Graph and download economic data for Real Median Family Income in the United States (MEFAINUSA672N) from 1953 to 2023 about family, median, income, real, and USA.

This data collection provides selected economic, social, demographic, and political information for 48 states of the United States during the 1950s and 1960s. Variables describe population characteristics, such as the number of adults aged 65 and over, the number of dentists and physicians, the number of patients in mental hospitals, the death rates of white and non-white infants under one year of age per 1,000 live births, respectively, the number of recipients of public assistance such as Aid to Families with Dependent Children (AFDC), elementary and secondary school enrollment, enrollment in vocational programs, the total number of students in higher education, the number of those conferred with M.A. and Ph.D. degrees, and the number of workers in research experiment stations. Other variables provide economic information, such as personal income per capita, average monthly payment per recipient of some public assistance programs, average salary per month for full-time state and local employees, state and local government revenues and expenditures, and various intergovernmental revenues from the federal government for certain services. Additional variables record crime statistics, such as the number of robbery, burglary, larceny, auto theft, assault, rape, and murder offenses per 100,000 of the population. There are also variables that give information on each state's topography, such as the acreage of state parks, total farm acreage, municipal road mileage, and total unsurfaced road mileage.

In 2022, it was estimated that the CEO-to-worker compensation ratio was 344.3 in the United States. This indicates that, on average, CEOs received more than 344 times the annual average salary of production and nonsupervisory workers in the key industry of their firm.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Sistersville, WV, 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 1,965, while the mean income for the highest quintile (20% of households with the highest income) is 134,113. This indicates that the top earners earn 68 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 203,574, which is 151.79% higher compared to the highest quintile, and 10360% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 2022 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 Sistersville median household income. You can refer the same here

This statistic represents the hourly earnings in the U.S. manufacturing sector between May 2006 and May 2021. On average, employees in the manufacturing sector in the United States had hourly earnings of ***** U.S. dollars in May 2021.

Graph and download economic data for Income Before Taxes: Wages and Salaries by Generation: Birth Year from 1965 to 1980 (CXU900000LB1603M) from 2016 to 2020 about birth, salaries, tax, wages, income, and USA.

