Mean and median average gross annual household income for Output Areas, Lower SOAs, Middle SOAs, Wards and Boroughs, London, 2011/12

This income data is unequivalised - that is it takes no account of average household size or composition within each area.

A full description of how the estimates were put together can be read in this GLA Intelligence Unit Update.

Download:

• Excel (all geographies included in single spreadsheet)

Or **Open: **

- Atlas (or click on image below)

These are experimental income estimates, which means that they are in the testing phase. Feedback is welcome with the intention that the model will be improved in future years if possible. Please send any comments to the Datastore email address.

This GLA Intellingence Update paper presents analysis of the headline findings of these data.

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Estimates of annual household income for the four income types for Middle layer Super Output Areas, or local areas, in England and Wales.

The median annual earnings in the United Kingdom was 37,430 British pounds per year in 2024. Annual earnings varied significantly by region, ranging from 47,455 pounds in London to 32,960 pounds in the North East. Along with London, two other areas of the UK had median annual earnings above the UK average; South East England, and Scotland, at 39,038 pounds and 38,315 pounds respectively. Regional Inequality in the UK Various other indicators highlight the degree of regional inequality in the UK, especially between London and the rest of the country. Productivity in London, as measured by output per hour, was 33.2 percent higher than the UK average. By comparison, every other UK region, except the South East, fell below the UK average for productivity. In gross domestic product per head, London was also an outlier. The average GDP per head in the UK was 31,947 pounds in 2021, but for London it was 56,431 pounds. Again, the South East's GDP per head was slightly above the UK average, with every other region below it. Within London itself, there is also a great degree of inequality. In 2021, for example, the average earnings in the historic City of London borough were 1,138 pounds per week, compared with 588 pounds in Redbridge, a borough in the North East of London. Wages finally catch up with inflation in 2023 After the initial economic disruption caused by the COVID-19 pandemic subsided, wages began to steadily grow in the UK. This reached a peak in June 2021, when weekly wages for regular pay were growing at 7.3 percent, or 5.2 percent when adjusted for inflation. By that November, however, prices began to rise faster than wage growth, with inflation surging throughout 2022. In October 2022, for example, while regular pay was growing by 6.1 percent, the inflation rate had surged to 11.1 percent, Although inflation peaked in that month, it wasn't until June 2023 that wages started to outpace inflation. By this point, the damage caused by high energy and food inflation has precipitated the worst Cost of Living Crisis in the UK for a generation.

Model-based estimates of the proportion of households with mean weekly income lower than 60% of the national median weekly income, by middle layer super output area, England and Wales.

This data file includes the Inequality and Poverty Key Figures (as of March 2022), constructed for all Luxembourg Income Study (LIS) Study datasets in all waves. It includes multiple national-level measures: • on inequality measures: Gini, Atkinson coefficients, and percentile ratios • on relative poverty rates for various demographic groups • median and mean of disposable household income

This project sought to renew the ESRC's invaluable financial support to LIS (formerly the Luxembourg Income Study) for a period of five more years. LIS is an independent, non-profit cross-national data archive and research institute located in Luxembourg. LIS relies on financial contributions from national science foundations, other research institutions and consortia, data-providing agencies, and supranational organisations to support data harmonisation and enable free and unlimited data access to researchers in the participating countries and to students world-wide. LIS' primary activity is to make harmonised household microdata available to researchers, thus enabling cross-national, interdisciplinary primary research into socio-economic outcomes and their determinants. Users of the Luxembourg Income Study Database and Luxembourg Wealth Study Database come from countries around the globe, including the UK. LIS has four goals: 1) to harmonise microdatasets from high- and middle-income countries that include data on income, wealth, employment, and demography; 2) to provide a secure method for researchers to query data that would otherwise be unavailable due to country-specific privacy restrictions; 3) to create and maintain a remote-execution system that sends research query results quickly back to users at off-site locations; and 4) to enable, facilitate, promote and conduct crossnational comparative research on the social and economic wellbeing of populations across countries. LIS contains the Luxembourg Income Study (LIS) Database, which includes income data, and the Luxembourg Wealth Study (LWS) Database, which focuses on wealth data. LIS currently includes microdata from 46 countries in Europe, the Americas, Africa, Asia and Australasia. LIS contains over 250 datasets, organised into eight time "waves," spanning the years 1968 to 2011. Since 2007, seventeen more countries have been added to LIS, including the BRICS countries (Brazil, Russia, India, China, South Africa), Japan, South Korea and a number of other Latin American countries. LWS contains 20 wealth datasets from 12 countries, including the UK, and covers the period 1994 to 2007. All told, LIS and LWS datasets together cover 86% of world GDP and 64% of world population. Users submit statistical queries to the microdatabases using a Java-based job submission interface or standard email. The databases are especially valuable for primary research in that they offer access to cross-national data at the micro-level - at the level of households and persons. Users are economists, sociologists, political scientists, and policy analysts, among others, and they employ a range of statistical approaches and methods. LIS also provides extensive documentation - metadata - for both LIS and LWS, concerning technical aspects of the survey data, the harmonisation process, and the social institutions of income and wealth provision in participating countries. In the next five years, for which support is sought, LIS will: - expand LIS, adding Waves IX (2013) and X (2016), and add new middle-income countries; - develop LWS, adding another wave of datasets to existing countries; acquire new wealth datasets for 14 more countries in cooperation with the European Central Bank (based on the Household Finance and Consumption Survey); - create a state-of-the-art metadata search and storage system; - maintain international standards in data security and data infrastructure systems; - provide high-quality harmonised household microdata to researchers around the world; - enable interdisciplinary cross-national social science research covering 45+ countries, including the UK; - aim to broaden its reach and impact in academic and non-academic circles through focused communications strategies and collaborations.

