This dataset depicts devlopment credits within Mono County, CA as defined in Chapter 12 of the Mono County General Plan. Section 12.010 states: Agriculture is an important component of the Mono County economy and cultural identity. The landowners of two valleys in particular, Bridgeport and Hammil, have expressed a strong desire to preserve their agriculturally designated lands. In these regions, a development credit program was crafted in the 1980s that allocated a fixed number of development credits to each parcel of agriculturally designated land based upon the total acreage of the individual parcel, or the total aggregated acreage of each individual landowner. Historically a “ledger” of development credits was maintained by the Community Development Department. This ledger is no longer maintained, as the number of development credits is tracked for each parcel directly on the Land Use Designation maps. Previously, the Area Plans for Bridgeport and Hammil valleys have described the Development Credits program. This chapter was created during the 2013 General Plan Update to better organize information regarding the existing development credit program and facilitate expanded agriculture preservation policies.Section 12.030 defines a development credit as: One development credit permits the construction of one single-family residence. Accessory Dwelling Units, pursuant to Chapter 16 of the Mono County Land Development Regulations, shall not be considered as a development credit.

ArcGIS Online is a cloud-based mapping and analysis solution. As it is a hosted service, credits are consumed for cloud storage and cloud computing. Most of what you do in AGOL will not consume credits: for example using Living Atlas data. To find out more information about credit costs please refer to the following link:

Credit Trade Areas exist only in the Downtown Zones in the 2016 Zoning Regulations and are generated by the development of residential, arts, or preferred uses and may also be generated on historic properties through conservation efforts. Credits can also be used/converted/or generated under specified circumstances if the properties were eligible for Transferable Development Rights (TDR) or Combined Lot Development (CLD) under the 1958 Zoning Regulations.

Laatste update: 10 november 2025.Met de analyse tools van ArcGIS kunnen verschillende taken uitgevoerd worden, bijvoorbeeld gegevens samenvatten, locaties zoeken, patronen analyseren, enzovoort. Omdat deze tools makkelijk te gebruiken zijn, is het voor iedereen in de organisatie mogelijk hiermee aan de slag te gaan.Bij het gebruik van deze tools worden credits gebruikt. Hoeveel credits het kost heeft te maken met welke tool gebruikt wordt, hoe de tool wordt ingesteld en op hoeveel objecten de tool wordt toegepast. Wanneer je bijvoorbeeld heel Nederland gaat geocoderen, kost dit erg veel credits. In de meeste gevallen is het echter voldoende om een deel van Nederland te geocoderen.

This video is designed to help you check out and create a report on your schools consumption of credits in ArcGIS Online.If you would like to know more about credits please watch the video referenced at https://arcg.is/1reWq4ArcGIS Online Administration.Video recorded - April 2020

Credit Union locations provided by the Department of Insurance Securities and Banking (DISB). The Banking Bureau of the Department of Insurance, Securities and Banking (DISB) regulates District of Columbia Chartered Banks, mortgage companies and consumer finance companies. The Bureau strives to ensure a sound and thriving financial services community that provides the products, credit and capital vital to the needs of District of Columbia residents and businesses. DISB charters and regulates District of Columbia banks and other DC depository financial institutions. DISB also regulates non-depository financial institutions such as mortgage lenders and brokers, money transmitters, consumer finance companies and check cashers. The data is updated irregularly as needed.

HUD provided site locations for developments using Low-Income Housing Tax Credits for 2015. Data was obtained for the Housing section of Little Caesar's Arena District Needs Assessment.Click here for metadata (descriptions of the fields).

1. This map is intended as a current snapshot of information that can be disclosed publicly regarding tax credit seismic surveys.2. Representation on this map does not guarantee public release and is subject to statutory requirements in effect at the time of acquisition and application for tax credit.3. Release is subject to public notice and permission of private oil and gas mineral estate owner where applicable. Some surveys require clipping to mineral ownership boundaries; actual map extents of released datasets may differ from those shown here. 4. Year label "Released" surveys denote actual release year. Year label "Eligible" and "Issued" denote the year in which the data is eligible for release and distribution under AS 43.55.025(f)(2)(c), most tax credit seismic projects are held confidential for 10 years from completion of initial seismic processing. 5. Map does not include surveys whose initial seismic processing was completed less than 10 years ago but prior to legislative adoption of the disclosure clause of AS 43.55.025(f)(5). Seismic surveys acquired with credits under AS 43.55.023 are not subject to disclosure under AS 43.55.025(f)(5), and cannot be represented here until their confidentiality period has expired.6. Additional qualifying surveys will be added to this map as new tax credit certificates are issued or as changes in confidentiality status allows.

