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.

As of 2022,/23 approximately 11.4 million people were living in relative poverty in the United Kingdom, with that number increasing to over 14.3 million when housing costs are considered.

The Children in low-income families' local area statistics (CiLIF), provides information on the number and proportion of children living in Absolute low income by local area across the United Kingdom.The summary Statistical Release and tables which also show the proportions of children living in low income families are available here: Children in low income families: local area statistics - GOV.UK (www.gov.uk)Statistics on the number of children in low income families by financial year are published on Stat-Xplore. Figures are calibrated to the Households Below Average Income (HBAI) survey regional estimates of children in low income but provide more granular local area information not available from the HBAI, for example by Local Authority, Westminster Parliamentary Constituency and Ward.Absolute low-income is defined as a family in low income Before Housing Costs (BHC) in the reference year in comparison with incomes in 2010/11. A family must have claimed Child Benefit and at least one other household benefit (Universal Credit, tax credits, or Housing Benefit) at any point in the year to be classed as low income in these statistics. Gross income measure is Before Housing Costs (BHC) and includes contributions from earnings, state support and pensions.

Statistical disclosure control has been applied with Stat-Xplore, which guards against the identification of an individual claimant.

FOCUSON**LONDON**2011:**POVERTY**:THE**HIDDEN**CITY

One of the defining features of London is that it is a city of contrasts. Although it is considered one of the richest cities in the world, over a million Londoners are living in relative poverty, even before the additional costs of living in the capital are considered.

This edition of Focus on London, authored by Rachel Leeser, presents a detailed analysis of poverty in London that reveals the scale and distribution of poverty in the capital.

REPORT:

Read the full report as a PDF.

https://londondatastore-upload.s3.amazonaws.com/fol/fol11-poverty-cover-thumb.jpg" alt="">

PRESENTATION:

What do we mean by living in poverty, and how does the model affect different types of families? This interactive presentation provides some clarity on a complex concept.

CHARTS:

The motion chart shows the relationship between child poverty and worklessness at borough level, and shows how these two measures have changed since 2006. It reveals a significant reduction in workless households in Hackney (down 12 per cent), and to a lesser extent in Brent (down 7 per cent).

The bar chart shows child poverty rates and the change in child poverty since 2006. It reveals that while Tower Hamlets has the highest rate of child poverty, it also has one of the fastest falling rates (down 12 per cent), though Haringey had the biggest fall (15 per cent).

Charts

DATA:

All the data contained within the Poverty: The Hidden City report as well as the data used to create the charts and maps can be accessed in this spreadsheet.

FACTS:

Some interesting facts from the data…

● Highest proportion of children in workless households, by borough, 2010

1. Westminster – 35.6%
2. Barking and Dagenham – 33.6%
3. Lewisham – 33.1%
4. Newham – 31.4%
5. Islington – 30.6%

-31. Barnet – 9.1%

-32. Richmond upon Thames – 7.0%

● Changes in proportions of workless households, 2006-09, by borough

1. Hackney – down 12.3%
2. Brent – down 7.3%
3. Tower Hamlets – down 4.8%
4. Lambeth – down 4.2%
5. Hillingdon – down 4.1%

-31. Enfield – up 5.8%

-32. Bexley – up 7.3%

● Highest reduction in rates of child poverty 2006-09, by borough:

1. Haringey – down 15.0%
2. Newham – down 12.9%
3. Hackney – down 12.8%
4. Tower Hamlets – down 12.1%
5. Southwark – down 11.5%

-31. Bexley – up 6.0%

-32. Havering – up 10.3%

Approximately 21.4 percent of individuals in the United Kingdom were defined as living with relative income in 2022/23, after housing costs were considered, with 17.1 percent of people considered as being low-income before housing costs.

The English Housing Survey (EHS ) Fuel Poverty Datasets are comprised of fuel poverty variables derived from the EHS, and a number of EHS variables commonly used in fuel poverty reporting. The EHS is a continuous national survey commissioned by the Ministry of Housing, Community and Local Government (MHCLG) that collects information about people's housing circumstances and the condition and energy efficiency of housing in England.

End User Licence and Special Licence Versions
Similar to the main EHS, two versions of the Fuel Poverty dataset are available from 2014 onwards. The Special Licence version contains additional, more detailed, variables, and is therefore subject to more restrictive access conditions. Users should check the End User Licence version first to see whether it meeds their needs, before making an application for the Special Licence version.

