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or in part from Hamilton City Council data; the provided information may be updated at any time, and may at times be out of date, inaccurate, and/or incomplete.'

In the six months ending March 2024, the United States accounted for 26.95 percent of traffic to the online search website Google.com. India was ranked second, accounting for 4.52 percent of web visits to the platform, with Brazil coming in third place with 4.35 percent.

This statistic shows the unique daily internet audience of the monthly magazine National Geographic in Italy from January to November 2019. In November 2019, National Geographic reached on average about 12 thousand individuals via smartphone every day.

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 Relationship 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.'

The size and share of the market is categorized based on Type (Web Traffic Analytics, Conversion Analytics, User Behavior Analytics, SEO Analytics) and Application (Website Optimization, Marketing Performance, User Experience, Sales Tracking) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

In the six months ending March 2024, the United States accounted for 48.46 percent of traffic to the online forum Reddit.com. The United Kingdom was ranked second, accounting for 7.16 percent of web visits to the social media platform. Reddit in the United States In August 2023, Reddit accounted for slightly over 1.6 percent of social media website traffic in the United States. Founded in 2005, Reddit is a discussion website which enables users to aggregate news by posting links and let other users vote and comment on them. There are thousands of subforums, called subreddits, on a wide range of topics available. One of the most popular subreddits is the AMA (“Ask Me Anything”), where celebrities, public figures or people in unique positions post threads that allow other Reddit users to ask them anything. In 2022, Nicolas Cage's AMA post generated over 238.5 thousand upvotes, making it the most popular AMA of the year. Reddit users in the United States Reddit use in the United States is more prevalent among younger online audiences. During a February 2021 survey, it was found that 36 percent of internet users aged 18 to 29 years and 22 percent of users aged 30 to 49 years used Reddit. However, the reach of the social platform strongly declines with age. Also, whilst around a 23 of male adults in the U.S. access Reddit, only 12 percent of women do the same.

Locations of signalised intersections and signalised pedestrian crossings in Hamilton City

Column_InfoSite_Number, int : SCATS ID - Unique identifierRoad_1, varchar : First road descriptorRoad_2, varchar : Second road descriptor - 'Ped xing' means it is a mid-block pedestrian signalRoad_3, varchar : Third road descriptor if relevantSite_Type, varchar : Pedestrian crossing or intersection, and whether on a state highway or council roadIs_CBD, int : Site is within the CBD boundaryEasting, decimal : Eastward-measured distance in NZTM projectionNorthing, decimal : Northward-measured distance in NZTM projectionLatitude, decimal : North-south geographic coordinatesLongitude, decimal : East-west geographic coordinates

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This table is referenced by Traffic_Signal_Detector

Analytics

For convenience Hamilton City Council has also built a Quick Analytics Dashboard over this dataset that you can access here.

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.'

Geographical data provides relevant insight for a wide scope of applications, providing a robust picture of multiple geographical layers to enhance geospatial analysis, segmentation, personalization and audience engagement.

Acxiom combines data from multiple reliable private and public sources, summarizing individual and household data attributes for a given geographic level to create robust unique estimates for each area. The use of proven granular data and multivariate procedures ensure the projections accurately reflect the area. Once aggregated, it is no longer possible to identify individuals and the data can be considered anonymous, protecting consumers’ privacy in accordance with local and EU privacy laws.
An extensive range of demographic and lifestyle attributes are available, including:  Lifestage Demographics  Household Composition  Daytime Population  Home and Property  Income and Employment  Affordability and expenditure  Lifestyles, Interest and Charity  Automotive  Finance and Credit  Media, Channel and Technology  Personicx Segmentation Attributes are a combination of proportions, mean values and scores for a range of demographic, income and lifestyle data at a postcode level.

Use cases & Benefits: Elevate your analysis and marketing with an improved understanding of local areas and market potential to:  Optimize strategic planning for site location and sales territories  Define the right mix of products and services to offer based on market characteristics.  Target individuals geographically with online and offline communications

Visitor Management Report is Segmented by Software (Mobile Based, Web Based), by Deployment Mode (Cloud, On-Premise), by Service (Professional Services, Managed Services), by Application (Safety and Security Management, Compliance Management & Fraud Detection, Historical Visitor Tracking, Parking Management, and Other Applications), and by Geography (North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

Xverum’s Point of Interest (POI) Data is a comprehensive dataset of 230M+ verified locations, covering businesses, commercial properties, and public places across 5000+ industry categories. Our dataset enables retailers, investors, and GIS professionals to make data-driven decisions for business expansion, location intelligence, and geographic analysis.

