State Legislative Districts - Upper HousesThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Census Bureau (USCB), displays State Legislative Districts (SLDs) in the upper houses of state legislatures in the United States. According to the USCB, "SLDs are the areas from which members are elected to state legislatures. They embody the upper (senate) and lower (house) chambers of a state legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for data presentation; there are no data by lower houses for either Nebraska or the District of Columbia".Georgia's State Senate District 1 and South Carolina's State District 46Data currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (2022 State Legislative Districts - Upper) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 92 (Series Information for State Legislative District (SLD) Upper Chamber State-based TIGER/Line Shapefiles, Current)OGC API Features Link: (State Legislative Districts - Upper Houses - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: 2018 State Legislative District Reference MapsFor 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

This feature class includes States, Counties or Boroughs, Congressional Districts, Alaska Recording Districts, County Subdivisions, and Places boundaries that are derived from the latest official Census Bureau and Alaska Department of Natural Resources datasets. Features within Forest Service Administrative Forest boundaries may have been modified by the Forest Service for improved accuracy and spatial coincidence(vertical integration).This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService OGC WMS CSV Shapefile GeoJSON KML For complete information, please visit https://data.gov.

Virginia's 1st Congressional District GIS

original data sets in .kml (high and low resolution), now also in .geojson, .topojson, and .shp.

Dear Commission: I have attached the GeoJSON data for a revised version of the Congressional map that I originally submitted to the Commission in early July 2021. This revised map takes into account the recently-released granular 2020 US Census results. You can also view this new map on Dave's Redistricting website at:https://davesredistricting.org/maps#viewmap::61ea57de-e691-47ad-aa1a-0f4b5eb39eb7I became interested in this process as a mapping and community nerd (rather than a political guru), after becoming aware that the initial preliminary plan cut my home city of Boulder off from the western part of Boulder county. I don't think that is a good idea -- Boulder is so linked to the communities to the west in the foothills up to the Continental Divide, and vice versa. So, I wanted to put my GIS background to work and help the Commission and staff envision alternate configurations of districts which solve that issue.In this new map based on the 2020 Census, I took much greater care to not split municipal boundaries between different districts. All Congressional districts are within +/1 person of the target population. Also, after reviewing a number of the public comments here and ones made during hearings, I put in my best effort to capture several communities of interest in this revised map:1) SLV counties kept whole and associated with district 3 2) Multiple El Paso County military installations all kept together in district 5 3) Continental Divide used as natural boundary for much of the northern Front Range (keeping Boulder, Gilpin, and Clear Creek counties together in district 2 along with all of Larimer Co.)4) Arkansas River valley kept together below Salida (running downslope/east through Pueblo County, etc)5) Northern Douglas County allocated to a southern/western Denver metro district (7th district)6) 7th district is made to be extremely competitive (within 1 point based on the 2016-2020 composite competitiveness score) 7) New 8th district centered solidly in north Denver metro (northern JeffCo, Broomfield, western Adams, far southwestern Weld) 8) Denver City/County kept whole with only minor population-balancing nibblesThank you for your continued work and consideration.Sincerely,Laura J. Westerfield

Boundaries for the Tennessee House of Representatives. Boundary data is from 2022, population data is from the 2020 Census. Representatives are from www.capitol.tn.gov.

This feature class includes States, Counties or Boroughs, Congressional Districts, Alaska Recording Districts, County Subdivisions, and Places boundaries that are derived from the latest official Census Bureau and Alaska Department of Natural Resources datasets. Features within Forest Service Administrative Forest boundaries may have been modified by the Forest Service for improved accuracy and spatial coincidence(vertical integration).This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService OGC WMS CSV Shapefile GeoJSON KML For complete information, please visit https://data.gov.

NYC Neighborhoods polygons and correlated data with their respective Postal Codes, Assembly Districts, Community Districts, Congressional Districts, Council Districts and State Senate Districts created by Ontodia. There are hundreds of neighborhoods in New York City's five boroughs, each with unique characteristics and histories. Many historical neighborhood names are derived from the names of the previously independent villages, towns, and cities that were incorporated into into the City of New York in the consolidation of 1898. Other neighborhood names have been introduced by real estate developers and urban planners, sometimes contentiously. Boundaries of neighborhoods are notoriously fuzzy, although many boundaries are widely agreed upon. Complicating the definition of neighborhood further, boundaries may overlap, some neighborhoods may function as a micro-neighborhood within another neighborhood, or a larger district which can be made up of multiple neighborhoods. Names and boundaries of neighborhoods shift over time; they are determined by the collective conscious of the people who live, work, and play in these places. There is never an official version of neighborhoods, but the concept is deeply meaningful to many people. In many cases a New Yorker is just as proud to claim identity with a particular neighborhood, and visitors plan their trips around visits to specific neighborhoods. To display data about neighborhoods on NYCpedia we created our own neighborhood boundaries, 264 in all. In order to display a continuous map with no overlap some boundaries have been stretched or shrunk, and neighborhoods have been omitted in this version. We intend to expand our work developing neighborhood polygon files (all released with open source license) and also to collect and organize as many meaningful alternative versions of neighborhood boundaries as possible. If you are a map geek or software developer who builds apps about New York City you can find the shapefile and geoJSON of the NYCpedia neighborhoods on Data Wrangler. Drop us a line if you see any errors, or if you have suggestions for how to improve our conception of NYC geography.

