Ttal travel and tourism expenditure worldwide amounted to over ***** trillion U.S. dollars in 2024. That year, leisure trips accounted for around ** percent of global travel and tourism spending.

Dataset's Source:

https://www.unwto.org/tourism-statistics/tourism-statistics-database

The most complete collection of statistical data on the tourist industry is provided by UN tourist, which methodically compiles tourism statistics from nations and territories worldwide.

Through a series of annual questionnaires, UN Tourism gathers data from nations in accordance with the United Nations-approved International Recommendations for Tourism Statistics (IRTS 2008) standard.

The provided UN Tourism dataset comprises multiple files, each focusing on a specific aspect of tourism data. Below is a detailed description of the columns found in each of these datasets. Please note that the "INDEX" column appears to be a sequential identifier, and years (e.g., 1995-2022) represent annual data for various indicators across the datasets.

Domestic Tourism - Trips

This dataset contains information related to domestic tourism trips.

C., S., C. & S.: These columns likely represent categorization or classification codes for the data entries. 'C.' could stand for Country Code, 'S.' for Series, and 'C. & S.' for a combined Country and Series identifier.

Basic data and indicators: This column describes the specific tourism indicator being measured (e.g., 'Total trips', 'Overnights visitors (tourists)', 'Same-day visitors (excursionists)').

Units: The unit of measurement for the data (e.g., 'Thousands').

Notes: Any specific notes or disclaimers related to the data for that row.

1995 - 2022: These columns represent the recorded values for the respective tourism indicators for each year.

Domestic Tourism - Accommodation

This dataset provides statistics on accommodation used for domestic tourism.

C., S., C. & S.: Similar to the "Trips" sheet, these are likely categorization or classification codes.

Basic data and indicators: This column specifies the type of accommodation data (e.g., 'Guests', 'Overnights' in total, or specifically for 'Hotels and similar establishments').

Units: The unit of measurement for the data (e.g., 'Thousands').

Notes: Any specific notes or disclaimers related to the data for that row.

1995 - 2022: These columns represent the recorded values for the accommodation indicators for each year.

Inbound Tourism - Arrivals

This dataset details the number of international tourist arrivals.

C., S., C. & S.: Categorization or classification codes.

Basic data and indicators: This column describes the type of arrival data (e.g., 'Total arrivals', 'Overnights visitors (tourists)', 'Same-day visitors (excursionists)', and 'of which, cruise passengers').

Units: The unit of measurement for the data (e.g., 'Thousands').

Notes: Any specific notes or disclaimers related to the data for that row.

Series: This column likely indicates the type of statistical series or methodology used for data collection (e.g., 'VF' for Visitor Flow, 'TF' for Tourist Flow).

1995 - 2022: These columns represent the recorded values for the arrival indicators for each year.

Inbound Tourism - Expenditure

This dataset focuses on the expenditure by inbound tourists within the country.

C., S., C. & S.: Categorization or classification codes.

Basic data and indicators: This column specifies the type of expenditure data (e.g., 'Tourism expenditure in the country', 'Travel', 'Passenger transport').

Units: The unit of measurement for the data (e.g., 'US$ Millions').

Notes: Any specific notes or disclaimers related to the data for that row.

Series: This column indicates the data source or methodology (e.g., 'IMF' for International Monetary Fund).

1995 - 2022: These columns represent the recorded values for the expenditure indicators for each year.

Inbound Tourism - Regions

This dataset breaks down inbound tourism arrivals by the region of origin.

C., S., C. & S.: Categorization or classification codes.

Basic data and indicators: This column describes the regional breakdown of arrivals (e.g., 'Total', 'Africa', 'Americas', 'East Asia and the Pacific', 'Europe', 'Middle East', 'South Asia', 'Other not classified').

Units: The unit of measurement for the data (e.g., 'Thousands').

Notes: Any specific notes or disclaimers related to the data for that row.

Series: This column likely indicates the type of statistical series or methodology used for data collection.

1995 - 2022: These columns represent the recorded values for arrivals from each region for each year.

Inbound Tourism - Purpose

This dataset categorizes inbound tourism arrivals by their main purpose of visit.

C., S., C. & S.: Categorization or classification codes.

Basic data and indicators: This column specifies the purpose of visit (e.g., 'Total', 'Personal', 'Business and professional'). 'Personal' can be further broken down into sub-categories such as 'Holiday, leisure and recreation', 'Visiting fr...

Total travel and tourism expenditure by domestic visitors worldwide amounted to approximately *** trillion U.S. dollars in 2024, showing growth over the previous year. This figure also surpassed pre-pandemic levels.