Polygon geometry with attributes displaying National Historic Districts with tax credit incentives in East Baton Rouge Parish, Louisiana.

Federal and state rehabilitation tax credits help to stimulate private investment, create jobs, restore historic buildings and jump start the revitalization seen in Vermont’s Designated Downtowns and Village Centers. This layer identifies the locations of state tax credit projects. Learn more about the Vermont Downtown and Village Center Tax Credits.

The New Markets Tax Credit (NMTC) is designed to support investment in communities and meet the housing needs of residents. The NMTC Program provides tax credits for investment into operating businesses and development projects located in qualifying "distressed" communities by certified Community Development Entities (CDEs).

The Community Development Financial Institutions (CDFI) Fund, a division of the US Department of the Treasury, administers the New Markets Tax Credit (NMTC). The NMTC Program incentivizes community development and economic growth through the use of tax credits that attract private investment to distressed communities. This layer depicts area that are NMTC Qualified.New Market Tax Credit Program Note that the latest eligibility criteria use Census American Community Survey (ACS) 2016-2020 estimates.

For more information on DCA's incentive programs:https://dca.georgia.gov/financing-tools/incentives

This feature layer provides access to OpenStreetMap (OSM) point data of medical facilities for Africa, which is updated every 15 minutes with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM point (node) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes amenity features defined as a query against the hosted feature layer where the amenity value is any of 'hospital', 'clinic', 'doctors', or 'pharmacy'.In OSM, amenities are useful and important facilities for visitors and residents, such as hospitals and clinics. These features are identified with an amenity tag. There are thousands of different tag values used in the OSM database. In this feature layer, unique symbols are used for the most common amenity tags used for medical facilities.Zoom in to large scales (e.g. Neighborhood level or 1:20k scale) to see the amenity features display. You can click on a feature to get the name of the amenity. The name of the amenity will display by default at very large scales (e.g. Building level of 1:2k scale). Labels can be turned off in your map if you prefer.Create New LayerIf you would like to create a more focused version of this medical facilities layer displaying just one or two amenity types, you can do that easily! Just add the layer to a map, copy the layer in the content window, add a filter to the new layer (e.g. amenity is hospital), rename the layer as appropriate, and save layer. You can also change the layer symbols or popup if you like. Esri will publish a few such layers (e.g. Places of Worship, Schools, and Parking) that are ready to use, but not for every type of amenity.Important Note: if you do create a new layer, it should be provided under the same Terms of Use and include the same Credits as this layer. You can copy and paste the Terms of Use and Credits info below in the new Item page as needed.

Summary

Rail Crossings is a spatial file maintained by the Federal Railroad Administration (FRA) for use by States and railroads.

Description

FRA Grade Crossings is a spatial file that originates from the National Highway-Rail Crossing, Inventory Program. The program is to provide information to Federal, State, and local governments, as well as the railroad industry for the improvements of safety at highway-rail crossing.

Credits

Federal Railroad Administration (FRA)

Use limitations

There are no access and use limitations for this item.

Extent

West -79.491008 East -75.178954 North 39.733500 South 38.051719

Scale Range Maximum (zoomed in) 1:5,000 Minimum (zoomed out) 1:150,000,000

ArcGIS Metadata ▼►Topics and Keywords ▼►Themes or categories of the resource  transportation

* Content type  Downloadable Data Export to FGDC CSDGM XML format as Resource Description No

Temporal keywords  2013

Theme keywords  Rail

Theme keywords  Grade Crossing

Theme keywords  Rail Crossings

Citation ▼►Title rr_crossings Creation date 2013-03-15 00:00:00

Presentation formats  * digital map

Citation Contacts ▼►Responsible party  Individual's name Raquel Hunt Organization's name Federal Railroad Administration (FRA) Contact's position GIS Program Manager Contact's role  custodian

Responsible party  Organization's name Research and Innovative Technology Administration/Bureau of Transportation Statistics Individual's name National Transportation Atlas Database (NTAD) 2013 Contact's position Geospatial Information Systems Contact's role  distributor

Contact information  ▼►Phone  Voice 202-366-DATA

Address  Type  Delivery point 1200 New Jersey Ave. SE City Washington Administrative area DC Postal code 20590 e-mail address answers@BTS.gov

Resource Details ▼►Dataset languages  * English (UNITED STATES) Dataset character set  utf8 - 8 bit UCS Transfer Format

Spatial representation type  * vector

* Processing environment Microsoft Windows 7 Version 6.1 (Build 7600) ; Esri ArcGIS 10.2.0.3348

Credits Federal Railroad Administration (FRA)

ArcGIS item properties  * Name USDOT_RRCROSSINGS_MD * Size 0.047 Location withheld * Access protocol Local Area Network

