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.

Graph and download economic data for Median Household Income in the United States (MEHOINUSA646N) from 1984 to 2023 about households, median, income, and USA.

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.

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

Key information about Argentina Household Income per Capita

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

CEIC calculcates Annual Household Income per Capita from quarterly Monthly Average Household Income per Capita multiplied by 3 and converts it into USD. The National Institute of Statistics and Censuses provides Average Household Income per Capita in local currency. The Central Bank of Argentina average market exchange rate is used for currency conversions. Household Income covers Urban area only.

In 2023, the average monthly income per household in the province of Phuket, in Thailand, amounted to approximately 41.87 thousand Thai baht. The figures show a gradual increase in monthly income in Phuket throughout the years, with some slight fluctuations.

In 2004, the average gross annual income per household in Bulgaria was 5,925 Bulgaria leva. The annual household income slightly variated until 2011, then constantly increased until 2023, peaking at over 21 thousand Bulgarian leva.

Key information about Slovakia Household Income per Capita

• Slovakia Annual Household Income per Capita reached 7,721.980 USD in Dec 2023, compared with the previous value of 7,306.082 USD in Dec 2022.
• Slovakia Annual Household Income per Capita data is updated yearly, available from Dec 2004 to Dec 2023, with an averaged value of 6,850.165 USD.
• The data reached an all-time high of 8,274.129 USD in Dec 2020 and a record low of 3,052.861 USD in Dec 2004.
• In the latest reports, Retail Sales of Slovakia grew 10.100 % YoY in Dec 2024.

CEIC calculates Annual Household Income per Capita from Monthly Average Household Income per Capita multiplied by 12 and converts it into USD. The Statistical Office of the Slovak Republic provides Average Household Income per Capita in EUR. Federal Reserve Board average market exchange rate is used for currency conversions. Household Income per Capita prior to 2010 is based on old methodology.

Slovakia Gross Monthly Average Household Income per Capita data was reported at 510.100 EUR in 2016. This records an increase from the previous number of 487.110 EUR for 2015. Slovakia Gross Monthly Average Household Income per Capita data is updated yearly, averaging 404.610 EUR from Dec 2004 (Median) to 2016, with 13 observations. The data reached an all-time high of 510.100 EUR in 2016 and a record low of 272.400 EUR in 2004. Slovakia Gross Monthly Average Household Income per Capita data remains active status in CEIC and is reported by Statistical Office of the Slovak Republic. The data is categorized under Global Database’s Slovakia – Table SK.H006: Household Income and Expenditure: per Capita: Annual.

Since 1946, Statistics Netherlands has regularly conducted research into the regional distribution of income. These studies are mainly based on registers from the Ministry of Finance (the tax registers) and the Dutch municipalities (the population registers = GBA). The final RIO results are based on a sample of 1.9 million households. Income distributions of persons and households, per country, province, corop area, metropolitan agglomeration, urban region and municipality. Data available from: 2004 The figures from the Regional Income Survey (RIO) 2004 are provisional figures. Frequency: one-off Because the municipal classification changes every year, the results from the RIO are published for each separate research year; merging or splitting municipalities means that all information related to income in a newly formed or split municipality can change considerably, so that comparability over time is not possible.

Key information about Latvia Household Income per Capita

• Latvia Annual Household Income per Capita reached 11,002.589 USD in Dec 2023, compared with the previous value of 9,336.390 USD in Dec 2022.
• Latvia Annual Household Income per Capita data is updated yearly, available from Dec 2004 to Dec 2023, with an averaged value of 5,720.879 USD.
• The data reached an all-time high of 11,002.589 USD in Dec 2023 and a record low of 2,206.397 USD in Dec 2004.
• In the latest reports, Retail Sales of Latvia grew 2.055 % YoY in Jan 2025.

CEIC calculates Annual Household Income per Capita from Monthly Average Household Income per Capita multiplied by 12 and converts it into USD. The Central Statistical Bureau of Latvia provides Average Household Income per Capita in EUR. Federal Reserve Board average market exchange rate is used for currency conversions. Household Income covers Household Disposable Income only.

Graph and download economic data for Estimate of Median Household Income for San Francisco County/City, CA (MHICA06075A052NCEN) from 1989 to 2023 about San Francisco County/City, CA; San Francisco; CA; households; median; income; and USA.

