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

In 2024, around ********** households in Japan were households in which both husband and wife were employees. The rise in dual-income households indicated an increasing participation of women in the labor market.

The total number of dual-earner families in Canada increased by 0.2 million numbers (+3.91 percent) in 2022. Therefore, the total number in Canada reached a peak in 2022 with 5.34 million numbers.

In 2018 in South Korea, a little more than half of all households with *** or *** children less than 17 years old were dual-earner families, meaning both parents worked for a living. For families with more than ***** children, the share of dual-earner families was under ** percent.

This statistic depicts the total number of dual-earner couple families in Canada in 2020, distinguished by the number of children. In 2020, about 1.4 million Canadian dual-earner families had two children.

Graph and download economic data for Expenditures: Household Operations by Number of Earners: Consumer Units of Two or More People, Two Earners (CXUHHOPERLB0706M) from 1984 to 2023 about operating, expenditures, households, consumer, persons, and USA.

Average Family Income: Philippines: Two Persons data was reported at 192,000.000 PHP in 2015. This records an increase from the previous number of 167,000.000 PHP for 2012. Average Family Income: Philippines: Two Persons data is updated yearly, averaging 179,500.000 PHP from Dec 2012 (Median) to 2015, with 2 observations. The data reached an all-time high of 192,000.000 PHP in 2015 and a record low of 167,000.000 PHP in 2012. Average Family Income: Philippines: Two Persons data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.H021: Family Income and Expenditure Survey: Average Annual Income: By Family Size and Income Group.

's Dual income households is 143,062[households] which is the 30th highest in Japan (by Prefecture). Transition Graphs and Comparison chart between Ishikawa and Oita(Oita) and Miyazaki(Miyazaki)(Closest Prefecture in Population) are available. Various data can be downloaded and output in csv format for use in EXCEL free of charge.

The Survey of Consumer Finances (SCF) is conducted annually to obtain work experience and income information from Canadian households. The Survey provides up-to-date information on the distribution and sources of income, before and after taxes, for families and individuals. With this file, users may identify specific family types, such as two-parent and lone-parent families. Information is also provided on earnings, transfers, and total income for the head and the spouse of the census family unit, as well as personal and labour-related characteristics. The reference year for this file is 1987. Commencing with the 1998 microdata files, annual cross-sectional income data will be sourced from the Survey of Labour and Income Dynamics (SLID).

The National Survey of America's Families (NSAF) is a household survey that provides a comprehensive look at quantitative measures of the well-being of children, adults, and their families. While the focus of the survey is at the state level, the scope is national -- with a primary emphasis on low-income families. NSAF information was gathered from interviews conducted with the Most Knowledgeable Adult (MKA), the person in the household who was most knowledgeable about the questions being asked about the respondent, their spouse/partner (if applicable) and the focal child (or children). Data were collected from more than 40,000 families in two stages. First, a screener interview was administered to determine whether a household was eligible to complete the second, extended interview. Two types of extended interviews were administered. Option A interviews were used in households with children under age 18. Option B interviews were used in childless adult households and also with emancipated minors. The extended interview was divided into several sections and is labeled A through P below:

A. Student Status. This section contained two questions that asked whether the respondent was a student and whether that household was the respondent's usual residence. B. Health Status and Satisfaction. These questions asked about the respondent's satisfaction with health care, access to health care, the health status of the focal children, and the health status of the respondent. C. Parent/Child/Family Interaction and Education. This series of questions asked about education for focal children. Questions addressed the focal child's current grade (or the last grade completed) and the child's attitudes toward school and schoolwork, skipping school, suspensions, and changing schools. Questions were also asked about children over 11 years old working for pay and attending summer school. D. Household Roster. In this section, the name, age, and sex of all persons living in the household were recorded, and relationships between all household members were investigated. E. Health Care Coverage. Information was gathered about current health insurance coverage for the respondent, the respondent's spouse/partner, and the focal children. Questions were also asked about characteristics of that coverage and of periods in which family members had no insurance coverage. F. Health Care Use and Access. This section gathered information about health status, health care services received, and necessary health care services that were postponed during the preceding 12 months. Questions on routine care, overnight stays in hospitals, dental care, mental health care, women's health care, well-child care, and prescription medicines were also included. G. Child Care. In this section, respondents were queried as to child care arrangements including Head Start, child care centers, before- or after-school care, and babysitters. Questions were asked about the total number of hours per week in each care situation, the typical number of children cared for, the typical number of adult child care providers, and child care costs. H. Nonresidential Parent/Father. These questions determined whether a focal child had a nonresident parent, how often the child saw his/her nonresident parent, whether the nonresident parent provided financial support, and whether nonresident parents were required by child support orders to provide financial support. I. Employment and Earnings. This section contained a series of questions about the employment and earnings of the respondent and the spouse/partnerfor the current and preceding year. Topics included employment status, occupation, industry, employer-provided health insurance, hours worked, and earnings. Some questions were also asked about the earnings of other family members. J. Family Income. Family income also was identified from a wide variety of sources other than earnings from employment. These sources included public assistance (e.g., Aid to Families with Dependent Children [AFDC], General Assistance, Emergency Assistance, or vouchers), Food Stamps, child support, foster care payments, financial assistance from friends or relatives, unemployment compensation, workers' compensation or veterans' payments, Supplemental Security Income, Social Security, pe

This is income-based data for each household for childcare support. (Base Year, Judgment Level, Income Standard, Number of Household Members, Income Standard Amount)

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

About this dataset

Context

The dataset presents median household incomes for various household sizes in Two Rivers, WI, 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, Two Rivers did not include 7-person households. Across the different household sizes in Two Rivers the mean income is $72,462, and the standard deviation is $22,057. 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 $37,407. It then further increased to $59,282 for 6-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/two-rivers-wi-median-household-income-by-household-size.jpeg" alt="Two Rivers, WI 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 Two Rivers median household income. You can refer the same here

In 2023, approximately **** percent of households in South Korea were dual-earner families, slightly increased from around **** percent in the previous year. The share of dual-income households fluctuated in the past years, but gradually increased overall.

