East Dunbartonshire, the city of Edinburgh, East Loathian and East Renfrewshire were the most xpensive regions for residential property in Scotland as of February 2025. The average house price in those regions were over 300,000 British pounds. In comparison, the average house price in Scotland was almost two times lower. Which are the most expensive streets to live in Scotland? With the average house price valued at approximately 3 million British pounds, Queen's Crescent, Auchterarder PH3 was the most expensive street for residential real estate in Scotland in 2024. This was almost twice higher than in the second-priciest street, Ann street, Edinburgh EH4. Compared to other regions in the UK, Scotland is affordable Though 3.6 million British pounds is an impressive figure, not all housing in Scotland falls in this price bracket. In fact, with an average house price of about 170,000 British pounds, Scotland is the third most affordable region for first-time home buyers. Furthermore, it has the second lowest rent to income ratio in the UK.

This statistic illustrates the number of individuals with a personal net wealth of over ** million US dollars in Europe, in selected years from 2017 to 2021, with projections for 2027. The population of ultra-high net worth in Europe has increased overall between 2017 and 2022. In 2022, there were *** thousand UNWIs in Europe. By 2027, the number is forecast to reach approximately over *** thousand.

This statistic illustrates the number of individuals with a personal net wealth of over *********** US dollars in Europe, in selected years from 2017 to 2022 and projections for 2027. The number of millionaires in Europe has increased overall, amounting to approximately ***** million individuals in 2022. The number of millionaires in Europe has been forecast to grow between 2021 and 2027, estimated to reach over ** million.

This table describes the wealth distribution of the sector households in the national accounts over different household groups. Households are identified by main source of income, living situation, household composition, age classes of the head of the household, income class by 20% groups, and net worth class by 20% groups.

Data available from: 2015.

Status of the figures: All data are provisional.

Changes as of October 19th 2023: The figures of 2015-2020 are revised, because national accounts figures are changed due to the revision policy of Statistics Netherlands. Results for 2021 are added to the table.

When will new figures be published? New figures will be released in October 2024.

Income, consumption and wealth (ICW) statistics are experimental statistics computed by Eurostat through the statistical matching of three data sources: the EU Statistics on Income and Living Conditions (EU-SILC), the Household Budget Survey (HBS) and the Household Finance and Consumption Survey (HFCS). These statistics enable us to observe at the same time the income that households receive, their expenditures and their accumulated wealth.

The annual collection of EU-SILC was launched in 2003 and is governed by Regulation 1700/2019 (previously: Regulation 1177/2003) of the European Parliament and of the Council. The EU-SILC collects cross-sectional and longitudinal information on income. HBS is a survey conducted every 5 years on the basis of an agreement between Eurostat, the Member States and EFTA countries. Data are collected using national questionnaires and, in most cases, expenditure diaries that respondents are asked to keep over a certain period of time. HFCS collects information on assets, liabilities, and to a limited extent income and consumption, of households. The survey is run by National Central Banks and coordinated by the European Central Bank.

This page focuses on the main issues of importance for the use and interpretation of ICW statistics. Information on the primary data sources can be found on the respective EU-SILC and HBS metadata pages and following the links provided in the sections 'related metadata' and 'annexes' below.

Experimental ICW statistics cover six topics: household economic resources, affordability of essential services, saving rates, poverty, household characteristics and taxation. Each topic contains several indicators with a number of different breakdowns, mainly by income quantile, by the age group of the household reference person, by household type, by the educational attainment level of the reference person, by the activity status of the reference person and by the degree of urbanization of the household. The indicators provide information on the joint distribution of income, consumption and wealth and the links between these three economic dimensions. They help to describe households' economic vulnerability and material well-being. They also help to explain the dynamics of wealth inequalities.

All indicators are to be understood to describe households, not persons. Breakdowns by age group, educational attainment level and activity status refer to the household reference person, which is the person with the highest income. The only exception are the tables icw_pov_01, icw_pov_10, icw_pov_11 and icw_pov_12 for which the income, consumption and wealth of households have been equivalised such that equal shares were attributed to each household member. Values in tables icw_aff are calculated for households reporting non-zero values only.

Note on table icw _res_01 and icw_res_02: The indicator “Households” [HH] in icw_res_01 shows the share of households in the selection, which hold the corresponding shares of total disposable income [INC_DISP], consumption expenditure [EXPN_CONS] and net wealth [WLTH_NET] of the entire population. In theory, turning two of the three dimensions [quant_inc, quant_expn, quant_wlth] to TOTAL and the third one to any quintile, should result into a share of 20% of households. Nevertheless, this share is often below or above 20% of the total population of households in the country. The reason for this is that our figures are based on sample surveys. This means that the share of households corresponds indeed to 20% of households in the sample, however when we multiply each household of the sample with its sampling weight, the resulting shares of households in the total population differ from the 20%. If, for example, we disregard the income and wealth of households in our sample, the first consumption quintile contains the 20% of households with lowest consumption in the sample. However, multiplying this selection of households with their corresponding sampling weights may result into a different share of the total population. The “Households” [HH] indicator indicates the real share of households in the population that make up the theoretical quintile.

This statistic presents the financial net worth of households per capita in selected European countries as of 2018. It can be seen that the financial worth of households per capita in Switzerland was the highest in Europe at a value of approximately ***** thousand USD in 2018.

Graph and download economic data for Net Worth Held by the Top 0.1% (99.9th to 100th Wealth Percentiles) (WFRBLTP1246) from Q3 1989 to Q2 2025 about net worth, wealth, percentile, Net, and USA.

