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.

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.

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.

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.

Asian households measured the highest median household income among racial and ethnic groups in the United States. In 2024, Asian household incomes reached a median of 121,700 U.S. dollars. On the other hand, Black households had the lowest median income of 56,020 U.S. dollars. Overall, median household incomes in the United States stood at 83,730 U.S. dollars that year.Asian and Caucasian (white not Hispanic) households had relatively high median incomes, while the median income of Hispanic, African American, American Indian, and Alaskan Native households all came in lower than the national median. A number of related statistics illustrate further the current state of racial inequality in the United States. Unemployment is highest among Black or African American individuals in the U.S. nearing nine percent unemployed, according to the Bureau of Labor Statistics in 2024. Hispanic individuals (of any race) were most likely to go without health insurance as of 2024.

The median income in 2023 was at 56,490 U.S. dollars for Black households. In 1990, the median income among Black households was 38,360 U.S. dollars (In 2023 U.S. dollars).

In the United States, the median income in 2023 was at 112,800 U.S. dollars for Asian households. This is a large increase from 2002 when the median income for Asian households was 84,770 U.S. dollars (in 2023 U.S. dollars).

In the United States, the median income in 2023 was at 65,540 U.S. dollars for Hispanic households. This is a large increase from 1990 when the median income was 47,600 U.S. dollars for Hispanic households (in 2023 U.S. dollars).

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.

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.}

Comprehensive demographic dataset for Lakewood Ranch, Sarasota, FL, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

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.}

Abstract

The Household Budget Survey has been regularly conducted since July 1995 by Statistics Estonia (formerly known as the Statistical Office of Estonia).

The goals of Estonia Household Budget Survey are: to get information about the economic situation of households; to calculate indicators reflecting socio-economic development of the society (standards of living, cost of living, inequality, poverty, etc.); to project socio-political measures and estimate their effectiveness.

In addition to income and expenditure, the survey provides information about the housing conditions of households, availability of durable goods and additional sources of income. It was also surveyed how the households estimated their economic possibilities and how large income the households would like to receive in order to manage comfortably without excessive luxury.

The methodology of the survey, which was worked out by the scientists of the Family Laboratory and the Institute of Mathematical Statistics of Tartu University, is close to the methodology of surveys conducted in other European countries. Population of Household Budget Survey is all Estonian non-institutional households.

Geographic coverage

National

Analysis unit

• Households,
• Individuals.

Universe

Population of Household Budget Survey is all Estonian non-institutional households. Inhabitants of the nursing homes, prisons, boarding schools and monasteries do not belong to the population of HBS.

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Research instrument

The following survey instruments are used in the study:

1) Household Picture (Household Picture - Changes) filled in by the interviewer at the first meeting with the household. At the second and third visit to the household the interviewer fills in the "Household Picture - Changes", where changes in the household which have taken place during three months are recorded.

Household Picture contains general data about the size and composition of the household (number of members, age, gender, relationship to the head of the household, nationality, educational level, ability to work, relation to work, area of occupation, form of ownership of enterprise, social group and group of occupation of household members).

Part A of the Household Picture contains data about the economic situation of the household: housing conditions, estimation of the sufficiency of the household's income, possibilities of using free services, use of land, purchasing power of the household, ownership of technical items (durable goods) and desirable income needed in order to manage comfortably without luxury.

2) The diary book of food expenditure contains data about the food expenditure of the household during half a month (half of the sample fills in the diary in the first half of the month - from 1st to 15th day - and half of the sample does it in the second half of the month - from 16th to 30th (31st) day of the month). Eating out and the consumption of self-produced or free food products are registered as well.

3) The diary book of income, taxes and expenditure contains data about monetary and non-monetary income of the surveyed month, taxes paid by the household and goods and services bought by the household. The separate parts in the diary are for recording the expenditure on construction and renovation activities and expenditure related to the household's economic and production activities and lastly expenditure on the investment of money and other transactions (depositing, borrowing, lending of money, etc).

