Graph and download economic data for Share of Net Worth Held by the Top 0.1% (99.9th to 100th Wealth Percentiles) (WFRBSTP1300) from Q3 1989 to Q4 2024 about shares, net worth, wealth, percentile, Net, and USA.

Data and insights on Wealth Distribution in India - share of wealth, average wealth, HNIs, wealth inequality GINI, and comparison with global peers.

This GLA Intelligence Update takes a brief look at evidence around the wealth gap in London and examines how this has changed in recent years.

Key Findings

• There is a significant gap between the rich and poor in London, both in terms of their wealth and their income.
• A higher proportion of the wealthiest households are in the South East of England than in London.
• Pension wealth accounts for more than half the wealth of the richest ten per cent of the population.
• In London, the tenth of the population with the highest income have weekly income after housing costs of over £1,000 while people in the lowest tenth have under £94 per week.
• The gap between rich and poor is growing, with the difference between the average income for the second highest tenth and second lowest tenth growing around 14 per cent more than inflation since 2003.

Click on the report below to read

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The data included in the report is available to download here

Graph and download economic data for Share of Corporate Equities and Mutual Fund Shares Held by the Top 1% (99th to 100th Wealth Percentiles) (WFRBST01122) from Q3 1989 to Q4 2024 about mutual funds, wealth, equity, percentile, corporate, and USA.

Money Supply M0 in the United States decreased to 5614000 USD Million in February from 5614200 USD Million in January of 2025. This dataset provides - United States Money Supply M0 - actual values, historical data, forecast, chart, statistics, economic calendar and news.

FOCUSON**LONDON**2010:**INCOME**AND**SPENDING**AT**HOME**

Household income in London far exceeds that of any other region in the UK. At £900 per week, London’s gross weekly household income is 15 per cent higher than the next highest region. Despite this, the costs to each household are also higher in the capital. Londoners pay a greater amount of their income in tax and national insurance than the UK average as well as footing a higher bill for housing and everyday necessities. All of which leaves London households less well off than the headline figures suggest.

This chapter, authored by Richard Walker in the GLA Intelligence Unit, begins with an analysis of income at both individual and household level, before discussing the distribution and sources of income. This is followed by a look at wealth and borrowing and finally, focuses on expenditure including an insight to the cost of housing in London, compared with other regions in the UK.

See other reports from this Focus on London series.

REPORT:

To view the report online click on the image below. Income and Spending Report PDF

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PRESENTATION:

This interactive presentation finds the answer to the question, who really is better off, an average London or UK household? This analysis takes into account available data from all types of income and expenditure. Click on the link to access.

PREZI

The Prezi in plain text version

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This interactive chart shows some key borough level income and expenditure data. This chart helps show the relationships between five datasets. Users can rank each of the indicators in turn.

Borough rankings Tableau Chart

MAP:

These interactive borough maps help to geographically present a range of income and expenditure data within London.

Interactive Maps - Instant Atlas

DATA:

All the data contained within the Income and Spending at Home report as well as the data used to create the charts and maps can be accessed in this spreadsheet.

Report data

FACTS:

Some interesting facts from the data…

● Five boroughs with the highest median gross weekly pay per person in 2009:

-1. Kensington & Chelsea - £809

-2. City of London - £767

-3. Westminster - £675

-4. Wandsworth - £636

-5. Richmond - £623

-32. Brent - £439

-33. Newham - £422

● Five boroughs with the highest median weekly rent for a 2 bedroom property in October 2010:

-1. Kensington & Chelsea - £550

-2. Westminster - £500

-3. City of London - £450

-4. Camden - £375

-5. Islington - £360

-32. Havering - £183

-33. Bexley - £173

● Five boroughs with the highest percentage of households that own their home outright in 2009:

-1. Bexley – 38 per cent

-2. Havering – 36 per cent

-3. Richmond – 32 per cent

-4. Bromley – 31 per cent

-5. Barnet – 28 per cent

-31. Tower Hamlets – 9 per cent

-32. Southwark – 9 per cent

Money Supply M0 in Canada increased to 251190 CAD Million in January from 243244 CAD Million in December of 2024. This dataset provides - Canada Money Supply M0 - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.