Estimates of mean weekly household income for the 4 income types.

In April 2025, the UK minimum wage for adults over the age of 21 in will be 12.21 pounds per hour. For the 2025/26 financial year, there will be four minimum wage categories, three of which are based on age and one for apprentice workers. Apprentices, and workers under the age of 18 will have a minimum wage of 7.55 pounds an hour, increasing to ten pounds for those aged 18 to 20. When the minimum wage was first introduced in 1999, there were just two age categories; 18 to 21, and 22 and over. This increased to three categories in 2004, four in 2010, and five between 2016 and 2023, before being reduced down to four in the most recent year. The living wage The living wage is an alternative minimum wage amount that employers in the UK can voluntarily pay their employees. It is calculated independently of the legal minimum wage and results in a higher value figure. In 2023/24, for example, the living wage was twelve pounds an hour for the UK as a whole and 13.15 for workers in London, where the cost of living is typically higher. This living wage is different from what the UK government has named the national living wage, which was 10.42 in the same financial year. Between 2011/12 and 2023/24, the living wage has increased by 4.80 pounds, while the London living wage has grown by 4.85 pounds. Wage growth cancelled-out by high inflation 2021-2023 For a long period between the middle of 2021 and late 2023, average wage growth in the UK was unable to keep up with record inflation levels, resulting in the biggest fall in disposable income since 1956. Although the UK government attempted to mitigate the impact of falling living standards through a series of cost of living payments, the situation has still been very difficult for households. After peaking at 11.1 percent in October 2022, the UK's inflation rate remained in double figures until March 2023, and did not fall to the preferred rate of two percent until May 2024. As of November 2024, regular weekly pay in the UK was growing by 5.6 percent in nominal terms, and 2.5 percent when adjusted for inflation.

Model-based estimates of income for Middle Layer Super Output Areas (MSOAs). The estimates have been produced using a modelling methodology that enables survey data to be combined with Census and administrative data. The survey data used within the modelling process was obtained from the 2004/05 Family Resources Survey (FRS). The choice of the FRS enabled each of the four survey variables on income to be modelled. The estimates and confidence intervals produced are values of the average MSOA income for the following four income types: 1) Average weekly household total income (unequivalised). 2) Average weekly household net income (unequivalised). 3) Average weekly household net income before housing costs (equivalised). 4) Average weekly household net income after housing costs (equivalised). Source: Office for National Statistics (ONS) Publisher: Neighbourhood Statistics Geographies: Middle Layer Super Output Area (MSOA) Geographic coverage: England and Wales Time coverage: 2004/05, 2007/08 Type of data: Modelled data

Abstract copyright UK Data Service and data collection copyright owner.

This resource arose out of research into the date of origin, characteristics, and scale of age-specific salaries, and the relative earnings among the British middle class between 1750 and 1850.
Main Topics:

This resource lists by name, occupation, year, department, and years of experience of clerks employed in the British East India Company between 1760 and 1850. It provides an indication of middle class incomes received by a significant group of men in the middle and upper sections of London's middle class during the classic years of the British industrial revolution.

