20220815 15464300 1.0 FALSE HPI_3_RiversideCounty 002 Geographic GCS_WGS_1984 Angular Unit: Degree (0.017453) <GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' 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/2.9.0'><WKT>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],AUTHORITY[&quot;EPSG&quot;,4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem> 20240402 09344100 20240402 09344100 Esri ArcGIS 12.9.4.32739 HPI_3_RiversideCounty Healthy Places Index 3.0 for census tracts in Riverside County. Data file obtained from the <a href='https://www.healthyplacesindex.org/' target='_blank' rel='nofollow ugc noopener noreferrer'>Public Health Alliance of Southern California Healthy Places Index website</a>. Excel file containing census tracts was joined to a census tracts layer from the U.S. Census website. Healthy Places Index HPI 3.0 California Healthy Places Index Public Health Alliance of Southern California Healthy Places Index 3.0 for census tracts in Riverside County. Obtained directly from the Public Health Alliance of Southern California. File Geodatabase Feature Class dataset EPSG 6.2(3.0.1) 0 Simple FALSE 0 TRUE FALSE HPI_3_RiversideCounty Feature Class 0 OBJECTID_1 OBJECTID_1 OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. OBJECTID OBJECTID Integer 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. census_tract census_tract_geoid Double 8 0 0 hpi_2_scr hpi_2_score Double 8 0 0 hpi_2_pct hpi_2_pct Double 8 0 0 hpi_2_25 hpi_2_25 String 10 0 0 pop pop Double 8 0 0 pctgqtract pctgqtract Double 8 0 0 LEB LEB Double 8 0 0 LEB_pctile LEB_pctile Double 8 0 0 hpi_3_scr hpi_3_scr Double 8 0 0 hpi_3_pct hpi_3_pct Double 8 0 0 hpi_3_quartile hpi_3_quartile Double 8 0 0 hpi_3_least_healthy_25pct hpi_3_least_healthy_25pct String 10 0 0 hpi_3_economic hpi_3_economic Double 8 0 0 hpi_3_economic_pctile hpi_3_economic_pctile Double 8 0 0 hpi_3_education hpi_3_education Double 8 0 0 hpi_3_education_pctile hpi_3_education_pctile Double 8 0 0 hpi_3_insurance hpi_3_insurance