U.S. Block Groups vector digital data Esri, U.S. Census Bureau 20250606 2025 ArcGIS Business Analyst Esri USA 2025 Redlands, California, USA Esri Data\Demographic Data -19942765.3261 -7452796.262700001 11528300.5678 2144424.2793000005 Access granted to Licensee only. The data are provided by multiple, third party data vendors under license to Esri for inclusion with ArcGIS Business Analyst for use with Esri® software. Each data vendor has its own data licensing policies and may grant varying redistribution rights to end users. Please consult the redistribution rights below for this dataset provided with ArcGIS Business Analyst. As used herein, "Geodata" shall mean any digital dataset consisting of geographic data coordinates and associated attributes. The redistribution rights for this dataset: Redistribution rights are granted by the data vendor for hardcopy renditions or static, electronic map images (for example, .gif, .jpeg) that are plotted, printed, or publicly displayed with proper metadata and source/copyright attribution to the respective data vendor/vendors. This dataset is licensed and requires a license file for access. The terms and conditions below apply to all the datasets provided with ArcGIS Business Analyst. Proprietary Rights and Copyright: Licensee acknowledges that the Data and Related Materials contain proprietary and confidential property of Esri and its licensor(s). The Data and Related Materials are owned by Esri and its licensor(s) and are protected by United States copyright laws and applicable international copyright treaties and/or conventions. Limited Warranty and Disclaimer: Esri warrants that the media upon which the Data and Related Materials are provided will be free from defects in materials and workmanship under normal use and service for a period of ninety (90) days from the date of receipt. THE DATA AND RELATED MATERIALS ARE EXCLUDED FROM THE LIMITED WARRANTY, AND THE LICENSEE EXPRESSLY ACKNOWLEDGES THAT THE DATA CONTAINS SOME NONCONFORMITIES, DEFECTS, OR ERRORS. Esri DOES NOT WARRANT THAT THE DATA WILL MEET LICENSEE'S NEEDS OR EXPECTATIONS; THAT THE USE OF THE DATA WILL BE UNINTERRUPTED; OR THAT ALL NONCONFORMITIES, DEFECTS, OR ERRORS CAN OR WILL BE CORRECTED. Esri IS NOT INVITING RELIANCE ON THIS DATA, AND THE LICENSEE SHOULD ALWAYS VERIFY ACTUAL DATA. EXCEPT FOR THE LIMITED WARRANTY SET FORTH ABOVE, THE DATA AND RELATED MATERIALS CONTAINED THEREIN ARE PROVIDED "AS-IS," WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. HIGH RISK ACTIVITIES: (A) THE DATA AND RELATED MATERIALS ARE NOT FAULT-TOLERANT AND ARE NOT DESIGNED, MANUFACTURED, OR INTENDED FOR USE OR RESALE FOR INSURANCE UNDERWRITING OR WITH CRITICAL HEALTH AND SAFETY OR ONLINE CONTROL EQUIPMENT IN HAZARDOUS ENVIRONMENTS THAT REQUIRE FAIL-SAFE PERFORMANCE, INCLUDING, BUT NOT LIMITED TO THE OPERATION OF NUCLEAR FACILITIES, NAVIGATION OR GUIDANCE (I.E., AIRCRAFT, NAUTICAL VEHICLE, ETC.), OR COMMUNICATION SYSTEMS, AIR TRAFFIC CONTROL, EMERGENCY RESPONSE, TERRORISM PREVENTION OR RESPONSE, LIFE SUPPORT, OR WEAPONS SYSTEMS ("HIGH RISK ACTIVITIES"). Esri SPECIFICALLY DISCLAIMS ANY EXPRESS OR IMPLIED WARRANTY OF FITNESS FOR HIGH RISK ACTIVITIES. (B) TO THE EXTENT PERMITTED BY LAW, LICENSEE AGREES TO INDEMNIFY, DEFEND, AND HOLD Esri, ITS OFFICERS, DIRECTORS, EMPLOYEES, AGENTS, SUBCONTRACTORS, LICENSORS, SUCCESSORS, AND ASSIGNS HARMLESS FROM AND AGAINST ANY AND ALL LIABILITY, LOSSES, CLAIMS, EXPENSES (INCLUDING ATTORNEYS' FEES), DEMANDS, OR DAMAGES OF ANY KIND, INCLUDING DIRECT, INDIRECT, SPECIAL, PUNITIVE, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, ARISING OUT OF OR IN ANY WAY CONNECTED WITH LICENSEE'S USE OR PERMITTING THE USE BY OTHERS OF THE DATA, AND VENDOR'S HARDWARE OR SOFTWARE FOR HIGH RISK ACTIVITIES. DELIVERY OF THE DATA, AND VENDOR'S HARDWARE OR SOFTWARE DOES NOT CONSTITUTE A WAIVER OF THE RIGHTS AND OBLIGATIONS SET FORTH IN THIS ARTICLE. Exclusive Remedy and Limitation of Liability: The entire liability of Esri or its licensor(s) and Licensee's exclusive remedy shall be to terminate the Agreement upon Licensee returning the Data and Related Materials to Esri with a copy of Licensee's invoice/receipt and Esri returning the license fees paid to Licensee. IN NO EVENT SHALL Esri AND/OR ITS LICENSOR(S) BE LIABLE FOR COSTS