This data file includes the Gini coefficient calculated for different wealth welfare aggregates constructed for all Luxembourg Wealth Study (LWS) datasets in all waves (as of March 2022). It includes Gini coefficients calculated on: • Disposable Net Worth • Value of Principal residence • Financial Assets

This project sought to renew the ESRC's invaluable financial support to LIS (formerly the Luxembourg Income Study) for a period of five more years. LIS is an independent, non-profit cross-national data archive and research institute located in Luxembourg. LIS relies on financial contributions from national science foundations, other research institutions and consortia, data-providing agencies, and supranational organisations to support data harmonisation and enable free and unlimited data access to researchers in the participating countries and to students world-wide. LIS' primary activity is to make harmonised household microdata available to researchers, thus enabling cross-national, interdisciplinary primary research into socio-economic outcomes and their determinants. Users of the Luxembourg Income Study Database and Luxembourg Wealth Study Database come from countries around the globe, including the UK. LIS has four goals: 1) to harmonise microdatasets from high- and middle-income countries that include data on income, wealth, employment, and demography; 2) to provide a secure method for researchers to query data that would otherwise be unavailable due to country-specific privacy restrictions; 3) to create and maintain a remote-execution system that sends research query results quickly back to users at off-site locations; and 4) to enable, facilitate, promote and conduct crossnational comparative research on the social and economic wellbeing of populations across countries. LIS contains the Luxembourg Income Study (LIS) Database, which includes income data, and the Luxembourg Wealth Study (LWS) Database, which focuses on wealth data. LIS currently includes microdata from 46 countries in Europe, the Americas, Africa, Asia and Australasia. LIS contains over 250 datasets, organised into eight time "waves," spanning the years 1968 to 2011. Since 2007, seventeen more countries have been added to LIS, including the BRICS countries (Brazil, Russia, India, China, South Africa), Japan, South Korea and a number of other Latin American countries. LWS contains 20 wealth datasets from 12 countries, including the UK, and covers the period 1994 to 2007. All told, LIS and LWS datasets together cover 86% of world GDP and 64% of world population. Users submit statistical queries to the microdatabases using a Java-based job submission interface or standard email. The databases are especially valuable for primary research in that they offer access to cross-national data at the micro-level - at the level of households and persons. Users are economists, sociologists, political scientists, and policy analysts, among others, and they employ a range of statistical approaches and methods. LIS also provides extensive documentation - metadata - for both LIS and LWS, concerning technical aspects of the survey data, the harmonisation process, and the social institutions of income and wealth provision in participating countries. In the next five years, for which support is sought, LIS will: - expand LIS, adding Waves IX (2013) and X (2016), and add new middle-income countries; - develop LWS, adding another wave of datasets to existing countries; acquire new wealth datasets for 14 more countries in cooperation with the European Central Bank (based on the Household Finance and Consumption Survey); - create a state-of-the-art metadata search and storage system; - maintain international standards in data security and data infrastructure systems; - provide high-quality harmonised household microdata to researchers around the world; - enable interdisciplinary cross-national social science research covering 45+ countries, including the UK; - aim to broaden its reach and impact in academic and non-academic circles through focused communications strategies and collaborations.

United Kingdom UK: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Outside Region data was reported at 22.068 % in 2016. This records a decrease from the previous number of 22.966 % for 2015. United Kingdom UK: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Outside Region data is updated yearly, averaging 16.820 % from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 24.883 % in 1963 and a record low of 7.142 % in 1988. United Kingdom UK: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Outside Region data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Imports. Merchandise imports from low- and middle-income economies outside region are the sum of merchandise imports by the reporting economy from other low- and middle-income economies in other World Bank regions according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

United Kingdom UK: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Middle East & North Africa data was reported at 0.585 % in 2016. This records a decrease from the previous number of 0.812 % for 2015. United Kingdom UK: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Middle East & North Africa data is updated yearly, averaging 1.135 % from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 5.517 % in 1976 and a record low of 0.585 % in 2016. United Kingdom UK: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Middle East & North Africa data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Imports. Merchandise imports from low- and middle-income economies in Middle East and North Africa are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the Middle East and North Africa region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

The social assistance explorer contains a harmonised panel dataset of social assistance indicators spanning 2000-2015. It has been developed to support comparative research on emerging welfare institutions. Comparative analysis of social protection institutions in low and middle income countries is scarce. Yet social assistance accounts for most of the recent expansion of welfare institutions. The project collected data on programme design and objectives, institutionalisation, reach, and financial resources. Key indicators can be aggregated at country and region levels.