Double 8 0 0 hpi_3_insurance_pctile hpi_3_insurance_pctile Double 8 0 0 hpi_3_clean_enviro hpi_3_clean_enviro Double 8 0 0 hpi_3_clean_enviro_pctile hpi_3_clean_enviro_pctile Double 8 0 0 hpi_3_housing hpi_3_housing Double 8 0 0 hpi_3_housing_pctile hpi_3_housing_pctile Double 8 0 0 hpi_3_neighborhood hpi_3_neighborhood Double 8 0 0 hpi_3_neighborhood_pctile hpi_3_neighborhood_pctile Double 8 0 0 hpi_3_social hpi_3_social Double 8 0 0 hpi_3_social_pctile hpi_3_social_pctile Double 8 0 0 hpi_3_transportation hpi_3_transportation Double 8 0 0 hpi_3_transportation_pctile hpi_3_transportation_pctile Double 8 0 0 hpi_3_abovepoverty hpi_3_abovepoverty Double 8 0 0 hpi_3_abovepoverty_pctile hpi_3_abovepoverty_pctile Double 8 0 0 hpi_3_automobile hpi_3_automobile Double 8 0 0 hpi_3_automobile_pctile hpi_3_automobile_pctile Double 8 0 0 hpi_3_bachelorsed hpi_3_bachelorsed Double 8 0 0 hpi_3_bachelorsed_pctile hpi_3_bachelorsed_pctile Double 8 0 0 hpi_3_censusresponse hpi_3_censusresponse Double 8 0 0 hpi_3_censusresponse_pctile hpi_3_censusresponse_pctile Double 8 0 0 hpi_3_commute hpi_3_commute Double 8 0 0 hpi_3_commute_pctile hpi_3_commute_pctile Double 8 0 0 hpi_3_dieselpm hpi_3_dieselpm Double 8 0 0 hpi_3_dieselpm_pctile hpi_3_dieselpm_pctile Double 8 0 0 hpi_3_employed hpi_3_employed Double 8 0 0 hpi_3_employed_pctile hpi_3_employed_pctile Double 8 0 0 hpi_3_h20contam hpi_3_h20contam Double 8 0 0 hpi_3_h20contam_pctile hpi_3_h20contam_pctile Double 8 0 0 hpi_3_homeownership hpi_3_homeownership Double 8 0 0 hpi_3_homeownership_pctile hpi_3_homeownership_pctile Double 8 0 0 hpi_3_houserepair hpi_3_houserepair Double 8 0 0 hpi_3_houserepair_pctile hpi_3_houserepair_pctile Double 8 0 0 hpi_3_inhighschool hpi_3_inhighschool Double 8 0 0 hpi_3_inhighschool_pctile hpi_3_inhighschool_pctile Double 8 0 0 hpi_3_inpreschool hpi_3_inpreschool Double 8 0 0 hpi_3_inpreschool_pctile hpi_3_inpreschool_pctile Double 8 0 0 hpi_3_insured hpi_3_insured Double 8 0 0 hpi_3_insured_pctile hpi_3_insured_pctile Double 8 