The National Household Travel Survey provides information to assist transportation planners and policy makers who need comprehensive data on travel and transportation patterns in the United States

Regionwide household travel survey conducted from 2012-13. Includes information on households, people, vehicles, and the trips they made.

Household Travel Survey (HTS) is the most comprehensive source of personal travel data for the Sydney Greater Metropolitan Area (GMA). This data explores average weekday travel patterns for residents in Sydney GMA.\r \r The Household Travel Survey (HTS) collects information on personal travel behaviour. The study area for the survey is the Sydney Greater Metropolitan Area (GMA) which includes Sydney Greater Capital City Statistical Area (GCCSA), parts of Illawarra and Hunter regions. All residents of occupied private dwellings within the Sydney GMA are considered within scope of the survey and are randomly selected to participate.\r The HTS has been running continuously since 1997/981 and collects data for all days through the year – including during school and public holidays.\r \r Typically, approximately 2,000-3,000 households participate in the survey annually. Data is collected on all trips made over a 24-hour period by all members of the participating households.\r \r Annual estimates from the HTS are usually produced on a rolling basis using multiple years of pooled data for each reporting year2. All estimates are weighted to the Australian Bureau of Statistics’ Estimated Resident Population, corresponding to the year of collection3. Unless otherwise stated, all reported estimates are for an average weekday.\r \r \r \r Due to disruptions in data collection resulting from the lockdowns during the COVID-19 pandemic, post-COVID releases of HTS data are based on a lower sample size than previous HTS releases. To ensure integrity of the results and mitigate risk of sampling errors some post-COVID results have been reported differently to previous years. Please see below for more information on changes to HTS post-COVID (2020/21 onwards).\r \r 1. Data collection for the HTS was suspended during lock-down periods announced by the NSW Government due to COVID-19.\r \r 2. Exceptions apply to the estimates for 2020/21 which are based on a single year of sample as it was decided not to pool the sample with data collected pre-COVID-19. \r \r 3. HTS population estimates are also slightly lower than those reported in the ABS census as the survey excludes overseas visitors and those in non-private dwellings.\r \r Changes to HTS post-COVID (2020/21 onwards)\r \r HTS was suspended from late March 2020 to early October 2020 due to the impact and restrictions of COVID-19, and again from July 2021 to October 2021 following the Delta wave of COVID-19. Consequently, both the 2020/21 and 2021/22 releases are based on a reduced data collection period and smaller samples.\r \r Due to the impact of changed travel behaviours resulting from COVID-19 breaking previous trends, HTS releases since 2020/21 have been separated from pre-COVID-19 samples when pooled. As a result, HTS 2020/21 was based on a single wave of data collection which limited the breadth of geography available for release. Subsequent releases are based on pooled post-COVID samples to expand the geographies included with reliable estimates.\r \r Disruption to the data collection during, and post-COVID has led to some adjustments being made to the HTS estimates released post-COVID:\r \r SA3 level data has not been released for 2020/21 and 2021/22 due to low sample collection.\r LGA level data for 2021/22 has been released for selected LGAs when robust Relative Standard Error (RSE) for total trips are achieved\r Mode categories for all geographies are aggregated differently to the pre-COVID categories\r Purpose categories for some geographies are aggregated differently across 2020/21 and 2021/22.\r A new data release – for six cities as defined by the Greater Sydney Commission - is included since 2021/22.\r Please refer to the Data Document for 2022/23 (PDF, 262.54 KB) for further details.\r \r \r RELEASE NOTE\r \r The latest release of HTS data is 15 May 2025. This release includes Region, LGA, SA3 and Six Cities data for 2023/24. Please see 2023/24 Data Document for details.\r \r A revised dataset for LGAs and Six Cities for HTS 2022/23 data has also been included in this release on 15 May 2025. If you have downloaded HTS 2022/23 data by LGA and/or Six Cities from this link prior to 15/05/2025, we advise you replace it with the revised tables. If you have been supplied bespoke data tables for 2022/23 LGAs and/or Six Cities, please request updated tables.\r \r Revisions to HTS data may be made on previously published data as new sample data is appended to improve reliability of results. Please check this page for release dates to ensure you are using the most current version or create a subscription (https://opendata.transport.nsw.gov.au/subscriptions) to be notified of revisions and future releases.\r

Abstract

The National Household Travel Survey (NHTS) 2020 is the third round of the survey series designed to assess domestic transport and tourism travel patterns of South African households as well as their attitudes about transport. The NHTS collects data on general household characteristics, travel patterns of households, and attitudes about transport.

