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.

About this dataset

Context

The dataset presents median household incomes for various household sizes in Comfort Township, Minnesota, 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, all of the household sizes were found in Comfort township. Across the different household sizes in Comfort township the mean income is $93,071, and the standard deviation is $49,348. The coefficient of variation (CV) is 53.02%. 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 $17,565. It then further increased to $63,954 for 7-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/comfort-township-mn-median-household-income-by-household-size.jpeg" alt="Comfort Township, Minnesota 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 Comfort township median household income. You can refer the same here

The median family income in the United States grew to 100,800 U.S. dollars in 2023, an increase on the previous year. Family income is the total income earned by all family members who have been living in the household for at least one year and are at least 14 years old.

About this dataset

Context

The dataset presents a breakdown of households across various income brackets in Comfort Township, Minnesota, 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 Comfort Township, Minnesota 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 Comfort township households based on income levels.

Key observations

• For Family Households: In Comfort township, the majority of family households, representing 19.66%, earn $75,000 to $99,999, 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 $30,000 to $34,999, representing a smaller but still significant segment of the community.
• For Non-Family Households: In Comfort township, the majority of non-family households, accounting for 22.86%, have income $60,000 to $74,999, 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 $30,000 to $34,999, 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 Comfort Township, Minnesota (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 Comfort Township, Minnesota
• 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 Comfort Township, Minnesota
• 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 Comfort Township, Minnesota

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 Comfort township median household income. You can refer the same here

This table contains data on the living wage and the percent of families with incomes below the living wage for California, its counties, regions and cities/towns. Living wage is the wage needed to cover basic family expenses (basic needs budget) plus all relevant taxes; it does not include publicly provided income or housing assistance. The percent of families below the living wage was calculated using data from the Living Wage Calculator and the U.S. Census Bureau, American Community Survey. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. The living wage is the wage or annual income that covers the cost of the bare necessities of life for a worker and his/her family. These necessities include housing, transportation, food, childcare, health care, and payment of taxes. Low income populations and non-white race/ethnic have disproportionately lower wages, poorer housing, and higher levels of food insecurity. More information about the data table and a data dictionary can be found in the About/Attachments section.

A structured overview of the average, net, median, and minimum wage in Germany for 2025. This dataset combines original market research conducted by KUMMUNI GmbH with publicly available data from the German Federal Statistical Office. It includes values with and without bonuses, hourly minimum wage, and take-home pay after tax.

The study on people with low incomes was conducted by Veian on behalf of the Press and Information Office of the Federal Government. In the survey period from 4 July 2024 to 15 July 2024, 1,019 German-speaking people aged 18 and over with a needs-weighted monthly net income of up to EUR 1,500 in Germany (low-income earners) were surveyed in online interviews (CAWI) on the following topics: Burden of inflation and future prospects, ideas of justice, insecurities, financial situation, awareness of reforms of social benefits, assessment of relief measures, use of social benefits and assessment of the new regulations on the Citizen´s Income. The respondents were selected using a quota sample from an online access panel.
Concerns about inflation: extent of the impact of general price increases. Block A - Future prospects: Confidence vs. worries with regard to personal future in the following areas: financial situation, housing situation, health, old-age provision and career prospects; assessment of own children´s future prospects.

Block B - Ideas of justice: Importance of different aspects of justice (intergenerational justice; performance justice, opportunity justice, family justice, distributive justice and needs justice); most important aspects of justice (order).

Block C - (In)certainties: Agreement with statements on own lifeworld (changes in society frighten me, I feel left alone by the state, I have good friends who support me, I am flexible enough to be able to adapt to difficult situations, I can largely determine my own life, in financial emergencies I can rely on the financial support of my parents/siblings or other relatives, I perceive life as a constant struggle, I feel marginalized in society, within the scope of my possibilities I support my friends and family when necessary).

Block D - Financial situation: Change in financial situation in recent years; perceived burden of current price increases in various areas (fuel, purchase of food, costs for craftsmen, heating, electricity, costs for public transport, restaurant visits, visits to events, leisure activities, clothing purchases, costs for hobbies, costs for vacations, travel, hotels, purchase of household items such as furniture, household appliances, rental costs); changes in everyday behavior due to higher prices (I drive less, I heat my home more conservatively, I set the temperature at home lower than usual, I pay more attention to the price when shopping, I only buy food and everyday products that I really need, I buy more expensive products in installments, I make sure I use less hot water, I do without certain leisure activities, I make sure I save electricity, I now use public transport more often, I have postponed larger purchases for the time being, I do without vacation trips, I have canceled memberships and subscriptions, I meet fewer people than before, as joint activities are often associated with additional costs); characterization of the household´s financial situation (my household can usually put some money aside at the end of the month, my household cannot put any money aside at the end of the month, but the money is enough to cover running costs, my household currently has to draw on savings to cover running costs, my household uses credit (consumer credit, instalment credit, overdraft/overdraft facility); use of state benefits by persons in my own household (parental allowance, child benefit, advance maintenance payments, reductions via a social or family pass, unemployment benefit, citizen´s allowance, housing benefit/ Housing Benefit Plus, certificate of eligibility for social housing, education grant/ BAföG); reasons for not claiming the above-mentioned state benefits (because I am not entitled to the benefit, because I do not know whether I am entitled or not, because I do not know who to contact, because I do not feel comfortable applying for such benefits, because I do not want to be dependent on the state).

