This map shows the 2019 Gross Domestic Product (GDP) for agriculture, forestry, fishing, and hunting. This uses the North American Industry Classification System (NAICS) 11. Examples include crop production; animal production and aquaculture; forestry and logging; fishing, hunting and trapping; and support activities for agriculture and forestry.The size of each symbol shows the GDP for agriculture, forestry, fishing, and hunting. The color represents the percent of a larger geography. For example, counties show the percent of state GDP from agriculture, forestry, fishing, and hunting. States show a percent of region, and Regions show a percent of the national GDP for this NAICS code. This allows us to see which areas contribute to the bigger picture of GDP. You can optionally turn on a layer showing USDA Census of Agriculture figures for Federal spending toward agriculture. This allows us to compare where government money is going in comparison to GDP figures. GDP is the value of goods and services produced within a county. The underlying Living Atlas layer contains 2019 Gross Domestic Product (GDP) estimates from the Bureau of Economic Analysis (BEA) for the nation, regions, states, and counties. Breakdowns by industry available, using North American Industry Classification System (NAICS) groups. Table CAGDP2, downloaded ‎February ‎2, ‎2021.https://www.bea.gov/data/gdp/gdp-county-metro-and-other-areas Null values are either due to the data being unavailable, or not shown to avoid disclosure of confidential information (in these cases, estimates are included in higher-level totals).The percentages of the next highest geography level's GDP are also available, i.e. regions have percentages for nation's GDP, states have percentages of their region's GDP, and counties have percentages of their state's GDP. If the GPD estimate is unavailable, so is the percentage. If a percentage of state is listed as 0.0 but there is a value for GDP, then this value is <0.1, which rounds to zero. Percentages may not add up to 100 due to rounding and null values.Combined Counties:Kalawao County, Hawaii is combined with Maui County. Separate estimates for the jurisdictions making up the combination areas are not available.Virginia combination areas consist of one or two independent cities with 1980 populations of less than 100,000 combined with an adjacent county. The county name appears first, followed by the city name(s). Separate estimates for the jurisdictions making up the combination area are not available. Bedford County, VA includes the independent city of Bedford for all years.Boundaries used to create regions and counties:Boundaries for this layer were created using the Dissolve geoprocessing tool in Pro and the regional and combined county definitions from BEA.

This layer shows Household Pulse Survey data on gender identity and sexual orientation. Gender identity is the internal perception of gender, and how one identifies based on how one aligns or doesn’t align with cultural options for gender. This is a different concept than sex assigned at birth. Sexual orientation is the type of sexual attraction one has the capacity to feel for others, generally labeled based on the gender relationship between the person and the people they are attracted to. This is not the same as sexual behavior or preference.Learn more about how the Census Bureau survey measures sexual orientation and gender identity. This page includes nation-wide characteristics such as age, Hispanic origin and race, and educational attainment. Also read some of their findings about experiences during the COVID-19 pandemic, such as lesbian, gay, bisexual, or transgender (LGBT) adults experiencing higher rates of both economic hardship and mental health hardship. See the questionnaire used in phase 3.2 of the Household Pulse Survey.Source: Household Pulse Survey Data Tables. Data values in this layer are from Week 34 (July 21 - August 2, 2021), the first week that gender identity and sexual orientation questions were part of this survey. Top 15 metros are based on total population and are the same 15 metros available for all Household Pulse Data Tables.This layer is symbolized to show the percent of adults who are lesbian, gay, bisexual, or transgender (LGBT) as well as adults whose gender or sexual orientation was not listed on the survey (LGBTQIA+). The color of the symbol depicts the percentage and the size of the symbol depicts the count. *Percent calculations do not use those who did not report either their gender or sexual orientation in either the numerator or denominator, consistent with methodology used by the source.*Data Prep Steps:Data prep used Table 1 (Child Tax Credit Payment Status and Use, by Select Characteristics) to perform tabular data transformation. SAS to Table conversion tool was used to bring the tables into ArcGIS Pro.The data is joined to 2019 TIGER boundaries from the U.S. Census Bureau.Using the counties in each metro according to the Metropolitan and Micropolitan Statistical Area Reference Files, metro boundaries created via Merge and Dissolve tools in ArcGIS Pro.In preparing the field aliases and long descriptions, "none of these" and "something else" were generally modified to "not listed."

