Be ready for a cookieless internet while capturing anonymous website traffic data!
By installing the resolve pixel onto your website, business owners can start to put a name to the activity seen in analytics sources (i.e. GA4). With capture/resolve, you can identify up to 40% or more of your website traffic. Reach customers BEFORE they are ready to reveal themselves to you and customize messaging toward the right product or service.
This product will include Anonymous IP Data and Web Traffic Data for B2B2C.
Get a 360 view of the web traffic consumer with their business data such as business email, title, company, revenue, and location.
Super easy to implement and extraordinarily fast at processing, business owners are thrilled with the enhanced identity resolution capabilities powered by VisitIQ's First Party Opt-In Identity Platform. Capture/resolve and identify your Ideal Customer Profiles to customize marketing. Identify WHO is looking, WHAT they are looking at, WHERE they are located and HOW the web traffic came to your site.
Create segments based on specific demographic or behavioral attributes and export the data as a .csv or through S3 integration.
Check our product that has the most accurate Web Traffic Data for the B2B2C market.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Attributes of sites in Hamilton City which collect anonymised data from a sample of vehicles. Note: A Link is the section of the road between two sites
Column_InfoSite_Id, int : Unique identiferNumber, int : Asset number. Note: If the site is at a signalised intersection, Number will match 'Site_Number' in the table 'Traffic Signal Site Location'Is_Enabled, varchar : Site is currently enabledDisabled_Date, datetime : If currently disabled, the date at which the site was disabledSite_Name, varchar : Description of the site locationLatitude, numeric : North-south geographic coordinatesLongitude, numeric : East-west geographic coordinates
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Disclaimer
Hamilton City Council does not make any representation or give any warranty as to the accuracy or exhaustiveness of the data released for public download. Levels, locations and dimensions of works depicted in the data may not be accurate due to circumstances not notified to Council. A physical check should be made on all levels, locations and dimensions before starting design or works.
Hamilton City Council shall not be liable for any loss, damage, cost or expense (whether direct or indirect) arising from reliance upon or use of any data provided, or Council's failure to provide this data.
While you are free to crop, export and re-purpose the data, we ask that you attribute the Hamilton City Council and clearly state that your work is a derivative and not the authoritative data source. Please include the following statement when distributing any work derived from this data:
‘This work is derived entirely or in part from Hamilton City Council data; the provided information may be updated at any time, and may at times be out of date, inaccurate, and/or incomplete.'
Google.com was the website with the most page views per day in Bolivia in February 2022, according to ranking by Alexa. The website had more than ***** daily page views and was followed by Unitel.bo, with ** page views per day that month. Within Latin America, Mexico was the country where Amazon Alexa contained the largest number of skills.
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 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.
http://www5.mississauga.ca/research_catalogue/CityofMississauga_TermsofUse.pdfhttp://www5.mississauga.ca/research_catalogue/CityofMississauga_TermsofUse.pdf
This dataset displays the number of page views each day in 2018 for mississauga.ca. This data is compiled by Google Analytics and is updated annually.
http://www5.mississauga.ca/research_catalogue/CityofMississauga_TermsofUse.pdfhttp://www5.mississauga.ca/research_catalogue/CityofMississauga_TermsofUse.pdf
This dataset displays the number of page views each day in 2016 for mississauga.ca. This data is compiled by Google Analytics and is updated annually.
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.
http://www5.mississauga.ca/research_catalogue/CityofMississauga_TermsofUse.pdfhttp://www5.mississauga.ca/research_catalogue/CityofMississauga_TermsofUse.pdf
This dataset displays the number of page views each day in 2017 for mississauga.ca. This data is compiled by Google Analytics and is updated annually.
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.
Website visit data with URLs, categories, timestamps, and anonymized unique device identifiers.
Over 50 million unique devices per day. 1 billion+ raw signals per month with historical raw data available.
This data can be combined with demographic and lifestyle data to provide a richer view of the anonymous users/devices.
Intended for training ML and AI models.