Extents ▼►Extent  Geographic extent  Bounding rectangle  Extent type  Extent used for searching * West longitude -79.491008 * East longitude -75.178954 * North latitude 39.733500 * South latitude 38.051719 * Extent contains the resource Yes

Extent in the item's coordinate system  * West longitude 611522.170675 * East longitude 1824600.445629 * South latitude 149575.449134 * North latitude 752756.624659 * Extent contains the resource Yes

Resource Points of Contact ▼►Point of contact  Individual's name Raquel Hunt Organization's name Federal Railroad Administration (FRA) Contact's position GIS Program Manager Contact's role  custodian

Resource Maintenance ▼►Resource maintenance  Update frequency  annually

Resource Constraints ▼►Constraints  Limitations of use There are no access and use limitations for this item.

Spatial Reference ▼►ArcGIS coordinate system  * Type Projected * Geographic coordinate reference GCS_North_American_1983_HARN * Projection NAD_1983_HARN_StatePlane_Maryland_FIPS_1900_Feet * Coordinate reference details  Projected coordinate system  Well-known identifier 2893 X origin -120561100 Y origin -95444400 XY scale 36953082.294548117 Z origin -100000 Z scale 10000 M origin -100000 M scale 10000 XY tolerance 0.0032808333333333331 Z tolerance 0.001 M tolerance 0.001 High precision true Latest well-known identifier 2893 Well-known text PROJCS["NAD_1983_HARN_StatePlane_Maryland_FIPS_1900_Feet",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1312333.333333333],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-77.0],PARAMETER["Standard_Parallel_1",38.3],PARAMETER["Standard_Parallel_2",39.45],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2893]]

Reference system identifier  * Value 2893 * Codespace EPSG * Version 8.1.1

Spatial Data Properties ▼►Vector  ▼►* Level of topology for this dataset  geometry only

Geometric objects  Feature class name USDOT_RRCROSSINGS_MD * Object type  point * Object count 1749

ArcGIS Feature Class Properties  ▼►Feature class name USDOT_RRCROSSINGS_MD * Feature type Simple * Geometry type Point * Has topology FALSE * Feature count 1749 * Spatial index TRUE * Linear referencing FALSE

Data Quality ▼►Scope of quality information  ▼►Resource level  attribute Scope description  Attributes The States and railroads maintain their own file and get updated to the FRA. The information is reported to the FRA on the U.S. DOT-ARR Crossing inventory form.

Attributes The quality of the inventory can vary because a record of grade crossing location is being maintained by each state and railroad that is responsible for maintaining its respective information.

Lineage ▼►Lineage statement The data was downloaded from the HWY-Rail Crossing Inventory Files. All crossings that were closed or abandon were queried out of the data. All of the crossings with a zero within the latitude or longitude were queried out. Any crossing outside a bounding box of box ((Latitude >= 18 & Latitude <= 72) AND (Longitude >= -171 & Longitude <= -63)) were queried out.

Geoprocessing history ▼►Process  Date 2013-08-14 10:41:15 Tool location c:\program files (x86)\arcgis\desktop10.0\ArcToolbox\Toolboxes\Data Management Tools.tbx\Project Command issued Project RR_CROSSINGS_MD_USDOT \shagbfs\gis_projects\Railroad_Crossings_MD\Railroad_Crossings_MD.gdb\RR_CROSSINGS_MD_USDOT_83FTHARN PROJCS['NAD_1983_HARN_StatePlane_Maryland_FIPS_1900_Feet',GEOGCS['GCS_North_American_1983_HARN',DATUM['D_North_American_1983_HARN',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Lambert_Conformal_Conic'],PARAMETER['False_Easting',1312333.333333333],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',-77.0],PARAMETER['Standard_Parallel_1',38.3],PARAMETER['Standard_Parallel_2',39.45],PARAMETER['Latitude_Of_Origin',37.66666666666666],UNIT['Foot_US',0.3048006096012192]] WGS_1984_(ITRF00)_To_NAD_1983_HARN GEOGCS['GCS_WGS_1984',DATUM['D_WGS_1984',SPHEROID['WGS_1984',6378137.0,298.25722356]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]] Include in lineage when exporting metadata No

Distribution ▼►Distributor  ▼►Contact information  Individual's name Office of Geospatial Information Systems Organization's name Research and Innovative Technology Administration's Bureau of Transportation Statistics (RITA/BTS) Contact's role  distributor

Contact information  ▼►Phone  Voice 202-366-DATA

Address  Type  Delivery point 1200 New Jersey Ave. SE City Washington Administrative area DC Postal code 20590 Country US e-mail address answers@bts.gov

