Internet use in the UK annual estimates by age, sex, disability, ethnic group, economic activity and geographical location, including confidence intervals.

Introduction

Website Statistics: The internet landscape is constantly evolving, and understanding the dynamics of website development and browser usage is crucial for businesses and individuals alike. In 2024, the web design and development industry has grown significantly, driven by increased demand for innovative and responsive web solutions. Major browsers like Google Chrome, Safari, and Microsoft Edge dominate the market, each offering unique features that cater to diverse user needs.

This article delves into the latest statistics, market shares, and technological trends in the web development and browser domains, providing valuable insights to help you navigate the digital world effectively.

Introduction

Online Video Platform Statistics: An Online Video Platform (OVP) is a crucial digital infrastructure for hosting, managing, and delivering video content online.

It facilitates content uploading, organization, and playback across various devices with adaptive streaming capabilities.

OVPs support monetization through advertising, subscriptions, or pay-per-view models alongside robust analytics for tracking viewer engagement and performance metrics.

They offer customization options for branding and player interfaces, ensuring a seamless user experience. Security features like encryption and DRM safeguard content, while integration with other platforms and APIs enables extended functionality and automation.

OVPs also cater to live streaming needs, making them versatile tools for media, entertainment, education, and corporate sectors seeking reliable video distribution solutions.

WP-Script is a company that provides WordPress themes and plugins for creating adult sites. They offer a range of products, including seven customizable adult WordPress themes and thirteen powerful adult WordPress plugins. Their products are designed to be easy to use and can help entrepreneurs create professional-looking adult sites with minimal technical expertise.

With WP-Script, you can start your adult site in six easy steps. They also offer a 14-day money-back guarantee, giving you the opportunity to test their products risk-free. Additionally, they provide premium support to help you resolve any issues you may encounter. Their customers love their products, citing excellent themes, easy installation, and good customer support.

Introduction

Internet of Things Statistics: The Internet of Things (IoT) is revolutionizing the way devices and systems interact, paving the way for a new age of connectivity and automation. As smart devices, ranging from home appliances to industrial equipment, become more prevalent, IoT forms an interconnected network that facilitates real-time data exchange and automation across numerous sectors.

The expansion of 5G networks, combined with advancements in artificial intelligence (AI) and machine learning, further amplifies the potential of the Internet of Things (IoT), driving efficiency and creating new opportunities in industries such as healthcare, manufacturing, logistics, and agriculture. While IoT holds the promise of increased productivity, cost reductions, and innovative business models, it also introduces challenges related to data privacy, security, and regulatory concerns.

As the Internet of Things (IoT) continues to evolve, its influence on both industries and daily life is expected to grow significantly.

The number of internet users globally will grow to 5.3 billion by 2023, according to the source. The compound annual growth rate for the whole period from 2018 to 2023 is six percent. The fastest expected growth from this period was in 2019, with 300 million new internet users and a growth rate of 7.7 percent from 2018.

TEMPO-Online provides the following functions and services: Free access to statistical information.Export of tables in .csv and .xls formats and its printing. What is the content of TEMPO-Online? The National Institute of Statistics offers a statistical database, TEMPO-Online, that gives the possibility to access a large range of information.The content of the above-mentioned database consists of:Approximately 1100 statistical indicators, divided in socio-economical fields and sub-fields; Metadata associated to the statistical indicators (definition, starting and ending year of the time series, the last period of data loading, statistical methodology, the last updating); Detailed indicators at statistical characteristics group and/or sub-group level ( ex. The total number of employees at the end of the year by employee category, activities of the national economy - sections, sexes, areas and counties); Time series starting with 1990 - till today: With a monthly, quarterly, semi-annual and annual frequency; At national level, development region level, county and commune level. Search according to key words The search key words allows the finding of various objects (tables with statistical variables divided on time series). The search will give back results based on the matrix code and on the key words in the title or in the definition of a matrix. The result of the search will show on a list with specific objects. For a key word, one can use the searching section from the menu bar on the left.Tables As a whole, the tables that result following an interrogation have a flexible structure. For instance, the user may select the variables and attributes with the help of the interrogation interface, according to his needs.The user can save the table that results following an interrogation in .csv and .xls formats and its printingNote: in order to access tables at place level (very large), the user has to select each county with the respective places, so that the access be faster and avoid technical blocks.

Website: http://statistici.insse.ro/shop/?lang=en

PredictLeads Job Openings Data provides high-quality hiring insights sourced directly from company websites - not job boards. Using advanced web scraping technology, our dataset offers real-time access to job trends, salaries, and skills demand, making it a valuable resource for B2B sales, recruiting, investment analysis, and competitive intelligence.

Key Features:

✅214M+ Job Postings Tracked – Data sourced from 92 Million company websites worldwide. ✅7,1M+ Active Job Openings – Updated in real-time to reflect hiring demand. ✅Salary & Compensation Insights – Extract salary ranges, contract types, and job seniority levels. ✅Technology & Skill Tracking – Identify emerging tech trends and industry demands. ✅Company Data Enrichment – Link job postings to employer domains, firmographics, and growth signals. ✅Web Scraping Precision – Directly sourced from employer websites for unmatched accuracy.

