Abstract

National Statistical Office (NSO) in India conducted the first Time Use Survey during January – December 2019. The survey measures the participation rate and time spent on paid activities, care activities, unpaid activities, etc.

The primary objective of Time Use Survey (TUS) is to measure participation of men and women in paid and unpaid activities. TUS is an important source of information on the time spent in unpaid caregiving activities, volunteer work, unpaid domestic service producing activities of the household members. It also provides information on time spent on learning, socializing, leisure activities, self-care activities, etc., by the household members.

The Time Use Survey, 2019 has the following features:

(i) In this survey, information on activity particulars was collected for each household member of age 6 years and above, with a reference period of 24 hours starting from 4:00 AM on the day before the date of interview to 4:00 AM on the day of the interview. The reference period of 24 hours was split into 48 time slots, each of duration of 30 minutes.

(ii) The Information on time use for the reference period was collected through personal interview from the persons of age 6 years and above of the selected households.

(iii)Respondents were asked about their activities performed in the designated time slots and the same was recorded against the corresponding slot. In case of multiple activities in a time slot the activities which were performed for 10 minutes or more were recorded.

(iv) The activities reported by the respondents, were codified (3-digit code) following the International Classification of Activities for Time Use Statistics 2016 (ICATUS 2016).The cla ssification is referred to as TUS activity classification in this Report. The code structure and description of the 3-digit code of the TUS activity classification are given in Annexure in Chapter Two.

(v) Determination of activity performed in a day and time spent in a day in that activity have been done in the following ways:

a. Considering only the major activity in a time slot: While considering only the major activity in a time slot, the entire duration of the time in that time slot has been allotted to the major activity and the major activity was considered as the activity performed in that time slot.

b. Considering all the activities in a time slot: While considering all the activities performed in a time slot, the entire duration of time in a time slot has been assigned among the activities in a time slot in the following ways:

If in a time slot only one activity was performed, the entire duration of that time slot was allotted against that activity.

If in a time slot more than one activity was performed, the entire duration of that time slot was allotted equally among the activities performed in that time slot.

Geographic coverage

The survey covered the whole of the Indian Union except the villages in Andaman and Nicobar Islands which are difficult to access.

Sampling procedure

In Time Use Survey (TUS), a rural village was notionally divided into a number of subunits (SU) of more or less equal population during the preparation of frame. Census 2011 population of villages was projected by applying suitable growth rates and the number of SUs formed in a village was determined apriori. The above procedure of SU formation was implemented in the villages with population more than or equal to 1000 as per Census 2011. In the remaining villages, no SU was formed. SUs were formed in urban sector also. The procedure was similar to that adopted in rural areas except that SUs were formed on the basis of households in the Urban Frame Survey (UFS) frame instead of population, since UFS frame does not have population. Each UFS block with number of households more than or equal to 250 was divided into a number of SUs. In the remaining UFS blocks, no SU was formed.

A stratified two stage design was adopted for the TUS. The first stage units (FSU) were villages/UFS blocks/sub-units (SUs) as per the situation. The ultimate stage units (USU) were households in both the sectors.

In the rural areas, stratification was made as follows: (a) all inhabited villages within each NSS State region constituted a rural stratum and (b) a special stratum, in the rural areas only, was formed at all-India level before the strata are formed in each State/UT. This stratum comprised all the uninhabited villages as per Census 2011 belonging to allStates/U Ts. In urban areas strata were formed within each NSS State region on the basis of size class of towns as per Census 2011.

Sub-Stratification in rural areas: In rural areas, three groups of villages were formed within each stratum (except special rural stratum) as follows: Group 1: all villages (Panchayat wards for Kerala) with Census 2011 population less than 250 Group 2: all villages (Panchayat wards for Kerala) with Census 2011 population more than or equal to 250 but less than 500 Group 3: remaining villages

The sample size for a rural stratum was allocated among 3 groups in proportion to Census population. Sub-strata was demarcated in Group 1, Group 2 and Group 3 respectively in such a way that each sub-stratum comprises a group of villages (all SUs of a village considered together) of the arranged frame and have more or less equal Census population within the respective group.

Sub-Stratification in urban areas: Sub-strata were demarcated in such a way that eachsub-stratum comprised a group of UFS blocks (all SUs within the block taken together)having more or less equal number of households.

Mode of data collection

Face-to-face [f2f]

Abstract

Time Use Survey (TUS) provides a framework for measuring time dispositions by the population on different activities. One distinguishing feature of Time Use Survey from other household surveys is that it can capture time disposition on different aspects of human activities, be it paid, unpaid or other activities with such details which is otherwise not possible in other surveys. In recent years, time use surveys have gained much impetus among policy makers and other data users for their usefulness in measuring various aspects of gender statistics. National Sample Survey Office (NSSO) in India conducted the first Time Use Survey during January - December 2019. The second Time Use Survey will be conducted during January -December 2024.

Objective of the survey

The primary objective of Time Use Survey (TUS) is to measure participation of persons in paid and unpaid activities. The survey will be an important source of information on the time spent in unpaid caregiving activities, unpaid volunteer work, unpaid domestic service producing activities of the household members. This will also provide information on time spent on learning, socializing, leisure activities, self-care activities, etc. by the household members.

Geographic coverage

The survey covers whole of the Indian Union except the villages in Andaman and Nicobar Islands which are difficult to access.

Analysis unit

Unit of survey: The first stage unit (FSU) is the village/UFS block/SU depending on the sampling frame.

