The Arlington Profile combines countywide data sources and provides a comprehensive outlook of the most current data on population, housing, employment, development, transportation, and community services. These datasets are used to obtain an understanding of community, plan future services/needs, guide policy decisions, and secure grant funding. A PDF Version of the Arlington Profile can be accessed on the Arlington County website.

This layer shows vacant housing by type (for rent/sale, vacation home, etc.). This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.This layer is symbolized to show the percent of housing units that are vacant. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B25004, B25002, B25003 (Not all lines of ACS tables B25002 and B25003 are available in this layer.)Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

Population information, and demographics for selected years, for the North Slope Borough.

Flows Into Not in Labour Force: sa: Female: Employed data was reported at 2,339.000 Person th in Jun 2018. This records a decrease from the previous number of 2,495.000 Person th for May 2018. Flows Into Not in Labour Force: sa: Female: Employed data is updated monthly, averaging 2,119.000 Person th from Feb 1990 (Median) to Jun 2018, with 341 observations. The data reached an all-time high of 2,963.000 Person th in Oct 2017 and a record low of 1,676.000 Person th in Apr 1992. Flows Into Not in Labour Force: sa: Female: Employed data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G012: Current Population Survey: Labour Force Status Flows.

United States Flows Into Unemployment: Male: Unemployed data was reported at 1,472.000 Person th in Oct 2018. This records an increase from the previous number of 1,456.000 Person th for Sep 2018. United States Flows Into Unemployment: Male: Unemployed data is updated monthly, averaging 2,348.000 Person th from Feb 1990 (Median) to Oct 2018, with 345 observations. The data reached an all-time high of 6,961.000 Person th in Feb 2010 and a record low of 1,046.000 Person th in Sep 2000. United States Flows Into Unemployment: Male: Unemployed data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G012: Current Population Survey: Labour Force Status Flows.

United States Flows Into Unemployment: Male: Other data was reported at 4.000 Person th in Oct 2018. This records a decrease from the previous number of 5.000 Person th for Sep 2018. United States Flows Into Unemployment: Male: Other data is updated monthly, averaging 10.000 Person th from Feb 1990 (Median) to Oct 2018, with 345 observations. The data reached an all-time high of 48.000 Person th in Jan 2003 and a record low of 0.000 Person th in Dec 2017. United States Flows Into Unemployment: Male: Other data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G012: Current Population Survey: Labour Force Status Flows.

This service contains the 2018-2022 release of data from the American Community Survey (ACS) 5-year data about Veteran Status, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the percentage of the civilian population over the age of 18 that are Veterans.To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2018-2022ACS Table(s): DP02Data downloaded from: CensusBureau's API for American Community Survey Date of API call: January 18, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:Boundaries come from the Cartographic Boundaries via US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates, and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico. The Counties (and equivalent) layer contains 3221 records - all counties and equivalent, Washington D.C., and Puerto Rico municipios. See Areas Published. Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells.Margin of error (MOE) values of -555555555 in the API (or "*****" (five asterisks) on data.census.gov) are displayed as 0 in this dataset. The estimates associated with these MOEs have been controlled to independent counts in the ACS weighting and have zero sampling error. So, the MOEs are effectively zeroes, and are treated as zeroes in MOE calculations. Other negative values on the API, such as -222222222, -666666666, -888888888, and -999999999, all represent estimates or MOEs that can't be calculated or can't be published, usually due to small sample sizes. All of these are rendered in this dataset as null (blank) values.

In 2023, women in households with an income below the poverty threshold had the highest birth rate in the United States, at 72 births per 1,000 women.

SELECTED ECONOMIC CHARACTERISTICS EMPLOYMENT STATUS - DP03 Universe - Population 16 years and over Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021, 2022 The series of questions on employment status was designed to identify, in this sequence: (1) people who worked at any time during the reference week; (2) people on temporary layoff who were available for work; (3) people who did not work during the reference week but who had jobs or businesses from which they were temporarily absent (excluding layoff); (4) people who did not work during the reference week, but who were looking for work during the last four weeks and were available for work during the reference week; and (5) people not in the labor force.

