The American Time Use Survey (ATUS) is the Nation's first federally administered, continuous survey on time use in the United States. The survey is sponsored by the Bureau of Labor Statistics and is conducted by the U.S. Census Bureau. This multi-year data collection contains information on the amount of time that people spent doing various activities in the years 2003 through 2015, such as work and work-related activities, personal care, household activities, consumer purchases, volunteering, and caring for and helping household members. Respondents were also asked about arts-related activities including sports, recreation, socializing, relaxing, arts and crafts, and music appreciation. Additionally, the study provides demographic information--including sex, race, age, educational attainment, occupation, income, marital status, and the presence of children in the household. For this data collection, 170,842 respondents were randomly selected from a subset of households that have completed their eighth and final month of interviews for the Current Population Survey (CPS). Respondents were interviewed only one time about how they spent their time on the previous day, where they were, and whom they were with.

Abstract

Time Use Surveys (TUS) are household-based surveys that measure and analyze time spent by women and men, girls and boys on different activities over a specified period. Unlike data from other surveys, time use results can be specific and comprehensive in revealing the details of a person's daily life. The results of the Time Use Survey enable one to identify what activities are performed, how they are performed and how long it takes to perform such activities. The Department of Census and Statistics (DCS) conducted the first Sri Lanka national survey on time use statistics in 2017. The primary objective of TUS is to measure the participation of men and women in paid and unpaid activities. Moreover, this report contains information on the time spent on unpaid care giving activities, voluntary work, and domestic service of the household members. This also provides information on time spent on learning, socializing, leisure activities and self-care activities of 10 years and above aged Sri Lankans. In this report, statistics were estimated under following three indicators. 1. Participation rate 2. The mean actor time spent on different activities 3. The mean population time spent on different activities

The TUS was conducted in the same households of the fourth quarter Labour Force Survey (LFS) sample in 2017. It was non-independent survey but administered an independent diary and a household module with fourth quarter LFS, 2017. All household members who were age 10 years and above in the sample were provided a diary to record activities done in every 15 minutes within a period of 24 hours (day). The TUS sample covered the household population aged 10 years and above - thus representing an estimated 17.87 million people. Classification of activities Reported activities were coded according to the International Classification of Activities for Time Use Statistics (ICATUS 2016). The ICATUS 2016 has nine broad categories, which aggregate into even broader categories. The categories are consistent with the System of National Accounts (SNA) which underlies the calculation of gross domestic product (GDP). The categories are as follows: 1. Employment and related activities 2. Production of goods for own final use 3. Unpaid domestic services for household and family members 4. Unpaid caregiving services for household and family members 5. Unpaid volunteer, trainee and other unpaid work 6. Learning 7.Socializing and communication, community participation and religious practice 8. Culture, leisure, mass-media and sports practices 9. Self-care and maintenance Activity category number 1 and 2 falls in to SNA production boundary. Therefore, most part be 'counted' in national accounts and the GDP. Activity categories 3 to 5, which cover unpaid household work and unpaid assistance to other households, fall outside the SNA production boundary, although they are recognized as 'productive'. They correspond to what is commonly referred to as unpaid care work. The remaining four activity categories cannot be performed for a person by someone else; people cannot hire someone else to sleep, learn, or eat for them. Hence, they do not qualify as' work 'or' production' in terms of the third-person 'rule'.

Geographic coverage

The survey collects data from a quarterly sample of 6,440 housing units covering the whole country, also this sample enough to provides national estimates on Time use statistics. It covers persons living in housing units and excludes the institutional population.

Analysis unit

Individual,Household

Universe

All household members who were age 10 years and above

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling frame prepared for 2012 Census of Population and Housing (CPH) is used as sample frame for the sample selection of LFS in 2017. Two stage stratified sampling procedure is adopted to Sri Lanka Time Use Survey Final Report - 2017 1.5 Field Work Select the annual LFS sample of 25,750 housing units. 2,575 Primary Sampling Units (PSU?s) were allocated to each district and to each sector (Urban, Rural and Estate) and equally distributed for 12 months. Housing units are the Secondary Sample Units (SSU). From each selected PSU, 10 housing units (SSU) are selected for the survey using systematic random sampling method. Since, the Time Use survey was planned to disseminate statistics at national level, a quarterly sample of 6,440 housing units of the LFS 4th quarter 2017 sample was selected for the TUS. Also, selected housing units of a PSU were evenly allocated to cover all 7 days of a week including weekends. Sample allocation by sector for TUS - 2017