United Kingdom UK: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: South Asia data was reported at 1.423 % in 2016. This records a decrease from the previous number of 1.586 % for 2015. United Kingdom UK: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: South Asia data is updated yearly, averaging 1.690 % from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 6.032 % in 1960 and a record low of 1.074 % in 1998. United Kingdom UK: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: South Asia data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s UK – Table UK.World Bank: Exports. Merchandise exports to low- and middle-income economies in South Asia are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the South Asia region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

United Kingdom UK: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Outside Region data was reported at 15.267 % in 2016. This records a decrease from the previous number of 16.649 % for 2015. United Kingdom UK: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Outside Region data is updated yearly, averaging 14.874 % from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 28.682 % in 1960 and a record low of 9.212 % in 1999. United Kingdom UK: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Outside Region data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Exports. Merchandise exports to low- and middle-income economies outside region are the sum of merchandise exports from the reporting economy to other low- and middle-income economies in other World Bank regions according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

The dataset contains details on Households with Children in financial deprivation before housing costs (BHC) and after housing costs (AHC) by Middle Super output area. This dataset paints a more detailed picture of low income households with children taking into account the varied cost of housing across Leicester.

This MSOA atlas provides a summary of demographic and related data for each Middle Super Output Area in Greater London. The average population of an MSOA in London in 2010 was 8,346, compared with 1,722 for an LSOA and 13,078 for a ward.

The profiles are designed to provide an overview of the population in these small areas by combining a range of data on the population, births, deaths, health, housing, crime, commercial property/floorspace, income, poverty, benefits, land use, environment, deprivation, schools, and employment.

If you need to find an MSOA and you know the postcode of the area, the ONS NESS search page has a tool for this.

The MSOA Atlas is available as an XLS as well as being presented using InstantAtlas mapping software. This is a useful tool for displaying a large amount of data for numerous geographies, in one place (requires HTML 5).

CURRENT MSOA BOUNDARIES (2011)

Excel

Instant Atlas

PREVIOUS MSOA BOUNDARIES (2001)

Excel

Instant Atlas

NB. It is currently not possible to export the map as a picture due to a software issue with the Google Maps background. We advise you to print screen to copy an image to the clipboard.

Tips:

1. - Select a new indicator from the Data box on the left. Select the theme, then indicator and then year to show the data.

2. - To view data just for one borough*, use the filter tool.

3. - The legend settings can be altered by clicking on the pencil icon next to the MSOA tick box within the map legend.

4. - The areas can be ranked in order by clicking at the top of the indicator column of the data table.

Themes included here are Census 2011 Population, Mid-year Estimates, Population by Broad Age, Households, Household composition, Ethnic Group, Country of Birth, Language, Religion, Tenure, Dwelling type, Land Area, Population Density, Births, General Fertility Rate, Deaths, Standardised Mortality Ratio (SMR), Population Turnover Rates (per 1000), Crime (numbers), Crime (rates), House Prices, Commercial property (number), Rateable Value (£ per m2), Floorspace; ('000s m2), Household Income, Household Poverty, County Court Judgements (2005), Qualifications, Economic Activity, Employees, Employment, Claimant Count, Pupil Absence, Early Years Foundation Stage, Key Stage 1, GCSE and Equivalent, Health, Air Emissions, Car or Van availability, Income Deprivation, Central Heating, Incidence of Cancer, Life Expectancy, and Road Casualties.

• The London boroughs are: City of London, Barking and Dagenham, Barnet, Bexley, Brent, Bromley, Camden, Croydon, Ealing, Enfield, Greenwich, Hackney, Hammersmith and Fulham, Haringey, Harrow, Havering, Hillingdon, Hounslow, Islington, Kensington and Chelsea, Kingston upon Thames, Lambeth, Lewisham, Merton, Newham, Redbridge, Richmond upon Thames, Southwark, Sutton, Tower Hamlets, Waltham Forest, Wandsworth, Westminster.

These profiles were created using the most up to date information available at the time of collection (Spring 2014).

You may also be interested in LSOA Atlas and Ward Atlas.

United Kingdom UK: Poverty Gap at $5.50 a Day: 2011 PPP: % data was reported at 0.300 % in 2015. This stayed constant from the previous number of 0.300 % for 2014. United Kingdom UK: Poverty Gap at $5.50 a Day: 2011 PPP: % data is updated yearly, averaging 0.300 % from Dec 2004 (Median) to 2015, with 12 observations. The data reached an all-time high of 0.600 % in 2005 and a record low of 0.200 % in 2013. United Kingdom UK: Poverty Gap at $5.50 a Day: 2011 PPP: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Poverty. Poverty gap at $5.50 a day (2011 PPP) is the mean shortfall in income or consumption from the poverty line $5.50 a day (counting the nonpoor as having zero shortfall), expressed as a percentage of the poverty line. This measure reflects the depth of poverty as well as its incidence.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. The aggregated numbers for low- and middle-income countries correspond to the totals of 6 regions in PovcalNet, which include low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia). See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.