0 0 hpi_3_ownsevere hpi_3_ownsevere Double 8 0 0 hpi_3_ownsevere_pctile hpi_3_ownsevere_pctile Double 8 0 0 hpi_3_ozone hpi_3_ozone Double 8 0 0 hpi_3_ozone_pctile hpi_3_ozone_pctile Double 8 0 0 hpi_3_parkaccess hpi_3_parkaccess Double 8 0 0 hpi_3_parkaccess_pctile hpi_3_parkaccess_pctile Double 8 0 0 hpi_3_percapitaincome hpi_3_percapitaincome Double 8 0 0 hpi_3_percapitaincome_pctile hpi_3_percapitaincome_pctile Double 8 0 0 hpi_3_pm25 hpi_3_pm25 Double 8 0 0 hpi_3_pm25_pctile hpi_3_pm25_pctile Double 8 0 0 hpi_3_rentsevere hpi_3_rentsevere Double 8 0 0 hpi_3_rentsevere_pctile hpi_3_rentsevere_pctile Double 8 0 0 hpi_3_retail hpi_3_retail Double 8 0 0 hpi_3_retail_pctile hpi_3_retail_pctile Double 8 0 0 hpi_3_treecanopy hpi_3_treecanopy Double 8 0 0 hpi_3_treecanopy_pctile hpi_3_treecanopy_pctile Double 8 0 0 hpi_3_uncrowded hpi_3_uncrowded Double 8 0 0 hpi_3_uncrowded_pctile hpi_3_uncrowded_pctile Double 8 0 0 hpi_3_voting hpi_3_voting Double 8 0 0 hpi_3_voting_pctile hpi_3_voting_pctile Double 8 0 0 hpi_3_latino_pct hpi_3_latino_pct Double 8 0 0 hpi_3_white_pct hpi_3_white_pct Double 8 0 0 hpi_3_black_pct hpi_3_black_pct Double 8 0 0 hpi_3_asian_pct hpi_3_asian_pct Double 8 0 0 hpi_3_multiple_pct hpi_3_multiple_pct Double 8 0 0 hpi_3_NativeAm_pct hpi_3_NativeAm_pct Double 8 0 0 hpi_3_PacificIsl_pct hpi_3_PacificIsl_pct Double 8 0 0 hpi_3_other_pct hpi_3_other_pct Double 8 0 0 hpi_3_version hpi_3_version Double 8 0 0 notes notes String 255 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. 20240402 /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAopjyxx48yRVz03HFN+0wf89o/++xQBLRUX2mD/AJ7R/wDfQpDd2w63EX/fYoAmoqNZ4nOElRj6 BgakoAKKKKACiiigAooooAKKKKACiioftdt/z8Rf99igCaiohc25GRPGf+Bij7TB/wA9o/8AvoUA S0VEbmAdZ4/++xQLm3JwJ4j/AMDFAEtFFFABRR0phmiHWRP++hQA+imedF/z1T/voUnnxf8APVP+ +hQBJRUfnxf89U/76FL50R6SJ/30KAH0U3zY/wC+v501p4lGWlQD3YUASUVD9qt/+fiL/vsUfarf /n4i/wC+xQBNRUX2mD/ntH/30KPtMH/PaP8A76FAEtFQ/arf/n4i/wC+xR9qt/8An4i/77FAE1FF eKeOfibr+m+Lb/R7EQxQWpVQwUlmyoPJ/HtUykoq7NqNGVaXLE7XxkwGqREnAEA/9CNUdM1BrCKG 