Census ZIP Code Tabulation AreasThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Census Bureau, displays ZIP Code Tabulation Areas. Per the USCB, “ZIP Code Tabulation Areas (ZCTAs) are approximate area representations of U.S. Postal Service (USPS) ZIP Code service areas that the Census Bureau creates to present statistical data for each decennial census. Data users should not use ZCTAs to identify the official USPS ZIP Code for mail delivery. The USPS makes periodic changes to ZIP Codes to support more efficient mail delivery.”Tabulation Area: 90069NGDAID: 58 (Series Information for 2020 Census 5-Digit ZIP Code Tabulation Area (ZCTA5) National TIGER/Line Shapefiles, Current)OGC API Features Link: (Census ZIP Code Tabulation Areas - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: ZIP Code Tabulation Areas (ZCTAs)For feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Governmental Units, and Administrative and Statistical Boundaries Theme Community. Per the Federal Geospatial Data Committee (FGDC), this theme is defined as the "boundaries that delineate geographic areas for uses such as governance and the general provision of services (e.g., states, American Indian reservations, counties, cities, towns, etc.), administration and/or for a specific purpose (e.g., congressional districts, school districts, fire districts, Alaska Native Regional Corporations, etc.), and/or provision of statistical data (census tracts, census blocks, metropolitan and micropolitan statistical areas, etc.). Boundaries for these various types of geographic areas are either defined through a documented legal description or through criteria and guidelines. Other boundaries may include international limits, those of federal land ownership, the extent of administrative regions for various federal agencies, as well as the jurisdictional offshore limits of U.S. sovereignty. Boundaries associated solely with natural resources and/or cultural entities are excluded from this theme and are included in the appropriate subject themes."For other NGDA Content: Esri Federal Datasets

Summary File 1 (SF1) Urban/Rural Update contains summary statistics on population and housing subjects derived from the responses to the 2010 Census questionnaire. Population items include sex, age, race, Hispanic or Latino origin, household relationship, household type, household size, family type, family size, and group quarters. Housing items include occupancy status, vacancy status, and tenure (whether a housing unit is owner-occupied or renter-occupied). The summary statistics are presented in 333 tables, which are tabulated for multiple levels of observation (called "summary levels" in the Census Bureau's nomenclature), including, but not limited to, regions, divisions, states, metropolitan/micropolitan statistical areas, counties, county subdivisions, places, congressional districts, American Indian Areas, Alaska Native Areas, Hawaiian Home Lands, ZIP Code tabulation areas, census tracts, block groups, and blocks. There are 177 population tables and 58 housing tables shown down to the block level; 84 population tables and 4 housing tables shown down to the census tract level; and 10 population tables shown down to the county level. Some of the summary areas are iterated for "geographic components" or portions of geographic areas, e.g., the principal city of a metropolitan statistical area (MSA) or the urban and rural portions of a MSA. With one variable per table cell and additional variables with geographic information, the collection comprises 2,597 data files, 49 per state, the District of Columbia, Puerto Rico, and the National File. The Census Bureau released SF1 in three stages: initial release, National Update, and Urban/Rural Update. The National Update added summary levels for the United States, regions, divisions, and geographic areas that cross state lines such as Combined Statistical Areas. This update adds urban and rural population and housing unit counts, summary levels for urban areas and the urban/rural components of census tracts and block groups, geographic components involving urbanized areas and urban clusters, and two new tables (household type by relationship for the population 65 years and over and a new tabulation of the total population by race). The initial release and National Update is available as ICPSR 33461. ICPSR supplies this data collection in 54 ZIP archives. There is a separate archive for each state, the District of Columbia, Puerto Rico, and the National File. The last archive contains a Microsoft Access database shell and additional documentation files besides the codebook.

The database includes ZIP code, city name, alias city name, state code, phone area code, city type, county name, country FIPS, time zone, day light saving flag, latitude, longitude, county elevation, Metropolitan Statistical Area (MSA), Primary Metropolitan Statistical Area (PMSA), Core Based Statistical Area (CBSA) and census 2000 data on population by race, average household income, and average house value.

