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 24 percent of the interviewed workers believed that it was enough to save somewhere between 20 and 29 percent of the annual household income in order to live comfortably in retirement as of 2017.

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.

Of the most populous cities in the U.S., San Jose, California had the highest annual income requirement at 288,953 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 87,991 U.S. dollars in 2024.

In 2023, the real median household income in the state of Alabama was 60,660 U.S. dollars. The state with the highest median household income was Massachusetts, which was 106,500 U.S. dollars in 2023. The average median household income in the United States was at 80,610 U.S. dollars.

This layer shows median household income by race and by age of householder. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Median income and income source is based on income in past 12 months of survey. This layer is symbolized to show median household income. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B19013B, B19013C, B19013D, B19013E, B19013F, B19013G, B19013H, B19013I, B19049, B19053Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

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.

In 2023, just over 50 percent of Americans had an annual household income that was less than 75,000 U.S. dollars. The median household income was 80,610 U.S. dollars in 2023. Income and wealth in the United States After the economic recession in 2009, income inequality in the U.S. is more prominent across many metropolitan areas. The Northeast region is regarded as one of the wealthiest in the country. Maryland, New Jersey, and Massachusetts were among the states with the highest median household income in 2020. In terms of income by race and ethnicity, the average income of Asian households was 94,903 U.S. dollars in 2020, while the median income for Black households was around half of that figure. What is the U.S. poverty threshold? The U.S. Census Bureau annually updates its list of poverty levels. Preliminary estimates show that the average poverty threshold for a family of four people was 26,500 U.S. dollars in 2021, which is around 100 U.S. dollars less than the previous year. There were an estimated 37.9 million people in poverty across the United States in 2021, which was around 11.6 percent of the population. Approximately 19.5 percent of those in poverty were Black, while 8.2 percent were white.

The second of 20 years of International Social Survey Programme (ISSP) surveys within New Zealand by Professor Philip Gendall, Department of Marketing, Massey University. A verbose rundown on topics covered follows.Judgement on social justice and social differences in the country. Social prestige of respondents and selected occupations. Most important prerequisites for personal success in society (scale); attitude to the welfare state and social differences (scale); chances to increase personal standard of living; importance of differentiated payment; higher payment with acceptance of increased responsibility; higher payment as incentive for additional qualification of workers.Avoidability of inequality of society; increased income expectation as motive for taking up studies; good profits for entrepreneurs as best prerequisite for increase in general standard of living; insufficient solidarity of the normal population as reason for the persistence of social inequalities; estimate of average annual income of selected occupational groups and information on a justified income for the members of these occupational groups from the point of view of the respondent.Judgement on the income differences in the country; reduction of income differences, employment guarantee, guaranteed minimum income and equal opportunities for children of poorer families in university admission as government task; attitude to a reduction of government tasks for those of low income; approval of government support for unemployed; judgement on total taxation for recipients of high, middle and low income.Perceived social conflicts in the country; self-classification on a top-bottom scale; social mobility; social origins; education status, responsibility accepted, span of control, family responsibility, good work performance or hard work as most important criteria for establishing work pay; income increase or income reduction of individual income in case of a hypothetical equalization of the total income of the population; personal self-employment and occupation at start of employment.Description of current condition of social pyramid as well as assessment of the situation 30 years ago as well as in 30 years; self-classification on a social prestige scale as well as classification of selected occupations; hours worked each week; employment in private or public sector; span of control; company size; personal union membership and membership of spouse; religiousness; self-classification of social class affiliation; party preference; party inclination; residential status; self-classification on a left-right scale; regional origins.

Abstract

The MPLCS 2015 is a comprehensive study of how people in Myanmar live. It is a joint analysis conducted by a technical team from the Ministry of Planning and Finance, Government of Myanmar, and the Poverty and Equity Global Practice of the World Bank. It collects data on the occupations of people, how much income they earn, and how they use this to meet the food, housing, health, education, and other needs of their families.

The Myanmar Poverty and Living Conditions Survey has the following objectives: - Put forward trends in poverty between 2004/05, 2009/10 and 2015 - Present a measure of poverty that reflects the situation of poverty in Myanmar in 2015 at the national, urban/rural and agro-zone - Conduct analysis about the situation and nature of poverty in Myanmar that informs policy choices and strategies.

Geographic coverage

National coverage. The survey is a representative of the Union Territory, four agro-zones, and urban/rural areas.

Analysis unit

• Households
• Individuals
• Agricultural parcel and crops
• Consumption items

Universe

The survey covered only the usual household residents, excluding people living in hotels/motels/guesthouses, military camps, police camps, orphanages/homes for the aged, religious centers, boarding schools/colleges/universities, correctional facilities/prisons, hospitals, camps/hostels for workers, and homeless/other collective quarters.