The study constructs new series of nominal wages in industry and crafts as well as a new consumer goods price index for the period 1850-1889; the coefficient of the two series gives the real wage. While such information was collected and published by government agencies from the late 1880s onwards, the decades before are part of the pre-statistical age. After all, information is available from municipal authorities, from branches of territorial state authorities and from individual companies. For the construction of a new nominal wage series, the current study refer to Kuczynski´s material (1961/62), supplements it with information from individual studies of the past 50 years, and constructs wage indices for the heavy ironware, machine construction, mining, printing, and municipal construction industries on this basis by means of unbalanced panel regression with fixed effects. Of the 38 individual wage series on which these sector indices are based, 27 come from Kuczynski, the remainder from more recent studies. Wages in the textile sector are represented by those in the cotton industry. The study uses the wage series published by Kirchhain (1977). Weighted according to employment figures, all these sector-specific series (excluding miners´ wages) are aggregated into a Fisher index of nominal wages in industry and crafts. Both this index and the indices at sector level are linked in 1888/89 with the series by Hoffmann (1965); the resulting values denote annual earnings in Marks. The sector indices differ little from those of Kuczynski and Hoffmann despite the expansion of the database and the different methodology of index construction, but the aggregated index shows a stronger growth rate than that of Kuczynski; the latter index is obviously erroneous (Pfister 2018, 576). The consumer goods price index is based on five sub-indices for (1) food, (2) beverages and luxury foods, (3) rent, (4) furniture, household goods and heating, and (5) clothing. The sub-indices for food and rent are new, the other three are from Hoffmann (1965). Weights are determined for 1848/49 and 1889 on the basis of research literature, values in between are interpolated linearly. Both the sub-index of food prices and the overall index are constructed as Fisher indices. Both the rental index and the food prices rise more strongly in the long term than the two corresponding Hoffmann indices (Pfister 2018, 578 and 582). Hoffmann constructs the rental price index only indirectly by multiplying the estimated building capital by an assumed interest rate. The rent index of the current study is based on data from three major cities. Only if it is assumed that large cities are completely unrepresentative for the entire real estate market should Hoffmann´s series still be considered. In the case of food prices, the comparatively stronger long-term increase - compared to previous research - results from the higher weight of prices from the southern parts of the country far from the sea in the new sub-index. Here, the price dampening effect of growing imports of American grain had a weaker effect than in the coastal regions in the north. Thus, one of the main findings of the study is that the assessment of the development of the living standards of urban workers from the 1850s to 1880s strongly depends on how one determines the effect of the first wave of modern globalization on the German price structure. The greater consideration given in this study to food prices in areas distant from the sea results in a more pessimistic view of the development of real wages during this period than has been the case with some previous research. To the data: 1. individual wage series (table set A.01) This set of tables contains wage series from six branches at the level of regions, cities, individual enterprises and in one case (cotton industry) an entire branch. Only series containing data for at least 15 years were taken into account. In detail, the series are the following:Heavy IronwareBochum 1869-1889: Average annual income of the workers of the Bochumer Verein (steelworks) in Mark; Däbritz (1934, Annex Table 4).Essen 1848-1889: Average annual income of the workers of the Krupp works in Mark; Kuczynksi (1961-62, vol. I, 377, vol. II, 227, vol. III, 426).Ruhr 1855-1889: Average annual income of the workers at the blast furnaces in the Ruhr district in Mark; banks (2000, Table A59).Saar 1869-1889: Day wage of workers at the blast furnaces of the Burbach Ironworks in Mark; Kuczynksi (1961-62, vol. III, 426).Silesia 1869-1889: Average annual income of workers at the blast furnaces in Silesia in Mark; banks (2000, Table A59). Machine constructionAugsburg 1851-1889: Average annual income of the workers of the Machine Factory Augsburg in Mark; Vol. II, 227; Kuczynski (1961-62, Vol. III, 426).Chemnitz 1860-1887: Weekly wage of machinists in Mark; Kuczynski (1961-62, vol. II, 227; vol. III, 426).Esslingen 1848-1889: Average annual income of workers at the Ess...

The Gross Domestic Product per capita in El Salvador was last recorded at 4585.23 US dollars in 2024. The GDP per Capita in El Salvador is equivalent to 36 percent of the world's average. This dataset provides - El Salvador GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Mexico Minimum Wage: Daily: Weighted Average of the 3 Geographic Area data was reported at 102.680 MXN in Mar 2019. This stayed constant from the previous number of 102.680 MXN for Feb 2019. Mexico Minimum Wage: Daily: Weighted Average of the 3 Geographic Area data is updated monthly, averaging 10.787 MXN from Jan 1964 (Median) to Mar 2019, with 663 observations. The data reached an all-time high of 102.680 MXN in Mar 2019 and a record low of 0.018 MXN in Dec 1965. Mexico Minimum Wage: Daily: Weighted Average of the 3 Geographic Area data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.G040: Minimum Wage and Wage Index.

The typical American picture of a family with 2.5 kids might not be as relevant as it once was: In 2023, there was an average of 1.94 children under 18 per family in the United States. This is a decrease from 2.33 children under 18 per family in 1960.

Familial structure in the United States

If there’s one thing the United States is known for, it’s diversity. Whether this is diversity in ethnicity, culture, or family structure, there is something for everyone in the U.S. Two-parent households in the U.S. are declining, and the number of families with no children are increasing. The number of families with children has stayed more or less constant since 2000.

Adoptions in the U.S.

Families in the U.S. don’t necessarily consist of parents and their own biological children. In 2021, around 35,940 children were adopted by married couples, and 13,307 children were adopted by single women.

