This statistic shows the main obstacles to improving housing access for middle-income families according to mayors in the United States in 2017. In that survey, ** percent of respondents said that the lack of bank financing for individuals was the biggest obstacle to improving housing access for middle-income families.

Since 1960, the U.S. Department of Agriculture has provided estimates of expenditures on children from birth through age 17. This technical report presents the most recent estimates for married- couple and single-parent families using data from the 2011-15 Consumer Expenditure Survey (all data presented in 2015 dollars). Data and methods used in calculating annual child-rearing expenses are described. Estimates are provided for married-couple and single-parent families with two children for major components of the budget by age of child, family income, and region of residence. For the overall United States, annual child-rearing expense estimates ranged between $12,350 and $13,900 for a child in a two-child, married-couple family in the middle-income group. Adjustment factors for households with less than or greater than two children are also provided. Expenses vary considerably by household income level, region, and composition, emphasizing that a single estimate may not be applicable to all families. Results of this study may be of use in developing State child support and foster care guidelines, as well as public health and family-centered educational programs. i

This statistic shows the average income of a middle class family in the United States in 2014, by state. In 2014, the average middle-class family in Alaska had an income of ****** U.S. dollars per year. This was significantly higher than the national average of ****** U.S. dollars.

This is a mixed method data collection.

The importance of understanding young people's health and eating habits has been firmly stated by policymakers and there is an ongoing need to improve awareness of the factors which contribute to class inequalities in health between different population groups. There is little empirical research, however, which has looked at how the everyday practices and perceptions of middle-class young people and their families might contribute to class-based inequalities in diet, weight and overall health.

This study aimed to examine the dietary practices and health and weight conceptualisations of BMI-defined obese/overweight and non-obese/overweight young teenagers (aged 13-15 years) from middle-class families. These observations were situated within the 'habitus' of the family by exploring the aforementioned issues from the perspectives of teenagers' parents.

Whilst it is widely accepted that the unequal material circumstances associated with class distinctions influence people's lives and health, it is through attention to the everyday lived experience of deprivation or affluence that it can be seen how class might underpin growing inequalities in health. Bourdieu, in his work on habitus, argued that social distinctions are maintained through the production and control of bodily practices, which are, often, mundane and taken-for-granted. Bourdieu and others postulated that people from middle-class groups may be more likely to value enhanced wellbeing, rather than merely a functional absence of disease. In light of this, some commentators have argued that higher social class groups are protected against obesity because of the value they place on maintaining a socially acceptable thinner body. It is not known how such classed dispositions influence the food and eating practices of young middle-class teenagers and their families.

Further information about this study can be found at the project's ESRC award web page.

The Building Strong Families (BSF) project examined the effectiveness of programs designed to improve child well-being and strengthen the relationships of low-income couples through relationship skills education. It surveyed couples 15 months and 36 months after having applied to and been accepted into a Building Stronger Families (BSF) program at one of eight locations offering services to unwed couples expecting, or having recently had a baby. Major topics included family structure, parental involvement with children, relationships, personal and parental well-being, utilization of services such as workshops to help their relationship and parenting skills, paternity and child support, and family self-sufficiency. Respondents were asked for information on recently born children and relationship status, how much time they spent with their children, their level of satisfaction with their current relationship, substance use, if they had attended relationship and parental counseling, whether they were legally required to provide child support, employment, and family background. Additional information was asked about domestic violence and child abuse, legal trouble, past sexual history, and child development. The 36-month data collection effort also included direct assessments of parenting and child development. The quality of the parenting relationship was assessed for both mothers and fathers and was based on a semi-structured play activity, "the two-bag task." This interaction was videotaped and later coded by trained assessors on multiple dimensions of parenting. During assessments with mothers, the focal child's language development was also assessed using the Peabody Picture Vocabulary Test. Demographic data includes race, education level, age, income, and marital status. The data collection is comprised of seven parts. Part 1: the BSF Eligibility and Baseline Survey Data file; Part 2: the BSF 15-Month Follow-up Survey Data file; Part 3: the program participation data file; Part 4: the BSF 15-month follow-up analysis file; Part 5: the BSF 36-Month Follow-up Survey Data file; Part 6: the mother-child in-home assessment; and Part 7: the BSF 36-Month Follow-up analysis file.

Graph and download economic data for Real Median Family Income in the United States (MEFAINUSA672N) from 1953 to 2024 about family, median, income, real, and USA.

This partnership-based study identified how many middle and high school students take care of parents, siblings, and grandparents at home, via student surveys across Rhode Island public schools (N = 48,508; 46% White non-Latinx; 21% Latinx; 47% girls). Further, we investigated how students’ caregiving for family related to their school engagement, belonging, and emotional wellbeing. A sizable proportion of students reported caring for family for part (29%) or most of the day (7%). Girls and Black, Asian, Latinx, Native, and Multiracial youth were more likely to care for family compared to boys and White non-Latinx youth. Caregiving students from all demographics were more likely to experience intense sadness compared to non-caregivers, revealing a need to support caregiving youth in schools. In addition, caregiving girls reported lower levels of school engagement and school belonging. However, caregiving for part of the day was related to greater belonging among Black and Native youth.

