About the dataset This dataset uses information from the DWP benefit system to provide estimates of children living in poverty for wards in London. In order to be counted in this dataset, a family must have claimed Child Benefit and at least one other household benefit (Universal Credit, tax credits or Housing Benefit) during the year. The numbers are calibrated to the Households Below Average Income (HBAI) dataset used to provide the government's headline poverty statistics. The definition of relative low income is living in a household with equivalised* income before housing costs (BHC) below 60% of contemporary national median income. The income measure includes contributions from earnings, state support and pensions. Further detail on the estimates of dependent children living in relative low income, including alternative geographical breakdowns and additional variables, such as age of children, family type and work status are available from DWP's statistical tabulation tool Stat-Xplore. Minor adjustments to the data have been applied to guard against the identification of individual claimants. This dataset replaced the DWP children in out-of-work benefit households and HMRC children in low income families local measure releases. This dataset includes estimates for all wards in London of numbers of dependent children living in relative low income families for each financial year from 2014/15 to the latest available (2022/23). The figures for the latest year are provisional and are subject to minor revision when the next dataset is released by DWP. Headlines Number of children The number of dependent children living in relative low income across London, rose from below 310,000 in the financial year ending 2015 to over 420,000 in the financial year ending 2020, but has decreased since then to below 350,000, which is well below the number for financial year ending 2018. While many wards in London have followed a similar pattern, the numbers of children in low income families in some wards have fallen more sharply, while the numbers in other wards have continued to grow. Proportion of children in each London ward Ward population sizes vary across London, the age profile of that population also varies and both the size and make-up of the population can change over time, so in order to make more meaningful comparisons between wards or over time, DWP have also published rates, though see note below regarding caution when using these figures. A dependent child is anyone aged under 16; or aged 16 to 19 in full-time non-advanced education or in unwaged government training. Ward level estimates for the total number of dependent children are not available, so percentages cannot be derived. Ward level estimates for the percentage of children under 16 living in low income families are usually published by DWP but, in its latest release, ward-level population estimates were not available at the time, so no rates were published. To derive the rates in this dataset, the GLA has used the ONS's latest ward-level population estimates (official statistics in development). Percentages for 2021/22 are calculated using the 2021 mid year estimates, while percentages for 2022/23 are calculated using the 2022 mid year estimates. As these are official statistics in development, rates therefore need to be treated with some caution. Notes *equivalised income is adjusted for household size and composition in order to compare living standards between households of different types.

This is the proportion of children aged under 16 (0-15) living in families in absolute low income during the year. The figures are based on the count of children aged under 16 (0-15) living in the area derived from ONS mid-year population estimates. The count of children refers to the age of the child at 30 June of each year.

Low income is a family whose equivalised income is below 60 per cent of median household incomes. Gross income measure is Before Housing Costs (BHC) and includes contributions from earnings, state support, and pensions. Equivalisation adjusts incomes for household size and composition, taking an adult couple with no children as the reference point. For example, the process of equivalisation would adjust the income of a single person upwards, so their income can be compared directly to the standard of living for a couple.

Absolute low income is income Before Housing Costs (BHC) in the reference year in comparison with incomes in 2010/11 adjusted for inflation. A family must have claimed one or more of Universal Credit, Tax Credits, or Housing Benefit at any point in the year to be classed as low income in these statistics. Children are dependent individuals aged under 16; or aged 16 to 19 in full-time non-advanced education. The count of children refers to the age of the child at 31 March of each year.

Data 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 further information and methodology on the construction of these statistics, visit this link. Totals may not sum due to rounding.Data is Powered by LG Inform Plus and automatically checked for new data on the 4th of each month.

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.

Publication concentrating on low-income dynamics. It shows trends in relation to individuals who are persistently observed as living in low-income households and presents transition rates. https://www.gov.uk/government/collections/income-dynamics-statistics Source agency: Work and Pensions Designation: National Statistics Language: English Alternative title: Low Income Dynamics

Comprehensive dataset containing 68 verified Low income housing program businesses in United Kingdom with complete contact information, ratings, reviews, and location data.

Households Below Average Income anonymised UK Data Archive End User Licence. The data is used to produce the latest annual estimates of the percentage of children, working-age adults and pensioners living in relative and absolute low income, together with statistics on children living in combined low income and material deprivation, and pensioners living in material deprivation, in 2011/12. Historic data are available. For general information : https://www.gov.uk/government/organisations/department-for-work-pensions/series/households-below-average-income-hbai--2

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.

Housing Benefit is available to help people pay their rent if they are on a low income. How much is paid depends on income and circumstances. The local council pays the benefit. The data includes Housing Benefit recipients: by County, Local Authority and by tenure throughout Great Britain.

The Children in Low-Income Families Local Measure shows the proportion of children living in families in receipt of out-of-work (means-tested) benefits or in receipt of tax credits where their reported income is less than 60% of UK median income.

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

The number of children who lived in households where a parent or guardian claims an out-of-work benefit. https://www.gov.uk/government/statistics/children-in-low-income-families-local-area-statistics-201415-to-201819 Source agency: Work and Pensions Designation: Experimental Official Statistics Language: English Alternative title: CiLIF

HMRC statistics used in Households Below Average Income statistics and gives local (LA) results.

