This is an overview of geographical cash access coverage in the UK at the end of the fourth quarter (October to December) of 2022. This monitoring forms part of the FCA’s work on access to cash.

On a quarterly basis, the FCA, along with the Payment Systems Regulator (PSR), gather and update data on access to cash. This captures the locations of cash access points and other relevant information like temporary closures, opening hours, and accessibility. This data covers brick-and-mortar, mobile bank, and building society branches, automated teller machines (ATMs), and the Post Office network. We supplement this information with annual data on cashback locations.

Previously the summary focused on coverage within 2km and 5km of a cash access point. Starting this quarter the primary measurements of coverage will focus on deposit and withdrawal facilities in urban areas at 1 mile and rural areas at 3 miles.

The FCA estimates that for access to larger banks and building societies providing Personal Current Accounts (PCA) and Post Office: all branches, including mobile bank branches:

• 97.4% of the UK urban population are currently within 1 mile of a free-to-use cash access point offering deposits
• 98.3% of the UK rural population are currently within 3 miles of a free-to-use cash access point offering deposits

The FCA estimates that for access to any bank, building society, Post Office branch, or any free ATM:

• 99.3% of the UK urban population are currently within 1 mile of a free-to-use cash access point offering withdrawals
• 98.7% of the UK rural population are currently within 3 miles of a free-to-use cash access point offering withdrawals

This layer of the GeoIndex shows the location of available 1:10000 scale digital geological maps within Great Britain. The Digital Geological Map of Great Britain project (DiGMapGB) has prepared 1:625 000, 1:250 000 and 1:50 000 scale datasets for England, Wales and Scotland. The datasets themselves are available as vector data in a variety of formats in which they are structured into themes primarily for use in geographical information systems (GIS) where they can be integrated with other types of spatial data for analysis and problem solving in many earth-science-related issues. The DiGMapGB-10 dataset is as yet incomplete, current work is concentrated on extending the geographical cover, especially to cover high priority urban areas.

The UEFA Europa League is an annual soccer competition contested among domestic clubs from leagues around Europe. The tournament ranks below the UEFA Champions League, which is the premier club competition for teams in Europe. During an April 2021 survey in the United Kingdom, just seven percent of respondents aged 65 or older stated that they were avid fans of the Europa League, while 54 percent stated that they were not Europa League fans.

The UEFA Europa League is an annual soccer competition contested among domestic clubs from leagues around Europe. The tournament ranks below the UEFA Champions League, which is the premier club competition for teams in Europe. During an April 2021 survey in the United Kingdom, 14 percent of respondents stated that they were avid fans of the Europa League, while 52 percent stated that they were not Europa League fans.

This product leverages first-party and third party data sources. It provides anonymized statistics helpful to: - measure the overall transport & logistics activity in Europe and in the UK (depending on the source), potentially potentially by type of goods transported (works, goods transportation, refrigerated...) - provide insights about origins and destinations of vehicles & trucks across Europe, in the UK between cities, communities... - identify stops and standstill areas of trucks, vans and all types of vehicles

All these statistics can feed various use cases: - marketing study for mobility advisory firms (Origins, Destinations, Stops / Standstill) that try to understand how the EV trucks are going to develop - help with marketing and geomarketing use cases to identify where to build / open a new branch or site - help explain and / or predict performance of businesses across geographies

Use cases: ==> Transport & logistics analytics: Traffic consultants, road operators, municipalities and SaaS analytics platforms use our data for understanding road safety, road usage ==> Supply chain: managers trying to look after new transport & logistics solutions ==> Site-selection : Our data help companies looking to open EV charging stations, new shops and stores where the traffic is adapted to their business ==> Dynamic pricing / geomarketing : Our data help companies adjust prices across geographies

This product leverages first-party and third party data sources. It provides anonymized statistics at polygon level helpful to: - measure the overall truck & car & van activity in Europe and in the UK (depending on the source), potentially potentially by type of goods transported (works, goods transportation, refrigerated...) - provide insights about origins and destinations of vehicles & trucks across Europe, in the UK between cities, communities... - identify stops and standstill areas of trucks, vans and all types of vehicles

All these statistics at polygon level can feed various use cases: - market study for mobility advisory firms (Origins, Destinations, Stops / Standstill) that try to understand how the EV trucks are going to develop in a given H3 polygon - help with marketing and geomarketing use cases to identify where to build / open a new branch or site - help explain and / or predict performance of businesses across geographies

Use cases: ==> Transport analytics: Traffic consultants, road operators, municipalities and SaaS analytics platforms use our data for understanding road safety, road usage ==> Site-selection / marketing : Our data help companies looking to open EV charging stations, new shops and stores where the traffic is adapted to their business ==> Dynamic pricing / geomarketing : Our data help companies adjust prices across geographies

Smart Insider’s Global Share Buyback Database offers invaluable insights to investors on stock market data. We provide detailed, up-to-date share buyback data covering over 55,000 companies globally and over 8,000+ in Europe & UK, that’s every company that reports Buybacks through regulatory processes.