With regular updates and continuous POI discovery, Xverum ensures your mapping and business location models have the latest data on business openings, closures, and geographic trends. Delivered in bulk via S3 Bucket or cloud storage, our dataset integrates seamlessly into geospatial analysis, market research, and navigation platforms.

🔥 Key Features:

📌 Comprehensive POI Coverage ✅ 230M+ global business & location data points, spanning 5000+ industry categories. ✅ Covers retail stores, corporate offices, hospitality venues, service providers & public spaces.

🌍 Geographic & Business Location Insights ✅ Latitude & longitude coordinates for accurate mapping & navigation. ✅ Country, state, city, and postal code classifications. ✅ Business status tracking – Open, temporarily closed, permanently closed.

🆕 Continuous Discovery & Regular Updates ✅ New business locations & POIs added continuously. ✅ Regular updates to reflect business openings, closures & relocations.

📊 Rich Business & Location Data ✅ Company name, industry classification & category insights. ✅ Contact details, including phone number & website (if available). ✅ Consumer review insights, including rating distribution (optional feature).

📍 Optimized for Business & Geographic Analysis ✅ Supports GIS, navigation systems & real estate site selection. ✅ Enhances location-based marketing & competitive analysis. ✅ Enables data-driven decision-making for business expansion & urban planning.

🔐 Bulk Data Delivery (NO API) ✅ Delivered in bulk via S3 Bucket or cloud storage. ✅ Available in structured formats (.csv, .json, .xml) for seamless integration.

🏆 Primary Use Cases:

📈 Business Expansion & Market Research 🔹 Identify key business locations & competitors for strategic growth. 🔹 Assess market saturation & regional industry presence.

📊 Geographic Intelligence & Mapping Solutions 🔹 Enhance GIS platforms & navigation systems with precise POI data. 🔹 Support smart city & infrastructure planning with location insights.

🏪 Retail Site Selection & Consumer Insights 🔹 Analyze high-traffic locations for new store placements. 🔹 Understand customer behavior through business density & POI patterns.

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💡 Why Choose Xverum’s POI Data? - 230M+ Verified POI Records – One of the largest & most structured business location datasets available. - Global Coverage – Spanning 249+ countries, covering all major business categories. - Regular Updates & New POI Discoveries – Ensuring accuracy. - Comprehensive Geographic & Business Data – Coordinates, industry classifications & category insights. - Bulk Dataset Delivery (NO API) – Direct access via S3 Bucket or cloud storage. - 100% GDPR & CCPA-Compliant – Ethically sourced & legally compliant.

Access Xverum’s 230M+ POI Data for business location intelligence, geographic analysis & market research. Request a free sample or contact us to customize your dataset today!

The size and share of the market is categorized based on Type (Website Performance Improvement, User Experience Enhancement, Marketing Optimization, Sales Conversion, Traffic Analysis) and Application (A/B Testing, Heatmaps, Conversion Rate Optimization, Speed Testing, SEO Tools) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

Countries and territories of the visitors of the website of the City of Brussels (2011), determined by the geographical area of their IP address. Source: Google Analytics.

Web Push Notification Software Market size was valued at USD 465.8 Million in 2024 and is projected to reach USD 1461.8 Million by 2031, growing at a CAGR of 21% from 2024 to 2031.

Web Push Notification Software Market Drivers

Increasing Mobile and Internet Penetration: The proliferation of mobile devices and the rapid rise in worldwide internet penetration are key drivers of the web push notification software industry. As more individuals acquire access to smartphones and the internet, the potential audience for web push notifications grows exponentially. This rise is especially noticeable in poorer countries where mobile devices are frequently used as the major means of internet access. Businesses see the chance to reach a bigger, more diversified audience by sending push notifications directly to user’s smartphones regardless of whether they have a specific app installed.
Tailored Customer Engagement: In today’s digital world, tailored marketing is an essential component of customer engagement plans. Web push notification software allows businesses to send highly tailored messages based on user behavior, preferences, and demographics. This customization is enabled by modern data analytics and machine learning algorithms that evaluate user data to provide insights and forecast consumer requirements and interests.
Enhanced Customer Retention and Engagement: Customer retention and engagement are critical to any business’s long-term success. Web push notifications are an effective technique for keeping ongoing communication with clients which increases retention rates. Unlike email or SMS marketing, push notifications are less obtrusive and more instantaneous attracting the user’s attention right away. This immediacy is critical in an era when customers are inundated with information and have short attention spans.

