20240418 12035800 1.0 FALSE MergedFeatures_Clip 002 Projected GCS_WGS_1984 Linear Unit: Meter (1.000000) WGS_1984_Web_Mercator_Auxiliary_Sphere <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/3.0.0'><WKT>PROJCS[&quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&quot;,GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Mercator_Auxiliary_Sphere&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,0.0],PARAMETER[&quot;Standard_Parallel_1&quot;,0.0],PARAMETER[&quot;Auxiliary_Sphere_Type&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem> 20240418 12035800 20240418 12035800 Esri ArcGIS 13.0.4.36057 MergedFeatures_Clip File Geodatabase Feature Class dataset EPSG 6.18.3(9.3.1.2) 0 Simple FALSE 0 TRUE FALSE MergedFeatures_Clip Feature Class 0 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. Name Name and Size String 1024 0 0 FromBreak Travel Time Start (Hours) Double 8 0 0 ToBreak Travel Time End (Hours) Double 8 0 0 FacilityOID Facility ID Integer 4 0 0 Name_1 Name String 500 0 0 INSTITUTION INSTITUTION String 4000 0 0 ADDRESS ADDRESS String 4000 0 0 IMG_URL IMG_URL String 4000 0 0 TYPE TYPE String 4000 0 0 UND_2023 UND_2023 Integer 4 0 0 GRAD_2023 GRAD_2023 Integer 4 0 0 PROF_2023 PROF_2023 Integer 4 0 0 TOT_2023 TOT_2023 Integer 4 0 0 UND_2022 UND_2022 Integer 4 0 0 GRAD_2022 GRAD_2022 Integer 4 0 0 PROF_2022 PROF_2022 Integer 4 0 0 TOT_2022 TOT_2022 Integer 4 0 0 UND_2021 UND_2021 Integer 4 0 0 GRAD_2021 GRAD_2021 Integer 4 0 0 PROF_2021 PROF_2021 Integer 4 0 0 TOT_2021 TOT_2021 Integer 4 0 0 UND_2020 UND_2020 Integer 4 0 0 GRAD_2020 GRAD_2020 Integer 4 0 0 PROF_2020 PROF_2020 Integer 4 0 0 TOT_2020 TOT_2020 Integer 4 0 0 UND_2019 UND_2019 Integer 4 0 0 GRAD_2019 GRAD_2019 Integer 4 0 0 PROF_2019 PROF_2019 Integer 4 0 0 TOT_2019 TOT_2019 Integer 4 0 0 UND_2018 UND_2018 Integer 4 0 0 GRAD_2018 GRAD_2018 Integer 4 0 0 PROF_2018 PROF_2018 Integer 4 0 0 TOT_2018 TOT_2018 Integer 4 0 0 UND_2017 UND_2017 Integer 4 0 0 GRAD_2017 GRAD_2017 Integer 4 0 0 PROF_2017 PROF_2017 Integer 4 0 0 TOT_2017 TOT_2017 Integer 4 0 0 UND_2016 UND_2016 Integer 4 0 0 GRAD_2016 GRAD_2016 Integer 4 0 0 PROF_2016 PROF_2016 Integer 4 0 0 TOT_2016 TOT_2016 Integer 4 0 0 UND_2015 UND_2015 Integer 4 0 0 GRAD_2015 GRAD_2015 Integer 4 0 0 PROF_2015 PROF_2015 Integer 4 0 0 TOT_2015 TOT_2015 Integer 4 0 0 UND_2014 UND_2014 Integer 4 0 0 