Our Share buyback data includes detailed information on all major buyback transactions including source announcements and derived analysis fields. Our platform adds a visual representation of the data, allowing investors to quickly identify patterns and make decisions based on their findings.

Get detailed share buyback insights with Smart Insider and stay ahead of the curve with accurate, historical buyback insight that helps you make better investment decisions.

We provide full customization of reports delivered by desktop, through feeds, or alerts. Our quant clients can receive data in a variety of formats such as CSV, XML or XLSX via SFTP, API or Snowflake.

Sample dataset for Desktop Service has been provided with limited fields. Upon request, we can provide a detailed Quant sample.

Tags: Equity Market Data, Stock Market Data, Corporate Actions Data, Corporate Buyback Data, Company Financial Data, Insider Trading Data

When there is a vast variety of metrics and tools available to gain market insight, Insider trading offers valuable clues to investors related to future share performance. We at Smart Insider provide global insider trading data and analysis on share transactions made by directors & senior staff in the shares of their own companies.

Monitoring all the insider trading activity is a huge task, we identify 'Smart Insiders' through specialist desktop and quantitative feeds that enable our clients to generate alpha.

Our experienced analyst team use quantitative and qualitative methods to identify the stocks most likely to outperform based on deep analysis of insider trades, and the insiders themselves. Using our easy-to-read derived data we help our clients better understand insider transactions activity to make informed investment decisions.

We provide full customization of reports delivered by desktop, through feeds, or alerts. Our quant clients can receive data in a variety of formats such as XML, XLSX or API via SFTP or Snowflake.

Sample dataset for Desktop Service has been provided with some proprietary fields concealed. Upon request, we can provide a detailed Quant sample.

Tags: Stock Market Data, Equity Market Data, Insider Transactions Data, Insider Trading Intelligence, Trading, Investment Management, Alternative Investment, Asset Management, Equity Research, Market Analysis, United Kingdom, Europe

We have successfully extracted a comprehensive news dataset from CNBC, covering not only financial updates but also an extensive range of news categories relevant to diverse audiences in Europe, the US, and the UK. This dataset includes over 500,000 records, meticulously structured in JSON format for seamless integration and analysis.

Diverse News Segments for In-Depth Analysis

This extensive extraction spans multiple segments, such as:

• Business and Market Analysis: Stay updated on major companies, mergers, and acquisitions.
• Technology and Innovation: Explore developments in AI, cybersecurity, and digital transformation.
• Economic Forecasts: Access insights into GDP, employment rates, inflation, and other economic indicators.
• Geopolitical Developments: Understand the impact of political events and global trade dynamics on markets.
• Personal Finance: Learn about saving strategies, investment tips, and real estate trends.

Each record in the dataset is enriched with metadata tags, enabling precise filtering by region, sector, topic, and publication date.

Why Choose This Dataset?

The comprehensive news dataset provides real-time insights into global developments, corporate strategies, leadership changes, and sector-specific trends. Designed for media analysts, research firms, and businesses, it empowers users to perform:

• Trend Analysis
• Sentiment Analysis
• Predictive Modeling

Additionally, the JSON format ensures easy integration with analytics platforms for advanced processing.

Access More News Datasets

Looking for a rich repository of structured news data? Visit our news dataset collection to explore additional offerings tailored to your analysis needs.

Sample Dataset Available

To get a preview, check out the CSV sample of the CNBC economy articles dataset.

EuroGlobalMap is a 1:1 million scale topographic dataset covering 45 countries and territories in the European region. EuroGlobalMap is perfect for use as background to many applications from planning, monitoring and network analysis to presenting environmental policies. The dataset contains six themes: Administrative boundaries/The water network/Transport networks/Settlements/Elevation/Names locations. Simple, but useful at certain scales. This data is for the who;e of Europe, if you are interested in just GB, then please grab the GB data, it is more manageable. http://www.sharegeo.ac.uk/handle/10672/374. Layer files have been created to theme this data, you can use them or create your own style. When using this data, please attribute the source as EuroGeographics and refer to their Opendata licence which can be found here: http://www.eurogeographics.org/content/eurogeographics-euroglobalmap-opendata. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2013-04-18 and migrated to Edinburgh DataShare on 2017-02-22.