The Community Credit research project explores pathways for trusted collaboration between credit unions and the communities they serve. To understand the experiences of people historically underserved by the consumer financial services industry, we focused in particular on the lived experience of low-income residents in Southern California. As part of a larger, mixed-methods study, in 2022 we conducted 30 semi-structured interviews exploring people’s everyday financial practices and their attitudes toward consumer financial services providers. This data set contains the transcripts from the interviews after excluding any personally identifying data. All study materials and procedures were approved by the University of California, Irvine Office of Human Research Protections and the Institutional Review Board (protocol ID 20216839). This material is based upon work supported by the National Science Foundation under Grant No. 2137567. Any opinions, findings, and conclusions or recommendati..., Interview participants were recruited through the project’s other data collection methods, including community listening sessions, photovoice workshops, and a large-scale survey. Participants were eligible to complete an interview if they live in Orange County or Los Angeles County, are older than 18, and have a combined household income of less than $100,000. Although the interviews are focused on participants’ individual experiences, some participants also speak to their experience working for local nonprofits involved in advocating for financially marginalized people. Interviews were conducted over the telephone or via the Zoom platform. Every interview began with obtaining informed consent and permission to record. The interviews followed a 10-question script (included in the Question Guide file), although the order of the questions and the depth in which each was discussed varied organically based on the flow of conversation and the degree of detail participants were comfortable wi..., Researchers conducting the interviews are identified as “Interviewer†within the transcripts; research participants are identified as “Participant.†Each speaker tag is accompanied by a time stamp. Interviews are labeled #1–30 and compiled into a single file to allow for global searches of the data. Transcripts from potential participants who were unable to complete the interview questions have been removed., 1. Title of Dataset

Data from: Community Credit Interviews on Trust in Consumer Financial Services

1. Author Information

Bill Maurer University of California, Irvine

*Corresponding author

Melissa Wrapp University of California, Irvine

Ellen Kladky University of California, Irvine

1. Description of the data and file structure

The Community Credit research project explores pathways for trusted collaboration between credit unions and the communities they serve. To understand the experiences of people historically underserved by the consumer financial services industry, we focused in particular on the lived experience of low-income residents in Southern California. As part of a larger, mixed-methods study, in 2022 we conducted 30 semi-structured interviews exploring peoples everyday financial practices and their attitudes toward consumer financial services providers. This data set contains the transcripts from the interviews after excluding any personally identifying data.

Direc...

Abstract

The CSES is a household survey with questions to households and the household members. In the household questionnaire there are a number of modules with questions relating to the living conditions, e.g. housing conditions, education, health, expenditure/income and labour force. It is designed to provide information on social and economic conditions of households for policy studies on poverty, household production and final consumption for the National Accounts and weights for the CPI.

The main objective of the survey is to collect statistical information about living standards of the population and the extent of poverty. Essential areas as household production and cash income, household level and structure of consumption including poverty and nutrition, education and access to schooling, health and access to medical care, transport and communication, housing and amenities and family and social relations. For recording expenditure, consumption and income the Diary Method was applied for the first time. The survey also included a Time Use Form detailing activities of household members during a 24-hour period.

Another main objective of the survey is also to collect accurate statistical information about living standards of the population and the extent of poverty as an essential instrument to assist the government in diagnosing the problems and designing effective policies for reducing poverty, and in evaluating the progress of poverty reduction which are the main priorities in the "Rectangular Strategy" of the Royal Government of Cambodia.

Geographic coverage

National

Analysis unit

• Households
• Individuals
• Villages/ Communities

Kind of data

Sample survey data [ssd]

Sampling procedure

The Cambodia Socio-Economic Survey 2003-04 (CSES) is conducted in a nationwide representative sample of 15,000 households within 900 sampling units (villages). It is divided into 15 monthly representative samples of 1000 households in 60 villages.

The sampling design and implementation was made in March 2003. A three-stage sample design was devised. Since NIS already had a master sample based on the Population Census 1998, consisting of 600 villages, it was used. But in order to reach the preferred number of 900 villages, the sample was extended to include an additional 300 villages.

In the first stage, a sample of villages was selected in the head office. The villages were initially stratified into 45 strata (province*urban/rural). The villages were selected using systematic sampling with probabilities proportionate to size (PPS). The size measures used for the selection were number of households in the village according the 1998 Census. The resulting sample thus consisted of 900 villages, of which 600 are in rural areas and 300 in urban areas.

In the second stage one Census Enumeration Area (EA or alternatively PSU) was selected randomly also in the head office. At the beginning of the fieldwork, all households in the selected EA were listed using a household listing form, and following internationally recommended procedures. A systematic sample of households was then drawn in a third stage. The third stage sample was 20 households in rural areas and 10 households in the urban areas.

Design work The work on sample design was carried out in the following areas:

• Estimation of sampling errors and design effects in the CSES 1999
• Calculation of optimal sample size within primary sampling units
• Sample size and sample allocation for CSES 2003

The work was done in a group of NIS staff in the form of expert assisted hands-on training in sampling design and calculation of sampling errors.

In previous surveys PSUs have been villages. It was decided to use village as PSU also for the CSES 2004 mainly because the communes were considered too large (and too few) to serve efficiently as PSUs. Another factor weighing in favor of villages was the fact that there already exists a master sample of villages at NIS.