This feature service outlines relationships between Zip Code Tabulation Areas (ZCTAs) used to denote Small Area Fair Market Rents (SAFMRs) and the Fair Market Rents (FMRs) calculated for Metropolitan Statistical Areas (MSAs) and County geographies. Small Area Fair Market Rents (SAFMRs) are FMRs calculated for ZIP Codes within Metropolitan Areas. Small Area FMRs are required to be used to set Section 8 Housing Choice Voucher payment standards in areas designated by HUD (available here). Other Housing Agencies operating in non-designated metropolitan areas may opt-in to the use of Small Area FMRs. Furthermore, Small Area FMRs may be used as the basis for setting Exception Payment Standards – PHAs may set exception payment standards up to 110 percent of the Small Area FMR. PHAs administering Public Housing units may use Small Area FMRs as an alternative to metropolitan area-wide FMRs when calculating Flat Rents.

Release Date: 2015-02-27...Table Name.Island Areas: Industry Series: Inventories by Stage of Fabrication by Manufacturing Industry for Puerto Rico and Metropolitan Areas: End of 2011 and 2012.....Key Table Information.Refer to Methodology for additional information......Universe.The universe includes all establishments with payroll at any time during 2012, and classified in NAICS sectors 31-33. Data for 2012 are based on the 2012 NAICS Manual......Geography Coverage.The data are shown at the following geographic levels for Puerto Rico:..State-equivalent (ST - Puerto Rico).Combined Statistical Area (CSA).Metropolitan Statistical Area (MSA)..Note: The "Not in metropolitan or micropolitan area, Puerto Rico" category includes Culebra, Las Marías, Maricao, and Vieques municipios which are not part of any CSA or MSA......Industry Coverage.The data are shown for 2- and 3- NAICS code levels and for selected 4- and 5- digit NAICS code levels. The data for combined and metropolitan areas are shown at the 2- and selected 3- digit NAICS code levels.......Data Items and Other Identifying Records.This file contains data on:. . Number of establishments. End-of-year inventories. End-of-year finished goods inventories. End-of-year work-in-process inventories. End-of-year materials and supplies inventories. .Data are shown for 2012 and 2011, ending and beginning inventories by stage of fabrication......Sort Order.Data are presented in ascending NAICS code and levels by year sequence......FTP Download.Download the entire table athttps://www2.census.gov/econ2012/IA/sector00/IA1200IPRM13.zip....Contact Information.U.S. Census Bureau, Economy-Wide Statistics Division.Island Areas and Business Owners Branch.Tel: (301)763-3314.csd.ia@census.gov...Note: Data for 2012 are based on the 2012 NAICS..Note: The level of geographic detail covered varies for Puerto Rico manufacturing. Refer to geography help for a detailed list of the geographies. Note that tables IA1200IPRM02 and IA1200IPRM05 include different geographic levels (combined statistical areas (CSA), metropolitan and micropolitan statistical areas (MSA), and municipios.) Tables IA1200IPRM12 - IA1200IPRM14 present data at the CSAs and MSAs level..Note: The "Not in metropolitan or micropolitan area, Puerto Rico" category includes Culebra, Las Marías, Maricao, and Vieques municipios which are not part of any CSA or MSA..Note: Includes only establishments with payroll. Data based on the 2012 Economic Census of Island Areas. Figures may not add to total due to rounding. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census of Island Areas.Note: The data in this file are based on the 2012 Economic Census of Island Areas. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote.

