This statistic shows the median household income in the United States from 1990 to 2023 in 2023 U.S. dollars. The median household income was 80,610 U.S. dollars in 2023, an increase from the previous year. Household incomeThe median household income depicts the income of households, including the income of the householder and all other individuals aged 15 years or over living in the household. Income includes wages and salaries, unemployment insurance, disability payments, child support payments received, regular rental receipts, as well as any personal business, investment, or other kinds of income received routinely. The median household income in the United States varies from state to state. In 2020, the median household income was 86,725 U.S. dollars in Massachusetts, while the median household income in Mississippi was approximately 44,966 U.S. dollars at that time. Household income is also used to determine the poverty line in the United States. In 2021, about 11.6 percent of the U.S. population was living in poverty. The child poverty rate, which represents people under the age of 18 living in poverty, has been growing steadily over the first decade since the turn of the century, from 16.2 percent of the children living below the poverty line in year 2000 to 22 percent in 2010. In 2021, it had lowered to 15.3 percent. The state with the widest gap between the rich and the poor was New York, with a Gini coefficient score of 0.51 in 2019. The Gini coefficient is calculated by looking at average income rates. A score of zero would reflect perfect income equality and a score of one indicates a society where one person would have all the money and all other people have nothing.

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

Families of tax filers; Census families by total income, family type and number of children (final T1 Family File; T1FF).

Families of tax filers; Single-earner and dual-earner census families by number of children (final T1 Family File; T1FF).

In 2021, the birth rate in the United States was highest in families that had under 10,000 U.S. dollars in income per year, at 62.75 births per 1,000 women. As the income scale increases, the birth rate decreases, with families making 200,000 U.S. dollars or more per year having the second-lowest birth rate, at 47.57 births per 1,000 women. Income and the birth rate Income and high birth rates are strongly linked, not just in the United States, but around the world. Women in lower income brackets tend to have higher birth rates across the board. There are many factors at play in birth rates, such as the education level of the mother, ethnicity of the mother, and even where someone lives. The fertility rate in the United States The fertility rate in the United States has declined in recent years, and it seems that more and more women are waiting longer to begin having children. Studies have shown that the average age of the mother at the birth of their first child in the United States was 27.4 years old, although this figure varies for different ethnic origins.

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."

Australia Average Number of Dependent Children in Household: Multiple Family data was reported at 1.200 Person in 2020. This records a decrease from the previous number of 1.400 Person for 2018. Australia Average Number of Dependent Children in Household: Multiple Family data is updated yearly, averaging 1.300 Person from Jun 2004 (Median) to 2020, with 9 observations. The data reached an all-time high of 1.500 Person in 2016 and a record low of 1.200 Person in 2020. Australia Average Number of Dependent Children in Household: Multiple Family data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.H039: Survey of Income and Housing: Average Number of Dependent Children in Household: by Family Composition.