The master sample consists of 600 villages (88 urban and 512 rural villages). The selection of villages was made with PPS sampling, hence facilitating an approximately self-weighing design with equal workloads in the villages. It was discussed whether a further stratification on 3-4 crude income-level strata should be done in urban Phnom Penh in order to secure a good spread of the sample over different income levels. It was decided not to do such stratification. Phnom Penh has a large sample (90 villages) selected with systematic sampling over a geographically ordered sample frame; this will in itself secure a reasonably good spread of PSUs.

The master sample is allocated over the strata proportionally to the total number of households in the strata. A problem with the master sample is that due to the proportional allocation the urban sample is too small to provide for good estimates in the urban domain. It was therefore decided to expand the sample to include 600 rural villages and 300 urban villages.

Secondary Sampling Units (SSU) The 600 villages in the master sample are divided in small segments containing approximately ten households each by using census enumeration area maps. As a consequence the boundaries of the segments would be difficult to identify in the field. There would be a risk that housing units constructed after the census will be missed when households are listed within segments during the fieldwork. It was therefore decided not to use the segments in the second stage sampling. The available options are in this situation either (a) to select households directly on stage in the village or (b) to use the enumeration areas as secondary sampling units. Selecting households directly would require a listing of all households in the village prior to the fieldwork. Such a listing would become time-consuming in large villages. It was therefore decided that enumeration areas would be used as SSUs, and that one enumeration area is selected within each sampled village.

Implementation

Villages were selected with a systematic PPS procedure within each stratum. For each sampled village one census enumeration area (EA) was selected. As the enumeration areas are roughly of the same size, the selection was done with equal probability sampling.

Ten (10) households were selected in each sampled village in the CSES 99. Calculations indicated that this sample size was close to optimum. Since the optimum is rather flat, the loss in efficiency from sample sizes of 12-15 is fairly small.

From a purely sampling efficiency point of view, a larger sample than 15 households per village should not be taken. However, factors relating to interviewers' security and well-being weighed in favor of having two interviewers per village in the rural areas. A workload of 10 households between the two interviewers in the village was considered too small. A workload of 15-20 households would be reasonable. All things taken together resulted in a sample of 10 households in urban areas (with one interviewer per village) and 20 households in rural areas.

The resulting sample consisted of 300 urban PSUs and 600 rural PSUs. From the urban PSUs 10 households were selected while 20 households were selected from rural PSUs. The sample thus contained 15000 households to be interviewed during 15 fieldwork months with 1000 different households each month.

Mode of data collection

Face-to-face [f2f]

Research instrument

Five different questionnaires or forms were used in the survey: Form 1: Household listing sheets to be used in the sampling procedure in the enumeration areas.

Form 2: Village questionnaire answered by the village leader about economy and infrastructure, crop production, health, education, retail prices and sales prices of agriculture, employment and wages, and recruitment of children for work outside the village.

Form 3: Household questionnaire with questions for each household member, including modules on migration, education and literacy, housing conditions, crop production, household liabilities, durable goods, construction activities, nutrition, fertility and child care, child feeding and vaccination, health of children, mortality, current economic activity, health and illness, smoking, HIV/AIDS awareness, and victimization.

Form 4: Diary form on daily household expenditure and income

Form 5: Time use form detailing activities of household members during one 24-hour period.

Questionnaire Design

The questionnaire is one of the first items in a strategy for quality control in data collection through surveys. Any piece of information to be collected must be formulated as a question so that all interviewers can be trained to read the questions in the same way. The questions must be formulated in such a way that all interviewers feel comfortable reading the questions aloud and that all respondents understand the questions in the same way. The layout of the questionnaire must be done so that the interviewer immediately understands how the respondent's answer should be recorded. A lot of work is normally needed to meet these requirements that are built into the process of communication in the interview situation. This is the kind of work in which final perfection is elusive and further improvements can always be made.

The initial work on questionnaire design resulted in a first draft prepared by NIS in early 2003. With expert assistance from Statistics Sweden in March the same year, a systematic walk-through question by question was done. A number of essential problems to be solved were then identified while errors or minor problems were attended to at once. At the end of the exercise some issues remained that were discussed at a meeting with users and

U.S Aging In Place Renovation Service Market size was valued at USD 5,265.51 Million in 2024 and is projected to reach USD 9.209.30 Million by 2032, growing at a CAGR of 6.92% from 2026 to 2032.

U.S Aging In Place Renovation Service Market Overview

The market for aging-in-place renovation services is witnessing a shift toward integrating universal design principles with aesthetically appealing home upgrades. Traditionally, home modifications for seniors prioritized functionality over style, but modern solutions now blend safety features with contemporary design. This shift caters to a growing preference for accessible yet visually appealing living spaces, ensuring that homes remain both comfortable and accommodating as individuals age. Homeowners, particularly baby boomers, are increasingly rejecting clinical-looking modifications in favor of well-designed environments that seamlessly adapt to changing needs, reflecting broader cultural attitudes toward aging.

