Explore detailed tourism expenditure data in Saudi Arabia, including total expenditure, visits to relatives and friends, holidays, shopping, business conferences, and more. Obtain valuable insights and statistics for SAMA Annual reports.

Total Expenditure, Visits To Relatives And Friends, Annually, Holidays and Shopping, Other Purposes, Religious Purposes, Business and Conferences, Visitors, Expenditure, Toursim Statistics, SAMA Annual

Saudi Arabia Follow data.kapsarc.org for timely data to advance energy economics research..Notes:Include data on overnight visitors only.

This paper uses text data mining to identify long-term developments in tourism academic research from the perspectives of thematic focus, geography, and gender of tourism authorship. Abstracts of papers published in the period of 1970–2017 in high-ranking tourist journals were extracted from the Scopus database and served as data source for the analysis. Fourteen subject areas were identified using the Latent Dirichlet Allocation (LDA) text mining approach. LDA integrated with GIS information allowed to obtain geography distribution and trends of scholarly output, while probabilistic methods of gender identification based on social network data mining were used to track gender dynamics with sufficient confidence. The findings indicate that, while all 14 topics have been prominent from the inception of tourism studies to the present day, the geography of scholarship has notably expanded and the share of female authorship has increased through time and currently almost equals that of male authorship.

The data in this article was obtained from field surveys and through online questionnaires to obtain perception values and expectation values from visitors in tea plantations to assess the level of visitor satisfaction with the quality of tea plantation services. In this survey we researchers obtained 98 respondents. The category of respondents is people who have visited the tea plantation tourist attractions once. The data of this article can be presented to review management knowledge, problem solving and to reveal new insights from survey results.

This dataset presents statistics regarding tourism to specific Local Government Areas (LGA) around Australia. The LGAs covered in the data are a subset of the LGA boundaries classified in the 2018 Australian Statistical Geography Standard (ASGS). The data presents statistics for reason for visit, travel party type and accommodation details for trips to the specified LGAs by their location of origin and visit duration. The data values are representative of a yearly average based on the four years of: 2015, 2016, 2017 and 2018. Tourism Research Australia (TRA) first developed Local Government Area tourism profiles in 2007 to assist industry and Government decision making and to identify and support investment opportunities, particularly in regional Australia. The latest profiles provide an update for over 200 Local Government Areas. Data are drawn from TRA's International Visitor Survey (IVS) and National Visitor Survey (NVS), along with demographic and business data from the Australian Bureau of Statistics (ABS). Profiles were only prepared for Local Government Areas with adequate IVS and NVS sample to present robust results. Further, data are averaged over four years, which minimises the impact of variability in estimates from year to year, and provides for more robust volume estimates. For more information please visit TRA. Please note: AURIN has spatially enabled the original data.

Explore the dataset on expenditure on domestic tourism trips in Saudi Arabia by purpose of visit. Includes information on total expenditure, visits to relatives and friends, holidays and shopping, religious purposes, business and conferences, and more.

Total Expenditure, Visits To Relatives And Friends, Annually, Holidays and Shopping, Other Purposes, Religious Purposes, Business and Conferences, Expenditure, Tourism, Business, visitors, Tourism Statistics, SAMA Annual

Saudi ArabiaFollow data.kapsarc.org for timely data to advance energy economics research..

Abstract This paper assesses the image of tourist destinations as products in light of the experience theory, in order to evaluate relationships between both constructs. A scale is set forth to measure the image of coastal destinations, with different attractions, and to analyze the internal arrangement of the imaginary factors in light of the experience theory and the destinations as tourist products. The research is exploratory and descriptive with quantitative approach, that surveyed potential Brazilian tourists who were asked to choose one (among eight) national coastal destinations to evaluate. A non-probabilistic sample of 178 consumers of different ages and income levels from various Brazilian states was surveyed. This work advances over previous theory, introducing an innovative way to see the image of destinations in the light of two factors that affect the decision to visit or not to visit a place: the arrangement of destinations as touristic products, and the experience expected to experiment when visiting the destinations.

Abstract Although the tourist experience has been studied in-depth, the need for new methods for measuring it from a holistic perspective remains latent. This research aims to measure the tourist experience in Quito through Likert-type scales on a comprehensive set of dimensions and indicators proposed in the literature, and their graphic presentation through importance-performance analysis matrix. To do this, a multivariate analysis was carried out and a theoretical proposal of dimensions and indicators of tourism experience is validated. Thus, this study determines the importance of each dimension and the performance perceived in them by tourists, identifying the influential factors on tourist satisfaction. The study validates the theoretical model subjected to empirical verification and shows that the tourist experience in Quito is highly satisfactory and influenced by twenty key aspects. Finally, research determines that tourist's expectations in the dimensions: uniqueness, multisensory, rational quality, and personal enrichment, are balanced with what they obtained during their trip; on the other side, performance related to dimensions relational development and responsibility are perceived below their expectations.