This data collection is a component of Summary Tape File (STF) 3, which consists of four sets of data files containing detailed tabulations of the nation's population and housing characteristics produced from the 1980 Census. The STF 3 files contain sample data inflated to represent the total United States population. The files also contain 100-percent counts and unweighted sample counts of persons and housing units. All files in the STF 3 series are identical, containing 321 substantive data variables organized in the form of 150 "tables," as well as standard geographic identification variables. Population items tabulated for each person include demographic data and information on schooling, Spanish origin, language spoken at home and ability to speak English, labor force status in 1979, residency in 1975, number of children ever born, means of transportation to work, current occupation, industry, and 1979 details on occupation, hours worked, and income. Housing items include size and condition of the housing unit as well as information on value, age, water, sewage and heating, number of vehicles, and monthly owner costs (e.g., sum of payments for real estate taxes, property insurance, utilities, and regular mortgage payments). Selected aggregates and medians are also provided. Each dataset in STF 3 provides different geographic coverage. Summary Tape File 3B provides summaries for each 5-digit ZIP-code area within a state, and for 5-digit ZIP-code areas within states that were contained within Standard Metropolitan Statistical Areas (SMSAs), portions of SMSAs, or within counties, county portions, or county equivalents. All persons and housing units in the United States were sampled. Population and housing items include household relationship, sex, race, age, marital status, Hispanic origin, number of units at address, complete plumbing facilities, number of rooms, whether owned or rented, vacancy status, and value for noncondominiums. The Census Bureau's machine-readable data dictionary for STF 3 is also available through CENSUS OF POPULATION AND HOUSING, 1980 [UNITED STATES]: CENSUS SOFTWARE PACKAGE (CENSPAC) VERSION 3.2 WITH STF4 DATA DICTIONARIES (ICPSR 7789), the software package designed specifically by the Census Bureau for use with the 1980 Census data files.

This statistic shows the 50 metropolitan areas with the highest birth rate in the United States in 2023. Birth rate is the total number of live births per 1,000 of a population in a particular year. The Hinesville metro area in Georgia was ranked first with 18.69 births per 1,000 residents in 2023.

This data set provides the capability of assigning geographic codes (State, county, and place) to records containing ZIP Code, post office name, and State Abbreviation. The file also contains spelling variations of post office names. The file was used by the Census Bureau in conjunction with other reference files to geocode responses from the 1982 Economic Censuses. This 1983 version has been updated to include codes for metropolitan statistical areas (MSA's) defined as of Dec. 31, 1983.< p>Fifty states, the District of Columbia, and Puerto Rico.

California - Census ZIP Code Tabulation Areas (ZCTA)This data is a subset of the National ZCTA data from the US Census Bureau. This layer was created by using the Select by Layer tool in ArcGIS Pro. First, the polygon for the California was selected from the United State County Borders, then the features from the ZCTA layer within the CA polygon were selected to create a new California only ZCTA layer.Census ZIP Code Tabulation AreasThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Census Bureau, displays ZIP Code Tabulation Areas. Per the USCB, “ZIP Code Tabulation Areas (ZCTAs) are approximate area representations of U.S. Postal Service (USPS) ZIP Code service areas that the Census Bureau creates to present statistical data for each decennial census. Data users should not use ZCTAs to identify the official USPS ZIP Code for mail delivery. The USPS makes periodic changes to ZIP Codes to support more efficient mail delivery.”Tabulation Area: 90069NGDAID: 58 (Series Information for 2020 Census 5-Digit ZIP Code Tabulation Area (ZCTA5) National TIGER/Line Shapefiles, Current)OGC API Features Link: (Census ZIP Code Tabulation Areas - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: ZIP Code Tabulation Areas (ZCTAs)For feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Governmental Units, and Administrative and Statistical Boundaries Theme Community. Per the Federal Geospatial Data Committee (FGDC), this theme is defined as the "boundaries that delineate geographic areas for uses such as governance and the general provision of services (e.g., states, American Indian reservations, counties, cities, towns, etc.), administration and/or for a specific purpose (e.g., congressional districts, school districts, fire districts, Alaska Native Regional Corporations, etc.), and/or provision of statistical data (census tracts, census blocks, metropolitan and micropolitan statistical areas, etc.). Boundaries for these various types of geographic areas are either defined through a documented legal description or through criteria and guidelines. Other boundaries may include international limits, those of federal land ownership, the extent of administrative regions for various federal agencies, as well as the jurisdictional offshore limits of U.S. sovereignty. Boundaries associated solely with natural resources and/or cultural entities are excluded from this theme and are included in the appropriate subject themes."For other NGDA Content: Esri Federal Datasets

