The National Travel Survey (NTS) is a series of household surveys designed to provide regular, up-to-date data on personal travel and monitor changes in travel behaviour over time. The first NTS was commissioned by the Ministry of Transport in 1965. Further periodic surveys were carried out in 1972/73, 1975/76, 1978/79 and 1985/86 (the UK Data Service holds data from 1972 onwards). Since July 1988 the NTS has been carried out as a continuous survey with field work being carried out in every month of the year, and an annual set sample of over 5,000 addresses. From 2002, the NTS sample was increased approximately threefold, to approximately 15,000 per year. The advantage of the continuous study is that users will be able to discern seasonal and cyclical movements as well as trend changes over time. The NTS is carried out primarily for the purposes of government. The most fundamental use of the National Travel Survey within the Department for Transport (DfT) is as core base data for key transport models. These are critical to the assessment and appraisal of transport scheme proposals (national and local), transport policy proposals, and contribute to the development of our long-term strategy. The NTS data is used to develop consistent sets of transport policies. Because it relates travel to travellers, it makes it possible to relate policies to people and to predict their impact. The survey provides detailed information on different types of travel: where people travel from and to, distance, purpose and mode. The NTS records personal and socio-economic information to distinguish between different types of people, and the differences in the way they travel and how often they do so. The NTS is the only source of national information on subjects such as walking which provide a context for the results of more local studies.

Further information may be found on the gov.uk National Travel Survey webpage.

End-User Licence, Special Licence and Secure Access NTS data
The UK Data Archive holds three versions of the NTS:

• the End User Licence (EUL) versions (SNs 5340 and 6108) contain a comprehensive range of NTS data at Government Office Region geographic level and should be sufficient for most research needs. EUL data are available to registered users of the UK Data Service (see the Administrative and Access section below for details).
• The Special Licence versions (SNs 7553 and 7804) contain more detailed travel (including accidents), demographic and socio-economic data, and the geographic level is Local Authority/Unitary Authority. Special Licence data are subject to more restricted access conditions.
• The Secure Access version (SN 7559) contains more detailed information and postcode sector geographies. Secure Access data are subject to further restricted access conditions, including the completion of a training course.

Changes to the methodology in 2002 mean that there are some inconsistencies with data for previous years. Most notably, an under-recording of short walks in 2002 and 2003 affects trends over this period, particularly in the number of trips per person.

2020 and 2021 Disclaimer: Due to changes in the methodology of data collection, changes in travel behaviour, and a reduction of data collected during 2020 and 2021 as a result of the coronavirus (COVID-19) pandemic, care should be taken when interpreting this data and comparing it to other years due to the small sample sizes. Please see the background documentation for further details of these changes.

2023 sample size: From January 2023 the number of households invited to take part in the National Travel Survey was increased, resulting in an increase to the sample size. For more information please see the technical report.

Data labels
Users should note that the SPSS and Stata files for 2024 have been converted from CSV format and do not currently contain variable or value labels. Complete metadata information can be found in the Excel Lookup table files and the NTS Data Extract User Guide within the documentation.

Latest edition information

For the nineteenth edition (November 2025), data and documentation for 2024 have been added to the study.

The National Travel Survey (NTS) is a series of household surveys designed to provide regular, up-to-date data on personal travel and monitor changes in travel behaviour over time. The first NTS was commissioned by the Ministry of Transport in 1965. Further periodic surveys were carried out in 1972/73, 1975/76, 1978/79 and 1985/86 (the UK Data Service holds End User Licence data from 1972 onwards and Special Licence and Secure Access data from 2002). Since July 1988 the NTS has been carried out as a continuous survey with field work being carried out in every month of the year, and an annual set sample of over 5,000 addresses. From 2002, the NTS sample was increased approximately threefold, to approximately 15,000 per year. The advantage of the continuous study is that users will be able to discern seasonal and cyclical movements as well as trend changes over time. The NTS is carried out primarily for the purposes of government. The most fundamental use of the National Travel Survey within the Department for Transport (DfT) is as core base data for key transport models. These are critical to the assessment and appraisal of transport scheme proposals (national and local), transport policy proposals, and contribute to the development of our long-term strategy. The NTS data is used to develop consistent sets of transport policies. Because it relates travel to travellers, it makes it possible to relate policies to people and to predict their impact. The survey provides detailed information on different types of travel: where people travel from and to, distance, purpose and mode. The NTS records personal and socio-economic information to distinguish between different types of people, and the differences in the way they travel and how often they do so. The NTS is the only source of national information on subjects such as walking which provide a context for the results of more local studies.