4e2Etv5jKGBwSSD2/CvLLXxxrOo6hElxGJt2PMWNCXx3wScCvToPs99p8cK3QjRH8wxShQ+TkYJH Tr715kr+1dT7j1qkPZ0Y0pK/cvXWtxTSxuJYgNxGBGSFBHrxznFNi1ETBpXSNUicADdgvkdh/wDX rI1SJDMwgMajA3Kh4B9elZ88slvbF5HSONSMybd/J/Koc25XlqTChCUVyaG7eeKIbW/S1tcrd5yr YDAfzrTuPE0trpbX8t6yxrwEZVDMcA8fL7iuBsNVstCv5r3UrcywXC/JKo3yAeuB0B/StCLxr4d1 CxaGaK4vN77FjdNp5Cgnr228V00vh0ZnXo2lFKLe133NKP4medIY43nRiPkaVE2598CtAeKdWZQf Pj6doxXldxYzxvKwgdVRypBHK/Udq6Tw6ZXsAHc7Q5GCRkD2BNc0qtZuyZ6lTBYOnTVVK6Z6Cvjq 0srGNtRScy9GaOPIqrN8VvDsCF2F2QOuIc1yqahaOfKeZN+dhVvWsrXJNOWCSJUj+0jGMDpVRxtV aSRgsrw89r6+f/AO0Hxq8IEZ866HsYDT0+M3hB3Ci4uBk4yYTXjEunWk+d0C59QMGs270FPLLWrE OP4WOQa3WMbNHklNd/6+R9FW/wASNEu5xFAly7H0j/8Ar1fPjCw7RTn/AICP8a8I8C6tBEbm11B7 eCWBN0bzNtLdiuTxmurh161vW8q28xncHacDH1zms54qvF6JWMHluHu0r6f12O6u/iVotrM0Esd0 HA5wgP8AWn2lxFc6ZFcQkMrxgqcd/wD9deParD5WpzRqzyYP3m5Jr13Soo00azhQ4Cwp0PI4FZTr yqW5gxOCo4eEZU27y7nRWVkltbBW+dz8zMwGcmrHlR/3F/KobG48+2Qsw8zkMM9xxVmvRW2h4j31 GCKMfwL+VRXiJ9jm+Vc7D29qsVV1CUR2rAjJf5R0/wA4poRojpRQOlFbGYjKHUqwyCMEVkmSzsrZ 5LgxRxIxUOw7D1rTnk8qB39BxVKaAf2ZLE6hsxkEEcE4qJlR31KNvruh3dz5FvcwSvjJ2DIH1NaE 8UX2WUhE+4cED2rhfC+galodlOLq3iBkO8ESKflx9a3FluI4yp82MMP4CGUKe/UgVzKpPeUTqrU6 cZuNOV0dBFDF5Kfu1+6O1O8iI/8ALJPyqlY3Fz5O+ZQ8OcI6DBxjqRV9HWRdyMCPUVqndXMGraDP s8P/ADyT/vmlEESnIjQH6VJRTEN2J/cX8qNif3F/KnUUAM8qP+4v5UeVH/cX8qfRQA3Yn9xfyo2J /cX8qdRQB5j4k+MyeH/EV7pP9jNMbaTZ5nnY3cA9Me9eR6/qp8ReKL3VJLZrdrx1Pkk52gADr+Ga 39K1rTr3xDdeIb7Tor+4mmD7XJVUIGOn+Nd7P4q0DVliub/RoYmjYGOU4LBh6YGaxdRSdmz2lSeH Scabvazd/wBDzye48JaM2NP1C6nO3cMxEDeOq8gcZq94N1ie+uL68uEPnGZGx/CBjjA/z1rf1fQd D1jTLvUdMlhTbIJJnK7mRjzt5xyaxFm0/T4/Ntp5Z5mGCpTYBwOvr/8AWrCouW8mb0X7eHJFNvbX /hjtn1G2uGdpGERYDhgMHHXJ9KgS5mudUFvFYG6t3GWZQqqB25xXB3WoyXaASKNwOcgnmr2i+JLr QxIIVEgkxkOTgVi6t9bmn9lShF2V2+g34p2f9kz288DYW6BVowOFIA6VyPhrV7rTdUgvLeKCe6QZ RJslWHI6etdZ4i1yTxJHEt1EiCMHBTrzWPovge71u9lFjeeX5cfLSE5GfpWsKluupXsHGh++Wi/q x6VpWk6hqWvjVn0u4hiuo2NzFKFChivVcnJGcGtSfSTbXEm+3RPkysW3Izj1zj9aPCXhyLRryDUL vXbm6uvs/kmCaTKp0zgfhXQaze2d1aSWonXcGQsMdif1rqtFe8eDVqSnLlvdaI861630yxcPLa7H