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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...
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TwitterThe number of international tourist arrivals grew sharply in 2024 over the previous year, slightly exceeding pre-pandemic levels. Either before or after the impact of COVID-19, France was the most visited country by inbound travelers worldwide, with *** million international tourist arrivals in 2024. Spain, the United States, and Turkey followed in the ranking that year. How many tourists travel each year? In 2024, the number of international tourist arrivals worldwide totaled almost *** billion, recovering from the impact of COVID-19 and reaching the highest figure reported to date. Meanwhile, international tourism receipts worldwide also hit an all-time high, peaking at over *** billion U.S. dollars in 2024. What are the most popular global regions for inbound tourism? When breaking down the number of international tourist arrivals worldwide by region, Europe has consistently reported the highest volume of inbound travelers over the past 20 years. In 2024, this region alone accounted for over ** percent of global inbound tourist arrivals. That year, Asia and the Pacific recorded the second-highest number of inbound tourist arrivals worldwide.
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Switzerland International Tourism: Number of Arrivals data was reported at 9,205,000.000 Person in 2016. This records a decrease from the previous number of 9,305,000.000 Person for 2015. Switzerland International Tourism: Number of Arrivals data is updated yearly, averaging 7,863,000.000 Person from Dec 1995 (Median) to 2016, with 21 observations. The data reached an all-time high of 9,305,000.000 Person in 2015 and a record low of 6,530,000.000 Person in 2003. Switzerland 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 Switzerland – Table CH.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;
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This dataset provides values for TOURIST ARRIVALS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
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Iran IR: International Tourism: Number of Arrivals data was reported at 4,942,000.000 Person in 2016. This records a decrease from the previous number of 5,237,000.000 Person for 2015. Iran IR: International Tourism: Number of Arrivals data is updated yearly, averaging 1,961,500.000 Person from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 5,237,000.000 Person in 2015 and a record low of 568,000.000 Person in 1995. Iran IR: 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 Iran – Table IR.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;
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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;
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This dataset provides values for TOURISM REVENUES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
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TwitterIn 2024, Germany was the European country with the highest outbound tourism expenditure. That year, Germany's outbound tourism spending amounted to over *** billion U.S. dollars, the highest figure reported to date. In 2024, the United Kingdom and France followed in the ranking, with outbound tourism spending of around *** billion and almost ** billion U.S. dollars, respectively.
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TwitterThis table contains 45 series, with data for years 2014 - 2014 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) Country of origin (15 items: United States; United Kingdom; France; China; ...) Traveller characteristics (3 items: Trips; Nights; Spending in Canada).
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TwitterMany people enjoy traveling. When comparing the long distance train ticket users in selected countries worldwide, the highest share can be found in India, where 51 percent of consumers fall into this category. Finland ranks second with 42 percent of respondents being part of this category as well.Statista Consumer Insights offer you all results of our exclusive Statista surveys, based on more than 2,000,000 interviews.
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This dataset provides values for TOURISM reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
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TwitterThis data set is about the World Tourism Organization's Compendium of Tourism Statistics and the Yearbook of Tourism Statistics. It gives statistics on arrivals of nonresident tourists/visitors, departures, and tourism expenditure in the country and in other countries. It also provides comprehensive information on international tourism worldwide and offers a selection of the latest available statistics on "arrivals of non-resident tourists/visitors" and "tourism expenditure". The best analytical projects include data cleaning and visualization.
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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;
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TwitterIn 2023, the United States recorded the highest score in the Travel & Tourism Development Index (TTDI), with **** points out of seven. That year, Spain and Japan followed behind, with a TTDI score of **** and ****, respectively. The Travel & Tourism Development Index analyzes a range of factors and policies supporting the development of the travel and tourism sector in a sustainable and resilient way. It covers 119 countries and is made up of five sub-indexes, addressing a series of relevant topics for the sector, such as safety and security, prioritization of travel and tourism, infrastructure, environmental sustainability, and more. The economic contribution of travel and tourism In 2023, the total contribution of travel and tourism to the global gross domestic product (GDP) was forecast to exceed nine trillion U.S. dollars, nearly catching up with the figure recorded in 2019, the year before the onset of the COVID-19 pandemic. Meanwhile, the number of travel and tourism jobs worldwide was expected to surpass 300 million in 2023, also remaining slightly below pre-pandemic levels. What is the number of international tourist arrivals worldwide? In 2023, the number of international tourist arrivals worldwide reached almost 1.3 billion. While this figure denoted a sharp annual increase, it did not catch up yet with the peak reported in 2019, when global inbound tourist arrivals totaled approximately 1.46 billion. Overall, both before and after the impact of the health crisis, Europe was the global region with the highest number of inbound tourist arrivals.