According to a recent study, Colombia had the lowest monthly cost of living in Latin America with 546 U.S. dollars needed for basic living. In contrast, four countries had a cost of living above one thousand dollars, Costa Rica, Chile, Panama and Uruguay. In 2022, the highest minimum wage in the region was recorded by Ecuador with 425 dollars per month.

Can Latin Americans survive on a minimum wage? Even if most countries in Latin America have instated laws to guarantee citizens a basic income, these minimum standards are often not enough to meet household needs. For instance, it was estimated that almost 22 million people in Mexico lacked basic housing services. Salary levels also vary greatly among Latin American economies. In 2022, the average net monthly salary in Brazil was lower than Ecuador's minimum wage.

What can a minimum wage afford in Latin America? Latin American real wages have generally risen in the past decade. However, consumers in this region still struggle to afford non-basic goods, such as tech products. Recent estimates reveal that, in order to buy an iPhone, Brazilian residents would have to work more than two months to be able to pay for it. A gaming console, on the other hand, could easily cost a Latin American worker several minimum wages.

Trend study of changes in general opinions and attitudes of ( parts of ) the Dutch population / willingness to offer income for a shorter working week / job satisfaction, worries, future/ satisfaction with education / satisfaction with present life / importance of and satisfaction with work and leisure / media exposure concerning news and politics / average time of watching tv / subscription to a national newspaper / idea of what welfare means / present welfare in the Netherlands and in own family / opinion about borrowing money from a bank and about payment by instalments / satisfaction with present society in the Netherlands / government should have more or less money to finance public facilities / measures of government concerning facilities for pupils who have difficulties making their homework at home/ study grants for children from low income groups / good and cheap housing / minimum wages / free education until 18 / pollution / compulsory education until 18 / subsidies for art / day nurseries for children from working mothers / various taxes / government spendings should increase or decrease / personal life worries/ fears/ enough leisure/ feelings of loneliness and senselessness / measures for commercial organizations making losses / firing personnel/ firing management/ cutting down wages/ state aid / satisfaction with housing/ health/ happiness/ marriage/ education/ income/ social securities / opinions about maximum wages/ abuse of social benefits/ income differences/ property differences/ participation of labourers in management / not being entitled to financial aid/ work with future/ as much education as wanted/ comfortable housing situation / one has to be free to demonstrate/ criticize royal family/ strike for wages/ refuse military service/ squat buildings for a just cause/ freedom of speech and press / view of life / religion and political and social organizations / most important things in life / society transparency/ information about duties and rights/ just treatment / most important problems in society / energy problem and measures for economization / participation in educational system and in local and provincial politics / opinions on differences in social status/ emancipation of labour class/ abortion/ emancipation of women/ work, leisure/ forced measures of government concerning energy economization/ taxes/ ways of protesting / type of person that should get a house first, should be fired first, should be promoted first: married, unmarried/ foreigner, Dutch/ young, old/ man, woman/ someone from Surinam or Holland/ white, non-white/ big family, small family / attitudes on man and society / political interest, preference, participation / membership of union / working mothers / euthanasia / non-whites as neighbours / politics mainly a man's business / again personal feelings and behaviour worries, happiness, temper, nightmares, coping with problems, decision making/ boasting, being polite, gossiping, talking about something without knowledge, opinions about other people, answering personal letters, declaring goods at border. Background variables: basic characteristics/ place of birth/ residence/ household characteristics/ occupation/employment/ income/capital assets/ education/ social class/ politics/ religion/ readership, mass media, and 'cultural' exposure/ organizational membership.The data- and documentation files of this dataset can be downloaded via the option Data Files.

In 2025, households in California needed an hourly wage of over 50 U.S. dollars to afford the rent of a two-bedroom apartment. Hawaii had the second-least affordable two-bedroom apartments, as a household would have to earn at least around 49 U.S. dollars per hour in order to afford rent payments. These figures are considerably higher than the average minimum wage in place in many states. There was no state in which a minimum wageworker could afford rent for the average two-bedroom apartment, if they worked 40 hours a week. Where are the least affordable counties and metros? The least affordable rents were predominately in Californian counties and metropolitan areas in 2025. District of Columbia has the highest minimum wages in the country, which stood at 17.5 U.S. dollars per hour as of January 2025. Thus, the affordability of two-bedroom apartments highlights how disproportionately high housing costs are in the state.

The Consumer Sentiment Index in the United States stood at 51 in November 2025. This reflected a drop of 2.6 point from the previous survey. Furthermore, this was its lowest level measured since June 2022. The index is normalized to a value of 100 in December 1964 and based on a monthly survey of consumers, conducted in the continental United States. It consists of about 50 core questions which cover consumers' assessments of their personal financial situation, their buying attitudes and overall economic conditions.