{"@type": "dcat:Dataset", "accessLevel": "public", "contactPoint": {"@type": "vcard:Contact", "fn": "Western Pennsylvania Regional Data Center", "hasEmail": "mailto:wprdc@pitt.edu"}, "description": "Miscellaneous Reports from the 2015 American Community Survey Report", "distribution": [{"@type": "dcat:Distribution", "description": "Aggregate household income in the past 12 months, in 2015 Inflation-Adjusted Dollars.\r\n\r\nAggregate income is the sum of all incomes for a particular universe. Aggregate income is subject to rounding, which means that all cells in a matrix are rounded\r\nto the nearest hundred dollars.", "downloadURL": "https://data.wprdc.org/dataset/5b18c198-474c-4723-b735-cc5220ad43cc/resource/34842307-0da6-458a-9df3-a09ab3e3a489/download/aggregate-household-income-in-the-past-12-months-in-2015-inflation-adjusted-dollars.csv", "format": "CSV", "mediaType": "text/csv", "title": "Aggregate Household Income in the Past 12 Months"}, {"@type": "dcat:Distribution", "description": "In 2015, data on health insurance coverage were derived from answers to Question 16 in the American Community Survey (ACS), which was asked of all respondents. Respondents were instructed to report their current coverage and to mark \u201cyes\u201d or \u201cno\u201d for each of the eight types listed (labeled as parts 16a to 16h).\r\n\r\na. Insurance through a current or former employer or union (of this person or another family member)\r\n\r\nb. Insurance purchased directly from an insurance company (by this person or\r\nanother family member)\r\n\r\nc. Medicare, for people 65 and older, or people with certain disabilities\r\n\r\nd. Medicaid, Medical Assistance, or any kind of government-assistance plan for\r\nthose with low incomes or a disability\r\n\r\ne. TRICARE or other military health care\r\n\r\nf. VA (including those who have ever used or enrolled for VA health care)\r\n\r\ng. Indian Health Service\r\n\r\nh. Any other type of health insurance or health coverage plan\r\nRespondents who answered \u201cyes\u201d to question 16h were asked to provide their other type of coverage type in a write-in field.\r\n\r\nHealth insurance coverage in the ACS and other Census Bureau surveys define coverage to include plans and programs that provide comprehensive health coverage. Plans that provide insurance for specific conditions or situations such as cancer and long-term care policies are not considered coverage. Likewise, other types of insurance like dental, vision, life, and disability insurance are not considered health insurance coverage.\r\n\r\nIn defining types of coverage, write-in responses were reclassified into one of the first seven types of coverage or determined not to be a coverage type. Write-in responses that referenced the coverage of a family member were edited to assign coverage based on responses from other family members. As a result, only the first seven types of health coverage are included in the microdata file.\r\n\r\nAn eligibility edit was applied to give Medicaid, Medicare, and TRICARE coverage to individuals based on program eligibility rules. TRICARE or other military health care was given to active-duty military personnel and their spouses and children. Medicaid or other means-tested public coverage was given to foster children, certain individuals receiving Supplementary Security Income or Public Assistance, and the spouses and children of certain Medicaid beneficiaries. Medicare coverage was given to people 65 and older who received Social Security or Medicaid benefits.\r\n\r\nPeople were considered insured if they reported at least one \u201cyes\u201d to Questions 16a to 16f. People who had no reported health coverage, or those whose only health coverage was Indian Health Service, were considered uninsured. For reporting purposes, the Census Bureau broadly classifies health insurance coverage as private health insurance or public coverage. Private health insurance is a plan provided through an employer or union, a plan purchased\r\nby an individual from a private company, or TRICARE or other military health care. Respondents reporting a \u201cyes\u201d to the types listed in parts a, b, or e were considered to have private health insurance. Public health coverage includes the federal programs Medicare, Medicaid, and VA Health Care (provided through the Department of Veterans Affairs); the Children\u2019s Health Insurance Program (CHIP); and individual state health plans. Respondents reporting a \u201cyes\u201d to the types listed in c, d, or f were considered to have public coverage. The types of health insurance are not mutually exclusive; people may be covered by more than one at the same time.\r\n\r\nThe U.S. Department of Health and Human Services, as well as other federal agencies, use data on health insurance coverage to more accurately distribute resources and better understand state and local health insurance needs.", "downloadURL": "https://data.wprdc.org/dataset/5b18c198-474c-4723-b735-cc5220ad43cc/resource/c9fd5859-ed34-4151-a13e-d7a25839f4d3/download/types-of-health-insurance-coverage-by-age.csv", "format": "CSV", "mediaType": "text/csv", "title": "Types of Health Insurance Coverage, By Age"}, {"@type": "dcat:Distribution", "description": "The data on contract rent (also referred to as \"rent asked\" for vacant units) were obtained from questionnaire item H24, which was asked at all occupied housing units that were rented for cash rent and all vacant housing units that were for rent at the time of interview.\r\n\r\nHousing units that are renter occupied without payment of cash rent are not part of the universe for contract rent. The unit may be owned by friends or relatives who live elsewhere and who allow occupancy without charge. Rent-free houses or apartments may be provided to compensate caretakers, ministers, tenant farmers, sharecroppers, or others.