Number of housing units 

Sri Lanka 6,440
Urban 1,000
Rural 5,140
Estate 300

Mode of data collection

Face-to-face [f2f]

Research instrument

The Survey was conducted in the same households of the fourth quarter Labour Force Survey (LFS) sample in 2017. It was non-independent survey but consists with other two data collection instruments in PAPI method: a) A household questionnaire b) A time diary with fourth quarter LFS 2017 questionnaire in CAPI method. The household questionnaire was designed only for obtain information on the characteristics of the household. Because the LFS questionnaire collects background information about the demographic and socio-economic characteristics of the respondent, such as their labour force status. All household members who were age 10 years and above in the sample were provided a diary to record activities done in every 15 minutes within a period of 24 hours (day). It captures information on spending the time for main activity, simultaneous activity, where the activity takes place and with whom the activity takes place.

Cleaning operations

The International Classification of Activities for Time Use Statistics (ICATUS 2016) has been developed based on internationally agreed concepts, definitions and principles in order to improve the consistency and international comparability of time use and other social and economic statistics. Reliable time use statistics have been critical for

(a) the measurement and analysis of quality of life or general well-being; (b) a more comprehensive measurement of all forms of work, including unpaid work and non-market production and the development of household production accounts; and (c) producing data for gender analysis for public policies. Hence, the importance of ICATUS link and consistency with the System of National Accounts (SNA) and the International Conference of Labour Statisticians (ICLS) definition and framework for statistics of work. Additionally, ICATUS will serve as an important input for monitoring progress made towards the achievement of the Sustainable Development Goals (SDGs). ICATUS 2016 is a three-level hierarchical classification (composed of major divisions, divisions, and groups) of all possible activities undertaken by the general population during the 24 hours in a day. 1) The first level, one-digit code or "major division" represents the least detailed level or the broadest group of activities. 2) The second level, two-digit code or "division" represents more detailed activities than the preceding one 3) The third level, three-digit code or "group" is considered the most detailed level of the classification detailing specific activities. The purpose of the classification is to provide a framework that can be used to produce meaningful and comparable statistics on time use across countries and over time.

An important aspect of the UN classification system is the fact that it matches the System of National Accounts (SNA), which forms the basis internationally for calculating gross domestic product (GDP). The classification is organized according to nine broad activity categories. These categories can be distinguished by the first digit of the three-digit activity code The nine broad categories are as follows: SNA Production Activities 1. Employment and related activities 2. Production of goods for own final use

Non -SNA Production Activities 3. Unpaid domestic services for household and family members 4. Unpaid caregiving services for household and family members 5. Unpaid volunteer, trainee and other unpaid work

Non-Productive Activities 6. Learning 7. Socializing and communication, community participation and religious practice 8. Culture, leisure, mass-media and sports practices 9. Self-care and maintenance

Activity categories 1-2, which are the two 'work' divisions referred to above, fall in the SNA production boundary. They would thus be 'counted' in national accounts and the GDP. The only exceptions are the codes for looking for work, and time spent on travelling related to SNA-type activity. Activity categories 3-5, which cover unpaid household work and care work for household and family members and assistance to other households, fall outside the SNA general production boundary, although they are recognized as 'productive'. In this report they are referred to as non-SNA production Activities. The remaining activity categories are not covered by the SNA. These activities cannot be performed for a person by someone else - people cannot hire someone else to sleep, learn, or eat for them. They thus do not qualify as'work 'or 'production' terms of the „third-person rule. In this report they are referred to as non-productive activities. Many of the tables in the report are organized according to either the nine categories, or the three SNA-related groupings of these categories.

Response rate

Please refer page number 11 and 12 of annual

Abstract

Time use surveys are crucial instruments in social science research that provide valuable insights into how individuals allocate their time across various activities. These surveys systematically capture and quantify the amount of time people spend on diverse pursuits, such as work, leisure, household chores, and personal care. The data collected through time use surveys offer researchers a comprehensive understanding of societal trends, patterns, and dynamics, shedding light on evolving social structures, economic activities, and cultural practices. By examining how individuals distribute their time, researchers can discern patterns related to gender roles, socioeconomic disparities, and lifestyle changes. Time use surveys also play a pivotal role in informing public policy and program development, guiding decisions on issues ranging from labor market regulations to family support systems. Furthermore, these surveys contribute to the advancement of our understanding of human behavior and well-being, offering a nuanced perspective on the complexities of modern life and its impact on individuals and societies. As such, time use surveys are indispensable tools for scholars, policymakers, and social scientists alike, fostering a deeper comprehension of the intricate interplay between time allocation and various socio-economic factors.

