eligible for individual interview, and the male interviewer of each team used the Man's Questionnaire to interview the eligible men. Team leaders informed their teams which households in the sample have been selected for including interviews with men. The Man's Questionnaire collected information on the following topics:

 · socio-demographic characteristics

 · reproduction

 · birth spacing

 · marriage and sexual activity

 · HIV

Biomarker data collection were conducted in the same one-half of the households which were selected to include men for interview. The biomarker data collection included: measuring the height and weight of women and children (under age 6 years), anemia testing of women and children, and drawing blood samples from women and men for laboratory testing of HIV. Biomarker data collection were recorded in the Household Questionnaire.

Cleaning operations

Data editing was done in the following data processing stages:

a. Office editing and coding - minimal since CSPro has been designed to be an intelligent data entry program

b. Data entry

c. Completeness of data file

d. Verification of Data - prior to this stage, data are again entered and tagged as V to indicate that the dataset is a verification data

e. Secondary editing

Response rate

Response rate:

Households: 99 per cent

Women ages 15-49: 98 per cent

Men ages 15-49: 95 per cent

See Table 1. Results of the household and individual interviews in the CDHS 2010 Preliminary Report (Refer to technical documents)

Sampling error estimates

The computer software used to calculate sampling errors for the 2010 CDHS is a Macro SAS procedure. This procedure used the Taylor linearization method for variance estimation for survey estimates that are means or proportions. The Jackknife repeated replication method is used for variance estimation of more complex statistics such as fertility and mortality rates. ISSA also computes ISSA computes the design effect (DEFT) for each estimate.

Sampling errors for the 2010 CDHS are calculated for selected variables considered to be of primary interest for woman’s survey and for man’s surveys, respectively for the country as a whole, for urban and rural areas, and for each of the 19 study domains.

The Social Survey is a series of surveys on the economic and social situation of students in Germany that has been in existence since 1951. Every three to four years, a cross-section of students is surveyed on aspects of access to higher education, structural features of study, social and economic situation, including income and cost of living, employment, housing situation, as well as socio-demographic characteristics, partnership status and parenthood. The data package includes data from the 13th Social Survey (1991), which included students in the new Länder for the first time. An additional questionnaire included questions on the situation of students with children.

Translated with www.DeepL.com/Translator (free version)

The study examines the representations of sex and sexuality among adults over 18 years of age. The survey included a socio-demographic questionnaire, a test on knowledge of male and female anatomy and physiology, the basics of STDs, methods of contraception and other questions on the topic of sex and sexuality. We publish the dataset itself and corresponding files: (1) Sexual Literacy Study - Dataset_27.09.2021.csv (the dataset, available by request, please fill the request form to gain access); (2) Sexual Literacy Study - Variables.xlsx (questionnaire and variables codification); (3) Sexual Literacy Study - Dataset_27.09.2021_Description.txt (information about the dataset size, collection dates etc.); (4) Sexual Literacy Study - Data Use Agreement.pdf (terms of use); (5) Sexual Literacy Study - Data Use Agreement_RU.pdf (terms of use in Russian); (6) Sexual Literacy Study - Informed Consent Form.pdf (informed consent); (7) Sexual Literacy Study - Informed Consent Form_RU.pdf (informed consent in Russian); (8) Sexual Literacy Study - Data Management Plan.pdf (the plan of data collection).

The dataset is a part of the survey conducted in Ho Chi Minh City and Dong Nai the Southeast region of Vietnam in 2020 to collect information for research on fertility. The main research purpose is to identify the socioeconomic determinants of low fertility in the Southeast. In total 808 individuals in the main reproductive age were interviewed, including 382 cases from Dong Nai and 426 cases from Ho Chi Minh City, or 273 unmarried persons and 535 married women. Information about family size desires and socio-demographic characteristics of 535 married men were asked when interviewing their spouses. As such, the survey collected information on the family size desires of 1343 individuals. The dataset has been converted to SPSS format (version 26.0). For data analysis, the dataset need to be weighted (WEI variable) as individuals were not selected with equal probability.

