WARNING: This is a pre-release dataset and its fields names and data structures are subject to change. It should be considered pre-release until the end of 2024. Expected changes:

• Metadata is missing or incomplete for some layers at this time and will be continuously improved.
  
• We expect to update this layer roughly in line with CDTFA at some point, but will increase the update cadence over time as we are able to automate the final pieces of the process.

Purpose

County and incorporated place (city) boundaries along with third party identifiers used to join in external data. Boundaries are from the authoritative source the California Department of Tax and Fee Administration (CDTFA), altered to show the counties as one polygon. This layer displays the city polygons on top of the County polygons so the area isn"t interrupted. The GEOID attribute information is added from the US Census. GEOID is based on merged State and County FIPS codes for the Counties. Abbreviations for Counties and Cities were added from Caltrans Division of Local Assistance (DLA) data. Place Type was populated with information extracted from the Census. Names and IDs from the US Board on Geographic Names (BGN), the authoritative source of place names as published in the Geographic Name Information System (GNIS), are attached as well. Finally, the coastline is used to separate coastal buffers from the land-based portions of jurisdictions. This feature layer is for public use.

Related Layers

This dataset is part of a grouping of many datasets:

1. Cities: Only the city boundaries and attributes, without any unincorporated areas
   • With Coastal Buffers
   • Without Coastal Buffers
2. Counties: Full county boundaries and attributes, including all cities within as a single polygon
   • With Coastal Buffers
   • Without Coastal Buffers
3. Cities and Full Counties: A merge of the other two layers, so polygons overlap within city boundaries. Some customers require this behavior, so we provide it as a separate service.
   • With Coastal Buffers (this dataset)
   • Without Coastal Buffers
4. Place Abbreviations
5. Unincorporated Areas (Coming Soon)
6. Census Designated Places (Coming Soon)
   
7. Cartographic Coastline
   • Polygon
   • Line source (Coming Soon)

Point of Contact

California Department of Technology, Office of Digital Services, odsdataservices@state.ca.gov

Field and Abbreviation Definitions

• COPRI: county number followed by the 3-digit city primary number used in the Board of Equalization"s 6-digit tax rate area numbering system
• Place Name: CDTFA incorporated (city) or county name
• County: CDTFA county name. For counties, this will be the name of the polygon itself. For cities, it is the name of the county the city polygon is within.
• Legal Place Name: Board on Geographic Names authorized nomenclature for area names published in the Geographic Name Information System
• GNIS_ID: The numeric identifier from the Board on Geographic Names that can be used to join these boundaries to other datasets utilizing this identifier.
• GEOID: numeric geographic identifiers from the US Census Bureau Place Type: Board on Geographic Names authorized nomenclature for boundary type published in the Geographic Name Information System
• Place Abbr: CalTrans Division of Local Assistance abbreviations of incorporated area names
• CNTY Abbr: CalTrans Division of Local Assistance abbreviations of county names
• Area_SqMi: The area of the administrative unit (city or county) in square miles, calculated in EPSG 3310 California Teale Albers.
• COASTAL: Indicates if the polygon is a coastal buffer. Null for land polygons. Additional values include "ocean" and "bay".
• GlobalID: While all of the layers we provide in this dataset include a GlobalID field with unique values, we do not recommend you make any use of it. The GlobalID field exists to support offline sync, but is not persistent, so data keyed to it will be orphaned at our next update. Use one of the other persistent identifiers, such as GNIS_ID or GEOID instead.

Accuracy

CDTFA"s source data notes the following about accuracy:

City boundary changes and county boundary line adjustments filed with the Board of Equalization per Government Code 54900. This GIS layer contains the boundaries of the unincorporated county and incorporated cities within the state of California. The initial dataset was created in March of 2015 and was based on the State Board of Equalization tax rate area boundaries. As of April 1, 2024, the maintenance of this dataset is provided by the California Department of Tax and Fee Administration for the purpose of determining sales and use tax rates. The boundaries are continuously being revised to align with aerial imagery when areas of conflict are discovered between the original boundary provided by the California State Board of Equalization and the boundary made publicly available by local, state, and federal government. Some differences may occur between actual recorded boundaries and the boundaries used for sales and use tax purposes. The boundaries in this map are representations of taxing jurisdictions for the purpose of determining sales and use tax rates and should not be used to determine precise city or county boundary line locations. COUNTY = county name; CITY = city name or unincorporated