Reason for SelectionProtected natural areas in urban environments provide urban residents a nearby place to connect with nature and offer refugia for some species. They help foster a conservation ethic by providing opportunities for people to connect with nature, and also support ecosystem services like offsetting heat island effects (Greene and Millward 2017, Simpson 1998), water filtration, stormwater retention, and more (Hoover and Hopton 2019). In addition, parks, greenspace, and greenways can help improve physical and psychological health in communities (Gies 2006). Urban park size complements the equitable access to potential parks indicator by capturing the value of existing parks.Input DataSoutheast Blueprint 2024 extentFWS National Realty Tracts, accessed 12-13-2023Protected Areas Database of the United States(PAD-US):PAD-US 3.0national geodatabase -Combined Proclamation Marine Fee Designation Easement, accessed 12-6-20232020 Census Urban Areas from the Census Bureau’s urban-rural classification; download the data, read more about how urban areas were redefined following the 2020 censusOpenStreetMap data “multipolygons” layer, accessed 12-5-2023A polygon from this dataset is considered a beach if the value in the “natural” tag attribute is “beach”. Data for coastal states (VA, NC, SC, GA, FL, AL, MS, LA, TX) were downloaded in .pbf format and translated to an ESRI shapefile using R code. OpenStreetMap® is open data, licensed under theOpen Data Commons Open Database License (ODbL) by theOpenStreetMap Foundation (OSMF). Additional credit to OSM contributors. Read more onthe OSM copyright page.2021 National Land Cover Database (NLCD): Percentdevelopedimperviousness2023NOAA coastal relief model: volumes 2 (Southeast Atlantic), 3 (Florida and East Gulf of America), 4 (Central Gulf of America), and 5 (Western Gulf of America), accessed 3-27-2024Mapping StepsCreate a seamless vector layer to constrain the extent of the urban park size indicator to inland and nearshore marine areas <10 m in depth. The deep offshore areas of marine parks do not meet the intent of this indicator to capture nearby opportunities for urban residents to connect with nature. Shallow areas are more accessible for recreational activities like snorkeling, which typically has a maximum recommended depth of 12-15 meters. This step mirrors the approach taken in the Caribbean version of this indicator.Merge all coastal relief model rasters (.nc format) together using QGIS “create virtual raster”.Save merged raster to .tif and import into ArcPro.Reclassify the NOAA coastal relief model data to assign areas with an elevation of land to -10 m a value of 1. Assign all other areas (deep marine) a value of 0.Convert the raster produced above to vector using the “RasterToPolygon” tool.Clip to 2024 subregions using “Pairwise Clip” tool.Break apart multipart polygons using “Multipart to single parts” tool.Hand-edit to remove deep marine polygon.Dissolve the resulting data layer.This produces a seamless polygon defining land and shallow marine areas.Clip the Census urban area layer to the bounding box of NoData surrounding the extent of Southeast Blueprint 2024.Clip PAD-US 3.0 to the bounding box of NoData surrounding the extent of Southeast Blueprint 2024.Remove the following areas from PAD-US 3.0, which are outside the scope of this indicator to represent parks:All School Trust Lands in Oklahoma and Mississippi (Loc Des = “School Lands” or “School Trust Lands”). These extensive lands are leased out and are not open to the public.All tribal and military lands (“Des_Tp” = "TRIBL" or “Des_Tp” = "MIL"). Generally, these lands are not intended for public recreational use.All BOEM marine lease blocks (“Own_Name” = "BOEM"). These Outer Continental Shelf lease blocks do not represent actively protected marine parks, but serve as the “legal definition for BOEM offshore boundary coordinates...for leasing and administrative purposes” (BOEM).All lands designated as “proclamation” (“Des_Tp” = "PROC"). These typically represent the approved boundary of public lands, within which land protection is authorized to occur, but not all lands within the proclamation boundary are necessarily currently in a conserved status.Retain only selected attribute fields from PAD-US to get rid of irrelevant attributes.Merged the filtered PAD-US layer produced above with the OSM beaches and FWS National Realty Tracts to produce a combined protected areas dataset.The resulting merged data layer contains overlapping polygons. To remove overlapping polygons, use the Dissolve function.Clip the resulting data layer to the inland and nearshore extent.Process all multipart polygons (e.g., separate parcels within a National Wildlife Refuge) to single parts (referred to in Arc software as an “explode”).Select all polygons that intersect the Census urban extent within 0.5 miles. We chose 0.5 miles to represent a reasonable walking distance based on input and feedback from park access experts. Assuming a moderate intensity walking pace of 3 miles per hour, as defined by the U.S. Department of Health and Human Service’s physical activity guidelines, the 0.5 mi distance also corresponds to the 10-minute walk threshold used in the equitable access to potential parks indicator.Dissolve all the park polygons that were selected in the previous step.Process all multipart polygons to single parts (“explode”) again.Add a unique ID to the selected parks. This value will be used in a later step to join the parks to their buffers.Create a 0.5 mi (805 m) buffer ring around each park using the multiring plugin in QGIS. Ensure that “dissolve buffers” is disabled so that a single 0.5 mi buffer is created for each park.Assess the amount of overlap between the buffered park and the Census urban area using “overlap analysis”. This step is necessary to identify parks that do not intersect the urban area, but which lie within an urban matrix (e.g., Umstead Park in Raleigh, NC and Davidson-Arabia Mountain Nature Preserve in Atlanta, GA). This