USA Counties provides 2017 boundaries for the counties of the United States in the 50 states, the District of Columbia, and Puerto Rico. The boundaries are consistent with the tract, block group, and state layers and are effective at county, regional, and state levels.Attribute fields include estimated 2017 total population, 2010 U.S. Census demographic information, and 2012 Census of Agriculture information for the USA counties.

This map shows the average household income in the U.S. in 2022 in a multiscale map by country, state, county, ZIP Code, tract, and block group. Information for the average household income is an estimate of income for calendar year 2022. Income amounts are expressed in current dollars, including an adjustment for inflation or cost-of-living increases.The pop-up is configured to include the following information for each geography level:Average household incomeMedian household incomeCount of households by income groupAverage household income by householder age groupThe data shown is from Esri's 2022 Updated Demographic estimates using Census 2020 geographies. The map adds increasing level of detail as you zoom in, from state, to county, to ZIP Code, to tract, to block group data.Esri's U.S. Updated Demographic (2022/2027) Data: Population, age, income, sex, race, home value, and marital status are among the variables included in the database. Each year, Esri's Data Development team employs its proven methodologies to update more than 2,000 demographic variables for a variety of U.S. geographies.Additional Esri Resources:Esri DemographicsU.S. 2022/2027 Esri Updated DemographicsEssential demographic vocabularyThis item is for visualization purposes only and cannot be exported or used in analysis.Permitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

In 2008, the Quality Deer Management Association (QDMA) developed a map of white-tailed deer density with information obtained from state wildlife agencies. The map contains information from 2001 to 2005, with noticeable changes since the development of the first deer density map made by QDMA in 2001. The University of Minnesota, Forest Ecosystem Health Lab and the US Department of Agriculture, Forest Service-Northern Research Station have digitized the deer density map to provide information on the status and trends of forest health across the eastern United States. The QDMA spatial map depicting deer density (deer per square mile) was digitized across the eastern United States. Estimates of deer density were: White = rare, absent, or urban area with unknown population, Green = less than 15 deer per square mile, Yellow = 15 to 30 deer per square mile, Orange = 30 to 40 deer per square mile, or Red = greater than 45 deer per square mile. These categories represent coarse deer density levels as identified in the QDMA report in 2009 and should not be used to represent current or future deer densities across the study region. Sponsorship: Quality Deer Management Association; US Department of Agriculture, Forest Service-Northern Research Station; Minnesota Agricultural Experiment Station. Resources in this dataset:Resource Title: Link to DRUM catalog record. File Name: Web Page, url: https://conservancy.umn.edu/handle/11299/178246

This boundary file contains historic county boundaries for which the U.S. Census Bureau tabulated data and was produced by the Minnesota Population Center as part of the National Historical Geographic Information System (NHGIS) project. The NHGIS is an National Science Foundation-sponsored project (Grant No. BCS0094908) to create a digital spatial-temporal database of all available historical US aggregate census materials. The available shapefiles on the NHGIS site represent version 1.0 of historical US county boundary files for the 1790 to 2000 censuses. These electronic county boundary files were created by referencing a wide variety of sources and considerable care was taken during their production. U.S. Census Bureau TIGER/Line Census 2000 files provided the 1990 and 2000 county boundaries and the roads, hydrography, and public land survey lines required to construct historic county boundaries. Locations of historic county boundaries were derived from William Thorndale and William Dollarhide's Map Guide to the U.S. Federal Censuses (1987), various volumes of John H. Long's Atlas of Historical County Boundaries, the Atlas of Historical County Boundaries website (http://www.newberry.org/ahcbp/), and other state-specific sources. TIGER/Line spatial features that corresponded to boundaries in these sources were used to construct the proper historic boundaries. When a TIGER/Line feature was not available, we digitized the historic boundary from one of the map sources. Aggregate data from Michael Haines' Historical Demographic, Economic and Social Data: The United States, 1790-1970 (2001) and Richard Forstall's Population of States and Counties of the United States: 1790 to 1990 (1996) were used to determine whether a county was enumerated during a given census. If a county was not enumerated, notes from those sources were used to attach the county in question to the county with which it was enumerated. If a county was not enumerated and the notes provide no details, the county was considered 'unattached' and it was merged with other unattached land within the state or territory.