The Washington Wildlife Habitat Connectivity Working Group (https://waconnected.org/) conducted a Cascades to Coast Analysis to model habitat connectivity for 5 focal species (American Beaver, Cougar, Fisher, Mountain Beaver, and Western Gray Squirrel), as well as for existing protected areas (i.e., naturalness, landscape integrity). These data were combined into a synthesis analysis to identify important connectivity corridors for the region and to identify priority wildlife crossing areas across major highways. Data from the Cascades to Coast Analysis, as well as a technical report summarizing the project are available at https://waconnected.org/coastal-washington-analysis/.This layer was derived from the Western Gray Squirrel core areas and least-cost corridors data from the Washington Wildlife Habitat Connectivity Working Group's Cascades to Coast Analysis. Hexagon grid cells were symbolized based on their proportion of overlap with the core areas and least-cost corridors data. Grid cells with a proportion of core area overlap equal to or greater than 0.2 were assigned the Habitat Concentration Area classification. The least-cost corridor width assigned to each grid cell was based on the majority least-cost corridor width overlapping each grid cell. The grid cell with HexID 45764 was manually removed because no corridors connected to it even though its core area overlap proportion was greater than 0.2. Grid cells with HexIDs 47136 and 48849 were manually added because their core area overlap proportions were less than 0.2, but they still had corridors connecting to them.

The existing CH includes 965 thousand acres of FL waterways was established in 1976. The proposed revised CH encompasses 1.9 million acres of Florida’s waterways. Approximately 38% overlap with current manatee CH.

There is the current and revised CH overlap, newly proposed CH and the no longer be designated under the proposed revision.

Critical habitat constitutes areas considered essential for the conservation of a listed species. These areas provide notice to the public and land managers of the importance of the areas to the conservation of this species. Special protections and/or restrictions are possible in areas where Federal funding, permits, licenses, authorizations, or actions occur or are required.

West Indian manatees can be found along the coastal and inland waters of the southern United Sattes, throughout the Caribbean islands and along the eastern coasts of Mexico and Central America and the northern coast of South America.

These data identify, in general, the areas of proposed critical habitat for West Indian Manatee (Trichechus manatus), for the subspecies Florida Manatee in Florida

More MetadataThe Village Conservation Overlay District (VCOD) layer is a zoning overlay district of the Revised 1993 Loudoun County Zoning Ordinance (Zoning Ordinance) and identifies thirteen small villages and hamlets outside of the boundaries of Loudoun County’s incorporated towns and planned residential communities that contain unique, scenic and historic characteristics that should be maintained and protected. The VCOD is a component of the Official Zoning Ordinance adopted by the Board of Supervisors on January 6, 2003, effective on January 7, 2003, and the Zoning Ordinance further amended on December 6, 2006, and is shown on the Official Loudoun County, VA Zoning Map. The VCOD layer is owned and maintained by Loudoun County, Virginia Department of Building and Development.Purpose:The VCOD is established to recognize the development patterns existing in traditional villages, considered to be valuable heritage resources, and to encourage the retention and reinforcement of the pattern, character and visual identity of the individual village. The data are used extensively for taxation, subdivision review, permitting, and planning. Although the feature class represents the VCOD, a determination should be requested from the Zoning Administrator to verify whether a particular property is located within the VCOD.