Prepared by the Inter-university Consortium for Political and Social Research, this data collection consists of selected subsets extracted from the Census of Population and Housing, 2000, Summary File 3 (SF3). The SF3 data contain information compiled from the questions asked of a sample of persons and housing units enumerated in Census 2000. Population items include sex, age, race, Hispanic or Latino origin, household relationship, marital status, caregiving by grandparents, language and ability to speak English, ancestry, place of birth, citizenship status and year of entry to the United States, migration, place of work, journey to work, school enrollment, educational attainment, veteran status, disability, employment status, industry, occupation, class of worker, income, and poverty status. Housing items include housing unit vacancy status, housing unit tenure (owner/renter), number of rooms, number of bedrooms, year moved into unit, occupants per room, units in structure, year structure built, heating fuel, telephone service, plumbing and kitchen facilities, vehicles available, value of home, rent, and shelter costs. The information in SF3 is presented in 813 tables, one variable per table cell, plus additional variables with geographic information. Cases in the summary file data are classified by levels of observation, known as "summary levels" in the Census Bureau's nomenclature, which served as the selection criteria for the subsets generated by ICPSR. Each subset comprises all of the cases in one of 10 summary levels: the nation (summary level 010), states (summary level 040), Metropolitan Statistical Areas (MSA)/Consolidated Metropolitan Statistical Areas (CMSA) (summary level 380), Primary Metropolitan Statistical Areas (PMSA) (summary level 385), places (summary level 160), counties (summary level 050), county subdivisions (summary level 060), whole census tracts (summary level 140), census tracts in places (summary level 158), and 5-Digit ZIP Code Tabulation Areas (ZCTA) (summary level 860). Four files are supplied for the summary level 860 subset: a single file that contains all of the SF3 tables, plus three smaller files, each of which contains about one third of the tables. Five files are supplied for each of the summary level 010, 040, 380, 385, 160, and 050 subsets: a single file that contains all of the SF3 tables, plus four smaller files, each of which contains approximately one quarter of the tables. Fifteen files are provided for each of the summary level 140 and 158 subsets. There is a national file with all of the SF3 tables, plus two smaller national files, each of which contains approximately one half of the tables. Additionally, there are three files for each of the four census regions (Northeast, Midwest, South, and West): a file with all tables and two smaller files each containing about one half of the tables. Twenty files are supplied for summary level 060. There is a national file with all tables, plus three smaller national files, each of which contains approximately one third of the tables. In addition, there are four files for each of the four census regions: a file with all tables and three smaller files each containing about one third of the tables. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR13402.v2. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

Table NameInformation: Geographic Area Series: Summary Statistics for the U.S., States, Metro Areas, Counties, and Places: 2012ReleaseScheduleThe data in this file are scheduled for release on a flow basis starting in May 2015 and ending in December 2015.Key TableInformationThese data supersede preliminary data released in the Industry Series files for Information (Sector 51) from the 2012 Economic Census. See Methodology for additional information on data limitations.UniverseThe universe of this file is all establishments of firms with payroll in business at any time during 2012 and classified in Information (Sector 51).GeographyCoverageThe data are shown at the United States, State, Combined Statistical Area, Metropolitan and Micropolitan Statistical Area, Metropolitan Division, Consolidated City, County (and equivalent), and Economic Place (and equivalent; incorporated and unincorporated) levels. New for 2012: The Economic Place criteria has changed from 5,000 population or jobs for the 2007 Economic Census to 2,500 population or jobs for 2012. Also, data for Non-Metro Areas is now published using Geographic Component Codes. See New for 2012 for more information about these changes. IndustryCoverageThe data shown vary by geography for 2- through 7-digit 2012 NAICS codes.Data ItemsandOtherIdentifyingRecordsThis file contains data on:EstablishmentsSalesAnnual payrollFirst-quarter payrollPaid employeesPercent of sales from administrative recordsPercent of sales estimatedFTP DownloadDownload the entire table athttps://www2.census.gov/econ2012/EC/sector51/EC1251A1.zip..ContactInformation. U.S. Census Bureau, Economy Wide Statistics Division. Data User Outreach and Education Staff . Washington, DC 20233-6900. Tel: (800) 242-2184 . Tel: (301) 763-5154. ewd.outreach@census.gov. . .For information on economic census geographies, including changes for 2012, see the economic census Help Center..These data are final; they supersede data released in earlier data files. Includes only establishments of firms with payroll. See Table Notes for more information. Data based on the 2012 Economic Census. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census.Note: The data in this file are based on the 2012 Economic Census. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote.