\r\n\r\nContract rent is the monthly rent agreed to or contracted for, regardless of any furnishings, utilities, fees, meals, or services that may be included. For vacant units, it is the monthly rent asked for the rental unit at the time of interview.\r\n\r\nIn the tabulations, contract rent is only presented for specified renter-occupied units paying cash rent. Specified renter-occupied units exclude one-family houses on 10 or more acres.", "downloadURL": "https://data.wprdc.org/dataset/5b18c198-474c-4723-b735-cc5220ad43cc/resource/dbf449e2-e8a1-41ce-941e-3b95041fd00c/download/contract-rent.csv", "format": "CSV", "mediaType": "text/csv", "title": "Contract Rent"}, {"@type": "dcat:Distribution", "description": "\u201cMortgage\u201d refers to all forms of debt where the property is pledged as security for\r\nrepayment of the debt, including deeds of trust; trust deeds; contracts to purchase; land contracts; junior mortgages; and home equity loans.\r\n\r\nA mortgage is considered a first mortgage if it has prior claim over any other mortgage or if it is the only mortgage on the property. All other mortgages (second, third, etc.) are considered junior mortgages. A home equity loan is generally a junior mortgage. If no first mortgage is reported, but a junior mortgage or home equity loan is reported, then the loan is considered a first mortgage.\r\n\r\nIn most data products, the tabulations for \u201cSelected Monthly Owner Costs\u201d and \u201cSelected Monthly Owner Costs as a Percentage of Household Income\u201d usually are shown separately for units \u201cwith a mortgage\u201d and for units \u201cnot mortgaged.\u201d The category \u201cnot mortgaged\u201d is comprised of housing units owned free and clear of debt.", "downloadURL": "https://data.wprdc.org/dataset/5b18c198-474c-4723-b735-cc5220ad43cc/resource/c93e8aca-7772-4775-bcd4-da10354cd1cc/download/mortgage-status.csv", "format": "CSV", "mediaType": "text/csv", "title": "Mortgage Status"}, {"@type": "dcat:Distribution", "description": "The data on value (also referred to as \u201cprice asked\u201d for vacant units) were obtained from Housing Question 19 in the 2015 American Community Survey (ACS). The question was asked at housing units that were owned, being bought, vacant for sale, or sold not occupied at the time of the survey. Value is the respondent's estimate of how much the property (house and lot, mobile home and lot (if lot owned), or condominium unit) would sell for if it were for sale. If the house was owned or being bought, but the land on which it sits was not, the\r\nrespondent was asked to estimate the combined value of the house and the land. \r\n\r\nFor vacant units, value was the price asked for the property. Value was tabulated separately for all owner-occupied and vacant-for-sale housing units, as well as owner-occupied and vacant-for sale mobile homes.\r\n\r\nThe value of a home provides information on neighborhood quality, housing affordability, and wealth. These data provide socioeconomic information not captured by household income and comparative information on the state of local housing markets. The data also serve to aid in the development of housing programs designed to meet the housing needs of persons at different economic levels.\r\n\r\nMedian and Quartile Value \u2013 The median divides the value distribution into two equal parts: one-half of the cases falling below the median value of the property (house and lot, mobile home and lot (if lot owned), or condominium unit) and one-half above the median.\r\n\r\nQuartiles divide the value distribution into four equal parts. Median and quartile value are computed on the basis of a standard distribution. Median and quartile value calculations are rounded to the nearest hundred dollars. Upper and lower quartiles can be used to note large value differences among various geographic areas. \r\n\r\nAggregate Value \u2013Aggregate value is calculated by adding all of the value estimates for owner occupied housing units in an area. Aggregate value is rounded to the nearest hundred\r\ndollars. \r\n\r\nQuestion/Concept History \u2013 The 1996-1998 ACS question provided a space for the respondent to enter a dollar amount. From 1999-2007 the question provided 19 pre-coded response categories from \u201cLess than $10,000\u201d to \u201c$250,000 or more \u2013 Specify.\u201d\r\n\r\nStarting in 2004, value was shown for all owner-occupied housing units, unlike from 1996-2003 in which value was shown only for specified owner-occupied housing units. Changes introduced in 2008 were removing the pre-coded response categories and adding a write-in box for the respondent to enter the property value amount in dollars, and revising the wording of the question to ask, \u201cAbout how much do you think this house and lot, apartment, or mobile\r\nhome (and lot, if owned) would sell for if it were for sale?\u201d\r\n\r\nLimitation of the Data \u2013 The Census Bureau tested the changes introduced to the 2008 version of the value question in the 2006 ACS Content Test. The results of this testing show that the changes may introduce an inconsistency in the data produced for this question as observed from the years 2007 to 2008. For more information, see \u201cEvaluation Report Covering Property Value\u201d from the 2006 ACS Content Test. Go to http://www.census.gov and enter \u201c2006 ACS Content Test Evaluation Report Covering Property Value\u201d in the search box.\r\n\r\nComparability \u2013 Caution should be used when comparing ACS data on value from the years 2008 and after with pre-2008 ACS data. Changes made to the value question between the 2007 and 2008 ACS involving the response option may have resulted in an inconsistency in the value distribution for some areas. In 2007 and previous years, the ACS value question included categorical response options with a write-in for values over $250,000. Beginning in 2008, the response option became solely a write-in.