VTC conducts research on an ongoing basis among travelers visiting the Commonwealth. This dataset contains Overnight trips of 50+ miles, one-way, with one or more nights away from home to Virginia during CY 2022 for the primary purpose of Visiting Friends & Family.

Comprehensive dataset of 3,206 Tourist information centers in Turkey as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

This dataset presents statistics regarding tourism to specific Local Government Areas (LGA) around Australia. The LGAs covered in the data are a subset of the LGA boundaries classified in the 2016 Australian Statistical Geography Standard (ASGS). The data presents statistics for reason for visit, travel party type and accommodation details for trips to the specified LGAs by their location of origin and visit duration. The data values are representative of a yearly average based on the four years of: 2013, 2014, 2015 and 2016. Tourism Research Australia (TRA) first developed Local Government Area tourism profiles in 2007 to assist industry and Government decision making and to identify and support investment opportunities, particularly in regional Australia. The latest profiles provide an update for over 200 Local Government Areas. Data are drawn from TRA's International Visitor Survey (IVS) and National Visitor Survey (NVS), along with demographic and business data from the Australian Bureau of Statistics (ABS). Profiles were only prepared for Local Government Areas with adequate International Visitor Survey (IVS) and National Visitor Survey (NVS) sample to present robust results. Further, data are averaged over four years, which minimises the impact of variability in estimates from year to year, and provides for more robust volume estimates. For more information please visit the Website of the TRA. Please note: AURIN has spatially enabled the original data.

The number of international tourist arrivals in Norway was forecast to continuously increase between 2024 and 2029 by in total 1.6 million arrivals (+28.57 percent). After the ninth consecutive increasing year, the arrivals is estimated to reach 7.22 million arrivals and therefore a new peak in 2029. Depicted is the number of inbound international tourists. According to World Bank this refers to tourists travelling to a country which is not their usual residence, whereby the main purpose is not work related and the planned visitation period does not exceed 12 months. The forecast has been adjusted for the expected impact of COVID-19.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).Find more key insights for the number of international tourist arrivals in countries like Iceland and Finland.

The Study of Women's Health Across the Nation (SWAN) is a multi-site longitudinal, epidemiologic study designed to examine the health of women during their middle years. The study examines the physical, biological, psychological, and social changes during this transitional period. The goal of SWAN's research is to help scientists, health care providers and women learn how mid-life experiences affect health and quality of life during aging. The data include questions about doctor visits, medical conditions, medications, treatments, medical procedures, relationships, smoking, and menopause related information such as age at pre-, peri- and post-menopause, self-attitudes, feelings, and common physical problems associated with menopause. The study is co-sponsored by the National Institute on Aging (NIA), the National Institute of Nursing Research (NINR), the National Institutes of Health (NIH), and the NIH Office of Research on Women's Health. The study began in 1994. Between 1997 and 1999, 2,881 of the 3,302 women that joined SWAN were seen for their first follow-up visit. The research centers are located in the following communities: Detroit, MI; Boston, MA; Chicago, IL; Oakland and Los Angeles, CA; Newark, NJ; and Pittsburgh, PA. SWAN participants represent five racial/ethnic groups and a variety of backgrounds and cultures.

The number of international tourist arrivals in Sweden was forecast to continuously increase between 2024 and 2029 by in total 1.1 million arrivals (+16.08 percent). According to this forecast, in 2029, the arrivals will have increased for the ninth consecutive year to 7.95 million arrivals. Depicted is the number of inbound international tourists. According to World Bank this refers to tourists travelling to a country which is not their usual residence, whereby the main purpose is not work related and the planned visitation period does not exceed 12 months. The forecast has been adjusted for the expected impact of COVID-19.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).Find more key insights for the number of international tourist arrivals in countries like Iceland and Finland.

The number of international tourist arrivals in Asia was forecast to continuously increase between 2024 and 2029 by in total 174.7 million arrivals (+33.49 percent). After the ninth consecutive increasing year, the arrivals is estimated to reach 696.34 million arrivals and therefore a new peak in 2029. Depicted is the number of inbound international tourists. According to World Bank this refers to tourists travelling to a country which is not their usual residence, whereby the main purpose is not work related and the planned visitation period does not exceed 12 months. The forecast has been adjusted for the expected impact of COVID-19.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).Find more key insights for the number of international tourist arrivals in countries like North America and Caribbean.

