As of January 2024, the median number of years (tenure) that wage and salary workers had been with their current employer was 3.9 years in the United States. This is a decrease from 2022, when the median tenure was also 4.1 years. Employee tenure is a measure of how long wage and salary workers have been with their current employer. Data on employee tenure can be used as a gauge of employment security, where an increase in tenure means improving security, and a decrease in tenure shows deteriorating security.

As of January 2024, the median number of years (tenure) that wage and salary workers in the manufacturing industry had been with their current employer was 4.9 years in the United States. Workers in the education and health services industry had a median of 3.6 years with their current employer. Employee tenure is a measure of how long wage and salary workers have been with their current employer. Data on employee tenure can be used as a gauge of employment security, where an increase in tenure means improving security, and a decrease in tenure shows deteriorating security.

Number of employed persons by job tenure, North American Industry Classification System (NAICS) and gender.

As of January 2024, the median number of years (tenure) that high school graduate wage and salary workers in the United States had been with their current employer was 4.7 years. The workers with a doctoral or professional degree had a median tenure of 4.8 years with their current employer. Employee tenure is a measure of how long wage and salary workers have been with their current employer. Data on employee tenure can be used as a gauge of employment security, where an increase in tenure means improving security, and a decrease in tenure shows deteriorating security.

In 2022, the average tenure of contract and temporary employees in the United States was 10 weeks. Tenure is defined as the duration of employment with the staffing firm.

Number of employed persons by job tenure, National Occupational Classification (NOC) and sex, last 5 years.

Employees in Greece spend an average of 13 years with their employers as of 2023, the longest average job tenure among European countries. Among the provided countries, Denmark had the shortest average job tenure, at 7.5 years. In most European countries, men spend more time with a single employer on average than women. Notable exceptions to this trend come from a number of post-communist countries in central and eastern Europe - Romania, Bulgaria, Lithuania, Latvia, and Estonia-.

This dataset details the average tenure in months of active male and female Victoria SES volunteers relevant to the regions in which they serve. The data used in this dataset is sourced from Victoria SES' Resource Management System (RMS) and is updated as required by Victoria SES Units. There are six regions operated by Victoria SES: Central (predominantly metropolitan), East, Mid-West, North East, North West and South West. A volunteers' tenure is measured from the date membership is granted to the date they cease being a member. This data does not account for periods where a volunteer has left the organisation but then re-joined.

In 2023, the average tenure of chief marketing officers (CMOs) at the leading 100 advertisers in the United States reached 37.2 months – or 3.1 years. That was the lowest average since 2009, when it stood at 34.7 months.

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In 2024, approximately 28 percent of respondents stated that they have been working in the cleaning/maintenance department within facility management in the United States for four to seven years. This is roughly the same when compared to 2023.

Graph and download economic data for Expenditures: Total Average Annual Expenditures by Housing Tenure: Homeowner with Mortgage (CXUTOTALEXPLB1703M) from 2003 to 2023 about homeownership, mortgage, average, expenditures, housing, and USA.

NOTE: Data based on a sample except in P3, P4, H3, and H4. For.information on confidentiality protection, sampling error,.nonsampling error, definitions, and count corrections see.http://www.census.gov/prod/cen2000/doc/slds.pdf

Mean and median income by tenure status

The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article I, Section 2 of the Constitution and all households in the U.S. and individuals living in group quarters were required by law to respond to the 2010 Census questionnaire. The data collected by the decennial census determine the number of seats each state has in the U.S. House of Representatives and is also used to distribute billions in federal funds to local communities. The questionnaire consisted of a limited number of questions but allowed for the collection of information on the number of people in the household and their relationship to the householder, an individual's age, sex, race and Hispanic ethnicity, the number of housing units and whether those units are owner- or renter-occupied, or vacant. Results for sub-state geographic areas in New Mexico were released in a series of data products. These data come from Summary File 1 (SF-1). The geographic coverage for SF-1 includes the state, counties, places (both incorporated and unincorporated communities), tribal lands, school districts, census tracts, block groups and blocks, among others. Table DC10_00836 is for Harding County and all census blocks in the county. The table shows average household size for all occupied housing units combined and for owner- and renter-occupied housing units. This file, along with file descriptions (in Word and text formats) are available in a single zip file.

This statistic shows the average job tenure of employees in a Canada in 2022, distinguished by major industry. In 2022, the average job tenure for Canadian employees in agriculture stood at 192.3 months.

NOTE: Data based on a sample. For information on confidentiality.protection, sampling error, nonsampling error, definitions, and.count corrections see.http://www.census.gov/prod/cen2000/doc/sf4.pdf

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2019-2023 American Community Survey 5-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..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 roughly 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 ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

The American Community Survey (ACS) 5 Year 2016-2020 housing estimate data is a subset of information derived from the following census tables:B25002 - Occupancy Status;B25009 - Tenure By Household Size;B25021 - Median Number Of Rooms By Tenure;B25024 - Units In Structure;B25032 - Tenure by Units In Structure;B25036 - Tenure By Year Structure Built;B25037 - Median Year Structure Built By Tenure;B25041 – Bedrooms;B25042 - Tenure By Bedrooms;B25056 - Contract Rent;B25058 - Median Contract Rent;B25068 - Bedrooms By Gross Rent;B25077 - Median Value;B25097 - Mortgage Status By Median Value (Dollars), and;B25123 - Tenure By Selected Physical And Financial Conditions.To learn more about the American Community Survey (ACS), and associated datasets visit: https://www.census.gov/programs-surveys/acs, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov.
Data Dictionary: DD_ACS 5-Year Housing Estimate Data by Place Date of Coverage: 2016-2020

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2021 American Community Survey 1-Year Estimates.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 roughly 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 ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..The 2021 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineations due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.