Kind of data

Sample survey data [ssd]

Sampling procedure

The MPLCS sample design was developed based on the sampling frame from the April 2014 Census pre-enumeration listing data. In addition to providing statistically representative estimates at the national level, the sample was designed so that representative estimates were derived for each of four agro-ecological zones (Hills and Mountains, Dry Zone, Coastal and Delta), for the urban/rural levels overall, and specifically Yangon and surrounding area. The data are not representative at the state or region level.

The sample primary sampling units (PSUs) for this sample are the enumeration areas (EAs) defined for the 2014 Myanmar Population and Housing Census. There are 304 EAs and 3648 sample households.

A stratified multi-stage sample design is used for the MLPCS 2015. The stratum are agro--ecological zone and rural/urban. The classification of the EAs in the 2014 Myanmar Census of Population and Housing frame by urban and rural stratum was based on the administrative structure of the hierarchical geographic areas in Myanmar; all EAs in administrative areas defined as wards are considered urban, and all EAs in village tracks are classified as rural. The distribution of the households in the 2014 Myanmar Census of Population and Housing frame by region, urban and rural stratum, based on the preliminary Census data.

Sampling deviation

A total of 14 sample EAs selected for the MPLCS could not be enumerated, mostly because of security problems.

Refer to MPLCS 2014/15 Survey Conduct and Quality Control Report.

Mode of data collection

Face-to-face [f2f]

Research instrument

The MPLCS questionnaire builds from earlier household expenditure and living conditions surveys conducted in Myanmar, in particular, the Integrated Household Living Conditions Assessment (IHCLA-I, 2005 and IHLCA-II, 2010) and the Household Income and Expenditure Survey (between 1989 and 2012) and WORLD BANK's LIVING STANDARD surveys. The MPLCS brings all these previous household surveys together into a single survey and provides one comprehensive source of living conditions information.

The MPLCS 2014/2015 household questionnaire consists of 13 modules. 1. Roster 2. Education and literacy 3a. Health status 3b. Health care 4. Labor and employment 5a. International migration (current household members) 5b. Remittances (former household members and others) 6. Housing 7. Household assets/durables 8a. Household consumption in the last 7 days 8b. Non-food consumption expenditure in the last 30 days 8c. Non-food consumption expenditure in 6 and 12 months 9. Non-farm enterprises 10a. Parcel roster 10b. Inputs 10c. Labor 10d. Harvest and crop disposition 10e. Livestock 10f. Agricultural machinery and equipment 10g. Aquaculture and fisheries 11a. Loans/credit 11b. Financial inclusion 12. Food security/subjective assessment of well-being 13. Shocks and coping strategies

Sampling error estimates

Tables with calculated sampling errors and confidence intervals for the most important survey estimates, the different sources of non-sampling error presented in MPLCS 2015 Survey Conduct and Quality Control Report section 5.

Data appraisal

For detail of data quality control and measurement, see in MPLCS 2015 Survey Conduct and Quality Control Report section 3.5.

In 2024, the monthly household income per person in Brazil varied considerably across the different federal units. The Distrito Federal, where the country's federal capital is located, had the highest per capita income, at 3,444 Brazilian reals per month. This figure was more than three times that of the state of Maranhão. The national average was 2,069 reals per capita per month.

The statistic above provides information about the income level in the United States at which money won't make you happier. In 2010, a household in Hawaii needs to make about 122 thousand U.S. dollars per year to reach the happiness plateau, in which more income doesn't provide better emotional well-being. The state-by-state comparison takes into account the disparity in cost of living between the states.

In 2023, the median household income in Massachusetts amounted to 106,500 U.S. dollars. This is an increase from the previous year, when the median household income in the state was 93,550 U.S. dollars. Household median income data for the United States as a whole can be accessed here.

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.

The house price to income ratio in the U.S. increased in 2023, after falling slightly in the second half of 2022. The ratio measures the development of housing affordability and is calculated by dividing the nominal house price by the nominal disposable income per head, with 2015 set as a base year when the index amounted to 100. In the third quarter of 2024, the index score amounted to 130.3, which means that house price growth has outpaced income growth by over 30 percent since 2015.Stagnant wages Average annual real wages steadily rose until 2014 but have since remained stagnant. However, single-family house prices have continued to increase. This disparity has resulted in decreased housing affordability. Average wages needed to buy a home The share of wages needed to buy a median priced home in the United States has been steadily increasing since 2012. This trend is reflected in the house price to income ratio as well. The availability of affordable housing will become more important, if the price to income ratio continues to develop in this way.