Comprehensive dataset of 3,778 Tourist information centers in Indonesia as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

The international tourist departures in Norway were forecast to continuously increase between 2024 and 2029 by in total two million departures (+24.84 percent). After the ninth consecutive increasing year, the number of depatures is estimated to reach 10.01 million departures and therefore a new peak in 2029. According to Worldbank, international tourist departures can be defined as departures from the country of usual residence to any other country for any purpose other than work. The forecast has been adjusted for the expected impact of COVID-19.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).Find more key insights for the international tourist departures in countries like Denmark and Finland.

The international tourist departures in Sweden were forecast to increase between 2024 and 2029 by in total 1.7 million departures (+10.1 percent). This overall increase does not happen continuously, notably not in 2028 and 2029. The number of depatures are estimated to amount to 18.55 million departures in 2029. According to Worldbank, international tourist departures can be defined as departures from the country of usual residence to any other country for any purpose other than work. The forecast has been adjusted for the expected impact of COVID-19.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).Find more key insights for the international tourist departures in countries like Denmark and Finland.

Raw data of research entitled "Determinants of Continuous Visiting Behavior to Palawan, Philippines: Integrating Uncertainty Reduction Theory and Expectation Confirmation Theory"

Tourism flow is a significant tourism phenomenon and a hot topic of tourism geography research. This study, based on the perspective of combining ‘virtual’ and ‘reality’, takes 13 classic red tourism scenic areas in Shaanxi province as examples. It constructs a multi-source data network attention evaluation index and adopts social network analysis method to explore the network attention and tourism flow of the study case, and further investigates the relationship between the two. The study shows that: (1) The case sites have formed a spatial layout of the ‘dense in the north and sparse in the south’. Among them, the total number of attractions in northern Shaanxi is the largest and most are concentrated in Yan’an; the total number of attractions in southern Shaanxi is the smallest and most scattered. (2) The overall network attention of the case sites is low, and there is variability in network attention of different types of tourist attractions, among which network attention of the attractions in Yan’an City is high. (3) The network structure of tourism flow in the case has the spatial characteristics of low density, ‘one level and multicore’ and significant small network groups. (4) There are correlations and differences between network attention and tourism flow in the sites in question. Based on the differences between them, the attractions are classified into four types: high-high, high-low, low-high and low-low. In response to the above findings, this study proposes the principle of ‘precision identification and classification’, and proposes targeted development strategies such as creating high-quality regional tourist routes, promoting the digital development of tourist attractions, and innovating the ways to promote attractions. Methods Based on the previous analysis, there are primarily two research methods for studying network attention. The first method is based on Baidu index, while the second method involves constructing network attention using multiple sources of data.However, when the research area encompasses multiple tourism resources, it is difficult to obtain comprehensive and reliable data solely through Baidu index. Moreover, due to the multitude of tourism resources in this study, the reliability and accuracy of using a single data source are relatively low.Therefore, it is necessary to construct a network attention index for case studies. Based on the reference to previous research and considering the comprehensiveness, accuracy, and availability of data, this study selected five Chinese social platforms, namely Ctrip, WeChat, Baidu, 360, and Mafengwo, as the sources of network attention data (all data were collected until January 1, 2023.).The specific steps are as follows: firstly, data collection is conducted using range retrieval methods on various platforms to establish a retrieval database (Table 1). Finally, the collected data is organized and categorized to obtain the raw data of network attention.The data on tourist flow is sourced from Mafengwo and Qunar platforms (all data retrieved as of January 1, 2023.). Building upon existing research [39], to ensure the integrity of the tourist flow network structure, non-red attractions in the tourist flow routes were retained, and the aforementioned data was transformed into directed flow data between attractions. Ultimately, 468 valid origin-destination (O-D) data were obtained.

The Strawberry Music Festival, a local event in China, has been hosted in major cities nationwide since early 2024. Its growth has not only increased brand recognition but also stimulated economic and cultural development in its host cities. The festival’s themes of "spring, romance, and love" reflect attitudes and cultural ideals that resonate with many music enthusiasts, particularly the youth.

The research was conducted in Shenyang, Liaoning Province, a city known for its rich history, modern urban style, and thriving music scene. The 2023 Shenyang Strawberry Music Festival, branded as "Hello, Shenyang!" spanned two days and attracted over 40,000 attendees with its impressive lineup, striking stage design, and four vibrant performances. Approximately half of the visitors traveled from other cities, bringing a substantial boost to Shenyang's cultural, tourism, and economic sectors. This study focused on participants of the 2023 Shenyang Strawberry Music Festival. At the festival's end, researchers used convenience sampling at the exits to recruit departing attendees for data collection, a process that took 20 to 25 minutes per participant. Only individuals aged 18 and older were included in the study. Following the recommendation of a minimum of 200 samples for structural equation modeling, we collected 673 usable responses, exceeding the suggested sample size for robust data analysis.