Provide annual tourism expenditure statistics.....

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.

Context

This dataset provides statistics on inbound(Foreign) and domestic tourism across all the provinces of Saudi Arabia. It includes information on tourist numbers, overnight stays, spending patterns, and growth trends over multiple years. It includes both a merged dataset(tourism_data.csv) containing all provinces in a single file, as well as individual files for each province for more granular analysis.

Content

Tourism_Data.csv

• YEARS – Year of observation
• Province – Province in Saudi Arabia
• Tourism_Type – Type of tourism (Inbound or Domestic)
• Tourists_Count – Number of tourists
• Overnight_Stays – Number of overnight stays
• Tourists_Spending – Total tourist spending (SAR)
• Avg_Spending_Per_Trip – Average spending per trip (SAR)

(1058 rows × 7 columns)

Acknowledgements

The dataset was compiled from official tourism statistics published by the Saudi Ministry of Tourism.

Potential Use Cases

• Analyzing tourism trends across Saudi Arabia
• Comparing regional tourist arrivals and growth
• Supporting data-driven insights for researchers, policymakers, and businesses
• Visualizing and forecasting tourism patterns

In 2024, inbound tourism spending in France amounted to **** billion euros. As forecast, the expenditure of international tourists in the country was expected to grow in 2025, reaching an estimated **** billion euros. Inbound vs. domestic tourism in France As the expenditure by international travelers exceeded pre-pandemic levels, domestic tourism spending in France was also higher in 2023 compared to 2019, amounting to more than *** billion euros. Overall, the expenditure by domestic travelers accounted for roughly ********** of total travel and tourism spending in France. The economic contribution of travel and tourism in France In 2023, the total contribution of travel and tourism to France's GDP amounted to almost *** billion euros, showing the key role played by these industries in supporting the country's economy. That year, these markets directly and indirectly generated around *** million jobs, with the total contribution of travel and tourism to employment in France also recovering from the impact of the health crisis.

Explore the dataset on expenditure on outbound tourism trips by purpose of visit, including categories such as visits to relatives and friends, holidays and shopping, business and conferences, and more. Access comprehensive tourism statistics for Saudi Arabia annually.

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

Saudi ArabiaFollow data.kapsarc.org for timely data to advance energy economics research..Include data on overnight visitors only.

In 2024, international tourism expenditure in the United Kingdom rose marginally over 2023, reaching **** billion British pounds. The previous year had marked the first time since the onset of the coronavirus pandemic that inbound tourist spending exceeded pre-pandemic levels.

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".

Tourist Arrivals in the United States increased to 6893068 in August from 6275257 in July of 2025. This dataset provides - United States Tourist Arrivals- actual values, historical data, forecast, chart, statistics, economic calendar and news.

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..

Historical dataset showing Central America tourist spending by year from N/A to N/A.

This table contains the expenditures of resident and non-resident tourists in the Dutch economy, as well as the expenditures of resident tourists abroad. Tourism is not an industry in itself, but covers a wide range of products and services delivered to tourists from different industries. The figures are consistent with the conceptual framework of the National Accounts (NA), and can be compared with existing macroeconomic indicators such as the total value added at basic prises and employment in the Netherlands. The tourism accounts offer an integrated macroeconomic overview of the importance of tourism to the economy.

Data available from: 2010 up to and including 2022.

Status of the figures: Data from 2010 up to and including 2020 are final. Data of 2021 and 2022 are provisional. Since this table has been discontinued, provisional data will not become final.

Changes as of .. August 2024: None. This table has been discontinued. Statistics Netherlands has carried out a revision of the national accounts. The Dutch national accounts are recently revised. New statistical sources, methods and concepts are implemented in the national accounts, in order to align the picture of the Dutch economy with all underlying source data and international guidelines for the compilation of the national accounts. For further information see section 3.

When will new figures be published? Not applicable anymore.

Historical dataset showing St. Martin (French part) tourist spending by year from N/A to N/A.

Historical dataset showing Channel Islands tourist spending by year from N/A to N/A.

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.

This table presents information on tourism spending of foreign visitors in Canada by country of residence, tourism region and spending category. Country of residence is organised into eleven major source of travellers to Canada including the United States, Australia, China, Japan, South Korea, India, United Kingdom, France, Germany, Mexico and other overseas countries. Spending categories include accommodation, food and beverage, transportation in Canada, recreation and entertainment, and clothes and gifts.

Supply and domestic, interprovincial and international demand related to tourism by products, by province and territory.

