This feature layer replaces the Master_RC_Geo_July_2022 feature layer. The original name does not change to allow future data updates without generating a new feature layer. This feature layer represents the changes to the Red Cross corporate geography for Fiscal Year 2025. The data was updated in January 2025 based on the January 2025 update from the original source files from Humanitarian Services, Operations. This Feature Layer supersedes all previous versions of the Red Cross Master Geography and should be used to update any Web Maps using a previous version. This feature layer includes American Red Cross FY'25 Chapter HQ and Region HQ locations American Red Cross FY'25 Chapter Boundaries; American Red Cross FY'25 Region Boundaries; American Red Cross FY'25 Division Boundaries; American Red Cross FY'25 States Boundaries; American Red Cross FY'25 County Boundaries (with Demographics)

This layer represents the Division level geography with associated Division jurisdictions. This feature layer represents the changes to the Red Cross corporate geography for Fiscal Year 2025. The data was updated in January 2025 based on the January 2025 update from the original source files from Humanitarian Services, Operations. This Feature Layer supersedes all previous versions of the Red Cross Master Geography and should be used to update any Web Maps using a previous version.

This layer represents Municipalities in Puerto Rico to provide a geography breakdown. This feature layer represents the changes to the Red Cross corporate geography for Fiscal Year 2025. The data was updated in January 2025 based on the January 2025 update from the original source files from Humanitarian Services, Operations. This Feature Layer supersedes all previous versions of the Red Cross Master Geography and should be used to update any Web Maps using a previous version.

Data Dictionary providing background and insights into the composition and structure of data made available in the table named "RC_Recovery_Progress_SharedOpendata_PermitDetailByAddress" . That table can be retrieved from the City's Open Data site: https://data-santarosa.opendata.arcgis.com/search?tags=PEDhttps://santarosa.maps.arcgis.com/home/item.html?id=4ecf7a61f10847a3b019ce39e7f1cc96

This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau. The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2014-2018). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For a deep dive into the data model including every specific metric, see the Infrastructure Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics. For further explanation of ACS estimates and margin of error, visit Census ACS website.

Linear representation of transition lines as defined in the Regional Centre Land Use By-law.To identify transition lines as represented in Schedule 26 of the Regional Centre Land Use By-law.Reference to the complete package is required to determine permitted land uses in the Regional Centre Plan and By‐law. Contact HRM Planning & Development. THIS DATASET HAS BEEN ARCHIVED FOR HISTORIC PURPOSES AND IS NO LONGER BEING UPDATED. Metadata

Data set containing all Parcels within the Resilient City Zone (Burn Areas) and their Post Disaster Assessment status. Data set last updated June 2019. October 2017 California Wildfire recovery mapping. Supporting data for the Resilient City Recovery Maps (https://arcg.is/1mKyKK)

Linear representation of view lines as defined in the Regional Centre Land Use By-law.To identify view lines as represented in Schedule 5 of the Regional Centre Land Use By-law.Reference to the complete package is required to determine permitted land uses in the Regional Centre Plan and By‐law. Contact HRM Planning & Development. Metadata

Parcels that have changed ownership/title since the October 2017 Tubbs Fire. Based upon .csv data received from Sonoma County Recorder's office on a monthly basis.

This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau. The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2014-2018). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For a deep dive into the data model including every specific metric, see the Infrastructure Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics. For further explanation of ACS estimates and margin of error, visit Census ACS website.

The Department of Housing and Urban Development identifies distressed urban and rural communities that may be eligible for a combination of grants, tax credits for businesses, bonding authority and other benefits.