The Gross Domestic Product (GDP) in Iran was worth 404.63 billion US dollars in 2023, according to official data from the World Bank. The GDP value of Iran represents 0.38 percent of the world economy. This dataset provides - Iran GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Disposable Income refers to an individual or household's net income once taxes and other employer deductions are taken into account. In other words, it is the amount of money an individual has for spending on essential and non-essential goods and services.

What is included in this income dataset?

All data is also calculated as a total (in Euros), a percentage (%) and as an index - with an index of 100 representing the average disposable income per selected administrative level. The disposable income data for Ireland is available at street and 4-digit postal code level.

Our Irish Disposable Income datasets include the following variables:

Income

• Total Number of Inhabitants

Households

• Total Number of Households

Disposable Income

• Total Disposable Income
• Average Disposable Income per Inhabitant
• Average Disposable Income per Household

• Disposable income is also known as purchasing power. Purchasing power simply is the amount of money a person has left to buy products. It is a good indicator of the economic wealth of certain areas. Having access to this data greatly improves strategic decisions you make.

  The Purchasing Power data highlights regions where high numbers of potential buyers live. By concentrating your marketing efforts on these regions, you can generate better results, increase efficiency, and conserve resources.

• The chief data source used for the compilation of the purchasing power figures is each country's distribution of income-information obtained through an analysis of official tax statistics. In the case of countries for which this kind of information is only partially or not at all available, other factors are considered, such as data on demographics, the workforce, unemployment figures, etc.

  In the case of countries without official population statistics at the level of postcodes, population data is calculated. Area-based projections are being avoided as much as possible. The calculation of highly accurate purchasing power figures is possible using mathematical formulas that have been refined over the course of many years.

• At the 4-digit postal code level, there are 139 areas in this dataset.

• Spotzi's geomarketing tool, Spotzi Profiling, effectively leverages this data. It provides in-depth insights into income and other characteristics, enabling personalized marketing for various customer segments.

  Together, the Disposable Income dataset and Spotzi tools create a potent resource, empowering marketers to comprehend disposable income trends and income distribution across different regions of the country, guiding improved planning and more intelligent selling techniques.

  How does it work?
  
  Location is key to our geomarketing platform. It serves as the means by which we can link more data to your customers' locations, extracting valuable insights from your customer data.

  With Customer Profiling, you can enrich your customer list in just a few steps with this dataset on disposable income, gaining deeper insights into your most valuable customers.

• Spotzi Targeting make excellent use of this data. Spotzi Targeting allows businesses to group people with similar locations and income levels, enabling the creation of ads that truly connect and result in better sales and returns on investment.

This table presents income shares, thresholds, tax shares, and total counts of individual Canadian tax filers, with a focus on high income individuals (95% income threshold, 99% threshold, etc.). Income thresholds are geography-specific; for example, the number of Nova Scotians in the top 1% will be calculated as the number of taxfiling Nova Scotians whose total income exceeded the 99% income threshold of Nova Scotian tax filers. Different definitions of income are available in the table namely market, total, and after-tax income, both with and without capital gains.