This dataset was updated May, 2025.This ownership dataset was generated primarily from CPAD data, which already tracks the majority of ownership information in California. CPAD is utilized without any snapping or clipping to FRA/SRA/LRA. CPAD has some important data gaps, so additional data sources are used to supplement the CPAD data. Currently this includes the most currently available data from BIA, DOD, and FWS. Additional sources may be added in subsequent versions. Decision rules were developed to identify priority layers in areas of overlap.Starting in 2022, the ownership dataset was compiled using a new methodology. Previous versions attempted to match federal ownership boundaries to the FRA footprint, and used a manual process for checking and tracking Federal ownership changes within the FRA, with CPAD ownership information only being used for SRA and LRA lands. The manual portion of that process was proving difficult to maintain, and the new method (described below) was developed in order to decrease the manual workload, and increase accountability by using an automated process by which any final ownership designation could be traced back to a specific dataset.The current process for compiling the data sources includes:* Clipping input datasets to the California boundary* Filtering the FWS data on the Primary Interest field to exclude lands that are managed by but not owned by FWS (ex: Leases, Easements, etc)* Supplementing the BIA Pacific Region Surface Trust lands data with the Western Region portion of the LAR dataset which extends into California.* Filtering the BIA data on the Trust Status field to exclude areas that represent mineral rights only.* Filtering the CPAD data on the Ownership Level field to exclude areas that are Privately owned (ex: HOAs)* In the case of overlap, sources were prioritized as follows: FWS > BIA > CPAD > DOD* As an exception to the above, DOD lands on FRA which overlapped with CPAD lands that were incorrectly coded as non-Federal were treated as an override, such that the DOD designation could win out over CPAD.In addition to this ownership dataset, a supplemental _source dataset is available which designates the source that was used to determine the ownership in this dataset. Data Sources:* GreenInfo Network's California Protected Areas Database (CPAD2023a). https://www.calands.org/cpad/; https://www.calands.org/wp-content/uploads/2023/06/CPAD-2023a-Database-Manual.pdf* US Fish and Wildlife Service FWSInterest dataset (updated December, 2023). https://gis-fws.opendata.arcgis.com/datasets/9c49bd03b8dc4b9188a8c84062792cff_0/explore* Department of Defense Military Bases dataset (updated September 2023) https://catalog.data.gov/dataset/military-bases* Bureau of Indian Affairs, Pacific Region, Surface Trust and Pacific Region Office (PRO) land boundaries data (2023) via John Mosley John.Mosley@bia.gov* Bureau of Indian Affairs, Land Area Representations (LAR) and BIA Regions datasets (updated Oct 2019) https://biamaps.doi.gov/bogs/datadownload.html Data Gaps & Changes:Known gaps include several BOR, ACE and Navy lands which were not included in CPAD nor the DOD MIRTA dataset. Our hope for future versions is to refine the process by pulling in additional data sources to fill in some of those data gaps. Additionally, any feedback received about missing or inaccurate data can be taken back to the appropriate source data where appropriate, so fixes can occur in the source data, instead of just in this dataset.25_1: The CPAD Input dataset was amended to merge large gaps in certain areas of the state known to be erroneous, such as Yosemite National Park, and to eliminate overlaps from the original input. The FWS input dataset was updated in February of 2025, and the DOD input dataset was updated in October of 2024. The BIA input dataset was the same as was used for the previous ownership version.24_1: Input datasets this year included numerous changes since the previous version, particularly the CPAD and DOD inputs. Of particular note was the re-addition of Camp Pendleton to the DOD input dataset, which is reflected in this version of the ownership dataset. We were unable to obtain an updated input for tribral data, so the previous inputs was used for this version.23_1: A few discrepancies were discovered between data changes that occurred in CPAD when compared with parcel data. These issues will be taken to CPAD for clarification for future updates, but for ownership23_1 it reflects the data as it was coded in CPAD at the time. In addition, there was a change in the DOD input data between last year and this year, with the removal of Camp Pendleton. An inquiry was sent for clarification on this change, but for ownership23_1 it reflects the data per the DOD input dataset.22_1 : represents an initial version of ownership with a new methodology which was developed under a short timeframe. A comparison with previous versions of ownership highlighted the some data gaps with the current version. Some of these known gaps include several BOR, ACE and Navy lands which were not included in CPAD nor the DOD MIRTA dataset. Our hope for future versions is to refine the process by pulling in additional data sources to fill in some of those data gaps. In addition, any topological errors (like overlaps or gaps) that exist in the input datasets may thus carry over to the ownership dataset. Ideally, any feedback received about missing or inaccurate data can be taken back to the relevant source data where appropriate, so fixes can occur in the source data, instead of just in this dataset.

