This statistic depicts the share of household income needed to be saved each year to live comfortably in retirement in the United States as of January 2017. It was found that ** percent of the interviewed workers believed that it was enough to save somewhere between ** and ** percent of the annual household income in order to live comfortably in retirement as of 2017.

According to a survey conducted in 2025, French households would have liked to have an extra amount of 507 euros in their budget in order to have a standard of living considered comfortable.

As of 2024, 21 percent of survey respondents were very confident about having enough money to live comfortably through retirement in the United States, up from three percent from the previous year. Both in 2021 and 2022, 10 percent of respondents stated no confidence in living comfortably through retirement, while in 2023 and 2024 this share of respondents rose slightly by one percent.

This statistic shows the likelihood of homeowners paying more for better neighborhood vs. living comfortably within budget in the United States in 2017. During the survey, ** percent of respondents said that they would prefer to stay comfortably within the budget by choosing to live in a neighborhood with lower quality schools and further from good job opportunities.

Share of population living in a dwelling not comfortably cool during summer time by income quintile and degree of urbanisation

This statistic shows the likelihood of homeowners paying more for better neighborhood vs. living comfortably within budget in the United States in 2017, by rent/mortgage. During the survey, ** percent of respondents with rent/mortgage over 1,000 U.S. dollars said that they would prefer to stay comfortably within the budget by choosing to live in a neighborhood with lower quality schools and further from good job opportunities.

Persons living in a dwelling not comfortably warm during winter by sex, household composition and degree of urbanisation

The European Union Statistics on Income and Living Conditions (EU-SILC) collects timely and comparable multidimensional microdata on income, poverty, social exclusion and living conditions.

The EU-SILC collection is a key instrument for providing information required by the European Semester (_[1]) and the European Pillar of Social Rights, and the main source of data for microsimulation purposes and flash estimates of income distribution and poverty rates.

AROPE remains crucial to monitor European social policies, especially to monitor the EU 2030 target on poverty and social exclusion. For more information, please consult EU social indicators.

The EU-SILC instrument provides two types of data:

• Cross-sectional data pertaining to a given time or a certain time period with variables on income, poverty, social exclusion and other living conditions.
• Longitudinal data pertaining to individual-level changes over time, observed periodically over four‐or more year rotation scheme (Annex III (2) of 2019/1700).

EU-SILC collects:

• annual variables,
• three-yearly modules,
• six-yearly modules,
• ad-hoc new policy needs modules,
• optional variables.

The variables collected are grouped by topic and detailed topic and transmitted to Eurostat in four main files (D-File, H-File, R-File and P-file).

The domain ‘Income and Living Conditions’ covers the following topics: persons at risk of poverty or social exclusion, income inequality, income distribution and monetary poverty, living conditions, material deprivation, and EU-SILC ad-hoc modules, which are structured into collections of indicators on specific topics.

In 2023, in addition to annual data, in EU-SILC were collected: the three yearly module on labour market and housing, the six yearly module on intergenerational transmission of advantages and disadvantages, housing difficulties, and the ad hoc subject on households energy efficiency.

Starting from 2021 onwards, the EU quality reports use the structure of the Single Integrated Metadata Structure (SIMS).

_{([1]) The European Semester is the European Union’s framework for the coordination and surveillance of economic and social policies.}