GRAD_2014 GRAD_2014 Integer 4 0 0 PROF_2014 PROF_2014 Integer 4 0 0 TOT_2014 TOT_2014 Integer 4 0 0 UND_2013 UND_2013 Integer 4 0 0 GRAD_2013 GRAD_2013 Integer 4 0 0 PROF_2013 PROF_2013 Integer 4 0 0 TOT_2013 TOT_2013 Integer 4 0 0 UND_2012 UND_2012 Integer 4 0 0 GRAD_2012 GRAD_2012 Integer 4 0 0 PROF_2012 PROF_2012 Integer 4 0 0 TOT_2012 TOT_2012 Integer 4 0 0 UND_2011 UND_2011 Integer 4 0 0 GRAD_2011 GRAD_2011 Integer 4 0 0 PROF_2011 PROF_2011 Integer 4 0 0 TOT_2011 TOT_2011 Integer 4 0 0 UND_2010 UND_2010 Integer 4 0 0 GRAD_2010 GRAD_2010 Integer 4 0 0 PROF_2010 PROF_2010 Integer 4 0 0 TOT_2010 TOT_2010 Integer 4 0 0 UND_2009 UND_2009 Integer 4 0 0 GRAD_2009 GRAD_2009 Integer 4 0 0 PROF_2009 PROF_2009 Integer 4 0 0 TOT_2009 TOT_2009 Integer 4 0 0 UND_2008 UND_2008 Integer 4 0 0 GRAD_2008 GRAD_2008 Integer 4 0 0 PROF_2008 PROF_2008 Integer 4 0 0 TOT_2008 TOT_2008 Integer 4 0 0 UND_2007 UND_2007 Integer 4 0 0 GRAD_2007 GRAD_2007 Integer 4 0 0 PROF_2007 PROF_2007 Integer 4 0 0 TOT_2007 TOT_2007 Integer 4 0 0 UND_2006 UND_2006 Integer 4 0 0 GRAD_2006 GRAD_2006 Integer 4 0 0 PROF_2006 PROF_2006 Integer 4 0 0 TOT_2006 TOT_2006 Integer 4 0 0 UND_2005 UND_2005 Integer 4 0 0 GRAD_2005 GRAD_2005 Integer 4 0 0 PROF_2005 PROF_2005 Integer 4 0 0 TOT_2005 TOT_2005 Integer 4 0 0 UND_2004 UND_2004 Integer 4 0 0 GRAD_2004 GRAD_2004 Integer 4 0 0 PROF_2004 PROF_2004 Integer 4 0 0 TOT_2004 TOT_2004 Integer 4 0 0 UND_2003 UND_2003 Integer 4 0 0 GRAD_2003 GRAD_2003 Integer 4 0 0 PROF_2003 PROF_2003 Integer 4 0 0 TOT_2003 TOT_2003 Integer 4 0 0 UND_2002 UND_2002 Integer 4 0 0 GRAD_2002 GRAD_2002 Integer 4 0 0 PROF_2002 PROF_2002 Integer 4 0 0 TOT_2002 TOT_2002 Integer 4 0 0 UND_2001 UND_2001 Integer 4 0 0 GRAD_2001 GRAD_2001 Integer 4 0 0 PROF_2001 PROF_2001 Integer 4 0 0 TOT_2001 TOT_2001 Integer 4 0 0 UND_2000 UND_2000 Integer 4 0 0 GRAD_2000 GRAD_2000 Integer 4 0 0 PROF_2000 PROF_2000 Integer 4 0 0 TOT_2000 TOT_2000 Integer 4 0 0 UND_1999 UND_1999 Integer 4 0 0 GRAD_1999 GRAD_1999 Integer 4 0 0 PROF_1999 PROF_1999 Integer 4 0 0 TOT_1999 TOT_1999 Integer 4 0 0 UND_1998 UND_1998 Integer 4 0 0 GRAD_1998 GRAD_1998 Integer 4 0 0 PROF_1998 PROF_1998 Integer 4 0 0 TOT_1998 TOT_1998 Integer 4 0 0 UND_1997 UND_1997 Integer 4 0 0 GRAD_1997 GRAD_1997 Integer 4 0 0 PROF_1997 PROF_1997 Integer 4 0 0 TOT_1997 TOT_1997 Integer 4 0 0 UND_1996 UND_1996 