Geographic coverage

Governorate (16 governorates in west bank and Gaza strip) Locality type (urban, rural, camps)

Analysis unit

1- Household/family. 2- Individual/person.

Universe

The survey covered all Palestinian households who are a usual residence of the Palestinian Territory.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling frame of the survey consists of a list of enumeration areas from the population and buildings and establishments census which was implemented by PCBS in 2007 (the enumeration area is a geographical area contains number of households of about 124 households in average).The enumeration areas will be used as primary sampling units in sampling design (PSUs). Sample Size The sample size of the survey is 5,903 Palestinian households. Sampling Design After determining the sample size, the sample type is three-stage stratified cluster sample as following: 1- First stage: selecting systematic sample of 220 clusters (enumeration areas). 2- Second stage: selection sample of 21 responded households from each EA selected in the first stage (we use the area sampling to get this number of responded households). 3- Third stage: selection two individuals male and female (10 years and more) from each household selected in second stage using random kish tables. The population was divided to strata by: 1- Governorate (16 governorates in west bank and Gaza strip) 2- Locality type (urban, rural, camps) Target population of the survey consists of all Palestinian individuals of age group 10 years and over, who are living normally with their households in Palestine in 2012/2013 .

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey questionnaire is the main tool for data collection and was designed on the basis of international surveys specially designed for time use surveys, as well as on the basis of the recommendations of the workshop on time use surveys held in Jordan in 2010. This was organized by ESCWA in cooperation with UNSD to develop a questionnaire for a time use survey and coding manual, along with adding activities related to the Palestinian context compatible with the coding manual of the United Nations of 2006. The questionnaire meets the technical specifications for the field work phase and data processing and analysis requirements. The questionnaire included several sections: 1. Household Members Background Details:
These include household members, relationship to the head of household, gender, date of birth and age, in addition to other demographic and economic data for the household as a whole. 2. Household Questionnaire:
This includes questions related to the household in terms of type of housing unit, material used as flooring in the housing unit, primary fuel type used in cooking, goods and services available, monthly household income, and other indicators. 3. Daily Record Questionnaire: This part of the questionnaire comprised two time records: in the first record, one male member of the household aged 10 years and above is selected at random and in the second record, one female household member aged 10 years and above is selected at random. The day was divided into periods of time of up to 30 minutes each from midnight until six am and [00] 10 minutes for each period during the day from six am until twelve o'clock at night. The record also contains information that shows whether the activity was performed for a fee or financial return or not. Any secondary activity is also recorded. This information identifies the respondent performing these activities, with whom and the means of transportation or venue where the individual performed the various activities throughout the day (during a 24-hour period).

Response rate

The sample size of the survey was 5,903 households and 4,605 households were completed. Weights were adjusted to compensate for the non-response cases. The response rate in the survey in Palestine was 79.6% for households, and 98.1% for the individuals , where 8,560 completed the questionnaire out of 8,779 individuals.

The American Time Use Survey (ATUS) collects information on how people living in the United States spend their time. Data collected in this study measured the amount of time that people spent doing various activities in 2006, such as paid work, child care, religious activities, volunteering, and socializing. Respondents were interviewed only once about how they spent their time on the previous day, where they were, and whom they were with. An Eating and Health (EH) module was introduced in January 2006, which included questions related to eating, meal preparation, and health, all of which were asked after completion of the ATUS questions. Part 1, Respondent and Activity Summary File, contains demographic information about respondents and a summary of the total number of minutes they spent doing each activity that day. Part 2, Roster File, contains information about household members and nonhousehold children under the age of 18. Part 3, Activity File, includes additional information on activities in which respondents participated, including the location of each activity and the total time spent on secondary child care. Part 4, Who File, includes data on who was present during each activity. Part 5, ATUS-CPS 2006 File, contains data on respondents and members of their household collected during their participation in the Current Population Survey (CPS). Parts 6 and 7 correspond to the 2006 Eating and Health (EH) Module. Parts 8-12 contain supplemental data files that can be used for further analysis of the data. Part 8, Case History File, contains information about the interview process. Part 9, Call History File, gives information about each call attempt. Part 10, Trips File, provides information about the number, duration, and purpose of overnight trips away from home for two or more nights in a row in a given reference month. Parts 11 and 12 contain base weights, replicate base weights, and replicate final weights for each case that was selected to be interviewed for the ATUS. Demographic variables include sex, age, race, ethnicity, education level, income, employment status, occupation, citizenship status, country of origin, and household composition.

