In Australia in 2024, Facebook was the leading source of web traffic referrals, driving ** percent of clicks or taps to third-party websites. In comparison, Instagram accounted for **** percent, while Pinterest contributed *** percent.

In June 2025, DoorDash's website, doordash.com, had just under 72 million visitors globally, recording a bounce rate of approximately 34.2 percent. For comparison, web traffic figures of UberEats show lower monthly visits.

General data recollected for the studio " Analysis of the Quantitative Impact of Social Networks on Web Traffic of Cybermedia in the 27 Countries of the European Union". Four research questions are posed: what percentage of the total web traffic generated by cybermedia in the European Union comes from social networks? Is said percentage higher or lower than that provided through direct traffic and through the use of search engines via SEO positioning? Which social networks have a greater impact? And is there any degree of relationship between the specific weight of social networks in the web traffic of a cybermedia and circumstances such as the average duration of the user's visit, the number of page views or the bounce rate understood in its formal aspect of not performing any kind of interaction on the visited page beyond reading its content? To answer these questions, we have first proceeded to a selection of the cybermedia with the highest web traffic of the 27 countries that are currently part of the European Union after the United Kingdom left on December 31, 2020. In each nation we have selected five media using a combination of the global web traffic metrics provided by the tools Alexa (https://www.alexa.com/), which ceased to be operational on May 1, 2022, and SimilarWeb (https:// www.similarweb.com/). We have not used local metrics by country since the results obtained with these first two tools were sufficiently significant and our objective is not to establish a ranking of cybermedia by nation but to examine the relevance of social networks in their web traffic. In all cases, cybermedia whose property corresponds to a journalistic company have been selected, ruling out those belonging to telecommunications portals or service providers; in some cases they correspond to classic information companies (both newspapers and televisions) while in others they refer to digital natives, without this circumstance affecting the nature of the research proposed.
Below we have proceeded to examine the web traffic data of said cybermedia. The period corresponding to the months of October, November and December 2021 and January, February and March 2022 has been selected. We believe that this six-month stretch allows possible one-time variations to be overcome for a month, reinforcing the precision of the data obtained. To secure this data, we have used the SimilarWeb tool, currently the most precise tool that exists when examining the web traffic of a portal, although it is limited to that coming from desktops and laptops, without taking into account those that come from mobile devices, currently impossible to determine with existing measurement tools on the market. It includes:

Web traffic general data: average visit duration, pages per visit and bounce rate Web traffic origin by country Percentage of traffic generated from social media over total web traffic Distribution of web traffic generated from social networks Comparison of web traffic generated from social netwoks with direct and search procedures

A. SUMMARY This dataset consists of San Francisco International Airport (SFO) The aircraft landing dataset contains data about aircraft landings at SFO with monthly landing counts and landed weight by airline, region and aircraft model and type.

B. HOW THE DATASET IS CREATED Data is self-reported by airlines and is only available at a monthly level.

C. UPDATE PROCESS Data is available starting in July 1999 and will be updated monthly.

D. HOW TO USE THIS DATASET Airport data is seasonal in nature; therefore, any comparative analyses should be done on a period-over-period basis (i.e. January 2010 vs. January 2009) as opposed to period-to-period (i.e. January 2010 vs. February 2010). It is also important to note that fact and attribute field relationships are not always 1-to-1. For example, Cargo Statistics belonging to United Airlines will appear in multiple attribute fields and are additive, which provides flexibility for the user to derive categorical Cargo Statistics as desired.

E. RELATED DATASETS A summary of monthly comparative air-traffic statistics is also available on SFO’s internet site at

https://www.flysfo.com/about/media/facts-statistics/air-traffic-statistics

As of December 2024, around ** percent of the web traffic in Indonesia was accessed with mobile phones. By comparison, around ** percent of the web traffic in the country came from laptop and desktop computers that year.

A. SUMMARY This dataset consists of San Francisco International Airport (SFO) air traffic cargo dataset contains data about cargo volume into and out of SFO, in both metric tons and pounds, with monthly totals by airline, region and aircraft type.

B. HOW THE DATASET IS CREATED Data is self-reported by airlines and is only available at a monthly level.

C. UPDATE PROCESS Data is available starting in July 1999 and will be updated monthly.

D. HOW TO USE THIS DATASET Airport data is seasonal in nature; therefore, any comparative analyses should be done on a period-over-period basis (i.e. January 2010 vs. January 2009) as opposed to period-to-period (i.e. January 2010 vs. February 2010). It is also important to note that fact and attribute field relationships are not always 1-to-1. For example, Cargo Statistics belonging to United Airlines will appear in multiple attribute fields and are additive, which provides flexibility for the user to derive categorical Cargo Statistics as desired.

