20141121 10130300 20250320 13501000 20250320 13501000 FALSE Neighborhoods_ExportFeatures 002 2793979.045155 2869248.892647 1038001.359471 1082836.212714 1 Projected GCS_North_American_1983 Linear Unit: Foot_US (0.304801) NAD_1983_StatePlane_Missouri_West_FIPS_2403_Feet <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/3.4.0'><WKT>PROJCS[&quot;NAD_1983_StatePlane_Missouri_West_FIPS_2403_Feet&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,2788708.333333333],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-94.5],PARAMETER[&quot;Scale_Factor&quot;,0.9999411764705882],PARAMETER[&quot;Latitude_Of_Origin&quot;,36.16666666666666],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;Esri&quot;,102698]]</WKT><XOrigin>-15658800</XOrigin><YOrigin>-45949000</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>2</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102698</WKID><LatestWKID>102698</LatestWKID></ProjectedCoordinateSystem> 1.0 INSPIRE Metadata Directive 50000 5000 ItemDescription ESRI ArcCatalog 9.3.1.3000 en A brief narrative summary of the data set. REQUIRED. A summary of the intentions with which the data set was developed. REQUIRED. The name of an organization or individual that developed the data set. REQUIRED. The date when the data set is published or otherwise made available for release. REQUIRED Neighborhoods vector digital data withheld The basis on which the time period of content information is determined. REQUIRED. The year (and optionally month, or month and day) for which the data set corresponds to the ground. REQUIRED. The state of the data set. REQUIRED. The frequency with which changes and additions are made to the data set after the initial data set is completed. REQUIRED. -94.481377 -94.215683 39.140160 39.017077 2793999.446683 2869349.328462 1038001.359531 1082703.791056 Reference to a formally registered thesaurus or a similar authoritative source of theme keywords. REQUIRED. Common-use word or phrase used to describe the subject of the data set. REQUIRED. Restrictions and legal prerequisites for accessing the data set. REQUIRED. Restrictions and legal prerequisites for using the data set after access is granted. REQUIRED. Feature