20250102 13573500 1.0 FALSE Census_ACS_2022_5yr_MD_Tracts 002 607710.299690 1888979.168578 81022.217802 757681.896304 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 13560200 20240412 15044100 625000 500000 ItemDescription dataset 20240412 File Geodatabase Feature Class MD Census Tract Boundaries 2022 joined with the City's Core ACS 2018-2022 5yr Extract Maryland census tract 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 tracts 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 tracts 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 tract 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 tract 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 tract (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 tract 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 tract; (2) calculating 1.0 for all tracts that are entirely within the City, regardless of Decennial Census information; and (3) using 0.0 for all tracts 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 tract <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>None.</SPAN></P></DIV></DIV></DIV> Esri ArcGIS 13.2.2.49743 1 -79.505031 -74.949776 39.747020 37.863270 1475 EPSG 6.3(9.0.0) Census_ACS_2022_5yr_MD_Tracts Feature Class 1475 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 11 0 0 NAMELSAD NAMELSAD String 20 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 Acres Acres Double 8 0 0 East_West_I270 East_West_I270 String 10 0 0 Tract_2020_in_Gaithersburg Tract_2020_in_Gaithersburg String 2 0 0 GburgTpart_Census_2020_HHs_Share GburgTpart_Census_2020_HHs_Share Double 8 0 0 GburgTpart_Census_2020_Pop_Share GburgTpart_Census_2020_Pop_Share Double 8 0 0 GburgTpart_Census_2020_DUs_Share GburgTpart_Census_2020_DUs_Share Double 8 0 0 Census_2020_Tract_Households Census_2020_Tract_Households Double 8 0 0 Census_2020_Gburg_TractPart_HHs Census_2020_Gburg_TractPart_HHs Double 8 0 0 Census_2020_Tract_Population Census_2020_Tract_Population Double 8 0 0 Census_2020_Gburg_TractPart_Pop Census_2020_Gburg_TractPart_Pop Double 8 0 0 Census_2020_Tract_DwellingUnits Census_2020_Tract_DwellingUnits Double 8 0 0 Census_2020_Gburg_TractPart_DUs Census_2020_Gburg_TractPart_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 B03002_AIAN_NH B03002_AIAN_NH Integer 4 0 0 B03002_Asian_NH B03002_Asian_NH Integer 4 0 0 B03002_NHPI_NH B03002_NHPI_NH Integer 4 0 0 B03002_Other_Race_NH B03002_Other_Race_NH Integer 4 0 0 B03002_Multi_Race_NH B03002_Multi_Race_NH Integer 4 0 0 B03002_Hispanic B03002_Hispanic Integer 4 0 0 B03002_Diversity_Index B03002_Diversity_Index Double 8 0 0 B03002_Majority_Group B03002_Majority_Group String 8000 0 0 B03002_Predominant_Group B03002_Predominant_Group String 8000 0 0 B05002_Native_Born B05002_Native_Born Integer 4 0 0 B05002_Native_Born_in_State B05002_Native_Born_in_State Integer 4 0 0 B05002_Native_Born_Other_State B05002_Native_Born_Other_State Integer 4 0 0 B05002_Native_Born_Outside_US B05002_Native_Born_Outside_US Integer 4 0 0 B05002_Foreign_Born B05002_Foreign_Born Integer 4 0 0 B05002_Foreign_Born_Naturalized B05002_Foreign_Born_Naturalized Integer 4 0 0 B05002_Foreign_Born_Not_Citizen B05002_Foreign_Born_Not_Citizen Integer 4 0 0 B08007_Workers_16_Over B08007_Workers_16_Over Integer 4 0 0 