The purpose of this layer is to show the extent of the area that allows business owners along Mount Vernon Avenue in the City of Alexandria to be able to operate businesses of certain types with an administrative approval only ( without a Special Use Permit). The following uses are permitted pursuant that the business has met the standards and procedures of section 11-5131. Restaurant up to max of 60 seats, outdoor dining up to 16 seats, amusement enterprise, outdoor food and crafts market, neighborhood outdoor garden center up to a maximum of 10000 sq. ft., and outdoor display of retail goods. Planning and Zoning staff, as well as other agencies in the city government use this layer to identify the appropriate location of the above mentioned special uses in this special overlay zone. This layer assists planning staff in approving applications and is managing compliance with all the conditions that are imposed on the business. The Overlay Zone is designed to enhance economic development and to ease in operating a business in the City of Alexandria.

WARNING: This is a pre-release dataset and its fields names and data structures are subject to change. It should be considered pre-release until the end of 2024. Expected changes:

• Metadata is missing or incomplete for some layers at this time and will be continuously improved.
  
• We expect to update this layer roughly in line with CDTFA at some point, but will increase the update cadence over time as we are able to automate the final pieces of the process.

Purpose

County and incorporated place (city) boundaries along with third party identifiers used to join in external data. Boundaries are from the authoritative source the California Department of Tax and Fee Administration (CDTFA), altered to show the counties as one polygon. This layer displays the city polygons on top of the County polygons so the area isn"t interrupted. The GEOID attribute information is added from the US Census. GEOID is based on merged State and County FIPS codes for the Counties. Abbreviations for Counties and Cities were added from Caltrans Division of Local Assistance (DLA) data. Place Type was populated with information extracted from the Census. Names and IDs from the US Board on Geographic Names (BGN), the authoritative source of place names as published in the Geographic Name Information System (GNIS), are attached as well. Finally, coastal buffers are removed, leaving the land-based portions of jurisdictions. This feature layer is for public use.

Related Layers

This dataset is part of a grouping of many datasets:

1. Cities: Only the city boundaries and attributes, without any unincorporated areas
   • With Coastal Buffers
   • Without Coastal Buffers
2. Counties: Full county boundaries and attributes, including all cities within as a single polygon
   • With Coastal Buffers
   • Without Coastal Buffers
3. Cities and Full Counties: A merge of the other two layers, so polygons overlap within city boundaries. Some customers require this behavior, so we provide it as a separate service.
   • With Coastal Buffers
   • Without Coastal Buffers (this dataset)
4. Place Abbreviations
5. Unincorporated Areas (Coming Soon)
6. Census Designated Places (Coming Soon)
   
7. Cartographic Coastline
   • Polygon
   • Line source (Coming Soon)

Point of Contact

California Department of Technology, Office of Digital Services, odsdataservices@state.ca.gov

Field and Abbreviation Definitions

• COPRI: county number followed by the 3-digit city primary number used in the Board of Equalization"s 6-digit tax rate area numbering system
• Place Name: CDTFA incorporated (city) or county name
• County: CDTFA county name. For counties, this will be the name of the polygon itself. For cities, it is the name of the county the city polygon is within.
• Legal Place Name: Board on Geographic Names authorized nomenclature for area names published in the Geographic Name Information System
• GNIS_ID: The numeric identifier from the Board on Geographic Names that can be used to join these boundaries to other datasets utilizing this identifier.
• GEOID: numeric geographic identifiers from the US Census Bureau Place Type: Board on Geographic Names authorized nomenclature for boundary type published in the Geographic Name Information System
• Place Abbr: CalTrans Division of Local Assistance abbreviations of incorporated area names
• CNTY Abbr: CalTrans Division of Local Assistance abbreviations of county names
• Area_SqMi: The area of the administrative unit (city or county) in square miles, calculated in EPSG 3310 California Teale Albers.
• COASTAL: Indicates if the polygon is a coastal buffer. Null for land polygons. Additional values include "ocean" and "bay".
• GlobalID: While all of the layers we provide in this dataset include a GlobalID field with unique values, we do not recommend you make any use of it. The GlobalID field exists to support offline sync, but is not persistent, so data keyed to it will be orphaned at our next update. Use one of the other persistent identifiers, such as GNIS_ID or GEOID instead.