Further information may be found on the gov.uk National Travel Survey web page.

End-User Licence, Special Licence and Secure Access NTS data
The UK Data Archive also holds End User Licence (EUL) NTS data from 1972 onwards (see SNs 2852, 2853, 2855, 3288, 4108, 4583-4585, 6108 and 5340) and Special Licence (SL) NTS data from 1995 onwards (SNs 7804 and 7553). The EUL versions contain a comprehensive range of NTS data at Government Office Region geographic level and should be sufficient for most research needs. The SL versions contain more detailed travel (including accidents), demographic and socio-economic data, and the geographic level is Local Authority/Unitary Authority. These data are subject to more restricted access conditions than EUL. The Secure Access version contains more detailed information and postcode sector geographies. Secure Access data are subject to further restricted access conditions, including the completion of a training course. For full details of the differences between the EUL, SL and Secure Access NTS, see the document '7559_nts_table_structures.xls' in the documentation. Users should always check whether the EUL and SL versions are suitable for their research needs before considering making an application for the Secure Access version.

2023 sample size: From January 2023 the number of households invited to take part in the National Travel Survey was increased, resulting in an increase to the sample size. For more information please see the technical report.

Data labels: Users should note that the SPSS and Stata files for 2024 have been converted from CSV format and do not currently contain variable or value labels. Complete metadata information can be found in the Excel Lookup table files and the NTS Data Extract User Guide within the documentation.

Latest edition information

For the twelfth edition (November 2025), data and documentation for 2024 have been added to the study.

The National Travel Survey (NTS) is a series of household surveys designed to provide regular, up-to-date data on personal travel and monitor changes in travel behaviour over time. The first NTS was commissioned by the Ministry of Transport in 1965. Further periodic surveys were carried out in 1972/73, 1975/76, 1978/79 and 1985/86 (the UK Data Service holds End-User Licence data from 1972 onwards and Special Licence and Secure Access data from 2002 onwards). Since July 1988 the NTS has been carried out as a continuous survey with field work being carried out in every month of the year, and an annual set sample of over 5,000 addresses. From 2002, the NTS sample was increased approximately threefold, to approximately 15,000 per year. The advantage of the continuous study is that users will be able to discern seasonal and cyclical movements as well as trend changes over time. The NTS is carried out primarily for the purposes of government. The most fundamental use of the National Travel Survey within the Department for Transport (DfT) is as core base data for key transport models. These are critical to the assessment and appraisal of transport scheme proposals (national and local), transport policy proposals, and contribute to the development of our long-term strategy. The NTS data is used to develop consistent sets of transport policies. Because it relates travel to travellers, it makes it possible to relate policies to people and to predict their impact. The survey provides detailed information on different types of travel: where people travel from and to, distance, purpose and mode. The NTS records personal and socio-economic information to distinguish between different types of people, and the differences in the way they travel and how often they do so. The NTS is the only source of national information on subjects such as walking which provide a context for the results of more local studies.

Further information may be found on the gov.uk National Travel Survey webpage.

End-User Licence, Special Licence and Secure Access NTS data
The UK Data Archive holds three versions of the NTS:

• the End User Licence (EUL) versions (SNs 5340 and 6108) contain a comprehensive range of NTS data at Government Office Region geographic level and should be sufficient for most research needs. EUL data are available to registered users of the UK Data Service (see the Administrative and Access section below for details).
• The Special Licence versions (SNs 7553 and 7804) contain more detailed travel (including accidents), demographic and socio-economic data, and the geographic level is Local Authority/Unitary Authority. Special Licence data are subject to more restricted access conditions.
• The Secure Access version (SN 7559) contains more detailed information and postcode sector geographies. Secure Access data are subject to further restricted access conditions, including the completion of a training course.