Around *** million families in the United States had three or more children under 18 living in the household in 2023. In that same year, about ***** million households had no children under 18 living in the household.

About this dataset

Context

The dataset presents a breakdown of households across various income brackets in Middle Inlet, Wisconsin, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Middle Inlet, Wisconsin reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Middle Inlet town households based on income levels.

Key observations

• For Family Households: In Middle Inlet town, the majority of family households, representing 21.05%, earn $50,000 to $59,999, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 0.0%, have incomes falling $100,000 to $124,999, representing a smaller but still significant segment of the community.
• For Non-Family Households: In Middle Inlet town, the majority of non-family households, accounting for 23.24%, have income $25,000 to $29,999, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 0.0%, earn $100,000 to $124,999, representing a smaller, yet notable, portion of non-family households in the community.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income Levels:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in Middle Inlet, Wisconsin (As mentioned above).
• All Households: Count of households for the specified income level
• % All Households: Percentage of households at the specified income level relative to the total households in Middle Inlet, Wisconsin
• Family Households: Count of family households for the specified income level
• % Family Households: Percentage of family households at the specified income level relative to the total family households in Middle Inlet, Wisconsin
• Non-Family Households: Count of non-family households for the specified income level
• % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in Middle Inlet, Wisconsin

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 Middle Inlet town median household income. You can refer the same here

COVID-19 - Government income support and benefits of census family units by census family type and number of children (1, 2, 3, 4)Frequency: OccasionalTable: 11-10-0100-01Release date: 2023-07-12Geography: Canada, Province or territory, Census metropolitan area, Census agglomeration, Census metropolitan area part, Census agglomeration partFootnotes: 1 The data source for this table is the final version of the T1 Family File, created by the Centre for Income and Socio-Economic Well-being Statistics of Statistics Canada. Because they are based on a different methodology, estimates of the number of individuals and census families presented in this table differ from estimates produced by the Centre for Demography. Information on the data source, the historical availability, definitions of the terms used, and the geographies available can be found at https://www150.statcan.gc.ca/n1/en/catalogue/72-212-X" rel="external noopener noreferrer" target="_blank"> Technical Reference Guide for the Annual Income Estimates for Census Families2 This table should only be used in conjunction with income statistics produced using the T1 Family File. Because the counts available in this table are based on a different methodology, the family and person counts will differ from estimates produced by the Centre for Demography.3 COVID Benefits are benefits provided by the federal and provincial government during the pandemic to support individuals and families in 2020. More information is available from the https://www150.statcan.gc.ca/n1/en/catalogue/72-212-X" rel="external noopener noreferrer" target="_blank"> Technical Reference Guide for the Annual Income Estimates for Census Families4 Statistics are calculated based on families who received COVID benefits only.5 The Census Standard Geographical Classification (SGC) is used for data dissemination of the census metropolitan areas and the census agglomerations: from 2016 to 2020, SGC 2016; as of 2021, SGC 2021. 6 Census families are comprised of: 1) couples (married or common-law, including same-sex couples) living in the same dwelling with or without children, and 2) single parents (male or female) living with one or more children. Persons who are not matched to a family become persons not in census families. They may be living alone, with a family to whom they are related, with a family to whom they are unrelated or with other persons not in census families.7 A couple family consists of a couple living together (married or common-law, including same-sex couples) living at the same address with or without children.8 A lone-parent family is a family with only one parent, male or female, and with at least one child.9 A person not in census families is an individual who is not part of a census family, couple family or lone-parent family. Persons not in census families may live with their married children or with their children who have children of their own. They may be living with a family to whom they are related or unrelated. They may also be living alone or with other non-family persons.10 Children are tax filers or imputed persons in couple and lone-parent families. Tax filing children do not live with their spouse, have no children of their own and live with their parent(s). Most children are identified from the Canada Child Tax Benefit file, a provincial births file or a previous T1 family file.11 Median is the middle number in a group of numbers. Where a median income, for example, is given as $26,000, it means that exactly half of the incomes reported are greater than or equal to $26,000, and that the other half is less than or equal to the median amount. 12 Total income is income from all sources. As of 2020, COVID-19 - Government income support and benefits are included in income estimates. A detailed definition of what is included in total income is available from the Technical Reference Guide for the Preliminary Estimates from the T1 Family File (T1FF) - opens in a new browser window."

