The annual personal income of Kansas City Metro Area (MO-KS) was $44,578 in 2011.

Annual Personal Income in US$

Per capita personal income was computed using Census Bureau midyear population estimates. Estimates for 2010-2014 reflect county population estimates available as of March 2015. All dollar estimates are in current dollars (not adjusted for inflation).

Above charts are based on data from the U.S. Bureau of Economic Analysis | Data Source | ODN Dataset | API - Notes:

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Economy and Personal Income Datasets Involving Kansas City Metro Area (MO-KS)

  • API

    Quarterly Census of Employment and Wages (QCEW)

    data.edd.ca.gov | Last Updated 2019-05-29T22:28:52.000Z

    The Quarterly Census of Employment and Wages (QCEW) Program is a Federal-State cooperative program between the U.S. Department of Labor’s Bureau of Labor Statistics (BLS) and the California EDD’s Labor Market Information Division (LMID). The QCEW program produces a comprehensive tabulation of employment and wage information for workers covered by California Unemployment Insurance (UI) laws and Federal workers covered by the Unemployment Compensation for Federal Employees (UCFE) program. The QCEW program serves as a near census of monthly employment and quarterly wage information by 6-digit industry codes from the North American Industry Classification System (NAICS) at the national, state, and county levels. At the national level, the QCEW program publishes employment and wage data for nearly every NAICS industry. At the state and local area level, the QCEW program publishes employment and wage data down to the 6-digit NAICS industry level, if disclosure restrictions are met. In accordance with the BLS policy, data provided to the Bureau in confidence are used only for specified statistical purposes and are not published. The BLS withholds publication of Unemployment Insurance law-covered employment and wage data for any industry level when necessary to protect the identity of cooperating employers. Data from the QCEW program serve as an important input to many BLS programs. The Current Employment Statistics and the Occupational Employment Statistics programs use the QCEW data as the benchmark source for employment. The UI administrative records collected under the QCEW program serve as a sampling frame for the BLS establishment surveys. In addition, the data serve as an input to other federal and state programs. The Bureau of Economic Analysis (BEA) of the Department of Commerce uses the QCEW data as the base for developing the wage and salary component of personal income. The U.S. Department of Labor’s Employment and Training Administration (ETA) and California's EDD use the QCEW data to administer the Unemployment Insurance program. The QCEW data accurately reflect the extent of coverage of California’s UI laws and are used to measure UI revenues; national, state and local area employment; and total and UI taxable wage trends. The U.S. Department of Labor’s Bureau of Labor Statistics publishes new QCEW data in its County Employment and Wages news release on a quarterly basis. The BLS also publishes a subset of its quarterly data through the Create Customized Tables system, and full quarterly industry detail data at all geographic levels.

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    Annual Income - Median and Per Capita

    data.mesaaz.gov | Last Updated 2019-02-11T20:21:44.000Z

    The Annual Income - Median and Per Capita dataset shows Median Household Income and Per Capita Income for the City of Mesa, and some comparative numbers from other neighboring communities as well as Maricopa County. Census money income is defined as income received on a regular basis (exclusive of certain money receipts such as capital gains) before payments for personal income taxes, social security, union dues, medicare deductions, etc. Therefore, money income does not reflect the fact that some families receive part of their income in the form of noncash benefits, such as food stamps, health benefits, subsidized housing, and goods produced and consumed on the farm. In addition, money income does not reflect the fact that noncash benefits are also received by some nonfarm residents which may take the form of the use of business transportation and facilities, full or partial payments by business for retirement programs, medical and educational expenses, etc. Data users should consider these elements when comparing income levels. Moreover, users should be aware that for many different reasons there is a tendency in household surveys for respondents to underreport their income. Based on an analysis of independently derived income estimates, the Census Bureau determined that respondents report income earned from wages or salaries much better than other sources of income and that the reported wage and salary income is nearly equal to independent estimates of aggregate income. Census also derives alternative income measures that systematically remove or add various income components such as deducting payroll taxes and federal and state income taxes and including the value of specific noncash benefits, food stamps, school lunches, housing subsidies, health insurance programs, and return on home equity. These alternative measures are derived from information collected in Census surveys along with information from other agencies such as the Centers for Medicare and Medicaid Services (CMS), the U.S. Bureau of Labor Statistics, the U.S. Department of Agriculture, the U.S. Internal Revenue Service, and the U.S. Office of Personnel Management (OPM). What does Income Include? http://www.census.gov/cps/data/incdef.html