2020 and 2021 Disclaimer: Due to changes in the methodology of data collection, changes in travel behaviour and a reduction of data collected during 2020 and 2021, as a result of the coronavirus (COVID-19) pandemic, care should be taken when interpreting this data and comparing to other years, due to the small sample sizes. Please see the background documentation for further details of these changes.

2023 sample size: From January 2023 the number of households invited to take part in the National Travel Survey was increased, resulting in an increase to the sample size. For more information please see the technical report.

Data labels
Users should note that the SPSS and Stata files for 2024 have been converted from CSV format and do not currently contain variable or value labels. Complete metadata information can be found in the Excel Lookup table files and the NTS Data Extract User Guide within the documentation.

Latest edition information

For the fourteenth edition (November 2025), data and documentation for 2024 have been added to the study.

This table contains information regarding the mobility of the residents of the Netherlands aged 6 or older in private households, so excluding residents of institutions and homes. The table contains per person per day /year an overview of the average number of trips, the average distance travelled and the average time travelled. These are regular trips on Dutch territory, including domestic holiday mobility. The distance travelled is based on stage information. Excluded in this table is mobility based on series of calls trips. The mobility behaviour is broken down by personal characteristics, purposes of travel, gender, population and regions. The data used are retrieved from The Dutch National travel survey named Onderweg in Nederland (ODiN).

As of thf 5 July 2023 in the tables of 2018-2020 in some places dots (figure is unknown, insufficiently reliable or confidential) are replaced by empty cells (figure not applicable)

A methodological break has been identified in the 2024 ODiN file. During the analysis of the data from the "Onderweg in Nederland 2024" (ODiN) survey a methodological break was identified. Several changes were made to the survey in 2024, which likely had an unexpected effect on the 2024 ODiN figures. This means that the 2024 results are not readily comparable with those from previous years. For this reason, the 2024 figures are not being updated in the StatLine tables. More information about the methodological break is available in the ODiN 2024 Plausibility Report (see Chapter 4: "Onderwegen in Nederland" (ODiN) 2024 - Plausibility Report). Due to a revision of the ODiN files, the figures by motive for 2018 have been changed as of February 10, 2022, but the total number of motives in 2018 has remained the same. In 2019, the revision sometimes resulted in minor changes in travel time.

Data available from: 2018

Status of the figures: The figures in this table are final.

Changes as of 4 July 2024: The figures for year 2023 are added. Starting with the publication of 2023 data, the figures on people’s background will no longer be available. The data in the table has been replaced by dots. The data on background from previous years are still available.

When will new figures be published? More information will follow in 2026.

Latest edition information

For the second edition (September 2024), Wave 1 data has been updated, and data and documentation for Waves 2-10 have been added to the study.

Seasonally and non-seasonally adjusted estimates of completed international visits. Based on International Passenger Survey data.

Number of person-trips by duration of trip, main trip purpose and country or region of trip destination (x 1,000).

The Data Insight Newsletter is produced by the Product Management team to provide insights and updates to work undertaken by the service.This edition covers recent research analysis on congestion following major events at Villa Park, the acquisition of the National Travel Survey Special Licence version, and a project in collaboration with University of Warwick looking at predictive transport modelling.

Estimates of international visits with details on traveller age and sex, trip purpose, length, and spending. From the International Passenger Survey (IPS).

To recognize the valuable role of National Household Travel Survey (NHTS) data in the transportation research process and to facilitate repeatability of the research, users of NHTS data are asked to formally acknowledge the data source. Where possible, this acknowledgement should take place in the form of a formal citation, such as when writing a research report, planning document, on-line article, and other publications. The citation can be formatted as follows: U.S. Department of… See the full description on the dataset page: https://huggingface.co/datasets/manhan/NHTS-2017-JSON.