These interactive energy equity indicators are designed to help identify opportunities to improve access to clean energy technologies for low-income customers and disadvantaged communities; increase clean energy investment in those communities; and improve community resilience to grid outages and extreme events. A summary report of these indicators will be updated each year to track progress on implementation of the recommendations put forth by the Energy Commission’s December 2016 Low-Income Barriers Study mandated by Senate Bill 350 (de León, Chapter547, Statutes of 2015), and monitor performance of state-administered clean energy programs in low-income and disadvantaged communities across the state.Selected energy equity indicators are highlighted on the following California map. The base map highlights areas with median household income of $37,000 or less (60 percent of statewide median income for 2011-2015) and disadvantaged communities eligible for greenhouse gas reduction fund programs. The map also identifies tribal areas. Click to view data for low-income areas with low energy efficiency investments, low solar capacity per capita, or low clean vehicle rebate incentive investments. Additional data layers include high-density low-income areas and low-income areas that have many older buildings, as well as counties with high levels of asthma-related emergency room visit. This information can help identify opportunities for improving clean energy access, investment, and resilience in low-income and disadvantaged communities in California. Additional indicators are available by clicking on the Story Map or Tracking Progress Report links provided above.

This dataset shows official annual experimental statistics for numbers and percentages of Children age under 16 living in Relative and Absolute low income families, by Local Authority District and Ward. More detailed data breakdowns (such as Age of Child, Family Type and Work Status, plus data for other small area geographies and trend data), are available at the Source link. Percentages are calculated by dividing the number of children age 0-15 living in low income families by resident children age 0-15 from mid-year population estimates. The latest data is marked P for Provisional and is subject to future revision. Data source: Department for Work and Pensions and HM Revenue and Customs. Updates are according to government statistics releases. For more information about this data and its methodology, please see the Source link.

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 (by age) 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. Relative low-income is defined as a family in low income Before Housing Costs (BHC) in the reference year. 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.

The data includes estimates at lower super output area (LSOA) of housholds subject to high energy costs and low income (since 2011) and of households spending 10% or more of their income on fuel, for 2008 to 2012. All the data comes from DECC.

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. Secondary modelling of EHS to derive fuel poverty income and energy consumption variables, The main fuel poverty metric in England is Low Income Low Energy Efficiency (LILEE) and fuel poverty gap. Multi-stage stratified random sample Face-to-face interview

Abstract copyright UK Data Service and data collection copyright owner.The DSS/PSI Programme of Research into Low-Income Families (PRILIF) studied low-income families with dependent children. The study was conducted by the Department of Social Security (DSS) (now the Department for Work and Pensions (DWP)), and the Policy Studies Institute (PSI). The PRILIF series began in 1991, when a nationally-representative survey of low-income families was undertaken to study the effects of Family Credit on labour market opportunities. The series finished in 2001, and comprised seven waves, deposited at the UK Data Archive (UKDA) in three parts:DSS/PSI Programme of Research into Low-Income Families, 1991-1995 (held under SN 3977)DSS/PSI Programme of Research into Low-Income Families, 1996 and 1998 (SN 4425)DSS/PSI Programme of Research into Low-Income Families, 2001 (SN 5406)The PRILIF series examined five main policy issues:how lone parents could improve their incomes, combining paid work, benefits and maintenance paymentsthe effectiveness of child supportthe failure of some families to claim their benefit entitlementthe persistent dfficulties experienced by some families, especially the lowest paid couples, in maintaining themselves in paid jobsthe wider effects of the use of income-tested in-work benefits on incentives to workThe main focus of the research was on families on the margins of work and concerned the influence of different sources of income (benefits, maintenance and earnings) on their labour market participation and family welfare. A similar survey series, the Families and Children Study (held under SN 4427), is also conducted by the DWP. More information on the PRILIF study, including details of publications, may be found on the PSI web site.

Focus group interviews were conducted between November and December 2010 in five different locations, including in each of the four territories comprising the UK: Bristol, Cardiff, London, Glasgow and Belfast. Separate group interviews were conducted amongst low income samples (5 groups), non-low income samples (5 groups), and mixed income samples (4 groups). These groups were also stratified by household type (11 groups) and minority ethnic status (3 groups).

An investigation was carried out into the process involved in designing and building affordable community-driven vertical greening systems (VGS) prototypes in a low-income neighbourhood of Lagos, Nigeria. Prototypes are intended to improve indoor thermal comfort conditions and potentially provide substrate to grow edible and medicinal plants. Data, relating to 2 prototypes built in 2014 and their evaluation, comprises:the narrative / information about community participation in the design and construction of the 2 prototypes;the monitoring procedure used to collect thermal performance data;the analysis of the data collected on thermal performance;the community acceptability survey related to the prototypes.A summary is provided of a community-acceptability survey undertaken following a second round of 2 prototypes, built in the same neighbourhood in the year 2016. Research restults based upon these data are published at https://doi.org/10.1016/j.buildenv.2018.01.022