Available format  Name Shapefile Version 2013 File decompression technique no compression applied

Ordering process  Instructions Call (202-366-DATA), or E-mail (answers@bts.gov) RITA/BTS to request the National Transportation Atlas Databases (NTAD) 2013 DVD. The NTAD DVD can be ordered from the online bookstore at www.bts.gov. Individual datasets from the NTAD can also be downloaded from the Office of Geospatial Information Systems website at http://www.bts.gov/programs/geographic_information_services/

Transfer options  Transfer size 6.645

Medium of distribution  Medium name  DVD

How data is written  iso9660 (CD-ROM) Recording density 650 Density units of measure Megabytes

Transfer options  Online source  Description  National Transportation Atlas Databases (NTAD) 2013

Distribution format  * Name Shapefile Version 2013

Transfer options  * Transfer size 0.047

Online source  Location http://www.bts.gov/programs/geographic_information_services/

Fields ▼►Details for object USDOT_RRCROSSINGS_MD ▼►* Type Feature Class * Row count 1749

Field FID ▼►* Alias FID * Data type OID * Width 4 * Precision 0 * Scale 0 * Field description Internal feature number.

* Description source ESRI

* Description of values Sequential unique whole numbers that are automatically generated.

Field Shape ▼►* Alias Shape * Data type Geometry * Width 0 * Precision 0 * Scale 0 * Field description Feature geometry.

* Description source ESRI

* Description of values Coordinates defining the features.

Field OBJECTID ▼►* Alias OBJECTID * Data type Integer * Width 9 * Precision 9 * Scale 0

Field CROSSING ▼►* Alias CROSSING * Data type String * Width 7 * Precision 0 * Scale 0 Field description US DOT Valid Crossing ID Number

Description source FRA

Field RAILROAD ▼►* Alias RAILROAD * Data type String * Width 4 * Precision 0 * Scale 0 Field description The

Credits are a reduction in federal, state and local taxes depending upon the credit program/s a person or entity participates with.

Retirement Notice: This item is in mature support as of June 2023 and will be retired in December 2025. A replacement item has not been identified at this time. Esri recommends updating your maps and apps to phase out use of this item.This shows the market potential that an adult has monthly credit card expenditures over $2000 in the U.S. in 2022 in a multiscale map (by country, state, county, ZIP Code, tract, and block group).The pop-up is configured to include the following information for each geography level:Market Potential Index and count of adults expected to have average monthly credit card expenditures over $2000Market Potential Index and count of adults expected to own various numbers of credit/debit cardsMarket Potential Index and count of adults expected to use various credit card rewards methods Permitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

Low Income Housing Tax Credit PropertiesThis National Geospatial Data Asset (NGDA) dataset, shared as a Department of Housing and Urban Development (HUD) feature layer, displays low income housing tax credit properties in the United States. Per HUD, "the Low-Income Housing Tax Credit (LIHTC) is the primary Federal program for creating affordable housing in the United States. The LIHTC program gives State and local LIHTC-allocating agencies the authority to issue tax credits for the acquisition, rehabilitation, or new construction of rental housing targeted to lower-income households. The location of the property is derived from the address of the building with the most units".Lawndale Restoration, Chicago, ILData currency: current federal service (Low Income Housing Tax Credit Properties)NGDAID: 132 (Assisted Housing - Low Income Housing Tax Credit Properties - National Geospatial Data Asset (NGDA))OGC API Features Link: Not AvailableFor more information, please visit: Low-Income Housing Tax Credit (LIHTC)Support documentation: Data Dictionary - Low Income Tax Credit ProgramFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Real Property Theme Community. Per the Federal Geospatial Data Committee (FGDC), Real Property is defined as "the spatial representation (location) of real property entities, typically consisting of one or more of the following: unimproved land, a building, a structure, site improvements and the underlying land. Complex real property entities (that is "facilities") are used for a broad spectrum of functions or missions. This theme focuses on spatial representation of real property assets only and does not seek to describe special purpose functions of real property such as those found in the Cultural Resources, Transportation, or Utilities themes."For other NGDA Content: Esri Federal Datasets

The number of residential properties that received the homeowners tax credit per 1,000 residential properties within an area. The homeowner's tax credit sets a limit on the amount of property taxes any homeowner must pay based upon his or her income. Source: Baltimore City Department of Finance Years Available: 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2021, 2023

Urban areas designated by DEO in which tax credits against corporate income tax or sales and use tax are provided to new and expanding businesses that hire a specific number of employees according to the established criteria and are predominantly engaged in (or headquarters for) specified industries.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_UrbanJobTaxCredit https://pinellas-egis.maps.arcgis.com/home/item.html?id=3d123378bdea4e5699082e7267026330