Identifying the specific environmental features and associated density-dependent processes that limit population growth is central to both ecology and conservation. Comparative assessments of sympatric species allow for inference into how ecologically similar species differentially respond to their shared environment, which can be used to inform community-level conservation strategies. Comparative assessments can nevertheless be complicated by interactions and feedback loops among the species in question. We developed an integrated population model based on sixty-one years of ecological data describing the demographic histories of Canvasbacks (Aythya valisineria) and Redheads (Aythya americana), two species of migratory diving ducks that utilize similar breeding habitats and affect each other’s demography through interspecific nest parasitism. We combined this model with a transient life table response experiment to determine the extent that demographic rates, and their contributions to..., DATA COLLECTION We combined a series of long-term data sets into a single integrated population model that provided insights into how variation in seasonal survival (band releases and recoveries) and offspring production (harvest age-ratios) contributed to fluctuations in population growth (breeding survey, harvest estimates) for Canvasbacks and Redheads from 1961–2021. Banding Data – Information regarding the banding and subsequent harvest of ducks was acquired from the GameBirds Database CD (Bird Banding Lab, USGS Patuxent Wildlife Research Center, Laurel MD, USA, version August 2022). Male and female Canvasbacks and Redheads were captured following breeding but prior to the hunting season (Pre-Hunting) as ducklings (Local) or hatch year (HY; fledged juvenile) individuals as well as after hatch year (AHY; adult) individuals or following the hunting season (Post-Hunting) as an undifferentiated mixture of second year (SY) and after second year (ASY) individuals captured and released acr..., , # Manuscript Details:

Journal Name: Ecological Monographs (submitted)

Title: Explaining the divergence of population trajectories for two interacting waterfowl species.

Author(s):

Gibson, D.(1,2a), T.W. Arnold (2), F.E. Buderman (3) D.N. Koons (1),

1 Department of Fisheries, Wildlife, and Conservation Biology, University of Minnesota, St. Paul, MN 55455

2 Department of Ecosystem Science and Management, Pennsylvania State University, University Park, PA 16802

3 Department of Fish, Wildlife, and Conservation Biology & Graduate Degree Program in Ecology, Colorado State University, Fort Collins, Colorado 80523 USA

a Corresponding Author: gibso678@umn.edu

Decomposing the drivers of Canvasback and Redhead population change: Code and data to develop explantory variables, build a population model, and perform a transient life table response experiment

We have provided the raw agricultural (crop.rdata), wetland abundance (**ponds.rdata*...

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

This map shows the predominant language spoken at home by the US population aged 5+. This is shown by Census Tract and County centroids. The data values are from the 2012-2016 American Community Survey 5-year estimates in the S1601 Table for Language Spoken at Home. The popup in the map provides a breakdown of the population age 5+ by the language spoken at home. Data values for other age groups are also available within the data's table. The color of the symbols represent the most common language spoken at home. This predominance map style compares the count of people age 5+ based on what language is spoken at home, and returns the value with the highest count. The census breaks down the population 5+ by the following language options:English OnlyNon-English - SpanishNon-English - Asian and Pacific Islander LanguagesNon-English - Indo European LanguagesNon-English - OtherThe size of the symbols represents how many people are 5 years or older, which helps highlight the quantity of people that live within an area that were sampled for this language categorization. The strength of the color represents HOW predominant an language is within an area. If the symbol is a strong color, it makes up a larger portion of the population. This map is designed for a dark basemap such as the Human Geography Basemap or the Dark Gray Canvas Basemap. See the web map to see the pattern at both the county and tract level. This map helps to show the most common language spoken at home at both a regional and local level. The tract pattern shows how distinct neighborhoods are clustered by which language they speak. The county pattern shows how language is used throughout the country. 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 16, 2018. It was then joined with 2016 vintage centroid points and hosted to ArcGIS Online and into the Living Atlas.Nationally, the breakdown of education for the population 5+ is as follows:Total EstimateMargin of ErrorPercent EstimateMargin of ErrorPopulation 5 years and over298,691,202+/-3,594(X)(X)Speak only English235,519,143+/-154,40978.90%+/-0.1Spanish39,145,066+/-94,57113.10%+/-0.1Asian and Pacific Island languages10,172,370+/-22,5613.40%+/-0.1Other Indo-European languages10,827,536+/-46,3353.60%+/-0.1Other languages3,027,087+/-23,3021.00%+/-0.1