With more than 44,000 Portable Traffic Count (PTC) Stations located throughout North Carolina, Traffic Survey has adopted a collection schedule. Please see our website: https://www.ncdot.gov/projects/trafficsurvey/for further details. The data in this file was digitized referencing the available NCDOT Linear Referencing System (LRS) and is not the result of using GPS equipment in the field, nor latitude and longitude coordinates. The referencing provided is based on the 2015 Quarter 1 publication of the NCDOT Linear Referencing System (LRS). Some differences will be found when using different quarterly publications with this data set. The data provided is seasonally factored to an estimate of an annual average of daily traffic. The statistics provided are: CVRG_VLM_I: Traffic Survey's seven digit unique station identifier COUNTY: County NameROUTE: Numbered route identifier, or local name if not State maintainedLOCATION: Description of the Annual Average Daily Traffic station location AADT_2015: Estimated Annual Average Daily Traffic in vehicles per day for 2015AADT_2014: Estimated Annual Average Daily Traffic in vehicles per day for 2014AADT_2013: Estimated Annual Average Daily Traffic in vehicles per day for 2013 AADT_2012: Estimated Annual Average Daily Traffic in vehicles per day for 2012 AADT_2011: Estimated Annual Average Daily Traffic in vehicles per day for 2011 AADT_2010: Estimated Annual Average Daily Traffic in vehicles per day for 2010 AADT_2009: Estimated Annual Average Daily Traffic in vehicles per day for 2009 AADT_2008: Estimated Annual Average Daily Traffic in vehicles per day for 2008 AADT_2007: Estimated Annual Average Daily Traffic in vehicles per day for 2007 AADT_2006: Estimated Annual Average Daily Traffic in vehicles per day for 2006 AADT_2005: Estimated Annual Average Daily Traffic in vehicles per day for 2005 AADT_2004: Estimated Annual Average Daily Traffic in vehicles per day for 2004 AADT_2003: Estimated Annual Average Daily Traffic in vehicles per day for 2003 AADT_2002: Estimated Annual Average Daily Traffic in vehicles per day for 2002 Note: A value of zero in the AADT field indicates no available AADT data for that year. Please note the following: Not ALL roads have PTC stations located on them. With the exception of Interstate, NC and US routes, NCDOT County Maps refer to roads using a four digit Secondary Road Number, not a road’s local name. If additional information is needed, or an issue with the data is identified, please contact the Traffic Survey Group at 919 814-5116. Disclaimer related to the spatial accuracy of this file: Data in this file was digitized referencing the available NCDOT GIS Data Layer, LRS Arcs Shapefile Format from Quarter 1 release and is not the result of using GPS equipment in the field.North Carolina Department of Transportation shall not be held liable for any errors in this data. This includes errors of omission, commission, errors concerning the content of data, and relative positional accuracy of the data. This data cannot be construed to be a legal document.
https://www.sci-tech-today.com/privacy-policyhttps://www.sci-tech-today.com/privacy-policy
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.
A collection of historic traffic count data and guidelines for how to collect new data for Massachusetts Department of Transportation (MassDOT) projects.
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
AADT represents current (most recent) Annual Average Daily Traffic on sampled road systems. This information is displayed using the Traffic Count Locations Active feature class as of the annual HPMS freeze in January. Historical AADT is found in another table. Please note that updates to this dataset are on an annual basis, therefore the data may not match ground conditions or may not be available for new roadways. Resource Contact: Christy Prentice, Traffic Forecasting & Analysis (TFA), http://www.dot.state.mn.us/tda/contacts.html#TFA
Check other metadata records in this package for more information on Annual Average Daily Traffic Locations Information.
Link to ESRI Feature Service:
Annual Average Daily Traffic Locations in Minnesota: Annual Average Daily Traffic Locations
The total visits to Walmart.com peaked in November 2023 at 517 million, after reaching a low of approximately 369 million in September 2023. The months leading up to the winter holidays are typically the months with the highest web traffic in e-commerce in the United States.