Argentina PHHS: Urban: By Population Level: Average Household Income Per Capita: 1st Decile data was reported at 91,896.000 ARS in Sep 2024. This records an increase from the previous number of 62,246.000 ARS for Jun 2024. Argentina PHHS: Urban: By Population Level: Average Household Income Per Capita: 1st Decile data is updated quarterly, averaging 462.107 ARS from Sep 2003 (Median) to Sep 2024, with 81 observations. The data reached an all-time high of 91,896.000 ARS in Sep 2024 and a record low of 19.068 ARS in Jun 2004. Argentina PHHS: Urban: By Population Level: Average Household Income Per Capita: 1st Decile data remains active status in CEIC and is reported by National Institute of Statistics and Censuses. The data is categorized under Global Database’s Argentina – Table AR.H021: Urban Household Income Level: Permanent Household Survey. The Permanent Household Survey data Sep 2007 is not available due to a strike that prevented the completition of the survey by the source. 2. Q3 2015, Q4 2015 and Q1 2016 data point for this series has not been released by INDEC. Data points will be uploaded once becomes available from the source.

Argentina PHHS: Urban: By Population Level: Average Household Income Per Capita: 10th Decile data was reported at 1,571,188.000 ARS in Sep 2024. This records an increase from the previous number of 1,156,206.000 ARS for Jun 2024. Argentina PHHS: Urban: By Population Level: Average Household Income Per Capita: 10th Decile data is updated quarterly, averaging 8,852.877 ARS from Sep 2003 (Median) to Sep 2024, with 81 observations. The data reached an all-time high of 1,571,188.000 ARS in Sep 2024 and a record low of 1,150.194 ARS in Jun 2004. Argentina PHHS: Urban: By Population Level: Average Household Income Per Capita: 10th Decile data remains active status in CEIC and is reported by National Institute of Statistics and Censuses. The data is categorized under Global Database’s Argentina – Table AR.H021: Urban Household Income Level: Permanent Household Survey. The Permanent Household Survey data Sep 2007 is not available due to a strike that prevented the completition of the survey by the source. 2. Q3 2015, Q4 2015 and Q1 2016 data point for this series has not been released by INDEC. Data points will be uploaded once becomes available from the source.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Tarboro: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 130(2.72%) households where the householder is under 25 years old, 1,057(22.15%) households with a householder aged between 25 and 44 years, 1,580(33.12%) households with a householder aged between 45 and 64 years, and 2,004(42%) households where the householder is over 65 years old.
• The age group of 45 to 64 years exhibits the highest median household income, while the largest number of households falls within the 65 years and over bracket. This distribution hints at economic disparities within the town of Tarboro, showcasing varying income levels among different age demographics.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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

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

About this dataset

Context

The dataset illustrates the median household income in Belle Isle, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for Belle Isle increased by $2,004 (1.82%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 6 years and declined for 7 years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

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 Belle Isle median household income. You can refer the same here

In 2023, the median household income in New York amounted to 81,600 U.S. dollars. This is an increase from the previous year, when the median household income in the state amounted to 75,910 U.S. dollars. The median household income for the United States can be accessed here.

Number of households and average annual income by household characteristics and by income concept. 1990 - 2000 Changed October 01, 2004. Frequency: Discontinued.

Abstract

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE CENTRAL AGENCY FOR PUBLIC MOBILIZATION AND STATISTICS (CAPMAS)

Income, Expenditure and Consumption Surveys assume a prime importance among all household surveys undertaken by the national statistical offices all over the world. On the basis of such surveys, the standard of living of both households and individuals can be measured. Determining poverty line and setting up a basis for social welfare assistance depend on these surveys. In addition, weights for consumer price index which in turn is an important measure of inflation are derived from such surveys. Egypt has recognized the greatest importance of these surveys long time ago, the current HIECS 2004/2005 is the eighth Household Income, Expenditure and Consumption Survey that was carried out in 2004/2005, on a sample of 48000 households, among a long series of similar surveys that started back in 1955, and followed by several surveys.

The survey main objectives are: To identify expenditure levels and patterns of population as well as socio-economic and demographic differentials. To estimate the quantities, values of commodities and services consumed by households during the survey period to determine the levels of consumption and estimate the current demand which is an important input for national planning. Current and past demand estimates are utilized to predict future demands. To measure mean household and per-capita expenditure for various expenditure items along with socio-economic correlates. To define percentage distribution of expenditure for various items used in compiling consumer price indices which is considered important indicator for measuring inflation. To define mean household and per-capita income from different sources. To provide data necessary to measure standard of living for households and individuals. Poverty analysis and setting up a basis for social welfare assistance are highly dependent on the results of this survey. To provide essential data to measure elasticity which reflects the percentage change in expenditure for various commodity and service groups against the percentage change in total expenditure for the purpose of predicting the levels of expenditure and consumption for different commodity and service items in urban and rural areas. To provide data essential for comparing change in expenditure against change in income to measure income elasticity of expenditure. To study the relationships between demographic, geographical, housing characteristics of households and their income and expenditure for commodities and services. To provide data necessary for national accounts especially in compiling inputs and outputs tables. To identify consumers behavior changes among socio-economic groups in urban and rural areas. To identify per capita food consumption and its main components of calories, proteins and fats according to its sources and the levels of expenditure in both urban and rural areas. To identify the value of expenditure for food according to sources, either from household production or not, in addition to household expenditure for non food commodities and services. To identify distribution of households according to the possession of some appliances and equipments such as (cars, satellites, mobiles ...) in urban and rural areas. To identify the percentage distribution of income recipients according to some background variables such as housing conditions, size of household and characteristics of head of household.

