Websites in the energy, utilities, and construction sector averaged the largest amount of visits per online session worldwide. In the fourth quarter of 2022, desktop users in that segment visited around ***** pages per online session. Travel and hospitality ranked second, with an average of almost *** pages visited. In terms of mobile users, travel and hospitality registered the highest number of page views, followed by retail.
In March 2024, search platform Google.com generated approximately 85.5 billion visits, down from 87 billion platform visits in October 2023. Google is a global search platform and one of the biggest online companies worldwide.
Daily utilization metrics for data.lacity.org and geohub.lacity.org. Updated monthly
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Explore our detailed website traffic dataset featuring key metrics like page views, session duration, bounce rate, traffic source, and conversion rates.
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In May 2025, the Temu website, temu.com, totaled at *** billion visits. The number of monthly visits has increased from February when they reached ***** million worldwide.
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This dataset was used in the Kaggle Wikipedia Web Traffic forecasting competition. It contains 145063 daily time series representing the number of hits or web traffic for a set of Wikipedia pages from 2015-07-01 to 2017-09-10.
The original dataset contains missing values. They have been simply replaced by zeros.
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.
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.
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.
This dataset contains the quarterly number of Visits to the MCPL Kids webpage. https://www.montgomerycountymd.gov/library/for-you/kids.html Update Frequency : Annually
In March 2023, Hamburg-based About You's website, aboutyou.com, was visited a total of ******* times. This figure is down from the previous month's web traffic that reached approximately ***** thousand visits.
Average Quarterly visits over the course of the year.
Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:
See the Splitgraph documentation for more information.
In August 2025, the Vinted website, vinted.com, totaled at *** million visits. The number of monthly visits has increased significantly since June 2025, where monthly visits reached ****million.
Data dictionary: Page_Title: Title of webpage used for pages of the website www.cityofrochester.gov Pageviews: Total number of pages viewed over the course of the calendar year listed in the year column. Repeated views of a single page are counted. Unique_Pageviews: Unique Pageviews - The number of sessions during which a specified page was viewed at least once. A unique pageview is counted for each URL and page title combination. Avg_Time: Average amount of time users spent looking at a specified page or screen. Entrances: The number of times visitors entered the website through a specified page.Bounce_Rate: " A bounce is a single-page session on your site. In Google Analytics, a bounce is calculated specifically as a session that triggers only a single request to the Google Analytics server, such as when a user opens a single page on your site and then exits without triggering any other requests to the Google Analytics server during that session. Bounce rate is single-page sessions on a page divided by all sessions that started with that page, or the percentage of all sessions on your site in which users viewed only a single page and triggered only a single request to the Google Analytics server. These single-page sessions have a session duration of 0 seconds since there are no subsequent hits after the first one that would let Google Analytics calculate the length of the session. "Exit_Rate: The number of exits from a page divided by the number of pageviews for the page. This is inclusive of sessions that started on different pages, as well as “bounce” sessions that start and end on the same page. For all pageviews to the page, Exit Rate is the percentage that were the last in the session. Year: Calendar year over which the data was collected. Data reflects the counts for each metric from January 1st through December 31st.
As of December 2024, google.com had the highest number of total monthly visits in the United Arab Emirates, with *** million. The website YouTube.com had the second-highest average of monthly total visits at *** million.
A breakdown of the Food Hygiene Ratings website traffic data showing total number of visits, unique visitors and page views.
In January 2019, each visitor of a travel-related website in China visited travel websites an average of **** times during the month. In comparison, each visitor of a travel-related website in Australia visited travel websites on average *** times throughout the month in January 2019.
In July 2025, the number of visits to the travel and tourism website edreams.com totaled *** million. This figure represented an increase in online traffic over the previous month.
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The cumulative number of visitors to the micro-enterprise phoenix website.
In July 2025, the number of visits to the travel and tourism website tripadvisor.com increased over the previous month, totaling roughly *** million. In 2025, tripadvisor.com was one of the most visited travel and tourism websites worldwide.
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The Electronic Administration Barometer's main objective is to use the state of supply and demand of electronic administration from a joint point of view.More information in the https://translate.google.com/translate?hl=es&sl=es&tl=en&u=http%3A%2F%2Fwww.euskadi.eus%2Fbarometro-de-la-administracion-electronica-en-la-c-a-de-euskadi-bea%2Fweb01-a2est%2Fes%2F departmental statistical portal.
Websites in the energy, utilities, and construction sector averaged the largest amount of visits per online session worldwide. In the fourth quarter of 2022, desktop users in that segment visited around ***** pages per online session. Travel and hospitality ranked second, with an average of almost *** pages visited. In terms of mobile users, travel and hospitality registered the highest number of page views, followed by retail.