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France FR: International Tourism: Number of Arrivals data was reported at 82,570,000.000 Person in 2016. This records a decrease from the previous number of 84,452,000.000 Person for 2015. France FR: International Tourism: Number of Arrivals data is updated yearly, averaging 76,888,000.000 Person from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 84,452,000.000 Person in 2015 and a record low of 60,033,000.000 Person in 1995. France FR: 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 France – Table FR.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;
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ML: International Tourism: Receipts: % of Total Exports data was reported at 6.614 % in 2014. This records an increase from the previous number of 5.397 % for 2013. ML: International Tourism: Receipts: % of Total Exports data is updated yearly, averaging 8.161 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 11.805 % in 2003 and a record low of 3.890 % in 1997. ML: International Tourism: Receipts: % of Total Exports data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mali – Table ML.World Bank: Tourism Statistics. 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. Their share in exports is calculated as a ratio to exports of goods and services, which comprise all transactions between residents of a country and the rest of the world involving a change of ownership from residents to nonresidents of general merchandise, goods sent for processing and repairs, nonmonetary gold, and services.; ; World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, and IMF and World Bank exports estimates.; Weighted average;
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This dataset provides values for TOURIST ARRIVALS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
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TwitterIn 2023, China had the highest domestic tourism expenditure throughout the Asia-Pacific region, with a domestic tourism expenditure of over *** billion U.S. dollars. Comparatively, the Maldives' domestic tourism expenditure amounted to approximately ** million U.S. dollars in 2023.
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Users' Rating of 222 Different Countries: This dataset comprises user ratings and reviews of 222 different countries worldwide. Each entry in the dataset includes information such as the country's name, user-provided ratings (which could be numerical, star-based, or categorical), reviews (textual feedback or comments), and possibly additional metadata like the date of the review, the user's demographic information, and the platform or service where the review was submitted. This dataset is valuable for sentiment analysis, travel recommendation systems, and understanding public perceptions and experiences regarding various countries. Countries' Popularity Index and Average Number of Visitors: This dataset contains information regarding the popularity index and average number of visitors for multiple countries. The popularity index may be based on factors such as tourism statistics, travel trends, cultural events, economic indicators, or surveys. It quantifies the level of interest or appeal a country holds for travelers and tourists. Additionally, the dataset provides the average number of visitors per specified time period (e.g., per year, per month), offering insights into the tourism traffic and attractiveness of each country. This dataset is valuable for destination marketing, tourism planning, and analyzing travel behavior and preferences on a global scale.
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TwitterIn 2024, the United States was the country worldwide with the highest total contribution of travel and tourism to GDP. That year, the total GDP contribution of travel and tourism in the U.S. amounted to around *** trillion U.S. dollars, exceeding pre-pandemic levels. China and Germany followed in the ranking, with figures of around *** trillion and *** trillion U.S. dollars, respectively. Overall, the total contribution of travel and tourism to GDP worldwide reached almost ** trillion U.S. dollars in 2024. What are the most visited countries worldwide? While the U.S. and China reported the highest figures in terms of travel and tourism contribution to GDP in 2024, it was a European destination that led the ranking of countries with the highest number of inbound tourist arrivals worldwide. With over *** million international arrivals in 2024, France was the most visited travel destination in the world that year. How many people work in the global travel and tourism sector? After declining sharply due to the impact of COVID-19, the number of travel and tourism jobs worldwide bounced back in 2024, reaching over *** million, surpassing pre-pandemic levels.
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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...