ZyCQc8/QHiqER0KZXlYIFH98kH8queMLiS38lFxtfOz5BgDJrjD2zXn1mm2fQ5dRlKlFt/j/AF+Z 082j2WoWwl05kUg++D7H0rnLiCW2naKVdrqeRW/4WnA8+3PU/OP5Vq6jpVvqIBf5ZFGAw/rXO5Wd md0ZulNp6nBtFGzbmjQn1IrQ0d4YNRhMkcjIDwkQGSaS8024s3YMhZB/Go4rR8OWUjXguXjIjVTt Y9zV8zW5tVdOVNtdTR0tpE8Ry3ZsnELKdonTiu7t7PVp9k8VqkKMgK7Sp3A89M8Vz4JVgw6g5HFd 1oN1dXlis1wYdmNqeX144OfSujCuNRu581mUXBJor6fHLBJFHcCPzvOJboGxt9u1btJgE5wMiomM r3HlRsq4TdkjOea9FLojxm+rJqp3alpkMS7pgp2ghcfjn+lTeXebtv7rGfv+30pJbKSddsjxkeuz kfSqUWJtF0kKpJIAHUmq1rqVne7xb3COUOGHQj86oeJ5Xi0SQoxUsyqSPQ1xqaRfy2guUtWMJXcH DDp+dY1q8oTUYxudWHwsKlNzlPl6I9Bu2D+TECDucE49Bz/PA/GiRRJG6ZA3AivObW8a1YcBk7gn n863rS4trvmBWaQDJVQdy1isYpvRF1MDOj8T0NsWkxZjJHbuCoX5gewoitZ4LZoVWAA7gDzwD0H4 VSj1aWJ3gLeZKq52P8rj0PuK07eOK72SNOs6L1VkHB9xXTCSnsckouO5BcXr2mIo41k2IpwM85yO w9qoPPJPKZA4h+b7qHnj1/GukjSOMbY1VR6KMUx7W3k3FoYyW6kqM050pSXuuwozS3VzJj1GePiR FlX1HB/w/lV2C9guDtVsP3RuDUQ0VRx9okwBwABWJrlzBoXkfb5UEcz7Uk5+U+p7/lWH76CvLVG6 UKjtDc6iiqOleW1oJYbwXUcnIcNuH4Gr1bGLVgooopiCiiigDwj4n/DybQJZNb0FZE0+Q5ngiJAh PqB/d/lXnMeryvZC3kZmcHhi2Mj0Jr7BlijnieKVFeNwVZWGQQexr5w+Jnw3l8L3b6lpqNJpMrZx 1MBPY+3oazq07e8j2cBjFUXsau/RnMaXrt3pd2IreXhyBJvQENyevfoa7fVVtL+C3msXilmkO0+W fvcV5ZGXciPewU9s1seHL42erReUjEZyQzccc5xiuSpDm1PWhF05XjudeNF1AKW+zt+Yqv8AYbvz hEYJPMIzjFdvaXkN7FvhcN6j0qfAznHPrXC520aOhV5p3OOj8PX7Ju2qnsW5rqbD4e6+tuXh1CGE TKCdrnkdRyKs12Wh6xHNaJbCGTdAiqehJwOtdOF5ZtqR5uY4qtCKlG1uuiKuhWeqWiwxX8qTXEO7 5iSCwxj8etJ4osppokvGiUCP5Xwc8E8frXQOLe7UgqrOAcBl5FUbm7NxpjxeVu3IUYv03dMYHJr0 HSTg4I8CNeSqqozgL7RUu7WFrlHigkJ2SooJJFcqnh27a8aLpEDxJjqPpXo0+mukRt3lZmgztYJ1 zyB196mh0uO0PnNL5jKPlXb3rzZwafKj26GYOEW779Ohylr4cGjOrSuXklTPpgelWZEiCn7ikfhX bXXh1r/yna7ClRziPsfxrzTx7ocehavD9nmdkuI95DNkgg4P4U6mHnH3nsXhMVHEzVOT953Nj5WX y2UYI6diK0NI0m3ksHjX5CjnaR2B7VyGgalLcyJaSAsUBIfOSfb9a63S5hDqaozFMghl9aximnbo zTFxcYtN2aLNnpQbUIluWU2pyTIrcH2z2rtbSC2tYRDbKqoOcKc1yYuYbeKNCwEoVQQD146EetW4 mLzCS3ZoVUffRR8x/EdK7aclR0aPFrSnX1bOjmZwY0jIDSNtye3BP9Klt7WO3GVA3kYZu5rBWa6j ZWFxu2sXHmLuOcY/Kt+0lae1ilbG5lycV20asZ/CcVSEo7k1FFFbmQyWKOZCksaSIf4XUEUqxxpG