Primary Attributes:

• id (string, UUID) – Unique identifier for the job posting.
• type (string, constant: "job_opening") – Object type.
• title (string) – Job title.
• description (string) – Full job description, extracted from the job listing.
• url (string, URL) – Direct link to the job posting.
• first_seen_at – Timestamp when the job was first detected.
• last_seen_at – Timestamp when the job was last detected.
• last_processed_at – Timestamp when the job data was last processed.

Job Metadata:

• contract_types (array of strings) – Type of employment (e.g., "full time", "part time", "contract").
• categories (array of strings) – Job categories (e.g., "engineering", "marketing").
• seniority (string) – Seniority level of the job (e.g., "manager", "non_manager").
• status (string) – Job status (e.g., "open", "closed").
• language (string) – Language of the job posting.
• location (string) – Full location details as listed in the job description.
• Location Data (location_data) (array of objects)
• city (string, nullable) – City where the job is located.
• state (string, nullable) – State or region of the job location.
• zip_code (string, nullable) – Postal/ZIP code.
• country (string, nullable) – Country where the job is located.
• region (string, nullable) – Broader geographical region.
• continent (string, nullable) – Continent name.
• fuzzy_match (boolean) – Indicates whether the location was inferred.

Salary Data (salary_data)

• salary (string) – Salary range extracted from the job listing.
• salary_low (float, nullable) – Minimum salary in original currency.
• salary_high (float, nullable) – Maximum salary in original currency.
• salary_currency (string, nullable) – Currency of the salary (e.g., "USD", "EUR").
• salary_low_usd (float, nullable) – Converted minimum salary in USD.
• salary_high_usd (float, nullable) – Converted maximum salary in USD.
• salary_time_unit (string, nullable) – Time unit for the salary (e.g., "year", "month", "hour").

Occupational Data (onet_data) (object, nullable)

• code (string, nullable) – ONET occupation code.
• family (string, nullable) – Broad occupational family (e.g., "Computer and Mathematical").
• occupation_name (string, nullable) – Official ONET occupation title.

Additional Attributes:

• tags (array of strings, nullable) – Extracted skills and keywords (e.g., "Python", "JavaScript").

📌 Trusted by enterprises, recruiters, and investors for high-precision job market insights.

PredictLeads Dataset: https://docs.predictleads.com/v3/guide/job_openings_dataset

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.

This dataset contains statistics related to the Unleashed website (http://uladl.com). Unleashed is an open data competition, an initiative of the Office for Digital Government, Department of the Premier and Cabinet. The data is used to monitor the level of engagement activity with the audience, and make the communication effective in regards to the event.

Mobile has become the main way to access online content. Mobile devices now account for 55% of the global market share of online access with desktops coming in second place at 43%.

Website analytics for www.cambridgeshire.net between 2009 and 2013

Introduction

Digital Footprint Statistics: A digital footprint is the trail of information people leave behind when using the internet. It includes everything from social media posts to online searches, websites visited, and emails sent. Some of this data is shared intentionally, like posting on Facebook, while other parts are collected automatically, like tracking cookies from websites.

A digital footprint can be active, meaning data is shared by choice, or passive, meaning it is collected without you realizing it. It's important to manage your digital footprint because it can affect your privacy, reputation, and even job opportunities in the future. Understanding it helps you stay safe online.

This statistic displays the results of a survey on the share of individuals expressing privacy concerns regarding their personal data on the internet in Italy in 2016. During the survey period, it was found that **** percent of the respondents reported that the use of the internet exposes each one to be tracked and followed up while **** percent stated that privacy was not a real problem.

Summary statistics are fundamental to data science, and are the buidling blocks of statistical reasoning. Most of the data and statistics made available on government web sites are aggregate, however, until now, we have not had a suitable linked data representation available. We propose a way to express summary statistics across aggregate groups as linked data using Web Ontology Language (OWL) Class based sets, where members of the set contribute to the overall aggregate value. Additionally, many clinical studies in the biomedical field rely on demographic summaries of their study cohorts and the patients assigned to each arm. While most data query languages, including SPARQL, allow for computation of summary statistics, they do not provide a way to integrate those values back into the RDF graphs they were computed from. We represent this knowledge, that would otherwise be lost, through the use of OWL 2 punning semantics, the expression of aggregate grouping criteria as OWL classes with variables, and constructs from the Semanticscience Integrated Ontology (SIO), and the World Wide Web Consortium's provenance ontology, PROV-O, providing interoperable representations that are well supported across the web of Linked Data. We evaluate these semantics using a Resource Description Framework (RDF) representation of patient case information from the Genomic Data Commons, a data portal from the National Cancer Institute.

Graph and download economic data for All Employees, Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (CES5051800001) from Jan 1990 to Jul 2025 about information, establishment survey, services, employment, and USA.

Data collected from www.vmia.vic.gov.au and used for the measurement, analysis and reporting of for the purposes of understanding of web users online experience and behaviour, in order to improve it.

This data set contains Offshore Statistics by Water Depth.

The Kimberley Process (KP) is a system that unites administrations, civil societies and industry in the aim of reducing the flow of conflict diamonds around the world. The Kimberley Process Public Statistics Area is a web page with annual aggregated statistical data relating to the production and trade in rough diamonds.

Website: https://kimberleyprocessstatistics.org/public_statistics

Statistical data grouped, aggregated and sorted by years and months