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Key information about United Kingdom Number of Subscriber Mobile

• United Kingdom Number of Subscriber Mobile was reported at 84,300,000.000 Person in Dec 2023
• This records an increase from the previous number of 81,700,000.000 Person for Dec 2022
• UK Number of Subscriber Mobile data is updated yearly, averaging 11,859,500.000 Person from Dec 1960 to 2023, with 52 observations
• The data reached an all-time high of 84,300,000.000 Person in 2023 and a record low of 0.000 Person in 1984
• UK Number of Subscriber Mobile data remains active status in CEIC and is reported by World Bank
• The data is categorized under World Trend Plus’s Association: Telecommunication Sector – Table UK.World Bank.WDI: Telecommunication

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Transcription

All audio files are accompanied by manually curated, time-coded verbatim transcriptions in JSON format.

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Metadata

Rich metadata is available for each participant and conversation:

Input dataset of the paper - 5G network deployment and the associated energy consumption in the UK: A complex systems’ exploration, including - postcode - area - number of mobile users - mobile user density - number of base stations - base station density

Comprehensive dataset of 188 Mobile network operators in United Kingdom as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 8,713 Cell phone stores in United Kingdom as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

English(the United Kingdom) Scripted Monologue Smartphone speech dataset, collected from monologue based on given scripts, covering generic domain, human-machine interaction, smart home command and in-car command, numbers and other domains. Transcribed with text content and other attributes. Our dataset was collected from extensive and diversify speakers(1,651 British people in total), geographicly speaking, enhancing model performance in real and complex tasks.Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

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Comprehensive dataset of 506 Mobile home dealers in United Kingdom as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

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This quarterly dataset for the UK fixed-line and mobile telecommunication markets contains data for aggregated call revenues, mobile phone and landline connections, call volumes, message volumes and subscriber numbers. The tables are published quarterly on the Ofcom website in pdf and csv formats.

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Quadrant provides Insightful, accurate, and reliable mobile location data.

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Hedonic quality adjustment was first introduced in the Consumer Prices Index (CPI) in 2003 for PCs. Since then the use of hedonics has expanded in UK consumer price statistics to include a further five technology products; digital cameras, laptops, mobile phones, pay as you go phones, smartphones and tablet PCs. This article reviews the use of hedonic quality adjustment in consumer price indices in the UK and internationally. It also details the reasons for changing the method of quality adjustment for pay-as-you-go phones and digital cameras, from hedonic adjustment to class mean imputation, from March 2014 onwards.

Source agency: Office for National Statistics

Designation: National Statistics

Language: English

Alternative title: Review of hedonic quality adjustment

Text file of Angus Council's mobile library locations

This de-duped Geospatial Mobility dataset is derived from first-party, consented, mobile app data. This data is de-identified prior to Intuizi processing it, and is the highest level, least aggregated dataset that we are able to provide to our customers.

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This is incredibly useful for understanding visitation patterns to specific locations in particular territories or regions.

Some of our customers may, in addition, have their own first-party dataset that they want to compare/contrast to a high-level set of de-identified data, thus enriching their existing dataset. They may want to compare visitation to (their own, or other specific) locations to those owned/operated by competitors; or understand where else the devices that show up in their owned/operated locations also happen to go. Please note: re-identification of an individual is contractually prohibited.

When processed against PoI data, it is used to generate our Visualisation Details Dataset, which is then used to create visualisations within our visualisation platform. It can also be further refined, for use as our Postal Origin or Country of Origin Dataset.

The Intuizi De-identified Signals Dataset comprises fully-consented mobile device data, de-identified at source by the entity which has legal consent to own/process such data, and on who’s behalf we work to create a de-identified dataset of Encrypted ID visitation/mobility data.

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