United States Other Outflows From: Not in Labour Force data was reported at 200.000 Person th in Jun 2018. This stayed constant from the previous number of 200.000 Person th for May 2018. United States Other Outflows From: Not in Labour Force data is updated monthly, averaging 176.000 Person th from Feb 1990 (Median) to Jun 2018, with 341 observations. The data reached an all-time high of 503.000 Person th in Jan 2017 and a record low of 147.000 Person th in Sep 1990. United States Other Outflows From: Not in Labour Force data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G012: Current Population Survey: Labour Force Status Flows.

This dataset contains Iowa population estimates by poverty status (past 12 months), sex and educational attainment for State of Iowa, individual Iowa counties, Iowa places and census tracts within Iowa. Data is from the American Community Survey, Five Year Estimates, Table B17003.

Poverty status includes the following: All Levels, Below Poverty Level, and Above Poverty Level.

Sex includes the following: Both, Male and Female.

Educational attainment includes the following: All Educational Levels, Less than High School Graduate, High School Graduate, Some College/Associate's Degree, and Bachelor's Degree or Higher.

Individual poverty status using the Market Basket Measure (MBM) by family characteristics (couple, one-parent, presence of children).

Switzerland Average Household Size: Members by Activity Status: Students data was reported at 0.099 Person in 2016. This records a decrease from the previous number of 0.108 Person for 2015. Switzerland Average Household Size: Members by Activity Status: Students data is updated yearly, averaging 0.099 Person from Dec 2006 (Median) to 2016, with 11 observations. The data reached an all-time high of 0.114 Person in 2014 and a record low of 0.083 Person in 2009. Switzerland Average Household Size: Members by Activity Status: Students data remains active status in CEIC and is reported by Swiss Federal Statistical Office. The data is categorized under Global Database’s Switzerland – Table CH.H011: Average Household Size.

The statistic presents the marital status of McDonald's customers and the total population in Germany in 2021. Unmarried persons were strongly represented among McDonald's customers. While **** percent of McDonald's customers were unmarried, this was true for **** percent of the total population. The pattern was reversed although not as pronounced for married persons.

United States Flows Into Employment: sa: Male: Unemployed data was reported at 904.000 Person th in Jun 2018. This records a decrease from the previous number of 1,012.000 Person th for May 2018. United States Flows Into Employment: sa: Male: Unemployed data is updated monthly, averaging 1,186.000 Person th from Feb 1990 (Median) to Jun 2018, with 341 observations. The data reached an all-time high of 1,717.000 Person th in Apr 2010 and a record low of 834.000 Person th in Apr 1999. United States Flows Into Employment: sa: Male: Unemployed data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G012: Current Population Survey: Labour Force Status Flows.

This dataset contains Iowa population estimate for individuals 16 years and older by employment status for State of Iowa, individual Iowa counties, Iowa places and census tracts within Iowa. Data is from the American Community Survey, Five Year Estimates, Table B23025.

Employment status includes the following: Total, Labor Force, Civilian Labor Force, Civilian Employed Labor Force, Civilian Unemployed Labor Force, Armed Forces and Not in Labor Force.

Release the marriage status of the population aged 15 and above in Taitung County by gender and township.

This report presents statistics on mother’s smoking status at time of delivery, at Clinical Commissioning Group (CCG), Sustainability and Transformation Partnership (STP), Region and national levels. This release includes provisional data for quarter 2 of 2020-21. Due to the coronavirus illness (COVID-19) disruption, it would seem that this is now starting to affect the quality and coverage of some of our statistics, such as an increase in non-submissions for some datasets. For the SATOD collection, there is a noticeable difference in the percentage of mothers who were smokers at the time of delivery in 20/21 from the previous year (from 10.4% to 9.8%). Therefore, data should be interpreted with care over the COVID-19 period. Please see data DQ table 1 for details of coverage issues given by submitters for this collection.

Get valuable legal information effortlessly with APISCRAPY's services – USA Court Data, USA Litigation Data, and US County Legal Data. Our user-friendly offerings include a handy Court Data API, providing you with all the legal details you need for your decision-making.

Total and active population by sex, age, employment status, residence one year prior to the census and NUTS 3 regions