Geographic coverage

National coverage

Analysis unit

Households and individuals

Universe

The target population of the survey consists of all private households in all nine provinces of South Africa and residents in workers' hostels. The survey does not cover other collective living quarters such as students' hostels, old-age homes, hospitals, prisons and military barracks.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample design for the NHTS was based on a master sample (MS) that used a two-stage, stratified design with probability-proportional-to-size (PPS) sampling of PSUs from within strata, and systematic sampling of dwelling units (DUs) from the sampled primary sampling units (PSUs). A self-weighting design at provincial level was used and MS stratification was divided into two levels, primary and secondary stratification. Primary stratification was defined by metropolitan and non-metropolitan geographic area type. During secondary stratification, the Census 2001 data were summarized at PSU level. The following variables were used for secondary stratification, household size, education, occupancy status, gender, industry and income.

Census enumeration areas (EAs) as delineated for Census 2001 formed the basis of the PSUs. The following additional rules were used: • Where possible, PSU sizes were kept between 100 and 500 dwelling units (DUs); • EAs with fewer than 25 DUs were excluded. • EAs with between 26 and 99 DUs were pooled to form larger PSUs and the criteria used was same settlement type; • Virtual splits were applied to large PSUs: 500 to 999 splits into two; 1000 to 1499 splits into three; and 1500 plus split into four PSUs; and • Informal PSUs were segmented.

A Randomized Probability Proportional to Size (RPPS) systematic sample of PSUs was drawn in each stratum, with the measure of size being the number of households in the PSU. Altogether approximately 3080 PSUs were selected. In each selected PSU a systematic sample of dwelling units was drawn. The number of DUs selected per PSU varies from PSU to PSU and depends on the Inverse Sampling Ratios (ISR) of each PSU.

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey questionnaire consisted of 9 sections: Section 1: General health and functioning, social grants and social relief Section 2: General travel patterns Section 3: Education and education-related travel patterns Section 4: Work-related travel patterns (age 15 years and above) Section 5: Business trips Section 6: Other travel patterns Section 7: General household information Section 8: Household attitudes and perceptions about transport Section 9: Survey officer questions

The Household Travel Survey (HTS) collects information on personal travel behaviour. The study area is the Sydney Greater Metropolitan Area (GMA) and forms the geographic scope of the survey. The area covered by the GMA includes Sydney, Illawarra and the Hunter. All residents of occupied private dwellings within this area are considered in scope of the survey and are randomly selected to participate.

The HTS is conducted every day of the year and has been running continuously since 1997/98. Each year approx. 5,000 households are selected to participate. Data is collected on all trips made over a 24-hour period. Surveys are conducted using face-to-face interviews and each member of the household is included.

HTS data is available by Region, Statistical Area Level 3 (SA3) or Local Government Area (LGA). LGA Data is only available from 2016/17 onwards.

The Seattle Household Travel Survey Wave 5, conducted in 1994, was the fifth wave in a ten-part longitudinal panel survey of the travel patterns of households in the Puget Sound region of Washington state. The survey series was initiated in 1989 by the Puget Sound Regional Council. This collection contains the fifth set of panel data for approximately 2,000 households in King, Kitsap, Pierce, and Snohomish counties. The survey relied on the willingness of study area residents to 1) provide demographic information about their household, its members, and its vehicles; 2) document all travel for each household member, aged 15 years or older, for an assigned two-day period; and 3) agree to participate in additional survey waves. After an initial telephone screening, survey participants received mailed travel diaries to aid in documenting travel information for the two-day assessment period. Respondents were instructed to record their mode of transportation, trip purpose, number of passengers, departure and arrival times, ride fare, and parking costs. Demographic information for this study includes age, gender, education, employment status, and household income.

The California add-on survey supplements the 2009 National Household Travel Survey (NHTS) with additional household samples and detailed travel behavior for an assigned travel day. The NHTS was conducted by the Federal Highway Administration, which collected data on the demographic and socioeconomic composition of households, as well as detailed information on travel behavior nationwide. State transportation departments and metropolitan planning agencies had the opportunity to purchase extra household samples as part of the NHTS add-on program. These additional samples, along with national samples collected in the add-on areas, are compiled for use in transportation planning, forecasting, and research. The California Department of Transportation participated in the NHTS add-on program and received a total of 21,225 household samples in California, from March 2008 through May 2009.