Statistical data on the annual rate of change in earnings in Cyprus, in nominal and real terms. The data are on an annual basis for the period from 1960 onwards. Notes: The source of the data since 2010 is the archive of the Social Insurance Services. Before 2010, the source of the data was the Survey of Salaries and Salaries and for the years 1960-1965 data cover weekly employees only, while for the following years they cover both weekly and monthly employees. For the years prior to 2010, data were reported in October each year, while since 2010 they refer to the average of the year. Data in real terms refer to percentages in nominal terms.

The average sales price of new homes in the United States experienced a slight decrease in 2024, dropping to 512,2000 U.S. dollars from the peak of 521,500 U.S. dollars in 2022. This decline came after years of substantial price increases, with the average price surpassing 400,000 U.S. dollars for the first time in 2021. The recent cooling in the housing market reflects broader economic trends and changing consumer sentiment towards homeownership. Factors influencing home prices and affordability The rapid rise in home prices over the past few years has been driven by several factors, including historically low mortgage rates and increased demand during the COVID-19 pandemic. However, the market has since slowed down, with the number of home sales declining by over two million between 2021 and 2023. This decline can be attributed to rising mortgage rates and decreased affordability. The Housing Affordability Index hit a record low of 98.1 in 2023, indicating that the median-income family could no longer afford a median-priced home. Future outlook for the housing market Despite the recent cooling, experts forecast a potential recovery in the coming years. The Freddie Mac House Price Index showed a growth of 6.5 percent in 2023, which is still above the long-term average of 4.4 percent since 1990. However, homebuyer sentiment remains low across all age groups, with people aged 45 to 64 expressing the most pessimistic outlook. The median sales price of existing homes is expected to increase slightly until 2025, suggesting that affordability challenges may persist in the near future.

Canada Minimum Wage data was reported at 16.380 CAD in 2024. This records an increase from the previous number of 15.450 CAD for 2023. Canada Minimum Wage data is updated yearly, averaging 5.701 CAD from Dec 1965 (Median) to 2024, with 60 observations. The data reached an all-time high of 16.380 CAD in 2024 and a record low of 0.917 CAD in 1965. Canada Minimum Wage data remains active status in CEIC and is reported by Employment and Social Development Canada. The data is categorized under Global Database’s Canada – Table CA.G043: Minimum Wage. In Canada, every province and territory provides for a minimum wage in its employment standards legislation, and therefore may vary from one province to another. A value for the hourly minimum wage for Canada is the average of provincial hourly minimum wages.

Kuwait KW: GDP: USD: Gross National Income data was reported at 139.107 USD bn in 2017. This records an increase from the previous number of 124.179 USD bn for 2016. Kuwait KW: GDP: USD: Gross National Income data is updated yearly, averaging 28.017 USD bn from Dec 1965 (Median) to 2017, with 53 observations. The data reached an all-time high of 187.416 USD bn in 2013 and a record low of 1.655 USD bn in 1965. Kuwait KW: GDP: USD: Gross National Income data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kuwait – Table KW.World Bank: Gross Domestic Product: Nominal. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current U.S. dollars.; ; World Bank national accounts data, and OECD National Accounts data files.; Gap-filled total;

Indonesia National Income: SNA 1960: 1960 Series data was reported at 5,592.300 IDR bn in 1973. This records an increase from the previous number of 3,856.500 IDR bn for 1972. Indonesia National Income: SNA 1960: 1960 Series data is updated yearly, averaging 2,619.550 IDR bn from Dec 1960 (Median) to 1973, with 14 observations. The data reached an all-time high of 21,562.000 IDR bn in 1965 and a record low of 286.200 IDR bn in 1966. Indonesia National Income: SNA 1960: 1960 Series data remains active status in CEIC and is reported by Statistics Indonesia. The data is categorized under Global Database’s Indonesia – Table ID.AC001: Gross National Product: Current Price.

Data derived from weekly public opinion polls in the Netherlands in 1965 concerning social and political issues. Samples were drawn from the Dutch population aged 21 years and older.

All data from the surveys held between 1962 and 2000 are available in the DANS data collections.

