Context

This file contains 5 years of daily time series data for several measures of traffic on a statistical forecasting teaching notes website whose alias is statforecasting.com. The variables have complex seasonality that is keyed to the day of the week and to the academic calendar. The patterns you you see here are similar in principle to what you would see in other daily data with day-of-week and time-of-year effects. Some good exercises are to develop a 1-day-ahead forecasting model, a 7-day ahead forecasting model, and an entire-next-week forecasting model (i.e., next 7 days) for unique visitors.

Content

The variables are daily counts of page loads, unique visitors, first-time visitors, and returning visitors to an academic teaching notes website. There are 2167 rows of data spanning the date range from September 14, 2014, to August 19, 2020. A visit is defined as a stream of hits on one or more pages on the site on a given day by the same user, as identified by IP address. Multiple individuals with a shared IP address (e.g., in a computer lab) are considered as a single user, so real users may be undercounted to some extent. A visit is classified as "unique" if a hit from the same IP address has not come within the last 6 hours. Returning visitors are identified by cookies if those are accepted. All others are classified as first-time visitors, so the count of unique visitors is the sum of the counts of returning and first-time visitors by definition. The data was collected through a traffic monitoring service known as StatCounter.

Inspiration

This file and a number of other sample datasets can also be found on the website of RegressIt, a free Excel add-in for linear and logistic regression which I originally developed for use in the course whose website generated the traffic data given here. If you use Excel to some extent as well as Python or R, you might want to try it out on this dataset.

In 2024, the average daily number of visitors to the Louvre Museum in Paris declined by *** percent over the previous year. On average, the Louvre, the most visited art museum worldwide, welcomed roughly ****** visitors per opening day in 2024. This figure remained below the average daily attendance reported in 2019, the year before the onset of the COVID-19 pandemic. Since June 2022, the popular institution has decided to cap the number of daily admissions at ******.

Global Same-Day Visitors by Country, 2023 Discover more data with ReportLinker!

This statistic shows the top 30 exhibitions worldwide according to the number of daily visitors in 2010. The exhibition "The Real Van Gogh: The Artist and His Letters", had a daily visitor count of *****.

These data represent the number of overnight tourists and visitors per month

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...

Israel Visitor Arrivals: Daily Visitors data was reported at 31,064.000 Person in Oct 2018. This records an increase from the previous number of 19,503.000 Person for Sep 2018. Israel Visitor Arrivals: Daily Visitors data is updated monthly, averaging 43,910.500 Person from Nov 2004 (Median) to Oct 2018, with 168 observations. The data reached an all-time high of 295,564.000 Person in May 2008 and a record low of 8,772.000 Person in Jun 2016. Israel Visitor Arrivals: Daily Visitors data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Israel – Table IL.Q001: Visitor and Resident Arrivals.

Israel Visitor Arrivals: Tourists: excl Daily Visitors data was reported at 310,188.000 Person in Jun 2018. This records a decrease from the previous number of 395,917.000 Person for May 2018. Israel Visitor Arrivals: Tourists: excl Daily Visitors data is updated monthly, averaging 211,823.500 Person from Jan 2003 (Median) to Jun 2018, with 186 observations. The data reached an all-time high of 426,284.000 Person in Oct 2017 and a record low of 36,200.000 Person in Mar 2003. Israel Visitor Arrivals: Tourists: excl Daily Visitors data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Israel – Table IL.Q001: Visitor and Resident Arrivals.

This statistic displays the daily average number of unique visitors to the MNM website in Belgium from 2010 to 2018. Following a significant increase in the daily number of people who visited the MNM website in 2017, the MNM websites visitor numbers decreased in 2018. The website had an average of roughly ****** daily visitors in 2017, whereas in 2018 this figure decreased to roughly ****** visitors.

Global Number of Excursionists (Same-Day Visitors) by Country, 2023 Discover more data with ReportLinker!

In 2024, foreign visitors in Taiwan spent around *** U.S. dollars per person per day during their stays. The average daily expenditure in 2023 and 2024 almost doubled compared to the previous two years.

Israel Visitor Departures: Daily Visitors: Cruise Passengers data was reported at 12,426.000 Person in Oct 2018. This records an increase from the previous number of 1,243.000 Person for Sep 2018. Israel Visitor Departures: Daily Visitors: Cruise Passengers data is updated monthly, averaging 6,122.500 Person from Nov 2004 (Median) to Oct 2018, with 168 observations. The data reached an all-time high of 52,266.000 Person in Oct 2012 and a record low of 0.000 Person in Aug 2017. Israel Visitor Departures: Daily Visitors: Cruise Passengers data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Israel – Table IL.Q002: Visitor and Resident Departures.

Israel Visitor Arrivals: Tourists: excl Daily Visitors: Air data was reported at 280,199.000 Person in Jun 2018. This records a decrease from the previous number of 344,329.000 Person for May 2018. Israel Visitor Arrivals: Tourists: excl Daily Visitors: Air data is updated monthly, averaging 179,838.000 Person from Jan 2003 (Median) to Jun 2018, with 186 observations. The data reached an all-time high of 373,807.000 Person in Oct 2017 and a record low of 32,700.000 Person in Mar 2003. Israel Visitor Arrivals: Tourists: excl Daily Visitors: Air data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Israel – Table IL.Q001: Visitor and Resident Arrivals.

Israel Visitor Arrivals: Daily Visitors: Cruise Passengers data was reported at 229.000 Person in Jun 2018. This records a decrease from the previous number of 6,483.000 Person for May 2018. Israel Visitor Arrivals: Daily Visitors: Cruise Passengers data is updated monthly, averaging 6,228.000 Person from Nov 2004 (Median) to Jun 2018, with 164 observations. The data reached an all-time high of 52,266.000 Person in Oct 2012 and a record low of 0.000 Person in Aug 2017. Israel Visitor Arrivals: Daily Visitors: Cruise Passengers data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Israel – Table IL.Q001: Visitor and Resident Arrivals.

The statistics on daily passenger traffic provides some relevant figures concerning daily statistics on inbound and outbound passenger trips at all control points (with breakdown by Hong Kong Residents, Mainland Visitors and Other Visitors).

A visitor is classified as a tourist (or an overnight visitor) if his trip includes one night's stay, and the same-day visitor does not include an overnight stay.Source: Inbound Tourism Survey

Daily utilization metrics for data.lacity.org and geohub.lacity.org. Updated monthly

• Covers visitors staying overnight or longer anywhere in the state, and any overnight or non-overnight interisland trips reported by these visitors.
• Domestic includes passengers from all flights originating from the mainland United States.
• International includes passengers from all flights originating from U.S. territories and other countries
  Source: Hawaii Tourism Authority

Forecast: Inbound Same-Day Visitors in the US 2024 - 2028 Discover more data with ReportLinker!