The StatXplore Children in low-income families' local area statistics (CiLIF) provides information on the number of children living in Relative 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 (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.

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 3rd of each month.

In 2021, around 230 thousand children were living in low income, female lone-parent families in Canada. In addition, 389 thousand children were living with both their parents in low income households, representing the largest group among the different types of families.

Number of persons in low income, low income rate and average gap ratio by economic family type, annual.

Nearly 9 million Americans live in extreme-poverty neighborhoods, places that also tend to be racially segregated and dangerous. Yet, the effects on the well-being of residents of moving out of such communities into less distressed areas remain uncertain. Moving to Opportunity (MTO) is a randomized housing experiment administered by the United States Department of Housing and Urban Development that gave low-income families living in high-poverty areas in five cities the chance to move to lower-poverty areas. Families were randomly assigned to one of three groups: (1) The experimental group (also called the low-poverty voucher (LPV) group) received Section 8 rental assistance certificates or vouchers that they could use only in census tracts with 1990 poverty rates below 10 percent. The families received mobility counseling and help in leasing a new unit. One year after relocating, families could use their voucher to move again if they wished, without any special constraints on location. (2) The Section 8 group (also called the traditional voucher (TRV) group) received regular Section 8 certificates or vouchers that they could use anywhere; these families received no special mobility counseling. (3) The control group received no certificates or vouchers through MTO, but continued to be eligible for project-based housing assistance and whatever other social programs and services to which they would otherwise be entitled. Families were tracked from baseline (1994-98) through the long-term evaluation survey fielding period (2008-10) with the purpose of determining the effects of "neighborhood" on participating families. This data collection contains data from the 3,273 adult interviews completed as part of the MTO long-term evaluation and are comprised of adult variables that have been analyzed. Using data from the long-term evaluation, the associated article reports that moving from a high-poverty to lower-poverty neighborhood leads to long-term (10- to 15-year) improvements in adult physical and mental health and subjective well-being, despite not affecting economic self-sufficiency. The data contain all adult outcomes and mediators analyzed for the associated article as well as a variety of demographic and other baseline measures that were controlled for in the analysis.

The number and percentage of children living in families in receipt of Child Tax Credit (CTC) whose reported income is less than 60 per cent of the median income or in receipt of Income Support (IS) or Income-Based Jobseekers Allowance (JSA).

About this dataset

Context

The dataset presents median household incomes for various household sizes in Lower Frederick Township, Pennsylvania, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Lower Frederick township did not include 6, or 7-person households. Across the different household sizes in Lower Frederick township the mean income is $114,174, and the standard deviation is $36,893. The coefficient of variation (CV) is 32.31%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $58,807. It then further increased to $135,893 for 5-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/lower-frederick-township-pa-median-household-income-by-household-size.jpeg" alt="Lower Frederick Township, Pennsylvania median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Lower Frederick township median household income. You can refer the same here

Between 2019 and 2023, people living in households in the Asian and ‘Other’ ethnic groups were most likely to be in persistent low income before and after housing costs

This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

The number of persons in economic families with low income in Canada was 2.8 million in 2022. Between 1976 and 2022, the number rose by 370,000, though the increase followed an uneven trajectory rather than a consistent upward trend.

This paper examines the association between the Great Recession and real assets among families with young children. Real assets such as homes and cars are key indicators of economic well-being that may be especially valuable to low-income families. Using longitudinal data from the Fragile Families and Child Wellbeing Study (N = 4,898), we investigate the association between the city unemployment rate and home and car ownership and how the relationship varies by family structure (married, cohabiting, and single parents) and by race/ethnicity (White, Black, and Hispanic mothers). Using mother fixed-effects models, we find that a one percentage point increase in the unemployment rate is associated with a -0.5 percentage point decline in the probability of home ownership and a -0.7 percentage point decline in the probability of car ownership. We also find that the recession was associated with lower levels of home ownership for cohabiting families and for Hispanic families, as well as lower car ownership among single mothers and among Black mothers, whereas no change was observed among married families or White households. Considering that homes and cars are the most important assets among middle and low-income households in the U.S., these results suggest that the rise in the unemployment rate during the Great Recession may have increased household asset inequality across family structures and race/ethnicities, limiting economic mobility, and exacerbating the cycle of poverty.

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.

Characteristics of persons in low income families by low income lines.

Household low-income status using low-income measures (before and after tax) by household type (multigenerational, couple, lone parent, with and without children), age of members, number of earners, and year.

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 payments
• the effectiveness of child support
• the failure of some families to claim their benefit entitlement
• the persistent dfficulties experienced by some families, especially the lowest paid couples, in maintaining themselves in paid jobs
• the wider effects of the use of income-tested in-work benefits on incentives to work

The 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.

The findings from the 1991 survey tended to strengthen a case for policies aimed to 'make work pay' even though for some families, particularly the lowest-paid couples, cash incentives and gains in living standards were small. Respondents from the original 1991 survey were re-contacted and re-interviewed in 1996 and 1998.

This statistic shows the main obstacles to improving housing access for low-income families according to mayor in the United States in 2017. In that survey, ** percent of respondents said that the lack of state or federal funds was the biggest obstacle to improving housing access for low-income families.

Financial overview and grant giving statistics of Support to Encourage Low Income Families