The 2001-2003 Ohio Statewide Household Travel Survey is a comprehensive study of the demographic and average weekday, local and regional personal travel made by residents of Ohio. This survey entailed the collection of activity and travel information for all household members. The survey relied on the willingness of regional households to (1) provide demographic information about the household, its members and its vehicles and (2) have all household members record all travel and activity for the travel period, including address information for all locations visited, trip purpose, mode, and travel times. Demographic information includes age, gender, valid driver's license, occupation, student status, number of people in the household, and household income.

Household travel surveys such as the Transportation for the 21st Century Household Travel Survey (Philadelphia 2000) are used to obtain information about work and non-work trip generation, trip distribution, modal choice, and traffic assignment as well as to obtain data on average vehicle occupancy. The study area for this travel survey consisted of the Pennsylvania counties of Bucks, Chester, Delaware, Montgomery, and Philadelphia (along with a small portion of Berks County); the New Jersey Delaware Valley counties of Burlington, Camden, Gloucester, and Mercer; and the South Jersey counties of Atlantic, Cape May, Cumberland, and Salem. The resultant data set contains demographic and travel data on 5,677 households in the 14-county study area. Of the 5,677 households that participated in the study, 2,666 were from the Delaware Valley region of Pennsylvania, 1,551 were from the Delaware Valley region of New Jersey, and 1,460 were from Southern Jersey. The Transportation for the 21st Century study relied on the willingness of area residents to complete diary records of all travel for a 24-hour period. It was based on telephone interviews of randomly selected households from the 14-county study area. Participating households were assigned a specific "travel day" or 24-hour period on which to record their travel and activities. Demographic variables include the number of vehicles in the household, household income, age, gender, whether respondents held a valid driver's license, whether respondents had a disability, and employment status.

Conducted by the Federal Highway Administration (FHWA), the National Household Travel Survey (NHTS) is the authoritative source on the travel behavior of the American public. It is the only source of national data that allows one to analyze trends in personal and household travel. It includes daily non-commercial travel by all modes, including characteristics of the people traveling, their household, and their vehicles. The NHTS has been conducted in 1983, 1990, 1995, 2001, 2009, and 2017.

The Atlanta Household Travel Survey sampled 8,069 households in the thirteen-county metropolitan Atlanta region. The survey relied on the willingness of area residents to complete diary records of all travel for a 48-hour period. Household recruitment for the study was conducted through the use of a recruitment interview, in which respondents were informed of the survey, its purpose, and the obligation of all household members to complete the survey. The 8,069 participating households, when weighted, represent 21,323 persons, 14,449 vehicles, and 126,127 places visited during the 48-hour travel period. Data were collected on trip generation, trip distribution, modal choice, transit use, neighborhood preferences, and trip activities. Household data includes demographic information such as household size, household vehicles, dwelling type, home ownership status, tenure, and computer ownership. Also included are summary statistics regarding the number of workers, students, and trips made during the 48-hour travel period. Person data includes demographic information about the household members, student data, employment data for first and second jobs, and health related information.

The Chicago Area Transportation Study (CATS) 1990 Household Travel Survey was a self-administered mail-out mail-back survey. The purpose of the study was to update existing data on travel patterns and characteristics of Chicago residents. CATS surveyed the region on a county-by-county basis with the Chicago Central Business District in collaboration with the Urban Transportation Center of the University of Illinois. The study gathered demographic and travel behavior data from residents of northeastern Illinois who were 14 years old or older. 19,314 households participated in the survey. The study focused on non-work travel by motorized vehicle and by foot, and residents recorded their trips on a single travel day. Transportation-related variables include trip origin and destination, trip purpose, travel time, mode of travel used, vehicle occupancy, and walking distance (if that transit mode was involved).

Note: Find data at source. ・ The National Household Travel Survey (NHTS) is the U.S. Department of Transportation’s (USDOT’s) nationally representative data source for daily local and long-distance passenger travel.

The Metropolitan Washington Council of Governments/National Capital Region Transportation Planning Board (COG/TPB) periodically conducts regional household travel surveys to monitor changes in daily travel and to gather information on the demographic, socioeconomic, and trip-making characteristics of Washington, D.C.-area residents. Information collected in the 1994 Household Travel Survey was an important component in the development of regional travel demand forecasting models used to predict changes in daily travel in response to current development trends and changes in regional transportation policies and programs. In two waves during the spring and fall of 1994, consultants for COG/TPB conducted a survey of daily travel by persons living in area households. The survey file contains travel information associated with 4,863 households residing in 13 jurisdictions comprising the greater Washington, D.C., region (approximately a 1-in-300 sample). The survey file contains 39,800 internal trip records with respect to the expanded cordon.