Integer 4 0 0 BRAD_1996 BRAD_1996 Integer 4 0 0 PROF_1996 PROF_1996 Integer 4 0 0 TOT_1996 TOT_1996 Integer 4 0 0 UND_1995 UND_1995 Integer 4 0 0 GRAD_1995 GRAD_1995 Integer 4 0 0 PROF_1995 PROF_1995 Integer 4 0 0 TOT_1995 TOT_1995 Integer 4 0 0 UND_1994 UND_1994 Integer 4 0 0 GRAD_1994 GRAD_1994 Integer 4 0 0 PROF_1994 PROF_1994 Integer 4 0 0 TOT_1994 TOT_1994 Integer 4 0 0 UND_1993 UND_1993 Integer 4 0 0 GRAD_1993 GRAD_1993 Integer 4 0 0 PROF_1993 PROF_1993 Integer 4 0 0 TOT_1993 TOT_1993 Integer 4 0 0 UND_1992 UND_1992 Integer 4 0 0 GRAD_1992 GRAD_1992 Integer 4 0 0 PROF_1992 PROF_1992 Integer 4 0 0 TOT_1992 TOT_1992 Integer 4 0 0 Breaks Breaks String 128 0 0 AdditionalTime AdditionalTime Double 8 0 0 AdditionalDistance AdditionalDistance Double 8 0 0 AnalysisArea Area (Square Miles) Double 8 0 0 ID Id String 256 0 0 sourceCountry Country code String 256 0 0 ENRICH_FID ENRICH_FID Integer 4 0 0 aggregationMethod Aggregation method String 256 0 0 populationToPolygonSizeRating Population to polygon size rating for the country Double 8 0 0 apportionmentConfidence Apportionment confidence for the country Double 8 0 0 HasData Has data Integer 4 0 0 BACHDEG_CY Bachelor's Degree Double 8 0 0 ACSEDUCBAS 2021 Pop 25+ (Educ Base) (ACS 5-Yr) Double 8 0 0 ACSEDNOSCH No Schooling (ACS 5-Yr) Double 8 0 0 ACSEDNURS Nursery Sch (ACS 5-Yr) Double 8 0 0 ACSEDKIND Kindergarten (ACS 5-Yr) Double 8 0 0 ACSED1TO4 1-4th Grade (ACS 5-Yr) Double 8 0 0 ACSED5TO8 5-8th Grade (ACS 5-Yr) Double 8 0 0 ACSSOMEHS Some HS (ACS 5-Yr) Double 8 0 0 ACSHSGRAD HS Diploma (ACS 5-Yr) Double 8 0 0 ACSGED GED (ACS 5-Yr) Double 8 0 0 ACSSMCOLL Some College (ACS 5-Yr) Double 8 0 0 ACSASSCDEG Assoc Degree (ACS 5-Yr) Double 8 0 0 ACSBACHDEG Bach Degree (ACS 5-Yr) Double 8 0 0 ACSMASTDEG Master`s Deg (ACS 5-Yr) Double 8 0 0 ACSPROFDEG Prof Sch Deg (ACS 5-Yr) Double 8 0 0 ACSDOCTDEG Doctorate (ACS 5-Yr) Double 8 0 0 ID_1 Id String 256 0 0 sourceCountry_1 Country code String 256 0 0 ENRICH_FID_1 ENRICH_FID Integer 4 0 0 aggregationMethod_1 Aggregation method String 256 0 0 populationToPolygonSizeRating_1 Population to polygon size rating for the country Double 8 0 0 apportionmentConfidence_1 Apportionment confidence for the country Double 8 0 0 HasData_1 Has data Integer 4 0 0 TOTPOP20 2020 Total Population 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. 