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    Annual Income

    data.mesaaz.gov | Last Updated 2019-02-11T18:03:34.000Z

    The Annual Income dataset shows Household Income ranges for the City of Mesa, and some comparative numbers from other neighboring communities as well as Maricopa County. Source is American FactFinder at census.gov. See source link below. Saved query is found in attachments. Change file name from *.txt to *.aff and retrieve using the "Load Search or Query" button on the main page at http://factfinder.census.gov. Census money income is defined as income received on a regular basis (exclusive of certain money receipts such as capital gains) before payments for personal income taxes, social security, union dues, medicare deductions, etc. Therefore, money income does not reflect the fact that some families receive part of their income in the form of noncash benefits, such as food stamps, health benefits, subsidized housing, and goods produced and consumed on the farm. In addition, money income does not reflect the fact that noncash benefits are also received by some nonfarm residents which may take the form of the use of business transportation and facilities, full or partial payments by business for retirement programs, medical and educational expenses, etc. Data users should consider these elements when comparing income levels. Moreover, users should be aware that for many different reasons there is a tendency in household surveys for respondents to underreport their income. Based on an analysis of independently derived income estimates, the Census Bureau determined that respondents report income earned from wages or salaries much better than other sources of income and that the reported wage and salary income is nearly equal to independent estimates of aggregate income. Census also derives alternative income measures that systematically remove or add various income components such as deducting payroll taxes and federal and state income taxes and including the value of specific noncash benefits, food stamps, school lunches, housing subsidies, health insurance programs, and return on home equity. These alternative measures are derived from information collected in Census surveys along with information from other agencies such as the Centers for Medicare and Medicaid Services (CMS), the U.S. Bureau of Labor Statistics, the U.S. Department of Agriculture, the U.S. Internal Revenue Service, and the U.S. Office of Personnel Management (OPM). What does Income Include? http://www.census.gov/cps/data/incdef.html

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    Medicare Hospital Cost Report PUF 2014

    data.cms.gov | Last Updated 2019-01-08T17:55:39.000Z

    The Hospital Cost Report Public Use File (Hospital Cost Report PUF) presents select measures provided by hospitals through their annual cost report, and is organized at the hospital level. The Hospital Cost Report PUF is available in a downloadable, user-friendly Excel format. The PUF does not contain all measures reported in the cost reports, but rather includes a subset of commonly used measures. Any hospital that submitted a cost report in a given year will be included in the PUF. For a full list of variables included in this PUF and their descriptions, please see the attachments. The variables in the Hospital Cost Report PUF have not been edited or changed and will be identical to what is available in the online HCRIS system in the 2014 SAS dataset as of July 15, 2018. Please note however that the HCRIS datasets are updated quarterly, while the PUF is created annually, and therefore the data may not match if compared to later versions of the HCRIS files.

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    2011 National Household Survey (NHS) - Income by Census Tracts, Dissemination Areas, Wards and Urban Service Areas

    data.strathcona.ca | Last Updated 2016-12-16T16:03:17.000Z

    The data shows income frequency distribution for individuals and households in four different boundary types. The data was provided by Statistics Canada but it has been sectioned and transposed. The fields come from NHS profile reports of Statistics Canada and some information may not be available for all the boundaries. The fields have been arranged in the same order as NHS profile reports. To see a more complete description of the fields click on this link: http://www12.statcan.gc.ca/nhs-enm/2011/dp-pd/prof/details/Page.cfm?Lang=E&Geo1=CSD&Code1=4811052&Data=Count&SearchText=Strathcona%20County&SearchType=Begins&SearchPR=01&A1=All&B1=All&GeoLevel=PR&GeoCode=10#tabs1 The field “Household income in 2010 of private households” in the Income of Households in 2010 section is not included in the data to avoid redundancy.

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    LACERS Key Facts and Figures from Year End Financial Reports

    data.lacity.org | Last Updated 2019-07-26T22:16:01.000Z

    This is a collection of data reported in LACERS Comprehensive Annual Financial Report (CAFR) since Fiscal Year End 2003, including data from the annual Actuarial Valuations generated after the end of each Fiscal Year. Actuarial Valuations and CAFR documents, in electronic form, can be found on the LACERS.org website at https://www.lacers.org/aboutlacers/reports/index.html.

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    Michigan Dashboard

    midashboard.michigan.gov | Last Updated 2018-01-18T19:19:48.000Z

    Open Michigan (OpenMichigan@michigan.gov) is the official State of Michigan account. Any items created by other user accounts are not endorsed by the State of Michigan.