\r\n\r\nCaution also should be used when comparing value data from the ACS produced in 2008 or later with Census 2000 value data. The 2008 or later ACS provides solely a write-in response option while Census 2000 collected data in categories. Additionally, Census 2000 tables on value were released for both total owner-occupied housing units and specified owner-occupied housing units, thus comparisons can be made only when comparing the same universes between the two data sets", "downloadURL": "https://data.wprdc.org/dataset/5b18c198-474c-4723-b735-cc5220ad43cc/resource/13982f58-e618-400c-8f69-6a32dbd7c68f/download/value.csv", "format": "CSV", "mediaType": "text/csv", "title": "Housing Unit Value"}, {"@type": "dcat:Distribution", "description": "Wage or salary income includes total money earnings received for work performed as an employee during the past 12 months. It includes wages, salary, Armed Forces pay, commissions, tips, piece-rate payments, and cash bonuses earned before deductions were made for taxes, bonds, pensions, union dues, etc.", "downloadURL": "https://data.wprdc.org/dataset/5b18c198-474c-4723-b735-cc5220ad43cc/resource/d159c6b3-f70a-439b-bd2b-0cb8735d76d4/download/wage-or-salary-income-in-the-past-12-months-for-households.csv", "format": "CSV", "mediaType": "text/csv", "title": "Wage or Salary Income in the Past 12 Months for Households"}, {"@type": "dcat:Distribution", "description": "Self-employment income: Self-employment income includes both farm and non-farm self-employment income. \r\n\r\nFarm self-employment income includes net money income (gross receipts minus operating expenses) from the operation of a farm by a person on his or her own account, as an owner, renter, or sharecropper. Gross receipts include the value of all products sold, government farm programs, money received from the rental of farm equipment to others, and incidental receipts from the sale of wood, sand, gravel, etc. Operating expenses include cost of feed, fertilizer, seed, and other farming supplies, cash wages paid to farmhands, depreciation charges, rent, interest on farm mortgages, farm building repairs, farm taxes (not state and\r\nfederal personal income taxes), etc. The value of fuel, food, or other farm products used for family living is not included as part of net income.\r\n\r\nNon-farm self-employment income includes net money income (gross receipts minus expenses) from one\u2019s own business, professional enterprise, or partnership. \r\n\r\nGross receipts include the value of all goods sold and services rendered. Expenses include costs of goods purchased, rent, heat, light, power, depreciation charges, wages and salaries paid, business taxes (not personal income taxes), etc.", "downloadURL": "https://data.wprdc.org/dataset/5b18c198-474c-4723-b735-cc5220ad43cc/resource/b05ce3bf-1e82-40c8-a8fd-e6160bc0d224/download/self-employment-income-in-the-past-12-months-for-households.csv", "format": "CSV", "mediaType": "text/csv", "title": "Self-Employment Income in the Past 12 Months for Households"}, {"@type": "dcat:Distribution", "description": "Public assistance income: Public assistance income includes general assistance and Temporary Assistance to Needy Families (TANF). Separate payments received for hospital or other medical care (vendor payments) are excluded. This does not include Supplemental Security Income (SSI) or noncash benefits such as Food Stamps. The terms \u201cpublic assistance income\u201d and \u201ccash public assistance\u201d are used interchangeably in the 2015 ACS data products.", "downloadURL": "https://data.wprdc.org/dataset/5b18c198-474c-4723-b735-cc5220ad43cc/resource/8abaf092-75e7-44f7-90ee-82895f07a4b5/download/public-assistance-income-in-the-past-12-months-for-households.csv", "format": "CSV", "mediaType": "text/csv", "title": "Public Assistance Income in the Past 12 Months for Households"}, {"@type": "dcat:Distribution", "description": "Retirement, survivor, or disability income: Retirement, survivor, or disability income\r\nincludes (1) regular income from a company pension, union pension, Federal government pension, state government pension, local government pension, U.S. military pension, U.S. Railroad pension, KEOGH retirement plan, SEP (Simplified Employee Pension) or any other type of pension, retirement account or annuity such as IRA, ROTH IRA, 401(k) or 403(b); (2) survivor income which is paid to spouses or children of a deceased person; (3) regular income from a disability pension paid to those who are unable to work due to a disability from companies or unions; federal, state, or local government; and the U.S. military.\r\n\r\nDoes not include Social Security or income that is \"rolled over\" or reinvested in another retirement account.", "downloadURL": "https://data.wprdc.org/dataset/5b18c198-474c-4723-b735-cc5220ad43cc/resource/6170581e-033d-4791-8c92-5cfb63aef830/download/retirement-income-in-the-past-12-months-for-households.csv", "format": "CSV", "mediaType": "text/csv", "title": "Retirement Income in the Past 12 Months for Households"}, {"@type": "dcat:Distribution", "description": "Social Security income includes Social Security pensions and survivor benefits, permanent disability insurance payments made by the Social Security Administration prior to deductions for medical insurance, and railroad retirement insurance checks from the U.S. government. Medicare reimbursements are not included.", "downloadURL": "https://data.wprdc.org/dataset/5b18c198-474c-4723-b735-cc5220ad43cc/resource/fcef40df-757c-4487-b9e4-aa8724577d4b/download/social-security-income-in-the-past-12-months-for-households.csv", "format": "CSV", "mediaType": "text/csv", "title": "Social Security Income in the Past 12 Months for