GOLSPIE (Government On-Line Sustainability Performance Information Exchange) is the online platform for disclosure on the sustainability performance of the Scottish Government Estate. Automatic Meter Readings provide utilities consumption readings every 30 minutes and will allow patterns of use to be identified on an individual building basis. Data for 4 government buildings in Glasgow for electricity/gas consumption on a half-hourly and daily basis is accessed from the GOLSPIE database using SPARQL queries. Note that the queries only return the top 1000 records and to obtain more use the 'OFFSET' instruction Data provided dynamically through a query covering the period from 2013-01-01 to the current date. Licence: None Europa Building location data.html - https://dataservices.open.glasgow.gov.uk/Download/Organisation/728522f0-86da-48c6-8f75-1649934eb8a4/Dataset/5b92b792-58dd-4639-b1b3-b34daad13b2c/File/ccc72cf8-cde1-4e24-ae96-2d5ed6ce81b8/Version/d4513727-cb5b-4805-a4cd-c9aa78125238 europabuildinghalfhourlyelectricity-sparql.txt - https://dataservices.open.glasgow.gov.uk/Download/Organisation/728522f0-86da-48c6-8f75-1649934eb8a4/Dataset/5b92b792-58dd-4639-b1b3-b34daad13b2c/File/1a132a85-f460-4391-8217-4a1c1efe61fa/Version/5d0f2e9f-3e5e-463b-a097-39f3a2f72529

A private vehicle was by far the most preferred type for residents of the United Kingdom (UK) for travelling to Europe in 2019 via sea routes and Channel Tunnel, with nearly 7.2 million visits, significantly overtaking foot travel at 3.57 million visits.

The number of international tourist arrivals from Europe to the United Kingdom rose in 2023 over the previous year. Overall, inbound visits from Europe totaled nearly 25 million in 2023, growing from 20.98 million in 2022. Since 2011, the year with the highest volume of inbound visits from Europe was 2016, when they numbered 27.32

This dataset contains parametric data (epicentre, magnitude, depth, etc) for over one million earthquakes worldwide. The dataset has been compiled gradually over a period of thirty years from original third-party catalogues, and parameters have not been revised by BGS, although erroneous entries have been flagged where found. The dataset is kept in two versions: the complete "master" version, in which all entries for any single earthquake from contributing catalogue are preserved, and the "pruned" version, in which each earthquake is represented by a single entry, selected from the contributing sources according to a hierarchy of preferences. The pruned version, which is intended to be free from duplicate entries for the same event, provides a starting point for studies of seismicity and seismic hazard anywhere in the world.

Credit report of Ktl Europe Uk Ltd contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

The European cloud computing market, valued at €173.69 billion in 2025, is experiencing robust growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 16.22% from 2025 to 2033. This surge is driven by several key factors. Increasing digital transformation initiatives across various sectors, including manufacturing, BFSI, and healthcare, are fueling demand for cloud-based solutions. Businesses are increasingly adopting cloud services to enhance operational efficiency, improve data management, and gain a competitive edge. The rise of big data analytics and the Internet of Things (IoT) also contribute significantly to market expansion. Furthermore, the increasing adoption of hybrid cloud models, offering a blend of public and private cloud infrastructure, is further accelerating growth. Government regulations promoting digitalization and cybersecurity are also playing a supportive role. Large enterprises are leading the adoption, followed by SMEs, reflecting a broad-based market penetration. The UK, Germany, and France represent the largest national markets within Europe, driven by strong digital infrastructure and a high concentration of technology-driven businesses. Despite this positive outlook, certain challenges persist. Concerns regarding data security and privacy, particularly with sensitive information stored in the cloud, remain a significant restraint. The complexity of migrating legacy systems to cloud-based environments and the associated costs can also hinder adoption, especially for smaller businesses. However, ongoing advancements in cloud security technologies, coupled with increased awareness of cloud benefits, are expected to mitigate these concerns over the forecast period. The increasing availability of skilled cloud professionals is also expected to support continued market expansion. Competition among major cloud providers, including AWS, Microsoft Azure, Google Cloud, and others, is intense, but fosters innovation and drives pricing competitiveness, ultimately benefiting end-users. Recent developments include: February 2024 - Admiral, a subsidiary of the Admiral Group, a British financial services firm, chose Google Cloud as its strategic cloud partner. As per the agreement, Google Cloud will power Admiral's core insurance operations, which include insurance policy administration and digital systems. Admiral plans to leverage Google Cloud technologies to innovate new digital products and services, notably enhancing its customer-facing mobile app. This partnership is expected to allow Admiral to speed up the launch of new products and services by utilizing containerized cloud applications and embracing modern software development practices. With Google Cloud’s data analytics capabilities, Admiral aims to boost operational efficiency and enhance customer service through AI and machine learning services., January 2024 - Vodafone and Microsoft Corp. unveiled a significant 10-year strategic partnership. This collaboration aims to harness their combined strengths, delivering expansive digital platforms to over 300 million businesses, public sector entities, and consumers throughout Europe and Africa. As part of the alliance, Vodafone is set to channel a USD 1.5 billion investment over the next decade, focusing on cloud services and AI solutions tailored for customers, all co-developed with Microsoft.. Key drivers for this market are: Strong Government Support for Promoting Cloud Adoption, Presence of Numerous Cloud Data Centers in the European Region. Potential restraints include: Strong Government Support for Promoting Cloud Adoption, Presence of Numerous Cloud Data Centers in the European Region. Notable trends are: Strong Government support for Promoting Cloud Adoption.