Class en FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time The person responsible for the metadata information. REQUIRED. The organization responsible for the metadata information. REQUIRED. The mailing and/or physical address for the organization or individual. REQUIRED. The city of the address. REQUIRED. The state or province of the address. REQUIRED. The ZIP or other postal code of the address. REQUIRED. The telephone number by which individuals can speak to the organization or individual. REQUIRED. 20100113 Vector Simple FALSE 0 TRUE FALSE Neighborhoods_ExportFeatures Feature Class 0 Shape 8 5 Geometry Shape 0 0 Feature geometry. ESRI Coordinates defining the features. OBJECTID OBJECTID_1 OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. NEIGHBORHD NEIGHBORHD Integer 4 10 0 INSPECTOR INSPECTOR String 4 0 0 CEOfficer Code Enforcement Officer String 255 0 0 CWUSERNAME Cityworks Username String 255 0 0 CW_Disptach_To CW_Disptach_To String 50 0 0 CWEmployeeSID CWEmployeeSID Integer 4 10 0 OfficerPhone OfficerPhone String 15 0 0 CWEmployeeUniqueName CWEmployeeUniqueName String 255 0 0 NAME NAME String 22 0 0 Shape.STArea() Shape.STArea() Double 0 0 0 Shape.STLength() Shape.STLength() Double 0 0 0 pat Feature Class 43 FID 4 5 OID FID 0 0 Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape 0 5 Geometry Shape 0 0 Feature geometry. ESRI Coordinates defining the features. AREA 8 18 Float 5 Area of feature in internal units squared. ESRI Positive real numbers that are automatically generated. PERIMETER 8 18 Float 5 Perimeter of feature in internal units. ESRI Positive real numbers that are automatically generated. NEIGHBORHD# 4 5 Binary Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. NEIGHBORHD-ID 4 5 Binary User-defined feature number. ESRI INSPECTOR 4 4 Character ARC No compression applied 0.079 0.079 Local area network withheld Downloadable Data Esri ArcGIS 13.4.0.55405 Neighborhoods 2793999.446683 2869349.328462 1082703.791056 1038001.359531 1 -94.481377 -94.215683 39.14016 39.017077 1 1 -94.481449 -94.216035 39.140524 39.017078 The purpose of this dataset is to provide detailed geographic information about the neighborhoods within the City