Households"}, {"@type": "dcat:Distribution", "description": "Social Security income includes Social Security pensions and survivor benefits, permanent disability insurance payments made by the Social Security Administration prior to deductions for medical insurance, and railroad retirement insurance checks from the U.S. government. Medicare reimbursements are not included.", "downloadURL": "https://data.wprdc.org/dataset/5b18c198-474c-4723-b735-cc5220ad43cc/resource/a071ae20-0510-4e3d-b388-c79ac5200c5a/download/social-security-income-in-the-past-12-months-for-households.csv", "format": "CSV", "mediaType": "text/csv", "title": "Social Security Income in the Past 12 Months for Households"}, {"@type": "dcat:Distribution", "description": "Supplemental Security Income (SSI): Supplemental Security Income (SSI) is a\r\nnationwide U.S. assistance program administered by the Social Security Administration that guarantees a minimum level of income for needy aged, blind, or disabled individuals. The Puerto Rico Community Survey questionnaire asks about the receipt of SSI; however, SSI is not a federally-administered program in Puerto Rico. Therefore, it is probably not being interpreted by most respondents in the same manner as SSI in the United States. The only way a resident of Puerto Rico could have appropriately reported SSI would have been if they lived in the United States at any time during the past 12-month reference period and received SSI.", "downloadURL": "https://data.wprdc.org/dataset/5b18c198-474c-4723-b735-cc5220ad43cc/resource/96c903c5-3f5d-491d-8df3-c8b77351a055/download/supplemental-security-income-ssi-in-the-past-12-months-for-households.csv", "format": "CSV", "mediaType": "text/csv", "title": "Supplemental Security Income (SSI) in the Past 12 Months for Households"}, {"@type": "dcat:Distribution", "description": "Industry data describe the kind of business conducted by a person\u2019s employing organization. Industry data were derived from answers to questions 42 through 44 in the 2015 American Community Survey (ACS). Question 42 asks: \u201cFor whom did this person work?\u201d Question 43 asks: \u201cWhat kind of business or industry was this?\u201d Question 44 provides four checkboxes from which respondents are to select one to indicate whether the business was primarily manufacturing, wholesale trade, retail trade, or other (agriculture, construction, service, government, etc.).\r\n\r\nThese questions were asked of all people 15 years old and over who had worked in the past 5 years. For employed people, the data refer to the person\u2019s job during the previous week. For those who worked two or more jobs, the data refer to the job where the person worked the greatest number of hours. For unemployed people and people who are not currently employed but report having a job within the last five years, the data refer to their last job.", "downloadURL": "https://data.wprdc.org/dataset/5b18c198-474c-4723-b735-cc5220ad43cc/resource/71ae8915-e138-482e-a421-4cb287423e3f/download/sex-by-industry-for-the-civilian-employed-population-16-years-and-over.csv", "format": "CSV", "mediaType": "text/csv", "title": "Sex by Industry for the Civilian Employed Population 16 Years or Older"}, {"@type": "dcat:Distribution", "description": "This includes the income of the householder and all other individuals 15 years old and over in the household, whether they are related to the householder or not. Because many households consist of only one person, average household income is usually less than average family income. Although the household income statistics cover the past 12 months, the characteristics of individuals and the composition of households refer to the time of interview. Thus, the income of the household does not include amounts received by individuals who were members of the household during all or part of the past 12 months if these individuals no longer resided in the household at the time of interview. Similarly, income amounts reported by individuals who did not reside in the household during the past 12 months but who were members of the household at the time of interview are included. However, the composition of most households was the same during\r\nthe past 12 months as at the time of interview.", "downloadURL": "https://data.wprdc.org/dataset/5b18c198-474c-4723-b735-cc5220ad43cc/resource/b119be7e-1c70-4bbe-bf34-2056fef533ec/download/household-income-in-the-past-12-months-in-2015-inflation-adjusted-dollars.csv", "format": "CSV", "mediaType": "text/csv", "title": "Household Income in the Past 12 Months (in 2015 Inflation-Adjusted Dollars)"}, {"@type": "dcat:Distribution", "description": "Educational attainment data are needed for use in assessing the socioeconomic condition of the U.S. population. Government agencies also require these data for funding allocations and program planning and implementation. These data are needed to determine the extent of illiteracy rates of citizens in language minorities in order to meet statutory requirements under the Voting Rights Act. \r\n\r\nBased on data about educational attainment, school districts are allocated funds to provide classes in basic skills to adults who have not completed high school.\r\n\r\nData on educational attainment were derived from answers to Question 11 on the 2015 ACS, which was asked of all respondents. Educational attainment data are tabulated for people 18 years old and over. Respondents are classified according to the highest degree or the highest level of school completed. The question included instructions for persons currently enrolled in school to report the level of the previous grade attended or the highest degree received.\r\n\r\nThe educational attainment question included a response category that allowed people to report completing the 12th grade without receiving a high school diploma. Respondents who received a regular high school diploma and did not attend college were instructed to report \u201cRegular high school diploma.