Please note: This is a Synthetic data file, also known as a Dummy file - it is not real data. This synthetic file should not be used for purposes other than to develop an test computer programs that are to be submitted by remote access. Each record in the synthetic file matches the format and content parameters of the real Statistics Canada Master File with which it is associated, but the data themselves have been 'made up'. They do NOT represent responses from real individuals and should NOT be used for actual analysis. These data are provided solely for the purpose of testing statistical package 'code' (e.g. SPSS syntax, SAS programs, etc.) in preperation for analysis using the associated Master File in a Research Data Centre, by Remote Job Submission, or by some other means of secure access. If statistical analysis 'code' works with the synthetic data, researchers can have some confidence that the same code will run successfully against the Master File data in the Resource Data Centres. In the fall of 1991, the National Health Information Council recommended that an ongoing national survey of population health be conducted. This recommendation was based on consideration of the economic and fiscal pressures on the health care systems and the requirement for information with which to improve the health status of the population in Canada. Commencing in April 1992, Statistics Canada received funding for development of a National Population Health Survey (NPHS). The NPHS collects information related to the health of the Canadian population and related socio-demographic information to: aid in the development of public policy by providing measures of the level, trend and distribution of the health status of the population, provide data for analytic studies that will assist in understanding the determinants of health, and collect data on the economic, social, demographic, occupational and environmental correlates of health. In addition the NPHS seeks to increase the understanding of the relationship between health status and health care utilization, including alternative as well as traditional services, and also to allow the possibility of linking survey data to routinely collected administrative data such as vital statistics, environmental measures, community variables, and health services utilization. The NPHS collects information related to the health of the Canadian population and related socio-demographic information. It is composed of three components: the Households, the Health Institutions, and the North components. The Household component started in 1994/1995 and is conducted every two years. The first three cycles (1994/1995, 1996/1997, 1997/1998) were both cross-sectional and longitudinal. The NPHS longitudinal sample includes 17,276 persons from all ages in 1994/1995 and these same persons are to be interviewed every two years. Beginning in Cycle 4 (2000/2001) the survey became strictly longitudinal (collecting health information from the same individuals each cycle). The cross-sectional and longitudinal documentation of the Household component is presented separately as well as the documentation for the Health Institutions and North components. The cross-sectional component of the Population Health Survey Program has been taken over by the Canadian Community Health Survey (CCHS). With the introduction of the Canadian Community Health Survey (CCHS), there were many changes to the 2000-2001 National Population Health Survey - Household questionnaire. Since NPHS is strictly a longitudinal survey, some content was migrated to the CCHS (such as the two-week disability section and certain questions on place where health care was provided) or was dropped (e.g. certain chronic conditions), while the order of the questionnaire changed. As only the longitudinal respondent is now surveyed, it was no longer necessary to distinguish between the General questionnaire and the Health component. Health Canada, Public Health Agency of Canada and provincial ministries of health use NPHS longitudinal data to plan, implement and evaluate programs and health policies to improve health and the efficiency of health services. Non-profit health organizations and researchers in the academic fields use the information to move research ahead and to improve health.

The population survey was conducted from 1999 to 2015 using phone CATI interviews (LINK Institute, Zurich). From 2019, it was realised in cooperation with Statistik Stadt Zürich and Urban Development in Mixed Mode Online/Paper.

A representative sample was interviewed. The population includes all persons of age who have resided in the city of Zurich for at least one year (at the time of sampling) and registered with Swiss citizenship, establishment permit or residence permit B. Also, weekly stays are included.

From 1999 to 2015, German, Italian, Spanish, Serbian-Croatian-Bosnian, Portuguese and English were offered as an interview language. In the surveys from 2019 onwards, French was also offered.

Important note: For data protection reasons, the data set published here does not include all variables of the original questionnaire. Furthermore, the dataset was enriched with two socio-demographic variables from the population register of the City of Zurich: the city districts (‘A1BVSKreis01’) and the official sex (‘A1BVSSex01’) of the interviewed persons. Since the sample has been enlarged from 2019, further socio-demographic variables can be included without affecting data protection. There is therefore a additional dataset for the years 2019 to 2023. This dataset contains the following sociodemographic variables: the urban quarters (‘A1BVSQuar03’), the age (‘A1BVSAlterV03’) in three age categories and the official sex (‘A1BVSSex01’) of the respondents.