About this dataset

Context

The dataset presents median household incomes for various household sizes in Middle Point, OH, 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, Middle Point did not include 5, or 7-person households. Across the different household sizes in Middle Point the mean income is $61,920, and the standard deviation is $18,851. The coefficient of variation (CV) is 30.44%. 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 $39,408. It then further increased to $60,801 for 6-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/middle-point-oh-median-household-income-by-household-size.jpeg" alt="Middle Point, OH 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 Middle Point median household income. You can refer the same here

Graph and download economic data for Estimate of Related Children Age 5-17 in Families in Poverty for United States (PE5T17US00000A647NCEN) from 1989 to 2023 about 5 to 17 years, family, child, poverty, persons, and USA.

ObjectivesThe elderly face multiple vulnerabilities such as health, economy and society, and are prone to catastrophic health expenditures. This study aims to analyze the impact of children's intergenerational economic support, emotional support, and illness on the catastrophic health expenditures of middle-aged and elderly families.MethodsUsing China Health and Retirement Longitudinal Study (CHARLS 2018) data to calculate the catastrophic health expenditure of Chinese households as the dependent variable. Taking children's intergenerational economic support, emotional support and multimorbidity as core independent variables, gender, age, marital status, medical insurance and other variables as control variables, and perform logistic regression analysis. According to the heterogeneity analysis of age and gender, the impact of intergenerational economic support, emotional support and multimorbidity on the catastrophic health expenditure of middle-aged and elderly families is explored.ResultsWhen catastrophic health expenditures occur in middle-aged and elderly families, the children's intergenerational economic support will increase significantly, especially in families with members aged 60–74. Children's emotional support can effectively reduce the risk of catastrophic health expenditures for middle-aged and elderly families. Compared with children's intergenerational economic support and emotional support, the impact of multimorbidity on the catastrophic health expenditures of middle-aged and elderly families is the most significant. Suffering from multimorbidity can increase the risk of catastrophic health expenditures for middle-aged and elderly families, especially families with male members suffering from multiple diseases.ConclusionsIt is recommended that we should do a good job in popularizing the knowledge of chronic diseases to minimize the occurrence of multimorbidity. The government should establish group medical insurance related to chronic disease diagnosis. According to the severity of the disease or the special circumstances of the patient, the level of medical insurance reimbursement is divided in detail, especially for chronic disease clinics and drug reimbursement. Children should be encouraged to strengthen the emotional connection and effective care of the elderly, focusing on the elderly 60–74 years old, in order to reduce their care pressure and maintain the physical and mental health of the elderly.

Graph and download economic data for Estimated Percent of Related Children Age 5-17 in Families in Poverty for Wayne County, MO (PP5T17MO29223A156NCEN) from 1989 to 2023 about Wayne County, MO; 5 to 17 years; MO; family; child; poverty; percent; and USA.

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.

About this dataset

Context

The dataset presents a breakdown of households across various income brackets in Middle Branch Township, Michigan, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Middle Branch Township, Michigan reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Middle Branch township households based on income levels.

Key observations

• For Family Households: In Middle Branch township, the majority of family households, representing 16.75%, earn $25,000 to $29,999, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 0.49%, have incomes falling $20,000 to $24,999, representing a smaller but still significant segment of the community.
• For Non-Family Households: In Middle Branch township, the majority of non-family households, accounting for 17.59%, have income $30,000 to $34,999, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 0.0%, earn $20,000 to $24,999, representing a smaller, yet notable, portion of non-family households in the community.

Content

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

Income Levels:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in Middle Branch Township, Michigan (As mentioned above).
• All Households: Count of households for the specified income level
• % All Households: Percentage of households at the specified income level relative to the total households in Middle Branch Township, Michigan
• Family Households: Count of family households for the specified income level
• % Family Households: Percentage of family households at the specified income level relative to the total family households in Middle Branch Township, Michigan
• Non-Family Households: Count of non-family households for the specified income level
• % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in Middle Branch Township, Michigan

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 Middle Branch township median household income. You can refer the same here

This data collection is the third wave of an intensive study in Boston, Chicago, and San Antonio, which was initiated to assess the well-being of low-income children and families in the post-welfare reform era. The project investigates the strategies families have used to respond to reform, in terms of employment, schooling or other forms of training, residential mobility, and fertility. Central to this project is a focus on how these strategies affect children's lives, with an emphasis on their health and development as well as their need for, and use of, social services. For the first wave of the study, between March 1999 and December 1999, a random sample of approximately 2,400 households with children in low-income neighborhoods in Boston, Chicago, and San Antonio were selected for interviews. Forty percent of the families interviewed were receiving cash welfare payments at the time of the interview. Each household had a child aged 0 to 4 or aged 10 to 14 at the time of the interview. The child and the child's primary female caregiver are the focus of the study. Extensive baseline information was gathered at the initial personal interview with the caregivers, tested younger children were assessed, and older children were interviewed. All interviews were conducted in-person using a computerized instrument. The third wave of data collection took place between February 2005 and January 2006, when the focal children were aged 5 to 10 or aged 15 to 20. Between May 2005 and May 2006, interviews were conducted with the teachers of the focal children.

Socio-demographic and technology-related characteristics of the participants (N = 385).