In 2023, 17.9 percent of Black people living in the United States were living below the poverty line, compared to 7.7 percent of white people. That year, the total poverty rate in the U.S. across all races and ethnicities was 11.1 percent. Poverty in the United States Single people in the United States making less than 12,880 U.S. dollars a year and families of four making less than 26,500 U.S. dollars a year are considered to be below the poverty line. Women and children are more likely to suffer from poverty, due to women staying home more often than men to take care of children, and women suffering from the gender wage gap. Not only are women and children more likely to be affected, racial minorities are as well due to the discrimination they face. Poverty data Despite being one of the wealthiest nations in the world, the United States had the third highest poverty rate out of all OECD countries in 2019. However, the United States' poverty rate has been fluctuating since 1990, but has been decreasing since 2014. The average median household income in the U.S. has remained somewhat consistent since 1990, but has recently increased since 2014 until a slight decrease in 2020, potentially due to the pandemic. The state that had the highest number of people living below the poverty line in 2020 was California.

This statistic shows the most affordable metro areas in the Unites States in 2017, by share of income spent on living expenses. In 2017, Omaha was the second most affordable metro area because 25.18 percent of the median blending annual household income was spent on the average cost of owning or renting a home as well the average cost of utilities and taxes.

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.

In December 2024, the personal saving rate in the United States amounted to 3.8 percent. That was slightly lower figure than a year earlier. The personal saving rate is calculated as the ratio of personal savings to disposable personal income. Within the topic of personal savings in the U.S., there are different goals and reasons for saving. What are personal savings? Saving refers to strategies of accumulating capital for future use by either not spending a part of one’s income or cutting down on certain costs. Saved money may be preserved as cash, put on a deposit account, or invested in various financial instruments. Investing usually incorporates some level of risk which means that part of the invested money can be gone. An example of a relatively safe investment would be saving bonds, such as the debt securities issued by the U.S. Department of the Treasury. Saving trends in the U.S. and abroad Looking at the personal saving rate in the United States throughout the past decades, it can be observed that savings had been decreasing until the mid-2000s, and they increased after the 2008 financial crisis. Still, the largest savings rates were reached in 2020 and 2021. The reason for that increase in the savings rate that year might be related to the measures to contain the COVID-19 pandemic. The value of personal savings in the United Kingdom has also followed a similar trend. Although events like the COVID-19 pandemic may have affect many countries in a similar way, the ability to save, as well as the average savings as a share of personal income across countries can vary significantly depending on multiple factors affecting each territory.

In November 2024, the unadjusted consumer price index (CPI) of all items for urban consumers in the United States amounted to about 315.49. The data represents U.S. city averages. The base period was 1982-84=100. The CPI is defined by the United States Bureau of Labor Statistics as “a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services”. The annual consumer price index for urban consumers in the U.S. can be accessed here. Consumer Price Index The Consumer Price Index (CPI) began in 1919 under the Bureau of Labor Statistics and is published every month. The CPI for all urban consumers includes urban households in Metropolitan Statistical Areas and regions with over 2,500 inhabitants, as well as non-farm consumers living in rural regions. This index was established in 1978 and includes about 80 percent of the U.S. population. The monthly CPI of urban consumers in the United States increased from 292.3 in May 2022 to 304.13 in 2023. Inflation tends not to impact everyone equally for a variety of reasons, including geography - CPI often differs between regions, with a high of 287.49 in the Western region as of 2021. There are also disparities in inflation between income quartiles, in which inflation is generally felt more heavily by lower income households. The annual CPI in the United States has increased steadily over the past two decades, from 140.3 in 1992 to 292.56 in 2022. A forecast of the CPI expects this positive trend to continue, reaching 325.6 by 2027. As of March 2023, the CPI of the nation’s education had increased by 3.5 percent. Further, in the same month costs of recreation, rent, housing, medical care, and food and beverages, gasoline, and transportation increased. Comparatively, the CPI in Hong Kong reached 103.3 in 2022.

In the first quarter of 2024, almost two-thirds percent of the total wealth in the United States was owned by the top 10 percent of earners. In comparison, the lowest 50 percent of earners only owned 2.5 percent of the total wealth. Income inequality in the U.S. Despite the idea that the United States is a country where hard work and pulling yourself up by your bootstraps will inevitably lead to success, this is often not the case. In 2023, 7.4 percent of U.S. households had an annual income under 15,000 U.S. dollars. With such a small percentage of people in the United States owning such a vast majority of the country’s wealth, the gap between the rich and poor in America remains stark. The top one percent The United States follows closely behind China as the country with the most billionaires in the world. Elon Musk alone held around 219 billion U.S. dollars in 2022. Over the past 50 years, the CEO-to-worker compensation ratio has exploded, causing the gap between rich and poor to grow, with some economists theorizing that this gap is the largest it has been since right before the Great Depression.