20250103 10361400 1.0 FALSE Census_ACS_2022_5yr_MC_BlockGroups 002 1162676.245202 1343961.955793 461693.600815 614380.899442 1 Projected GCS_North_American_1983_HARN Linear Unit: Foot_US (0.304801) <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.2.0'><WKT>PROJCS[&quot;NAD_1983_HARN_StatePlane_Maryland_FIPS_1900_Feet&quot;,GEOGCS[&quot;GCS_North_American_1983_HARN&quot;,DATUM[&quot;D_North_American_1983_HARN&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Lambert_Conformal_Conic&quot;],PARAMETER[&quot;False_Easting&quot;,1312333.333333333],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-77.0],PARAMETER[&quot;Standard_Parallel_1&quot;,38.3],PARAMETER[&quot;Standard_Parallel_2&quot;,39.45],PARAMETER[&quot;Latitude_Of_Origin&quot;,37.66666666666666],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;EPSG&quot;,2893]]</WKT><XOrigin>-120561100</XOrigin><YOrigin>-95444400</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2893</WKID><LatestWKID>2893</LatestWKID></ProjectedCoordinateSystem> NAD_1983_HARN_StatePlane_Maryland_FIPS_1900_Feet 20240412 12391800 20240412 15042000 500000 50000 ItemDescription dataset 20240412 File Geodatabase Feature Class Montgomery County Census Block Group Boundaries 2022 joined with the City's Core ACS 2018-2022 5yr Extract Maryland census block group boundaries from Census 2022 TIGER files, joined with selected fields and summarized fields from the City's core 2018-2022 5-year American Community Survey (ACS) extract. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The 2022 Census TIGER boundary files for Maryland census block groups are imported into a file geodatabase, projected to Maryland State Plane HARN (NAD 83/91) US survey feet, and then joined to the City's standard 2018-2022 American Community Survey (ACS) 5-year core extract. The joined version is then exported to a separate feature class, retaining both the TIGER fields and the ACS fields.</SPAN></P><P><SPAN>For census block groups that are wholly or partially within the City of Gaithersburg, additional fields are provided that tabulate the proportion of households, population, and dwelling units within each block groups that are attributable to areas within the City limits. These fields are based on the 2020 Decennial Census PL 94-171 Redistricting Summary File (for both total block group and City-only numbers), the City's January and July 2020 Dwelling Units and Population Reports (for City-only numbers), and the City's January and July 2020 households_population_jobs feature classes and SDAT information for areas beyond those FCs but within the Census block group (for total dwelling units based on parcels). An additional "override housing units" field is also provided, which gives the best "true" estimate of the proportion of census block groups housing units that are within the City, by (1) using the City's July 2020 households_population_jobs feature class (parcel-based) and SDAT-based parcel information for all areas of the census block group; (2) calculating 1.0 for all block groups that are entirely within the City, regardless of Decennial Census information; and (3) using 0.0 for all block groups that contain no dwelling units within the City, regardless of Decennial Census information.