The American Time Use Survey (ATUS) measures the amount of time people spend doing various activities, such as paid work, childcare, volunteering, and socializing.

The American Time Use Survey (ATUS) provides nationally representative estimates of how, where, and with whom Americans spend their time, and is the only federal survey providing data on the full range of nonmarket activities, from childcare to volunteering. For more information visit https://www.bls.gov/tus/

Abstract

The Beijing Platform for Action which emerged from the 1995 Fourth United Nations World Conference on Women called for the development of 'suitable statistical means to recognise and make visible the full extent of the work of women and all their contributions to the national economy, including their contribution in the unremunerated and domestic sectors'. During 2000, Statistics South Africa (Stats SA) conducted the fieldwork for the first national time use study in the country. The aim of the survey was to provide information on the way in which different individuals in South Africa spend their time. Such information contributes to greater understanding of policymakers on the economic and social well-being of different societal groups. In particular, the study was intended to provide new information on the division of both paid and unpaid labour between women and men, and greater insight into less well understood productive activities such as subsistence work,casual work and work in the informal sector.

The survey thus had dual objectives: (1) improvement of concepts, methodology and measurement of all types of work and work-related activity, and (2) the feeding of information into better policy-making, with a particular focus on gender equity.

Geographic coverage

The survey had national coverage

Analysis unit

Units of analysis for the survey include households and individuals

Universe

The survey covered household members in South Africa, ten years old and above

Kind of data

Sample survey data [ssd]

Sampling procedure

The time use study sample frame was based on the frame prepared for the 1999 Survey of activities of young people (SAYP). This sample frame was based on the 1996 population census enumerator areas (EAs) and the number of households counted in the 1996 population census. The sampled population excluded all prisoners in prison, patients in hospital, people residing in boarding houses and hotels (whether temporary or semi-permanent), and boarding schools. The 16 EA types from the 1996 Population Census were condensed into four area types, or strata. The four strata were formal urban, informal urban, non-commercial farming rural, and commercial farming areas. Institution type EAs were excluded from the sample.

The EAs were explicitly stratified by province, and within a province by the four strata. The sample size (10 800 dwelling units, with 3 600 units in each of the three tranches) was disproportionately allocated to the explicit strata using the square root method. Within the strata, the EAs were ordered by magisterial district and the EA-types included in the area type (implicit stratification). Primary sampling units (PSUs) consisted of an EA of at least 100 dwelling units. Where an EA contained less than 100 dwelling units, EAs were pooled (using Kish's method of pooling) to meet this requirement. Most EAs had fewer than 100 dwelling units. The dwelling unit was taken as the ultimate sampling unit (USU).

Firstly, a two stage sampling procedure was applied. The allocated number of PSUs was systematically selected with probability proportional to size in each explicit stratum (with the measure of size being the number of dwelling units in a PSU). In each PSU, a systematic sample of 12 households was drawn.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire for the time use survey was comprised of three sections. Section one covered details of the household. Section two covered demographic details of the first person selected as a respondent in that household. Section three consisted of a Background and methodology diary in which to record the activities performed by the first person selected during the 24 hours between 4 am on the day preceding the interview and 4 am on the day of the interview. Sections four and five were for the second selected person in the household but were otherwise identical to sections two and three respectively.

The household and demographic sections of the questionnaire contained many of the standard questions of Stats SA household surveys. This was done so as to facilitate comparison across surveys. These sections also contained some additional questions on issues that would be likely to affect time use. For the household section, for example, there were questions on access to household aids such as washing machines and vacuum cleaners. In the demographic section there were questions about the presence of the respondent's young children in the household.

The diary, which forms the core instrument of a time use study, was divided into half-hour slots. Respondents were asked an open-ended question as to the activities performed during a given half-hour. These activities were then post-coded by the fieldworker according to the activity classification system (see below). The respondent could report up to three activities for each time slot. Where there was more than one activity reported for a half hour, the respondent was asked whether these activities were conducted simultaneously, or one after the other. For each recorded activity, the questionnaire also included two location codes. The first code provides for eight broadly defined locations plus the mobile activity of travel. Where the location of a particular activity could be classified as more than one of the given options, the option highest on the list took precedence. For example, a domestic worker was classified as working in someone else's dwelling rather than in a workplace. The second code distinguished between interior (inside) and exterior (outside) for the eight broadly-defined locations, and distinguished the mode of travel for all travel activity.

