This statistic presents the wealth distribution among households in the United Kingdom (UK) in 2018. Approximately 44.6 percent adults in the United Kingdom found themselves in the bracket of between 100 thousand and one million U.S. dollars as their household private wealth.

At the turn of the twentieth century, the wealthiest one percent of people in the United Kingdom controlled 71 percent of net personal wealth, while the top ten percent controlled 93 percent. The share of wealth controlled by the rich in the United Kingdom fell throughout the twentieth century, and by 1990 the richest one percent controlled 16 percent of wealth, and the richest ten percent just over half of it.

The values of any financial assets held including both formal investments, such as bank or building society current or saving accounts, investment vehicles such as Individual Savings Accounts, endowments, stocks and shares, and informal savings.

The overall wealth of households in the United Kingdom was **** trillion British pounds in the period between 2020 and 2022. Of this overall wealth, the top ten percent of households had over *** trillion pounds of wealth, compared with **** billion owned by the lowest wealth decile.

These data explore changes in English and American consumption between 1550 and 1800. The probate inventories (Parts 1-11) include information about personal wealth, household production, and the possession of consumer durables and semi-durables. The household survey for England circa 1790 (Part 12) contains dietary information as well as information about other household expenditures. The wills from England and America (Part 13) are a source for learning about the kinds of goods people obtained from their families through inheritance. Finally, information pertaining to the distribution network in eighteenth century England is contained in the aggregate county-level data on the shop and peddler's tax (Part 13).

Individual-level estimates of total wealth (July 2010 to March 2020) and regression estimates for the latest survey period.

Total wealth is the sum of the four components of wealth and is therefore net of all liabilities.

The value of any pension pots already accrued that are not state basic retirement or state earning related. This includes occupational pensions, personal pensions, retained rights in previous pensions and pensions in payment.

UK Universal Life Insurance Market growth is driven by increasing consumer demand for flexible, long-term life insurance solutions, advancements in digital platforms for policy management, and the growing focus on wealth accumulation and financial security.

Data on household wealth in Great Britain by ethnic group. Includes total, property, financial, physical and private pension wealth by age, region, household composition and housing tenure.

75% of households from the Bangladeshi ethnic group were in the 2 lowest income quintiles (after housing costs were deducted) between April 2021 and March 2024.

This statistic presents the outcome of prosperity index research conducted by Barclay for the regions of the United Kingdom (UK) as of August 2015. According to the research incorporating various factors into the prosperity score, the most prosperous region of the UK was the city of London, with a score of **** points. South East and Eastern England followed with **** and **** score, respectively. Least prosperous was North East, with **** index points on the scale.

Our research adopted an interpretivist approach which encourages exploration, theory generation and the collection of rich qualitative data about individual entrepreneur’s journey towards, engagement in and commitment to philanthropy. Supporting this we used life story and narrative analysis (Bal, 1985; Czarniawska, 1998; Denzin 1989).
The research had a number of key phases: 1. Develop a comprehensive database of secondary information regarding high net worth UK entrepreneurs engaged in philanthropy 2008-11. 2. Collect detailed data regarding all aspects of their entrepreneurial capital, wealth accumulation and wealth redistribution. 3. Analysis of data to explore patterns, clusters, similarities, differences and outliers in entrepreneurial philanthropy in the UK. 4. Interview a sample of these UK entrepreneurial philanthropists and undertake life story interviewing with them. 5. Develop case studies of UK entrepreneurial philanthropists 6. Undertake comparative research by interviewing counterparts in India and Australia.

This research formed part of the UK-wide Centre for Charitable Giving and Philanthropy. This spoke explored individual and business giving, particularly entrepreneurial philanthropists: wealthy entrepreneurs who engage in giving away their money in a planned, targeted manner. This focus was shaped by a number of factors: philanthropic giving within the UK is significantly lower than in other developed economies, particularly North America which benefits from a strong culture of philanthropy which many wealthy individuals regard as an important civic duty faced with reduced government spending and increasingly neo-liberal policies, the UK Government is keen to acquire evidence to inform policy development in the area of philanthropic and charitable giving research indicates that charitable giving is boosted by the large sums gifted by wealthy individuals, many of whom are entrepreneurs. The aim was to engage in cross-national, comparative research to explore the importance and impact of differences in cultural, religious, institutional, socio-economic and historical settings on contemporary entrepreneurial philanthropy. To address this, an exploratory approach involving a mix of methods was used to collect and analyse data. Findings provide fresh insights into entrepreneur’s journey towards, engagement in and commitment to philanthropy and contribute to emerging critical considerations of entrepreneurship as a wealth maximising activity.

This statistic shows the numbers of offices of large wealth management companies distributed regionally in the United Kingdom (UK) in 2013 and 2016. Wealth management is a broad category of financial services, which includes management of HNWI (high-net-worth-individual) client's assets and optimization of investment portfolio, according to client's financial goals and objectives. As of 2013, 117 offices of private wealth management firms were located in London. By 2016, that number grew to 143 offices. Second in the ranking was South East region, with 77 offices in 2013 and 94 in 2016.

This statistic shows the projection of direct staff (full-time equivalent) in the private banking and wealth management sector in the United Kingdom (UK) in 2016, by region. The projection is based on data collected for the first, second and third quarter of 2016. Wealth management is a broad category of financial services, which includes management of client's assets, and optimization of investment portfolio, according to client's financial goals and objectives. Private banking provides services that might not include investments. It typically centers around high-net-worth-individuals (HNWIs) financial needs, offering personalized care of clients' finances, either by public or private financial institution. In 2016, approximately 16.1 thousand staff was projected to be working in London in private banking and wealth management services.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Virgin Money UK (VMUK) Soaring High or Heading for a Dive?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

In the 3 years to March 2021, black households were most likely out of all ethnic groups to have a weekly income of under £600.

Homeownership in England showed a stark generational divide in 2024. About ** percent of those aged 65 and above lived in an owner-occupied home, which contrasts sharply with younger age groups, particularly those under **. Less than half of 25 to 35 year-olds lived in an owner-occupied home. The disparity highlights the growing challenges faced by younger generations in entering the property market, a trend that has significant implications for wealth distribution and social mobility.

Annual estimates of UK regional gross disposable household income (GDHI) for local authorities by International Territorial Level (ITL) region.