Dear Commission: Happy Independence Day holiday! I am a resident of Boulder County and have a deep background in GIS technologies and demographic mapping applications. I've been following congressional redistricting developments from the commission closely over the past couple weeks. It's pretty cool to be able to "get my map geek on" and create a map of my own (using Dave's Redistricting App and exported to GeoJSON format -- file attached) which adheres as closely as possible to the specifications of Amendment Y (particularly with respect to equal representation, not splitting political jurisdictions -- counties, cities, etc. -- and reflecting communities of interest). I also worked to be as responsive in my map as possible to many of the points raised in other public comments submitted to the commission thus far. I feel quite good about the result and would like to share that with you at this time. This map can also be viewed online at: https://davesredistricting.org/maps#viewmap::d45019ad-0d0e-41e1-8949-4325bd031b20 Highlights of the attached map are as follows: - Only 6 counties are split in this plan, fewer than the existing 2010 CD map (7 splits) or current CD preliminary plan (9 splits). The 6 splits are: * Teller * Adams * Arapahoe * Jefferson * Weld * Denver -- very minimally split just to necessarily shed extra population from the 1st CD - Partisan split of districts is well-representative of the state overall: * GOP districts: 2 solid (4th and 5th CDs), 2 tilt (3rd and 7th CDs) * DEM districts: 2 solid (1st and 2nd CDs), 2 lean (6th and 8th CDs) - Several cities/towns which are split between different counties are kept whole in single district -- e.g., Longmont and Erie fall across both Boulder and Weld counties and those are kept together in a CD (which is what necessitated the relatively small splitting of Weld County) - Variance in population between all 8 districts is <10 people - Sensitive to multiple ethnic/cultural, economic, and political/social communities of interest - Racial/demographic splits: * Hispanic population

20% in 3 districts (4th, 8th, and 1st CDs) * Black population >10% in 6th CD, ~10% in 1st CD * Overall minority population >30% in 2 districts (1st and 6th CDs), 25-30% in 3 additional districts (8th, 4th, and 5th CDs) - Two predominantly rural districts: * Western Slope (3rd CD -- tilt GOP) * Eastern Plains (4rd CD -- solid GOP) - New 8th CD allocated to north Denver metro-Boulder commuter crescent (northeastern Jefferson, Broomfield, and western Adams counties) and has a denser Hispanic community than other non-1st CD metro districts (i.e., denser than the 2nd, 6th, and 7th CDs) - San Luis Valley/SLV kept whole within 3rd CD - Arkansas River valley below Salida kept whole within 4rd CD - Continental Divide used as natural boundary between North-central districts (between 2nd and 3rd CDs) - CSU and CU maintained within 2nd CD (Boulder and Larimer counties are entirely within 2nd CD) Thank you for your service to our state and consideration of my submission. Sincerely, Laura J. Westerfield

This feature class includes States, Counties or Boroughs, Congressional Districts, Alaska Recording Districts, County Subdivisions, and Places boundaries that are derived from the latest official Census Bureau and Alaska Department of Natural Resources datasets. Features within Forest Service Administrative Forest boundaries may have been modified by the Forest Service for improved accuracy and spatial coincidence(vertical integration).This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService OGC WMS CSV Shapefile GeoJSON KML For complete information, please visit https://data.gov.

This feature class includes States, Counties or Boroughs, Congressional Districts, Alaska Recording Districts, County Subdivisions, and Places boundaries that are derived from the latest official Census Bureau and Alaska Department of Natural Resources datasets. Features within Forest Service Administrative Forest boundaries may have been modified by the Forest Service for improved accuracy and spatial coincidence(vertical integration).This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService OGC WMS CSV Shapefile GeoJSON KML For complete information, please visit https://data.gov.

U.S. Census BlocksThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Census Bureau (USCB), displays Census Blocks in the United States. A brief description of Census Blocks, per USCB, is that "Census blocks are statistical areas bounded by visible features such as roads, streams, and railroad tracks, and by nonvisible boundaries such as property lines, city, township, school district, county limits and short line-of-sight extensions of roads." Also, "the smallest level of geography you can get basic demographic data for, such as total population by age, sex, and race."Census Block 1007Data currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Census Blocks) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 69 (Series Information for 2020 Census Block State-based TIGER/Line Shapefiles, Current)OGC API Features Link: (U.S. Census Blocks - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: What are census blocksFor 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

The USDA Forest Service Rapid Assessment of Vegetation Condition after Wildfire (RAVG) program produces geospatial and related data representing post-fire vegetation condition by means of standardized change detection methods based on Landsat or similar multispectral satellite imagery. RAVG data products characterize the impact of disturbance (fire) on vegetation within a fire perimeter, and include estimates of percent change in live basal area (BA), percent change in canopy cover (CC), and the standardized composite burn index (CBI). Standard thematic products include 7-class percent change in basal area (BA-7), 5-class percent change in canopy cover (CC-5), and 4-class CBI (CBI-4). Contingent upon the availability of suitable imagery, RAVG products are prepared for all wildland fires reported within the conterminous United States (CONUS) that include at least 1000 acres of forested National Forest System (NFS) land (500 acres for Regions 8 and 9 as of 2016). Data for individual fires are typically made available within 45 days after fire containment ("initial assessments"). Late-season fires, however, may be deferred until the following spring or summer ("extended assessments"). Annual national mosaics of each thematic product are prepared at the end of the fire season and updated, as needed, when additional fires from the given year are processed. The annual mosaics are available via the Raster Data Warehouse (RDW, see https://apps.fs.usda.gov/arcx/rest/services/RDW_Wildfire). A combined perimeter dataset, including the burn boundaries for all published Forest Service RAVG fires from 2012 to the present, is likewise updated as needed (at least annually). This current dataset is derived from the combined perimeter dataset and adds spatial information about land ownership (National Forest) and wilderness status, as well as the areal extent of forested land (pre-fire) that experience a modeled BA loss above 50 and 75 percent.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService OGC WMS CSV Shapefile GeoJSON KML For complete information, please visit https://data.gov.