China Proportion of People Living Below 50 Percent Of Median Income: % data was reported at 11.600 % in 2021. This records a decrease from the previous number of 11.900 % for 2020. China Proportion of People Living Below 50 Percent Of Median Income: % data is updated yearly, averaging 15.100 % from Dec 1990 (Median) to 2021, with 19 observations. The data reached an all-time high of 19.500 % in 2010 and a record low of 8.900 % in 1990. China Proportion of People Living Below 50 Percent Of Median Income: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s China – Table CN.World Bank.WDI: Social: Poverty and Inequality. The percentage of people in the population who live in households whose per capita income or consumption is below half of the median income or consumption per capita. The median is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries, medians are not reported due to grouped and/or confidential data. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

This dataset contains interview data for a phenomenological study as part of the doctoral thesis “Parents’ Unsociable Work Schedules and Children’s Well-Being: A Mixed Methods Study of Dual-Earner Households in Mainland China.” The study aims to explore the lived experiences of children living in Chinese dual-earner households where parents are exposed to unsociable work schedules, defined as work scheduling practices that are not conducive to direct ad stable parental involvement, such as long work hours, night shifts, weekend work, inflexible scheduling, and on-call duties. Fifteen children from dual-earner households in mainland China were recruited to participate in semi-structured interviews. The interviews were conducted remotely via WeChat video calls in December 2023, with all participants joining from their homes. Each interview lasted between 35 and 60 minutes and was conducted in Mandarin Chinese. The sessions were audio-recorded and subsequently transcribed verbatim. To ensure the privacy and confidentiality of participants, all data were anonymized, removing any identifying information about the individuals included in the dataset. The data files comprise fifteen verbatim transcripts of the interview data.

IntroductionThere is evidence that two-generation early childhood programs, those that strive to support not only child development, but also optimal parenting and family wellbeing, help to foster resilience for young children and their families in the face of adversity.MethodsUsing data from a large experimental evaluation, the Early Head Start Research and Evaluation Project, this paper explores how parenting and family self-sufficiency services embedded in Early Head Start (EHS), a federally funded, nationally implemented two-generation early childhood program for low-income families lasting from pregnancy and until children are three, contribute to the impacts of the program for both the children and their families.ResultsParenting support in any modality (home visiting, case management or parent education) contributed to program impacts on important child and family outcomes, but not parent employment. Somewhat surprisingly, family receipt of employment services did not lead to any of the impacts of the program, while education and job training services did. When EHS parents received education or job training services, it led to impacts not only on mother employment, but also on other important family and child outcomes.DiscussionThese findings validate and reinforce the two-generation approach of EHS, specifically supporting the focus on parenting and parent education and job training.

Graph and download economic data for Income Before Taxes: Wages and Salaries by Number of Earners: Consumer Units of Two or More People, One Earner (CXU900000LB0705M) from 1984 to 2023 about salaries, tax, wages, consumer, income, persons, and USA.

Spain Household Annual Net Income: Avg: Two Adults with One or More Dependent Children data was reported at 32,731.000 EUR in 2015. This records an increase from the previous number of 31,558.000 EUR for 2014. Spain Household Annual Net Income: Avg: Two Adults with One or More Dependent Children data is updated yearly, averaging 32,731.000 EUR from Dec 2007 (Median) to 2015, with 9 observations. The data reached an all-time high of 34,858.000 EUR in 2009 and a record low of 30,936.000 EUR in 2012. Spain Household Annual Net Income: Avg: Two Adults with One or More Dependent Children data remains active status in CEIC and is reported by National Statistics Institute. The data is categorized under Global Database’s Spain – Table ES.H017: Households Net Income.

The acquisition of chopstick skills is considered essential for child development and etiquette in many Asian cultures. However, a decline in chopstick education has been observed in Japan, and the underlying causes of this phenomenon remain elusive. This study aims to investigate children’s chopstick skills and develop an objective method to evaluate them using a hand posture estimation model. In this study. A questionnaire survey was conducted among 165 first-grade elementary school students (aged 6–7) and their parents to investigate factors influencing chopstick proficiency. To complement this, video analyses were performed using a hand posture estimation model to assess the accuracy of chopstick grip classification. The findings showed that children’s chopstick-holding styles could be classified into four categories: four-finger prehension (64 participants), three-finger prehension (49 participants), palm prehension (20 participants), and others (32 participants). Despite the fact that over 80% of parents reported teaching their children how to use chopsticks, a mere 9.7% of children exhibited correct chopstick-holding technique. Interestingly, factors such as intergenerational cohabitation with grandparents and child’s age significantly influenced chopstick proficiency. These results indicate that a gap exists in the intergenerational transmission of chopstick skills, with parents potentially lacking sufficient knowledge to teach their children. The hand posture estimation model had a high accuracy rate of 85%, precision of 83%, and recall of 88% to identify whether children use chopsticks traditionally. While chopstick education is predominantly conducted within Japanese households, the increasing prevalence of nuclear families and dual-income households suggests a decline in intergenerational transmission of chopstick education. To address this issue, it is imperative to develop web applications that can integrate chopstick education into school curricula and promote chopstick skills among students.