OF PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOST PROFITS, LOST SALES, OR BUSINESS EXPENDITURES, INVESTMENTS, OR COMMITMENTS IN CONNECTION WITH ANY BUSINESS; LOSS OF ANY GOODWILL; OR FOR ANY INDIRECT, SPECIAL, INCIDENTAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES ARISING OUT OF THIS AGREEMENT OR USE OF THE DATA AND RELATED MATERIALS, HOWEVER CAUSED, ON ANY THEORY OF LIABILITY, AND WHETHER OR NOT Esri OR ITS LICENSOR(S) HAVE BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. THESE LIMITATIONS SHALL APPLY NOTWITHSTANDING ANY FAILURE OF ESSENTIAL PURPOSE OF ANY EXCLUSIVE REMEDY. Third Party Beneficiary: Esri's licensor(s) has (have) authorized Esri to (sub)distribute and (sub)license its (their) data as incorporated into the Data and Related Materials. As an intended third party beneficiary to this Agreement, the Esri licensor(s) is (are) entitled to directly enforce, in its own name, the rights and obligations undertaken by the Licensee and to seek all legal and equitable remedies as are afforded to Esri. In the event that the data vendor(s) has (have) granted the end user permission to redistribute the Geodata, please use proper proprietary or copyright attribution for the various data vendor(s), and provide the associated metadata file(s) with the Geodata. In compliance with FGDC metadata standards, Esri has attempted to practice proper metadata methodologies by providing any data source information, descriptions, and file names to assist in this effort. U.S. Block Groups provide detailed boundaries that are consistent with the tract and county datasets and are effective at the national level. This dataset provides four feature classes. The base feature class is called BlockGroups_bg. The centroids feature class is called BlockGroups_bg_cent. The BlockGroups_bg and BlockGroups_bg_cent feature classes contain all the attributes. There are two generalized boundary feature classes and called: BlockGroups_bg_gen2 and BlockGroups_bg_gen3. Use the generalized boundaries when creating study areas. en ArcGIS Business Analyst 2025 base demographic dataset contains updated U.S. demographic data including current-year and five-year forecasts for more than two thousand demographic and socioeconomic characteristics. This dataset includes tables covering key characteristics of the population, households, housing, age, race, income, and much more. This layer includes variables from the Esri Updated 2025/2030 Demographics, Census 2010 Demographics, and Tapestry Segmentation databases. Largest scale when displaying the data (non-generalized feature classes): 1:4,514. File Geodatabase Feature Class Data Team Esri mailing and physical address
380 New York Street
Redlands California 92373-8100 USA 909-793-2853 909-793-5953 info@esri.com 7:00 a.m.–5:30 p.m. Pacific time, Monday–Friday In the United States – Please direct all inquiries regarding software/data pricing and consulting services to your local Esri Regional Office. For support, you may contact Esri Support Center by telephone (voice) between 5:00 a.m. and 5:00 p.m. Pacific time, Monday through Friday, by dialing 888-377-4575; facsimile (fax) available at 909-792-0960; electronic mail (e-mail) support@esri.com; or visit https://support.esri.com; Esri holidays excluded. Outside the United States – Please direct all inquiries regarding software/data pricing, sales, support, and consulting services to your local Esri International Distributor. This information can be found at https://www.esri.com/about-esri/contact#outsideUS. For other questions or comments, you may contact Esri headquarters by e-mail, telephone, or fax or write to us. ArcGIS Pro Version 3.5 Esri 20250606 2025 Esri Business Analyst Demographics Variable List Redlands, CA Esri https://links.esri.com/ba-data/documentation/2025/esri/var-list Esri 20250606 2025 Esri Business Analyst Variable and Report List Redlands, CA Esri https://links.esri.com/ba-data/documentation/2025/var-report-list Esri 20250606 2025 Census Methodology Statement Redlands, CA Esri https://links.esri.com/ba-data/documentation/2025/esri/methodology area polygon demographics housing population households boundaries group quarters tapestry race census United States 2010 2020 2025 2030 20250606 publication date Complete Annually File