The English Housing Survey, 2004: Fuel Poverty Dataset is derived from the 2004 EHS database created by the DCLG. This database is constructed from fieldwork carried out between April 2003 and March 2005. The midpoint of this period is April 2004, which can be considered as the reference date for the fuel poverty dataset. Guidance on use of EHS data provided by DCLG should also be applied to the fuel poverty dataset. The dataset is the outcome of analysis conducted to produce estimates of the number of households living in fuel poverty in England in 2004. Previously, a household was defined as being fuel poor if they spent more than 10% of their income on fuel.

Annual estimates of UK regional gross disposable household income (GDHI) at current prices for ITL1, ITL2 and ITL3 regions.

Abstract copyright UK Data Service and data collection copyright owner. The Millennium Survey of Poverty and Social Exclusion (PSE) was designed to update the Breadline Britain Surveys which were conducted by Mori in 1983 and 1990 (see also Gordon et al, Breadline Britain in the 1990s). Firstly, a representative sample of the population of Great Britain was asked for their views on what constitutes the necessities of life in present day Britain. This was done in June 1999 using the Office for National Statistics (ONS) Omnibus Survey. Secondly, a specially selected sample was drawn from respondents to the 1998/99 General Household Survey, and interviewed in detail about their circumstances and their views on a range of issues associated with poverty and social exclusion. This dataset is associated with the second aspect of the survey; the follow-up to the GHS, referred to as PSE. The aims of the PSE survey were: To update the Breadline Britain Surveys; To estimate the size of groups of households in different circumstances; To explore movement in and out of poverty; To look at age and gender difference in experiences of and responses to poverty. It is planned that a similar survey will be carried out in other countries. Main Topics: The main topics covered include housing, health, time poverty, social networks and support, necessities, finance and debts, intra-household poverty, poverty over time, absolute and overall poverty, area deprivation, local services, crime, child's school, perceptions of poverty, activism as well as some demographics and information on income. A Kish Grid was used (see documentation for further information) Face-to-face interview Compilation or synthesis of existing material The face-to-face interviewing was done using CAPI and the interview included a card-sorting exercise. A Computer Assisted Self Interviewing (CASI) module was used to collect answers to sensitive questions, such as those on crime. Where the respondent was reluctant or unable to complete the self-completion section on the laptop the interviewer asked the respondent's permission to ask these questions. Some data were also obtained for this study from the General Household Survey. 