Accuracy

CDTFA"s source data notes the following about accuracy:

City boundary changes and county boundary line adjustments filed with the Board of Equalization per Government Code 54900. This GIS layer contains the boundaries of the unincorporated county and incorporated cities within the state of California. The initial dataset was created in March of 2015 and was based on the State Board of Equalization tax rate area boundaries. As of April 1, 2024, the maintenance of this dataset is provided by the California Department of Tax and Fee Administration for the purpose of determining sales and use tax rates. The boundaries are continuously being revised to align with aerial imagery when areas of conflict are discovered between the original boundary provided by the California State Board of Equalization and the boundary made publicly available by local, state, and federal government. Some differences may occur between actual recorded boundaries and the boundaries used for sales and use tax purposes. The boundaries in this map are representations of taxing jurisdictions for the purpose of determining sales and use tax rates and should not be used to determine precise city or county boundary line locations. COUNTY = county name; CITY = city name or unincorporated territory; COPRI =

This dataset provides a non-overlapping polygon layer containing a single dominant habitat code. This is derived from the NVC conversion data currently in the Habitat map of Scotland as of October 2023.

These data include the individual responses for the City of Tempe Annual Business Survey conducted by ETC Institute. These data help determine priorities for the community as part of the City's on-going strategic planning process. Averaged Business Survey results are used as indicators for city performance measures. The performance measures with indicators from the Business Survey include the following (as of 2023):1. Financial Stability and Vitality5.01 Quality of Business ServicesThe _location data in this dataset is generalized to the block level to protect privacy. This means that only the first two digits of an address are used to map the _location. When they data are shared with the city only the latitude/longitude of the block level address points are provided. This results in points that overlap. In order to better visualize the data, overlapping points were randomly dispersed to remove overlap. The result of these two adjustments ensure that they are not related to a specific address, but are still close enough to allow insights about service delivery in different areas of the city.Additional InformationSource: Business SurveyContact (author): Adam SamuelsContact E-Mail (author): Adam_Samuels@tempe.govContact (maintainer): Contact E-Mail (maintainer): Data Source Type: Excel tablePreparation Method: Data received from vendor after report is completedPublish Frequency: AnnualPublish Method: ManualData DictionaryMethods:The survey is mailed to a random sample of businesses in the City of Tempe. Follow up emails and texts are also sent to encourage participation. A link to the survey is provided with each communication. To prevent people who do not live in Tempe or who were not selected as part of the random sample from completing the survey, everyone who completed the survey was required to provide their address. These addresses were then matched to those used for the random representative sample. If the respondent’s address did not match, the response was not used.To better understand how services are being delivered across the city, individual results were mapped to determine overall distribution across the city.Processing and Limitations:The _location data in this dataset is generalized to the block level to protect privacy. This means that only the first two digits of an address are used to map the _location. When they data are shared with the city only the latitude/longitude of the block level address points are provided. This results in points that overlap. In order to better visualize the data, overlapping points were randomly dispersed to remove overlap. The result of these two adjustments ensure that they are not related to a specific address, but are still close enough to allow insights about service delivery in different areas of the city.The data are used by the ETC Institute in the final published PDF report.