Cleaning operations

The data from the diary were captured in Sybase at Stats SA head office through a custom-designed data capture programme. The programme contained some in-built checks. Further checks were done manually prior to and after capture. The data were subsequently downloaded into SAS format, and the SAS programme was used for analysis.

Abstract

The key importance of the Time Use Survey is to determine the time spent on household members for unpaid labor and to define the overall picture of the population time use and to calculate value added has become in household level and data processing needed to System of National Account and to provide data needed to policy making.

The main goal of the survey is to determine the activity on the working population and to create the time spent on labor paid and unpaid by sex and updating the necessary data to determine population lifestyles. In addition, the goal includes classifying and identifying the activities by years and months, that engaged by population.

Survey objectives are: 1. Determine time spent in unpaid and paid work by gender and 5 years age groups. 2. Determine Mongolian population life pattern, and its change. 3. To increase the scope of value-added calculation of informal sector 4. Obtain data essential to monitoring progress in connection with completion the National Program of Gender equality in 2015.

Geographic coverage

National coverage

Analysis unit

Household and household members.

Universe

The survey covered all households in the sample excluding Mongolian citizens residing outside the country or in military camps, orphanages, care centers, hospitals, prisons and other correctional institutions for more than six months.

Kind of data

Sample survey data [ssd]

Sampling procedure

The TUS is a household-based survey. Therefore, households are defined as sampling unit. The total sample size determined as 4,000 households or 0.5 percent of total households, representing the entire households in Mongolia. Since the survey covered 4 quarters, sample size was divided into four equal parts for four quarters.

All 8 provinces and 8 districts from Ulaanbaatar representing the five regions of Western, Khangai, Central, Eastern and Ulaanbaatar, that was surveyed.

Sampling method The sampling design used a two-stage sampling method.

Stage 1: The proportionate number of households for each of the 5 regions of Mongolia was determined using probability sampling method. Following this method, it was established that there should be 640 HHs from the Western region, 800 HHs from Khangai region, 800 HHs from Central region, 560 HHs from Eastern region, and 1200 HHs from Ulaanbaatar. The lowest administrative units, kheseg of khoroo for Ulaanbaatar, bagh of soum for aimags (provinces), were defined as primary sampling units (PSUs). In total, 200 PSUs were selected with probability proportional to size.

Stage 2: After household listing of the selected PSUs was carried out by the statistical departments or divisions, 20 households were selected using systematic sampling from each PSU.

Sample household Primary data collection unit of the survey is the household because the TUS is a household-based survey. 13626 people from 3990 households' selected 14173 people from 4000 households were participated in the study.

Mode of data collection

Face-to-face [f2f]

Research instrument

In line with the survey objectives and coverage, the questionnaires and manual were developed based on recommendations and methodology of EUROSTAT and UN Statistics Division and other countries' experiences. Pilot survey was conducted covered 50 households in order to pretest clearness of questionnaire, coherence between questions and define average time spent for interviewing one household.

Two questionnaires were used to collect the survey data: 1. TUS-1 refers to the Household and Individual questionnaire which contains questions on household listing, type of dwelling, water and sanitation, main source of electricity and heating, assets for households; education information, marital status, health status and employment status for people age 12 years and over. 2. TUS-2 refers to the Diary. This contains questions on daily activities and time spent for those activities.

Cleaning operations

Computer assisted personal interview (CAPI) and paper assisted personal interview (PAPI) were used to collect the data. Diary of paper forms was checked and edited into computer. Data gathered from the field were coded and activities were classified according to the "International Classification of Activities for Time Use Statistics" developed by UNSD.

The American Time Use Survey (ATUS) accurately measures hours worked on a single day. We propose several estimators of elasticities of weekly labor supply in a linear regression model, despite certain impossibility results due to the time specific feature of the ATUS. We recommend the impute estimator, a simple modification of the standard two stage least squares estimator, that imputes the dependent variable using daily subsamples, based on our careful investigation of asymptotic and finite sample properties of the estimators under the potential outcome framework. We apply the impute estimator to the ATUS and find substantially different elasticity estimates from the Current Population Survey, especially for married women.

The ATUS-CPS dataset contains information about each household member of all individuals selected to participate in ATUS. The information on the ATUS-CPS dataset was collected 2 to 5 months before the ATUS interview.

For the data dictionary and survey methodology, visit: http://www.bls.gov/tus/atusintcodebk14.pdf

Geographic coverage

National coverage, representative at the national, rural/urban/Yerevan-levels.

Analysis unit

Individual and Household

Sampling procedure

The survey is based on phone-interviews with application of Computer Assisted Telephone Interviews (CATI) and random digit dialing (RDD).

