Monthly U.S. citizen departures are collected and reported in Tourism Industries U.S. International Air Travel Statistics (I-92 data) Program.

This statistic displays the results of a survey on the share of individuals in Great Britain who used the internet in order to make travel arrangements in 2019, by age and gender. The survey was conducted via interviews and gathered data from 1,800 households, providing a nationally representative sample of households in Great Britain. Households were sampled monthly and estimates are subject to sampling variability. Making travel arrangements online was most common among the 25 to 34 year old demographic, with 57 percent of individuals within this group having made travel arrangement purchases (eg transport tickets, car hire) online in 2019. The smallest proportion of people who did so was among people 65 years and older. A forecast of the digital travel sales worldwide predicts that online travel arrangement purchases will increase. Travel arrangements category was the fifth most popular type of goods and services purchased online in Great Britain in 2017. Further information on the travel market in the United Kingdom can be found in the Dossier: Holiday travel in the United Kingdom.

United States US: International Tourism: Number of Departures data was reported at 73,453,000.000 Person in 2015. This records an increase from the previous number of 68,176,000.000 Person for 2014. United States US: International Tourism: Number of Departures data is updated yearly, averaging 61,061,000.000 Person from Dec 1995 (Median) to 2015, with 21 observations. The data reached an all-time high of 73,453,000.000 Person in 2015 and a record low of 51,285,000.000 Person in 1995. United States US: International Tourism: Number of Departures data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Tourism Statistics. International outbound tourists are the number of departures that people make from their country of usual residence to any other country for any purpose other than a remunerated activity in the country visited. The data on outbound tourists refer to the number of departures, not to the number of people traveling. Thus a person who makes several trips from a country during a given period is counted each time as a new departure.; ; World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.; Gap-filled total;

A 2024 survey of adults in the United States found that 19 percent of respondents aged 30 to 44 traveled annually internationally or to other U.S. regions. In contrast, 29 percent of individuals in the same age group reported that they never traveled.

How many people are staying at home? How far are people traveling when they don’t stay home? Which states and counties have more people taking trips? The Bureau of Transportation Statistics (BTS) now provides answers to those questions through our new mobility statistics.

The Trips by Distance data and number of people staying home and not staying home are estimated for the Bureau of Transportation Statistics by the Maryland Transportation Institute and Center for Advanced Transportation Technology Laboratory at the University of Maryland. The travel statistics are produced from an anonymized national panel of mobile device data from multiple sources. All data sources used in the creation of the metrics contain no personal information. Data analysis is conducted at the aggregate national, state, and county levels. A weighting procedure expands the sample of millions of mobile devices, so the results are representative of the entire population in a nation, state, or county. To assure confidentiality and support data quality, no data are reported for a county if it has fewer than 50 devices in the sample on any given day.

Trips are defined as movements that include a stay of longer than 10 minutes at an anonymized location away from home. Home locations are imputed on a weekly basis. A movement with multiple stays of longer than 10 minutes before returning home is counted as multiple trips. Trips capture travel by all modes of transportation. including driving, rail, transit, and air.

The daily travel estimates are from a mobile device data panel from merged multiple data sources that address the geographic and temporal sample variation issues often observed in a single data source. The merged data panel only includes mobile devices whose anonymized location data meet a set of data quality standards, which further ensures the overall data quality and consistency. The data quality standards consider both temporal frequency and spatial accuracy of anonymized location point observations, temporal coverage and representativeness at the device level, spatial representativeness at the sample and county level, etc. A multi-level weighting method that employs both device and trip-level weights expands the sample to the underlying population at the county and state levels, before travel statistics are computed.

These data are experimental and may not meet all of our quality standards. Experimental data products are created using new data sources or methodologies that benefit data users in the absence of other relevant products. We are seeking feedback from data users and stakeholders on the quality and usefulness of these new products. Experimental data products that meet our quality standards and demonstrate sufficient user demand may enter regular production if resources permit.

United States US: International Tourism: Number of Arrivals data was reported at 75,608,000.000 Person in 2016. This records a decrease from the previous number of 77,465,000.000 Person for 2015. United States US: International Tourism: Number of Arrivals data is updated yearly, averaging 51,107,500.000 Person from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 77,465,000.000 Person in 2015 and a record low of 41,218,000.000 Person in 2003. United States US: International Tourism: Number of Arrivals data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Tourism Statistics. International inbound tourists (overnight visitors) are the number of tourists who travel to a country other than that in which they have their usual residence, but outside their usual environment, for a period not exceeding 12 months and whose main purpose in visiting is other than an activity remunerated from within the country visited. When data on number of tourists are not available, the number of visitors, which includes tourists, same-day visitors, cruise passengers, and crew members, is shown instead. Sources and collection methods for arrivals differ across countries. In some cases data are from border statistics (police, immigration, and the like) and supplemented by border surveys. In other cases data are from tourism accommodation establishments. For some countries number of arrivals is limited to arrivals by air and for others to arrivals staying in hotels. Some countries include arrivals of nationals residing abroad while others do not. Caution should thus be used in comparing arrivals across countries. The data on inbound tourists refer to the number of arrivals, not to the number of people traveling. Thus a person who makes several trips to a country during a given period is counted each time as a new arrival.; ; World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.; Gap-filled total;