of Independence. This dataset supports city planning, zoning, community development, and emergency response. It helps city officials, urban planners, and residents understand neighborhood boundaries and their respective characteristics. <DIV STYLE="text-align:Left;"><DIV><P><SPAN>This feature class represents the boundaries and geographic data for the defined neighborhoods within the City of Independence, Missouri. It includes neighborhood names such as Englewood, Santa Fe, and other locally recognized areas. This dataset is essential for urban planning, demographic analysis, and community engagement activities.</SPAN></P></DIV></DIV> Planning Zoning Com Dev Community Development Properties and Records GIS COI Independence Neighborhoods ISO 19115 Geographic Information - Metadata DIS_ESRI1.0 dataset 002 withheld Local Area Network 0.079 Feature Class Enterprise Geodatabase Feature Class GCS_North_American_1983 North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 Explicit elevation coordinate included with horizontal coordinates 1.000000 GCS_North_American_1983 Esri 8.0.1 0 20250320 Dataset copied. withheld 20040618 08284400 Dataset copied. withheld 20050318 09183000 Dataset copied. withheld 20091210 10324800 Dataset copied. withheld 20100126 16435500 Dataset copied. withheld 20100618 10090900 /9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDAREA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD21HV0 DKcg0AOoAKACgAoAKACgBsjrGhdjgCgChbKbq5aeQfKOgpgaNIAoAKAFU/NhSPTNADQNvFACk4HN ACEgCgBEGFFADqAEDAnFAC0AKSM+vFABmgBCeCTQBCxIYEAgk4OKAJu3NABQAvUUAJQAUAFABQAU AFABQAUAFABQAUAZ1pKbeY28hwCfl9qbA0aQBQAUAFABQAjMFUknAFAGa7PqE2xOIl70wNGONYkC KOBSAdQAUAIRuJB6Dt60AKOOlADm5w3r1oAjf7tADXIIBoAVWG3ntQA1myeDxQA0HBzQBKGDCgBQ MUALQAjMqDLMAPUmgCBriAFB5sYBb+8KV0K6JPPiPSVP++hTuMXzYz0kT/voUAIbiJeC4PrjnH1x 0pNpCug+0Qf89o/++hRdBdAJ4T0lT/voUXQ7gJ4ScCWPP+8KLoLgZlJxH87e3QfU9qUpJbkuSQm2 YkkyKvoAucfj3rJ1X0IdR9BClxn/AFyY/wCufP8AOj2rF7RgUuc/LNHjtuiJP6MKPavsP2goFwOr RH6KR/U0/beQe08h2Zf7qf8AfR/wo9t5B7QQmbsif99n/Cn7VD9ohpklU4KR/wDfZ/wo9qg9ohl3 a+eu5fvj9a2NCO2u8fupztdeMnvQBd69KQBQAUAMkkSJCznAoAzi0t/LtXKxCmBoxRLCgVRx/OkA CWMkgOuR1GaAHZB7igBc45oAQZLFjxntQAtADl5BHtmgBtACbRjpQAxwBjAoAZQBAsskkrLGu5Q2 