step creates a table that is joined back to the park polygons using the UniqueID.Remove parks that had ≤10% overlap with the urban areas when buffered. This excludes mostly non-urban parks that do not meet the intent of this indicator to capture parks that provide nearby access for urban residents. Note: The 10% threshold is a judgement call based on testing which known urban parks and urban National Wildlife Refuges are captured at different overlap cutoffs and is intended to be as inclusive as possible.Calculate the GIS acres of each remaining park unit using the Add Geometry Attributes function.Buffer the selected parks by 15 m. Buffering prevents very small and narrow parks from being left out of the indicator when the polygons are converted to raster.Reclassify the parks based on their area into the 7 classes seen in the final indicator values below. These thresholds were informed by park classification guidelines from the National Recreation and Park Association, which classify neighborhood parks as 5-10 acres, community parks as 30-50 acres, and large urban parks as optimally 75+ acres (Mertes and Hall 1995).Assess the impervious surface composition of each park using the NLCD 2021 impervious layer and the Zonal Statistics “MEAN” function. Retain only the mean percent impervious value for each park.Extract only parks with a mean impervious pixel value <80%. This step excludes parks that do not meet the intent of the indicator to capture opportunities to connect with nature and offer refugia for species (e.g., the Superdome in New Orleans, LA, the Astrodome in Houston, TX, and City Plaza in Raleigh, NC).Extract again to the inland and nearshore extent.Export the final vector file to a shapefile and import to ArcGIS Pro.Convert the resulting polygons to raster using the ArcPy Feature to Raster function and the area class field.Assign a value of 0 to all other pixels in the Southeast Blueprint 2024 extent not already identified as an urban park in the mapping steps above. Zero values are intended to help users better understand the extent of this indicator and make it perform better in online tools.Use the land and shallow marine layer and “extract by mask” tool to save the final version of this indicator.Add color and legend to raster attribute table.As a final step, clip to the spatial extent of Southeast Blueprint 2024.Note: For more details on the mapping steps, code used to create this layer is available in theSoutheast Blueprint Data Downloadunder > 6_Code.Final indicator valuesIndicator values are assigned as follows:6= 75+ acre urban park5= 50 to <75 acre urban park4= 30 to <50 acre urban park3= 10 to <30 acre urban park2=5 to <10acreurbanpark1 = <5 acre urban park0 = Not identified as an urban parkKnown IssuesThis indicator does not include park amenities that influence how well the park serves people and should not be the only tool used for parks and recreation planning. Park standards should be determined at a local level to account for various community issues, values, needs, and available resources.This indicator includes some protected areas that are not open to the public and not typically thought of as “parks”, like mitigation lands, private easements, and private golf courses. While we experimented with excluding them using the public access attribute in PAD, due to numerous inaccuracies, this inadvertently removed protected lands that are known to be publicly accessible. As a result, we erred on the side of including the non-publicly accessible lands.The NLCD percent impervious layer contains classification inaccuracies. As a result, this indicator may exclude parks that are mostly natural because they are misclassified as mostly impervious. Conversely, this indicator may include parks that are mostly impervious because they are misclassified as mostly

This map shows the relationship between natural resources and oil extraction Gross Domestic Product (GDP) in the US by counties, states, regions, and nationwide. Natural resources and oil is defined by the North American Industry Classification System NAICS) 11, 21. Includes agriculture, forestry, fishing and hunting; and mining, quarrying, and oil and gas extraction.GDP is the value of goods and services produced within a county. The underlying Living Atlas layer contains 2019 Gross Domestic Product (GDP) estimates from the Bureau of Economic Analysis (BEA) for the nation, regions, states, and counties. Breakdowns by industry available, using North American Industry Classification System (NAICS) groups. Table CAGDP2, downloaded ‎February ‎2, ‎2021.https://www.bea.gov/data/gdp/gdp-county-metro-and-other-areas Null values are either due to the data being unavailable, or not shown to avoid disclosure of confidential information (in these cases, estimates are included in higher-level totals).The percentages of the next highest geography level's GDP are also available, i.e. regions have percentages for nation's GDP, states have percentages of their region's GDP, and counties have percentages of their state's GDP. If the GPD estimate is unavailable, so is the percentage. If a percentage of state is listed as 0.0 but there is a value for GDP, then this value is <0.1, which rounds to zero. Percentages may not add up to 100 due to rounding and null values.Combined Counties:Kalawao County, Hawaii is combined with Maui County. Separate estimates for the jurisdictions making up the combination areas are not available.Virginia combination areas consist of one or two independent cities with 1980 populations of less than 100,000 combined with an adjacent county. The county name appears first, followed by the city name(s). Separate estimates for the jurisdictions making up the combination area are not available. Bedford County, VA includes the independent city of Bedford for all years.Boundaries used to create regions and counties:Boundaries for this layer were created using the Dissolve geoprocessing tool in Pro and the regional and combined county definitions from BEA.