By 2030, the middle-class population in Asia-Pacific is expected to increase from 1.38 billion people in 2015 to 3.49 billion people. In comparison, the middle-class population of sub-Saharan Africa is expected to increase from 114 million in 2015 to 212 million in 2030.

Worldwide wealth

While the middle-class has been on the rise, there is still a huge disparity in global wealth and income. The United States had the highest number of individuals belonging to the top one percent of wealth holders, and the value of global wealth is only expected to increase over the coming years. Around 57 percent of the world’s population had assets valued at less than 10,000 U.S. dollars; while less than one percent had assets of more than million U.S. dollars. Asia had the highest percentage of investable assets in the world in 2018, whereas Oceania had the highest percent of non-investable assets.

The middle-class

The middle class is the group of people whose income falls in the middle of the scale. China accounted for over half of the global population for middle-class wealth in 2017. In the United States, the debate about the middle class “disappearing” has been a popular topic due to the increase in wealth to the top billionaires in the nation. Due to this, there have been arguments to increase taxes on the rich to help support the middle-class.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Abingdon. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Abingdon. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Abingdon, householders within the 45 to 64 years age group have the highest median household income at $78,796, followed by those in the 25 to 44 years age group with an income of $53,368. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $44,755. Notably, householders within the under 25 years age group, had the lowest median household income at $24,952.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

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 Abingdon median household income by age. You can refer the same here

This statistic shows the median household income in the United States from 1970 to 2020, by income tier. In 2020, the median household income for the middle class stood at 90,131 U.S. dollars, which was approximately a 50 percent increase from 1970. However, the median income of upper income households in the U.S. increased by almost 70 percent compared to 1970.

Graph and download economic data for Real Median Personal Income in the United States (MEPAINUSA672N) from 1974 to 2023 about personal income, personal, median, income, real, and USA.

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 the mean household income for each of the five quintiles in Minnesota, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 21,058, while the mean income for the highest quintile (20% of households with the highest income) is 282,691. This indicates that the top earners earn 13 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 497,204, which is 175.88% higher compared to the highest quintile, and 2361.12% higher compared to the lowest quintile.

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:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

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 Minnesota median household income. You can refer the same here

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Belleville, IL, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 12,987, while the mean income for the highest quintile (20% of households with the highest income) is 185,616. This indicates that the top earners earn 14 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 313,719, which is 169.02% higher compared to the highest quintile, and 2415.64% higher compared to the lowest quintile.

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:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

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 Belleville median household income. You can refer the same here

Income statistics by economic family type and income source, annual.

In 2023, about 26.9 percent of Asian private households in the U.S. had an annual income of 200,000 U.S. dollars and more. Comparatively, around 13.9 percent of Black households had an annual income under 15,000 U.S. dollars.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Medina, WA, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 51,500, while the mean income for the highest quintile (20% of households with the highest income) is 1,292,535. This indicates that the top earners earn 25 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 2,002,962, which is 154.96% higher compared to the highest quintile, and 3889.25% higher compared to the lowest quintile.

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:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

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 Medina median household income. You can refer the same here

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Haverhill, MA, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 19,574, while the mean income for the highest quintile (20% of households with the highest income) is 247,606. This indicates that the top earners earn 13 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 378,319, which is 152.79% higher compared to the highest quintile, and 1932.76% higher compared to the lowest quintile.

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:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

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 Haverhill median household income. You can refer the same here

Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.

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 the mean household income for each of the five quintiles in Fresno, CA, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 12,405, while the mean income for the highest quintile (20% of households with the highest income) is 231,830. This indicates that the top earners earn 19 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 408,144, which is 176.05% higher compared to the highest quintile, and 3290.16% higher compared to the lowest quintile.

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:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

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 Fresno median household income. You can refer the same here

In February 2025, employees in the United Kingdom were earning a median pay of 2,465 British pounds per month, compared with 2,474 in the previous month.