20240418 /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD2rgJx 60hOaU4x3pucViSIaUehpuaepXGTnNCGSkfKAO9Nb7mKNwYk5+lKoJIqxjDGXwH56kDNKEEcR3Y4 5pxcBuxH06U2V96BccMcUtLCM2WTc4AOcUhXzcq2cEY5omAikYDjbzVT+0FyxORtPIxWDZJtRoI1 ApsrfKFUkluv0qotxlQ8hyewHpToZRO27pvbH4CrUrjTJlXajOeMn/8AVTtrBUT8XNLO2CqZwOpO aN6tArqcqf1qrDG7ssXP4UpJK/NySelNZgME9F/nUTTp5ZJ+/U3EWGOwhAMuR2qRAVX1I5/Gud1b VbrSlRovId5f4XzlRUuk63LqhjtAAJPvyvjACg9B7mt40pOPP0J51flNmF75pG82GHyznGGOfarJ fy0LSkbF7+lPzhc9B71QnaS6kESqpQHDAjrU3NB1qDK8krn7zcc9qtTuiJl+R9M06NFiQAdhVa7i acHbgcde/wDKkBJDPFL8qknJyAVPFR3MkyvtiRWz13HAqrBbyrMrTqkoX7rE8g/lVssCemKLgQeZ eNs3QQr82CQx6flVlmbB4GfWmZGMcDFMZ3+VEXcWPp0pDK7We5t32ifOST83HIxipZisMTSEE7Rk YGTUQa6a8EbRbYxyrJn9atuoYAlM45pxeugnZrUghUxp0AZuWwMZNTxLvk5+tMJz1xmlQneCvUV2 Q1hocctJ6l0sAhx1FJj5cgnNQqSsfmNzk8D3qRHLozAcjp3zx1rnkraHVF3VxzNhR65H86cx+U8V CjOQdxB6dFx3qVn28e3aoKMqe8knc+XZuwRwvmbhg+v5VNVwxbVITksO9U3DKCAPmHQGunD21ObE LVMkSZl46j0NOE5A5GTVMSSmYqEXYO+Tmpq1dKLMlVkiTd+fpTXG+N1GQSCAQcYpx9R+NJgmvOOw b/HuCqvqFoYF1wveiTnABxk0oHBB/KjcB0SsUAPLetWDhe3PTioFkCt8vUdqcXJbcOOKadkO4mfm OD09ahDM10FzJweRgbcfl/WnBj5vJ4PrTBKFLyHkk8ClewFWZiJ2yOT/ACqBolDgsvJ61McSTmQ4 4FRyDfu65HT61kySGYqpOCwI425ptsJGnRE7Y/D1odSyFwpwOhPfsKv2ECJbh2PLZ59qlK7Asysr RjjLN8oJ9KZnGxV5AHA/rVS8vEt4GuHI2qMAZxx61R07xFb30U25DHKqk46giuhRk1dA5JOxa1DU be1UGaTaDnA9awLjxI7M32aHAK/KzHofXFZV7dvdTO0kpaPcdoPGBVYuNuQciu+jg42vPc5Z13e0 S9bWs+tX7MX2sTukYentXTWOgLZW5uLabFzuyjvnAHQ555rntL3WRNzLL5RcFY0Izknv1/zzXZW0 hjsClxOryAfeVcA9wAPSscRUkpWT900pRTV3uXnldoSGwr4P3ecU60QIoXqe571DADLAHc/e547V YdkiRnY7VUZJ9B3rmTvqdBM2F5JNRhtyE84JrjU8VnC+aVkDsQXbPypzjAHfua0p/FFvAkLnz0WV Moqxgk88k57dK2dGd7WJVSL6m+23Z8tUheRuSuHT0ZlIB/E1lXniO3nsbl7OVkljRSpK9ST0x/nr XMz61fXEAiklH3txZRgn0FVDDTkTKtGJ35IX7xGPWqraiqD/AI95yN2AVTORjOfpXMWeuX13qMEc 7loS3McYA7d+59etdY0TgF1M28EbcMNoHuPzqZ0nT0kXCansOtb1bwApHKoPd0Iq5KhAG0/gKjXJ AxjI61O5G3OcdqyRTMmXTbSWR3ljMjN1LE5HsPapYLK2swy28ezdgtg9cCpu/FOCb1J3fN6Yrt5U kjj5m2ydVQx7cBh6HvUipsbCqFXqQBVEtcRIn7yE5OP9WR/NqvROXiVuCSOcVyyWp1x2Fc5RiPSl cZRh7UjghGweSKOqge4pFEL2sAKnYfvD+I0y4QIV2jjFWHbYVz3P9KbInmqMdKqE+WVyKkeaNinR T3jZDyOPWmV2pp7HA01oxxbapYnAAyTUUF1FcErGSWAycqR/OpCM8HJ9qVV2gEknAwMnNeYd5XS8 gafYWO4EggKc8Uj6pau4QMSScD5SKs9OmKgnUMWcYLDii4wjnRlWRQSp6Y+tT8tlh39ah6YJIHah 7gR8lunpSARn7Z5xzUTtxnPFLO++JmhG5zk4x/8Aqqupdk/eEAngLj/65qWSydFAAHTuainUyIYo X2MxxkDJFPIfcDjAx0p0KkO07LwnHPHWklcaRGIGjjWEO8oU9Tjr+FWsKieUBwBgmmwoRjPGOT7V