This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

The 2013 Rural-Urban Continuum Codes form a classification scheme that distinguishes metropolitan counties by the population size of their metro area, and nonmetropolitan counties by degree of urbanization and adjacency to a metro area. The official Office of Management and Budget (OMB) metro and nonmetro categories have been subdivided into three metro and six nonmetro categories. Each county in the U.S. is assigned one of the 9 codes. This scheme allows researchers to break county data into finer residential groups, beyond metro and nonmetro, particularly for the analysis of trends in nonmetro areas that are related to population density and metro influence. The Rural-Urban Continuum Codes were originally developed in 1974. They have been updated each decennial since (1983, 1993, 2003, 2013), and slightly revised in 1988. Note that the 2013 Rural-Urban Continuum Codes are not directly comparable with the codes prior to 2000 because of the new methodology used in developing the 2000 metropolitan areas. See the Documentation for details and a map of the codes. An update of the Rural-Urban Continuum Codes is planned for mid-2023.

Table NameUtilities: Geographic Area Series: Summary Statistics for the U.S., States, Metro Areas, Counties, and Places: 2012ReleaseScheduleThe data in this file are scheduled for release on a flow basis starting in February 2015 and ending in November 2015.Key TableInformationThese data supersede preliminary data released in the Industry Series files for Utilities (Sector 22) from the 2012 Economic Census. See Methodology. for additional information on data limitations.UniverseThe universe of this file is all establishments of firms with payroll in business at any time during 2012 and classified in Utilities (Sector 22).GeographyCoverageThe data are shown at the United States, State, Combined Statistical Area, Metropolitan and Micropolitan Statistical Area, Metropolitan Division, Consolidated City, County (and equivalent), and Economic Place (and equivalent; incorporated and unincorporated) levels. New for 2012: The Economic Place criteria has changed from 5,000 population or jobs for the 2007 Economic Census to 2,500 population or jobs for 2012. Also, data for Non-Metro Areas is now published using Geographic Component Codes. See New for 2012 for more information about these changes. IndustryCoverageThe data shown vary by geography for 2- through 6-digit 2012 NAICS codes.Data ItemsandOtherIdentifyingRecordsThis file contains data on:. Establishments. Revenue. Annual payroll. First-quarter payroll. Paid employees. Percent of revenue from administrative records. Percent of revenue estimatedFTP DownloadDownload the entire table athttps://www2.census.gov/econ2012/EC/sector22/EC1222A1.zip. .ContactInformation. U.S. Census Bureau, Economy Wide Statistics Division. Data User Outreach and Education Staff . Washington, DC 20233-6900. Tel: (800) 242-2184 . Tel: (301) 763-5154. ewd.outreach@census.gov. . .For information on economic census geographies, including changes for 2012, see the economic census Help Center..These data are final; they supersede data released in earlier data files. Includes only establishments of firms with payroll. See Table Notes for more information. Data based on the 2012 Economic Census. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census.Note: The data in this file are based on the 2012 Economic Census. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote.

This extraction of data from the 1990 decennial Census files (CENSUS OF POPULATION AND HOUSING, 1990 UNITED STATES: SUMMARY TAPE FILES 3A AND 3B (ICPSR 9694, 9693)) was designed to provide a set of contextual variables to be matched to any survey dataset that has been coded for the geographic location of respondents. Over 120 variables were selected from original Census sources, and more than 100 variables were derived from those component variables. The variables characterize geographic areas in terms of ethnicity, family structures, income, education, labor force activity, and housing. The geographic areas chosen range from neighborhoods (tracts, Block Numbering Areas (BNAs), and Enumeration Districts (EDs)), through intermediate levels of geography (Minor Civil Divisions and Census County Divisions (MCDs/CCDs), census places, and ZIP codes), through large economic areas (counties, Metropolitan Statistical Areas, State Economic Areas (SEAs), and specially created Labor Market Areas (LMAs)), and beyond to large regions (Economic Sub-Regions (ESRs) and states). To the maximum extent possible, the investigator selected Census variables that seemed relevant to problems associated with poverty and income determination and that were present in comparable form in the 1970 and 1980 Census datasets. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR02889.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

VITAL SIGNS INDICATOR
Home Prices (EC7)

FULL MEASURE NAME
Home Prices

LAST UPDATED
December 2022

DESCRIPTION
Home prices refer to the cost of purchasing one’s own house or condominium. While a significant share of residents may choose to rent, home prices represent a primary driver of housing affordability in a given region, county or city.