Mode of data collection

Computer Assisted Personal Interview [capi]

Response rate

Response rate was 69%.

The Household Market and Nonmarket Activities (HUS) project started as a joint research project between the Industrial Institute for Economic and Social Research (IUI) and Göteborg University in 1980. The ambition was to build a consistent longitudinal micro data base on the use of time, money and public services of households. The first main survey was carried out in 1984. In addition to a contact interview with the selected individuals, all designated individuals participated in a personal interview and two telephone interviews. All respondents were asked about their family background, education, marital status, labor market experience, and employment. In addition, questions about the household were asked of the head of household, concerning family composition, child care, health status, housing, possession of vacation homes, cars, boats and other consumption durables. At the end of the personal interview the household head had to fill out a questionnaire including questions about financing of current home, construction costs for building a house, house value and loans, imputation of property values and loans, additions/renovations 1983, maintenance and repairs, leasing, sale of previous home, assets and liabilities, and non-taxable benefits. All the respondents had to fill out a questionnaire including questions about tax-return information 1983, employment income, and taxes and support payments. Two telephone interviews were used primarily to collect data on the household´s time use and consumption expenditures. The 1986 HUS-survey included both a follow-up of the 1984 sample (panel study) and a supplementary sample. The 1986 sample included 1) all respondents participating in the 1984 survey, 2) the household heads, partners and third persons who should have participated in 1984 but did not (1984 nonresponse), 3) those individuals who started living together after the 1984 interview with an selected individual who participated or was supposed to participate in 1984, 4) members of the 1984 household born in 1966 or 1967. If entering a new household, for example because of leaving their parental home, the household head and his/her partner were also interviewed. Respondents participating in the 1984 survey were interviewed by telephone in 1986. Questions dealt with changes in family composition, housing, employment, wages and child care, and it was not only recorded whether a change had occurred, and what sort of change, but also when it occurred. The respondents also received a questionnaire by mail with questions mainly concerning income and assets. Respondents not participating in the earlier survey were interviewed in person and were asked approximately the same questions as in the 1984 personal interview. The 1988 HUS-survey was considerably smaller than the previous ones. It was addressed exclusively to participants in the 1986 survey, and consisted of a self-enumerated questionnaire with a nonrespondent follow-up by telephone. The questions dealt with changes in housing conditions, employment and household composition. The questionnaire also contained some questions on household income. In many respect the 1991 HUS-survey replicated the 1988 survey. The questions were basically the same in content and range, and the survey was conducted as a self-enamurated questionnaire sent out by mail. This time, however, in contrast to the 1988 survey, an attempt was made to include in the survey the new household members who had moved into sample households since 1986, as well as young people who turned 18 after the 1986 survey. Earlier respondents received a questionnaire by mail containing questions about their home, their primary occupation and weekly work hours since May 1988 (event-history data), earnings in 1989, 1990 and 1991, household composition and any changes in it that might have occurred since 1988, child care and some questions on income. New respondents were also asked about their education and labor-market experience. With respect to its design and question wording, the 1993 survey is a new version of the 1986 survey. The survey is made up of four parts: 1) the panel survey, which was addressed mainly to respondents in the 1991 survey, with certain additions; 2) the so-called supplementary survey, which focused on a new random sample of individuals; 3) the so-called nonresponse survey, which encompassed respondents who had participated in at least one of the earlier surveys but had since dropped out; 4) the time-use survey, which included the same sample of respondents as those in the panel and supplementary surveys. Individuals in the nonresponse group were not included in the time-use survey. Most of the questions in the first three surveys were the same, but certain questions sequences were targeted to the respondents in a specific survey. Thus certain retrospective questions were asked of the nonresponse group, while specific questions on social background, labor market experience etc. were addressed to new respondents. In the case of respondents who had already participated in the panel, a combined contact and main interview was conducted by telephone, after which a self-enumerated questionnaire was sent out to each respondent by mail. The panel sample also included young people in panel households who were born in 1973 or 1974 as well as certain new household members who had not previously been interviewed. These individuals, like new respondents, were not interviewed by telephone until they had been interviewed personally. Thus technically they were treated in the same manner as individuals in the supplementary sample. The new supplementary sample was first contacted by telephone and then given a fairly lengthy personal interview, at the conclusion of which each respondent was asked to fill out a written questionnaire. In this respect the survey design for the nonresponse sample was the same as for the supplementary sample. The nonresponse sample also included young people born in 1973 or 1974 as well as certain new household members. The time-use interviews were conducted by telephone. For each respondent two days were chosen at random from the period from February 15, 1993 to February 14, 1994 and the respondents were interviewed about their time use during those two days. If possible, the time-use interviews were preceded by the other parts of the survey, but this was not always feasible. In each household the household head and spouse/partner were interviewed, as well as an additional person in certain households. Questions regarding the household as a whole were asked of only one person in the household, preferably the household head. As in earlier surveys, data from the interviews was subsequently supplemented by registry data, but only for those respondents who had given their express consent. There is registry information for 75-80 percent of the sample. The telephone interview is divided into following sections: administrative data; labor market experience; employment; job-seekers; not in labor force; education; family composition; child care; health status; other household members; housing conditions; vacation homes; and cars and boats. The questionnaire was divided into twelve sections: sale of previous home; acquisition of current home; construction costs for building a home; house value and loans; repairs; insurance; home-related expenses; sale of previous home; assets; household income; taxes; and respondent income 1992. The 1996 telephone interview is divided into following sections: administrative data; labor market experience; employment; job-seekers; not in labor force; education; family composition; child care; health status; other household members; housing conditions; vacation homes; cars and boats; and environment. The questionnaire was divided into twelve sections: sale of previous home; acquisition of current home; construction costs for building a home; house value and loans; repairs; insurance; home-related expenses; sale of previous home; assets; household income; taxes; and respondent income 1995. The 1998 telephone interview is divided into following sections: administrative data; labor market experience; employment; job-seekers; not in labor force; education; family composition; child care; health status; other household members; housing conditions; vacation homes; cars and boats; and municipal service. The questionnaire was divided into nine sections: sale of previous home; house value and loans; insurance; home-related expenses; assets; household income; inheritances and gifts; black-market work; and respondent income 1997.