1999 ADOPTED CHILDREN ADULTS AGE ALCOHOL USE ALCOHOLIC DRINKS APARTMENTS APPRENTICESHIP ATTITUDES BANK ACCOUNTS BASIC NEEDS BATHROOMS BEDROOMS BONUS PAYMENTS BUILDING MAINTENANCE BUILDING SOCIETY AC... BUSINESSES CARE OF DEPENDANTS CARE OF THE DISABLED CARE OF THE ELDERLY CENTRAL HEATING CEREMONIES CHILD BENEFITS CHILD CARE CHILD DAY CARE CHILDREN CHIROPODY CHRONIC ILLNESS CLEANING CLOTHING COHABITATION COLOUR TELEVISION R... COMMERCIAL BUILDINGS COMPACT DISC PLAYERS COMPANY CARS COMPUTERS CONSUMER GOODS CONTRACEPTIVE DEVICES COOKING COSTS CRIME AND SECURITY DEBTS DENTISTS DEPRESSION DISABILITIES DISABLED PERSONS DISTANCE LEARNING DIVORCE DOMESTIC APPLIANCES DOMESTIC RESPONSIBI... ECONOMIC ACTIVITY EDUCATIONAL BACKGROUND EDUCATIONAL COURSES EDUCATIONAL INSTITU... ELDERLY ELECTRIC POWER SUPPLY EMPLOYEES EMPLOYERS EMPLOYMENT EMPLOYMENT HISTORY ETHNIC GROUPS EXAMINATIONS EXPECTATION Equality FAMILIES FAMILY MEMBERS FATHER S PLACE OF B... FERTILITY FINANCIAL RESOURCES FINANCIAL SUPPORT FOOD FOOD AND NUTRITION FOSSIL FUELS FOSTER CHILDREN FRIENDS FULL TIME EMPLOYMENT FURNISHED ACCOMMODA... FURTHER EDUCATION GAS SUPPLY GENDER GENERAL PRACTITIONERS Great Britain HEADS OF HOUSEHOLD HEALTH HEALTH CONSULTATIONS HEALTH SERVICES HEALTH VISITORS HEARING HEARING AIDS HEARING IMPAIRMENTS HEATING SYSTEMS HIGHER EDUCATION HOBBIES HOLIDAYS HOME BUYING HOME HELP HOME OWNERSHIP HOME SHARING HOME VISITS HOSPITAL OUTPATIENT... HOSPITAL SERVICES HOSPITALIZATION HOURS OF WORK HOUSEHOLD BUDGETS HOUSEHOLDS HOUSES HOUSEWORK HOUSING HOUSING AGE HOUSING FACILITIES HOUSING TENURE INCOME INSURANCE INTEREST FINANCE INTERNET INVESTMENT JOB HUNTING KITCHENS LANDLORDS LEISURE TIME ACTIVI... LOANS MANAGERS MARITAL HISTORY MARITAL STATUS MARRIAGE MARRIAGE DISSOLUTION MATERNITY PATIENTS MEALS ON WHEELS MEDICAL PRESCRIPTIONS MOBILE HOMES MORTGAGES MOTHER S PLACE OF B... MOTOR VEHICLES NEIGHBOURS NURSES OCCUPATIONAL PENSIONS OCCUPATIONAL QUALIF... OCCUPATIONAL TRAINING OCCUPATIONS ONE PARENT FAMILIES OPTICIANS OVERTIME PARENTS PART TIME COURSES PART TIME EMPLOYMENT PATIENTS PENSIONS PERSONAL DEBT REPAY... PERSONAL HYGIENE PHYSICIANS PLACE OF BIRTH POLICE SERVICES POVERTY PREGNANCY PRIVATE PERSONAL PE... PRIVATE SECTOR PROFESSIONAL CONSUL... PUBLIC HOUSES PUBLIC TRANSPORT QUALIFICATIONS REDUNDANCY PAY RENTED ACCOMMODATION RENTS RESIDENTIAL MOBILITY RETIREMENT ROOM SHARING ROOMS SANDWICH COURSES SATELLITE RECEIVERS SAVINGS SCHOOL LEAVING AGE SELF EMPLOYED SHARED HOME OWNERSHIP SHELTERED HOUSING SHOPPING SIBLINGS SICK PERSONS SMOKING SMOKING CESSATION SOCIAL DISADVANTAGE SOCIAL EXCLUSION SOCIAL HOUSING SOCIAL SECURITY BEN... SOCIAL SECURITY CON... SOCIAL SUPPORT SOCIAL WORKERS SOCIO ECONOMIC STATUS SPORT SPOUSES STANDARD OF LIVING STATE RETIREMENT PE... STEPCHILDREN STERILIZATION MEDICAL STUDENTS SUBSIDIARY EMPLOYMENT SUPERVISORS Social behaviour an... Social conditions a... Specific social ser... TELEPHONES TELEVISION CHANNELS TELEVISION RECEIVERS TIED HOUSING TOBACCO TRAINING COURSES UNEMPLOYED UNEMPLOYMENT UNFURNISHED ACCOMMO... UNWAGED WORKERS VACANT HOUSING VIDEO RECORDERS VISION IMPAIRMENTS VISITS PERSONAL VOCATIONAL EDUCATIO... WAGES WALKING WATER SUPPLY WIDOWED inequality and soci...