DATA SOURCE
Zillow: Zillow Home Value Index (ZHVI) - http://www.zillow.com/research/data/
2000-2021

California Department of Finance: E-4 Historical Population Estimates for Cities, Counties, and the State - https://dof.ca.gov/forecasting/demographics/estimates/
2000-2021

US Census Population and Housing Unit Estimates - https://www.census.gov/programs-surveys/popest.html
2000-2021

Bureau of Labor Statistics: Consumer Price Index - http://data.bls.gov
2000-2021

US Census ZIP Code Tabulation Areas (ZCTAs) - https://www.census.gov/programs-surveys/geography/guidance/geo-areas/zctas.html
2020 Census Blocks

CONTACT INFORMATION
vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator)
Housing price estimates at the regional-, county-, city- and zip code-level come from analysis of individual home sales by Zillow based upon transaction records. Zillow Home Value Index (ZHVI) is a smoothed, seasonally adjusted measure of the typical home value and market changes across a given region and housing type. It reflects the typical value for homes in the 35th to 65th percentile range. ZHVI is computed from public record transaction data as reported by counties. All standard real estate transactions are included in this metric, including REO sales and auctions. Zillow makes a substantial effort to remove transactions not typically considered a standard sale. Examples of these include bank takeovers of foreclosed properties, title transfers after a death or divorce and non arms-length transactions. Zillow defines all homes as single-family residential, condominium and co-operative homes with a county record. Single-family residences are detached, which means the home is an individual structure with its own lot. Condominiums are units that can be owned in a multi-unit complex, such as an apartment building. Co-operative homes are slightly different from condominiums in that the homeowners own shares in the corporation that owns the building, not the actual units themselves.

For metropolitan area comparison values, the Bay Area metro area’s median home sale price is the population-weighted average of the nine counties’ median home prices. Data is adjusted for inflation using Bureau of Labor Statistics metropolitan statistical area (MSA)-specific series. Inflation-adjusted data are presented to illustrate how home prices have grown relative to overall price increases; that said, the use of the Consumer Price Index (CPI) does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of the CPI itself.

Table NameFinance and Insurance: Geographic Area Series: Summary Statistics for the U.S., States, Metro Areas, Counties, and Places: 2012ReleaseScheduleThe data in this file are scheduled for release on a flow basis starting in February 2015 and ending in November 2015.Key TableInformationThese data supersede preliminary data released in the Industry Series files for Finance and Insurance (Sector 52) from the 2012 Economic Census. See Methodology. for additional information on data limitations.UniverseThe universe of this file is all establishments of firms with payroll in business at any time during 2012 and classified in Finance and Insurance (Sector 52).GeographyCoverageThe data are shown at the United States, State, Combined Statistical Area, Metropolitan and Micropolitan Statistical Area, Metropolitan Division, Consolidated City, County (and equivalent), and Economic Place (and equivalent; incorporated and unincorporated) levels. New for 2012: The Economic Place criteria has changed from 5,000 population or jobs for the 2007 Economic Census to 2,500 population or jobs for 2012. Also, data for Non-Metro Areas is now published using Geographic Component Codes. See New for 2012 for more information about these changes. IndustryCoverageThe data shown vary by geography for 2- through 6-digit and selected 7-digit 2012 NAICS codes.Data ItemsandOtherIdentifyingRecordsThis file contains data on:. Establishments. Revenue. Annual payroll. First-quarter payroll. Paid employees. Percent of revenue from administrative records. Percent of revenue estimatedFTP DownloadDownload the entire table athttps://www2.census.gov/econ2012/EC/sector52/EC1252A1.zip. .ContactInformation. U.S. Census Bureau, Economy Wide Statistics Division. Data User Outreach and Education Staff . Washington, DC 20233-6900. Tel: (800) 242-2184 . Tel: (301) 763-5154. ewd.outreach@census.gov. . .For information on economic census geographies, including changes for 2012, see the economic census Help Center..These data are final; they supersede data released in earlier data files. Includes only establishments of firms with payroll. See Table Notes for more information. Data based on the 2012 Economic Census. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census.Note: The data in this file are based on the 2012 Economic Census. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote.