Monthly estimates of overseas residents’ visits and spending and visits and spending abroad by UK or Great Britain residents. Also includes data on purpose of visit, area visited by UK residents and area of residence for overseas residents.

The Latin America Travel and Tourism Market Report is Segmented by Type (International Tourism and Domestic/Local Tourism), Purpose (Adventure Tourism, Business Travel, Conference or Seminar Travel, and Family and Friends Visit), and Country (Brazil, Mexico, Colombia, Chile, Argentina, and Rest of Latin America). The Report Offers Market Size and Forecasts in Value (USD) for all the Above Segments.

Monthly and annual Canadian arrivals of one or more nights to the U.S. are provided by Statistics Canada for analysis and reporting. A limited amount of U.S. resident travel to Canada is also reported at a monthly level. Monthly level data are reported by mode of transportation with a 3-4 month lag time. Annual data are made available to Tourism Industries at the end of May and a written report with graphics and spreadsheets is generally available in the late summer. The annual report analyzes travelers by province of origin, season of travel, mode of transportation, etc.

A September 2024 survey focusing on the travel intentions of Europeans showed that roughly 78 percent of respondents aged 35 to 44 planned to likely or very likely take an overnight trip domestically or in Europe in the following six months. Meanwhile, around 64 percent of surveyed travelers aged 18 to 24 reported the same.

Quarterly estimates of overseas residents’ visits and spending. Also includes data on nights, purpose, region of UK visited and mode of travel. Breakdowns by nationality and area of residence are covered. This dataset is published quarterly. The versions published for Quarters 1 (Jan to Mar), 2 (Apr to June) and 3 (July to Sept) are on a separate webpage under the name "Estimates of overseas residents' visits and spending".

Sweden SE: International Tourism: Number of Arrivals data was reported at 6,782,000.000 Person in 2016. This records an increase from the previous number of 6,482,000.000 Person for 2015. Sweden SE: International Tourism: Number of Arrivals data is updated yearly, averaging 4,702,500.000 Person from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 6,782,000.000 Person in 2016 and a record low of 2,310,000.000 Person in 1995. Sweden SE: International Tourism: Number of Arrivals data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sweden – Table SE.World Bank.WDI: Tourism Statistics. International inbound tourists (overnight visitors) are the number of tourists who travel to a country other than that in which they have their usual residence, but outside their usual environment, for a period not exceeding 12 months and whose main purpose in visiting is other than an activity remunerated from within the country visited. When data on number of tourists are not available, the number of visitors, which includes tourists, same-day visitors, cruise passengers, and crew members, is shown instead. Sources and collection methods for arrivals differ across countries. In some cases data are from border statistics (police, immigration, and the like) and supplemented by border surveys. In other cases data are from tourism accommodation establishments. For some countries number of arrivals is limited to arrivals by air and for others to arrivals staying in hotels. Some countries include arrivals of nationals residing abroad while others do not. Caution should thus be used in comparing arrivals across countries. The data on inbound tourists refer to the number of arrivals, not to the number of people traveling. Thus a person who makes several trips to a country during a given period is counted each time as a new arrival.; ; World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.; Gap-filled total;

Customized Travel Market Size And Forecast

Customized Travel Market size is growing at a moderate pace with substantial growth rates over the last few years and is estimated that the market will grow significantly in the forecasted period i.e. 2024 to 2031.

Global Customized Travel Market Drivers

The market drivers for the Customized Travel Market can be influenced by various factors. These may include:

Customer Demand For Personalisation: Travellers are looking for experiences that are more distinctive and customised to fit their values, interests, and preferences. The customised travel market is largely driven by this desire for individualised travel experiences.

Technological Developments: Artificial intelligence, big data analytics, and machine learning, in particular, have made it possible for travel agencies to collect and examine enormous volumes of information about customer preferences and behaviour. Customising travel experiences is made easier with this data-driven approach, which includes personalised recommendations and itinerary planning.

The Emergence Of Digital Platforms: Travellers may now more easily plan, arrange, and reserve personalised itineraries thanks to travel applications, online travel agencies, and other digital platforms. These sites frequently provide tools and features that let users customise their trips according to their hobbies, spending limit, and departure and arrival dates.