Background variables:
Sex / age / religion / income / vote recall latest elections / party preference / level of education / union membership / professional status / < self > left-right rating / party alignment / province / degree of urbanization / weight factor.

Topical variables:
n6502: Availability of family planning information.
n6504: Main government tasks in 1965 concerning housing shortage, stabilization of prices, higher wages, recreation etc. / Respondent's housing problems, and housing problems in general.
n6508: Knowledge of names of ministers in cabinet.
n6509: Media debates in Parliament / Cabinet crisis about media / Participation of Socialist Party < PvdA > in new government / Vote at last elections and when there were elections now.
n6510: Engagement Princess Margriet and Pieter van Vollenhoven.
n6512: Formation of the new cabinet / preferred coalition.
n6513: Re-introduction of daylight saving time.
n6514: Late night shopping possibilities.
n6514A: Satisfaction with government system in the Netherlands / Estimate of and opinions about salaries of members of parliament / Functioning of parliament / Possible political influence of respondent / Preference for cooperation Liberals and Socialists VVD-PvdA/ / Possible political influence of coalition Socialists and Liberals / Acquaintance with members of parliament / Possible influence of election generally / Attitude towards parliament.
n6515: Familiarity with and confidence in new cabinet.
n6515A: Satisfaction with government system in The Netherlands estimate of salaries of members of parliament / Functioning of members of parliament possible political influence of respondent / Preference for cooperation between Liberals and Socialists / Possible influence < personal/ of coalition Socialists-Liberals / Acquaintance with members of parliament possible influence of elections generally / Attitude towards parliament.
n6517: Influence of religion / Probability of alliance of Catholics and Protestants in one church.
n6518: Familiarity with and impression of government statement / Alliance protestant parties < ARP-CHU >.
n6519: Main tasks of the present government / Alliance Protestant political parties < ARP and CHU >.
n6521: Intentions of Roman Catholic church.
n6525: Engagement Princess Beatrix and Claus von Amsberg.
n6526: Preference for a monarchy or a republic / Engagement Princess Beatrix / Attitude towards the Germans.
n6527: Politics of President De Gaulle and its effects for The Nether- lands / Membership United Kingdom of the Common Market.
n6529: Whether respondent ever spoke in public, travelled by airplane, drank champagne, visited: a museum, football matches, concerts/ consulted a psychiatrist, wished to be of opposite sex.
n6529A: Reception of TV. channel 2 / Watching TV programs / Pattern of watching TV by family / Choice of TV channel.
n6530: Which country best friend of The Netherlands / Knowledge of and agreement with contribution Hfl. 100.000 for victims South African Apartheid.
n6531: Agreement with government policy / Expectations of situation in Vietnam one year from now.
n6532: Ideal family size / Size of children's allowances.
n6533: Cause of riots on Saturday night in Amsterdam / Should police act or not.
n6533A: Watching TV programs like news, topic < political > events, panel discussions, sports, musicals, shows, and English, American, French, German movies / Watching TV programs with sound turned off.
n6535: Attitude Roman Catholic church now, and in future towards birth control < pill > / How much money is called wealth / Wealthiest person in The Netherlands.
n6536: When and where spending holidays, in The Netherlands or abroad.
n6539: Engagement Princess Beatrix / Law concerning permission for marriage of Princess Beatrix.
n6540: Watching and enjoyment of boxing matches on TV.
n6541: Familiarity with, listening to and judgment about Hilversum 3 < radio program >.
n6542: Marriage of Princess Beatrix / Housing shortage / Personal experience with housing shortage / Respondent's present housing.
n6543: Present buying intentions / Intention to buy electric articles.
n6544: Expectations for well-being of respondents' family for 1966 / expectations for 1966 concerning prices, employment, strikes, taxes, international conflicts, power of the USA and the USSR.
n6548: Preference political party / Sinterklaas gifts.
n6551: Christmas celebration 1965 < tree, decorations, church attendance, presents >.