3JUgDjrnoeeMCs5VEnYhzs7E4gfOfPcH/ZAx+oNZ+1ZHtGL5Mn/PzL+S/wCFHtZC9oxTFIVx57j3 AGf5Ue1kP2jHJEqkMSWb+83J/wDrVDk3uQ5N7iTKSEYc7GDEeo6f1z+FJCHghgCDkHoaAFIBGCKA CgAoAKACgAoAKACgAoAKACgAoAzNRuTDcKozymf1NUkUkXZ7lICAclj2FdR0EV7CsqK54IPJ74NA Ea21xCqtbyhgeSj/AOP+frWKq9zJVO4fbp43KS2+GAB69j9M+laxalsaJp7Df7QlY7UjGT0HJqrD FWzlnYPcOR/sigC8kaxqFQYApADtt4HX+VAFRbaIwPI0KtJlz05PJ71zTfvGEn7xNDBF9njUqr4U DcRnPHWouybjvs0H/PGP/vkU+Z9wuyOOBC8vL4D4GHYY4HvT55dx8zJRCo6NJ/32T/Wj2ku4c8hm xjPhZXVQvIznOTx1+h/On7SQ+eQ4wselxKPpt/qKPaSD2khBDIP+XmQ/UL/hT9rIftGBjlP/AC1X /vj/AOvT9qw9oyMLI7YWRSndgv8ALmj2rH7RlhEWNdqjArJu+rM27jqBBQAUAFABQBFB8odD94Ox x7EkihjJaBBQAUAFABQAUAFABQAUAFABQAUAY2rIWulIH8A/ma1gtDSC0NNbZBMZTlmPTPatzYWa VAjJ95iPuigB8f8Aq0+grjOUgPmG9kCYA2KCx5xy3Fb0tjansTJGseT1J6k1qaD856UAIzBRz17C gCEnJzQAWxb96jHOx8DjsQD/AFrmqK0jCasx1tjyRj7uW2/TJx+lQySWgRDbHMbt6yP+jEf0oYya gREgIuJc85CkfT0/n+dAyWgRHJOkQOSSQM7VGT+QosBXF0JQCyzKh52iJyT9TinYdiZbiLGBuUej IV/mKVgHefF/z0X8TRYQfaIf+e0f/fQosMBPCekqH/gQosIeGU9GH50ALQAUAQXPCK4HzB0APfBY A0IZPQIKACgAoAKACgAoAKACgAoAKACgCldKGm5Hat6extT2LPkp23D2DEVqaDZikFtIygLhScfh QA6QOtuwi/1gQ7frjiuPqcxC1yLeMAwlBgn5yBn8e5NdHPHobc66E7njFaFkZkUOE3DdjIGeaAHE ZbqMmgA2GgCsiQvPOXthId4+bYD/AArXPU+IxnuWVdVUKI2VQMABelZmYpnUfwyf9+2/wosAy0/1 GeeXc8jHViaGNk9AitMx8+Nk4wSjMegz/M5A/OmMlMRY/NI5HpnH8qQhyIqDCKFGc8CgBhhC8xfI 3t0P1FFwASsJFR4yN3RgQR/j+lAyWgRFbNvtkf8Avjf+fP8AWhjJCAwwQD9aBEZtoD1hjP8AwEUX GAtoVOViRT6qMfyouAfZYC24woW9SvP50XYCNbRuMfOPTDkD8ulFwF8wx/60YH98dP8A61AEgIIy DkeooELQAUAFABQAUAFABQAUAFABQBVdfMlf/ZIH6A/1ropfCb09gM87QCZI027d+Cx5Hp0pOqhe 0QgjMtwPtMUZwDtH3gc49R7frUTndaEynfYt1mZlPUrSO7tj5hYeXlxtOOcU4uzKi7Mof2FbZizJ MRGcjkZJznk4/Sus6C7LZQu65BCAKNgwF45HFAFa30a1tpFdPMLKwcbmzyM/4/5NAF4yGfy0jdgD yzKO2PceuKznOy0IlKy0JoYkgjCIOB37n3PvXO3fUxbuPoEFADIf9UtDASZiEABwzEKMdfw/DJoA JI8wFEABA+XPTI6frQA5GDorjowB5oAdQAUAV5ph58UcY3yBiSoPQYPJ9OtCGPMkuD+5Of8AeFAh 0MflQRxjoihfyFDAfQAUAFABQAUAFAEUPV2Awpbgf1oAloAKACgAoAKACgAoAKACgAoAgg/11z/1 0H/oC10U/hN4fCR4SCCWNBgHAUcnqAP51nUWpE1qWWRXXawyKzMxggC8o8gPbLlh+RNFxjWfzbOR u+1lP1GQf1FNbgtwrrOkU9fwFAEczFIJHHVVJ/SgCwihI1QdFAFcZyjqACgAoAhtTm0hPqin9KHu Nij97KGABRM4Pqfb9fzoAloEVoo5gHXzj8rkAbQcDqB+RFMZJtnH/LVPxT/69IAKSsCDIoB6lVIP 86AJFVUGFAA9BQIWgAoAKACgAoAKACgBkpZYyUHP+c0AESLHCiJ9xVAX6UAPoAKACgAoAKACgAoA