Abstract copyright UK Data Service and data collection copyright owner.

The English Housing Survey (EHS ) Fuel Poverty Datasets are comprised of fuel poverty variables derived from the EHS, and a number of EHS variables commonly used in fuel poverty reporting. The EHS is a continuous national survey commissioned by the Ministry of Housing, Community and Local Government (MHCLG) that collects information about people's housing circumstances and the condition and energy efficiency of housing in England.

End User Licence and Special Licence Versions
Similar to the main EHS, two versions of the Fuel Poverty dataset are available from 2014 onwards. The Special Licence version contains additional, more detailed, variables, and is therefore subject to more restrictive access conditions. Users should check the End User Licence version first to see whether it meeds their needs, before making an application for the Special Licence version.

Fuel Poverty Dataset

The fuel poverty dataset is comprised of fuel poverty variables derived from the English Housing Survey (EHS), and a number of EHS variables commonly used in fuel poverty reporting. The fieldwork for the EHS is carried out each financial year (between April and March). The fuel poverty datasets combine data from two consecutive financial years. Full information on the EHS survey is available at the DLUHC EHS website and further information on Fuel Poverty and the EHS can be sought from FuelPoverty@beis.gov.uk and ehs@communities.gov.uk respectively. Guidance on use of EHS data provided by DLUHC should also be applied to the fuel poverty dataset.

Further information may be found in the Annual Fuel Poverty Statistics Report: 2021 (2019 Data) on the gov.uk website.

In 2023, the around 11.1 percent of the population was living below the national poverty line in the United States. Poverty in the United StatesAs shown in the statistic above, the poverty rate among all people living in the United States has shifted within the last 15 years. The United Nations Educational, Scientific and Cultural Organization (UNESCO) defines poverty as follows: “Absolute poverty measures poverty in relation to the amount of money necessary to meet basic needs such as food, clothing, and shelter. The concept of absolute poverty is not concerned with broader quality of life issues or with the overall level of inequality in society.” The poverty rate in the United States varies widely across different ethnic groups. American Indians and Alaska Natives are the ethnic group with the most people living in poverty in 2022, with about 25 percent of the population earning an income below the poverty line. In comparison to that, only 8.6 percent of the White (non-Hispanic) population and the Asian population were living below the poverty line in 2022. Children are one of the most poverty endangered population groups in the U.S. between 1990 and 2022. Child poverty peaked in 1993 with 22.7 percent of children living in poverty in that year in the United States. Between 2000 and 2010, the child poverty rate in the United States was increasing every year; however,this rate was down to 15 percent in 2022. The number of people living in poverty in the U.S. varies from state to state. Compared to California, where about 4.44 million people were living in poverty in 2022, the state of Minnesota had about 429,000 people living in poverty.

This shows fuel poor households as a proportion of all households in the geographical area (modelled) using the Low Income Low Energy Efficiency (LILEE) measure. Since 2021 (2019 data) the LILEE indicator considers a household to be fuel poor if: it is living in a property with an energy efficiency rating of band D, E, F or G as determined by the most up-to-date Fuel Poverty Energy Efficiency Rating (FPEER) methodologyits disposable income (income after housing costs (AHC) and energy needs) would be below the poverty line. The Government is interested in the amount of energy people need to consume to have a warm, well-lit home, with hot water for everyday use, and the running of appliances. Therefore, fuel poverty is measured based on required energy bills rather than actual spending. This ensures that those households who have low energy bills simply because they actively limit their use of energy at home, Fuel poverty statistics are based on data from the English Housing Survey (EHS). Estimates of fuel poverty at the regional level are taken from the main fuel poverty statistics. Estimates at the sub-regional level should only be used to look at general trends and identify areas of particularly high or low fuel poverty. They should not be used to identify trends over time.Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

The English Housing Survey (EHS ) Fuel Poverty Datasets are comprised of fuel poverty variables derived from the EHS, and a number of EHS variables commonly used in fuel poverty reporting. The EHS is a continuous national survey commissioned by the Ministry of Housing, Community and Local Government (MHCLG) that collects information about people's housing circumstances and the condition and energy efficiency of housing in England.

End User Licence and Special Licence Versions
Similar to the main EHS, two versions of the Fuel Poverty dataset are available from 2014 onwards. The Special Licence version contains additional, more detailed, variables, and is therefore subject to more restrictive access conditions. Users should check the End User Licence version first to see whether it meeds their needs, before making an application for the Special Licence version.

Fuel Poverty Dataset

Secondary modelling of EHS to derive income and energy demand and derive the Low Income Low Energy Efficiency (LILEE) fuel poverty metric together with fuel poverty gap and other metrics.

Further information may be found in the Annual Fuel Poverty Statistics Report: 2021 (2019 Data) on the gov.uk website.