Geodatabase Feature Class Vector Simple FALSE 0 TRUE FALSE coordinate pair 0.0001 0.0001 meter D WGS 1984 WGS 1984 6378137.0 298.257223563 BlockGroups_bg Feature Class 0 OBJECTID OBJECTID OID 4 0 0 OBJECTID Esri, U.S. Census Bureau Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Shape Esri, U.S. Census Bureau Coordinates defining the features. ID Geography ID String 12 0 0 Geography ID Esri, U.S. Census Bureau TOTPOP_CY 2025 Total Population Integer 4 0 0 2025 Total Population (Esri) Esri, U.S. Census Bureau TOTHH_CY 2025 Total Households Integer 4 0 0 2025 Total Households (Esri) Esri, U.S. Census Bureau TOTHU_CY 2025 Total Housing Units Integer 4 0 0 2025 Total Housing Units (Esri) Esri, U.S. Census Bureau OWNER_CY 2025 Owner Occupied HUs Integer 4 0 0 2025 Owner Occupied Housing Units (Esri) Esri, U.S. Census Bureau RENTER_CY 2025 Renter Occupied HUs Integer 4 0 0 2025 Renter Occupied Housing Units (Esri) Esri, U.S. Census Bureau VACANT_CY 2025 Vacant Housing Units Integer 4 0 0 2025 Vacant Housing Units (Esri) Esri, U.S. Census Bureau HHGRW20CY 2020-2025 Growth Rate: Households Double 8 0 0 2020-2025 Households: Compound Annual Growth Rate (Esri) Esri, U.S. Census Bureau MEDHINC_CY 2025 Median Household Income Double 8 0 0 2025 Median Household Income (Esri) Esri, U.S. Census Bureau AVGHINC_CY 2025 Average Household Income Double 8 0 0 2025 Average Household Income (Esri) Esri, U.S. Census Bureau MEDVAL_CY 2025 Median Home Value Double 8 0 0 2025 Median Home Value (Esri) Esri, U.S. Census Bureau AVGVAL_CY 2025 Average Home Value Double 8 0 0 2025 Average Home Value (Esri) Esri, U.S. Census Bureau MEDCRNT_CY 2025 Median Monthly Contract Rent Integer 4 0 0 2025 Median Monthly Contract Rent (Esri) Esri, U.S. Census Bureau AVGCRNT_CY 2025 Average Monthly Contract Rent Integer 4 0 0 2025 Average Monthly Contract Rent (Esri) Esri, U.S. Census Bureau Shape_Length Shape_Length Double 8 0 0 Shape_Length Esri, U.S. Census Bureau Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Shape_Area Esri, U.S. Census Bureau Positive real numbers that are automatically generated. 20250606 FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time en https://pro.arcgis.com/en/pro-app/latest/help/metadata/view-and-edit-metadata.htm Esri Metadata 4514 7-Zip File Download ArcGIS Business Analyst Esri USA 2025 Attribute and geospatial data U.S. Block Groups Esri, U.S. Census Bureau 20250606 2025 vector digital data U.S. Block Groups 2025 Redlands, California, USA Esri The Esri Base Demographic dataset is updated to 2025 vintage and Esri's US 2025 boundaries. An additional year was added to the Times Series variables. Includes new, more detailed 2025 and 2030 income, home value and contract rent variables. This dataset includes Esri's new 2025 ArcGIS Tapestry dataset that provides detailed summaries of communities across the United States. Completely rebuilt based on the latest Census and survey data, it now includes 60 segments, 12 LifeMode Groups and 3 LifeStyle Groups. https://www.esri.com 20250606 publication date Automatically assembled by the data processing pipeline from the GeoEnrichment data for Online. ArcGIS Pro withheld 20250606 This file geodatabase feature class is extracted automatically from the GeoEnrichment dataset for Online. This data is verified against the Online version of the GeoEnrichment dataset. Esri mailing and physical address
380 New York Street
Redlands California 92373-8100 USA 800-447-9778 In the United States, contact the Esri Telebusiness staff at 800-447-9778 for more information about our software and data. Outside the United States, please direct all inquiries to your local Esri International Distributor. This information can be found at https://www.esri.com/about-esri/contact#outsideUS. Offline Data See use constraints. FGDB The FGDB file contains the geospatial and attribute data. ArcGIS® software Software purchase price. This dataset is available only as part of ArcGIS Business Analyst. It is also shipped to customers current on maintenance. United States Customers - Please visit https://store.esri.com/esri or contact our Telebusiness staff at 1-800-447-9778 for ordering assistance. Outside of the United States Customers - Please contact your Esri International Distributor for ordering assistance. This