\u201d Respondents who received the equivalent of a high school diploma (for example, passed the test of General Educational Development (G.E.D.)), and did not attend college, were instructed to report \u201cGED or alternative credential.\u201d \u201cSome\r\ncollege\u201d is in two categories: \u201cSome college credit, but less than 1 year of college credit\u201d and \u201c1 or more years of college credit, no degree.\u201d The category \u201cAssociate\u2019s degree\u201d included people whose highest degree is an associate\u2019s degree, which generally requires 2 years of college level work and is either in an occupational program that prepares them for a specific occupation, or an academic program primarily in the arts and sciences. The course\r\nwork may or may not be transferable to a bachelor\u2019s degree.\r\n\r\nMaster\u2019s degrees include the traditional MA and MS degrees and field-specific degrees, such as MSW, MEd, MBA, MLS, and MEng. Instructions included in the respondent instruction guide for mailout/mailback respondents only provided the following examples of professional school degrees: medicine, dentistry, chiropractic, optometry, osteopathic medicine, pharmacy, podiatry, veterinary \r\nmedicine, law, and theology. The order in which degrees were listed suggested that doctorate degrees were \u201chigher\u201d than professional school degrees, which were \u201chigher\u201d than master's degrees. If more than one box was filled, the response was edited to the highest level or degree reported.\r\n\r\nThe instructions further specified that schooling completed in foreign or ungraded school systems should be reported as the equivalent level of schooling in the regular American system. The instructions specified that certificates or diplomas for training in specific trades or from vocational, technical or business schools were not to be reported. Honorary degrees awarded for a respondent's accomplishments were not to be reported.\r\n\r\nHigh School Graduate or Higher \u2013 This category includes people whose highest degree was a high school diploma or its equivalent, people who attended college but did not receive a degree, and people who received an associate\u2019s, bachelor\u2019s, master\u2019s, or professional or doctorate degree. People who reported completing the 12th grade but not receiving a diploma are not included.\r\n\r\nNot Enrolled, Not High School Graduate \u2013 This category includes people of compulsory school attendance age or above who were not enrolled in school and were not high school graduates. These people may be referred to as \u201chigh school dropouts.\u201d There is no restriction on when they \u201cdropped out\u201d of school; therefore, they may have dropped out before high school and never attended high school.\r\n\r\nQuestion/Concept History \u2013 Since 1999, the ACS question does not have the response category for \u201cVocational, technical, or business school degree\u201d that the 1996-1998 ACS question had. Starting in 1999, the ACS question had two categories for some college: \u201cSome college credit, but less than 1 year\u201d and \u201c1 or more years of college, no degree.\u201d The 1996-1998 ACS question had one category: \u201cSome college but no degree.\u201d In the 1996-1998 ACS, the educational attainment question was used to estimate level of enrollment. Since 1999, a question regarding grade of enrollment was included.\r\n\r\nThe 1999-2007 ACS attainment question grouped grade categories below high school into the following three categories: \u201cNursery school to 4th grade,\u201d \u201c5th grade or 6th grade,\u201d and \u201c7th grade or 8th grade.\u201d The 1996-1998 ACS question allowed a write-in for highest grade completed for grades 1-11 in addition to \u201cNursery or preschool\u201d and \u201cKindergarten.\u201d\r\n\r\nBeginning in 2008, the ACS attainment question was changed to the following categories for levels up to Grade 12, no diploma: \u201cNursery school,\u201d \u201cKindergarten,\u201d \u201cGrade 1 through grade 11,\u201d and \u201c12th grade, no diploma.\u201d The survey question allowed a write-in for the highest grade completed for grades 1-11. In addition, the category that was previously \u201cHigh school graduate (including GED)\u201d was broken into two categories: \u201cRegular high school diploma\u201d and \u201cGED or alternative credential.\u201d The term \u201ccredit\u201d for the two some college categories was emphasized. The phrase \u201cbeyond a bachelor\u2019s degree\u201d was added to the professional degree category.\r\n\r\nLimitation of the Data \u2013 Beginning in 2006, the population in group quarters (GQ) was included in the ACS. Some types of GQ populations may have educational attainment distributions that are different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on the educational attainment distribution. This is particularly true for areas with a substantial GQ population.\r\n\r\nThe Census Bureau tested the changes introduced to the 2008 version of the educational attainment question in the 2006 ACS Content Test. The results of this testing show that the changes may introduce an inconsistency in the data produced for this question as observed from the years 2007 to 2008. For more information, see \u201cEvaluation Report Covering Educational Attainment\u201d from the 2006 ACS Content Test. Go to http://www.census.gov and enter \u201c2006 ACS Content Test Evaluation Report Covering Educational Attainment\u201d in the\r\nsearch box.