R1S//s/T5LjA8xwVQN6mtIxu0l1BtJXKOpz21y6wywSPCScttOB9PWsC4uo7c3Ntaq21yoLEnPH1 /CrFvr8oiKuFDK24ehGen+FZ00jXFw8zEnccjJ5ArtoUJKVpLRHLUqJq6GY+Xmo2BLAKefWpCeD7 U1MKNx716Jzly2nUXazXQecjoDg89vwrstKkF4hcghsYOVOB9M1zGlxJ5UkkuwhwAeRlF75rZsdS QanHbQIzxxA+YyEEYx6e1eXiOWc7RWx2UrxV31Om2BEOxRwOBXIat4omdprOO18rgpIJhk8j0H/1 60r/AMU2dpEnkHzmf0BHGODz71xk80lzO88zbpJDljV4ahd3ktBVqllaLIgMDFOIyQTyQMA+lFIx +U4r0TkDpnmkUSSMEijZ3PRV6mowa6fwhYGaea7OCFHlgc/U/wBPzqJyUY3Kiruw3QdANywu5ZSq o4KKMAkjnmuzGPL6jPpTo4ljTaAMfShVXdnnIryqtV1Ja7HdTgooeNuOMcdaaR19xwKfjFNB+VSR 1OKzV9y/Iq07dyPQUjfeP1pUIB+7u9q9B7XOBb2JkAcZPIHQEdKsKQDsHp27VAYtyhk4apIxt5Y5 J71ySsdsL7D25GKbwBGO/b8qUkA5/KkGfKznoOKzLGXCsV+UZOQAM+ppInyCDjAHY5H8hUzA7Tjr TNoVQowo9AKAI5WAXbtyWqtVqSEsvLtkdMdqqgYGP5110bWsjlr3vdirnJJ705m2gk9BzTPPCqzO cIP1pIomnljkckRYyEI6nsTXClc6bBHGsi+bk7Tz0xTnRApZmyD2PepiwjyrLkH3qjLIXckjHpk0 pOwMiz8xypYe/IppzsbjoOBTdmWPzEHPTtTiMORzyvQdjWd2xCRvtXbkAYoiG9wx4GOnoKmmtsLF IpJXaQwPr2H86ZHG6ZZsetNpp2YmPZj5wCjvgVYYIq4POOcDuarW6mR3dVYkf3QTj3qddrHfn5FH FWtEUDkpGF4JYZNcl4jS8vJsoga3iXOFPPua2tUvTbAyOzBMZKquWwPT8K4vUL97i7doiQh+VSMj I9/rXThoTlPmXQwrSVrMhQBRuao3klc4j+UHoe9N3Fn2HOe2O1WAi7cEZAr1jk2IcMYwqSZJ9hS/ 6sDcck9vel2CNuMe1HLEEHBB4I60hG/YyQwWgg+V3ZwH6fLkZ7/j+NZLZhllSN/lyV+UkAio0yq/ eY5O489TT2YuzOxyxOSayp0eRtvqaSndJIiK5PQYpIlIyxPB6D0FLKrPGVU4JqLcYBzglu2a2IJT IM4+b/vk0oOR3qHeGfqOB6ipdwC59aBCScLkD64Fei+HWgOlxfZ23IR97GMnvxXnUckqSEoyiReR kBh+RrQh1nU4Iysc8aZ5JEY61jWpuasjSElF3PR3kC5XqT0xTY5SSMgAHrkjj9c/pXnM+p3N1dRz TzONhBwhwAR3x6132mX8V5apKhyjDnPUGuSeH5Ym8Kt3qaGAVx3qPJTjGV/lTo3CxE9dvWgsH3Ed jwa57OO5tfmRA6Agsp4pY9zLhcAiqNx9vF2PLeJbc/wlCWz35zirCbwg3EFsckVvBc8HEwn7kkyA 6qzXDRW8kcgUZLYBCexGQf071es7pLmE4nhlkQ4fyjwp9CM8U+KX+Fuo6Gmo2FO1sM7c+3vWPsmt zZVESjnnNMmkEER3McE4GBnrUq4/hIwOOtMeIOe3FQaIRbiJ5zAtwnmgZ2Ajdj1x6U9o2PBk/QUv C8DpQSDjj6UXAjkl2pjdzjuKq1POFAUdTjFQV10V7tzjru8rEUVozPvkcgA/IoOPxq8B8v7xxUDM IHKSMNrDKsT09qcW+QHg+/tXDsdYuPmIyDg8H1qg43PIQTnJq5uVecjA4qKdVlAWI4YnAI61LVxF UPtQdz0xUv2WTBZ22gdT60tvYm2b94xkY9S/NJO4clTnbnOaVrK7DYYzbgCD8oJGPeklcnCbuO5p RwM4woqMAuWwQDjJ4/KpuxAcBCMDDYG1hkYHPShLpXiARgQG2KM965G/v9RRgspeIhm2kNz/AJ9q rm6ae4MjTPCifOqIx5x2HufWuuGFk43voZOqk7HT3Nsl08iXNyRADsKqD8zHoK5S9t4oNQMaZyo5 yc4PX+VK93PJEsbSNsHRQcZ+vrVZSBKQRjjiu3D0JU9W/kYVKilshzZGdqjJpy55zj2xSb13YJGf SgnBwK7DIjPzSEVIowKbjkZT9adn160gFoz+NMLOMkbce9I0qqhIYE+gNAElRSuImDFc5HXFL5o9 DjHXFJJIjIVcEDvxQAP8ynBO7070seWUM3boKgUFX2Z3Z798VaVQiBR0FADZVym5fvDoaYJ+OOT6 