Web traffic statistics for the several City-Parish websites, brla.gov, city.brla.gov, Red Stick Ready, GIS, Open Data etc. Information provided by Google Analytics.

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.

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.

Digital technology and Internet use, website traffic strategies, by North American Industry Classification System (NAICS) and size of enterprise for Canada from 2012 to 2013.

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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.

As of 2019, direct traffic accounts for the largest percentage of website traffic worldwide, with a share of 55 percent. Additionally, search traffic accounts for 29 percent of worldwide website traffic.

Introduction

Tor Statistics: Tor is a free network that helps people stay anonymous online. It works using open-source software and depends on more than 7,000 volunteer-run relays across the world. Tor, known as “The Onion Router,†is a free tool that helps protect your identity and activity online.

It helps in hiding location and internet use by passing your data through many different servers, called relays, run by volunteers around the globe. Tor is built on open-source software and is widely used by journalists, activists, and everyday users who value their privacy. It was developed by the Tor Project and initially released on September 20, 2002.

This article includes several statistical analyses from different sources covering the overall market trend, features, types, user bases, demographics, countries, traffic shares, and many other factors.

A complete list of live websites using the Visitors Traffic Real Time Statistics technology, compiled through global website indexing conducted by WebTechSurvey.

A report of website traffic broken down by country of origin

Introduction

Buffer vs Hootsuite Statistics: Buffer and Hootsuite are working against each other for supremacy in scheduling, analytics, collaboration, and affordability. Buffer offers simple interfaces and transparent pricing for creators and small and medium enterprises. Hootsuite markets to larger enterprises for deep analytics, bulk management tools, and integrations comprising its internal operations.

This comprehensive Buffer vs Hootsuite statistics focuses on user growth, satisfaction, pricing, features, and ease of use, all backed by numbers and insights from various sources. So, by the end, you will have an informative and data-driven sense of what platform will suit your needs better.

EdTech Statistics: The EdTech enterprise has been growing at a remarkable evolve in recent years, and by 2023 the market revenue is going to be $142.37 billion approximately. According to current market reviews, the worldwide market is anticipated to reach a cost of $549.6 billion by means of 2032, with a CAGR of 14.2% from 2024 to 2033. North America presently dominates the global educational Tech market, with a sales proportion of 36%, attributed to massive-scale investment through challenge capitalist investments and personal fairness traders. The corporate digital marketplace is expected to develop a valuation of $27.5 billion in 2023 with a CAGR of 10.5% and $44.6 billion by the end of 2028. In this text, we will delve deeper into the Educational Technology statistics for 2023, along with the total range of players inside the industry, country-wise statistics, leading platform facts, and future records. We may even discover the recognition of these platforms and provide some interesting statistics approximately the industry. So, let's dive in and take a better look at the booming Educational Tech enterprise. Key Takeaways (Reference: grandviewresearch.com) As of 2023, the full marketplace worth of Education Technology is looking ahead to be $142.37 billion. The international Educational Tech marketplace is predicted to attain a value of $421 billion by 2032. North America dominates the global market, with a revenue proportion of 36%. In this newsletter, we are able to explore the records for 2023, together with marketplace percentage, utilization information, demographics, and internet site traffic sources. Over the last 5 years, the demand and searches have improved by 232% in this sector.

Introduction

Fitbit statistics: In today's health-conscious society, monitoring personal wellness metrics has become increasingly important. Fitbit, a leader in wearable technology, offers users detailed insights into their daily activities, sleep patterns, and heart health. On average, Fitbit users take between 10,000 to 18,000 steps per day, aligning with general fitness recommendations.

Sleep tracking data reveals that users typically achieve about 6.5 hours of sleep each night, accompanied by an average Sleep Score of 77. Regarding cardiovascular health, the average resting heart rate among Fitbit users is approximately 65 beats per minute, with variations influenced by factors such as age and gender. These statistics underscore Fitbit's role in providing users with actionable data to support their health and wellness goals.

Let's delve into the fascinating insights through Fitbit statistics and explore what they can tell us about the brand’s performance in 2025.

Comprehensive analysis of Amazon's daily website traffic including visitor counts, traffic sources, mobile vs desktop usage, and seasonal patterns based on May 2025 data.

According to the results of a survey conducted worldwide in 2023, nearly **** of responding digital marketers believed artificial intelligence (AI) would have a positive impact on website search traffic in the next five years. Some ** percent stated AI would have a neutral effect, while ** percent agreed that the technology would negatively impact search traffic.

This dataset consists of 24-hour traffic volumes which are collected by the City of Tempe high (arterial) and low (collector) volume streets. Data located in the tabular section shares with its users total volume of vehicles passing through the intersection selected along with the direction of flow.Historical data from this feature layer extends from 2016 to present day.Contact: Sue TaaffeContact E-Mail: sue_taaffe@tempe.govContact Phone: 480-350-8663Link to embedded web map:http://www.tempe.gov/city-hall/public-works/transportation/traffic-countsLink to site containing historical traffic counts by node: https://gis.tempe.gov/trafficcounts/Folders/Data Source: SQL Server/ArcGIS ServerData Source Type: GeospatialPreparation Method: N/APublish Frequency: As information changesPublish Method: AutomaticData Dictionary

Visitors Statistics MFSR - Website traffic statistics by country (daily)

Businesses, researchers, and developers often seek out web activity datasets and databases to: Understand consumer behavior. Train machine learning models. Perform market research or competitor analysis. Optimize user experience on websites. Personalize content and advertising. This data can be used for a variety of different use cases

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.

Web traffic statistics for the top 2000 most visited pages on nyc.gov by month.