Abstract copyright UK Data Service and data collection copyright owner.

The Young Life and Times Survey (YLT) originally began as a companion survey to the Northern Ireland Life and Times Survey (NILT) series. It surveyed young people aged 12-17 living in the households of adults interviewed for NILT, and YLT ran alongside it from 1998-2000. Following an evaluation in 2001, the YLT series recommenced in 2003 (see SN 4826) using a completely different methodology and independent of the adult NILT. This new YLT survey uses Child Benefit records as a sampling frame.

The aims of the YLT series are to:

• monitor public attitudes towards social policy and political issues in Northern Ireland;
• provide a time series on attitudes to key social policy areas;
• facilitate academic social policy analysis; provide a freely available resource on public attitudes for the wider community of users in Northern Ireland;
• give a voice to young people.

An open access time-series teaching dataset has been created from the 2003-2012 YLTs - see SN 7548.

The Kids’ Life and Times (KLT) survey of P7 children (10-11 year olds) is also part of the same suite of surveys as YLT and NILT.

Further information about the YLT, including publications, may be found on the Access Research Knowledge (ARK) YLT webpages.

• attitudes to minority ethnic groups - funded by Office of the First Minister and Deputy First Minister (OFMDFM)
community relations - funded by OFMDFM
• sexual attitudes and experience - funded by OFMDFM
• loneliness and wellbeing - funded by University of Ulster
• family
• background information

The purpose of "The Time Budget Survey 1980-81" is to gather a comprehensive overview over how the population spends its time on different activities. The Time Budget Surveys are our most important source of information about how much and what types of unpaid work are performed in society, who performs this work, and when it is performed. The Time Budget Surveys also contain data not found in other surveys, e.g., information about circadian rhythms, leisure activities, and time people spend with their children and the rest of the family. The Time Budget Survey was first carried out in Norway in 1972-1973 and was originally inspired by the international survey "Comparative Time-Budget Projecet", where the same survey program was used in 12 different countries (A. Szalai (red.): The Use of Time, 1965-66). The 1980-81 survey is the second of its kind in Norway and is carried with a view to secure comparability with the results from the international survey. The data is mainly collected by diaries kept by a selection of the population. In addition, participants are asked to answer questions in a face-to-face interview. The survey consists of questions about the time use in then following areas: 1. Work 2. Work-related travels 3. Private work; hereunder housework, maintenance, childcare, purchasing and travels 4. Personal needs 5. Education 6. Leisure; hereunder sports and outdoor activities, entertainment, social interaction, media og reading This dataset contains the data for the interviews. The diaries are documented in a separate file.

Graph and download economic data for Employment Level - Persons At Work 1-34 Hours, Economic Reasons - Could Only Find Part-Time Work, All Industries (LNU02032196) from May 1955 to Jun 2025 about part-time, hours, 16 years +, household survey, employment, industry, and USA.