\r\n\r\nComparability \u2013 New questions were added to the 2008 ACS Computer-Assisted Telephone Interview (CATI) and Computer-Assisted Personal Interview (CAPI) instruments. Respondents who received a high school diploma, GED or equivalent also were asked if they had completed any college credit. Therefore, data users may notice a decrease in the number of high school graduates relative to previous years because those people are now being captured in the \u201cSome college credit, but less than 1 year of college credit\u201d or \u201c1 or more\r\nyears of college credit, no degree\u201d categories. For more information, see \u201cEvaluation Report Covering Educational Attainment\u201d from the 2006 ACS Content Test. Go to http://www.census.gov and enter \u201c2006 ACS Content Test Evaluation Report Covering Educational Attainment\u201d in the search box.\r\n\r\nData about educational attainment also are collected from the decennial Census and from the Current Population Survey (CPS). ACS data is generally comparable to data from the Census. For more information about the comparability of ACS and CPS data, please see the Educational Attainment Fact Sheet at http://www.census.gov/hhes/socdemo/education/data/factsheet.html. \r\n\r\nMore information about the comparability of ACS and CPS data can also be found in the paper \u201cComparison of ACS and ASEC Data on Educational Attainment: 2004\u201d on the ACS website. Go to http://www.census.gov and enter the paper title in the search box.", "downloadURL": "https://data.wprdc.org/dataset/5b18c198-474c-4723-b735-cc5220ad43cc/resource/12535b2e-6180-4cdf-b7d8-ec5294259e49/download/educational-attainment-for-the-population-25-years-and-over.csv", "format": "CSV", "mediaType": "text/csv", "title": "Educational Attainment for the Population 25 Years and Over"}, {"@type": "dcat:Distribution", "description": "School enrollment data are used to assess the socioeconomic condition of school-age children. Government agencies also require these data for funding allocations and program planning and implementation.\r\n\r\nData on school enrollment and grade or level attending were derived from answers to Question 10 in the 2015 American Community Survey (ACS). People were classified as enrolled in school if they were attending a public or private school or college at any time during the 3 months prior to the time of interview. The question included instructions to \u201cinclude only nursery or preschool, kindergarten, elementary school, home school, and schooling which leads to a high school diploma, or a college degree.\u201d Respondents who did not answer the enrollment question were assigned the enrollment status and type of school of\r\na person with the same age, sex, race, and Hispanic or Latino origin whose residence was in the same or nearby area.\r\n\r\nSchool enrollment is only recorded if the schooling advances a person toward an elementary school certificate, a high school diploma, or a college, university, or professional school (such as law or medicine) degree. Tutoring or correspondence schools are included if credit can be obtained from a public or private school or college. People enrolled in \u201cvocational, technical, or business school\u201d such as post secondary vocational, trade, hospital school, and on job training were not reported as enrolled in school. Field interviewers were instructed to classify individuals who were home schooled as enrolled in private school. The guide sent out with the mail questionnaire includes instructions for how to classify home schoolers.", "downloadURL": "https://data.wprdc.org/dataset/5b18c198-474c-4723-b735-cc5220ad43cc/resource/ffdc8709-2428-4952-b345-e0936ba90d40/download/sex-by-school-enrollment-by-educational-attainment-by-employment-status-for-the-population-16-to.csv", "format": "CSV", "mediaType": "text/csv", "title": "Sex by School Enrollment by Educational Attainment by Employment Status for the Population 16 - 19 Years"}, {"@type": "dcat:Distribution", "description": "The data on race were derived from answers to the question on race that was asked of all people (Question 6 in the 2015 American Community Survey (ACS)). The U.S. Census Bureau collects race data in accordance with guidelines provided by the U.S. Office of Management and Budget (OMB), and these data are based on self-identification. The racial categories included in the census questionnaire generally reflect a social definition of race recognized in this country and not an attempt to define race biologically, anthropologically, or genetically. In addition, it is recognized that the categories of the race item include racial and national origin or sociocultural groups. People may choose to report more than one race to indicate their racial mixture, such as \u201cAmerican Indian\u201d and \u201cWhite.\u201d People who identify their origin as Hispanic, Latino, or Spanish may be of any race.\r\n\r\nThe racial classifications used by the Census Bureau adhere to the October 30, 1997, Federal Register notice entitled, \u201cRevisions to the Standards for the Classification of Federal Data on Race and Ethnicity\u201d issued by OMB. These standards govern the categories used to collect and present federal data on race and ethnicity. OMB requires five minimum categories (White, Black or African American, American Indian or Alaska Native, Asian, and Native Hawaiian or Other Pacific Islander) for race. The race categories are described below with a\r\nsixth category, \u201cSome Other Race,\u201d added with OMB approval. In addition to the five race groups, OMB also states that respondents should be offered the option of selecting one or more races.\r\n\r\nIf an individual did not provide a race response, the race or races of the householder or other household members were imputed using specific rules of precedence of household relationship. For example, if race was missing for a natural-born child in the household, then either the race or races of the householder, another natural-born child, or spouse of the householder were imputed. If race was not reported for anyone in the household, then the race or races of a householder\r\nin a previously processed household were imputed.