</SPAN></P><P><SPAN>For additional information about the source TIGER files from the Census, please consult this web link: https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html</SPAN></P><P><SPAN>For additional information about the ACS extract, including a brief description of each included field, please consult the metadata for the Extract table and the source Excel table. </SPAN></P><P><SPAN>Additional information about the ACS program can be found at: https://www.census.gov/programs-surveys/acs/ </SPAN></P><P><SPAN>Additional information about definitions used by the Census in the ACS can be found at: https://www2.census.gov/programs-surveys/acs/tech_docs/subject_definitions/2022_ACSSubjectDefinitions.pdf?#</SPAN></P></DIV></DIV></DIV> U.S. Census Bureau, City of Gaithersburg. Census American Community Survey ACS demographic population Gaithersburg Maryland Montgomery County block group <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>None</SPAN></P></DIV></DIV></DIV> Esri ArcGIS 13.2.2.49743 1 -77.529225 -76.888152 39.353623 38.933220 664 EPSG 6.3(9.0.0) Census_ACS_2022_5yr_MC_BlockGroups Feature Class 664 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. GEOID GEOID String 12 0 0 NAMELSAD NAMELSAD String 13 0 0 ALAND ALAND Double 8 0 0 AWATER AWATER Double 8 0 0 INTPTLAT INTPTLAT String 11 0 0 INTPTLON INTPTLON String 12 0 0 East_West_I270 East_West_I270 String 10 0 0 BlockGroup_2020_in_Gaithersburg BlockGroup_2020_in_Gaithersburg String 2 0 0 GburgBGpart_Census_2020_HHs_Share GburgBGpart_Census_2020_HHs_Share Double 8 0 0 GburgBGpart_Census_2020_Pop_Share GburgBGpart_Census_2020_Pop_Share Double 8 0 0 GburgBGpart_Census_2020_DUs_Share GburgBGpart_Census_2020_DUs_Share Double 8 0 0 Census_2020_BlockGp_Households Census_2020_BlockGp_Households Double 8 0 0 Census_2020_Gburg_BGpart_HHs Census_2020_Gburg_BGpart_HHs Double 8 0 0 Census_2020_BlockGp_Population Census_2020_BlockGp_Population Double 8 0 0 Census_2020_Gburg_BGpart_Pop Census_2020_Gburg_BGpart_Pop Double 8 0 0 Census_2020_BlockGp_Dwellings Census_2020_BlockGp_Dwellings Double 8 0 0 Census_2020_Gburg_BGpart_DUs Census_2020_Gburg_BGpart_DUs Double 8 0 0 Gburg_Report_Jan_2020_DUs_Share Gburg_Report_Jan_2020_DUs_Share Double 8 0 0 Gburg_Report_Jan_2020_Dwellings Gburg_Report_Jan_2020_Dwellings Double 8 0 0 Gburg_Report_July_2020_DUs_Share Gburg_Report_July_2020_DUs_Share Double 8 0 0 Gburg_Report_July_2020_Dwellings Gburg_Report_July_2020_Dwellings Double 8 0 0 Override_2020_Gburg_Dwellings_Share Override_2020_Gburg_Dwellings_Share Double 8 0 0 Parcels_July_2020_Dwellings Parcels_July_2020_Dwellings Double 8 0 0 GEO_id_full GEO_id_full String 8000 0 0 GEO_id_number GEO_id_number Double 8 0 0 Geo_id_text Geo_id_text String 8000 0 0 GEO_display_label GEO_display_label String 8000 0 0 B01001_Population B01001_Population Integer 4 0 0 B01001_Age_17_Under B01001_Age_17_Under Integer 4 0 0 B01001_Age_18_Over B01001_Age_18_Over Integer 4 0 0 B01001_Age_18_to_34 B01001_Age_18_to_34 Integer 4 0 0 B01001_Age_35_to_54 B01001_Age_35_to_54 Integer 4 0 0 B01001_Age_55_Over B01001_Age_55_Over Integer 4 0 0 B01001_Age_62_Over B01001_Age_62_Over Integer 4 0 0 B01001_Age_65_Over B01001_Age_65_Over Integer 4 0 0 B01001_Age_80_Over B01001_Age_80_Over Integer 4 0 0 B01001_Male B01001_Male Integer 4 0 0 B01001_Male_5_Under B01001_Male_5_Under Integer 4 0 0 B01001_Male_5_to_9 B01001_Male_5_to_9 Integer 4 0 0 B01001_Male_10_to_14 B01001_Male_10_to_14 Integer 4 0 0 B01001_Male_15_to_17 B01001_Male_15_to_17 Integer 4 0 0 B01001_Male_18_to_19 B01001_Male_18_to_19 Integer 4 0 0 B01001_Male_20 B01001_Male_20 Integer 4 0 0 B01001_Male_21 B01001_Male_21 Integer 4 0 0 B01001_Male_22_to_24 B01001_Male_22_to_24 