B08007_Worked_in_State_Living B08007_Worked_in_State_Living Integer 4 0 0 B08007_Worked_in_County_Living B08007_Worked_in_County_Living Integer 4 0 0 B08008_Living_in_A_Place B08008_Living_in_A_Place Integer 4 0 0 B08008_Worked_in_Place_Living B08008_Worked_in_Place_Living Integer 4 0 0 B08301_Drove_Total B08301_Drove_Total Integer 4 0 0 B08301_Drove_Alone B08301_Drove_Alone Integer 4 0 0 B08301_Drove_Carpooled B08301_Drove_Carpooled Integer 4 0 0 B08301_Public_Transp_Total B08301_Public_Transp_Total Integer 4 0 0 B08301_Bus B08301_Bus Integer 4 0 0 B08301_Subway_ElevatedRail B08301_Subway_ElevatedRail Integer 4 0 0 B08301_Railroad B08301_Railroad Integer 4 0 0 B08301_LightRail_Trolley B08301_LightRail_Trolley Integer 4 0 0 B08301_Motorcycle B08301_Motorcycle Integer 4 0 0 B08301_Bicycle B08301_Bicycle Integer 4 0 0 B08301_Walked B08301_Walked Integer 4 0 0 B08301_OtherMeans B08301_OtherMeans Integer 4 0 0 B08301_Worked_at_Home B08301_Worked_at_Home Integer 4 0 0 B11001_Households B11001_Households Integer 4 0 0 B11001_Families B11001_Families Integer 4 0 0 B11001_Married_Families B11001_Married_Families Integer 4 0 0 B11001_Other_Family B11001_Other_Family Integer 4 0 0 B11001_OthFam_MaleHH_NoSpouse B11001_OthFam_MaleHH_NoSpouse Integer 4 0 0 B11001_OthFam_FemaleHH_NoSpouse B11001_OthFam_FemaleHH_NoSpouse Integer 4 0 0 B11001_Nonfamily_HHs B11001_Nonfamily_HHs Integer 4 0 0 B11001_Single_HHr_Living_Alone B11001_Single_HHr_Living_Alone Integer 4 0 0 B11001_Single_HHr_Not_Alone B11001_Single_HHr_Not_Alone Integer 4 0 0 B16004_Age_5_over B16004_Age_5_over Integer 4 0 0 B16004_EnglishOnly_Age_5_over B16004_EnglishOnly_Age_5_over Integer 4 0 0 B16004_LessVeryWell_Age_5_over B16004_LessVeryWell_Age_5_over Integer 4 0 0 B16004_LessWell_Age_5_over B16004_LessWell_Age_5_over Integer 4 0 0 B16004_Spanish_Age_5_over B16004_Spanish_Age_5_over Integer 4 0 0 B16004_Spanish_LessVW_5_over B16004_Spanish_LessVW_5_over Integer 4 0 0 B16004_Spanish_LessWell_5_over B16004_Spanish_LessWell_5_over Integer 4 0 0 B16004_IndoEuro_Age_5_over B16004_IndoEuro_Age_5_over Integer 4 0 0 B16004_IndoEuro_LessVW_5_over B16004_IndoEuro_LessVW_5_over Integer 4 0 0 B16004_IndoEuro_LessWell_5_over B16004_IndoEuro_LessWell_5_over Integer 4 0 0 B16004_AsianPI_Age_5_over B16004_AsianPI_Age_5_over Integer 4 0 0 B16004_AsianPI_LessVW_5_over B16004_AsianPI_LessVW_5_over Integer 4 0 0 B16004_AsianPI_LessWell_5_over B16004_AsianPI_LessWell_5_over Integer 4 0 0 B16004_OthLang_Age_5_over B16004_OthLang_Age_5_over Integer 4 0 0 B16004_OthLang_LessVW_5_over B16004_OthLang_LessVW_5_over Integer 4 0 0 B16004_OthLang_LessWell_5_over B16004_OthLang_LessWell_5_over Integer 4 0 0 B16004_Age_5_to_17 B16004_Age_5_to_17 Integer 4 0 0 B16004_EnglishOnly_Age_5_to_17 B16004_EnglishOnly_Age_5_to_17 Integer 4 0 0 B16004_Spanish_Age_5_to_17 B16004_Spanish_Age_5_to_17 Integer 4 0 0 B16004_Spanish_VeryWell_5_to_17 B16004_Spanish_VeryWell_5_to_17 Integer 4 0 0 B16004_Spanish_Well_Age_5_to_17 B16004_Spanish_Well_Age_5_to_17 Integer 4 0 0 B16004_Spanish_NotWell_5_to_17 B16004_Spanish_NotWell_5_to_17 Integer 4 0 0 B16004_Span_NoEnglish_5_to_17 B16004_Span_NoEnglish_5_to_17 Integer 4 0 0 B16004_IndoEuro_Age_5_to_17 B16004_IndoEuro_Age_5_to_17 Integer 4 0 0 B16004_IndEur_VeryWell_5_to_17 