The 2006 Uganda Demographic and Health Survey (UDHS) is a nationally representative survey of 8,531 women age 15-49 and 2,503 men age 15-54. The UDHS is the fourth comprehensive survey conducted in Uganda as part of the worldwide Demographic and Health Surveys (DHS) project. The primary purpose of the UDHS is to furnish policymakers and planners with detailed information on fertility; family planning; infant, child, adult, and maternal mortality; maternal and child health; nutrition; and knowledge of HIV/AIDS and other sexually transmitted infections. In addition, in one in three households selected for the survey, women age 15-49, men age 15-54, and children under age 5 years were weighed and their height was measured. Women, men, and children age 6-59 months in this subset of households were tested for anaemia, and women and children were tested for vitamin A deficiency. The 2006 UDHS is the first DHS survey in Uganda to cover the entire country. The 2006 Uganda Demographic and Health Survey (UDHS) was designed to provide information on demographic, health, and family planning status and trends in the country. Specifically, the UDHS collected information on fertility levels, marriage, sexual activity, fertility preferences, awareness and use of family planning methods, and breastfeeding practices. In addition, data were collected on the nutritional status of mothers and young children; infant, child, adult, and maternal mortality; maternal and child health; awareness and behaviour regarding HIV/AIDS and other sexually transmitted infections; and levels of anaemia and vitamin A deficiency. The 2006 UDHS is a follow-up to the 1988-1989, 1995, and 2000-2001 UDHS surveys, which were also implemented by the Uganda Bureau of Statistics (UBOS). The specific objectives of the 2006 UDHS are as follows: To collect data at the national level that will allow the calculation of demographic rates, particularly the fertility and infant mortality rates To analyse the direct and indirect factors that determine the level and trends in fertility and mortality To measure the level of contraceptive knowledge and practice of women and men by method, by urban-rural residence, and by region To collect data on knowledge and attitudes of women and men about sexually transmitted infections and HIV/AIDS, and to evaluate patterns of recent behaviour regarding condom use To assess the nutritional status of children under age five and women by means of anthropometric measurements (weight and height), and to assess child feeding practices To collect data on family health, including immunizations, prevalence and treatment of diarrhoea and other diseases among children under five, antenatal visits, assistance at delivery, and breastfeeding To measure vitamin A deficiency in women and children, and to measure anaemia in women, men, and children To measure key education indicators including school attendance ratios and primary school grade repetition and dropout rates To collect information on the extent of disability To collect information on the extent of gender-based violence. MAIN RESULTS Fertility : Survey results indicate that the total fertility rate (TFR) for the country is 6.7 births per woman. The TFR in urban areas is much lower than in the rural areas (4.4 and 7.1 children, respectively). Kampala, whose TFR is 3.7, has the lowest fertility. Fertility rates in Central 1, Central 2, and Southwest regions are also lower than the national level. Removing four districts from the 2006 data that were not covered in the 20002001 UDHS, the 2006 TFR is 6.5 births per woman, compared with 6.9 from the 2000-2001 UDHS. Education and wealth have a marked effect on fertility, with uneducated mothers having about three more children on average than women with at least some secondary education and women in the lowest wealth quintile having almost twice as many children as women in the highest wealth quintile. Family planning : Overall, knowledge of family planning has remained consistently high in Uganda over the past five years, with 97 percent of all women and 98 percent of all men age 15-49 having heard of at least one method of contraception. Pills, injectables, and condoms are the most widely known modern methods among both women and men. Maternal health : Ninety-four percent of women who had a live birth in the five years preceding the survey received antenatal care from a skilled health professional for their last birth. These results are comparable to the 2000-2001 UDHS. Only 47 percent of women make four or more antenatal care visits during their entire pregnancy, an improvement from 42 percent in the 2000-2001 UDHS. The median duration of pregnancy for the first antenatal visit is 5.5 months, indicating that Ugandan women start antenatal care at a relatively late stage in pregnancy. Child health : Forty-six percent of children age 12-23 months have been fully vaccinated. Over nine in ten (91 percent) have received the BCG vaccination, and 68 percent have been vaccinated against measles. The coverage for the first doses of DPT and polio is relatively high (90 percent for each). However, only 64 percent go on to receive the third dose of DPT, and only 59 percent receive their third dose of polio vaccine. There are notable improvements in vaccination coverage since the 2000-2001 UDHS. The percentage of children age 12-23 months fully vaccinated at the time of the survey increased from 37 percent in 2000-2001 to 44 percent in 2006. The percentage who had received none of the six basic vaccinations decreased from 13 percent in 2000-2001 to 8 percent in 2006. Malaria : The 2006 UDHS gathered information on the use of mosquito nets, both treated and untreated. The data show that only 34 percent of households in Uganda own a mosquito net, with 16 percent of households owning an insecticide-treated net (ITN). Only 22 percent of children under five slept under a mosquito net on the night before the interview, while a mere 10 percent slept under an ITN. Breastfeeding and nutrition : In Uganda, almost all children are breastfed at some point. However, only six in ten children under the age of 6 months are exclusively breast-fed. HIV/AIDS AND stis : Knowledge of AIDS is very high and widespread in Uganda. In terms of HIV prevention strategies, women and men are most aware that the chances of getting the AIDS virus can be reduced by limiting sex to one uninfected partner who has no other partners (89 percent of women and 95 percent of men) or by abstaining from sexual intercourse (86 percent of women and 93 percent of men). Knowledge of condoms and the role they can play in preventing transmission of the AIDS virus is not quite as high (70 percent of women and 84 percent of men). Orphanhood and vulnerability : Almost one in seven children under age 18 is orphaned (15 percent), that is, one or both parents are dead. Only 3 percent of children under the age of 18 have lost both biological parents. Women's status and gender violence : Data for the 2006 UDHS show that women in Uganda are generally less educated than men. Although the gender gap has narrowed in recent years, 19 percent of women age 15-49 have never been to school, compared with only 5 percent of men in the same age group. Mortality : At current mortality levels, one in every 13 Ugandan children dies before reaching age one, while one in every seven does not survive to the fifth birthday. After removing districts not covered in the 2000-2001 UDHS from the 2006 data, findings show that infant mortality has declined from 89 deaths per 1,000 live births in the 2000-2001 UDHS to 75 in the 2006 UDHS. Under-five mortality has declined from 158 deaths per 1,000 live births to 137.