Polygon representation of shadow impact assessment areas as defined in the Regional Centre Land Use By-law.To identify areas as represented in Schedule 27 which fall under the provisions of Appendix 2 of the Regional Centre LUB.Reference to the complete package is required to determine permitted land uses in the Regional Centre Plan and By‐law. Contact HRM Planning & Development. Metadata

Linear representation of view corridor extents as defined in the Regional Centre Land Use By-law.To identify view corridors as represented in Schedules 14-23 of the Regional Centre Land Use By-law.Reference to the complete package is required to determine permitted land uses in the Regional Centre Plan and By‐law. Contact HRM Planning & Development. THIS DATASET HAS BEEN ARCHIVED FOR HISTORIC PURPOSES AND IS NO LONGER BEING UPDATED. PLEASE SEE RC SMPS View Corridors AND RC LUB View Corridors FOR MORE CURRENT INFORMATIONMetadata

Polygon representation of special areas as defined in the Regional Centre Land Use By-law.To identify special areas as represented in Schedule 4 of the Regional Centre Land Use By-law.Reference to the complete package is required to determine permitted land uses in the Regional Centre Plan and By‐law. Contact HRM Planning & Development. Metadata

Polygon representation of areas where a maximum floor area ratio allowed on a property is applied as defined in the Regional Centre Land Use By-law.To identify areas where maximum floor area ratio provisions apply, as defined in Schedule 8 of the Regional Centre Land Use By-law.Reference to the complete package is required to determine permitted land uses in the Regional Centre Plan and By‐law. Contact HRM Planning & Development. Metadata

Point representation of view terminus sites as defined in the Regional Centre Land Use By-law.To identify view terminus sites as represented in Schedule 5 of the Regional Centre Land Use By-law.Reference to the complete package is required to determine permitted land uses in the Regional Centre Plan and By‐law. Contact HRM Planning & Development. Metadata

Linear representation of maximum front and flanking yard setbacks as defined in the Regional Centre Land Use By-law.To identify where maximum front and flanking yard setbacks apply, as defined in Schedule 10 of the Regional Centre Land Use By-law.Reference to the complete package is required to determine permitted land uses in the Regional Centre Plan and By‐law. Contact HRM Planning & Development. Metadata

Polygon representation of transportation reserves as defined by the Regional Centre Land Use By-law.To identify areas where a transportation reserve applies as defined by Schedule 6 of the Regional Centre Land Use By‐law. Reference to the complete package is required to determine permitted land uses in the Regional Centre Plan and By‐law. Contact HRM Planning & Development. Metadata

October 2017 California Wildfire recovery mapping. Supporting data for the Resilient City Recovery Maps (https://arcg.is/1mKyKK)This non-spatial table reflects current rebuild & building permit information for the construction of new structures in the fire burn area. This data table is intended to enable a user to query and analyze the status/progress/unit counts for each distinct building permit record. Please review the Data Dictionary as described below.Each row in this table represents a distinct site address associated with a Building Permit Record, not a distinct Building Permit Record.Where a building permit is associated with more than 1 (one) site address, that permit will appear in this table more than once (meaning the same distinct permit being listed as more than one row) . This can lead to erroneous results when performing mathematical analysis on this permit data.The data contained in this data set is also available in a version where the data has been "rolled up" such that each distinct record/row in the table represents a distinct parcel. That data can be found in the tables named RC Recovery Progress_Shared & RC Building Permits_Shared, those spatial tables can be retrieved via the City's Open Data site: https://data-santarosa.opendata.arcgis.com/search?tags=PEDA Data Dictionary with detailed information on the structure of this table is available. That item is named Data Dictionary For "RC PermitsByAddress" Table and it can be retrieved via the City's Open Data site: https://data-santarosa.opendata.arcgis.com/search?tags=PEDBackground Information on the October 2017 WildfireRebuildingInformation related to rebuilding homes and businesses affected by the fires is located on the City's Rebuilding site. Additional information related to rebuild progress can be viewed via the Resilient City Recovery Maps. Resilient City AreasTo provide a streamlined permitting process for the recovery of properties destroyed by the fires, the City Council approved several ordinances modifying various requirements such as zoning and fees. One of those ordinances is Ordinance 2017-019 which created new "Resilient City" zoning districts. There are six Resilient City zoning areas and they are named by their general geographic neighborhoods: Coffey Park, Fountaingrove, Fountainview, MontecitoHeights, Oakmont, Hwy 101 Corridor. For simplicity in metrics reporting, "Fountaingrove Area" includes Fountainview, Montecito Heights, and the Hwy 101 Corridor. Residential DestructionOn October 8, 2017 over the course of just thirty minutes, a series of small wildfires fueled by high winds merged into six massive fires in Northern California. The most destructive of those fires was the Tubbs Fire which crossed into Santa Rosa city limits in the early hours of October 9. The Tubbs Fire destroyed homes throughout Santa Rosa’s hillsides, jumped Highway 101, and swept into suburban residential areas at an unprecedented rate. The Nuns Fire, which began October 8, became the largest of the wine country fires, and also caused impact to the City of Santa Rosa. The significant level of devastation caused to homes within the city limits can be found in the City’s Summary of Residential Destruction. 2017 Wildfire IncidentThe City of Santa Rosa commissioned an independent After-Action Report to review the events and actions around the October 2017 Wildfires. The focus of the report highlights the response to the Tubbs and other fires, which caused unprecedented devastation in Santa Rosa. Additional information about the October 2017 wildfires can be found at CAL FIRE 2017 October Fire Siege Reporting. Data AccessibilityAll data reported within these metrics is available for viewing and download via the Santa Rosa Open Data portal