B16004_IndEur_VeryWell_5_to_17 Integer 4 0 0 B16004_IndoEuro_Well_5_to_17 B16004_IndoEuro_Well_5_to_17 Integer 4 0 0 B16004_IndoEuro_NotWell_5_to_17 B16004_IndoEuro_NotWell_5_to_17 Integer 4 0 0 B16004_IndEur_NoEnglish_5_to_17 B16004_IndEur_NoEnglish_5_to_17 Integer 4 0 0 B16004_AsianPI_Age_5_to_17 B16004_AsianPI_Age_5_to_17 Integer 4 0 0 B16004_AsianPI_VeryWell_5_to_17 B16004_AsianPI_VeryWell_5_to_17 Integer 4 0 0 B16004_AsianPI_Well_Age_5_to_17 B16004_AsianPI_Well_Age_5_to_17 Integer 4 0 0 B16004_AsianPI_NotWell_5_to_17 B16004_AsianPI_NotWell_5_to_17 Integer 4 0 0 B16004_AsnPI_NoEnglish_5_to_17 B16004_AsnPI_NoEnglish_5_to_17 Integer 4 0 0 B16004_OthLang_Age_5_to_17 B16004_OthLang_Age_5_to_17 Integer 4 0 0 B16004_OthLang_VeryWell_5_to_17 B16004_OthLang_VeryWell_5_to_17 Integer 4 0 0 B16004_OthLang_Well_Age_5_to_17 B16004_OthLang_Well_Age_5_to_17 Integer 4 0 0 B16004_OthLang_NotWell_5_to_17 B16004_OthLang_NotWell_5_to_17 Integer 4 0 0 B16004_OthLan_NoEnglish_5_to_17 B16004_OthLan_NoEnglish_5_to_17 Integer 4 0 0 B16004_Age_18_to_64 B16004_Age_18_to_64 Integer 4 0 0 B16004_EnglishOnly_Age_18_to_64 B16004_EnglishOnly_Age_18_to_64 Integer 4 0 0 B16004_Spanish_Age_18_to_64 B16004_Spanish_Age_18_to_64 Integer 4 0 0 B16004_Span_VeryWell_18_to_64 B16004_Span_VeryWell_18_to_64 Integer 4 0 0 B16004_Spanish_Well_18_to_64 B16004_Spanish_Well_18_to_64 Integer 4 0 0 B16004_Spanish_NotWell_18_to_64 B16004_Spanish_NotWell_18_to_64 Integer 4 0 0 B16004_Span_NoEnglish_18_to_64 B16004_Span_NoEnglish_18_to_64 Integer 4 0 0 B16004_IndoEuro_Age_18_to_64 B16004_IndoEuro_Age_18_to_64 Integer 4 0 0 B16004_IndEur_VeryWell_18_to_64 B16004_IndEur_VeryWell_18_to_64 Integer 4 0 0 B16004_IndoEuro_Well_18_to_64 B16004_IndoEuro_Well_18_to_64 Integer 4 0 0 B16004_IndEur_NotWell_18_to_64 B16004_IndEur_NotWell_18_to_64 Integer 4 0 0 B16004_InEur_NoEnglish_18_to_64 B16004_InEur_NoEnglish_18_to_64 Integer 4 0 0 B16004_AsianPI_Age_18_to_64 B16004_AsianPI_Age_18_to_64 Integer 4 0 0 B16004_AsnPI_VeryWell_18_to_64 B16004_AsnPI_VeryWell_18_to_64 Integer 4 0 0 B16004_AsianPI_Well_18_to_64 B16004_AsianPI_Well_18_to_64 Integer 4 0 0 B16004_AsianPI_NotWell_18_to_64 B16004_AsianPI_NotWell_18_to_64 Integer 4 0 0 B16004_AsnPI_NoEnglish_18_to_64 B16004_AsnPI_NoEnglish_18_to_64 Integer 4 0 0 B16004_OthLang_Age_18_to_64 B16004_OthLang_Age_18_to_64 Integer 4 0 0 B16004_OthLan_VeryWell_18_to_64 B16004_OthLan_VeryWell_18_to_64 Integer 4 0 0 B16004_OthLang_Well_18_to_64 B16004_OthLang_Well_18_to_64 Integer 4 0 0 B16004_OthLang_NotWell_18_to_64 B16004_OthLang_NotWell_18_to_64 Integer 4 0 0 B16004_OthLn_NoEnglish_18_to_64 B16004_OthLn_NoEnglish_18_to_64 Integer 4 0 0 B16004_Age_65_over B16004_Age_65_over Integer 4 0 0 B16004_EnglishOnly_Age_65_over B16004_EnglishOnly_Age_65_over Integer 4 0 0 B16004_Spanish_Age_65_over B16004_Spanish_Age_65_over Integer 4 0 0 B16004_Spanish_VeryWell_65_over B16004_Spanish_VeryWell_65_over Integer 4 0 0 B16004_Spanish_Well_Age_65_over B16004_Spanish_Well_Age_65_over Integer 4 0 0 B16004_Spanish_NotWell_65_over B16004_Spanish_NotWell_65_over Integer 4 0 0 B16004_Span_NoEnglish_65_over B16004_Span_NoEnglish_65_over Integer 4 0 0 B16004_IndoEuro_Age_65_over B16004_IndoEuro_Age_65_over Integer 4 0 0 B16004_IndEur_VeryWell_65_over B16004_IndEur_VeryWell_65_over