Our statistical practice is regulated by the Office for Statistics Regulation (OSR). OSR sets the standards of trustworthiness, quality and value in the Code of Practice for Statistics that all producers of official statistics should adhere to. You are welcome to contact us directly by emailing transport.statistics@dft.gov.uk with any comments about how we meet these standards.
These statistics on transport use are published monthly.
For each day, the Department for Transport (DfT) produces statistics on domestic transport:
The associated methodology notes set out information on the data sources and methodology used to generate these headline measures.
From September 2023, these statistics include a second rail usage time series which excludes Elizabeth Line service (and other relevant services that have been replaced by the Elizabeth line) from both the travel week and its equivalent baseline week in 2019. This allows for a more meaningful like-for-like comparison of rail demand across the period because the effects of the Elizabeth Line on rail demand are removed. More information can be found in the methodology document.
The table below provides the reference of regular statistics collections published by DfT on these topics, with their last and upcoming publication dates.
Mode | Publication and link | Latest period covered and next publication |
---|---|---|
Road traffic | Road traffic statistics | Full annual data up to December 2024 was published in June 2025. Quarterly data up to March 2025 was published June 2025. |
Rail usage | The Office of Rail and Road (ORR) publishes a range of statistics including passenger and freight rail performance and usage. Statistics are available at the https://dataportal.orr.gov.uk/" class="govuk-link">ORR website. Statistics for rail passenger numbers and crowding on weekdays in major cities in England and Wales are published by DfT. |
ORR’s latest quarterly rail usage statistics, covering January to March 2025, was published in June 2025. DfT’s most recent annual passenger numbers and crowding statistics for 2023 were published in September 2024. |
Bus usage | Bus statistics | The most recent annual publication covered the year ending March 2024. The most recent quarterly publication covered January to March 2025. |
TfL tube and bus usage | Data on buses is covered by the section above. https://tfl.gov.uk/status-updates/busiest-times-to-travel" class="govuk-link">Station level business data is available. | |
Cycling usage | Walking and cycling statistics, England | 2023 calendar year published in August 2024. |
Cross Modal and journey by purpose | National Travel Survey | 2023 calendar year data published in August 2024. |
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The pNEUMA Vision dataset is the drone traffic imagery dataset that contains images of frame and vehicle annotations as positions. This dataset is the expansion of the pNEUMA, the urban trajectory dataset collected by swarms of drones in Athens.
For more details about pNEUMA and pNEUMA Vision, please check our website at https://open-traffic.epfl.ch and github.
The Annual Average Daily Traffic (AADT) is the estimated mean daily traffic volume and the Commercial Annual Average Daily Traffic (CAADT) is the estimated mean daily traffic volume for commercial vehicles. For continuous sites, estimates are calculated by summing the Annual Average Days of the Week and dividing by seven. For short-count sites, estimates are made by factoring a short count using seasonal and day-of-week adjustment factors.Data Coverage: The dataset covers the entire Federal Aid System in the State of Michigan.Update Cycle: AADT & CAADT volumes are created and released every year.Transportation Data Management System (TDMS) AADT Calculation HelpTraffic Monitoring Program
Be ready for a cookieless internet while capturing anonymous website traffic data!
By installing the resolve pixel onto your website, business owners can start to put a name to the activity seen in analytics sources (i.e. GA4). With capture/resolve, you can identify up to 40% or more of your website traffic. Reach customers BEFORE they are ready to reveal themselves to you and customize messaging toward the right product or service.
This product will include Anonymous IP Data and Web Traffic Data for B2B2C.
Get a 360 view of the web traffic consumer with their business data such as business email, title, company, revenue, and location.
Super easy to implement and extraordinarily fast at processing, business owners are thrilled with the enhanced identity resolution capabilities powered by VisitIQ's First Party Opt-In Identity Platform. Capture/resolve and identify your Ideal Customer Profiles to customize marketing. Identify WHO is looking, WHAT they are looking at, WHERE they are located and HOW the web traffic came to your site.
Create segments based on specific demographic or behavioral attributes and export the data as a .csv or through S3 integration.
Check our product that has the most accurate Web Traffic Data for the B2B2C market.