KACgAoAigHMp9XP9B/Sumn8KOiHwkNyp2EfxBWJx2GD1/wA/ypVLWFO1i3XOYBQBXihiaLYy/MOG BPf/AOvTuMcbWI9n/B2H9afPLuPmZFBbo8Kvul+bn/WMeO3en7SQ+eQPp8UhbdJN83UeYcflR7SQ udj3EiyRKJnwzEHhfQn0qBEnlv8A89n/ABA/woERSfaVeMLNH8zYO6MnsT6+1PQY8JcE/PMmP9iP B/UmloAw2sUUBUbyFTADOSMY9OlO4XLCjCge1IQtAEcf35f9/wD9lFAElABQAUAFABQAUAFABQAU AFAEUn7w+UOh++R2Hp+NAyWgQUAFABQAUAFABQAUAFABQAUARw/cP++3/oRrph8KOiHwkcqHzZuP 9ZEAvvjOf5j86iqtUyKnceJxIAYR5gP8WcAfjWNjMa/2lV3b4vpsP880aAI8czHJEe4dGBIIoAep uMDckZPchz/hRoBFZGX7Db/In+rX+L2+lN7g9yR5pEUnyGbAzww/rSAwm8TwyG1ZbO43GReCVxgk pnOex9s1fIyuUsL4os2VW8i6AZdy5jHIIJGBnPIH+OKXIxcrGT+JrZEeQW9zuhydjIAWO0ZHXtvX r+GafIw5WSr4lsy6K0NyoY43GPj7wXP03MBS5GHKyWHWYLsSIsU6YjJ3OnGfTIJ5wQfxo5Gg5Wi8 LmH5cyKM9CeAfoe9TYViagRHGfnl/wB7+goAczqoyzAD1JoAYlxA5wk0bH2YUWAloAKACgAoAKAC gAoAjkY7ljU4Zu/oO5oAciKi4UYFADqACgAoAKACgAoAKACgAoAKACgCOH7h/wB9v/QjXVD4UdEd iCTAbfJGJUAwFwDj1PP4flU1ItrQU02tCUSlQB9nkUD0A/oa5zER5ldGUrMuRjIjOR+lACxXAkOx gyv7qQG+maLASk4BNAiO2XbaQr6Io/Sh7jJT056UCK8UEcgWVkX+8gxwvp+PP607sdx4toBKZBEm 8rtJx2/yTRdhdjZIomkSMxrg5JGOuMf/AFvyouwuSeVGDny1znPT/PoKV2FxVjRDlUVTjHAxRdhc juzttJXAG5FLL9QOKFuCFFvEDkIAfUcGi4EYgX7VIGBZSqsAxJGeQePyp30AmWKNTlY1B9hSEOIB GCAfrQBGbaHOQgU+qHb/ACouMXyE/vSf9/G/xouAvlD+8/8A32aBDTC3aeUfTH9RQMY8bIMtdzD8 F/8AiaAEjjuOS07AdgyqT+OBT0Ae3mRjJlB9BsyT+tIBqrcbmcmPJAAUgj9cmjQCQCYjlowfTaT+ uaBBibpvT6hT/jQAiFkk8t3L5GVJAyfXp+FAyWgQUAFABQAUAFABQAUAFAEcP3D/ALzfzNdUPhR0 x2QGM+nFUMSM7JTEem0MufxyB/nvXPVjZ3RjONnoS1mZiMquMMAR70AQyRukTeXKcAHh/m/+v+tA yZRhFHoKBEd0cWkxH/PNv5ULcaJRwMUCCgCBz/p0Q7eW5/VaOgyegQUARzjdCVPRiAfxNCAkoAZ/ y3H+7/WgB9ABQAUAMaWNSQXUEds8/lQA0TFlykTn6jb/AD5oGGJ2HJRPXHzf4fyo0AcsSq24ks39 5j/nFAh5IAJJwB3NAEUfzs0p6Hhfp6/j/hQBLQAUAFADJELAFThlORQA0SleJU2e4OR+dAxfPh/5 6p/30KdmFmKJY26SKfoaVhD6ACgAoAKACgAoAjh+4f8Aeb+Zrqj8KOmOyFXLZyTn61QyNlWWRUlU OACQGGfSsquxnU2HC2gHSFB9FFYXZkN8pDOVwQAoOASO5oASW3Tyn5k+6ekjf40XActuAoxJKP8A gZP86LgR3UTi0m/fyf6tuML6fSmtwRN5bf8APZ/yH+FIQFJf4ZfzUGgCs6XP22LE0X+rfGYj6r/t U9LDJwLkdXiP/ACP60tAHZm/uIf+BH/CgQyYzbB8ifeX+M+o9qBji8w/5Yg/7r/40ARCeQ3JBtpe EHde5Pv7U7ASiWRuBAw/3yAP0zSANszNy6qvooyfzP8AhQACBc5dnc/7Tcfl0ouIeiJGu1FCj0Ax QA6gAoAKAIpuGjY8oG+bn8j+dCGS0CCgAoAKACgBkxKwuQcHHB96cVdjW4qKEUKM8etda0OkGjRv