Integer 4 0 0 B16004_IndoEuro_Well_65_over B16004_IndoEuro_Well_65_over Integer 4 0 0 B16004_IndoEuro_NotWell_65_over B16004_IndoEuro_NotWell_65_over Integer 4 0 0 B16004_IndEur_NoEnglish_65_over B16004_IndEur_NoEnglish_65_over Integer 4 0 0 B16004_AsianPI_Age_65_over B16004_AsianPI_Age_65_over Integer 4 0 0 B16004_AsianPI_VeryWell_65_over B16004_AsianPI_VeryWell_65_over Integer 4 0 0 B16004_AsianPI_Well_Age_65_over B16004_AsianPI_Well_Age_65_over Integer 4 0 0 B16004_AsianPI_NotWell_65_over B16004_AsianPI_NotWell_65_over Integer 4 0 0 B16004_AsnPI_NoEnglish_65_over B16004_AsnPI_NoEnglish_65_over Integer 4 0 0 B16004_OthLang_Age_65_over B16004_OthLang_Age_65_over Integer 4 0 0 B16004_OthLang_VeryWell_65_over B16004_OthLang_VeryWell_65_over Integer 4 0 0 B16004_OthLang_Well_Age_65_over B16004_OthLang_Well_Age_65_over Integer 4 0 0 B16004_OthLang_NotWell_65_over B16004_OthLang_NotWell_65_over Integer 4 0 0 B16004_OthLan_NoEnglish_65_over B16004_OthLan_NoEnglish_65_over Integer 4 0 0 B17010_Families B17010_Families Integer 4 0 0 B17010_Families_Below_Poverty B17010_Families_Below_Poverty Integer 4 0 0 B17021_Poverty_Rate_Persons B17021_Poverty_Rate_Persons Double 8 0 0 B17021_Persons B17021_Persons Integer 4 0 0 B17021_Persons_Below_Poverty B17021_Persons_Below_Poverty Integer 4 0 0 B19001_4pHHs_WP_150pctPoverty B19001_4pHHs_WP_150pctPoverty Double 8 0 0 B19001_HHs_VLI_30pct_DCmetroAMI B19001_HHs_VLI_30pct_DCmetroAMI Double 8 0 0 B19001_HHs_LI_50pct_DCmetroAMI B19001_HHs_LI_50pct_DCmetroAMI Double 8 0 0 B19001_HHs_LI_60pct_DCmetroAMI B19001_HHs_LI_60pct_DCmetroAMI Double 8 0 0 B19001_HHs_MI_80pct_DCmetroAMI B19001_HHs_MI_80pct_DCmetroAMI Double 8 0 0 B19001_HHs_WF_120pct_DCmetroAMI B19001_HHs_WF_120pct_DCmetroAMI Double 8 0 0 B19001_HHs_LI_30to50pct_AMI B19001_HHs_LI_30to50pct_AMI Double 8 0 0 B19001_HHs_MI_50to80pct_AMI B19001_HHs_MI_50to80pct_AMI Double 8 0 0 B19001_HHs_WF_80to120pct_AMI B19001_HHs_WF_80to120pct_AMI Double 8 0 0 B19001_HHs_UI_Above120pct_AMI B19001_HHs_UI_Above120pct_AMI Double 8 0 0 B19001_Total_HHs B19001_Total_HHs Integer 4 0 0 B19001_HHinc_Under_10k B19001_HHinc_Under_10k Integer 4 0 0 B19001_HHinc_10k_15k B19001_HHinc_10k_15k Integer 4 0 0 B19001_HHinc_15k_20k B19001_HHinc_15k_20k Integer 4 0 0 B19001_HHinc_20k_25k B19001_HHinc_20k_25k Integer 4 0 0 B19001_HHinc_25k_30k B19001_HHinc_25k_30k Integer 4 0 0 B19001_HHinc_30k_35k B19001_HHinc_30k_35k Integer 4 0 0 B19001_HHinc_35k_40k B19001_HHinc_35k_40k Integer 4 0 0 B19001_HHinc_40k_45k B19001_HHinc_40k_45k Integer 4 0 0 B19001_HHinc_45k_50k B19001_HHinc_45k_50k Integer 4 0 0 B19001_HHinc_50k_60k B19001_HHinc_50k_60k Integer 4 0 0 B19001_HHinc_60k_75k B19001_HHinc_60k_75k Integer 4 0 0 B19001_HHinc_75k_100k B19001_HHinc_75k_100k Integer 4 0 0 B19001_HHinc_100k_125k B19001_HHinc_100k_125k Integer 4 0 0 B19001_HHinc_125k_150k B19001_HHinc_125k_150k Integer 4 0 0 B19001_HHinc_150k_200k B19001_HHinc_150k_200k Integer 4 0 0 B19001_HHinc_200k_Above B19001_HHinc_200k_Above Integer 4 0 0 B19001_HHinc_Under_50k B19001_HHinc_Under_50k Integer 4 0 0 B19013_txt_Median_HH_Income B19013_txt_Median_HH_Income String 8000 0 0 B19013_Median_HH_Income B19013_Median_HH_Income Integer 4 0 0 B19113_txt_Median_Family_Income B19113_txt_Median_Family_Income