Abstract

Although the first case of COVID-19 in Uganda was confirmed on the 22nd of March, the Government of Uganda had undertaken several actions starting on the 18th of March, including travel restrictions, 14-day quarantine for all international arrivals, and cancellation of all international conferences and public gatherings, including, but not limited to, religious services, weddings, and concerts. On the 30th of March, the President declared a nationwide curfew from 7 pm to 6:30 am; banned public transportation; and instituted strict regulations for the movement of government and private vehicles. Vaccination campaigns began in March 2021. Uganda re-entered a partial lockdown starting on June 7th, 2021. The second lockdown was slightly longer than the first one but less strict. A presidential directive banned travel between districts, restricted gatherings, and suspended schools. As governments implement various containment measures, it is important to understand how households in the country are affected and responding to the evolving crises, so that policy responses can be designed well and targeted effectively to reduce the negative impacts on household welfare. The original objective of the UHFPS was to monitor the socio-economic effects of COVID-19 and its related restrictions. The survey has followed the evolving COVID-19 pandemic in real-time and contributed to filling critical gaps in information that could be used by the government and stakeholders to help design policies to mitigate the negative impacts on its population. Lately, the objective of the UHFPS has unfolded to track the socioeconomic effects of global crises. A new phase of the survey was inaugurated to monitor economic sentiments and the socioeconomic impact of other shocks such as the Russia-Ukraine war and extreme weather events. The UHFPS is proposed to have multiple rounds to accommodate the evolving nature of the crisis. Questionnaires are revised before each new round of surveys to adapt to crises develops. The final sample for the first round of the survey is 2,257 households selected from those of the Uganda National Panel Survey (UNPS) wave 8 that had a phone number for at least one household member or one reference individual. All households not explicitly refusing to participate in the survey are reinterviewed in the consequent rounds. The final sample for round 2 is 2199; whereas the final sample for round 3 and round 4 counts 2147 and 2136 households respectively. In Round 5, 2122 households were interviewed. In Round 6, 2100 households and Round 7, 1950 were interviewed. Round 8 has seen 1,881 households being interviewed. Round 9 counts 1871 households, Round 10 - 1668, Round 11 - 1666 , Round 12 - 1783, Round 13 - 1765, Round 14 - 1838, Round 15 - 1729, Round 16 - 1,795 , and Round 17 - 1,761 households. Weights are adjusted to be nationally representative in each round.

Geographic coverage

National

Analysis unit

• Households
• Individuals

Sampling procedure

The sample of the COVID-19 impact survey is a subsample of the Uganda National Panel Survey (UNPS) 2019/20 (wave 8). UNPS2019/20 interviewed 3098 households of which 2333 were in the urban area and 745 in the rural area. In the panel, households are asked to provide a phone number either of their own or of a reference person (e.g. neighbor, friends...) to be reached in case the households move from their original sample location. In wave 8, 2386 households provided a phone number. To obtain a nationally representative sample for the COVID-19 Impact Survey, a sample size of approximately 1,800 successfully interviewed households was targeted. However, to reach that target, a larger pool of households needed to be selected from the frame due to the non-contact and non-response common for telephone surveys. Thus, all the households in the 2019/20 round of the UNPS that had phone numbers for at least one household member, or a reference individual were included in the initial sample. This consisted of 2227 households, which is 72% of the UNPS 2019/20 sample. Starting in round 13 (phase 3), the original UHFPS sample was complimented with a refresher sample drawn from the Uganda National Household Survey (UNHS) 2020. The sample refresher intended to overcome the high nonresponse rates accrued with the succession of rounds of data collection and due to respondents’ fatigue. The target of the new additional sample was to reestablish the sample size from the first round of the survey, therefore 650 new households were drawn from the UNHS proportionally to attrition rates in the original strata.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

The COVID-19 survey had consisted of one main Household questionnaire per each round. The questionnaire is divided into several sections and the number of questions in each section varied accordingly.

