This statistic shows the median income of homeowners homeowners in the United States from 2005 to 2017. In 2017, the median income of homeowners reached 75,000 U.S. dollars, up from 68,662 U.S. dollars in 2011.

In 2005, an estimated 18 201 000 people reported employment income (earnings), an increase of more than 1.5 million from five years ago. The national median earnings of persons 15 years and over was $26 850. These earnings were one component of household total income. The national median income for 12 437 470 households in 2005 was $53 634 up 2.3% from 2000. The map shows by census division the median household income in 2005 constant dollars.

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.

In 2005, an estimated 18 201 000 people reported employment income (earnings), an increase of more than 1.5 million from five years ago. The national median earnings of persons 15 years and over was $26 850. These earnings were one component of household total income. The national median income for 12 437 470 households in 2005 was $53 634 up 2.3% from 2000. The map shows by census subdivision the median household income in 2005 constant dollars.

VITAL SIGNS INDICATOR
Income (EC4)

FULL MEASURE NAME
Household income by place of residence

LAST UPDATED
January 2023

DESCRIPTION
Income reflects the median earnings of individuals and households from employment, as well as the income distribution by quintile. Income data highlight how employees are being compensated for their work on an inflation-adjusted basis.

DATA SOURCE
U.S. Census Bureau: Decennial Census - https://nhgis.org
Count 4Pb (1970)
Form STF3 (1980-1990)
Form SF3a (2000)

U.S. Census Bureau: American Community Survey - https://data.census.gov/
Form B19001 (2005-2021; household income by place of residence)
Form B19013 (2005-2021; median household income by place of residence)
Form B08521 (2005-2021; median worker earnings by place of employment)

Bureau of Labor Statistics: Consumer Price Index - https://www.bls.gov/data/
1970-2021

CONTACT INFORMATION
vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator)
Income derived from the decennial Census data reflects the income earned in the prior calendar year, whereas income derived from the American Community Survey (ACS) data reflects the prior 12 month period; note that this inconsistency has a minor effect on historical comparisons (see Income and Earnings Data section of the ACS General Handbook - https://www.census.gov/content/dam/Census/library/publications/2020/acs/acs_general_handbook_2020_ch09.pdf). ACS 1-year data is used for larger geographies – Bay counties and most metropolitan area counties – while smaller geographies rely upon 5-year rolling average data due to their smaller sample sizes. Note that 2020 data uses the 5-year estimates because the ACS did not collect 1-year data for 2020.

Quintile income for 1970-2000 is imputed from decennial Census data using methodology from the California Department of Finance. Bay Area income is the population weighted average of county-level income.

Income has been inflated using the Consumer Price Index (CPI) for 2021 specific to each metro area; however, some metro areas lack metro-specific CPI data back to 1970 and therefore adjusted data uses national CPI for 1970. Note that current MSA boundaries were used for historical comparison by identifying counties included in today’s metro areas.

Key information about Pakistan Household Income per Capita

• Pakistan Annual Household Income per Capita reached 587.069 USD in Jun 2019, compared with the previous value of 650.644 USD in Jun 2016.
• Pakistan Annual Household Income per Capita data is updated yearly, available from Jun 2005 to Jun 2019, with an averaged value of 508.977 USD.
• The data reached an all-time high of 650.644 USD in Jun 2016 and a record low of 290.069 USD in Jun 2005.

CEIC calculates Annual Household Income per Capita from annual Monthly Average Household Income multiplied by 12 and annual Average Household Size and converts it into USD. The Pakistan Bureau of Statistics provides Average Household Income in local currency and Average Household Size. The State Bank of Pakistan average market exchange rate is used for currency conversions. Household Income per Capita is in annual frequency, ending in June of each year.

This statistic shows the median income of home buyers in the United States from 2005 to 2017. In 2017, the median income of home buyers reached 79,900 U.S. dollars, up from 67,573 U.S. dollars in 2011.

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.

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.

Presents socio-demographic information of York Region’s population and is aggregated from Statistics Canada’s Census data. For reference purposes, York Region data is compared to those of Ontario, Canada, the Greater Toronto Area and York Region local municipalities.

Average Household Income: Value: From Work: Agricultural Enterprises data was reported at 6,628.500 EGP in 2015. This records an increase from the previous number of 5,766.900 EGP for 2013. Average Household Income: Value: From Work: Agricultural Enterprises data is updated yearly, averaging 2,895.600 EGP from Jun 2005 (Median) to 2015, with 5 observations. The data reached an all-time high of 6,628.500 EGP in 2015 and a record low of 1,994.500 EGP in 2005. Average Household Income: Value: From Work: Agricultural Enterprises data remains active status in CEIC and is reported by Central Agency for Public Mobilization and Statistics. The data is categorized under Global Database’s Egypt – Table EG.H012: Average Household Income.

