In 2024, the number of international tourist arrivals worldwide recorded a **** percent annual increase. That year, global inbound tourist arrivals caught up with the figure from 2019, reaching **** billion.

Historical dataset showing World tourist spending by year from 1995 to 2019.

Historical dataset showing North America tourist spending by year from 1995 to 2019.

Global business tourism spending was estimated to reach approximately **** trillion U.S. dollars in 2024, surpassing pre-pandemic levels. Business travel is a branch of the tourism industry focusing on trips made for work-related purposes. Attending congresses, meetings, and trade fairs, for instance, are among the main activities related to this market.

Historical dataset showing OECD members tourist spending by year from 1995 to 2019.

Historical dataset showing Andorra tourist spending by year from 2019 to 2019.

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.

Historical dataset showing Germany tourist spending by year from 1995 to 2019.

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.

Annual 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. In 2019, new methods were introduced for this dataset. The 2009 to 2019 edition supersedes all previous time series editions of this dataset. We advise against using all editions listed before the 2019 edition.

Annual estimates of visits and spending by UK residents abroad. Also includes data on nights, purpose, main country visited and mode of travel. Breakdowns by length of stay and nationality are covered. In 2019, new methods were introduced for this dataset. The 2009 to 2019 edition supersedes all previous time series editions of this dataset. We advise against using all editions listed before the 2019 edition.

Andorra AD: International Tourism: Receipts for Travel Items data was reported at 1.897 USD bn in 2019. Andorra AD: International Tourism: Receipts for Travel Items data is updated yearly, averaging 1.897 USD bn from Dec 2019 (Median) to 2019, with 1 observations. The data reached an all-time high of 1.897 USD bn in 2019 and a record low of 1.897 USD bn in 2019. Andorra AD: International Tourism: Receipts for Travel Items data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Andorra – Table AD.World Bank.WDI: Tourism Statistics. International tourism receipts for travel items are expenditures by international inbound visitors in the reporting economy. 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 receipts should include any other prepayment made for goods or services received in the destination country. They also may include receipts from 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;

Cuba CU: International Tourism: Number of Arrivals data was reported at 1,086,000.000 Person in 2020. This records a decrease from the previous number of 4,276,000.000 Person for 2019. Cuba CU: International Tourism: Number of Arrivals data is updated yearly, averaging 2,270,000.000 Person from Dec 1995 (Median) to 2020, with 26 observations. The data reached an all-time high of 4,712,000.000 Person in 2018 and a record low of 745,000.000 Person in 1995. Cuba CU: 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 Cuba – Table CU.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;

Aqaba Tourism Statistics

In 2024, total spending by domestic travelers amounted to *** trillion U.S. dollars, recovering from the impact of COVID-19. In contrast, global international spending remained slightly below pre-pandemic levels, totaling **** trillion U.S. dollars in 2024.

Andorra AD: International Tourism: Expenditures for Travel Items data was reported at 180.000 USD mn in 2019. Andorra AD: International Tourism: Expenditures for Travel Items data is updated yearly, averaging 180.000 USD mn from Dec 2019 (Median) to 2019, with 1 observations. The data reached an all-time high of 180.000 USD mn in 2019 and a record low of 180.000 USD mn in 2019. Andorra AD: 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 Andorra – Table AD.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;

Historical dataset showing European Union tourist spending by year from 1995 to 2019.

Abstract

The DTS is a large-scale household survey aimed at collecting accurate statistics on the travel behavior and expenditure of South African residents travelling within the borders of the country. Such information is crucial when determining the contribution of tourism to the South African economy, as well as helping with planning, marketing, policy formulation, and the regulation of tourism-related activities.

Geographic coverage

National coverage

Analysis unit

Households and individuals

Universe

The target population of the survey consists of all private households in all nine provinces of South Africa and residents in workers’ hostels. The survey does not cover other collective living quarters such as students’ hostels, old age homes, hospitals, prisons and military barracks, and is therefore only representative of non-institutionalized and non-military persons or households in South Africa.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample design for the DTS 2019 was based on a Master Sample (MS) that has been designed for all household surveys conducted by Statistics South Africa.

The Master Sample used a two-staged, stratified design with probability-proportional-to-size (PPS) sampling of PSUs from within strata, and systematic sampling of dwelling units (DUs) from the sampled primary sampling units (PSUs). A self-weighting design at provincial level was used. Stratification was done in two stages: Primary stratification was defined by metropolitan and non-metropolitan geographic area type. During secondary stratification, the Census 2011 data were summarized at PSU level. The following variables were used for secondary stratification: household size, education, occupancy status, gender, industry and income.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Two questionnaires were administered to collect the survey data:

1. Cover page: includes household information, response details, result codes, field staff information and demographic information (name, sex, age, population group and marital status).
2. Questionnaire: includes education, tourism employment, domestic day trips, domestic night trips and household living conditions.

📢**April 18, 2023 Update ( Please use Version 2):** - Renamed "profit" to "revenue" for better understanding. - Normalized the values in Thai Baht (previously MTHB).

This dataset contains statistics on domestic tourism in Thailand from Jan 2019 to Feb 2023, broken down by province. The dataset includes information on the number of tourists, the occupancy rate, and the profits generated by tourism in each province, as well as the nationality of the tourists (Thai vs. foreign).

Sourced from raw data provided by the Official Ministry of Tourism and Sports Statistics, which was manually entered into Excel files 🙃. So I pre-processed the data using Python with the intention of making it more accessible in the appropriate format which has the potential to provide valuable insights into the domestic tourism industry in Thailand, including trends and patterns across different provinces over time. Researchers, analysts, and policymakers with an interest in the domestic tourism sector in Thailand may find this dataset useful for their work.

Banner credit: Tourism Authority of Thailand.

Cleaned and ready-to-use 77 Provinces, 8 Variables, 3 Years and 2 Months with total 30,800 rows.