The retirement living furniture market, currently valued at $2339.2 million in 2025, is projected to experience steady growth, driven by several key factors. The aging global population is a significant driver, with an increasing number of individuals requiring specialized furniture designed for comfort, accessibility, and safety in their later years. Demand is fueled by the growing preference for age-in-place solutions, enabling seniors to remain comfortably in their homes for longer periods. This preference translates into a demand for adjustable furniture, supportive seating, and easy-to-navigate layouts. Technological advancements are also contributing to market growth, with innovations in ergonomic design, material science (creating more durable and easily cleanable furniture), and smart home integration making retirement living furniture increasingly appealing and functional. While economic fluctuations could potentially pose a restraint, the long-term trend points towards sustained expansion, bolstered by a rising awareness of the importance of comfortable and supportive living environments for the elderly. The market's Compound Annual Growth Rate (CAGR) of 3.6% indicates a consistent, albeit moderate, expansion over the forecast period (2025-2033). This growth is expected to be influenced by ongoing product innovation, targeted marketing strategies focusing on the unique needs of senior citizens, and a growing emphasis on creating inclusive and accessible living spaces. The competitive landscape features a mix of established players and emerging companies, each striving to cater to specific segments within the market. Competition is likely to increase the availability of diverse product offerings, fostering innovation and potentially driving down prices, making retirement living furniture more accessible to a wider consumer base. Further segmentation analysis would reveal the most lucrative product areas within this burgeoning market.

Share of population living in a dwelling not comfortably cool during summer time by income quintile and degree of urbanisation Copyright notice and free re-use of data on: https://ec.europa.eu/eurostat/about-us/policies/copyright

Of the most populous cities in the U.S., San Jose, California had the highest annual income requirement at ******* U.S. dollars annually for homeowners to have an affordable and comfortable life in 2024. This can be compared to Houston, Texas, where homeowners needed an annual income of ****** U.S. dollars in 2024.

Men and women in Japan are getting married increasingly later than previous generations. In 2024, the average age of women who married for the first time was about 29.8 years, while men were on average 31.1 years old when they first got married. Social integration of women The rising age at first marriage was partly explained by a common theory that holds the growing number of “parasite singles” accountable for the trend. The term refers to young working people aged between 28 and 40 years who decide to keep living comfortably in their parents' homes to save money. An alternative explanation is the more active participation of Japanese women in society. Increasingly more women in Japan obtain higher education degrees and focus on their career paths. With a rising income, they are financially less dependent, and marriage is no longer essential to afford the life they pursue. Delayed family planning The overall number of newly registered marriages has also declined in the past decade. The reported number of marriages was around 484,100 in 2024, representing the second consecutive year below 500,000. These developments concerning marriages have also impacted the mean age of childbearing, which has risen considerably since the 1970s.

Explore the booming Retirement Living Furniture market, driven by an aging population and demand for senior-friendly designs. Discover key insights, market size projections, growth drivers, and regional trends from 2019-2033.

In 2024, the median household income in the United States was 83,730 U.S. dollars. This reflected an increase from the previous year. Household income The 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 varied from state to state. In 2024, Massachusetts recorded the highest median household income in the country, at 113,900 U.S. dollars. On the other hand, Mississippi, recorded the lowest, at 55,980 U.S. dollars.Household income is also used to determine the poverty rate in the United States. In 2024, 10.6 percent of the U.S. population was living below the national poverty line. This was the lowest level since 2019. Similarly, the child poverty rate, which represents people under the age of 18 living in poverty, reached a three-decade low of 14.3 percent of the children. The state with the widest gap between the rich and the poor was New York, with a Gini coefficient score of 0.52 in 2024. The Gini coefficient is calculated by looking at average income rates. A score of zero would reflect perfect income equality, while a score of one indicates complete inequality.

Villages help elders stay at home in their neighborhoods. A Village is neighborhood-based nonprofit membership organization supported by volunteers. A Village makes it easier for older neighbors to keep living safely, comfortably and actively in their own homes and connected with their neighbors.Members continue to live in their homes. The can get together for parties, picnics, happy hours, and visits to local theaters, music, and art venues. Volunteers offer free services that can range from rides to and from medical appointments, prescription pickups, yard clean-ups, and simple handyman repairs, assistance with grocery shopping, changing light bulbs in ceiling fixtures, and reading to the visually impaired. Villages also help their members find useful community resources and reliable professionals and licensed vendors. Villages do not provide medical services, but can connect seniors with these services. They typically offer some services not traditionally offered by the DC Lead Agencies.The Department of Aging and Community Living has a senior service directory of agencies providing a variety of services. Call (202) 724-5622.