It is the first time that the Household Income, Expenditure and Consumption Survey implies the following issues: 1- The use of the classification of individual consumption according to purpose (COICOP) in designing the expenditure and consumption questionnaire. 2- The inclusion of the main sales outlets of food and beverages. 3- The addition of school enrollment (6+ years) to the household schedule. 4- The inclusion of expenditure for used commodities (durables and semi durables). 5- The addition of data related to change in assets owned by the household during the reference year.

The raw survey data provided by the Statistical Agency were cleaned and harmonized by the Economic Research Forum, in the context of a major project that started in 2009. During which extensive efforts have been exerted to acquire, clean, harmonize, preserve and disseminate micro data of existing household surveys in several Arab countries.

Geographic coverage

Covering a sample of urban and rural areas in all the governorates.

Analysis unit

1- Household/family. 2- Individual/person.

Universe

The survey covered a national sample of households and all individuals permanently residing in surveyed households.

Kind of data

Sample survey data [ssd]

Sampling procedure

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE CENTRAL AGENCY FOR PUBLIC MOBILIZATION AND STATISTICS (CAPMAS)

The sample of the Household Income, Expenditure and Consumption Survey (HIECS) of 2004/2005 is a multi-stage stratified cluster sample and self-weighted to the practical extent. Its designed size is 48000 households allocated among governorates and their urban/rural components in proportion to size. The sample was selected in three stages (the second stage is considered dummy), the first two stages is related to the Master Sample which has been drawn directly before the fieldwork of HIECS started. The third sampling stage concerns with the selection of a sample of 40 households from each Master Sample Areas (1200 areas with approximately 700 households in each).

The Master Sample (1200 areas) has been allocated among the governorates of Egypt, with its urban/rural components, in proportion with the estimated size of households of every stratum (governorate) and substratum (urban/rural populations). At the first sampling stage, the shiakha in urban and village in rural are considered the smallest administrative divisions for which census data are available. Therefore such divisions were considered Primary Sampling Units (PSUs) for urban and rural samples of all governorates respectively. Small towns which are not further subdivided into smaller administrative units are dealt with as urban PSUs. While the larger shiakhas or towns were subdivided into several PSUs using the 1996 census data. At the contrary, a village with less than 600 households in 1996 (700 households at present) was joined to the adjacent village so as to make certain that all PSUs are greater than 600 households in 1996. Subsequently, the sampling frames of the first stage sample of urban/rural substrata for all governorates were formed. Implicit stratification was introduced to both urban and rural frames. At the second stage of sampling, a single area segment was selected following the equal probability selection method. A field operation has been carried out for the purpose of creating a household list for each selected second stage sample segment. In the third sampling stage representing the final stage, 40 households were selected from each area segment selected in the second sampling stage of the master sample. With the aim of reducing the field efforts it was deemed efficient to limit the spread of the household sample over the entire area segments by sampling clusters of 5 households each instead of sampling individual households directly. It is worth mentioning that the method of systematic selection will jeopardize the property of equal probability selection as each household in the list still has 40 chances of being selected in the sample.

A more detailed description of the different sampling stages and allocation of sample across governorates is provided in the Methodology document available among the documentation materials published in both Arabic and English.

Mode of data collection

Face-to-face [f2f]

Research instrument

Three different questionnaires have been designed as following: 1- Expenditure and consumption questionnaire. 2- Diary questionnaire for expenditure and consumption. 3- Income questionnaire.

In designing the questionnaires of expenditure, consumption and income, we were taking into our consideration the following: - Using the recent concepts and definitions of International Labor Organization approved in the International Convention of Labor Statisticians held in Geneva, 2003. - Using the recent Classification of Individual Consumption according to Purpose (COICOP). - Using more than one approach of expenditure measurement to serve many purposes of the survey.

A brief description of each questionnaire is given next:

1- Expenditure and Consumption Questionnaire

This questionnaire comprises 14 tables in addition to identification and geographic data of household on the cover page. The questionnaire is divided into two main sections.

Section one: Household schedule and other information. It includes: - Demographic characteristics and basic data for all household individuals consisting of 16 questions for every person. - Members of household who are currently working abroad. - The household ration card. - The main outlets that provide food and beverage. - Domestic and foreign tourism. - The housing conditions including 15 questions. - Means of transportation used to go to work or school. - The household possession of appliances and means