Árukereső was the most popular price comparison portal in Hungary in 2021, based on the traffic share measured by SimilarWeb. Árgép was the second most visited price comparison site over the same time period.

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

Across popular online marketplace websites visited by users in Australia in February 2025, temu.com registered the highest growth in its website traffic compared to the previous year, with an annual growth of over 56 percent. In comparison, ebay.com.au saw a decrease in its website traffic compared to the previous year, with an annual decrease of around 11.9 percent.

Jorge Godoy

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:

Australia's top fashion e-commerce websites saw a ** percent increase in site traffic in the first quarter of 2021 in comparison to the same quarter in 2020. Additionally, the top fashion e-commerce websites in France had an increase of ** percent of site traffic in Q1 of 2021 vs. Q1 2020.

In 2019, Volume of Road Traffic in Ireland rose 0.2% compared to the previous year.

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.

This dataset contains the Annual Comparative Statement of Traffic on international Scheduled Services for Last three years. It includes passengers carried, freight carried, mail carried, passenger load factor, and passenger kilometres performed.

Important Note: This item is in mature support as of June 2023 and will be retired in December 2025.This map shows traffic counts in the United States, collected through 2022 in a multiscale map. Traffic counts are widely used for site selection by real estate firms and franchises. Traffic counts are also used by departments of transportation for highway funding. This map is best viewed at large scales where you can click on each point to access up to five different traffic counts over time. At medium to small scales, comparisons along major roads are possible. The Business Basemap has been added to provide context at medium and small scales. It shows the location of businesses in the United States and helps to understand where and why traffic counts are collected and used. The pop-up is configured to display the following information:The most recent traffic countThe street name where the count was collectedThey type of count that was taken. See the methodology document for definitions of count types such as AADT - Average Annual Daily Traffic. Traffic Counts seasonally adjusted to represent the average day of the year. AADT counts represent counts taken Sunday—Saturday.A graph displaying up to five traffic counts taken at the same location over time. Permitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

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

Provides a comparison table of the top ten accidents on traffic sections in Kaohsiung City in 108 years

Target/actual comparison of SBB departure/arrival times: data is from the previous day. The data comes from https://www.opentransportdata.swiss

Introduction

Landing Page Statistics: Landing pages are dedicated web pages designed to convert visitors into leads or customers by focusing on a single, clear call to action. In 2024, the median landing page conversion rate across industries is 6.6%, with top-performing pages exceeding 20%. Email-driven traffic achieves the highest average conversion rate at 19.3%, outperforming paid search (10.9%) and paid social (12%).

Mobile devices account for 82.9% of landing page traffic, yet desktop users exhibit a higher average conversion rate of 12.1% compared to 11.2% for mobile users. Speed is crucial; a one-second delay in page load time can reduce conversions by 7%. Incorporating videos can boost conversions by 86%, and personalized landing pages can convert 202% better than generic ones.

Design elements significantly impact performance. Landing pages with five or fewer form fields convert 120% better than those with more fields. Pages with a single, clear call to action achieve a 13.5% conversion rate, compared to 11.9% for pages with multiple CTAs. Additionally, 38.6% of marketers report that videos enhance landing page conversion rates more than any other element.

Let us check out some of the Landing page statistics concerning landing page performance and the secrets of landing page success.

This dataset contains the Annual Comparative Statement of Traffic on Domestic Scheduled Services for Last three years. It includes passengers carried, freight carried, mail carried, passenger load factor, and passenger kilometres performed.

Performance comparison on traffic datasets of different scales.

Data Source: California Office of Traffic Safety

This data biography shares the how, who, what, where, when, and why about this dataset. We, the epidemiology team at Napa County Health and Human Services Agency, Public Health Division, created it to help you understand where the data we analyze and share comes from. If you have any further questions, we can be reached at epidemiology@countyofnapa.org.

Data dashboard featuring this data: https://data.countyofnapa.org/stories/s/abqu-wcty

Why was the data collected?  California Office of Traffic Safety (OTS) ranking metric is a tool used to compare similarly sized cities on traffic safety statistics. A smaller the assigned number means that the city is ranked higher, and a higher ranking means the city has worse traffic safety compared to similar locations.