ROUND 1: The Household Questionnaire for Round 1 provides information on demographics; knowledge and false beliefs regarding the spread of COVID-19; behavior and social distancing; access to basic services; employment; Agriculture; income loss; food security; concerns; coping/shocks; and social safety nets.

ROUND 2: The Household Questionnaire for Round 2 provides information on demographics; Perceptions Re: Efficacy of Government Actions; behavior and social distancing; access to basic services; employment; Agriculture; non-agricultural income; income loss; food security; credit; concerns; and social safety nets.

ROUND 3: The Household Questionnaire for Round 3 provides information on demographics; Perceptions Re: Efficacy of Government Actions behavior and social distancing; access to basic services; employment; Agriculture; non-agricultural income; income loss; food security; credit; concerns; and social safety nets.

ROUND 4: The Household Questionnaire for Round 4 provides information on demographics; Education; Perceptions Re: Efficacy of Government Actions behavior and social distancing; access to basic services; employment; Agriculture; non-agricultural income; income loss; food security; concerns; and social safety nets.

ROUND 5: The questionnaire for Round 5 provides information on demographics; Education; Childhood development (parental support at home); behavior and social distancing; access to basic services; assets; employment; Agriculture; non-agricultural income; income loss; food security; concerns; and social safety nets.

ROUND 6: The questionnaire for Round 6 provides information on demographics; Education; Childhood development (child behaviour and child discipline); behavior and social distancing; access to basic services; employment of the respondent and other household member; assets; Agriculture; non-agricultural income; income loss; food security; concerns; shocks and coping strategies; and social safety nets.

ROUND 7: The questionnaire for Round 7 provides information on demographics; Education; knowledge regarding the spread of COVID-19; perception on government action against COVID-19; behavior and social distancing; access; employment of the respondent and other household member; agriculture; non-agricultural business; food security; concerns; and social safety nets.

ROUND 8: The questionnaire for Round 8 provides the following information : Interview information; Interview result; Household Roster; Phone number roster; Education; Behavior and Social distancing; Access to essential goods and services; Access to health services; Employment respondent; Non-Agricultural Business; Income loss; Credit in the last 12 months; Coping Strategies; Food Insecurity Experience Scale; Food prices; Economic Sentiment; Climate.

ROUND 9: The questionnaire for Round 9 provides the following information : Interview information; Interview result; Household Roster; Health access - Main respondent; Vaccines - Main Respondent; Access to Essential Goods and Services; Access to Health services; Employment respondent; Non-Farm Enterprise; Concerns -Main Respondent; Commodities Prices; Food Insecurity Experience Scale.

ROUND 10: The questionnaire for Round 10 provides the following information : Interview information; Interview result; Household Roster; Health access - Main respondent; Source of income; Income loss; Access to Health services; Employment respondent; Non-Farm Enterprise; Commodities Prices; Food Insecurity Experience Scale; Safety nets; Economic Sentiments; Concerns on Ebola Virus; Parish Development Model; Concerns (Mental Health).

ROUND 11: The questionnaire for Round 11 provides the following information : Cover; Household roster update; Perceptions Re: Efficacy of Government Actions; Access; Health -Access main respondent; Behavior and Social Distancing; Employment respondent; Non_x0002_Agricultural Business; Income Loss; Commodities prices; Food Security; Concerns Regarding COVID-19/Ebola Impacts; Safety Nets; Agriculture : Post-planting;Crop harvest; Livestock; Interview Result.

ROUND 12: The questionnaire for Round 12 provides the following information : Interview information; Interview result; Household Roster; Health access; Behavior and Social distancing; Access to Health services; Employment respondent; Non-Farm Enterprise; Source of income; Income loss; Access to Credit and Loan characteristics; Food Insecurity Experience Scale; Concerns on Ebola Virus; Coping strategies; Commodity prices; Economic Sentiments; E-commerce and delivery services for food and E-commerce and online services.

ROUND 13: The questionnaire for Round 13 provides the following information : Interview information; Interview result; Household roster; Health access; Yellow fever; Access to essential goods and services; Employment respondent; Food Insecurity Experience

National and subnational mid-year population estimates for the UK and its constituent countries by administrative area, age and sex (including components of population change, median age and population density).