Sampling procedure

In Time Use Survey (TUS), a rural village was notionally divided into a number of subunits (SU) of more or less equal population during the preparation of frame. Census 2011 population of villages was projected by applying suitable growth rates and the number of SUs formed in a village was determined apriori. The above procedure of SU formation was implemented in the villages with population more than or equal to 1000 as per Census 2011. In the remaining villages, no SU was formed. SUs were formed in urban sector also. The procedure was similar to that adopted in rural areas except that SUs were formed on the basis of households in the Urban Frame Survey (UFS) frame instead of population, since UFS frame does not have population. Each UFS block with number of households more than or equal to 250 was divided into a number of SUs. In the remaining UFS blocks, no SU was formed.

A stratified two stage design was adopted for the TUS. The first stage units (FSU) were villages/UFS blocks/sub-units (SUs) as per the situation. The ultimate stage units (USU) were households in both the sectors.

In the rural areas, stratification was made as follows: (a) all inhabited villages within each NSS State region constituted a rural stratum and (b) a special stratum, in the rural areas only, was formed at all-India level before the strata are formed in each State/UT. This stratum comprised all the uninhabited villages as per Census 2011 belonging to allStates/U Ts. In urban areas strata were formed within each NSS State region on the basis of size class of towns as per Census 2011.

Sub-Stratification in rural areas: In rural areas, three groups of villages were formed within each stratum (except special rural stratum) as follows: Group 1: all villages (Panchayat wards for Kerala) with Census 2011 population less than 250 Group 2: all villages (Panchayat wards for Kerala) with Census 2011 population more than or equal to 250 but less than 500 Group 3: remaining villages

The sample size for a rural stratum was allocated among 3 groups in proportion to Census population. Sub-strata was demarcated in Group 1, Group 2 and Group 3 respectively in such a way that each sub-stratum comprises a group of villages (all SUs of a village considered together) of the arranged frame and have more or less equal Census population within the respective group.

Sub-Stratification in urban areas: Sub-strata were demarcated in such a way that each sub-stratum comprised a group of UFS blocks (all SUs within the block taken together)having more or less equal number of households.

Mode of data collection

Face-to-face [f2f]

United States Employment: NF: WW: TU: RT: Gasoline Stations & Fuel Dealers data was reported at 526.900 Person th in Mar 2025. This records a decrease from the previous number of 527.000 Person th for Feb 2025. United States Employment: NF: WW: TU: RT: Gasoline Stations & Fuel Dealers data is updated monthly, averaging 520.600 Person th from Jan 1990 (Median) to Mar 2025, with 423 observations. The data reached an all-time high of 566.000 Person th in Jun 2019 and a record low of 420.600 Person th in Mar 1990. United States Employment: NF: WW: TU: RT: Gasoline Stations & Fuel Dealers data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G064: Current Employment Statistics: Employment: Women Worker: Non Farm Payroll.

IntroductionVariation in smoking cessation behaviors and motivators across the United States may contribute to health disparities. This study investigates regional differences over time in two key cessation motivators (quit interest and doctor's advice to quit) and two cessation behaviors (past-year quit attempts and recent successful cessation) across diverse demographic factors.MethodsData were analyzed from two releases of the Tobacco Use Supplement to the U.S. Census Bureau's Current Population Survey (TUS-CPS) for the years 2014–15 and 2018–19. The analysis included sex, age, race and ethnicity, education, marital status, employment status, and household income.ResultsFindings from 2018 to 2019 TUS-CPS revealed that quit interest was highest in the Northeast and lowest in the Midwest, while doctor's advice to quit was most prevalent in the Northeast and least in the West. Past-year quit attempts were most common in the Northeast and least in the South. Recent successful cessation (defined as quitting for 6 to 12 months) was highest in the Northeast and Midwest, with the South showing the lowest rates. Compared to the 2014–15 survey, 14 demographic groups (7 in the Midwest, 6 in the South, and 1 in the West) showed decreases in both quit interest and actions to quit. Notably, the Asian non-Hispanic group in the Northeast experienced a significant decrease in quit interest (–17.9%) but an increase in recent successful cessation (+369.2%).DiscussionOverall, the study indicates that while quit interest was highest in the West, the South exhibited the lowest rates of quit attempts and successful cessation. Significant differences were also noted between age groups. These findings highlight the need for further research into cessation behaviors at more granular levels to inform policies aimed at reducing smoking-related health disparities among populations facing the greatest challenges in cessation.

Data and R code used in L, C. T. U (2019). Using Causal Modelling Principles to Integrate Long-term Macroinvertebrate Monitoring Data for the Murray River with an Existing Hydroclimate-Salinity Model for the Murray-Darling Basin to Predict the Ecohydrological Effects of Future Climate Scenarios. Unpublished PhD thesis. La Trobe University, Victoria, Australia.

Este conjunto de datos contiene el listado de los puntos Cuida tu Salud de la Dirección General de Proyectos Estratégicos y Especiales de la Presidencia (PROPEEP), en funcionamiento en el periodo 2020, en el que se puede encontrar su ubicación, horario en el que funciona y posición geográfica.

TU RAB 2019

TU 2019 POL PP

United States Employment: NF: WW: TU: TW: Transit & Ground Passenger Transpo data was reported at 206.600 Person th in Mar 2025. This records a decrease from the previous number of 206.900 Person th for Feb 2025. United States Employment: NF: WW: TU: TW: Transit & Ground Passenger Transpo data is updated monthly, averaging 156.300 Person th from Jan 1990 (Median) to Mar 2025, with 423 observations. The data reached an all-time high of 210.000 Person th in Dec 2019 and a record low of 61.600 Person th in Aug 1990. United States Employment: NF: WW: TU: TW: Transit & Ground Passenger Transpo data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G064: Current Employment Statistics: Employment: Women Worker: Non Farm Payroll.