vIp+ooAZ9lt858iPP+6KLBYUQRDogH0pcqFZAYUP978GIpcq7ByrsJ9nT1k/7+N/jRyR7C5UHkAd JJB/wLNL2cewckQ+zp3aQ/8AbRv8afJHsHKiaONQgAzge+aooYSFHpQBEpJuEyeNrfzFZVdjOpsT 1gYkUfzSySZ4OFH0H/1yfyoGOmOIJD6Kf5UCHDoKAGTjNvIPVSKEBJQAUAQt/wAfsftG/wDNaOgy agQUARzfcH++v/oQoQElAEXAuvdk/kf/ALKjoMloEFABQAUAFABQAUARS/M0cfGGbJz6Dn+eKBkt AgoAKACgAoAhujthHu6L+bAVUPiRUdyauo6AoAKACgAoAKACgAoAMn1oAgcFEZyMgDPFACN5jBf3 TZVgQcj8e/pmsZVItWMpTTVhZnlMEgjhkDlSFOV4P51iZiiZUUDypVA4GEJ/lRYCO4uENrMAJAdh 6xsO30ppAWqQhk3+qagB9ABQBECpuyCRuCDA+pOf5CjoMloEFAEc33B/vr/6EKEMkoERTDAWQDJQ 5P07/wCP4UIZLQIKACgAoAKAGu6xozscKoJJ9qAGBHf5ndhn+FeMfjQMcsSq27LFvUnOKBD6ACgA oAKACgCC7BMSKASTKnA9mBP6A1VP4iofET11HQFABQAUAFABQAUAFABQBHclRbSdclTx+FJ7CewC eI9JUP0YVyWOYeGDdCD9DQAtAEV1/wAeso9VI/OhDJaBEc5xEfcgfmQKEMkoEFAEJRZJ3DD+BcHu OTQMcHKHZIev3W7H/wCvQIkoAinPMS/3pB+gJ/pQhktAgoAij/dt5R4H8H09PwoGS0CCgAoAKAIp fnPkjPzD5j6D/GgZKBgYHSgQUAFABQAUAFABQA113rwcEcg+9OLs7jTs7jYpGYlZE2OO2cgj1zXT GSlsbxkmSVRQUAFABQAUAFABQAUARyZDYIxQBE0eDmMhSeSMZB+oqZQTJcUxpW3Y/v7eMH+8VBH5 9vxrGUJIycGiUW0A5WJB9Bis7skZcxJ5QHzffQfeP94U0wJPIT+9IP8Ato3+NK4EF1CREu2aUfvE 75/iHrTTAn8p/wDn4k/Jf8KQChHH/LVj9QKBCIGE77mz8q9sdzQMkIDAggEHgg0CI/JA5jZkI7Zy PyouAyQsShdCGjO5SASp4I7c9CaBipc+aCI42LA4bPAB+tFgHeXK3LTFT6IBj9QaAEbKrtlG9P7w HI+o/qKAFt38yBTuDdRuHfBxmhgS0CCgAoAhm+RklA5BCn6Egf4H8KBk1AgoAQkDqQKADcPUfnQA uaACgAoAKAI5hiMuOGQEg1UXZlRdmSV1HQFABQAUAFABQAUAFADEf+FhuX0NAAyhzmP/AL5PWgCM jsaAGBChzE231XGQfwqJQUiXBMJZgyKjjY5kTAzwfmHQ1i4OJk4tFqoIIbrmJR/00T/0IUIZNQIK AIx/r3/3V/maAJKACgAoAhg/11z/ANdB/wCgLQMmoEFAEUZ2SPGccksvuD1/X+YoGS0CCgAoAhkP mt5S/wALKWPpznH1/wAaBk1AgoArzp86ykAqoIOe3vWlOVnY0g7OxL5Uf9xfyroNhDbwHrBEfqgo sFhPssH/ADxQfRcUrIVkH2eLspH0YijlXYOVCNCoUkNJ/wB/G/xpcsewcq7EYt4ecwxseeWUEn8a dkFkSiQ+1MYvmn+6KAHq4bgigBcigBePegA496ADj1P5UAHHrQBAvX8D/KgBKAHCRx/EaAEF1l9g IJHX5elADt4dSrIhH+6KAIMSofld2X+7kZH0J6/jWUqaexnKn2H+WJgMTyjac4wAQfyrFprcyatu P8uUdJ2/4EopAG24/wCesf8A37P+NGgDV80zycocBR0I9f8AGgBxM46LGfqxH9KNBCb7nvDF+Ep/ +Jo0GL5kg6wN/wABYH+eKAGWxLPcMVK5k6HH91fShgWKBBQBFNlTE/YOAffPH8yKBktAhGZUGWIA 96AIxNv5SOQj3Xb/ADxRYB0SsqfN1JJ/M0APoAKAGTDMR4JHGQPTNOO6HHcTzCTxgjtXWdJIOlAB QAUANkPy0ARjv9KAEoAKACgAyaAHowAwTQBIDnpQAUAFAEQ6ZHp+VADaADB9KAGCMK5YZGeo9aAJ B3+lACUARyxtLJHsADLgls4wMn8+M1nUatqRNqxYVznY/DdveucwH0AQQHM9z7SAf+Oqf60MZPQI