d6lP3aiMZDFxycUAaMNks1q0yXURK43Kfl5NWNJ1h9LRkC+Yrvkg+lZkUhTayNhh3Fb2lW6a9FLa yqEmX51lAAJb6gdKxneK11RpFJ7HVWlwbu2EyIyoTgZ7+9WQ7ocNnA9aZY6fHYWwgjaRvUu5bJ/H pVmVAFORk1w+1TdmtDp9lZXQm5HbCngiq7DDEA5oOUYA8MOaGO5icAfStoQ5XpsYzlzb7ipgsNxO KVQu45JAFMHWlYktzVPchMtR7SNq5x601JUc7UyevO0inQqxUHoOwFHkxq+7cQ/T75/ka4ppXO6G weYitg80Stti9GNCiJUyR9SQaybrV4omczJIqq2MtgD8OadOOt2TUk0rIt/jRTIpFliSRc7WAYZ9 6fXatjiZCsgN4+4lgM8k8A+lWHYCI9gB19BUEtkiyqRuA53EHrUcRLIyliQx2n3H9K8pb6neTW8s E5JSVWC9QKmWJd5dSMjoKhVVUtGoZtzcs3b2q0dikKACAeTV6FCy5MRfGGPGDWaASxZ+BV6ck7VA 68g+lYuqzSZQLMsMZIBJXJz2xSkrsliXOoQQw+c8gCA44rFvteiO3y0jlypbawB2t2IOO3+FUdSt 5QGZ5H8mLhd+Pmb2AHp6+nWsrv79q7aGFhKN2zlqVZJ2Q5pJpW3SuXbrk0bhjPNB6c05FBUV6CSW iOfcFbgse1RiXcdwUnsM9ql2joRxUZPOabAiKOzKgUlieMetShHDbXyCpwc+tM3EOhVsMCCMHBqd sliTknqSalJ38g6ATz6U4c00c9RTxVAJjioXj+feFXGOc1PmmOxUZ25HfFADuw9Ka6hxjjPrikiw Ixg0+gBiRhSSeWPen0A7hxRzQAUdsUgzn/61LTAn0uCB75Y7reYT0EZwc1vXEmm2sTTWsxLxL+72 KRz23EHnOP8APWubBIOQce4q1ptsl7erbPJ5YkBw5PCkd+o/ya5qtPXmuawl9mx6LYXP2qyhl3KS 6A5Xp7irW44wazbOD+z7Xy5LpHVeVfoefXk9zV2OQsQDg56Ed68+Ub6xOtStoxXVTnf0qJ4ioyMl an4YVBKdrFQePSqouTdrkVUrXZHSkknJOaSiuyxy3HmRjgZIWrEYATdlj6ZqvHGZDgVbwqqFHAHW uata3Kjpopv3mRTMoQI2cnrWdLZwz4D+bgDAxKwP44NW5G3yE0ytIU7LUyqVLvQQDAwKWiitTInb GUBOB1yB0qukapvKZ5IJIP8AIU8o0u0K3y9Xz6elCR72YoPlJ/SvNPSHIjbd455yOOtTKib2UZyA DjFOIPT/ACKpQk27s0uwEqBw3/1qNgJZjlslcYGBmsyaEGQM+C55HsKtzXO5AVJwf4m6/gKqiJpO WBC579TWcmSzFv8ASIbqf5ZZWcsCTxtA9KzNZ017dBKsSRRr8ijI3N/n61014RBYPKJRERyrAZxX IXt7Pfzb5nBVc7QBgD8K68J7SclZ6I56vKl6lA5I561ItDjHNRs3evV2OQcz54FJsyuTUtpEzMzi AzBAWZQccY7mm4YoTsfauNxx0z61PMr2ZXK7XISNrh8jsMGtfT9Lmv3IUhV2Fw3XPp+tN0jRzrF/ sEqokQ3McZrU1pRYI0K3zSyH5RGjbdg9wOOwrGpUfNyR3NIQVuaWxm3ejX1jB508QEYxkhgcZ9RV Gpbq+u7sgzvv2oFwOM49fWqe+SM5Zflzxjmtoc1vfIla/ukxIA5NRlmYHaBj1PemhhJKDyVxwMU6 RmX7q5PYVRIiZ3/MoGOBipGzjjvUceSxLsCe2KloQMBwOKTJpaDTAM0UwqWOASB14pVUg5yTQA6r Ec8YmiJiUSK+d+TtI9GHcfSq9FTKKluNSaNC81ScSyKYRCsieWQRnd759c9xV/RvEUts0drdFWt+ iueqf/WrnXlLjy2GVXgHJyKagUvlCcDtWapRtZopzfc9Vhu4LglonVlPQqc4pJG3Oec+lcFouopp dw0rmUqRyiKCG/MjFdta3kN/apc2/wDq37HqD3BrD2XJItzcokhZQcEjPpmlUhjgEH6VHJCHOR8r f3gAT+tT28aq3GAQOwHNOTsrkxV3YsomxBjGfXFMnYbSo7U6SQoOCM9s1A7Ar7k5+lc1OLcuZnTU kox5UR0UUV1HIFFFFAE8c1vIjeW6OO+05qBpjCckgBR371UEknWNUyf7qgUjmQ58zkkY57CvLc1c 9G5cku5JS6QxHK9TuVgPyJ5rPkkJQsTucnAyOTWlbrDbWxbeSGOcknJNMMryuGSLnGRxSmr9QZXj