I1RVQDAUDAx9KdRQB85fGktZ+NkjtiYIzaodsfyjOTzgVz/gbWryy8QoiTPmZSu4sSVwCeK6L46A jxvAfWzT+bV5rBIYZ45FYqVYHIPNcFX42fU4WCnhYproet6zY3r77+IERRIFdwdpGatafrOrwaXb w/ZI3hMZ8uUxlyRk1g6NrUU+pW1zPPvt1fD5XIx7jvXoU93appdvc2SQvHLvIJixxz27VzRsnqyc S5xgoOCd9n+h59Z6pqOlalDeAzLJG29Um3AH8D2r2jw7rt3qWh2upXIVvN3B0iT7uM47+1eOa9Zw Wl5EsNxLMrx7iZOCDk8D2qay8W6z4O01buFVmsJHCmCQ/Kc9SPQ8VrQquErX0Kx2GjiaEZxS5vuv 5H0Ajh0Vx0YZFeP/ABQ1a2v9Ut7e2ufNFupEir91Wz6+tdl4L8daH4kso4ba5Md2B81vMQGz7eo+ lYXxM8PaXZ6amp21ssNy8wVynAbIPOOma6sTeVJ8p5eWWo4yKqp32XqzgNH1/UtDn8yxuGRSctGe Vb6ivXPC3jaz8QIsEuIL4DmMnhvda8RIwaWOR4pFkjYo6nIZTgg151OtKm7dD6XGZdRxUeZaS7/5 n0tRXG/D/wATza5YS2t64a7tsfN3dD0J9/8A61dlXpRkpK6Pjq9GVGo6c90FFFFUZE9Q3dpb31rJ a3USywSLtdHGQRU1FbGZ5trnwe8MS2VzPZxz2cqxsw8p8jgZ6HNfO0M8lncF4iAwyuSM19nTx+db yRZxvUrn6ivB7/4D6z50klpqllKGYkBwyH+RrnrU7/Cj2cuxqjzKtL0ucZoHjOfTLoLcxJJbuQJC oww969JsNZsNThEtrcKyn14P6155r3wz8S+HjCbm1SWKVtolgbcqn344rasPDF/Dp8aqqqVGNpbB JrzcRSit9Ge3TnTq+9GWn3nbgg9Dmug8JmEahLvOJSmI+eCM8j+Vcb4QlkeabTbu2ZkXJ848GM/X 0rprZDpUwvHkRmQ/u1TJ3n6kelRRi6c1LocOMmpRlRe/TzO1uUT5ZWd0ZeAU6nPasueaxs7l5bkv t8vIWQck57Cs2PxK1zdxrdLHDbhw25QWK4/zj8azNfvrS9gvdTjvQFhUoqhecjpwfc13yxEeS8Hc 8mGEmqijVTSJrrWs34ntoI44l/gcZ3+5rQj8Q6E9n511AbcgZbCE49wRXEaFqFndmKO4uY1m2He0 h2jP1rG1i/vIbiWwaSJol4DR8hl7HNc0a1Rat3uem8DTqT9la1l957Bpeu2NzatNbGR4GkbYwjOM VwfxCt73Wdet/sVrJNEkAUMqHqScg1z+j+Lb/RrP7JEsMkSklQ/bPWt7SvHrz3ypqCRRQFTzGrMc 9uKc60px5WFLBVcJV9tTV0r2LHgLw/dabr7S6lZ7Q0RETEggNkH+Qre1G3iOsPcJLlvNDAqc7duO MDt71Tv9WgvoIjavKMMSSUKcYI71DY3/ANhK4iV9rFgTyefr1op14RShJGGIpYivJ1+r0sXtRFnP eyzzGNwzDMgDIBx0z+HpVCDVJY7zERzCcKFxkDgdzzVaSZ7td0rMQxLbc8DJz0pqqFGAMCsq2Ii5 e6jWhgZcvvs6zznUfvYj9U+Yf41t6Xe2z2UEazIX24255rjrDVmj2w3HKdA/cfWte2Aa1T6VpQrq nqkcWIw8r8sjq6KwRql1bRkhPtAHRTw351bGsx4X9xKePmxjA/PBNejGvTkr3PPlSmnaxp0UyOVJ o1kjYMrDIIp9bGZ87/HY/wDFa2v/AF5r/wChNXl1eofHUY8a2x9bNf8A0Jq8xRGkdUUZZiAB71wV fjZ9ZgP92h6Gzod6wcWmxdvLbu9dPHeTx27QpIQrcYz2rB0rSjakTzZEvI2ggjFbEYzIoPciuOo1 zaHqU4XpvmXmiWH9/Mqy+Y699vJArfkuo102BbaETRxHbIJk+77n3rWs9OtbNcwxgMRyx5NYPiXX hpl3DZ28SebId0jHnOcADGD6Gop2nKxx4ipzWshNSmtvOW1QxRRSKCbiBcOnOeCPpVu91YahpsOn 