This dataset was developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau across all standard and custom geographies at statewide summary level where applicable. For a deep dive into the data model including every specific metric, see the ACS 2017-2021 Data Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics. Find naming convention prefixes/suffixes, geography definitions and user notes below.Prefixes:NoneCountpPercentrRatemMedianaMean (average)tAggregate (total)chChange in absolute terms (value in t2 - value in t1)pchPercent change ((value in t2 - value in t1) / value in t1)chpChange in percent (percent in t2 - percent in t1)sSignificance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computedSuffixes:_e21Estimate from 2017-21 ACS_m21Margin of Error from 2017-21 ACS_e102006-10 ACS, re-estimated to 2020 geography_m10Margin of Error from 2006-10 ACS, re-estimated to 2020 geography_e10_21Change, 2010-21 (holding constant at 2020 geography)GeographiesAAA = Area Agency on Aging (12 geographic units formed from counties providing statewide coverage)ARC21 = Atlanta Regional Commission modeling area (21 counties merged to a single geographic unit)ARWDB7 = Atlanta Regional Workforce Development Board (7 counties merged to a single geographic unit)BeltLine (buffer)BeltLine Study (subareas)Census Tract (statewide)CFGA23 = Community Foundation for Greater Atlanta (23 counties merged to a single geographic unit)City (statewide)City of Atlanta Council Districts (City of Atlanta)City of Atlanta Neighborhood Planning Unit (City of Atlanta)City of Atlanta Neighborhood Planning Unit STV (3 NPUs merged to a single geographic unit within City of Atlanta)City of Atlanta Neighborhood Statistical Areas (City of Atlanta)City of Atlanta Neighborhood Statistical Areas E02E06 (2 NSAs merged to single geographic unit within City of Atlanta)County (statewide)Georgia House (statewide)Georgia Senate (statewide)MetroWater15 = Atlanta Metropolitan Water District (15 counties merged to a single geographic unit)Regional Commissions (statewide)SPARCC = Strong, Prosperous And Resilient Communities ChallengeState of Georgia (single geographic unit)Superdistrict (ARC region)US Congress (statewide)UWGA13 = United Way of Greater Atlanta (13 counties merged to a single geographic unit)WFF = Westside Future Fund (subarea of City of Atlanta)ZIP Code Tabulation Areas (statewide)The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2017-2021). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2017-2021Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the data manifest: https://garc.maps.arcgis.com/sharing/rest/content/items/34b9adfdcc294788ba9c70bf433bd4c1/data