The Child Care and Development Fund (CCDF) provides federal money to states and territories to provide assistance to low-income families, to obtain quality child care so they can work, attend training, or receive education. Within the broad federal parameters, States and Territories set the detailed policies. Those details determine whether a particular family will or will not be eligible for subsidies, how much the family will have to pay for the care, how families apply for and retain subsidies, the maximum amounts that child care providers will be reimbursed, and the administrative procedures that providers must follow. Thus, while CCDF is a single program from the perspective of federal law, it is in practice a different program in every state and territory. The CCDF Policies Database project is a comprehensive, up-to-date database of CCDF policy information that supports the needs of a variety of audiences through (1) analytic data files, (2) a project website and search tool, and (3) an annual report (Book of Tables). These resources are made available to researchers, administrators, and policymakers with the goal of addressing important questions concerning the effects of child care subsidy policies and practices on the children and families served. A description of the data files, project website and search tool, and Book of Tables is provided below: 1. Detailed, longitudinal analytic data files provide CCDF policy information for all 50 states, the District of Columbia, and the United States territories and outlying areas that capture the policies actually in effect at a point in time, rather than proposals or legislation. They capture changes throughout each year, allowing users to access the policies in place at any point in time between October 2009 and the most recent data release. The data are organized into 32 categories with each category of variables separated into its own dataset. The categories span five general areas of policy including: Eligibility Requirements for Families and Children (Datasets 1-5) Family Application, Terms of Authorization, and Redetermination (Datasets 6-13) Family Payments (Datasets 14-18) Policies for Providers, Including Maximum Reimbursement Rates (Datasets 19-27) Overall Administrative and Quality Information Plans (Datasets 28-32) The information in the data files is based primarily on the documents that caseworkers use as they work with families and providers (often termed "caseworker manuals"). The caseworker manuals generally provide much more detailed information on eligibility, family payments, and provider-related policies than the CCDF Plans submitted by states and territories to the federal government. The caseworker manuals also provide ongoing detail for periods in between CCDF Plan dates. Each dataset contains a series of variables designed to capture the intricacies of the rules covered in the category. The variables include a mix of categorical, numeric, and text variables. Most variables have a corresponding notes field to capture additional details related to that particular variable. In addition, each category has an additional notes field to capture any information regarding the rules that is not already outlined in the category's variables. Beginning with the 2020 files, the analytic data files are supplemented by four additional data files containing select policy information featured in the annual reports (prior to 2020, the full detail of the annual reports was reproduced as data files). The supplemental data files are available as 4 datasets (Datasets 33-36) and present key aspects of the differences in CCDF-funded programs across all states and territories as of October 1 of each year (2009-2022). The files include variables that are calculated using several variables from the analytic data files (Datasets 1-32) (such as copayment amounts for example family situations) and information that is part of the annual project reports (the annual Book of Tables) but not stored in the full database (such as summary market rate survey information from the CCDF plans). 2. The project website and search tool provide access to a point-and-click user interface. Users can select from the full set of public data to create custom tables. The website also provides access to the full range of reports and products released under the CCDF Policies Data

The figures presented here are from the End Child Poverty Coalition are based on tax credit data, used to estimate the percentage of children on low incomes in local authorities, parliamentary constituencies and wards across the UK. They also use national trends in worklessness to estimate recent changes in the number of children who are in poverty because their parents have lost their jobs, to update the local tax credit data which is more than two years old. This is not a direct measure of exactly how many children are in poverty on the official definition, but is based on the closest to an equivalent measure we have of local levels of child poverty. The data have been adjusted to produce figures compatible with the measures derived from the national survey of income, showing how many children live in households with below 60 per cent of median income. Specifically, the adjustments ensure that the total reported level of child poverty, before and after housing costs, is similar when adding up all the local figures as the official national totals. Thus, the local data gives an idea of the relative poverty levels in different areas, but are adjusted to estimate what these actual levels would be if they could be measured on the same basis as the national household income survey. The local data starts by classifying children in poverty if they live in families in receipt of out of work benefits or in receipt of in-work tax credits where their reported family income is less than 60 per cent of median income. This indicator, compiled officially as a local estimate of child poverty, has been reported for August 2011 by HMRC. However, on its own it is provides an inaccurate picture of actual child poverty, considerably overstating the numbers in out-of-work poverty and understating the numbers in working poverty. While these factors may balance out overall, they can seriously misrepresent the overall trend where working and non-working poverty change in different ways, as well as misrepresenting local differences where working poverty is relatively more important in some areas than others. Therefore, the figures include an upward adjustment in the in-work figure and a downward adjustment in the out-of-work figure. The adjustments are made separately to for AHC and BHC estimates, in each case according to how the total of the local estimates compare to the actual national measure. Figures are then updated, taking into account Labour Force Survey data on the number of children in non-working households for the final quarter of 2013. Additional metadata: - Licence: http://reference.data.gov.uk/id/open-government-licence

Summary

The State of Early Education and Care in Boston: Supply, Demand, Affordability, and Quality, is the first in what is planned as a recurrent landscape survey of early childhood, preschool and childcare programs in every neighborhood of Boston. It focuses on potential supply, demand and gaps in child-care seats (availability, quality and affordability). This report’s estimates set a baseline understanding to help focus and track investments and policy changes for early childhood in the city.

