MORE RECENT DATA AVAILABLE HERE.This layer contains estimates and margins of error for 21 different Asian ethnicities by tract centroids. Data is from American Community Survey 2012-2016 5-year estimates, Table B02018. Ethnicities/fields are: Asian Indian, Bangladeshi, Bhutanese, Burmese, Cambodian, Chinese (except Taiwanese), Filipino, Hmong, Indonesian, Japanese, Korean, Laotian, Malaysian, Mongolian, Nepalese, Okinawan, Pakistani, Sri Lankan, Taiwanese, Thai, Vietnamese, Other Asian - specified, and Other Asian - not specified.A filter is applied so that only tracts with at least 3 Asian Americans are displayed. Layer is symbolized with red firefly proportionally-graduated symbols, meant for a dark basemap. Accompanying web map also available.Nationally, the estimates and margins of error for these detailed Asian ethnicities are below: United StatesEstimateMargin of ErrorTotal Groups Tallied:20,337,346+/-27,363Asian Indian3,746,270+/-19,968Bangladeshi170,747+/-5,251Bhutanese27,399+/-2,669Burmese150,087+/-5,408Cambodian317,931+/-7,693Chinese, except Taiwanese4,558,129+/-24,665Filipino3,772,868+/-22,409Hmong289,461+/-5,593Indonesian110,286+/-4,239Japanese1,413,802+/-16,600Korean1,795,614+/-14,740Laotian262,832+/-6,798Malaysian30,626+/-1,882Mongolian22,390+/-1,940Nepalese126,668+/-5,072Okinawan12,614+/-1,057Pakistani476,963+/-11,358Sri Lankan54,260+/-2,685Taiwanese181,683+/-5,393Thai280,835+/-6,834Vietnamese1,948,720+/-20,616Other Asian, specified7,252+/-842Other Asian, not specified579,909+/-9,235

The Indigenous Populations of Canada map is derived from the CanEcumene 2.0 Geodatabase using custom tabulations of census-based population data. Indigenous communities within the level of the census sub-division (CSD) were identified using a combination of sources from census field data (see Eddy et. al. 2020 for more details). This map shows the percent of Indigenous population in CanEcumene 2.0 communities using graduated symbols, overlaid upon a population density raster. The larger the symbol, the higher the percentage of Indigenous population in that area. The darker the colour in the underlying raster, the denser is the general population. This map illustrates how the majority of Indigenous populations reside in locations outside of the denser populated areas of Canada.

This multi-scale map shows where disconnected youth (i.e. youth 16 -19 who are neither in school nor in the labor force) are. Counts are depicted by size of symbol and percent is depicted by color of symbol. Pop-ups show additional counts of disconnected youth who have not graduated from high school.This map uses these hosted feature layers containing the most recent American Community Survey data. These layers are part of the ArcGIS Living Atlas, and are updated every year when the American Community Survey releases new estimates, so values in the map always reflect the newest data available.

Description: Spatial and seasonal distributions of selected species of seabirds in the German Bight.

Data source: TOPAS-Windobs Datenbank + TOPAS-FTZobs Datenbank. These are data from Environmental Impact Assessments (EIS) and monitoring studies under the permit procedures of BSH in the North Sea EEZ and research data of the FTZ.

Data collection: Ship-based and aircraft-based transect counts. The basis of all ship-based seabird counts is the standardized method described by Tasker et al. (1984) and Garthe et al. (2002). Following this method, seabirds within a transect strip of known length and width were recorded. Thus the number of birds per area (density) can be calculated. Seabird counts from aircrafts are described in Diederichs et al. (2002). It is also a transect based method. Time periods: Ship: June 2000 to Aug. 2013, aircraft: March 2002 to June 2013.

Data analysis: Based on all survey years; for each species (or species group) and each species-specific season the mean density [individuals/km²] per raster cell is calculated as "the sum of the counted seabirds divided by the sum of the survey effort inside the raster cell". Species specific correction factors were used for the calculation of the density (Garthe et al. 2007, 2009; Markones and Garthe 2012). For divers separate correction factors were calculated for each single data collection team and then combined into a weighted average.

Product description: Vector raster with "10 km x 10 km" raster cells (EPSG 3035). WMS: classification by mean density (5 ranges), visualization by graduated symbols.

Bibliography see: ftp://ftp.bsh.de/outgoing/gdi-bsh/public/M/M5/docs/Seebirds_density_bibliography.htm

This web map shows the predominant education level attained by the US population aged 25 or over. This is shown by Census Tract and County centroids. This data is from the 2012-2016 American Community Survey 5-year estimates in the S1501 Table for Educational Attainment by age and gender. The popup in the map provides a breakdown of the highest level of education attained by the population in an area.The color of the symbols represent the most common level of education. This predominance map style compares the count of people based on their highest level of education, and returns the value with the highest count. The census breaks down the 25+ population by the following education levels:Less than 9th grade9th to 12th grade [no diploma]High school graduate [includes equivalency]Some College [no degree]Associates degreeBachelor's degreeGraduate or professional degreeThe size of the symbols represents how many people are 25 years or older, which helps highlight the quantity of people that live within an area. The strength of the color represents HOW predominant an education level is within an area. If the symbol is a strong color, it makes up a larger portion of the population. This map helps to show the most common level of education at a local and regional level. The tract pattern shows how distinct neighborhoods are clustered by their level of education. The county pattern shows an rural/urban difference in education. This pattern is shown by census tracts at large scales, and counties at smaller scales.This data was downloaded from the United States Census Bureau American Fact Finder on January 10, 2018. It was then joined with 2016 vintage centroid points and hosted to ArcGIS Online and the Living Atlas as hosted feature layers. Census Tract Centroid Layer with educational attainment attributesCounties Layer with educational attainment attributesNationally, the breakdown of education for the population 25+ is as follows:

Total Estimate Margin of Error Percent Estimate Margin of Error

Population 25 years and over 213,649,147 +/-15,761 (X) (X)

Less than 9th grade 11,913,913 +/-60,796 5.60% +/-0.1

9th to 12th grade, no diploma 15,904,467 +/-70,156 7.40% +/-0.1

High school graduate (includes equivalency) 58,820,411 +/-182,369 27.50% +/-0.1

Some college, no degree 44,772,845 +/-41,794 21.00% +/-0.1

Associate's degree 17,469,724 +/-41,879 8.20% +/-0.1

Bachelor's degree 40,189,920 +/-142,140 18.80% +/-0.1

Graduate or professional degree 24,577,867 +/-151,189 11.50% +/-0.1