\r\n\r\nThe concept \u201crace alone\u201d includes people who reported a single entry (i.e., Korean) and no other race, as well as people who reported two or more entries within the same major race group (i.e., Asian). For example, respondents who reported Korean and Vietnamese are part of the larger \u201cAsian alone\u201d race group.\r\n\r\nComparability \u2013 The data on race in the 2015 ACS are not directly comparable across all years. Ongoing research conducted following the 1990 Census affected the ACS question on race since its inception in 1996. Also, the October 1997 revised standards for federal data on race and ethnicity issued by the OMB led to changes in the question on race for Census 2000.\r\n\r\nConsequently, in order to achieve consistency, other census-administered surveys such as the ACS were modified to reflect changes required by OMB. The 2010 Census and ACS data collections continue to follow the 1997 OMB Standards.\r\n\r\nFor more information, see the Race Code List found within the 2015 ACS Code List. Go to http://www.census.gov and enter \u201cACS Code Lists, Definitions, and Accuracy\u201d in the search box.", "downloadURL": "https://data.wprdc.org/dataset/5b18c198-474c-4723-b735-cc5220ad43cc/resource/033b72af-7990-45dd-a590-b0c57a657db3/download/race.csv", "format": "CSV", "mediaType": "text/csv", "title": "Race"}, {"@type": "dcat:Distribution", "description": "The data on sex were derived from answers to Question 3 in the 2015 American Community Survey (ACS). Individuals were asked to mark either \u201cmale\u201d or \u201cfemale\u201d to indicate their biological sex. For most cases in which sex was invalid, the appropriate entry was determined from other information provided for that person, such as the person\u2019s given (i.e., first) name and household relationship. Otherwise, sex was allocated from a hot deck.\r\n\r\nSex is asked for all persons in a household or group quarters. On the mailout/mailback paper questionnaire for households, sex is asked for all persons listed on the form. This form accommodates asking sex for up to 12 people listed as living or residing in the household for at least 2 months. If a respondent indicates that more people are listed as part of the total persons living in the household than the form can accommodate, or if any person included on the form is missing sex, then the household is eligible for Failed Edit Follow-up (FEFU).\r\n\r\nDuring FEFU operations, telephone center staffers call respondents to obtain missing data.This includes asking sex for any person in the household missing sex information. In Computer-Assisted Telephone Interviews (CATI) and Computer-Assisted Personal Interview (CAPI) instruments, sex is asked for all persons. In 2006, the ACS began collecting data in group quarters (GQs). This included asking sex for persons living in a group quarters. For additional data collection methodology, please see http://www.census.gov and enter \u201cACS Methodology\u201d in the search box.\r\n\r\nData on sex are used to determine the applicability of other questions for a particular individual and to classify other characteristics in tabulations. The sex data collected on the forms are aggregated and provide the number of males and females in the population. These data are needed to interpret most social and economic characteristics used to plan and analyze programs and policies. Data about sex are critical because so many federal programs must differentiate between males and females. \r\n\r\nThe U.S. Departments of Education and Health and Human Services are required by statute to use these data to fund, implement, and evaluate various social and welfare programs, such as the Special Supplemental Food Program for Women, Infants, and Children (WIC) or the Low-Income Home Energy Assistance Program (LIHEAP). Laws to promote equal employment opportunity for women also require census data on sex. The U.S. Department of Veterans Affairs must use census data to develop its state projections of veterans\u2019 facilities and benefits. For more information on the use of sex data in Federal programs, please see http://www.census.gov and enter \u201cACS Handbook of Questions and Current Federal Uses\u201d in the search box.\r\n\r\nSex Ratio \u2013 The sex ratio represents the balance between the male and female populations. Ratios above 100 indicate a larger male population, and ratios below 100 indicate a larger female population. This measure is derived by dividing the total number of males by the total number of females and then multiplying by 100. It is rounded to the nearest tenth.", "downloadURL": "https://data.wprdc.org/dataset/5b18c198-474c-4723-b735-cc5220ad43cc/resource/c6707c65-a904-43b9-a933-3600f79aaa3b/download/sex-by-age.csv", "format": "CSV", "mediaType": "text/csv", "title": "Sex by Age"}, {"@type": "dcat:Distribution", "description": "A housing unit may be a house, an apartment, a mobile home, a group of rooms or a single room that is occupied (or, if vacant, intended for occupancy) as separate living quarters. Separate living quarters are those in which the occupants live separately from any other individuals in the building and which have direct access from outside the building or through a common hall. For vacant units, the criteria of separateness and direct access are applied to\r\nthe intended occupants whenever possible. If that information cannot be obtained, the criteria are applied to the previous occupants. Both occupied and vacant housing units are included in the housing unit inventory. \r\n\r\nBoats,recreational vehicles (RVs), vans, tents, railroad cars, and the like are included only if they are occupied as someone's current place of residence. Vacant mobile homes are included provided they are intended for occupancy on the site where they stand. Vacant mobile homes on dealers' sales lots, at the factory, or in storage yards are excluded from the housing inventory. Also excluded from the housing inventory are quarters being used entirely for\r\nnonresidential purposes, such as a store or an office, or quarters used for the storage of business supplies or inventory, machinery, or agricultural products.