The Gross Domestic Product per capita in Tunisia was last recorded at 3986.97 US dollars in 2024. The GDP per Capita in Tunisia is equivalent to 32 percent of the world's average. This dataset provides the latest reported value for - Tunisia GDP per capita - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Social Integration Income (RIS) is a minimum income allocated by the CPAS to persons who do not have sufficient resources and are unable to access them, either through their personal efforts or by other means. The Social Integration Income Equivalent (ERIS) is a financial aid granted by the CPAS within the framework of the Right to Social Assistance (Law of 2 April 1965 on the provision of relief from public social assistance centres) to persons who, for specific reasons (e.g. nationality), are not included in the right to social integration. The amounts are identical to those of the RIS.
The key indicator here is based on data from Statbel. It estimates on 1 January of the year, for 18-64 year-olds, the number and share of persons who have benefited from a (E)RIS at least once in the previous year. Two differences can be pointed out between this indicator and the one estimating the share of beneficiaries of a RIS based mainly on SPP-IS data (indicator 8321000). On the one hand, the Statbel-based indicator has higher rates because it is sufficient for a person to have received EUR 1 of RIS in the previous year to be taken into account in the numerator, whereas the municipal indicator is an annual average of the situations in each month.Thus, the “Statbel” indicator estimates the number of all persons who have benefited during the year at least once from a RIS, while the “SPP-IS” indicator estimates the average of people using RIS each month. On the other hand, the “Statbel” indicator is based on the beneficiary’s place of residence while the municipal indicator estimates the number of RIS paid by each CPAS.In some situations, it is possible to be a user of a CPAS different from that of the municipality where one is domiciled. This is the case, students who do not change CPAS, even if their home changes commune. Social Integration Income (RIS) is a minimum income allocated by the CPAS to persons who do not have sufficient resources and are unable to access them, either through their personal efforts or by other means. The Social Integration Income Equivalent (ERIS) is a financial aid granted by the CPAS within the framework of the Right to Social Assistance (Law of 2 April 1965 on the provision of relief from public social assistance centres) to persons who, for specific reasons (e.g. nationality), are not included in the right to social integration. The amounts are identical to those of the RIS.

The key indicator here is based on data from Statbel. It estimates on 1 January of the year, for 18-64 year-olds, the number and share of persons who have benefited from a (E)RIS at least once in the previous year. Two differences can be pointed out between this indicator and the one estimating the share of beneficiaries of a RIS based mainly on SPP-IS data (indicator 8321000).

On the one hand, the Statbel-based indicator has higher rates because it is sufficient for a person to have received EUR 1 of RIS in the previous year to be taken into account in the numerator, whereas the municipal indicator is an annual average of the situations in each month. Thus, the “Statbel” indicator estimates the number of all persons who have benefited during the year at least once from a RIS, while the “SPP-IS” indicator estimates the average of people using RIS each month.

On the other hand, the “Statbel” indicator is based on the beneficiary’s place of residence while the municipal indicator estimates the number of RIS paid by each CPAS. In some situations, it is possible to be a user of a CPAS different from that of the municipality where one is domiciled. This is the case, students who do not change CPAS, even if their home changes commune.

The Gross Domestic Product per capita in Georgia was last recorded at 6840.01 US dollars in 2024. The GDP per Capita in Georgia is equivalent to 54 percent of the world's average. This dataset provides - Georgia GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Nepal NP: GDP: USD: Gross National Income per Capita: Atlas Method data was reported at 790.000 USD in 2017. This records an increase from the previous number of 730.000 USD for 2016. Nepal NP: GDP: USD: Gross National Income per Capita: Atlas Method data is updated yearly, averaging 200.000 USD from Jul 1962 (Median) to 2017, with 56 observations. The data reached an all-time high of 790.000 USD in 2017 and a record low of 50.000 USD in 1965. Nepal NP: GDP: USD: Gross National Income per Capita: Atlas Method data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nepal – Table NP.World Bank: Gross Domestic Product: Nominal. GNI per capita (formerly GNP per capita) is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average;