Locations of junctions and pedestrian crossings with traffic lights and SCATS sites’ detectors within the Dublin City Council administrative area. SCATS – SCATS (Sydney Coordinated Adaptive Traffic System) is an adaptive urban traffic management system that synchronises traffic signals to optimise traffic flow across a whole city, region or corridor. Attributes: SiteID : Site (signal and SCATS Site) identifier Site_Description_Cap : Site description in capital letters Site_Description_Lower: site description in lower case letters Region: refers to SCATS regional servers Lat: Geographic location (Latitude) Long : Geographic location (Longitude) Site_Type : Site type; it has two values: SCATS or Signal Site SCATS means that both SCATS detectors and traffic signals (traffic lights) are present.

Cities (municipalities) of origin of visitors to the website of the City of Brussels from Belgium, determined by their IP address. Source: Google Analytics.

Snapshot img

Digital Advertisement Spending Market Size 2024-2028

The digital advertisement spending market size is forecast to increase by USD 570.7 billion at a CAGR of 18.51% between 2023 and 2028. The digital advertising spending market is experiencing significant growth, driven by several key trends and factors. One major factor is the decline in offline ad spending as businesses increasingly shift their budgets toward digital channels. Another trend is the evolution of programmatic advertisement buying, which allows for more targeted and efficient ad placements. However, the market also faces challenges, particularly in the area of OTT (over-the-top) advertising. Video advertising, including photo and video ads, has gained immense popularity due to the rise of streaming platforms and smartphone devices. With the proliferation of streaming services and cord-cutting, advertisers are seeking effective strategies to reach audiences in this new media landscape. Overall, the digital advertising market is poised for continued growth, but advertisers must navigate these trends and challenges to maximize their impact and ROI.

Market Analysis

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The digital advertising spending market is a significant segment of the digital media industry, driven by the increasing usage of social media, video, search engines, mobile devices, laptops, and desktops. The market encompasses various sectors such as health care, media and entertainment, ecommerce websites, and technology infrastructure. In the digital world, advertisers invest heavily in online advertising, digital media, online portals, and digital marketplaces to reach their target audience. Social media platforms have also emerged as a major advertising channel, enabling businesses to engage with their customers in real-time.

The online population's growth and the shift from traditional television advertisement to digital video marketing are key factors driving the market's expansion. The digital advertising market is also influenced by technology advancements such as multifactor authentication, crypto currency, and digital creative services. These technologies provide enhanced security, convenience, and creativity, making digital advertising more effective and engaging for consumers. Overall, the digital advertising market is expected to continue growing, offering ample opportunities for businesses to reach their audience and thrive in the digital marketplace.

Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Type

  Display ad
  Search ad
  Others


Geography

  North America

    US


  APAC

    China
    Japan


  Europe

    Germany
    UK


  South America



  Middle East and Africa

By Type Insights

The display ad segment is estimated to witness significant growth during the forecast period. In the digital world, various forms of advertisement such as display, email, social media, video, and search engine advertising, are increasingly gaining popularity among businesses looking to reach their target audience online. According to recent studies, The market is projected to expand significantly over the next few years, driven by the widespread use of internet-connected devices like laptops, desktops, smartphones, and tablets. This growth can be attributed to the ability of digital media to provide targeted advertising through IP targeting, reaching both business-to-business (B2B) and business-to-consumer (B2C) customers directly. Digital ads come in various formats, including visual ads, photo video ads, and multifactor authentication ads, and can be found on online portals, ecommerce websites, streaming platforms, and technology and infrastructure websites.

The media and entertainment, health care, transport and tourism, IT and telecom industries are major contributors to the digital advertising market. Traditional television advertisement continues to coexist with digital video marketing, offering advertisers the flexibility to reach a mass audience through both channels. Moreover, the coronavirus pandemic has accelerated the shift toward digital advertising as businesses look for new ways to engage with their customers and adapt to changing consumer behavior. Digital creative services and strategic campaign development have become essential components of successful digital ad spending, ensuring that ads are tailored to the audience and delivered through the most effective channels.

Overall, the digital advertising market offers advertisers a cost-effective and measurable way to reach their target audience and drive conversions in the ever-evolving digital landscape.