jXYTJkBODnufQCkE1xMcRoYotvCkfOfrUjoVcM0Uj8ZJUjA/WmtNMQ0cNrIp3feYqFxjr1/zihRY GRJc211MLa8huLcRkttlUKhUDBJOenI/MVy179nS6lFqxaAH5WbitvVND1CQm4a5SfGSRkgKPak0 Hw9cXE8N5dxotsDkRtyWPb9a9Ci4Uo8yl8jmmpTfLYybSxLywy3gkS0kB2yqpIJwcfrUk+hXcAjY KJBMxWMowOcfj1PpXpKQRxoqxhRjoMVIIxtAYZwcjNT9ale5f1eNjG0vQIrK2EcgWWQ5DPtxx6fS q95pdlpct3qGJJDKuGiPIJPQYrozwM5qN4YpSrOgYg5XIzg1zqTvd9TXlVrHlsM9zZTysjtFMSQQ oxtyc4AqLkszO7OzHJJ6mt3xPp1xBfveShBHO+FCHpgcZ9zWFivVpcrXMupwVLp8rEPtSAetK+cc dfSgZxzWpAiqFzilpGBP3TimqrjGWzQAYxIOmDUhquxJYuGJxwFFODuANwHXqaVwsS0H6UwSqegY /hTgcgGgBf4qKazbcetIQZUIIxTAd3pTyMVWKMo+cDjpVvTrSbUJ/s0BXdjkscYFK4Fd4ih3pjPf 6VpS2OLGK9gbzIW4b1RvQ1Dd2l1ZMqXNvIjP93gNu/LNSWF9Po9w8M0LNFKP3kMykEipbfQaXcm0 WzGozzW8iIVI5dWw6e4Heux0nSU0iwaJZmlLvuyeg+lc/oNpDJqjXVlcqsA6xMvz/T/69dZnjHau efvM0T5Qo+2Q20sMUjDzJ22oo6nA5P0FFc3Al3N41ZZZGZIlLKB0VSOB+oqZR5lYKbs7nUSsHcED FMY5OaVj3BPNNoirIUm2woooqiQooooAgVBEztIQuTxk5IHpTt284iU5P8TCl+yMxJUByOpNSLbl XUYy3U15Nn2PRHC3jt08yc7uckk8D3JqaNlkfcBwAACpyOQD/WhuFKyAEHtSxyoo2om0D2rVWQDX XGcjg+tMYblCAjB6+1WN4OS3b2pAyOxx94DnPYUrXGZ7xBpNw3FUONnrV2OLdywx7elNtyBvOB8x JqbLFxkYGKSAGUqCy/l60qsHUEGiQZX7xH0qv5RDg7jjvjvV6W1Jd09CR2JbaelPVjt6ED3oVB15 /OnEZHzVIynf2cWoWjwyjIPcAEg+2a881G2FnfvbqrAIo+8QT09q9KdggzwMnHXFYt/oUOoG5mUk 3TfKGdsheOgrow9bkeuxlVhzLQ4XvRWjqGi3OmWqTXBX5nKYU/kaza9OMlJXRxOLi7MSkK7lIJ60 7tSUxESKG69RwadJHuwQOR6014mkYLGME96lAYfKcZHoc0vIfmV/n3gOQBmrFRyZZgpT5fWpFwRw aYhCoPUZoChFO0CnGmSZxxn3xQAwqznrjFOVCh3btpHOV4xTUUnDA4A7U6RgU4B5oGWLK8ntXZ0I JPQsM8+o961NTtJr6w064EPmuU2FwMsT2yaw/LbALP0rX0fX5rNFjkzJbjPy4GR9DUtdUBQs7iTT 75LmFE8xMghh2r0CyuheWqTDbyOQrA4rkbvSDcSxz6ahkt5z8o/uHuDWppGiJpskgnuts864Cxvt OPas6lnqtyl2OiqmlmF1l70Y+aIJ7g5/wx+VWIovJjCB3b3dsn86krMNhSc0lFFABRRRQIKKKKAJ gcyYZgo9PWpCwBAB4I7VVW2YfecEDjkVYMbLaukR2yFSEYjODivNTZ6QPGX29s9qlAAHPP0qraJc AOs0xlHG3dGF/lVhw2xiBzjinYBjbVYs+AOnNQfe+WNdsZ5J7nNRt50qN5y4COQvYkA8Hr9amDrw OhPQVL00Ex4UKpJFIkwL9TkDOKVFO0jOQexpESNGO1FUjjIFCAmzwWkOB6U9cNhscelRhNxz1+tS r05poZWmtPMu0m3kBeq4GD6VORk05u1NIwOtNgJtyOlOGADgcU3t0NV2kSYPEjkMwIBUkY/EUkI4 vxTd3EuqNBKxWFPuRhuD7ketYXXkV3N54Yt7iNJGmke5RtzSu5y49D+lYWm+G7jUY5WEyJ5cmwgj J969KjWgoW7HHUpycjGRGlkWNBlmOAK0rjQrm2sxLJ/rDKIwgB5NdNpXhuHTrmVpv32ceW5PTnP4 HpW+wTbvcDC85x0xWdTFPm9wuGH0944W90D7FYGeXh44txYNgg5HGOh61gbufeun1CS/1y/uoLXb FHEpUBxgt3/Wsm70jyDM1sJDHEoZzIu0jPp685rWjUtpN6kVIX+FGS0RZgzHPPT2p+xSMFRWvF4f vpQgKiN3Xcgc/e9vYiqd1YXFl/x8IF+bb94Hmto1ISdkzNwktWjPZih2A56D6U9UbHzMT7U5UAJJ 