String 8000 0 0 B19113_Median_Family_Income B19113_Median_Family_Income Integer 4 0 0 B19202_txt_Median_NonFam_Income B19202_txt_Median_NonFam_Income String 8000 0 0 B19202_Median_NonFam_Income B19202_Median_NonFam_Income Integer 4 0 0 B19301_txt_Per_Capita_Income B19301_txt_Per_Capita_Income String 8000 0 0 B19301_Per_Capita_Income B19301_Per_Capita_Income Integer 4 0 0 B23025_Unemployment_Rate B23025_Unemployment_Rate Double 8 0 0 B23025_Age_16_Over B23025_Age_16_Over Integer 4 0 0 B23025_In_Labor_Force B23025_In_Labor_Force Integer 4 0 0 B23025_Civilian_Labor_Force B23025_Civilian_Labor_Force Integer 4 0 0 B23025_Civ_Labor_Force_Employed B23025_Civ_Labor_Force_Employed Integer 4 0 0 B23025_Civ_Lab_Force_Unemployed B23025_Civ_Lab_Force_Unemployed Integer 4 0 0 B23025_Employed_Armed_Forces B23025_Employed_Armed Forces Integer 4 0 0 B23025_Not_In_Labor_Force B23025_Not_In_Labor_Force Integer 4 0 0 B25002_Total_Units B25002_Total_Units Integer 4 0 0 B25002_Occupied_Units B25002_Occupied_Units Integer 4 0 0 B25002_Vacant_Units B25002_Vacant_Units Integer 4 0 0 B25003_Occupied_HUs B25003_Occupied_HUs Integer 4 0 0 B25003_Owner_Occupied B25003_Owner_Occupied Integer 4 0 0 B25003_Renter_Occupied B25003_Renter_Occupied Integer 4 0 0 B25010_txt_Avg_HH_Size B25010_txt_Avg_HH_Size String 8000 0 0 B25010_txt_Avg_Owner_HH_Size B25010_txt_Avg_Owner_HH_Size String 8000 0 0 B25010_txt_Avg_Renter_HH_Size B25010_txt_Avg_Renter_HH_Size String 8000 0 0 B25010_Avg_HH_Size B25010_Avg_HH_Size Double 8 0 0 B25010_Avg_Owner_HH_Size B25010_Avg_Owner_HH_Size Double 8 0 0 B25010_Avg_Renter_HH_Size B25010_Avg_Renter_HH_Size Double 8 0 0 B25024_Detached_Units B25024_Detached_Units Integer 4 0 0 B25024_Attached_Units B25024_Attached_Units Integer 4 0 0 B25024_Two_Units B25024_Two_Units Integer 4 0 0 B25024_Multifamily_3or4_Units B25024_Multifamily_3or4_Units Integer 4 0 0 B25024_Multifamily_5to9_Units B25024_Multifamily_5to9_Units Integer 4 0 0 B25024_Multifamily_10to19_Units B25024_Multifamily_10to19_Units Integer 4 0 0 B25024_Multifamily_20to49_Units B25024_Multifamily_20to49_Units Integer 4 0 0 B25024_Multifamily_50plus_Units B25024_Multifamily_50plus_Units Integer 4 0 0 B25024_Multifamily_3_More_Units B25024_Multifamily_3_More_Units Integer 4 0 0 B25024_Mobile_Home B25024_Mobile_Home Integer 4 0 0 B25024_Boat_RV B25024_Boat_RV Integer 4 0 0 B25024_Detail_Predom_Unit_Type B25024_Detail_Predom_Unit_Type String 8000 0 0 B25024_Predominant_Unit_Type B25024_Predominant_Unit_Type String 8000 0 0 B25033_01001_Grp_Qtrs_Pop_Calc B25033_01001_Grp_Qtrs_Pop_Calc Integer 4 0 0 B25046_txt_Aggregate_Vehicles B25046_txt_Aggregate_Vehicles String 8000 0 0 B25046_txt_Owner_Agg_Vehicles B25046_txt_Owner_Agg_Vehicles String 8000 0 0 B25046_txt_Renter_Agg_Vehicles B25046_txt_Renter_Agg_Vehicles String 8000 0 0 B25046_Aggregate_Vehicles B25046_Aggregate_Vehicles Integer 4 0 0 B25046_Owner_Aggregate_Vehicles B25046_Owner_Aggregate_Vehicles Integer 4 0 0 B25046_Renter_Aggregat_Vehicles B25046_Renter_Aggregat_Vehicles Integer 4 0 0 B25064_txt_Median_Gross_Rent B25064_txt_Median_Gross_Rent String 8000 0 0 B25064_Median_Gross_Rent B25064_Median_Gross_Rent Integer 4 0 0 B25070_Renter_HHs_Total B25070_Renter_HHs_Total Integer 4 0 0 B25070_Rent_30_to_35pct B25070_Rent_30_to_35pct