This product leverages first-party and third party mobility data sources. It provides anonymized statistics helpful to markting use cases: - measure the overall truck activity in Europe and in the UK (depending on the source), potentially potentially by type of goods transported (works, goods transportation, refrigerated...) - provide insights about origins and destinations of vehicles & trucks across Europe, in the UK between cities, communities... - identify stops and standstill areas of trucks, vans and all types of vehicles

All these statistics can feed various use cases: - marketing study for mobility advisory firms (Origins, Destinations, Stops / Standstill) that try to understand how the EV trucks are going to develop - help with marketing and geomarketing use cases to identify where to build / open a new branch or site - help explain and / or predict marketing performance of businesses across geographies

Use cases: ==> Transport analytics: Traffic consultants, road operators, municipalities and SaaS analytics platforms use our data for understanding road safety, road usage ==> Site-selection / marketing : Our data help companies looking to open EV charging stations, new shops and stores where the traffic is adapted to their business ==> Dynamic pricing / geomarketing : Our data help companies adjust prices across geographies

India Visitors Arrivals: Land: Western Europe: U.K data was reported at 1,973.000 Person in 2017. This records an increase from the previous number of 941.000 Person for 2016. India Visitors Arrivals: Land: Western Europe: U.K data is updated yearly, averaging 3,797.000 Person from Dec 1999 (Median) to 2017, with 19 observations. The data reached an all-time high of 5,510.000 Person in 2008 and a record low of 941.000 Person in 2016. India Visitors Arrivals: Land: Western Europe: U.K data remains active status in CEIC and is reported by Ministry of Tourism. The data is categorized under Global Database’s India – Table IN.QB006: Foreign Tourist Arrivals: by Mode of Transport: Land.

Description

This dataset contains the projections of future freshwater demands of the energy sector (primary energy supply and transformation in power plants and oil refineries) in the EU and the United Kingdom for the period 2015-2050, in 5-year steps. The projections are estimated by the combination of water withdrawal and consumption factors for different energy technologies under six energy scenarios, at national and NUTS2 level, as described in the JRC technical report: Hidalgo Gonzalez, I., Medarac, H. and Magagna, D., Projected freshwater needs of the energy sector in the European Union and the UK, EUR 30266 EN, Publications Office of the European Union, Luxembourg, 2020, ISBN 978-92-76-19829-1 (online), doi:10.2760/796885 (online), JRC121030.

Contributors

"HIDALGO GONZÁLEZ, Ignacio MEDARAC, Hrvoje MAGAGNA, Davide"

Update date:

Jun 18, 2020

Resource:

Joint Research Centre

Authors

Hidalgo González, Ignacio; Medarac, Hrvoje; Magagna, Davide

Licence

Attribution 4.0 (CC BY 4.0)

Notes

All figures provided in the tab "Projections" are expressed in million m3. NUTS2 primary energy production WW: freshwater withdrawal for primary energy production at NUTS2 level NUTS2 primary energy production WC: freshwater consumption for primary energy production at NUTS2 level NUTS2 refining WW: freshwater withdrawal for oil refining at NUTS2 level NUTS2 refining WC: freshwater consumption for oil refining at NUTS2 level NUTS2 electricity generation PP WW: freshwater withdrawal for electricity generation at NUTS2 level NUTS2 electricity generation PP WC: freshwater consumption for electricity generation at NUTS2 level NUTS2 codes: https://ec.europa.eu/eurostat/web/nuts/background

Legal notice

The information made available is property of the Joint Research Centre of the European Commission. Neither the European Commission nor any person acting on its behalf is responsible for the use which might be made of these projections.

Permission to use

Reproduction of the data is authorized provided the source is appropriately acknowledged.

© European Union 2020

Reference

https://doi.org/10.5281/zenodo.3899962