KACgCOIffPqxoAkoAKAIrhQ0WCSBuXkHHcUIYjxSlMJcMrerKD/hQA1IpEwWCSOOdxYj8hzigB4l fOGhce4II/nn9KAD7TEDhmKe7qVH5miwCrPE/wB2RT+NFmFmSUCCgCBl8qQEf6tj+R/+vW1OfRms JdGTk4Ga2NRu8c0AJ5g9KAGMxagBVGc/SgBNp9DQAbT6GgAwfSgBKACgB8fU0ASUAML4PFADQdo+ vagAOB0/OgBMn1NABub+8fzoAUMcNz2oATJ9vyoAWIZeRySSTj6AVz1X71jCo9RZwPJc9wCR9azR JU8u8zxenHoY1rf2SNfZoWG3kjaR5ZjIZCGG3K44x2PsKpU0hqCJdnpJKPo2f50ezj2HyRAJJnH2 mb8k/wDiaXs4i5Ikux1/5bE/VRR7KIezRFE0wklXajBX4bdjOQD0wfWspxSdjKSSdibdJ/zzH4N/ 9aoJGmWRf+WDt/usv9SKBkNxJLJbSoLaVWZCASV4OPY00BbHIpCCgAoAY8qRkBmAJ7d6Em9hpN7E UTFYguTgjkEV1rY6FsCoiDCoqj0X5f5YocUwaTFxzkPIo9AwI/UGpdOJPJEcVMoKeaFDDB+TP9aS pJMXs0LsB6SA/XIrQ0DymPTB+hzQAhRl6qR+FADaAFHRvp/WgBKACgAyfWgCdSQoGTmgCMtmXYDy Bkj2oAk6dh+VAC5+n5UAIQD2H5UAQt940AA5U/nQAlABQA5ejfT+tACAc89KAGRXMK7g80atuOQW ANc1RPmMJp3HyyI9tKUdW+Q9DntUpakrcVV3Gus6SQoNv8qAGFDxgUAKgIOaAFcEkcUAJGMFz6tX NU+Iwn8Q+oICgAoAKACgAoAgkSXzS6KjAqBhiR0z7e9aQnyqxcZ2Gq+W2srI3o3etlJPY2Uk9h+0 4ziqGJQAoOCD6UADcMR70AJQAodh0Yj8aAHea56kH6jNADg67TmNfw4oAbmM9mH0OaADah6OfxFA DlhLnhlI+tADZFuVLMoU8524/rQBWtnaW8kZ1KnbgA9qYF2kAdqAGb/Y0AMb7x+tAAvWgBKACgBy jg54FAA3QYGM80ANxntQA0wox5jUn3WgCdV2/WgB5oASgAoAKAGp/F/vGuap8RhP4h1QQVxO752x 4AJGWPXBxWkaV9TRQuI0fmSK8oVtqkKuOOcc/pWsYKJcYWJJY4g3yxIMgH7o9KqyKsiPykP8Io5V 2CyJPs0WOQ34OR/WjlXYOVAYpBgJLhR6j5vzNR7NXuT7NXI4i7BWlLZBHBGBnGD29c0QglqEYpFg MDWhZj3OtxQfaSYXbyWK7V5LHGenagC3bXS3TMFR12hSd4A6jNAFhvvH60AJQAUAFACj7poASgAo AeoO1sdelACYZeaAJg7YHJoAXeT1Cn8KAEZlC8p+RoAjDIBwWH4CgCM9aACgBW+8frQAYA6/lQAh JJyaAFbt9KABTg5oAfvJbgUAPoAU0AJQAUAIzBRknAoAhUS7GVVwCSQzHHU56Vk6d5XM3C7uMEIQ Bd0gUDBAbrVuEWU4pjgAowOlUULQBM/+qRj9DQAi7e1AAzon3mC/U0AMNzCMZlX8DQBKDxjqDQBT uVuVfzLdxwhGw4wWyMds9M96AMqS31kukiC2V2dtxfJCj+E4HWmBNI+so+F+zn5BnaOd3t7UgNC2 8824+07fNHXb0NAEh6UAc/BJrsQRmiaUCI7lbbnfhMDt33e3NAFoyatLZzb4xDMHGwxgH5c89T6Y /OgBkdzrDP5f2cBVIV2YDI/dbuuQDluMgYoAc13qcUkKSQr+8kAyqZ43AY6+hY59ulAGhZPcPao1 0gSbncB060AWlYIo9+aAH5BoAWgAoAa/3TQBHg+lACUAQTXkFvPFDIxDy52DBOcY/wARQAn9o2Zc EToQSenPSgBYr62ncLFOjsc/dOaAJ6AFPX8KAEoAlQYGfWgB1ACnt9KAEoAKAGEgyqOpGSfagCQ9 BQAxlz+VAEVABQBIrZicHtg/rQAiEDOTQBDc2v2j5g3IGAKaAyyCpIIwR2pgaennMBznIOMk0mBb 4wQehpARmNs4Az9KAG7G/un8qAFwQp470ANoAKACgBf4T9aAADv0FAB8vvQA9sFhwegoAeoC9vzo AXPsKAGmRR3AoAiZyTwxx7CgCPap6k/jQB//2Q==