This table contains 58320 series, with data for years 1999 - 2016 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (20 items: Canada; Atlantic; Newfoundland and Labrador; Prince Edward Island; ...); Assets and debts (27 items: Total assets; Private pension assets; Registered Retirement Savings Plans (RRSPs), Registered Retirement Income Funds (RRIFs), Locked-in Retirement Accounts (LIRAs) and other; Employer-sponsored Registered Pension Plans (EPPs); ...); Net worth quintiles (6 items: Total, all net worth quintiles; Lowest net worth quintile; Second net worth quintile; Middle net worth quintile; ...); Statistics (6 items: Total values; Percentage of total assets or total debts; Number holding asset or debt; Percentage holding asset or debt; ...); Confidence intervals (3 items: Estimate; Lower bound of a 95% confidence interval; Upper bound of a 95% confidence interval).

A dataset listing the richest zip codes in North Carolina per the most current US Census data, including information on rank and average income.

In 2022, San Francisco had the highest median household income of cities ranking within the top 25 in terms of population, with a median household income in of 136,692 U.S. dollars. In that year, San Jose in California was ranked second, and Seattle, Washington third.

Following a fall after the great recession, median household income in the United States has been increasing in recent years. As of 2022, median household income by state was highest in Maryland, Washington, D.C., Utah, and Massachusetts. It was lowest in Mississippi, West Virginia, and Arkansas. Families with an annual income of 25,000 and 49,999 U.S. dollars made up the largest income bracket in America, with about 25.26 million households.

Data on median household income can be compared to statistics on personal income in the U.S. released by the Bureau of Economic Analysis. Personal income rose to around 21.8 trillion U.S. dollars in 2022, the highest value recorded. Personal income is a measure of the total income received by persons from all sources, while median household income is “the amount with divides the income distribution into two equal groups,” according to the U.S. Census Bureau. Half of the population in question lives above median income and half lives below. Though total personal income has increased in recent years, this wealth is not distributed throughout the population. In practical terms, income of most households has decreased. One additional statistic illustrates this disparity: for the lowest quintile of workers, mean household income has remained more or less steady for the past decade at about 13 to 16 thousand constant U.S. dollars annually. Meanwhile, income for the top five percent of workers has actually risen from about 285,000 U.S. dollars in 1990 to about 499,900 U.S. dollars in 2020.