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Service Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>All data contained in this data set was downloaded from HUD in January of 2025. Please see the HUD site here: </SPAN><A href="https://hud.maps.arcgis.com/home/item.html?id=279eca0222754f8a954bbf8cf995a1a3" target="_blank" STYLE="text-decoration:underline;"><SPAN>https://hud.maps.arcgis.com/home/item.html?id=279eca0222754f8a954bbf8cf995a1a3#overview</SPAN></A></P><P><SPAN>These HUD-provided data are the Low Moderate Income Summary Data (2016-2020 ACS) geographically joined to the 2020 National Geodatabase from the U.S. Census Bureau. For more details on the use of these data, please refer to CPD Notice 24-04.</SPAN></P><P><SPAN>These data provide estimated counts of persons based on their family income as either:</SPAN></P><UL><LI><P><SPAN STYLE="font-weight:bold;">Low:</SPAN><SPAN> at or below 50% of the area median income AMI, </SPAN></P></LI><LI><P><SPAN STYLE="font-weight:bold;">LowMod:</SPAN><SPAN> at or below 80% of AMI, and </SPAN></P></LI><LI><P><SPAN STYLE="font-weight:bold;">LMMI:</SPAN><SPAN> at or below 120% of AMI (just for the NSP program)</SPAN></P></LI></UL><P><SPAN STYLE="font-weight:bold;">Calculating LMI % </SPAN><SPAN>= (LOWMOD Data Field (# LMI Persons) Geography A + LOWMOD Data Field (# LMI Persons) Geography B + LOWMOD Data Field (# LMI Persons) Geography C…) ÷ (LOWMODUNIV Data Field (LMI Universe) Geography A + LOWMODUNIV Data Field (LMI Universe) Geography B + LOWMODUNIV (LMI Universe) Geography C…)</SPAN></P><P><SPAN>*If exporting the csv file to Excel, the overall LMI percentage function would be =sum(lowmod)/sum(lowmoduniv)</SPAN></P><P><SPAN STYLE="font-weight:bold;">Margin of Error</SPAN></P><P><SPAN>The MOE does NOT provide an expanded range for compliance. For example, a service area of 50 percent LMI with a 2 percent MOE would still be just 50 percent LMI for compliance purposes. However, the 2 percent MOE would inform the grantee about the accuracy of the ACS data before undergoing the effort and cost of conducting a local income survey. See CPD Notice 24-04 for more details on using the margin of error.</SPAN></P></DIV></DIV></DIV>
Map Name: CDBG Map
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Description: All data contained in this data set was downloaded from HUD in January of 2025. Please see the HUD site here: https://hud.maps.arcgis.com/home/item.html?id=279eca0222754f8a954bbf8cf995a1a3#overviewThese HUD-provided data are the Low Moderate Income Summary Data (2016-2020 ACS) geographically joined to the 2020 National Geodatabase from the U.S. Census Bureau. For more details on the use of these data, please refer to CPD Notice 24-04.These data provide estimated counts of persons based on their family income as either:Low: at or below 50% of the area median income AMI, LowMod: at or below 80% of AMI, and LMMI: at or below 120% of AMI (just for the NSP program)Calculating LMI % = (LOWMOD Data Field (# LMI Persons) Geography A + LOWMOD Data Field (# LMI Persons) Geography B + LOWMOD Data Field (# LMI Persons) Geography C…) ÷ (LOWMODUNIV Data Field (LMI Universe) Geography A + LOWMODUNIV Data Field (LMI Universe) Geography B + LOWMODUNIV (LMI Universe) Geography C…)*If exporting the csv file to Excel, the overall LMI percentage function would be =sum(lowmod)/sum(lowmoduniv)Margin of ErrorThe MOE does NOT provide an expanded range for compliance. For example, a service area of 50 percent LMI with a 2 percent MOE would still be just 50 percent LMI for compliance purposes. However, the 2 percent MOE would inform the grantee about the accuracy of the ACS data before undergoing the effort and cost of conducting a local income survey. See CPD Notice 24-04 for more details on using the margin of error.
Service Item Id: dcaee8027419416682df1a6205752512
Copyright Text: ACS, HUD
Spatial Reference:
102646
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Spatial Reference: 102646
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LatestVCSWkid(0)
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Spatial Reference: 102646
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Units: esriFeet
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
Document Info:
Title: CDBG Map
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Keywords: Buena Park,GIS,census,federal,2020,block,block group,CDBG,community,development,grant,LMISD,income,ACS
AntialiasingMode: None
TextAntialiasingMode: Force
Supports Dynamic Layers: true
MaxRecordCount: 2000
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Supported Query Formats: JSON, geoJSON, PBF
Supports Query Data Elements: true
Min Scale: 0
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Supports Datum Transformation: true
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