Abstract (en): The State Legislative District Summary File Supplement contains geographic identification codes that relate each 2000 Census block to pre-2010 Census state legislative districts. Both upper and lower chamber districts are identified. In addition, these block-level data contain variables on land area, water area, latitude, longitude, total population size, and number of housing units, as well as geographic identification variables for other levels of observation such as states, metropolitan statistical areas, urban areas, congressional districts, counties, county subdivisions, places, census tracts, block groups, and ZIP code tabulation areas. There is one data file for each state, the District of Columbia, and Puerto Rico which are bundled together in a single ZIP archive. A second ZIP archive contains the codebook and other documentation. All persons and housing units in the United States and Puerto Rico. mail questionnaire

The 2015 TIGER Geodatabases are extracts of selected nation based and state based geographic and cartographic information from the U.S. Census Bureau's Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) database. The geodatabases include feature class layers of information for the fifty states, the District of Columbia, Puerto Rico, and the Island areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the United States Virgin Islands). The geodatabases do not contain any sensitive data. The 2015 TIGER Geodatabases are designed for use with Esriâ s ArcGIS.

        The National Nation-Level Geography Geodatabase contains multiple nation-based layers reflecting the selected geography. These layers are the
        5-Digit ZIP Code Tabulation Area, Combined New England City and Town Area, Combined Statistical Area, Core Based Statistical Area, Metropolitan
        Division, New England City and Town Area, New England City and Town Area Division, State and Urban Area layers.

These data were developed by the Research & Analytics Department at the Atlanta Regional Commission using data from the U.S. Census Bureau across all standard and custom geographies at statewide summary level where applicable.For a deep dive into the data model including every specific metric, see the ACS 2019-2023. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics. Find naming convention prefixes/suffixes, geography definitions and user notes below.Prefixes:NoneCountpPercentrRatemMedianaMean (average)tAggregate (total)chChange in absolute terms (value in t2 - value in t1)pchPercent change ((value in t2 - value in t1) / value in t1)chpChange in percent (percent in t2 - percent in t1)sSignificance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computedSuffixes:_e23Estimate from 2019-23 ACS_m23Margin of Error from 2019-23 ACS_e102006-10 ACS, re-estimated to 2020 geography_m10Margin of Error from 2006-10 ACS, re-estimated to 2020 geography_e10_23Change, 2010-23 (holding constant at 2020 geography)GeographiesAAA = Area Agency on Aging (12 geographic units formed from counties providing statewide coverage)ARC21 = Atlanta Regional Commission modeling area (21 counties merged to a single geographic unit)ARWDB7 = Atlanta Regional Workforce Development Board (7 counties merged to a single geographic unit)BeltLineStatistical (buffer)BeltLineStatisticalSub (subareas)Census Tract (statewide)CFGA23 = Community Foundation for Greater Atlanta (23 counties merged to a single geographic unit)City (statewide)City of Atlanta Council Districts (City of Atlanta)City of Atlanta Neighborhood Planning Unit (City of Atlanta)City of Atlanta Neighborhood Statistical Areas (City of Atlanta)County (statewide)CCDIST = County Commission Districts (statewide where applicable)CCSUPERDIST = County Commission Superdistricts (DeKalb)Georgia House (statewide)Georgia Senate (statewide)HSSA = High School Statistical Area (11 county region)MetroWater15 = Atlanta Metropolitan Water District (15 counties merged to a single geographic unit)Regional Commissions (statewide)State of Georgia (single geographic unit)Superdistrict (ARC region)US Congress (statewide)UWGA13 = United Way of Greater Atlanta (13 counties merged to a single geographic unit)ZIP Code Tabulation Areas (statewide)The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2019-2023). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2019-2023Open Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the data manifest: https://opendata.atlantaregional.com/documents/182e6fcf8201449086b95adf39471831/about