Europe Insurance For Insurance For High Net Worth Individual (HNWIs) market USD 31054.26 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.5% from 2024 to 2031. Increasing wealth of affluent individuals, particularly in major financial hubs like London and Zurich is expected to aid the sales to USD 47206.8 million by 2031

The total wealth value of the adult population in Europe peaked in 2024, at around ******* trillion U.S. dollars. The wealth fluctuated during the period from 2010 to 2024, with the lowest value in 2016 at around ****** trillion U.S. dollars. The total wealth of the adult population in Europe currently rests at ******* trillion U.S. dollars.

Graph and download economic data for Net migration: All Income Levels for Europe and Central Asia (SMPOPNETMECS) from 1962 to 2017 about Central Asia, migration, Europe, Net, 5-year, and income.

European Union EU27: DG ECFIN Forecast: GDP: GNI: Net National Income data was reported at 15,872.290 EUR bn in 2026. This records an increase from the previous number of 15,242.710 EUR bn for 2025. European Union EU27: DG ECFIN Forecast: GDP: GNI: Net National Income data is updated yearly, averaging 9,257.150 EUR bn from Dec 1995 (Median) to 2026, with 31 observations. The data reached an all-time high of 15,872.290 EUR bn in 2026 and a record low of 5,332.410 EUR bn in 1995. European Union EU27: DG ECFIN Forecast: GDP: GNI: Net National Income data remains active status in CEIC and is reported by European Commission's Directorate-General for Economic and Financial Affairs. The data is categorized under Global Database’s European Union – Table EU.DG ECFIN.AMECO: GDP: Gross National Income: Current Price: Forecast.

Income, consumption and wealth (ICW) statistics are experimental statistics computed by Eurostat through the statistical matching of three data sources: the EU Statistics on Income and Living Conditions (EU-SILC), the Household Budget Survey (HBS) and the Household Finance and Consumption Survey (HFCS). These statistics enable us to observe at the same time the income that households receive, their expenditures and their accumulated wealth.

The annual collection of EU-SILC was launched in 2003 and is governed by Regulation 1700/2019 (previously: Regulation 1177/2003) of the European Parliament and of the Council. The EU-SILC collects cross-sectional and longitudinal information on income. HBS is a survey conducted every 5 years on the basis of an agreement between Eurostat, the Member States and EFTA countries. Data are collected using national questionnaires and, in most cases, expenditure diaries that respondents are asked to keep over a certain period of time. HFCS collects information on assets, liabilities, and to a limited extent income and consumption, of households. The survey is run by National Central Banks and coordinated by the European Central Bank.

This page focuses on the main issues of importance for the use and interpretation of ICW statistics. Information on the primary data sources can be found on the respective EU-SILC and HBS metadata pages and following the links provided in the sections 'related metadata' and 'annexes' below.

Experimental ICW statistics cover six topics: household economic resources, affordability of essential services, saving rates, poverty, household characteristics and taxation. Each topic contains several indicators with a number of different breakdowns, mainly by income quantile, by the age group of the household reference person, by household type, by the educational attainment level of the reference person, by the activity status of the reference person and by the degree of urbanization of the household. The indicators provide information on the joint distribution of income, consumption and wealth and the links between these three economic dimensions. They help to describe households' economic vulnerability and material well-being. They also help to explain the dynamics of wealth inequalities.

All indicators are to be understood to describe households, not persons. Breakdowns by age group, educational attainment level and activity status refer to the household reference person, which is the person with the highest income. The only exception are the tables icw_pov_01, icw_pov_10, icw_pov_11 and icw_pov_12 for which the income, consumption and wealth of households have been equivalised such that equal shares were attributed to each household member. Values in tables icw_aff are calculated for households reporting non-zero values only.

Note on table icw _res_01 and icw_res_02: The indicator “Households” [HH] in icw_res_01 shows the share of households in the selection, which hold the corresponding shares of total disposable income [INC_DISP], consumption expenditure [EXPN_CONS] and net wealth [WLTH_NET] of the entire population. In theory, turning two of the three dimensions [quant_inc, quant_expn, quant_wlth] to TOTAL and the third one to any quintile, should result into a share of 20% of households. Nevertheless, this share is often below or above 20% of the total population of households in the country. The reason for this is that our figures are based on sample surveys. This means that the share of households corresponds indeed to 20% of households in the sample, however when we multiply each household of the sample with its sampling weight, the resulting shares of households in the total population differ from the 20%. If, for example, we disregard the income and wealth of households in our sample, the first consumption quintile contains the 20% of households with lowest consumption in the sample. However, multiplying this selection of households with their corresponding sampling weights may result into a different share of the total population. The “Households” [HH] indicator indicates the real share of households in the population that make up the theoretical quintile.

A variety of datasets for analysis of High Wealth individuals to assist HMRC's High Net Worth Unit in maintaining and refining its population. Matches 10 years of Inheritance Tax Data to the relevant in-life SA data. Updated: ad hoc.

Graph and download economic data for International Trade: Net trade: Value (goods): Total for the European Union (EU28XTNTVA01CXMLQ) from Q1 1999 to Q4 2019 about EU, Europe, and trade.

Graph and download economic data for Balance of Payments: Direct Investment: Assets (or Net Acquisition of Assets) for OECD (OECDB6FADI02CXCUQ) from Q1 2006 to Q4 2024 about M&A, OECD Europe, financial account, BOP, Europe, investment, financial, and assets.

European National Net Disposable Income by Country, 2023 Discover more data with ReportLinker!

This statistic presents alternative investments of high net worth individuals in European countries as of the first quarter of 2014, broken down by type. In that time, approximately 20.8 percent of all alternative investments of this group of people were private equity investments.

European Mean Equivalised Net Income of Households Making Ends Meet with Difficulty by Country, 2023 Discover more data with ReportLinker!

This data covers information on annual rating income for each Council area for the 2012-13 financial year to the 2015-16 financial year. The information is broken down by property type and includes gross and net income.