The low and middle income countries opioid substitution therapy market is slated to exhibit USD 864.8 million in 2025. The industry is poised to showcase 7.5% CAGR from 2025 to 2035 and reach USD 1,742.9 million by 2035.

Country-wise Analysis

According to Cognitive Market Research, the global Single Beds market size will be USD 54182.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 6.50% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 21672.88 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.0% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 16254.66 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 12461.91 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.5% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 2709.11 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.9% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 1083.64 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.2% from 2024 to 2031.
The low category is the fastest increasing segment in the Single Beds industry

Market Dynamics of Single Beds Market

Key Drivers for Single Beds Market

Rising disposable incomes among the middle class

Increasing middle-class disposable incomes translate to a wider market for single beds, where consumers can afford more expenditure on quality home furnishings. Generally, an increasing middle class means more homes benefitting from increased financial flexibility, and thus, comfort and aesthetics are regarded as essential in homes. It is also part of a demographic shift that increases demand for stylish and functionally designed single beds in a quest to personalize and make living environments more comfortable. Better disposable incomes mean that consumers are ready to try more brands and designs, including premium and innovative designs. As this trend continues to lift sales for single beds, it encourages manufacturers to improvise even more on product offerings catering to the growing preferences of middle-class consumers. For instance, According to their most recent financial reports, Doimo City Line had a 15% increase in sales over the previous year, thanks largely to the increased demand for fashionable and useful furniture among middle-income families.

Increasing urbanization and smaller living spaces

This growth in the food service industry is likely to benefit the Single Beds market. Restaurants, cafés, and food chains have been increasingly heading toward becoming green, which has resulted in increasing demand for substitute products like Single Bedss. After all, they are made of naturally degradable materials that reduce environmental impact compared with traditional plastic cups. Since people are becoming increasingly sensitive to environmental issues, they tend to reach out to more eco-friendly products. With shifting consumer trends, government regulations for sustainability, and increasing awareness regarding the impact of food services on plastic waste, the market growth of Single beds—being the required alternative—continues to show promise.

Restraint Factor for the Single Beds Market

Competition from Alternative Packaging Materials, such as Plastics and Styrofoam, will Limit Market Growth

Increasing raw material prices restrict the market growth in the single bed market as these increase the cost of production. Some of the major materials, metal and upholstery fabric, may have volatile fluctuations with changing supply chains, altered demand, and economic situations. Manufacturers may have no choice but to pass increased raw material costs on to consumers in the form of higher prices. Demand will probably suffer as more price-conscious prospective buyers will look for more attractive alternatives. Moreover, a lack of predictability poses budgeting and planning-ahead challenges for manufacturers. It makes it very hard to maintain consistent production with reliable responses to market demands.

Impact of Covid-19 on the Single Beds Market

The Covid-19 pandemic actually affected the single beds market, resulting in increased demand for home furnishings as people spent more time at home. With increasing remote work and even online learning, consumers are concentrating on comfort and function in the l...

Graph and download economic data for Median Household Income in Wisconsin (MEHOINUSWIA646N) from 1984 to 2023 about WI, households, median, income, and USA.

Key information about Argentina Household Income per Capita

• Argentina Annual Household Income per Capita reached 4,522.736 USD in Dec 2023, compared with the previous value of 4,354.647 USD in Dec 2022.
• Argentina Annual Household Income per Capita data is updated yearly, available from Dec 2004 to Dec 2023, with an averaged value of 3,818.417 USD.
• The data reached an all-time high of 5,915.943 USD in Dec 2017 and a record low of 1,383.333 USD in Dec 2004.
• In the latest reports, Retail Sales of Argentina dropped 13.777 % YoY in Jan 2024.

Asia Pacific Women's Sportswear Market will be USD 9925.54 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.3% from 2024 to 2031. Rising disposable incomes, urbanization, and a growing emphasis on health and fitness among the burgeoning middle class drive the region's growth. It is expected to aid the sales to USD 14833.9 million by 2031