Block E - Expectations of politics and the welfare state: strength of state support for the household; need for further state support measures; information about state social benefits (I actively inform myself about state social benefits, i.e. I specifically look for information about them, I tend to get information about state social benefits by chance, e.g. via my normal media consumption, neither, both); level of information about state social benefits; awareness of various reforms of social benefits that have already been decided or are planned (introduction of the citizen´s income (abolition of Hartz IV), increase in unemployment benefit, introduction of a basic child benefit, increase in the minimum wage, guarantee of a minimum pension level, increase in child benefit, increase in care allowance for people in need of care, increase in housing benefit and expansion of the group of people entitled to it, increase in contributions to be paid into the pension insurance scheme); evaluation of these...

Single-family Detached Home Business Market Outlook

The global single-family detached home business market size is estimated to be valued at approximately USD 4.2 trillion in 2023 and is projected to reach USD 6.3 trillion by 2032, growing at a compound annual growth rate (CAGR) of 4.5% during the forecast period. The growth of this market is driven by a combination of factors including urbanization, increasing disposable incomes, and a growing preference for single-family living among the global population.

One of the primary growth factors for the single-family detached home market is urbanization. As cities expand and more people migrate to urban areas in search of better opportunities, the demand for housing, particularly single-family homes, has surged. This trend is particularly noticeable in developing countries where rapid urbanization is accompanied by increased economic activity, leading to a rise in disposable incomes and a higher standard of living. Consequently, individuals and families are aspiring to own single-family detached homes, which offer more space, privacy, and comfort compared to multi-family units.

Another significant driver is the increase in disposable incomes and economic growth across various regions. As economies grow, the purchasing power of individuals increases, allowing more people to invest in single-family homes. This trend is not limited to developed countries; emerging economies are also experiencing a similar pattern. The rise in middle-class populations in countries like China, India, and Brazil has led to increased investments in real estate, fueling the demand for single-family homes.

The growing preference for single-family living is another major factor contributing to the market's growth. In the wake of the COVID-19 pandemic, there has been a noticeable shift in lifestyle preferences, with many individuals prioritizing space and privacy. Single-family detached homes provide an ideal solution as they offer more living space, outdoor areas, and a sense of independence. This shift is expected to have a long-term impact on the real estate market, driving sustained demand for single-family homes.

Regional outlook for the single-family detached home market shows significant variations across different parts of the world. North America remains one of the largest markets due to its established real estate sector and high demand for single-family living. The Asia Pacific region is expected to witness the fastest growth due to rapid urbanization and economic development in countries like China and India. Europe, with its diverse real estate market, also presents substantial opportunities, particularly in countries like Germany and the UK where housing demand remains high. Latin America and the Middle East & Africa are emerging markets where increasing urbanization and economic development are expected to drive future growth.

Type Analysis

When analyzing the market by type, the single-family detached home business can be segmented into luxury homes, mid-range homes, and affordable homes. Each of these segments caters to different consumer demographics and has unique growth drivers. Luxury homes, for instance, are characterized by high-end features, premium materials, and exclusive locations. These homes are targeted towards high-net-worth individuals and are often seen as a status symbol. The demand for luxury homes is driven by factors such as rising wealth among individuals, a desire for exclusivity, and investment potential.

Mid-range homes, on the other hand, cater to the middle-income demographic and are characterized by a balance of affordability and quality. These homes are often located in suburban areas and offer essential amenities that cater to the needs of families. The demand for mid-range homes is driven by factors such as rising disposable incomes, growing middle-class populations, and the preference for family-oriented living spaces. This segment is particularly strong in developing countries where the middle class is expanding rapidly.

Affordable homes are designed to cater to low-income families and individuals. These homes are usually smaller in size and located in less expensive areas. The demand for affordable homes is driven by factors such as government housing schemes, subsidies, and the need to provide housing solutions for low-income groups. Many governments across the world are focusing on affordable housing initiatives to address the housing shortage and improve living conditions for their citizens. This segment is crucial for social stability and econ

Prospective homebuyers in Vancouver, British Columbia, and Toronto, Ontario, needed an annual income of over ******* Canadian dollars in 2023 to qualify for the average priced home. In Vancouver, this figure was approximately ******* Canadian dollars. British Columbia and Ontario, are Canada's most expensive provinces for housing. According to a January 2023 forecast by the Canadian Real Estate Association (CREA), the housing market is expected to cool down in the next two years, which is likely to improve home affordability.

This table presents income shares, thresholds, tax shares, and total counts of individual Canadian tax filers, with a focus on high income individuals (95% income threshold, 99% threshold, etc.). Income thresholds are geography-specific; for example, the number of Nova Scotians in the top 1% will be calculated as the number of taxfiling Nova Scotians whose total income exceeded the 99% income threshold of Nova Scotian tax filers. Different definitions of income are available in the table namely market, total, and after-tax income, both with and without capital gains.

Face-to-face interview: PAPI (Paper and Pencil Interview) Self-administered questionnaire: Paper