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    Uninsured Population Census Data CY 2009-2014 Human Services

    data.pa.gov | Last Updated 2019-04-01T15:15:07.000Z

    This data is pulled from the U.S. Census website. This data is for years Calendar Years 2009-2014. Product: SAHIE File Layout Overview Small Area Health Insurance Estimates Program - SAHIE Filenames: SAHIE Text and SAHIE CSV files 2009 – 2014 Source: Small Area Health Insurance Estimates Program, U.S. Census Bureau. Internet Release Date: May 2016 Description: Model‐based Small Area Health Insurance Estimates (SAHIE) for Counties and States File Layout and Definitions The Small Area Health Insurance Estimates (SAHIE) program was created to develop model-based estimates of health insurance coverage for counties and states. This program builds on the work of the Small Area Income and Poverty Estimates (SAIPE) program. SAHIE is only source of single-year health insurance coverage estimates for all U.S. counties. For 2008-2014, SAHIE publishes STATE and COUNTY estimates of population with and without health insurance coverage, along with measures of uncertainty, for the full cross-classification of: •5 age categories: 0-64, 18-64, 21-64, 40-64, and 50-64 •3 sex categories: both sexes, male, and female •6 income categories: all incomes, as well as income-to-poverty ratio (IPR) categories 0-138%, 0-200%, 0-250%, 0-400%, and 138-400% of the poverty threshold •4 races/ethnicities (for states only): all races/ethnicities, White not Hispanic, Black not Hispanic, and Hispanic (any race). In addition, estimates for age category 0-18 by the income categories listed above are published. Each year’s estimates are adjusted so that, before rounding, the county estimates sum to their respective state totals and for key demographics the state estimates sum to the national ACS numbers insured and uninsured. This program is partially funded by the Centers for Disease Control and Prevention's (CDC), National Breast and Cervical Cancer Early Detection ProgramLink to a non-federal Web site (NBCCEDP). The CDC have a congressional mandate to provide screening services for breast and cervical cancer to low-income, uninsured, and underserved women through the NBCCEDP. Most state NBCCEDP programs define low-income as 200 or 250 percent of the poverty threshold. Also included are IPR categories relevant to the Affordable Care Act (ACA). In 2014, the ACA will help families gain access to health care by allowing Medicaid to cover families with incomes less than or equal to 138 percent of the poverty line. Families with incomes above the level needed to qualify for Medicaid, but less than or equal to 400 percent of the poverty line can receive tax credits that will help them pay for health coverage in the new health insurance exchanges. We welcome your feedback as we continue to research and improve our estimation methods. The SAHIE program's age model methodology and estimates have undergone internal U.S. Census Bureau review as well as external review. See the SAHIE Methodological Review page for more details and a summary of the comments and our response. The SAHIE program models health insurance coverage by combining survey data from several sources, including: •The American Community Survey (ACS) •Demographic population estimates •Aggregated federal tax returns •Participation records for the Supplemental Nutrition Assistance Program (SNAP), formerly known as the Food Stamp program •County Business Patterns •Medicaid •Children's Health Insurance Program (CHIP) participation records •Census 2010 Margin of error (MOE). Some ACS products provide an MOE instead of confidence intervals. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.

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    Feed The Future Uganda Population-Based Survey, Women's Empowerment in Agriculture Index-Household File

    data.usaid.gov | Last Updated 2018-11-11T02:38:29.000Z

    The Uganda Population-Based Survey (PBS) provides a comprehensive assessment of the current status of agriculture and food security in 38 districts across eight regions of the country. The PBS was conducted from October 25 to December 30, 2012. The overall objective of the survey is to provide baseline data on living standards, nutritional status, and women's empowerment in agriculture in the Zone Of Influence. This dataset is the second of two datasets needed to calculate the Women's Empowerment in Agriculture Index-related measures.

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    Feed the Future Malawi: Baseline Household Survey, Household Data Used for the Women's Empowerment in Agriculture Index

    data.usaid.gov | Last Updated 2018-11-11T02:33:19.000Z

    This dataset describes data about the households that participated in this baseline survey collected for the express purpose of calculating the Women's Empowerment in Agriculture Index (WEAI). The spreadsheet has 233 columns and 4,880 rows. The Malawi Population-Based Survey (PBS) provides a comprehensive assessment of the current status of agriculture and food security in seven districts in the Central and Southern Regions: Mchinji, Lilongwe, Dedza, Ntcheu, Balaka, Machinga, and Mangochi. The PBS was conducted from November 14 to December 22, 2012. The overall objective of the survey is to provide baseline on data living standards, nutritional status, and women's empowerment in agriculture in the Zone Of Influence. A total of 3,397 households in the ZOI were interviewed for the PBS, and these households were spread across 126 rural standard enumeration areas (SEAs) in the seven districts.