Get a glance at the market share of various segments Request Free Sample

The display a

Ravelry.com is a website dedicated to fiber artists, such as knitters, spinners, and crocheters. In January 2025, it was one of the most visited crafts websites worldwide. That month, websites visits from the United States accounted for over half of total visits via desktop to Ravelry's web page.

This web map visualizes the percentage of households in a given geography that do not subscribe to broadband internet services. Data are shown by tract, county, and state boundaries -- zoom out to see data visualized for larger geographies. The map also displays the boundary lines for the jurisdiction of Rochester, NY (visible when viewing the tract level data), as this map was created for a Rochester audience.This web map draws from an Esri Demographics service that is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2014-2018ACS Table(s): B28001, B28002 (Not all lines of ACS table B28002 are available in this feature layer)Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 19, 2019National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -555555...) have been set to null. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small. NOTE: any calculated percentages or counts that contain estimates that have null margins of error yield null margins of error for the calculated fields.

GapMaps GIS data for USA and Canada sourced from Applied Geographic Solutions (AGS) includes an extensive range of the highest quality demographic and lifestyle segmentation products. All databases are derived from superior source data and the most sophisticated, refined, and proven methodologies.

GIS Data attributes include:

1. Latest Estimates and Projections The estimates and projections database includes a wide range of core demographic data variables for the current year and 5- year projections, covering five broad topic areas: population, households, income, labor force, and dwellings.

2. Crime Risk Crime Risk is the result of an extensive analysis of a rolling seven years of FBI crime statistics. Based on detailed modeling of the relationships between crime and demographics, Crime Risk provides an accurate view of the relative risk of specific crime types (personal, property and total) at the block and block group level.

3. Panorama Segmentation AGS has created a segmentation system for the United States called Panorama. Panorama has been coded with the MRI Survey data to bring you Consumer Behavior profiles associated with this segmentation system.

4. Business Counts Business Counts is a geographic summary database of business establishments, employment, occupation and retail sales.

5. Non-Resident Population The AGS non-resident population estimates utilize a wide range of data sources to model the factors which drive tourists to particular locations, and to match that demand with the supply of available accommodations.

6. Consumer Expenditures AGS provides current year and 5-year projected expenditures for over 390 individual categories that collectively cover almost 95% of household spending.

7. Retail Potential This tabulation utilizes the Census of Retail Trade tables which cross-tabulate store type by merchandise line.

8. Environmental Risk The environmental suite of data consists of several separate database components including: -Weather Risks -Seismological Risks -Wildfire Risk -Climate -Air Quality -Elevation and terrain

Primary Use Cases for GapMaps GIS Data:

1. Retail (eg. Fast Food/ QSR, Cafe, Fitness, Supermarket/Grocery)
2. Customer Profiling: get a detailed understanding of the demographic & segmentation profile of your customers, where they work and their spending potential
3. Analyse your trade areas at a granular census block level using all the key metrics
4. Site Selection: Identify optimal locations for future expansion and benchmark performance across existing locations.
5. Target Marketing: Develop effective marketing strategies to acquire more customers.

6. Integrate AGS demographic data with your existing GIS or BI platform to generate powerful visualizations.

7. Finance / Insurance (eg. Hedge Funds, Investment Advisors, Investment Research, REITs, Private Equity, VC)

8. Network Planning

9. Customer (Risk) Profiling for insurance/loan approvals

10. Target Marketing

11. Competitive Analysis

12. Market Optimization

13. Commercial Real-Estate (Brokers, Developers, Investors, Single & Multi-tenant O/O)

14. Tenant Recruitment

15. Target Marketing

16. Market Potential / Gap Analysis

17. Marketing / Advertising (Billboards/OOH, Marketing Agencies, Indoor Screens)

18. Customer Profiling

19. Target Marketing

20. Market Share Analysis

DescriptionPoint geographic dataset representing the location along a CDOT highway where that highway's linear reference system indicates a whole number reference point.Please note, mile posts are not necessarily found at milepoints.Last Update2023 (Except for an update to US 550A mile 15-16.8 and connectors which are effective as of December 31, 2024)Update FrequencyAs neededData OwnerDivision of Transportation DevelopmentData ContactGIS Support UnitCollection MethodProjectionNAD83 / UTM zone 13NCoverage AreaStatewideTemporalDisclaimer/LimitationsThere are no restrictions and legal prerequisites for using the data set. The State of Colorado assumes no liability relating to the completeness, correctness, or fitness for use of this data.