Beginning with Habitat Focus Areas of Statewide Ecological Significance are areas to prioritize collaborative, non-regulatory conservation actions that benefit biodiversity in Maine.This layer is a product of the Beginning with Habitat partner network. Beginning with Habitat equips Maine communities, landowners, and conservation partners with tools to protect, restore, and connect high-value ecosystems in a changing climate.Focus Areas were mapped to highlight natural areas of statewide biodiversity importance and contain high concentrations of at-risk species and habitats. Though Focus Areas occupy only about 11.5% of Maine's land area, collectively they include examples of over 85% of rare, threatened, and endangered plant and animal species and high-quality examples of all natural community types. Voluntary and collaborative conservation actions for Focus Areas are diverse and may include purchasing land or conservation easements from willing sellers, wetland restoration, aquatic or terrestrial road crossing improvements, municipal planning, public outreach and education, invasive species management, and private landowner technical assistance and financial incentives.Contact BwH team for Focus Areas in Unorganized Territories. How we Identify Focus Areas Focus areas are identified by BwH partners and biologists from the Maine Department of Agriculture, Conservation and Forestry Natural Areas Program (DACF-MNAP), Maine Department of Inland Fisheries and Wildlife (MDIFW), Maine Department of Marine Resources (DMR), U.S. Fish and Wildlife Service (USFWS), The Nature Conservancy (TNC), Maine Audubon, and Maine Coast Heritage Trust (MCHT). Generally, two or more of the following are present in Focus Areas: Globally rare plant or animalThree or more healthy populations of a rare plant speciesAny healthy population of a rare animal speciesRare natural communityExcellent example of a common natural communityGood example of a common natural community and one or more high-value wildlife habitatsLarge undeveloped block and at least one of the following: a good example of a common natural community OR high-value wildlife habitat OR two or more healthy populations of a rare plant species

This dataset depicts the Kittias County Solar Power Production Facilites (SPPFs) Overlay, pursuant to Kittitas County Code 17.61C. This dataset was derived in part from the Washington Department of Agriculture (WSDA) Agricultural Land Use dataset. The dataset was used to identify currently cultivated lands within Kittias County with conservation value as agricultural resources. These lands were desingated as Zone 1, where SPPFs are prohibited, and other lands within th County were designated as Zone 2, where SPPfs are allowed with Conditional Use Permit approval. Fields:Zone: The Overlay Zone depicted. Description: Summary of the regulatory status of the lands depicted on the map.

This layer shows the percentage of treated POD lines within the northwest region during the last 10 years, starting with the beginning of fiscal year 2013 (10/1/2012) through the publish date. Treatment data came from lands managed by the Department of the Interior or the U.S. Forest Service. Treatments include fuels, timber, and brush. All wildland fire or naturally-caused fire data was not included.Analysis will be rerun when there have been significant updates to the PNW POD layer.PODs are a strategic planning tool developed using local expertise and often advanced spatial analysis. They are meant to identify the safest and most effective control lines used to contain a wildfire and can assist in integrating land management objectives and incident response. Layer used to run the analysis on is a a consolidated layer of PODs from multiple units.Contact the R6 Fire and Aviation and NWCC GIS Coordinator, Desraye Assali, desraye.assali@usda.gov if you have any questions.

Depicts those areas of the county where the conservation and management of important potable water resources is a priority, and to recognize those areas that are critical to the production and management of the regional potable water supply. This code allows for well fields and non-vertical water supply infrastructure/structures on those lands that are assets of Pinellas County Utilities or Tampa Bay Water (including necessary supporting minor appurtenances and structures) that facilitate provision of high quality potable water.NOTE: This item has been deprecated and will no longer be accessible after December 31st, 2025. Please use the following ArcGIS Online item as it’s replacement:Pinellas_FLUMResourceManagementOverlay1 https://pinellas-egis.maps.arcgis.com/home/item.html?id=7d496eb3f78248d9b7c59ff172176e8e

World Imagery provides one meter or better satellite and aerial imagery in many parts of the world and lower resolution satellite imagery worldwide. The map includes 15m TerraColor imagery at small and mid-scales (~1:591M down to ~1:72k) and 2.5m SPOT Imagery (~1:288k to ~1:72k) for the world. The map features 0.5m resolution imagery in the continental United States and parts of Western Europe from DigitalGlobe. Additional DigitalGlobe sub-meter imagery is featured in many parts of the world. In the United States, 1 meter or better resolution NAIP imagery is available in some areas. In other parts of the world, imagery at different resolutions has been contributed by the GIS User Community. In select communities, very high resolution imagery (down to 0.03m) is available down to ~1:280 scale. You can contribute your imagery to this map and have it served by Esri via the Community Maps Program. View the list of Contributors for the World Imagery Map.CoverageView the links below to learn more about recent updates and map coverage:What's new in World ImageryWorld coverage mapCitationsThis layer includes imagery provider, collection date, resolution, accuracy, and source of the imagery. With the Identify tool in ArcGIS Desktop or the ArcGIS Online Map Viewer you can see imagery citations. Citations returned apply only to the available imagery at that location and scale. You may need to zoom in to view the best available imagery. Citations can also be accessed in the World Imagery with Metadata web map.UseYou can add this layer to the ArcGIS Online Map Viewer, ArcGIS Desktop, or ArcGIS Pro. To view this layer with a useful reference overlay, open the Imagery Hybrid web map. A similar raster web map, Imagery with Labels, is also available.FeedbackHave you ever seen a problem in the Esri World Imagery Map that you wanted to report? You can use the Imagery Map Feedback web map to provide comments on issues. The feedback will be reviewed by the ArcGIS Online team and considered for one of our updates.