Integer 4 0 0 B25070_Rent_35_to_40pct B25070_Rent_35_to_40pct Integer 4 0 0 B25070_Rent_40_to_50pct B25070_Rent_40_to_50pct Integer 4 0 0 B25070_Rent_50pct_Higher B25070_Rent_50pct_Higher Integer 4 0 0 B25070_Renter_HHs_Not_Computed B25070_Renter_HHs_Not_Computed Integer 4 0 0 B25070_Rent_30pct_Higher B25070_Rent_30pct_Higher Integer 4 0 0 B25070_Renter_HH_Computed B25070_Renter_HH_Computed Integer 4 0 0 B25077_txt_Median_Value B25077_txt_Median_Value String 8000 0 0 B25077_Median_Value B25077_Median_Value Integer 4 0 0 B25119_txt_Owner_Median_HH_Inc B25119_txt_Owner_Median_HH_Inc String 8000 0 0 B25119_txt_Renter_Median_HH_Inc B25119_txt_Renter_Median_HH_Inc String 8000 0 0 B25119_Owner_Median_HH_Income B25119_Owner_Median_HH_Income Integer 4 0 0 B25119_Renter_Median_HH_Income B25119_Renter_Median_HH_Income Integer 4 0 0 B26001_Group_Quarters_Pop B26001_Group_Quarters_Pop Integer 4 0 0 DP05_Age_16_Older DP05_Age_16_Older Integer 4 0 0 DP05_Age_21_Older DP05_Age_21_Older Integer 4 0 0 S1101_txt_Avg_Family_Size S1101_txt_Avg_Family_Size String 8000 0 0 S1101_txt_Married_Avg_HH_Size S1101_txt_Married_Avg_HH_Size String 8000 0 0 S1101_txt_Married_Avg_Fam_Size S1101_txt_Married_Avg_Fam_Size String 8000 0 0 S1101_txt_MaleHHr_Avg_HH_Size S1101_txt_MaleHHr_Avg_HH_Size String 8000 0 0 S1101_txt_MaleHHr_Avg_Fam_Size S1101_txt_MaleHHr_Avg_Fam_Size String 8000 0 0 S1101_tx_FemaleHHr_Avg_HH_Size S1101_tx_FemaleHHr_Avg_HH_Size String 8000 0 0 S1101_tx_FemaleHHr_Avg_Fam_Size S1101_tx_FemaleHHr_Avg_Fam_Size String 8000 0 0 S1101_Avg_Family_Size S1101_Avg_Family_Size Double 8 0 0 S1101_Married_Avg_HH_Size S1101_Married_Avg_HH_Size Double 8 0 0 S1101_Married_Avg_Family_Size S1101_Married_Avg_Family_Size Double 8 0 0 S1101_MaleHHr_Avg_HH_Size S1101_MaleHHr_Avg_HH_Size Double 8 0 0 S1101_MaleHHr_Avg_Family_Size S1101_MaleHHr_Avg_Family_Size Double 8 0 0 S1101_FemaleHHr_Avg_HH_Size S1101_FemaleHHr_Avg_HH_Size Double 8 0 0 S1101_FemaleHHr_Avg_Family_Size S1101_FemaleHHr_Avg_Family_Size Double 8 0 0 SHAPE_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. SHAPE_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. Simple FALSE 1475 TRUE FALSE /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK CwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQU FBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9U6KK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKAOMuL7VbjVtTjt7+O2ggnWKNfIVz/qkb/0JmrN0 rXPEOpXmpp9ttI7SCTyonaz+fd/FuXf/AJ3Vhaneah/ahji1CGwtL/U54tzph22tsdFbd999vy1n aXDqvlRRRXMl/b3Hm3t5buyLLt3/ACJvVPvf/Eba+aq4ispy5Z9TujCPKro6+HxZq66Tcanc6hZQ 2UXmvv8Asb/6pP4/v1wVx8e9VsdKTUbqOzS33/O/k7XVP723zfm/u8ejVveINY0/VbO00y2lnS3Z fNZ7GJ3e32/6pNq/dbf/AA/7FZuh+Bbf4jeTc3VvGbJ/mu9ieVE/yOiIq/3l3szf7dbYetXqS5W3 +GwpxhFXsbHh74oax4kmsktf7NuYrhm/fRQSlWVItzOvz/d3si/8Crr/AO19e/vae/8A2yf/AOLr ldN8IXXgmTTLaz0n7Rp1nFPCpsiFwrsj7tjf7u2n+JbfUvEUlhpunwXttFLOr3Nw0DxeVEv8W5tv /fFOU8Z7RQT0fWwlGla5as/iDql1DqEvlWTW1rc/ZVlRJW89/u7UX/f+Wrb+MPElvfWVtc6NDafa Nx86eT5P9z5N3zV0eneD9I0mSGS1sYonj4VlH/j3+9V7U9Pg1azkt7hd0bj+H7y/7S16ap1Un7+v oc/NHojk9V8Wa9YfZVisrC4muJWiVfNZf4Hb/wBkrk3+PyQ63Fp09raW7y7GVXlff5TI/wC927Pu 7121Z8deFX0HTZ9Yl1vVJSwa3jd5YkS1WVNu9tqf39v3f71ePw+BtI/4S2L7dbXc175X713ukR7X a/8Aqovk+b7ibf8AZ37K4ZVK9HSrLXyRtyxn8KPaW+LM03iDTtLsbW2v5ryV1Ropn2bVXLPu2fMv