The 1966-2023 North American Breeding Bird Survey (BBS) dataset contains avian point count data for more than 700 North American bird taxa (species, races, and unidentified species groupings). These data are collected annually during the breeding season, primarily in June, along thousands of randomly established roadside survey routes in the United States and Canada. Routes are roughly 24.5 miles (39.2 km) long with counting locations placed at approximately half-mile (800-m) intervals, for a total of 50 stops. At each stop, a citizen scientist highly skilled in avian identification conducts a 3-minute point count, recording all birds seen within a quarter-mile (400-m) radius and all birds heard. Surveys begin 30 minutes before local sunrise and take approximately 5 hours to complete. Routes are surveyed once per year, with the total number of routes sampled per year growing over time; just over 500 routes were sampled in 1966, while in recent decades approximately 3000 routes have been sampled annually. No data are provided for 2020. BBS field activities were cancelled in 2020 because of the coronavirus disease (COVID-19) global pandemic and observers were directed to not sample routes. In addition to avian count data, this dataset also contains survey date, survey start and end times, start and end weather conditions, a unique observer identification number, route identification information, and route location information including country, state, and BCR, as well as geographic coordinates of route start point, and an indicator of run data quality.

Online Survey Software Market was valued at $1.49 Billion in 2023, and is projected to reach $USD 4.35 Billion by 2032, at a CAGR of 11.3% from 2023 to 2032.

The 17th of 20 years of International Social Survey Programme (ISSP) surveys within New Zealand by Professor Philip Gendall, Department of Marketing, Massey University.A verbose rundown on topics covered follows.Leisure time: activities and satisfaction. The meaning of time and leisure, and its relation to work and other spheres of life. Sport/game activities and subjective functions of sport and games. Sociological aspects of sports. Social and political participation. Social determinants and consequences of leisure.Frequency of leisure activities in respondent’s free time; main purpose of free time activities; enjoyment from reading books, getting together with friends, taking part in physical activities, and watching TV or DVDs; motivation for leisure time activities: establishing useful contacts, relaxing, and developing skills in free time.Frequency of feeling bored, feeling rushed, and thinking about work during free time; preference for sharing time with other people or being alone; wishes for: more time in a paid job, more time doing household work, more time with family, and more time in leisure activities; number of nights the respondent stayed away from home for holiday or social visits; days of leave from work; most frequent exercises or physical activity.Preferred type of games rather than sports; most important reasons for taking part in sports or games: physical or mental health, meeting other people, competing against others or physical attractiveness; most frequently watched sport on TV; feeling of national pride when respondent’s country does well at international sports or games competition; attitudes towards sport (scale); social and political participation; trust in people; interest in politics; reasons for staying away from doing free time activities: lack of facilities nearby, lack of money and time, personal health or responsibility to take care of someone; perception of happiness; estimation of personal health. Whether the day before questioning was a working-day or a holiday; time of getting up and going to sleep on the day before; height and weight of respondent; wishes to gain or to lose weight; conception of an ideal shape of a man and a women on the bases of presented pictures.Demography: Sex; age; marital status; steady life partner; years of schooling; highest education level; country specific education and degree; current employment status (respondent and partner); hours worked weekly; occupation (ISCO 1988) (respondent and partner); supervising function at work; working for private or public sector or self-employed (respondent and partner); if self-employed: number of employees; trade union membership; earnings of respondent (country specific); family income (country specific); size of household; household composition; party affiliation (left-right); country specific party affiliation; participation in last election; religious denomination; religious main groups; attendance of religious services; self-placement on a top-bottom scale; region (country specific); size of community (country specific); type of community: urban-rural area; country of origin or ethnic group affiliation. Additionally coded: administrative mode of data-collection; weighting factor; case substitution.

The U.S. Geological Survey (USGS) Oceanographic Time-Series Measurements Database contains oceanographic observations made as part of studies designed to increase understanding of sediment transport processes and associated ocean dynamics. This report describes the instrumentation and platforms used to make the measurements; the methods used to process and apply quality-control criteria and archive the data; and the data storage format. The report also includes instructions on how to access the data from the online database at https://stellwagen.er.usgs.gov/.

Graph and download economic data for Employment Level - Part-Time for Economic Reasons, Slack Work or Business Conditions, Nonagricultural Industries (LNS12032198) from May 1955 to Jun 2025 about nonagriculture, part-time, 16 years +, business, household survey, employment, industry, and USA.