E. RELATED DATASETS A summary of monthly comparative air-traffic statistics is also available on SFO’s internet site at

https://www.flysfo.com/about/media/facts-statistics/air-traffic-statistics

Network traffic datasets created by Single Flow Time Series Analysis

Datasets were created for the paper: Network Traffic Classification based on Single Flow Time Series Analysis -- Josef Koumar, Karel Hynek, Tomáš Čejka -- which was published at The 19th International Conference on Network and Service Management (CNSM) 2023. Please cite usage of our datasets as:

J. Koumar, K. Hynek and T. Čejka, "Network Traffic Classification Based on Single Flow Time Series Analysis," 2023 19th International Conference on Network and Service Management (CNSM), Niagara Falls, ON, Canada, 2023, pp. 1-7, doi: 10.23919/CNSM59352.2023.10327876.

This Zenodo repository contains 23 datasets created from 15 well-known published datasets which are cited in the table below. Each dataset contains 69 features created by Time Series Analysis of Single Flow Time Series. The detailed description of features from datasets is in the file: feature_description.pdf

In the following table is a description of each dataset file:

As of the last quarter of 2023, 31.57 percent of web traffic in the United States originated from mobile devices, down from 49.51 percent in the fourth quarter of 2022. In comparison, over half of web traffic worldwide was generated via mobile in the last examined period.

In 2023, mobile devices accounted for approximately 65.1 percent of total web pages served to web browsers in Montenegro. For comparison, tablet devices represented only 1.6 percent of web traffic.

In January 2025, Wolt's website, wolt.com, had just under 11 million visitors globally, recording a bounce rate of approximately 32 percent. Wolt was acquired by DoorDash in May 2022. For comparison, web traffic figures of DoorDash show nearly 72 monthly visitors.

As of December 2024, Facebook had the largest share of web traffic referrals from social media in Saudi Arabia, at **** percent. In comparison, the platform X had a **** percent share of web traffic referrals that month.

Around ** percent of the web traffic in Saudi Arabia in December 2024 was through Chrome. In comparison, Safari accounted for approximately ** percent of the web traffic in the country.

Mobile accounts for approximately half of web traffic worldwide. In the last quarter of 2024, mobile devices (excluding tablets) generated 62.54 percent of global website traffic. Mobiles and smartphones consistently hoovered around the 50 percent mark since the beginning of 2017, before surpassing it in 2020. Mobile traffic Due to low infrastructure and financial restraints, many emerging digital markets skipped the desktop internet phase entirely and moved straight onto mobile internet via smartphone and tablet devices. India is a prime example of a market with a significant mobile-first online population. Other countries with a significant share of mobile internet traffic include Nigeria, Ghana and Kenya. In most African markets, mobile accounts for more than half of the web traffic. By contrast, mobile only makes up around 45.49 percent of online traffic in the United States. Mobile usage The most popular mobile internet activities worldwide include watching movies or videos online, e-mail usage and accessing social media. Apps are a very popular way to watch video on the go and the most-downloaded entertainment apps in the Apple App Store are Netflix, Tencent Video and Amazon Prime Video.

In December 2023, desktop computers generated over ** percent of the web traffic in Peru. Meanwhile, mobile phones accounted for around ** percent of the country's traffic. By comparison, tablets and consoles generated less than *** percent of the country's web traffic.

According to a report published by DataReportal, as of December 2024, mobile phones had the highest share of web traffic at ***** percent in Thailand. By comparison, the share of web traffic on laptops and desktop computers was around ** percent.

Overall, retail website traffic in the United States decreased in all the last five quarters, experiencing an overall growth rate of **percent in the most recently recorded quarter. When comparing devices, while desktop traffic achieved growth, mobile traffic decreased as of Q1 2025.

As of August 2024, the majority of countries from Latin America had most of their web traffic originating from mobile devices. Haiti ranked first regarding mobile traffic, with ***** percent, followed by Jamaica and Cuba. Regarding desktop computers, Brazil had the highest share of its web traffic coming from desktop devices, followed by Peru, Uruguay, and Ecuador. Additionally, the archipelago of Saint Vincent and the Grenadines, and Antigua and Barbuda had the highest share of online traffic coming from tablets, with **** percent and **** percent, respectively. Unequal access to the internet... Unfortunately, these developments usually do not come equally to all Latin American countries: according to 2024 estimates, around *********** Ecuadorians had no access to mobile internet that year. The country's penetration rate might reach just over ** percent by 2028, whereas there were approximately ** million mobile internet users in 2022. Meanwhile, the Dominican Republic had the highest share of web traffic coming from desktop devices but also one of the lowest from mobile devices, showing little development in its access to mobile opportunities. ...but a steady growth and boost to related sectors Despite its inequality, the increasing mobile connectivity in Latin America keeps transforming the region’s digital landscape. Growing connectivity has improved access to social networks, and consequently gathered more investment in social media advertising. Additionally, the number of online shopping customers increased throughout the region. Countries like Colombia and Per particularly observed improvements in their e-commerce economies, which are even more significant when comparing them to these markets’ still comparatively low online reach.

In 2023, mobile devices accounted for approximately 53 percent of total web pages served to web browsers in Belarus. To compare, tablet devices represented less than one percent of web traffic.

Russia's fixed-line internet traffic reached over 78 exabytes in 2021, marking an increase by about 16 percent from the previous year. To compare, the data traffic on mobile devices in the country was below 30 exabytes in 2021.