Abstract

The National Household Travel Survey 2020 is the third round of the survey series designed to assess domestic transport and tourism travel patterns of South African households as well as their attitudes about transport.

Geographic coverage

The survey has national coverage.

Analysis unit

Households and individuals

Universe

The target population of the survey consists of all private households in all nine provinces of South Africa and residents in workers' hostels. The survey does not cover other collective living quarters such as students' hostels, old-age homes, hospitals, prisons and military barracks.

Kind of data

Sample survey data

Sampling procedure

The sample design for the NHTS was based on a master sample (MS) that used a two-stage, stratified design with probability-proportional-to-size (PPS) sampling of PSUs from within strata, and systematic sampling of dwelling units (DUs) from the sampled primary sampling units (PSUs). A self-weighting design at provincial level was used and MS stratification was divided into two levels, primary and secondary stratification. Primary stratification was defined by metropolitan and non-metropolitan geographic area type. During secondary stratification, the Census 2001 data were summarised at PSU level. The following variables were used for secondary stratification; household size, education, occupancy status, gender, industry and income.

Census enumeration areas (EAs) as delineated for Census 2001 formed the basis of the PSUs. The following additional rules were used: • Where possible, PSU sizes were kept between 100 and 500 dwelling units (DUs); • EAs with fewer than 25 DUs were excluded; • EAs with between 26 and 99 DUs were pooled to form larger PSUs and the criteria used was same settlement type; • Virtual splits were applied to large PSUs: 500 to 999 split into two; 1 000 to 1 499 split into three; and 1 500 plus split into four PSUs; and • Informal PSUs were segmented.

A Randomised Probability Proportional to Size (RPPS) systematic sample of PSUs was drawn in each stratum, with the measure of size being the number of households in the PSU. Altogether approximately 3 080 PSUs were selected. In each selected PSU a systematic sample of dwelling units was drawn. The number of DUs selected per PSU varies from PSU to PSU and depends on the Inverse Sampling Ratios (ISR) of each PSU.

Mode of data collection

Face-to-face [f2f]

The Household Travel Survey (HTS) collects information on personal travel behaviour. The study area is the Sydney Greater Metropolitan Area (GMA) and forms the geographic scope of the survey. The area covered by the GMA includes Sydney, Illawarra and the Hunter. All residents of occupied private dwellings within this area are considered in scope of the survey and are randomly selected to participate. The HTS is conducted every day of the year and has been running continuously since 1997/98. Each year approx. 5,000 households are selected to participate. Data is collected on all trips made over a 24-hour period. Surveys are conducted using face-to-face interviews and each member of the household is included. HTS data is available by Region, Statistical Area Level 3 (SA3) or Local Government Area (LGA). LGA Data is only available from 2016/17 onwards.

The St. Louis Household Travel Survey, 2002, entailed the collection of weekday travel behavior characteristics of households residing in each of the eight counties that comprise the St. Louis region. In addition to collecting basic demographic and socioeconomic information about each household and its members, the survey documented specific characteristics of activities and trips made, including number and purpose of trips, trip duration, time of day, mode of transportation, and specifics of school and work-related travel. The survey instruments contained three components: (1) the recruitment questionnaire, (2) the travel log, and (3) the retrieval questionnaire. In total, 7,046 households were recruited to participate in the study via telephone interview. Of these 5,094 completed travel logs during a specific 24-hour period, and the information was retrieved from all household members, regardless of age. Demographic information for this study includes age, gender, education level, employment status, and household income.

The National Household Travel Survey (NHTS) ran from April 19, 2016, through April 25, 2017. It collected data on the demographic and socioeconomic composition of households, as well as detailed information on travel behavior nationwide. State transportation departments and metropolitan planning agencies had the opportunity to purchase extra household samples as part of the NHTS add-on program. These additional samples, along with national samples collected in the add-on areas, are compiled for use in transportation planning, forecasting, and research. The Des Moines Area Metropolitan Planning Organization participated in the NHTS add-on program and received a total of 1,293 household samples in Iowa. (The total number of household samples nationwide is 129,112.)

The table 2017 NHTS household travel is part of the dataset National Household Level Travel Survey (NHTS) ***, available at https://redivis.com/datasets/gn73-86n9xfyyr. It contains 129696 rows across 58 variables.

The Queensland Household Travel Survey Series contains household travel surveys conducted by the Department of Transport and Main Roads (TMR) from 2017 onwards.

In addition to surveys covering individual years, this series now includes pooled datasets which contain data across a specific range of years.