3mtXFzFCdyNLGCwOMckDJrlb5Xvrxbl5WRlTZiMBRS22nSXsgtDcyAycK+OVPY1qpJLlUiXhmkpy jZrzO+vNV0nU9DuLWztV+27AFVI+Wx1IOK4yTT7qKISvbSrH/eK8V0PhfRhoUchvX+0XIfKTqxGx TweO9dpbXFlJ5tucyK6SDPlHnnIyPpVRjCejZxfWp4RtU4to4fwfPdaL4sst8bKJz5TD+8rV7jXD f2HCVt5IpSsi7SpIzg+vtXYwSSKFhuMebj7w6P8AT39q3wt+Vo8/Mq8a9RTS1tqWKKKK6jzieiii tjMKKKKAGSRJNG0ciK6MMFWGQa4vxHokGmx/aoZQkbNjymPOfauznnjtoHmmcJGgyzHtXm+ras+s aiZORDGCI19P/r1x4101T95XfQ9DLo1XV9x2XUh02e0imKy5VpH4Yttx9a6m7jmmtfs05SRHGUkz nHuDXIFVLBiBkd6trqd4liLRJVES/d+UZH0NefTrxUeV6HpYjBzlPngTS6POLgxRsjArkFjj/Pb8 64nW/C99YXW6OeS4DZdo8525P611b67MZYbZplS4GWU8biOn5VgeJNWvbe+niXbtc/JMDnIpR91X ibUHVlVUZ6mDplgb67a3dmjIXPTmqPihv+EemgjTM3mqWyeMVHc6n9iHnyXDhmOMgncaggvxq6vJ KpcRttUyfMf1qo3Wr2PTlFynZW/pehJbTm5to5ioUuM4BzViGZ4JVljOHU5BpoAVQFACjoAK2tF0 231G3n80neCACOoqJWu2b8/JTSkrlKbV76dNr3DY/wBniuo0bbNpkTnJY9STnmiHQrCKMKYd5/vM ea0I40ijCRqFUdAKxlPSyOao4StyxsMUNFtXIK9KlpsgLJgDJ7AVft9MuZpFDxtGhPLHrSs5anNK pGnuyKwRJL+FHUMpJyCOOhrqVVUUKoAUcADtWZFpAt7yGaOQlVzuDdenatStoqyseZiKiqT5kFFF FMwFjd4X3xMVb9D9RW1bXqTWplchSn+sH92sSkKgnv789a6KOIdPR6oxq0VPVblO90vT9UuGub6y hnlJ4aVASB2FQDw1ogII0q0BHQ+UK1KKxlOTdzaPuqyOZ8SeH4JdElXT9Pj+0kjb5agHrzXmLRPb XflTKUeN8OD2IPNe6V594h8H3Lamby0DT/aJi7oABsBOaW56mAxap3p1Ho/zLFpdwXkO+B9yg4Jx jmuQ12IrqshZw5Y5+ntXoM2iLptpvjKAbh8iJjJPFdNpnhqxWyU31lbTzt8xZ4wSB2HNOjQcpO2w pZjTo2mlfyPBqvJts4Le7jkBm3E7SQcV7v8A8I7ov/QKs/8Avyv+FeU6/wCDtYfXbt7LS3+zNIfL 8vAGK1nh5QV1qb0c0pYqXLP3UtdXv5HP3mqXN4yuzlCBg7TgGtGw0DxLf2kd5Zw3EkEmdrrLjODg 9/Y09fBGvSW7uLJxLGwBiJGSD3FeoeDobjS/C9pZ3ltKk8ZfK7c4yxI/nVUqLlK0lYzxmOp0aS9i 4yd7dxsGnTRMpEcuFiXAdM/Njnn8P1roUjL2yLKSWwMk8HNJ9qH/ADyl/wC+Ka16iDLRygZA+53J wK7z5i4+Byd0bn50OPqOxqaqcrpLyI51cDAZVwRTo7xfLHnK6P3BU/nQI0aKKK2Mwo6UVg+KtQls 7BIYQQZyVZ/QDt9T/jUTmoRcn0LpU3UmoLqYviXWft0v2SFs28Z+Y/3z/hWBRRXz9WrKrLmkfWUK EaMFCIVR1XVrXR7Jrm6kCgD5V7sfQVeryHxtqh1LxBJGjEw2/wC6Qdie5/OijT55am3kZ+q67eap qhvmkaN1P7oIcbB7VqDxfdzW8FtfBXUHLSAfNjsa5pYmbJ4AHdjiiUgucdBwK9DlVgsm0dy9rbXd ms5CTAHkMmcelNSNIlCxqqD0UYFXvAN5c3thcWs0EclvGQA56n2PrV/VNGkS4DWkLGNxwg7Gudys +VjjNKWqMTOBitnQNQt7IzCdyu/GDj61y17qFzZTCOazMbA4cOcYH5U8alamMyGUKP8AaGM/SnOn K3kawnSqKz0PSINTtLmURQzBnPQVbrB8MW9s+nR30ZDtLnDEfdHpW9XHNJOyMna+mwqsUdXXGVII zXU2l2l5AJE4PRlPUGuVq/o8wivwpJw67ePWqpvocWLpKUefqjo6KKK2PMCmh1YkBgSO2algtprp pNkiIEIGGQnPH1q2NKQxQq0rBkByUAG7Jz3zXRDDykrmMqyTsUaCQBknArTXTLQDmLf7uSacun2i sGFumR7Vf1R9yfrC7GP5qZUA7i3QLzViwt4LqWcyx79uMZzxWssMauXWNQx6kDmnAAdB1rWnh1B3 uZzrOSsZV7ZRwGKS3gxgkNsGaYlpdSgFY1Qf7ZwfyrZoqpUYSldkqrKKsjLGks7J58iOgYNtCdx+ NalFFaRioqyJlJy3CiiiqJM6OGTT4Nw8pgNodtp3N2yTmrqXEUjbUkUn0qTrVa4xHLBJsJVWOdq5 7UAWaiuIzLA6L97qv1HIpv2uP0k/74NPjnSUkKTkc4IxQAscgkTI4PcHsafVZz5Fy0pVjGygEqM4 NTo6yIrqcqwBB9RQBZooorYzCqeo6ZBqcKxXBfYrbsK2MmrlFJpNWY02ndGD/wAIjpn/AE2/7+Gj /hEdM/6bf9/DW9RWfsKX8q+42+s1v5395yuq+EYv7Kuv7NVmvTGRCJJSF3ds186674Q8RaHNI19p FxGCeZ1G9T75GRX1pSMqupVgCD1BFJ0IfZVjehmFWk/e971Pilmf7rFuOxrovCXho67dGWV1W2hc eYvOW9hX0fq/w/8ADOtNvutKhEvXfGNh/Sua8S+EG0HQp7nSZkiihwzII8MR04I+tc1WjUjG8T1q OZ0qrUH7rZj6dpdnpUTxWcIiR23ED1qxJh1ZVcBh39DXK/8ACQXohEaLyFA3Ec1nST3c0rylpNzn 5tua8zkd7tnqxotrXQh1+RtSQpL5avGxKvnr+NcuunteTBMqhQY4OQf85rori1W4jMc0ZI9xVW00 02szSNIW7KAMce9dcKiUXcUsO1OPJsdt4XltLbSILJJh5sY+YHjJrfrzgZByMirKajeR423Mgx/t VySjzO5s8K18LO+q7pVs1xeBg21YsMff2rzR9RvJG3NcSZ+ta+i+LbzTLkGU+dC2A6kc4HoaIwSd zDEYWs6bUT1gkAZPSpobSe45A8pP7zryfoK5qw8aaJd3tvG0zRguCfNTA/P613iOkiB0ZWU8gg5B ruoUYyXNI+ZxHtKT5WrEdtbrbRbFOT1LHuamoortSscYUUUUxBRRRQAUUUUAFFFFABRRRQAUUUZo AKguI3YpLG4V489RkEHt+gqemv8A6tvoaAEifzYUfGNyg4+tQ2BP2RFPKp8qnGMgcDin2v8Ax6Q/ 7i/yoa1iZicEE8nDEUAXaKKK2MwooooAKKKKACiiigApCARggEehpaKAGeTF/wA80/75FHlRjpGv 5U+igCNreBxh4Y2HuoNRf2fZf8+dv/36X/CrNFAXKcukabOmyWwtnXrgxL/hUA8O6KvTSrMf9sV/ wrTopWRSnJbMzT4e0YjB0uz/AO/K/wCFN/4RzRP+gTZ/9+V/wrUoo5V2H7Sfcyj4Z0MnJ0mz/wC/ Qq1HpllDGscVtGiLwFUYAq3RQkkJzlLdlf7Da/8APFaPsNr/AM8VqxRTJK/2G1/54rR9htf+eK1Y ooAr/YbX/nitH2G1/wCeK1YooAr/AGG2/wCeK0fYbX/nitWKKAK/2G1/54rR9htf+eK1YooAr/Yb X/ngn5UfYbX/AJ4J+VWKKAK/2G1/594/++aPsNr/AM+8X/fIqxRQBX+w2v8Az7xj6Lij7Dbf88sf QkVYooArCwtgABGQB0G4/wCNL9ht/wC4f++j/jViiiwBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB//Z