b/epzfF50v722axhT7LKsUr+a3y/33b5PkVcr96uCs7n+x9UtPsdzJbS3TebB5yvceRat5ru7p/t 7Ff/AIG/9ykm0e502z1WxubuPyoL5L2fUFX90u5Pk3o2/wCX5Nzb/wDYrH61V7mns49j0H/ha10s umxy6faQveKr/Pdf6pXzs3fJ/Ftq7ffEG/0298iWxtP9X5zst191d6r/AHPeuD0OO5j8WcQWWqJP Y7IJYm2Wm3f8/lfe+b+8v8Pyf7VcH4D83WNUt11DT4JoooFt5fK2p5sWxNm/c/yvvT+D++/9+hYm tq77eQvZx7HvkPxAu7661CCzgsLl7P7+26/i/ufdpifEK98rT557awtbe6gaZXmnddv3P9j/AGq4 HTdPV/CtlbLYsmqzyrcWu9djz2+/5E81fu/utm6smwhgudLTVZ5ZLB7W6byIUneV7O3+zp8//AP9 b/uvUfWq3834D9nHser6b49vdYv7u2s4tPm8hYn3pO7blbd/sf7DVi3nxkk0qzubq8trW2hRc2zS zH/Sz/dXj5P+BV5L4t8cxaDqkWoT6VfXOlXSrby31vfO7qsTv5uz/vv/ADvpn/CT6Zo9rFB5sdze y/Z5bGH7V+9i3Ps2bP8AY2J9/wC9vrRV8RvfcnkgewH4uXO69Ro7GAW9qtwrXbywed9/7u9F/u1P oPxXk1bxRpWkS28Kfb9wX7yP8sTS79rfw/LtrzPS9Kn8bLLA26weVokvLH7HsiglVN77v9nZs+T7 3z/wVpeC/CdzZ+LtI15WjTSrK8W1s4YZ96bWR4Hf7nz/ADv97dV0sTNzUZSFKnGzaR9E0UUV7ZyB RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeHTaffeJr6/s451s7eK6v/AN8vz7f9Kdkf /Zbeif8AAUer/hVZ49Jij0uBr7WpYcN5z/uovnb53b+7/F/eatPwpot3dfaoIPNs4pbqW4vLqVfn Zmdvli/+Lrt/D/h2x8M6ellYxlYlO4s53MzerNXiQwjqzcqnw3+//gHS6nKkomJD8NdOjtJD81tq lwredqVr8krM3U11On6fb6XZxWlpGsNvEu1UT+GrVFezGMY7I57t7hRRRVCCiiigCtdWsN5C8E8S zRN95ZF3K1eA6z4dufCq6xaRRRi0s7ZZbqWP5PtTtLui2f3WT/4ha+h65nWvBdlrE003n3FpcSOk paGT+JPuttrlxFN1IWW5pCXK7nzV4oudX8GWsUWmXNs8S7pYNk+/z/8AR3Xe77H2/I/3Pu1x/gnW 76zhsp9QWCaW6vIktbj5GSz/AHvmu7p95tnyf997a948Q+EZvh+1pcTbtR0G1la6luGjXcrt/eVe q+b5T1xniDTYdH0611zTzNpVj9h2zyt/y1RmTe6xfw/f/wA7q8mSdN8k1q+p03UtUP17xJZ6rf6f 8yzXqRNdXX2hYokib7ifwf33/wC+UrM8Saxs1K98PRXMD3DLLcS3FvBvRm2fwJv/AHXyfL/Eu2rH gzUtceW4ubOzgsLSW281rh2SW4iVf7jt975Gi+T/ANBo1K/sbDS9aubyW0Sy83zVu/sqfv5fu/Mn 3l/j/grK3K7WK3R514h8ct4b8Ya7p+qzrsWf9x5zPKkDL8mxP73y/LveuX8PfGCDwxeXst9bT3nm srwWiNsiZW/21+7sfY33Kx/FqT+MLBL6JbRPs+1JXRkTzW/vv/eZ/wDbrC8N+BrzWPts8Xz3FrLF FFb7f9fKzoiJXqRp0+X3zn5nzaHttzr0nj/QXb7HI+oao3lS75fk/ub/APZZP7/3a9V8G/C+28B6 fcar4unttSm8pU+bdLs+TbsXd/d+fb/vvXnXwx+GMv8AwjN3cySXNtLFLcRXSXDPbpZ/c3pvX7zf 8Ar2W7j1DXL631Wa1ZrHTtszadK2x/u/9871Xa//AI7Xl1pW9yD0OmCvqyvo9/p95f6l5nmaVplx t/0R4Jd86bP4n/hX/crYmu7OL7F/ZupST2P2y1byVTzUXbcJ/F/DVjTfiNpWsSSxWcd5cui71RIG d3X/AD8vzVj2HiBofDtxpUun3v2i3g+Z9qOkX+x9/wCXZ/Dv/hSuWF1NO2zRT2Z7dRRRX155oUUU UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAch40t2kktJ 7iN5tKib98it8qtvXYzp/Ev/AKD96vEPjdoE+q6LNp9tqe/TYLOW6ihhl/e7k2/uk2/63/ZV6+nG UOuDWDrHhLTdVtiPskMNwvzwzoux43/vblrhq4Z1KiqqWprGpyrlsfnp4V8eal4V03UILm8ntn3L 5CTb3dfn/wDsPufxbK7vxV8QrPxD4ctPPlbUpbht6+cux1l2f61Nuz7+xPk/h+7/AB1f+KP7OHjC 88QafFa6e15b3svkNKsu9d3z/PL/AHfk/jrhPHHw/wDEHwA8WWv9pKt/Y71ls77yt1vL/fT/AGKH R5/ftqNTtoWfDcN5c+GU17TNBjS3s9r3V2zL822X5Pk/4HT4ZtX8PeI9T+a0dL+6V4n8pJfK+5Lv T7+1vuVq23jOW50HR7Wz0+2s0uP9FlRFeWKWVonRJdn3f9r/AGdldH45h/sfTbXT0/4mVxLbL/x8 K6JPcKj/AD/72z/gO3ZXK5O9mtzToeseD5ne1t4GuWhtGuoriWHcrp8zy/eb+9vi/g+Wr/26z0e4 S8W8ubyZ9T8rybe6d0uGlTf8i79v/wCxXmXgHw3PYaDaNAq2aXsW+e0eX/VMu9N7/wB1vv7dny/J W74YsZNU1zT7GX7Nst7xrrfbs73C7otnzfw/JvTc3+xXmygrtt6G6djs/sNtpurSy69bfZl1KVHt XtJNnkNs2Mm9X3f3fm+7T/D2pRzeH7jSNPVXureJvt0tw2/52/j/ANrf97dRpesaVpcN9q895LcX b7vss16zJ58TImzZ91Pn2J9yoYpLK4a4bUNQa3uLqNpZbjzfs80TLsR4m/2f7v8Alqx1e5dj2TS5 PO0y0lb+KJW/8dq7WP4XmW58M6VIv3Wtk/8AQa2K+vR5YUUUUwCiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAr4y/ao+NB8Xah/whWl20L6bazo11d3K/ 6yXd8iL/AHV/26+i/ib8QJvBtlBFpwtZdUuHYItxLhI0Vd7M35bV+tfMdxbeF31a7ttQvPtP9pXi /ZdQhs22Nt/1uxN/3nfZXNVrKnp1NIxvqzK8GaVFZ/2PPprec8Xm3DfaGR4ldXeL5N33v4Nv/wBh XsHiT7NYyy6U2lLbPdQRW8U0OyV4pV+++xf4n/8AHqqeFdE8P+HrfxK1nbedK1r8rrBL8u5N7/e+ Zar6lqVzo9xp7WNzHZ27S2962+BURW/1W+L+J/kTb/tV4lSXtJ6HWlyou+JNKgS18j7HHZ3Fuq2/ 3X8pVW33vsRX+b55Xqz4V0q+03XnSe8jhtLiK6eBLHYksrL5W9N//AP/AByuq1a3vofCuoXtpP8A 8Tazlutkv3P4/n3f7P3a5f7Rp9r52lTzx3KXvlWv264tl/0OJflRNn+fm3tXMpNxsX1uavhvxtpD +Hf7B1C+i/0W1itWlhV/l+TZsfd91vu/991Nokeoalr0WvT6Ur/Y4GsJV3Ikvm7/AJ5dn/AEZf8A ZerV94Vg8Jqmr+fHMlrP9o+zvAib2ZPK+/8A3qi1Kwub+4t9QZbbVVv5dn9k28r+VLtR/md/u7k/ 3P4KzTi9Y9StbanpvgecTeE9LJRkPlBdrdfl4/pXQ1ynw58tfCcKxW/2VI7i6T7P/wA89txINtdX X1tP4E/Q82W7CiiitCQooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK ACiiigArmPHevS+H/D8stsvmX9w6wWyesrHaK6euE+KNpJNptrPF1il+R9+3bJ/B/wCPqtY1pOMH KO5UVdpM8kh8K6rZ+I7hlgk/ttYvNlmhl81PKbeife+82/f/AN8Vzs3hixv9UtI9TtpLm3iult4P v2qbdjpsTcm75HT/AL5T+KvUr3WJPEGrLL4bsbuW/hTyri527E2fPsV/73zs/wD4/VTSbfVYtWls maG8TR7ln+wu3zys6P8AOrf3fnb+Cvnb1VH2klY7rRvYwIf+JDqUTS6rbXktr+9a7SCV0lZvNR0f b/ty/wDjiVmaw99qWjRbWke3uLFUld4vKiiWL5/4k3ff/jrqLqGW8lTWWuY4biKD7fBE0S/um/1S RL/eT/2f5kpnh3UfLutQi3rc3rK32q0upVRN7fPKif3W+b7n/At1RzdbFGxc3lrDLqt9PJNc6ejW 9/FaW679yOiIj7f4vnRqZY2er/2C6waRbTXDRSxLd3G1JW3P99k2fdf+7XEeG/Enk3Fxp9zBI9lb 2zXv+kN963dPnTf/AOy/3tn9+vR7PUr6/v8A+xvtjW/2eJt12q7pZWV/++fuMn/fdYzi4FXTOF8K zeIdHf7TrkF3eaVFfSxfZ/NSV3n37EdNn8O9f49v96uq8O3DxajqepaksltdrdNbwaem3YzbEfft Td8+zbu/3a7DSdN/s21eJp2uXaVpWldfvM1c0mjt/wAJZLPpCx7IFZ5Wmld0WWV97/J/+z9+pdRV Gx2sdd8PZp3ttYju1jS4iv2yifw74opf/Z67Cvl74oaxc+D01h5WgvLvzYrpnS1/ez7tiJ/wFPK/ 8fSum8J2N54jsNP1NdPtEsliXbC7bXl+TY7vXuwxip0o3RyOlzS0Z73TN6/3lrxzZBpuk+IpZbG0 eW1bdEm3zU3MibE/77rhNF1u817xVaWeoWNokVrLLKs2nxbElt12Nvb/AGdmz7n/AD1qo45Su1HY n2PmfUNFZXhi3az8O6VA3347aNW/BK1a9NanOFFFFMAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKimhSeNo5FV0b7ytUtFAEUMKQrtjVUX+6teeeJtGXT9aglE7W0c7vPBd CLd5E/8AErP/AHXDt8v+xXpFQzQR3EbRSqrxuNrK38VYVqSrQ5WXCXI7nhiaX9s0uZp9Da5uLq68 2zmh+dEXfv3/ADfcXcrN/wADrK8baKrz3EFtpUyRXETXsvnN5UqtEmz5H+fd/B8n+xXt0fgvRoI0 WO08pU+75crrt/8AHq5vxN4fGmpFNHLcx2KOrearbntmyRv+b+Da21q8iWEqUlzp3+86VVUtDyvw NYLf31umtaRbOiytbz6gkH+tZvuI/wDwDZ9z++ldpNoNzc2sV1Yn/icWDeRL8zJ5+3+//tPsSmXd vc+H9J1iO9jsUtL/AHss0PypFL5Sou9f9rZu3f7Va0epRabqFlco8k0Go2y79iu77lVdj/L/ALLf N/wCvMlJyd0dC0NCz16K68O2uqyq0KzwJL5P3nVm/g/3v4a5y21LUNP0OytGsbnR4ltV8++eLzXV /wCP5F/9CaqEN1eTapZafEzWe25b7M9wvySr+9ffsbZ83+qX/vupU16TWG1DStSlkvLqDdF9ksUe JLr53X/a2r8qr9/+/UqFvNDKXiHRFubq41O+1eR/7JliSCaZkTdu2O6bfut8j/f/ALz/AOxWqum6 U9/pmp/2nc/ZLiCW4a7e68rd8ifJ8u3+De3/AACiH+yNH1S3RNBvLa9lj2xRQrvT/f8Avfw7vv0f 2LP4g8A28EsGy7s2aWK3dvvNFv2I1U5bCDXtH09PD9pc6LaLeS3UqSwQvK+y63fP8/8A6FVHwNoT 3eoOrRMDdSpCyyJtZIIv3svyfw7ndF2fw70/u1HpviqDUtZu7m70+Oz0fQV8qx/fr+9uPk+4n+x9 3/gddz8ObUTLLfMyTSIvlNNEdyNK7ebLs/2dzL/3zXXhacpVFF7b/r/kZ1JWi7He/dXFOoor6Y88 KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACoJoYrq FopFWSKRdrK38S1PRQBxl74eutPhkWxSPULCX79lcSfOv+yrN94f7L1g/wBrWsnii3jEUkMtnZsr Wnlfvf3rps+T/tk9eo1F5KeZ5mxd/wDerzqmBpTd1obRrSjoeX+IPDeu6ra3t7b6fZqjRxMsN7K3 m/un3fwo33qy/DdhqCa/qGp3UEjSySsqxW9s483cqf3vu/Nv/wDQq9pooeBpNWWg/bS6nCyeF9S1 i/sJNQW2tYbdmlH2SdvNVimzbu2/7Va0fgTRo4tht3kX+7JPI6/98lq6Siumnh6dNWijNzlLVsyd P8L6NpI/0LS7O0/64wIv8hWoiLGu1V2rTqK6CAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigD//2Q==