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

According to a report published by DataReportal, as of November 2023, the most visited website in Thailand was Google.com with approximately *** million monthly visits. This was followed by Youtube.com with around *** million monthly visits in that year.

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.

This dataset is available on Brisbane City Council’s open data website – data.brisbane.qld.gov.au. The site provides additional features for viewing and interacting with the data and for downloading the data in various formats.

Traffic data for key Brisbane City Council managed roads. Includes monthly traffic volume, travel time and speed.

The data which was received as Incomplete and Incorrect was marked as NA in the report.

Information on Traffic Management is available on the Brisbane City Council website.

This data was previously published in a different format in the following two datasets:

• Traffic Management — Key Corridor — Average Peak Travel times
• Traffic Management — Key Corridor — Performance Report.

The Data and resources section of this dataset contains further information for this dataset.

This is a dynamic traffic map service with capabilities for visualizing traffic speeds relative to free-flow speeds as well as traffic incidents which can be visualized and identified. The traffic data is updated every five minutes. Traffic speeds are displayed as a percentage of free-flow speeds, which is frequently the speed limit or how fast cars tend to travel when unencumbered by other vehicles. The streets are color coded as follows:Green (fast): 85 - 100% of free flow speedsYellow (moderate): 65 - 85%Orange (slow); 45 - 65%Red (stop and go): 0 - 45%Esri's historical, live, and predictive traffic feeds come directly from HERE (www.HERE.com). HERE collects billions of GPS and cell phone probe records per month and, where available, uses sensor and toll-tag data to augment the probe data collected. An advanced algorithm compiles the data and computes accurate speeds. Historical traffic is based on the average of observed speeds over the past three years. The live and predictive traffic data is updated every five minutes through traffic feeds. The color coded traffic map layer can be used to represent relative traffic speeds; this is a common type of a map for online services and is used to provide context for routing, navigation and field operations. The traffic map layer contains two sublayers: Traffic and Live Traffic. The Traffic sublayer (shown by default) leverages historical, live and predictive traffic data; while the Live Traffic sublayer is calculated from just the live and predictive traffic data only. A color coded traffic map image can be requested for the current time and any time in the future. A map image for a future request might be used for planning purposes. The map layer also includes dynamic traffic incidents showing the location of accidents, construction, closures and other issues that could potentially impact the flow of traffic. Traffic incidents are commonly used to provide context for routing, navigation and field operations. Incidents are not features; they cannot be exported and stored for later use or additional analysis. The service works globally and can be used to visualize traffic speeds and incidents in many countries. Check the service coverage web map to determine availability in your area of interest. In the coverage map, the countries color coded in dark green support visualizing live traffic. The support for traffic incidents can be determined by identifying a country. For detailed information on this service, including a data coverage map, visit the directions and routing documentation and ArcGIS Help.

Traffic data for key Brisbane City Council managed roads. Includes monthly traffic volume, travel time and speed.

The data which was received as Incomplete and Incorrect was marked as NA in the report.

Information on Traffic Management is available on the Brisbane City Council website.

This data was previously published in a different format in the following two datasets:

Traffic Management — Key Corridor — Average Peak Travel timesTraffic Management — Key Corridor — Performance Report.

The Data and resources section of this dataset contains further information for this dataset.

This dataset is available on Brisbane City Council’s open data website – data.brisbane.qld.gov.au. The site provides additional features for viewing and interacting with the data and for downloading the data in various formats.

Traffic Volume for Key Brisbane Corridors. Includes traffic volumes, travel times and incidents.

This dataset will no longer be updated. Data is being published in a new format in a new dataset called Traffic Management — Key Corridor — Monthly Performance Report.

Information on Traffic Management is available on the Brisbane City Council website.

This dataset contains the following resources:1. Traffic Volume for Key Brisbane Corridors.

Excel file containing: * 6-Month Average Daily, AM & PM Peak Traffic Volume * Network Daily Traffic Volume Comparison * 6-Month Average AM & PM Peak Travel Time * Network Travel Time Comparison * Incident Data * Note: volume day of the week and TT day of week was discontinued and is not included from Jul-Dec 2015

1. Traffic Volume for Key Brisbane Corridors.

Excel file containing: * 6-Month Average Daily, AM & PM Peak Traffic Volume * Network Daily Traffic Volume Comparison * 6-Month Average AM & PM Peak Travel Time * Network Travel Time Comparison * Incident Data * Average daily traffic volume for each day of the week (veh/day) * Travel time per kilometre by day of the week (mm:ss/km)

In the month of January 2024, the beauty and personal care retailer Nykaa had about **** million website visits. In comparison, the month of December in 2023 clocked over ten million monthly website visits.

Traffic Volume for Key Brisbane Corridors. Includes traffic volumes, travel times and incidents.This dataset will no longer be updated. Data is being published in a new format in a new dataset called Traffic Management — Key Corridor — Monthly Performance Report.Information on Traffic Management is available on the Brisbane City Council website.This dataset contains the following resources:Traffic Volume for Key Brisbane Corridors.

Excel file containing:

6-Month Average Daily, AM & PM Peak Traffic Volume Network Daily Traffic Volume Comparison 6-Month Average AM & PM Peak Travel Time Network Travel Time Comparison Incident Data Note: volume day of the week and TT day of week was discontinued and is not included from Jul-Dec 2015Traffic Volume for Key Brisbane Corridors.