Part 1 out of 4 For more information, see: http://www.endchildpoverty.org.uk/poverty-in-your-area-2016/ Estimated rates of child poverty from 2016 and 2018 on the level of child poverty in each constituency, local authority and ward in the UK before and after housing costs. Data is split across 26 xlsx files. For more information, visit http://www.endchildpoverty.org.uk/poverty-in-your-area-2016/ and https://mss.carto.com/viz/064da52a-2edc-4b7b-a709-f3697a5928b0/public_map Visualisations on % children living in poverty can be found here: https://mss.carto.com/viz/064da52a-2edc-4b7b-a709-f3697a5928b0/public_map Estimated rates of child poverty from 2016 and 2018 on the level of child poverty in each constituency, local authority and ward in the UK before and after housing costs. Data is split across 26 xlsx files. For more information, visit http://www.endchildpoverty.org.uk/poverty-in-your-area-2016/ and https://mss.carto.com/viz/064da52a-2edc-4b7b-a709-f3697a5928b0/public_map

Sudan sub-national aggregates, % of population under sever poverty conditions (K > 50%). https://ophi.org.uk/wp-content/uploads/indicators.png" alt="Indicators"> For more, visit ophi.org.uk

These fuel poverty risk indicators provide users with a nuanced picture of the impact of various risk factors, exacerbating factors and indicators for fuel poverty. It was developed with the Assembly Health and Public Services Committee in their investigation into fuel poverty in London. The Committee's report explains how the tool could be used strategically to help organisations target specific wards that are at high risk of fuel poverty. Appendix 4 in the report set out the rationale for the risk factors present in the tool.

Users can adjust the weighting of the indicators to show their relative significance. Isolating specific indicators could help organisations determine what type of support is likely to have greatest impact in an area. For example, wards with a low score for cavity wall insulation would indicate wards that could be targeted for promoting uptake of cavity wall insulation.

Read Victoria Borwick's blog "Using public data to tackle fuel poverty - can you help?"

The fuel poverty scores measure risk of fuel poverty based on 12 indicators. The England and Wales average each year is 0. Scores below 0 are more likely to be at risk from fuel poverty according to these measures.

The indicators are:

**Housing **
Dwellings without central heating
Cavity walls that are uninsulated
Lofts with less than 150mm insulation

**Health **
Health Deprivation & Disability domain (ID2010)
Standardised Mortality Ratio
Incapacity Benefit claimant rate

**Older people **
People aged 60 and over
Older people claiming pension credit

**Worklessness **
Unemployment

Poverty
Income Support claimant rate
Child Poverty rates
Households classified 'fuel poor'

The Excel tool includes a ward map, charts and rankings.

Note: Users must enable macros when prompted upon opening the spreadsheet (or reset security to medium/low) for the map to function. The rest of the tool will function without macros.

https://s3-eu-west-1.amazonaws.com/londondatastore-upload/fp-dashboard-map.jpg" alt="Excel Tool">

United Kingdom UK: Poverty Headcount Ratio at $5.50 a Day: 2011 PPP: % of Population data was reported at 0.700 % in 2015. This records an increase from the previous number of 0.500 % for 2014. United Kingdom UK: Poverty Headcount Ratio at $5.50 a Day: 2011 PPP: % of Population data is updated yearly, averaging 0.700 % from Dec 2004 (Median) to 2015, with 12 observations. The data reached an all-time high of 1.200 % in 2004 and a record low of 0.400 % in 2012. United Kingdom UK: Poverty Headcount Ratio at $5.50 a Day: 2011 PPP: % of Population 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: Poverty. Poverty headcount ratio at $5.50 a day is the percentage of the population living on less than $5.50 a day at 2011 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.; ; 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.

Out of all OECD countries, Cost Rica had the highest poverty rate as of 2022, at over 20 percent. The country with the second highest poverty rate was the United States, with 18 percent. On the other end of the scale, Czechia had the lowest poverty rate at 6.4 percent, followed by Denmark.

The significance of the OECD

The OECD, or the Organisation for Economic Co-operation and Development, was founded in 1948 and is made up of 38 member countries. It seeks to improve the economic and social well-being of countries and their populations. The OECD looks at issues that impact people’s everyday lives and proposes policies that can help to improve the quality of life.

Poverty in the United States

In 2022, there were nearly 38 million people living below the poverty line in the U.S.. About one fourth of the Native American population lived in poverty in 2022, the most out of any ethnicity. In addition, the rate was higher among young women than young men. It is clear that poverty in the United States is a complex, multi-faceted issue that affects millions of people and is even more complex to solve.

The global Multidimensional Poverty Index (MPI) statistics by sub-national region in Colombia.

For more information on the measures, visit https://ophi.org.uk/multidimensional-poverty-index/databank/country-level/.