🌄 Dehradun Tourism Flow & Seasonal Demand Analysis

Overview

Comprehensive tourism impact analysis for Dehradun's retail sector, covering seasonal patterns, religious tourism (Chardham Yatra), and tourist spending behavior. Essential dataset for understanding how 2.5+ million annual tourists drive retail demand fluctuations throughout the year.

🎯 Key Tourism Impact

• Annual Tourists: 2.5 million (2025 projection), 25% of Uttarakhand's total
• Economic Value: ₹1,375+ crores tourism revenue annually
• Chardham Boost: 2.8 million religious pilgrims, +60% retail surge (May-Oct)
• Seasonal Variation: 40% spending increase during peak months (Apr-May)

📊 Dataset Contents (5 Data Tables)

1. Monthly Seasonal Patterns

• 12-month analysis of tourism influx and retail impact
• Temperature correlation with tourist arrivals (3°C to 35°C range)
• Business impact percentages from base level to +40% during peaks
• Category-wise demand: Summer essentials, monsoon gear, winter clothing

2. Chardham Yatra Religious Tourism

• Peak Season: May-October with 2.8M pilgrims
• Economic Impact: ₹450 crores during peak season
• Retail Categories: Religious items, travel essentials, food & lodging
• Pre/Post Yatra: Additional 700K visitors for preparation/return shopping

3. Annual Tourism Growth Trends

• Historical Data: 2023-2025 with growth projections
• Tourist Numbers: From 1.75M (2023) to 2.5M (2025)
• Per-Person Spending: ₹4,500 to ₹5,500 (22% increase)
• Revenue Growth: 75% increase over 3 years

4. Seasonal Tourist Demographics

• Gender Split: 40-52% female tourists across seasons
• Age Profile: 55-65% in target demographic (18-55 years)
• Stay Duration: 2.1 to 4.1 days average
• Daily Spending: ₹1,200-2,200 per person

5. Tourist Spending by Category

• Shopping/Retail: 20-35% of tourist budget (₹1,125 average)
• Food/Dining: 30-45% (₹1,575 average)
• Seasonal Variations: Winter shopping peaks at 35% of budget
• Business Opportunity Ratings: Retail marked as "Very High"

🔍 Critical Business Insights

• Peak Revenue Months: April-May (+40% retail sales boost)
• Religious Tourism Window: May-October (60% sales increase)
• Female Tourist Percentage: 40-52% across seasons
• Tourist vs Local Ratio: 25% tourist influence on retail demand
• Winter Premium: Longest stay duration (4.1 days) with high spending

🎯 Use Cases

✅ Seasonal Inventory Planning - Stock management based on tourist cycles ✅ Revenue Forecasting - Predict monthly sales fluctuations ✅ Marketing Calendar - Time campaigns with tourist seasons ✅ Staffing Optimization - Hire temp staff during peak tourism ✅ Product Mix Strategy - Seasonal category focus (summer/winter/monsoon) ✅ Pricing Strategy - Premium pricing during peak tourist months

📈 Key Patterns Revealed

• Summer Peak: Apr-Jun (35-40% boost) - highest tourist spending
• Monsoon Dip: Jul-Aug (10% boost) - lowest retail impact
• Religious Surge: May-Oct (+60%) - Chardham pilgrimage effect
• Winter Recovery: Nov-Dec (15-20% boost) - holiday tourism

🌟 Unique Value Proposition

First comprehensive dataset linking tourism patterns with retail demand in a Tier-2 Indian city. Combines weather data, religious tourism cycles, and spending behavior for complete seasonal business planning.

📊 Data Sources & Reliability

• Government Tourism Data: IBEF Uttarakhand Tourism Reports
• Religious Tourism: Chardham Yatra Statistics 2024
• Weather Correlation: Meteorological data with tourism patterns
• Spending Analysis: Tourist expenditure surveys and retail impact studies
• Growth Projections: Official state tourism department forecasts

🏷️ Perfect For

• Retail business seasonal planning
• Tourism industry analysis
• Hospitality revenue management
• Seasonal demand forecasting
• Marketing campaign timing
• Inventory optimization strategies

📍 Geographic Context

Location: Dehradun, Uttarakhand (Gateway to Himalayas) Tourism Type: Religious (Chardham), Adventure, Hill Station Market Position: Key transit hub for Himalayan destinations Economic Role: 25% share of state's tourism revenue

Data Period: 2023-2025 with monthly granularity Update Frequency: Annual Methodology: Tourism-retail correlation analysis