This publication is a culmination of efforts by a diverse data committee representing providers, parents, funding agencies, policymakers, advocates, and researchers. The report includes data from several sources, such as American Community Survey, Massachusetts Department of Early Education and Care, Massachusetts Department of Elementary & Secondary Education, Boston Public Health Commission, City of Boston, among others. For detailed information on methodology, findings and recommendations, please access the full report here

The first dataset contains all Census data used in the publication. Data is presented by neighborhoods:

• Population 0 – 5 years;
• Population 0 – 2 years;
• Population 3 – 5 years;
• Race/ethnicity for children 0 – 4 years (White, non-Hispanic; Black; Asian; Hispanic/Latinx);
• Family type (married couples, female householder, male householder);
• Poverty status;
• Family median income in the past 12 months;
• Average cost of care as a percentage of median family income (infant, preschool);
• Share of families that cannot afford care (infant, preschool)

The Boston Planning & Development Agency Research Division analyzed 2013-2017 American Community Survey data to estimate numbers by ZIP-Code. The Boston Opportunity Agenda combined that data by the approximate neighborhoods and estimated cost of care and affordability.

Additional notes:

• Record Type: Each record represents a ZIP-Code defined neighborhood. See list below for detailed information on Boston ZIP-Codes used to create each one of the 15 neighborhoods.
• Data Quality: Numbers presented here came from 2013-2017 American Community Survey data. Therefore, these are ESTIMATES and have margin of errors. The smaller the geographical unit, the greater the margin of error. The Boston Planning & Development Agency analyzed the data to estimate numbers by ZIP-Code.
• Race/Ethnicity: Non-White Hispanics may be double counted due to data limitations.
• Cost of Care: The average cost of care as a percentage of median family income was computed assuming the annual average cost of infant care was $19,877 and the average cost of preschool care was $ 13,771 (Childcare Aware of America, 2019). For each neighborhood we estimated the impact of child care (infant and preschool) on its median annual family income.
• Affordability: The Department of Health and Human Services (DHHS) sets a standard regarding the affordability of child care, where the annual cost of child care should not exceed 10 percent of household annual income. Using this 10% threshold, we estimated that to afford market rate infant care, a family’s annual income would have to be at least $198,770. The census income bracket closest to this income was a family income of $150,000– 199,999. To afford preschool care, a family's annual income should be at least $137,710. Thus, the census income bracket that encompass this income is $125,000 - 149,999. For both infant and preschool care, we underestimated the number of families that can afford care.

Net annual earnings for a single earner family with two children in the European Union have increased from 25,434 euros in 2013 to 33,939 euros over the period from 2013 to 2023. Net earnings received a boost during the pandemic years of 2020 and 2021, in spite of gross earnings decreasing in 2020, due to reduced taxes and increased family allowances.

According to Cognitive Market Research, the global Kids Toys market size is USD 60251.2 million in 2024 and will expand at a compound annual growth rate (CAGR) of 3.50% from 2024 to 2031.

North America held the major market of more than 40% of the global revenue with a market size of USD 24100.48 million in 2024 and will grow at a compound annual growth rate (CAGR) of 1.7% from 2024 to 2031.
Europe accounted for a share of over 30% of the global market size of USD 18057.36 million.
Asia Pacific held the market of around 23% of the global revenue with a market size of USD 13857.78 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.5% from 2024 to 2031.
Latin America market of more than 5% of the global revenue with a market size of USD 3012.56 million in 2024 and will grow at a compound annual growth rate (CAGR) of 2.9% from 2024 to 2031.
Middle East and Africa held the major market of around 2% of the global revenue with a market size of USD 1205.02 million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.2% from 2024 to 2031.

Market Dynamics of the Kids Toys Market

Key Driver of the market

Rising Disposable Income and Urbanization to Increase the Demand Globally

Growing disposable income encourages families to spend more on high-quality toys for their kids, particularly in developing countries. Due to the limited outside areas in cities, urbanization exacerbates this tendency, which makes families mostly rely on toys for inside enjoyment. Convenience and compact living are top priorities in urban lifestyles, driving demand for creative and entertaining indoor toys. Urbanization and rising disposable income are changing consumer tastes and placing a premium on indoor leisure options. As a result, the toy industry changed to meet these changing needs, emphasizing the production of engaging and instructive indoor toys that fit in with contemporary family life.