5JOav2Vk80itJBM0OCfkGC3sDTk1FXYkm3ZFS3gMkqQp1dsD2qa8tBG7rGyFUHOeC3bj1rQl07+z p7R5Cylyu+NSSwB4POABxWh4m0/Slg8+Bh5g5KxSL/n9DWLqrmVtjVU/ddzlIgwU78596EBVhH1L HApyldo5yPWmy/cOBmugxNa18QXNpZLbQ7DtJ+dh79hVfWdQN1Jayh/MnEIWQrxggk5/Ws3YRypA OOgFOiUiPkg55qVFXuF9C9BruqlXLXbgMAoGBwB6ccfWuh0DU7u4tHQo9w8b8uzdFPT6965BnVRg cn0FdF4RMsc0rtgRS4Qj0YAkfpmpmly6DW50TXF+JAq2Ksp/i80ACriklQWGDjkUtFY2G2FFFFAg ooooAsDYSRnHpzT2aNEJLD1qumoW+/yxvJ/65tj88U0AtuYgZY5HtXm3R6RJuMoD7jGvp3NTDcR8 r7frzVe3hdSxPmFCMYdg3PrxUkcvATaC5bBHoPWnYBEgURjnc31pVgI+Yj5sYqZlVR938qQbGUEg E96LIBoGOMcUwgM/DD8KeUUnhajjt8NkvkA5A9OKQEo4Hy9e1MjZ1JyCBjoTnn604RHPUYpzRoB0 poCvLNL5q+XEZBuwcNjAqbcTglSM9qFUegzRsXd6mloA7knnioltY0maVUwzYyc9cZx/M08JvOdo AHb1qDyn837pwD1z7n36Yx707CRZaLKFRjPaq4g+zyvMNis/XAxmp1QcZUUrRr2UU1KwNEAlJOSD jNOnlZbYvB5e8EcyA4H5c0SooQAADJqRYkC7cZHeqfLa6Jje9mV7Lf5TGYxmVnJJQED9eameGKVW V0BD43e+Kc8a/wB0VVNtL524SZXuuanRvcbbXQtMgYEFQ3GMVw3iC3vIruOL7MscTEGNYxnnJ6n1 zmu3VWGMAN65qJp7Z50hdBvPQEjPXGcZzV0p8jvuKUedWKdposPkD7WqTOSJMlcENjB/lWsirGgA 4A6AUvlpjoKQoh4xUNt6spJIJIkkRgwHzDBOBXB6l4XdNTdbUkq6NIWI+76D6mu7+XoAKiOwyrjH vxVQqum7omcFLc8peKW3O10bPGQ3UUjk4wFPPcivWjDExLNEmfdRVdzbrlfKjOePu/8A1q6vrnkY /V/M8sIIB4P5Uv7wcBOAK9MWyV8/ukH1UVbS3gKA+VGWHBwoqVjb/ZJWH8zzS30q5ZoFkjKGblXY cHPSun0KzKaTtY7JTLvPsVPQ/lXUNGmOEAx0+XpVPYEkJx+GKpV5VFawTpKAUUp60laLYxYUUUUC CiiigAis13EqNme9W0hSMD2FOHqook6bs9OcCvNUUekPHAGfSkKjkgDdijaPf86UqO3FUAw5baSc Y6io1gVG4YnPXJpXPQnnFCyfLzxzzUgOBwME4x1JqOGaGVsRSo5HJAYHipWIKe2OnrVeGOOGQlQM twMADimBYfIAwPmpOSvPXvQACO5/GpMY+lAERVtpI4oSMgHufWpW4GaZvOeaVgsOCjGM4NAGBQTk cUzcd4Hb0pgL1PII9KgW5P2ryuDjqAOQOff6du4qxkZJNAyBkjJoAQ/M4wpHuRSlcDg4oV85PpQ3 PPagBhcjFIHBOelMnhMgAyRjupxUK2rM65dvlx0OKkC8MYyOaaY0WQOQN2MZpwHQenJp2M9elUA0 DnrxSnpVW7vDbNGpRm3HAwCeeev5VYQlgM8EjOKAHY46DNVV3O/zDGPbGKsHJNLgZ5NAEQDq33iU 757VLsTb0H1xTZPljwv8Rxmn4CKB6UWsriW9hu3J61EYzEdwK4XoMdR71KZBuA4z60pwCN3enYd0 AJdMjiqn395IwwqSeJlRjEdnHOKz44rlZkczggH5hg8iqSaacTKbT0kWSMAUlOfg496bXatUcbVm FFFFMQUUUUAT7mLAjpUjFI0wzgZ9TiiivNR6RJtPqaDuxkH9KKKoCu+4Nzz6VVlt55pDtmdFxwEA yPzoopDG/YLgoobUZwQCM4GTxj0/GpkQxxhGdnKj7zdTRRSYEY+3kq0TQqM8hlJOP84qzEbz5vO8 th2CDH9aKKYDlduhB/E1XRbr7SWYsY8kgZGOvT16YoooAtCXqCCMUwSAtyQF9SaKKkQ+N0ZsgjHb B61IWzxRRVy0JTEVRyTSgdR3oopJFCsM96VUC0UUAICfz5pcccUUUAKOeaYSQ3PbpRRQwYhbNB9x RRUgNlb5MZGRyKGKzpt4Pcg0UVrFXgQ3aRGB5KsHVPmPRBimGU8jkqexoorelFON2c9WbUrIhmeZ slXbkAYFCZxzn8aKK3SS2MW29wZizLw+dwBORtxTu9FFSlZlN3QUUUVRAUUUUAf/2Q==