The European Union Statistics on Income and Living Conditions (EU-SILC) collects timely and comparable multidimensional microdata on income, poverty, social exclusion and living conditions.

The EU-SILC collection is a key instrument for providing information required by the European Semester (_[1]) and the European Pillar of Social Rights, and the main source of data for microsimulation purposes and flash estimates of income distribution and poverty rates.

AROPE remains crucial to monitor European social policies, especially to monitor the EU 2030 target on poverty and social exclusion. For more information, please consult EU social indicators.

The EU-SILC instrument provides two types of data:

• Cross-sectional data pertaining to a given time or a certain time period with variables on income, poverty, social exclusion and other living conditions.
• Longitudinal data pertaining to individual-level changes over time, observed periodically over four‐or more year rotation scheme (Annex III (2) of 2019/1700).

EU-SILC collects:

• annual variables,
• three-yearly modules,
• six-yearly modules,
• ad-hoc new policy needs modules,
• optional variables.

The variables collected are grouped by topic and detailed topic and transmitted to Eurostat in four main files (D-File, H-File, R-File and P-file).

The domain ‘Income and Living Conditions’ covers the following topics: persons at risk of poverty or social exclusion, income inequality, income distribution and monetary poverty, living conditions, material deprivation, and EU-SILC ad-hoc modules, which are structured into collections of indicators on specific topics.

In 2023, in addition to annual data, in EU-SILC were collected: the three yearly module on labour market and housing, the six yearly module on intergenerational transmission of advantages and disadvantages, housing difficulties, and the ad hoc subject on households energy efficiency.

Starting from 2021 onwards, the EU quality reports use the structure of the Single Integrated Metadata Structure (SIMS).

_{([1]) The European Semester is the European Union’s framework for the coordination and surveillance of economic and social policies.}

Persons living in a dwelling not comfortably warm during winter by sex, age and group of country of citizenship

Persons living in a dwelling not comfortably warm during winter by sex, age and risk of poverty or social exclusion situation

IĮ "Comfortable Life" financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.

The European Union Statistics on Income and Living Conditions (EU-SILC) collects timely and comparable multidimensional microdata on income, poverty, social exclusion and living conditions.

The EU-SILC collection is a key instrument for providing information required by the European Semester (_[1]) and the European Pillar of Social Rights, and the main source of data for microsimulation purposes and flash estimates of income distribution and poverty rates.

AROPE remains crucial to monitor European social policies, especially to monitor the EU 2030 target on poverty and social exclusion. For more information, please consult EU social indicators.

The EU-SILC instrument provides two types of data:

• Cross-sectional data pertaining to a given time or a certain time period with variables on income, poverty, social exclusion and other living conditions.
• Longitudinal data pertaining to individual-level changes over time, observed periodically over four‐or more year rotation scheme (Annex III (2) of 2019/1700).

EU-SILC collects:

• annual variables,
• three-yearly modules,
• six-yearly modules,
• ad-hoc new policy needs modules,
• optional variables.

The variables collected are grouped by topic and detailed topic and transmitted to Eurostat in four main files (D-File, H-File, R-File and P-file).

The domain ‘Income and Living Conditions’ covers the following topics: persons at risk of poverty or social exclusion, income inequality, income distribution and monetary poverty, living conditions, material deprivation, and EU-SILC ad-hoc modules, which are structured into collections of indicators on specific topics.

In 2023, in addition to annual data, in EU-SILC were collected: the three yearly module on labour market and housing, the six yearly module on intergenerational transmission of advantages and disadvantages, housing difficulties, and the ad hoc subject on households energy efficiency.

Starting from 2021 onwards, the EU quality reports use the structure of the Single Integrated Metadata Structure (SIMS).

_{([1]) The European Semester is the European Union’s framework for the coordination and surveillance of economic and social policies.}