The survey was conducted in national languages using the CATI (Computer-Assisted Telephone Interviewing) technique to examine respondents' preferences in choosing the modes of transport for five categories of key activities (commuting to work or school, work-related travel, daily/small purchases, large purchases, travel related to children's activities, and other regular activities such as hobbies or religious purposes) in the Czech Republic, Poland, Slovakia, and in Hungary. Several questions explored respondents' attitudes towards transport-related statements. The survey was conducted from December 20, 2023, to January 16, 2024. The study considered the population of adults living in V4 countries aged 18-74. The following number of interviews were collected: 1067 interviews from Poland, 513 interviews from the Czech Republic, 534 interviews from Hungary, and 501 interviews from Slovakia. Stratified random sampling was used according to gender, age, professional activity, and domicile. Post-stratification weights were used for the following criteria: age, gender, region, and size of the place of residence. Hence, the obtained research samples are representative of the countries’ inhabitants and allow for conclusions regarding general populations.The description of variables is provided in the file metadata_variables_codes.xlsx.

According to Cognitive Market Research, the global Pet Relocation market size was USD 1965.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 10.60% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 786.0 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.8% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 589.5 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 452.0 million in 2024 and will grow at a compound annual growth rate (CAGR) of 12.6% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 98.26 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.0% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 39.30 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.3% from 2024 to 2031.
The Personal type category is the fastest growing segment of the Pet Relocation industry

Market Dynamics of Pet Relocation Market

Key Drivers for Pet Relocation Market

Growing Pet Ownership to Boost Market Growth

The rising trend of pet ownership globally, particularly in both developed and developing nations, is a key market driver. According to the 2023-2024 National Pet Owners Survey by the American Pet Products Association (APPA), approximately 66% of U.S. households, or around 86.9 million families, now own a pet. This marks an increase from 56% in 1988 when the survey was first conducted. In 2023, U.S. pet industry spending reached $147 billion, reflecting a 7.5% rise from $136.8 billion in 2022. As pet ownership grows, so does the demand for services that address their needs, including pet relocation. Pets are increasingly viewed as family members, prompting owners to prioritize their well-being during moves. This emotional bond fuels the demand for safe and professional pet transportation services.

Increase in the Adoption of pet travel services to Drive Market Growth

The growing adoption of pet travel services is expected to boost market revenue. According to the International Pet and Animal Transportation Association (IPATA), millions of pets and live animals are transported by air globally annually. Remarkably, less than 0.01% of pets experience incidents during air travel, meaning over 99.99% are safely reunited with their families. Additionally, the increasing number of tourists traveling with their pets is a key market driver. For instance, 53% of travelers take vacations with their pets, contributing to the rising demand for pet-friendly accommodations. It's estimated that 2 million domestic animals fly on commercial flights annually, with 37% of pet owners planning 3 to 5 trips, and 31% intending to travel with their pets six or more times a year. As travel becomes more of a lifestyle choice, more people seek destinations and experiences that cater to pets, further fuelling this trend.

Restraint Factor for the Pet Relocation Market

High Cost of Pet Relocation Services Will Limit Market Growth

One of the main challenges for many pet owners is the high cost associated with professional pet relocation services. These expenses often include transportation fees, customs charges, veterinary health checks, quarantine costs, and specialized handling, making such services unaffordable for many, especially in developing regions. Additionally, long-distance pet relocation, particularly for international travel, can be highly stressful for pets. Extended confinement in carriers, exposure to unfamiliar environments, and lengthy flights or ground transport can lead to emotional and physical distress. This can discourage owners from relocating their pets, especially if the pets are elderly, have health issues, or are prone to stress.

Impact of Covid-19 on the Pet Relocation Market

The imposition of international travel bans, border closures, and lockdowns across multiple countries severely disrupted pet relocation services. Flights were canceled or limited, which reduced the availability of transportation options for pets. This led to significant delays and cancellations of pet relocations during the peak of the pandemic. The reduced av...