How was the data collected? Crash data comes from Statewide Traffic Records System (SWITRS). This system collects and processes data gathered from a collision scene. Population estimates come from California Department of Finance (DoF), which are based on changes in births, deaths, domestic migration, and international migration. Estimates are developed using aggregate data from a variety of sources, including birth and death counts provided by the Department of Public Health, driver's license data from the Department of Motor Vehicles, housing unit data from local governments, school enrollment data from the Department of Education, and federal income tax return data from the U.S. Internal Revenue Service. Daily Vehicle Miles Traveled (DVMT) come from California Department of Transportation (Caltrans). The Traffic Data Branch at Caltrans estimates the number of vehicle miles that motorists traveled on California State Highways using a sampling of up to 20 traffic monitoring sites and reports on that data. Crash rankings are based on a ranking method that assigns statistical weights to categories including observed crash counts, population, and vehicle miles traveled. Counties are assigned statewide rankings, while cities are assigned population group rankings. DUI arrests data comes from the Department of Justice.

Who was included and excluded from the data & Where was the data collected? Data for the rankings is taken from Incorporated cities only. This includes local streets and state highways within city limits that share jurisdiction with the CHP. DUI arrest data is only available for cities that report it to the Department of Justice. Data from the OTS crash was sources specifically for Napa County, the City of Napa, American Canyon, Calistoga, St. Helena and Yountville.

When was the data collected? 2017-2022

Where can I learn more about this data? Office of traffic safety: https://www.ots.ca.gov/media-and-research/crash-rankings/ Methodology: https://rosap.ntl.bts.gov/view/dot/24410

What is a high quality website? Over the years the whole SEO industry is talking about the need of producing high quality content and top experts came up with the clever quote ‘Content is king’, meaning that content is the success factor of any website. While this is true, does it mean that a website with good content is also a high quality website? The answer is NO. Good content is not enough. It is one of the factors (the most important) that separates low from high quality sites but good content alone does not complete the puzzle of what is considered by Google as a high quality website. Now you can get the high quality on high quality sites like Techtimes, Vanguardngr, Nytimes, Forbes etc. You can also buy Techtimes guest Post at a reasonable price from the best guest post service. What is SEO SEO is short for ‘Search Engine Optimization’. It refers to the process of increasing a websites traffic flow by optimizing several aspects of a website; such as your on-page SEO, technical SEO & off-site SEO,. Your SEO strategy should ideally be planned around your content strategy. For this you will require three elements, 1.) keywords, 2.) links and 3.) substance to piece your content strategy together. Guest Post on High quality sites can improve your SEO ranking. To improve ranking and boost ranking, buy Guest Post on Techtimes from the high quality guest post service. Characteristics of a high quality website A high quality website has the following characteristics: Unique content Content is unique both within the website itself (i.e. each page has unique content and not similar to other pages), but also compared to other websites. Demonstrate Expertise Content is produced by experts based on research and or experience. If for example the subject is health related, then the advice should be provided by qualified authors who can professionally give advice for the particular subject. Unbiased content Content is detail and describes both sides of a story and is not promoting a single product, idea or service. Accessibility A high quality website has versions for non PC users as well. It is important that mobile and tablet users can access the website without any usability issues. Usability Can the user navigate the website easily; is the website user friendly? Attention to detail Content is easy to read with images (if applicable) and free of spelling and grammar mistakes. Does it seem that the owner cares on what is published on the website or is it for the purpose of having content in order to run ads? SEO Optimized Optimizing a web site for search engines has many benefits but it is important not to overdo it. A good quality web site needs to have non-optimized content as well. This is my opinion and although some people may disagree it is a fact that over-optimization can sometimes generate the opposite results. The reason is that algorithms can sometimes interpret over-optimization as an attempt to game the system and they may take measures to prevent this from happening. Balance between content and ads It is not something bad for a website to have ads or promotions but these should not distract the users from finding the information they need. Speed A high quality website loads fast. A fast website will rank higher and create more conventions, sales and loyal readers. Social Social media changed our lives, the way we communicate but also the way we assess quality. It is expected for a good product to have good reviews, Facebook likes and Tweets. Before you make a decision to buy or not, you may examine these social factors as well. Likewise, It is also expected for a good website to be socially accepted and recognized i.e. have Facebook followers, RSS subscribers etc. User Engagement and Interaction Do users spend enough time on the site and read more than one pages before they leave? Do they interact with the content by adding comments, making suggestions, getting into conversations etc.? Better than the competition When you take a specific keyword, is your website better than your competitors? Does it deserve one of the top positions if judged without bias?

Singapore: Number of 20-foot containers passing through the ports: The latest value from 2022 is 37.29 million containers, a decline from 37.57 million containers in 2021. In comparison, the world average is 9.59 million containers, based on data from 86 countries. Historically, the average for Singapore from 2000 to 2022 is 28.75 million containers. The minimum value, 15.57 million containers, was reached in 2001 while the maximum of 37.57 million containers was recorded in 2021.