Increased Focus on Child Development to Propel Market Growth

Growing numbers of parents are realizing how important play is in helping their kids develop their social and cognitive abilities, which is why child development is receiving more and more attention. The increased demand for toys that support educational and developmental objectives in addition to providing entertainment is being driven by this understanding. Parents actively seek toys that promote social interaction, imagination, and creativity. In response, the industry offers an abundance of educational toys meant to foster different talents and improve cognitive abilities. This change reflects parents' increasing interest in holistic child development. It is driving the toy business to become more stimulating and educational, in line with the growing recognition of play as an essential component of early learning.

Market Restraints of the Kids Toys Market

Safety Concerns to Limit the Sales

Parental concerns about their children's safety are a major factor in the toy industry. Tight rules and sporadic product recalls can greatly impact market dynamics. To alleviate these concerns, manufacturers must implement strong quality control procedures and strict adherence to safety regulations. Upholding safety regulations becomes crucial for maintaining customer confidence and guaranteeing market expansion. Businesses that put safety first and make it known to the public not only comply with regulations but also build a strong brand identity and become trusted suppliers in a market where buying decisions are largely influenced by parents' concerns about the safety of their children.

Impact of Covid-19 on the Kids Toys Market

The COVID-19 epidemic caused significant changes in the toy business for kids. Although there were initial production and supply chain logistical problems, lockdowns led to an increase in home-based activities, which in turn caused a boom in demand for the product. Toys that encouraged creativity and learning were more popular because parents were placing more value on educational materials and entertainment for their children to enjoy at home. The industry's digital shift was further accelerated by e-commerce becoming a dominating channel for toy purchasing. The growing importance of safety concerns influenced parents' decisions. The market for children's toys showed resilience by adjusting to changing consumer behaviors and highli...

In 2019, the state of California had the least affordable child care.The cost of care is presented as a percentage of state median income for a two-parent family. About 18 percent of the median income of a two-parent family had to be spent for full-time care for an infant in a child care center.

In 2019, the state of California had the least affordable child care for school-aged children. The cost of care is presented as a percentage of state median income for a two-parent family. A two-parent family, living in the state, spent 19 percent of their median income for full-time care of a school-aged child in a child care center.

As of January 2022, the largest share of Chinese middle-class families had an annual income of between 100 thousand and 300 thousand yuan per year. According to the same survey, almost 90 percent of respondents have at least one child. Many middle-class families in China face significant financial burdens because not only do living costs continuously increase but they also often have to support their parents. In that case, one family has to care for four elders and least one kid.

In Norway, couples with children where the oldest child was 18 years or older had the highest average income after tax in 2022. Their median income amounted to roughly 1.2 million Norwegian kroner in 2022. By comparison, singles aged 65 years or more had the lowest mean income with just 311,700 kroner that year.

The statistic shows the 20 countries with the lowest fertility rates in 2024. All figures are estimates. In 2024, the fertility rate in Taiwan was estimated to be at 1.11 children per woman, making it the lowest fertility rate worldwide. Fertility rate The fertility rate is the average number of children born per woman of child-bearing age in a country. Usually, a woman aged between 15 and 45 is considered to be in her child-bearing years. The fertility rate of a country provides an insight into its economic state, as well as the level of health and education of its population. Developing countries usually have a higher fertility rate due to lack of access to birth control and contraception, and to women usually foregoing a higher education, or even any education at all, in favor of taking care of housework. Many families in poorer countries also need their children to help provide for the family by starting to work early and/or as caretakers for their parents in old age. In developed countries, fertility rates and birth rates are usually much lower, as birth control is easier to obtain and women often choose a career before becoming a mother. Additionally, if the number of women of child-bearing age declines, so does the fertility rate of a country. As can be seen above, countries like Hong Kong are a good example for women leaving the patriarchal structures and focusing on their own career instead of becoming a mother at a young age, causing a decline of the country’s fertility rate. A look at the fertility rate per woman worldwide by income group also shows that women with a low income tend to have more children than those with a high income. The United States are neither among the countries with the lowest, nor among those with the highest fertility rate, by the way. At 2.08 children per woman, the fertility rate in the US has been continuously slightly below the global average of about 2.4 children per woman over the last decade.