\r\n\r\nHousing units are distinct from Group Quarters (GQs). GQs are places where people live or stay in a group living arrangement that is owned or managed by an entity or organization providing housing and/or services for the residents. These services may include custodial or medical care, as well as other types of assistance, and residency is commonly restricted to those receiving these services. People living in GQs usually are not related to each other. GQs include such places as college residence halls, residential treatment centers, skilled nursing facilities, group homes, military barracks, correctional facilities, workers\u2019 dormitories, and facilities for people experiencing homelessness. GQs are defined according to the housing and/or services provided to residents and are identified by Census GQ type codes.\r\n\r\nOccupied Housing Unit \u2013 A housing unit is classified as occupied if it is the current place of residence of the person or group of people living in it at the time of interview, or if the occupants are only temporarily absent from the residence for two months or less, that is, away on vacation or a business trip. If all the people staying in the unit at the time of the interview are staying there for two months or less, the unit is considered to be temporarily occupied and classified as \u201cvacant.\u201d The occupants may be a single family, one person living\r\nalone, two or more families living together, or any other group of related or unrelated people who share living quarters. The living quarters occupied by staff personnel within any group quarters are separate housing units if they satisfy the housing unit criteria of separateness and direct access; otherwise, they are considered group quarters.\r\n\r\nOccupied rooms or suites of rooms in hotels, motels, and similar places are classified as housing units only when occupied by permanent residents, that is, people who consider the hotel as their current place of residence or have no current place of residence elsewhere. If any of the occupants in rooming or boarding houses, congregate housing, or continuing care facilities live separately from others in the building and have direct access, their quarters are\r\nclassified as separate housing units. \r\n\r\nVacant Housing Unit \u2013 A housing unit is vacant if no one is living in it at the time of interview. Units occupied at the time of interview entirely by persons who are staying two months or less and who have a more permanent residence elsewhere are considered to be temporarily occupied, and are classified as \u201cvacant.\u201d New units not yet occupied are classified as vacant housing units if construction has reached a point where all exterior windows and doors are installed and final usable floors are in place.\r\n\r\nVacant units are excluded from the housing inventory if they are open to the elements, that is, the roof, walls, windows, and/or doors no longer protect the interior from the elements. Also excluded are vacant units with a sign that they are condemned or they are to be demolished.\r\n\r\nComparability \u2013The ACS estimates of occupied housing units and vacant housing units differ from those obtained from the 2010 Census. For more information, see \u201cComparing 2010 American Community Survey 1-Year Estimates of Occupancy Status, Vacancy Status, and Household Size with the 2010 Census \u2013 Preliminary Results\u201d on the ACS website. Go to http://www.census.gov and enter the paper title in the search box.", "downloadURL": "https://data.wprdc.org/dataset/5b18c198-474c-4723-b735-cc5220ad43cc/resource/41402c24-3cf2-474b-afb5-a3742d500a05/download/housing-units.csv", "format": "CSV", "mediaType": "text/csv", "title": "Housing Units"}, {"@type": "dcat:Distribution", "description": "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.\r\n\r\nWeighting Methodology: The weighting methodology in the 2006 ACS was modified in order to ensure consistent estimates of occupied housing units, households, and householders. For more information on the 2006 weighting methodology changes, see \u201cUser Notes\u201d on the ACS website (http://www.census.gov/programs surveys/acs/technical-documentation/usernotes.html).\r\n\r\nThere were no significant changes to the 2007 or 2008 weighting methodology.\r\nBeginning in 2009, the weighting methodology has changed to include the use of controls for total population for incorporated places and minor civil divisions. For subject definitions from previous years, visit http://www.census.gov and search for \u201cACS Code Lists, Definitions, and Accuracy.\u201d", "downloadURL": "https://data.wprdc.org/dataset/5b18c198-474c-4723-b735-cc5220ad43cc/resource/82f29015-6905-4b1c-8300-afe9bb2231b3/download/total-population.csv", "format": "CSV", "mediaType": "text/csv", "title": "Total Population"}], "identifier": "5b18c198-474c-4723-b735-cc5220ad43cc", "keyword": ["ACS", "American Community Survey", "age", "census", "demographics", "education", "employment", "health insurance", "healthcare", "housing", "income", "mortgage", "population", "public assistance", "race", "rent", "retirement", "salary", "wage"], "modified": "2021-02-04T01:37:56.715513", "publisher": {"@type": "org:Organization", "name": "City of Pittsburgh"}, "theme": ["Demographics"], "title": "Pittsburgh American Community Survey 2015 - Miscellaneous Data"}