These polygons are used to identify property that is subject to an avigation easement per Grant County Uniform Development Code Chapter 23.04.645(n). Purpose. The purpose of the airport safety overlay (ASO) zoning district is to recognize and protect the airspace around state and federal system airports from airspace obstructions and hazards and incompatible land uses and to protect public health, safety and general welfare within the ASO zone. Applicability. This section is applicable to new buildings and structures and outdoor activities involving human use or assembly, which lie wholly or in part within the ASO zone of public airports with Airport Imaginary Surfaces defined in accordance with Federal Aviation Regulations (FAR), Part 77, "Objects Affecting Navigable Airspace," as shown on the Part 77 Airspace Plan, approach zone, and/or runway protection zone plans for an airport as contained in an airport master plan.

Parcels affected by the adoption of the 2015 International Wildland Urban-Interface Code (WUIC), which was adopted by Austin City Council April9, 2020, and implementation beginning January 1st, 2021. Parcels that are within 1.5 miles of a wildland area greater than 750 acres and parcels within 150 feet of a wildland area greater than 40 acres are wildland_urban_interface_code parcels. Parcels designated as "preserves" have been removed and are not subject to the WUI code.Dataset was created in 2020 by Austin Fire Department Wildfire Division. It was derived from the most recent Travis County Appraisal District (TCAD) Parcels, and queried based upon their planar distance to wildland areas. Wildlands are defined as undeveloped continuous areas,. The wildlands feature class is maintained by the Austin Fire Department and is derived from the City of Austin Planimetric dataset, also known as impervious cover data, and are updated every two years. ArcGIS Pro version 2 software was used to create this dataset. The data is meant to be ingested by a GIS system. Changes to the City of Austin & LTD jurisdiction warrant an update to this dataset. The data is scheduled to be updated every two years.Included in the attributes are parcel condition variables that determine the parcel's "fire hazard severity' class. These include the composite score of three variables: slope score, fuel score, and WUI class (proximity). Slope score was determined by the average degree slope of the area within each parcel and classified as less than 10%, 10% to 25%, or greater then 25%. Fuel score was determined by the average fuel class area within each parcels as defined by the Austin Travis County Community Wildfire Protection Plan (CWPP) and classified as light, medium, or heavy fuels. Proximity class was defined by the proximity of each parcel to wildlands, either as within 1.5 miles of wildlands greater than 750 acres, or within 150 feet of wildlands greater than 40 acres.Description of data fieldsGLOBALID_1 = Used for Global IdentificationOBJECTID = Object IdentificationSLOPE_DEGREE = The average slope of each parcel in degreesFIRE_HAZARD_SEVERITY = The "fire hazard severity" class of each parcelPROXIMITY_CLASS = The proximity class of each parcelSLOPE_CLASS = The slope classification of each parcelFUEL_CLASS = The fuel class of each parcelCREATED_BY = Creators nameCREATED_DATE = Date createdMODIFIED_BY = Modifiers nameMODIFIED_DATE = Date modifiedUNIQUE_ID = Unique Identification number (mirror object id)Shape_Area = Shape areaShape_Length = Shape lengthIteration ID: Parcels_AustinLTD4 2020Contact: Nate Casebeer at Nate.casebeer@austintexas.gov | Austin Fire Department Wildfire Division