Average Household Income: Value: From Work: Non Agricultural Enterprises data was reported at 15,404.000 EGP in 2015. This records an increase from the previous number of 9,718.600 EGP for 2013. Average Household Income: Value: From Work: Non Agricultural Enterprises data is updated yearly, averaging 4,015.200 EGP from Jun 2005 (Median) to 2015, with 5 observations. The data reached an all-time high of 15,404.000 EGP in 2015 and a record low of 2,328.400 EGP in 2005. Average Household Income: Value: From Work: Non Agricultural Enterprises data remains active status in CEIC and is reported by Central Agency for Public Mobilization and Statistics. The data is categorized under Global Database’s Egypt – Table EG.H012: Average Household Income.

Average Household Income: Value: Rural: Real Estate & Financial Possessions data was reported at 990.900 EGP in 2015. This records an increase from the previous number of 534.400 EGP for 2013. Average Household Income: Value: Rural: Real Estate & Financial Possessions data is updated yearly, averaging 462.100 EGP from Jun 2005 (Median) to 2015, with 5 observations. The data reached an all-time high of 990.900 EGP in 2015 and a record low of 279.200 EGP in 2005. Average Household Income: Value: Rural: Real Estate & Financial Possessions data remains active status in CEIC and is reported by Central Agency for Public Mobilization and Statistics. The data is categorized under Global Database’s Egypt – Table EG.H012: Average Household Income.

In 2023 the mean earnings of Bachelor's degree holders in the United States amounted to 86,970 U.S. dollars. People with higher education degrees tended to earn more than those without. For example, high school graduates, including those with a GED, had mean earnings of 46,720 U.S. dollars.

In 2005, an estimated 18 201 000 people reported employment income (earnings), an increase of more than 1.5 million from five years ago. The national median earnings of persons 15 years and over was $26 850. These earnings were one component of household total income. The national median income for 12 437 470 households in 2005 was $53 634 up 2.3% from 2000. The map shows by census subdivision the median earnings of individuals 15 years and over in 2005 constant dollars.

Average disposable income per household member in Lithuania reached 605 euros in 2020, increasing by 70 euros from the previous year. Over the observed period, the country's disposable income per household member constantly increased.

Since 1946, the Central Bureau of Statistics has held regularly research on regional income distribution.These studies are mainly based on registers from the Ministry of Finance (the tax registers) and the Dutch municipalities (de population registers = GBA).The final results from the Regional Income research (RIO) is based on a sample of more than 1.9 million households. Income distributions of persons or households, by country, province, COROP area, metropolitan agglomeration, urban region and municipality. Data available from:2005 These renewed figures from the 2005 RIO relate to 'provisional figures.

For RIO 2005, a new production run of the

income production system took place with improved input data from the tax registers of 2005. With this improved input data, the number of data to be imputed on micro

level from previous research years (2004 and 2003) substantially less this improves the quality of output. It is now apparent from the plausibility contoles that in the numbers and amounts small differences are found in relation to the previous production run from the beginning of this year, we are forced to have the existing RIO 2005 output to be revised. The reference date is 1 January 2006; the data relate to the research year 2005. Frequency: one-off Because the municipal division changes annually, the results are published from the RIO for each individual research year; merging

or division of municipalities will result in all information related

to income in a newly formed or split municipality

can change so that comparability over time is not possible.

Key information about Lithuania Household Income per Capita

• Lithuania Annual Household Income per Capita reached 10,849.706 USD in Dec 2023, compared with the previous value of 9,476.455 USD in Dec 2022.
• Lithuania Annual Household Income per Capita data is updated yearly, available from Dec 2005 to Dec 2023, with an averaged value of 5,421.344 USD.
• The data reached an all-time high of 10,849.706 USD in Dec 2023 and a record low of 2,201.811 USD in Dec 2005.
• In the latest reports, Retail Sales of Lithuania grew 3.323 % YoY in Apr 2024.

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

Average Household Income: Value: Rural: Current Transfers data was reported at 6,968.700 EGP in 2015. This records an increase from the previous number of 3,962.600 EGP for 2013. Average Household Income: Value: Rural: Current Transfers data is updated yearly, averaging 2,858.600 EGP from Jun 2005 (Median) to 2015, with 5 observations. The data reached an all-time high of 6,968.700 EGP in 2015 and a record low of 1,113.900 EGP in 2005. Average Household Income: Value: Rural: Current Transfers data remains active status in CEIC and is reported by Central Agency for Public Mobilization and Statistics. The data is categorized under Global Database’s Egypt – Table EG.H012: Average Household Income.

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