Excel file containing:

6-Month Average Daily, AM & PM Peak Traffic Volume Network Daily Traffic Volume Comparison 6-Month Average AM & PM Peak Travel Time Network Travel Time Comparison Incident Data Average daily traffic volume for each day of the week (veh/day) Travel time per kilometre by day of the week (mm:ss/km)

Traffic data for key Brisbane City Council managed roads. Includes monthly averages for traffic volume, travel time and speed. Information on Traffic Management is available on the Brisbane City …Show full descriptionTraffic data for key Brisbane City Council managed roads. Includes monthly averages for traffic volume, travel time and speed. Information on Traffic Management is available on the Brisbane City Council website. This data was previously published in a different format in the following two datasets. Traffic Management — Key Corridor — Average Peak Travel times Traffic Management — Key Corridor — Performance Report

1. Record the monthly website traffic and pageviews of this government in both Chinese and English.2. Record the number of visitors and service applications for the government's online service platform.3. Record the number of government apps and total downloads.

The NRA Traffic Data website presents data collected from the NRA traffic counters located on the National Road Network. The Website uses a dynamic mapping interface to allow the User to access data in a variety of report formats. Counter data includes multi-day volume, daily volume, weekly volume, average week, monthly volume, monthly summary, and hourly direction

The FDOT Annual Average Daily Traffic feature class provides spatial information on Annual Average Daily Traffic section breaks for the state of Florida. In addition, it provides affiliated traffic information like KFCTR, DFCTR and TFCTR among others. This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 06/14/2025.Download Data: Enter Guest as Username to download the source shapefile from here: https://ftp.fdot.gov/file/d/FTP/FDOT/co/planning/transtat/gis/shapefiles/aadt.zip

The census count of vehicles on city streets is normally reported in the form of Average Daily Traffic (ADT) counts. These counts provide a good estimate for the actual number of vehicles on an average weekday at select street segments. Specific block segments are selected for a count because they are deemed as representative of a larger segment on the same roadway. ADT counts are used by transportation engineers, economists, real estate agents, planners, and others professionals for planning and operational analysis. The frequency for each count varies depending on City staff’s needs for analysis in any given area. This report covers the counts taken in our City during the past 12 years approximately.

As part of measuring impact of the NZThesisProject which uploaded metadata for 66,155 theses to Wikidata between May-July 2022, I looked at web sessions referred from Wikidata and Wikipedia (with Google Scholar as a control) to the New Zealand repositories the theses are held in.CSV files contain raw data downloaded by each library from their repository's Google Analytics account (prior to GA4) using a report on sessions per month with the referrer containing, respectively, "wikidata", "wikipedia", and "scholar.google". PNG files show a visualisation of the results.While there are some spikes in usage, these mostly don't appear to be aligned with the timeframe of the project. The increase in traffic from Wikidata is most likely associated with the project work itself. It may be too early for any effects of increasing the theses' profile to become evident.Thanks for sharing data to: Annabel Gooder (University of Auckland); Rudy bin Mahli (Auckland University of Technology); Anton Angelo (University of Canterbury); Catherine Woeber and Amanda Curnow (Massey University); David Church (Research Bank as part of Te Pūkenga); Max Sullivan (Victoria University of Wellington).

In December 2024, social video platform YouTube recorded approximately ** billion visits on ****** and over ** billion visits from users on ******* devices. The web visitors traffic count from *********************** appeared consistently higher than the ******* visit count in the examined months.

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.

In the measured time period, December 2024 saw the highest figures for online traffic to the fast fashion marketplace shein.com. According to the data, desktop and mobile visits to shein.com reached almost *** million visits that month. Shein's valuation Shein is among the private startups that rapidly reached a valuation of over *** billion dollars, otherwise known as unicorns. Among the top unicorn companies ranked in 2024, Shein was fifth with a total valuation of over ** billion U.S. dollars. In 2023, Shein was also the most visited fashion and apparel website worldwide, outpacing big names such as Nike and Zara. Global unicorn landscape: U.S. leads in numbers As of February 2024, the United States was the country with the most unicorn companies, ***, followed by China at ***. Although China does not have the most unicorns, ByteDance, the Chinese tech company that owns TikTok, had the highest valuation worldwide. Software and finance are the most likely industries for unicorn companies to form.

In November 2024, Google.com was the most popular website worldwide with 136 billion average monthly visits. The online platform has held the top spot as the most popular website since June 2010, when it pulled ahead of Yahoo into first place. Second-ranked YouTube generated more than 72.8 billion monthly visits in the measured period. The internet leaders: search, social, and e-commerce Social networks, search engines, and e-commerce websites shape the online experience as we know it. While Google leads the global online search market by far, YouTube and Facebook have become the world’s most popular websites for user generated content, solidifying Alphabet’s and Meta’s leadership over the online landscape. Meanwhile, websites such as Amazon and eBay generate millions in profits from the sale and distribution of goods, making the e-market sector an integral part of the global retail scene. What is next for online content? Powering social media and websites like Reddit and Wikipedia, user-generated content keeps moving the internet’s engines. However, the rise of generative artificial intelligence will bring significant changes to how online content is produced and handled. ChatGPT is already transforming how online search is performed, and news of Google's 2024 deal for licensing Reddit content to train large language models (LLMs) signal that the internet is likely to go through a new revolution. While AI's impact on the online market might bring both opportunities and challenges, effective content management will remain crucial for profitability on the web.