Description and PurposeThese data include the individual responses for the City of Tempe Annual Community Survey conducted by ETC Institute. These data help determine priorities for the community as part of the City's on-going strategic planning process. Averaged Community Survey results are used as indicators for several city performance measures. The summary data for each performance measure is provided as an open dataset for that measure (separate from this dataset). The performance measures with indicators from the survey include the following (as of 2022):1. Safe and Secure Communities1.04 Fire Services Satisfaction1.06 Crime Reporting1.07 Police Services Satisfaction1.09 Victim of Crime1.10 Worry About Being a Victim1.11 Feeling Safe in City Facilities1.23 Feeling of Safety in Parks2. Strong Community Connections2.02 Customer Service Satisfaction2.04 City Website Satisfaction2.05 Online Services Satisfaction Rate2.15 Feeling Invited to Participate in City Decisions2.21 Satisfaction with Availability of City Information3. Quality of Life3.16 City Recreation, Arts, and Cultural Centers3.17 Community Services Programs3.19 Value of Special Events3.23 Right of Way Landscape Maintenance3.36 Quality of City Services4. Sustainable Growth & DevelopmentNo Performance Measures in this category presently relate directly to the Community Survey5. Financial Stability & VitalityNo Performance Measures in this category presently relate directly to the Community SurveyMethodsThe survey is mailed to a random sample of households in the City of Tempe. Follow up emails and texts are also sent to encourage participation. A link to the survey is provided with each communication. To prevent people who do not live in Tempe or who were not selected as part of the random sample from completing the survey, everyone who completed the survey was required to provide their address. These addresses were then matched to those used for the random representative sample. If the respondent’s address did not match, the response was not used. To better understand how services are being delivered across the city, individual results were mapped to determine overall distribution across the city. Additionally, demographic data were used to monitor the distribution of responses to ensure the responding population of each survey is representative of city population. Processing and LimitationsThe location data in this dataset is generalized to the block level to protect privacy. This means that only the first two digits of an address are used to map the location. When they data are shared with the city only the latitude/longitude of the block level address points are provided. This results in points that overlap. In order to better visualize the data, overlapping points were randomly dispersed to remove overlap. The result of these two adjustments ensure that they are not related to a specific address, but are still close enough to allow insights about service delivery in different areas of the city. This data is the weighted data provided by the ETC Institute, which is used in the final published PDF report.The 2022 Annual Community Survey report is available on data.tempe.gov. The individual survey questions as well as the definition of the response scale (for example, 1 means “very dissatisfied” and 5 means “very satisfied”) are provided in the data dictionary.Additional InformationSource: Community Attitude SurveyContact (author): Wydale HolmesContact E-Mail (author): wydale_holmes@tempe.govContact (maintainer): Wydale HolmesContact E-Mail (maintainer): wydale_holmes@tempe.govData Source Type: Excel tablePreparation Method: Data received from vendor after report is completedPublish Frequency: AnnualPublish Method: ManualData Dictionary

Used to depict areas in the county that are now developed, or appropriate to be developed, in residential and permanent transient accommodation use; and to recognize such areas as well-suited for the combination of residential and permanent transient accommodation use consistent with the location, density, surrounding uses, transportation facilities and natural resource characteristics of such areas.NOTE: This item has been deprecated and will no longer be accessible after December 31st, 2025. Please use the following ArcGIS Online item as it’s replacement:Pinellas_FLUMResortFacilityOverlayPerm https://pinellas-egis.maps.arcgis.com/home/item.html?id=26abc05722474e17a740be9bc57b6d17

Depicts those areas of the County now used for transport and public/private utility services and to recognize such areas consistent with the need, character, and scale of the transport/utility use relative to surrounding uses, transportation facilities, and natural resource features.NOTE: This item has been deprecated and will no longer be accessible after December 31st, 2025. Please use the following ArcGIS Online item as it’s replacement:Pinellas_FLUMTUOverlay https://pinellas-egis.maps.arcgis.com/home/item.html?id=8f8d2e14d9e7426d9c2b8a4107b8b255

Classified raster dataset showing working landscape areas and their overlap with ecological values and or socio-cultural values.To identify working landscape areas which are also significant for other themes (ecological and socio-cultural values).Please refer to Halifax Green Network Plan section 2.5.1 for more information. See also the Halifax Green Network Plan Data Package file for more information about the released data. Metadata