Integer 4 0 0 B01001_Male_25_to_29 B01001_Male_25_to_29 Integer 4 0 0 B01001_Male_30_to_34 B01001_Male_30_to_34 Integer 4 0 0 B01001_Male_35_to_39 B01001_Male_35_to_39 Integer 4 0 0 B01001_Male_40_to_44 B01001_Male_40_to_44 Integer 4 0 0 B01001_Male_45_to_49 B01001_Male_45_to_49 Integer 4 0 0 B01001_Male_50_to_54 B01001_Male_50_to_54 Integer 4 0 0 B01001_Male_55_to_59 B01001_Male_55_to_59 Integer 4 0 0 B01001_Male_60_to_61 B01001_Male_60_to_61 Integer 4 0 0 B01001_Male_62_to_64 B01001_Male_62_to_64 Integer 4 0 0 B01001_Male_65_to_66 B01001_Male_65_to_66 Integer 4 0 0 B01001_Male_67_to_69 B01001_Male_67_to_69 Integer 4 0 0 B01001_Male_70_to_74 B01001_Male_70_to_74 Integer 4 0 0 B01001_Male_75_to_79 B01001_Male_75_to_79 Integer 4 0 0 B01001_Male_80_to_84 B01001_Male_80_to_84 Integer 4 0 0 B01001_Male_85_Over B01001_Male_85_Over Integer 4 0 0 B01001_Male_17_Under B01001_Male_17_Under Integer 4 0 0 B01001_Male_18_Over B01001_Male_18_Over Integer 4 0 0 B01001_Male_18_to_34 B01001_Male_18_to_34 Integer 4 0 0 B01001_Male_55_Over B01001_Male_55_Over Integer 4 0 0 B01001_Male_62_Over B01001_Male_62_Over Integer 4 0 0 B01001_Male_65_Over B01001_Male_65_Over Integer 4 0 0 B01001_Female B01001_Female Integer 4 0 0 B01001_Female_5_Under B01001_Female_5_Under Integer 4 0 0 B01001_Female_5_to_9 B01001_Female_5_to_9 Integer 4 0 0 B01001_Female_10_to_14 B01001_Female_10_to_14 Integer 4 0 0 B01001_Female_15_to_17 B01001_Female_15_to_17 Integer 4 0 0 B01001_Female_18_to_19 B01001_Female_18_to_19 Integer 4 0 0 B01001_Female_20 B01001_Female_20 Integer 4 0 0 B01001_Female_21 B01001_Female_21 Integer 4 0 0 B01001_Female_22_to_24 B01001_Female_22_to_24 Integer 4 0 0 B01001_Female_25_to_29 B01001_Female_25_to_29 Integer 4 0 0 B01001_Female_30_to_34 B01001_Female_30_to_34 Integer 4 0 0 B01001_Female_35_to_39 B01001_Female_35_to_39 Integer 4 0 0 B01001_Female_40_to_44 B01001_Female_40_to_44 Integer 4 0 0 B01001_Female_45_to_49 B01001_Female_45_to_49 Integer 4 0 0 B01001_Female_50_to_54 B01001_Female_50_to_54 Integer 4 0 0 B01001_Female_55_to_59 B01001_Female_55_to_59 Integer 4 0 0 B01001_Female_60_to_61 B01001_Female_60_to_61 Integer 4 0 0 B01001_Female_62_to_64 B01001_Female_62_to_64 Integer 4 0 0 B01001_Female_65_to_66 B01001_Female_65_to_66 Integer 4 0 0 B01001_Female_67_to_69 B01001_Female_67_to_69 Integer 4 0 0 B01001_Female_70_to_74 B01001_Female_70_to_74 Integer 4 0 0 B01001_Female_75_to_79 B01001_Female_75_to_79 Integer 4 0 0 B01001_Female_80_to_84 B01001_Female_80_to_84 Integer 4 0 0 B01001_Female_85_Over B01001_Female_85_Over Integer 4 0 0 B01001_Female_17_Under B01001_Female_17_Under Integer 4 0 0 B01001_Female_18_Over B01001_Female_18_Over Integer 4 0 0 B01001_Female_18_to_34 B01001_Female_18_to_34 Integer 4 0 0 B01001_Female_55_Over B01001_Female_55_Over Integer 4 0 0 B01001_Female_62_Over B01001_Female_62_Over Integer 4 0 0 B01001_Female_65_Over B01001_Female_65_Over Integer 4 0 0 B02001_White B02001_White Integer 4 0 0 B02001_Black B02001_Black Integer 4 0 0 B02001_AIAN B02001_AIAN Integer 4 0 0 B02001_Asian B02001_Asian Integer 4 0 0 B02001_NHPI B02001_NHPI Integer 4 0 0 B02001_Other_Race B02001_Other_Race Integer 4 0 0 B02001_Multi_Race B02001_Multi_Race Integer 4 0 0 B02001_Majority_Race B02001_Majority_Race String 8000 0 0 B02001_Predominant_Race B02001_Predominant_Race String 8000 0 0 B03002_White_NH B03002_White_NH Integer 4 0 0 B03002_Black_NH B03002_Black_NH Integer 4 0 0 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