Consumer Preference Shift: Experience travel is becoming more and more popular than typical mass tourism. More and more tourists are looking for genuine, immersive experiences that let them engage with the people, environment, and culture of the place they are visiting. There is now a greater need for personalised travel alternatives that satisfy the changing interests of consumers.

The Rise Of Millennial And Gen Z Travellers: When making travel plans, millennials and Gen Z travellers place a high value on real experiences. This market segment is expanding because they are more inclined to look for personalised travel experiences that cater to their unique interests and tastes.

Changing Lifestyle And Demographics: The need for personalised travel services is fueled by changes in the traveler’s demographics, including an ageing population with greater discretionary income and a desire for meaningful experiences abroad. Furthermore, new lifestyle options like flexible scheduling and remote employment have made it possible to take longer and more customised trips.

Enhanced Innovation And Competition: As the market for personalised travel expands, travel agencies are seeing more competition. The customised travel market is growing because of the competition, which spurs innovation in product offerings, technological advancements, and client experiences.

Environmental And Sustainability Concerns: A growing number of travellers are looking for environmentally friendly and sustainable travel options due to worries about how travel may affect the environment. In response to this need, customised travel companies are providing sustainable tourist experiences, carbon offset plans, and environmentally friendly lodging.

International tourism receipts are expenditures by international inbound visitors, including payments to national carriers for international transport. These receipts include any other prepayment made for goods or services received in the destination country. They also may include receipts from same-day visitors, except when these are important enough to justify separate classification. For some countries they do not include receipts for passenger transport items. Data are in current U.S. dollars.

Sweden SE: International Tourism: Expenditures: for Travel Items data was reported at 14.480 USD bn in 2016. This records an increase from the previous number of 14.410 USD bn for 2015. Sweden SE: International Tourism: Expenditures: for Travel Items data is updated yearly, averaging 10.089 USD bn from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 15.823 USD bn in 2014 and a record low of 5.448 USD bn in 1995. Sweden SE: International Tourism: Expenditures: for Travel Items data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sweden – Table SE.World Bank.WDI: Tourism Statistics. International tourism expenditures are expenditures of international outbound visitors in other countries. The goods and services are purchased by, or on behalf of, the traveler or provided, without a quid pro quo, for the traveler to use or give away. These may include expenditures by residents traveling abroad as same-day visitors, except in cases where these are so important as to justify a separate classification. Excluded is the international carriage of travelers, which is covered in passenger travel items. Data are in current U.S. dollars.; ; World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.; Gap-filled total;

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)

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? Figures for the 2024 research year will be published in mid-2025

About this dataset

Context

The dataset tabulates the De Tour Village population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for De Tour Village. The dataset can be utilized to understand the population distribution of De Tour Village by age. For example, using this dataset, we can identify the largest age group in De Tour Village.

Key observations

The largest age group in De Tour Village, MI was for the group of age 65 to 69 years years with a population of 36 (15.58%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in De Tour Village, MI was the Under 5 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the De Tour Village is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of De Tour Village total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for De Tour Village Population by Age. You can refer the same here

Explore the statistics for Travel eCommerce in 2025, including store count by region and platform, estimated sales amount by platform and region, products sold by platform and region, and total app spend by platform and region. Gain insights into regional preferences, market penetration, consumer trends, and technological investments within the Travel sector. Discover the leading regions and platforms, as well as the dynamics of sales and product volumes. Stay informed about the evolving landscape of Travel online stores for a comprehensive understanding of the market.

The chart provides an insightful analysis of the estimated sales amounts for Travel stores across various platforms. WooCommerce stands out, generating a significant portion of sales with an estimated amount of $24.11B, which is 37.57% of the total sales in this category. Following closely, Custom Cart accounts for $23.27B in sales, making up 36.26% of the total. Shopify also shows notable performance, contributing $6.42B to the total sales, representing 10.00%. This data highlights the sales dynamics and the varying impact of each platform on the Travel market.

AC: WK: Tourist: Foreigners: Food & Beverages data was reported at 1,067.590 THB/Day in 2016. This records an increase from the previous number of 964.920 THB/Day for 2015. AC: WK: Tourist: Foreigners: Food & Beverages data is updated yearly, averaging 882.215 THB/Day from Dec 2011 (Median) to 2016, with 6 observations. The data reached an all-time high of 1,067.590 THB/Day in 2016 and a record low of 797.520 THB/Day in 2012. AC: WK: Tourist: Foreigners: Food & Beverages data remains active status in CEIC and is reported by Department of Tourism. The data is categorized under Global Database’s Thailand – Table TH.Q013: Tourism Statistics.