information can be found at https://www.esri.com/about-esri/contact#outsideUS. To use this data requires software that supports FGDB files. If this data is licensed, it requires a license and ArcGIS Business Analyst. BlockGroups_bg -19942765.3261 -7452796.262700001 2144424.2793000005 11528300.5678 1 002 Projected GCS_WGS_1984 Linear Unit: Meter (1.0) 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/10.8 '><WKT>PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0]];-20037700 -30241100 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision</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> 20260423 20260423 ItemDescription 1.0 577791 4514 09103300 09103300 20250606 ArcGIS Metadata 1.0 Esri 800-447-9778 380 New York Street Redlands California 92373-8100 US In the United States, contact the Esri Telebusiness staff at 800-447-9778 for more information about our software and data. Outside the United States, please direct all inquiries to your local Esri International Distributor. This information can be found at https://www.esri.com/about-esri/contact#outsideUS. Software purchase price. This dataset is available only as part of ArcGIS Business Analyst. It is also shipped to customers current on maintenance. United States Customers - Please visit https://store.esri.com/esri or contact our Telebusiness staff at 1-800-447-9778 for ordering assistance. Outside of the United States Customers - Please contact your Esri International Distributor for ordering assistance. This information can be found at https://www.esri.com/about-esri/contact#outsideUS. FGDB The FGDB file contains the geospatial and attribute data. ArcGIS® software To use this data requires software that supports FGDB files. If this data is licensed, it requires a license and ArcGIS Business Analyst. File Geodatabase Feature Class BGSelection 20250606 2025 Esri Redlands, California, USA vector digital data ArcGIS Business Analyst Esri USA 2025 Data\Demographic Data U.S. Block Groups provide detailed boundaries that are consistent with the tract and county datasets and are effective at the national level. This dataset provides four feature classes. The base feature class is called BlockGroups_bg. The centroids feature class is called BlockGroups_bg_cent. The BlockGroups_bg and BlockGroups_bg_cent feature classes contain all the attributes. There are two generalized boundary feature classes and called: BlockGroups_bg_gen2 and BlockGroups_bg_gen3. Use the generalized boundaries when creating study areas. ArcGIS Business Analyst 2025 base demographic dataset contains updated U.S. demographic data including current-year and five-year forecasts for more than two thousand demographic and socioeconomic characteristics. This dataset includes tables covering key characteristics of the population, households, housing, age, race, income, and much more. This layer includes variables from the Esri Updated 2025/2030 Demographics, Census 2010 Demographics, and Tapestry Segmentation databases. Data Team Esri 909-793-2853 909-793-5953 380 New York Street Redlands California 92373-8100 US info@esri.com 7:00 a.m.–5:30 p.m. Pacific time, Monday–Friday In the United States – Please direct all inquiries regarding software/data pricing and consulting services to your local Esri Regional Office. For support, you may contact Esri Support Center by telephone (voice) between 5:00 a.m. and 5:00 p.m. Pacific time, Monday through Friday, by dialing 888-377-4575; facsimile (fax) available at 909-792-0960; electronic mail (e-mail) support@esri.com; or visit https://support.esri.com; Esri holidays excluded. Outside the United States – Please direct all inquiries regarding software/data pricing, sales, support, and consulting services to your local Esri International Distributor. This information can be found at https://www.esri.com/about-esri/contact#outsideUS. For other questions or comments, you may contact Esri headquarters by e-mail, telephone, or fax or write to us. United States 2010 2020 2025 2030 area polygon demographics housing population households boundaries group quarters tapestry race census area polygon demographics housing population households boundaries group quarters tapestry race census See use constraints. Access granted to Licensee only. <div style='text-align:Left;'><div><div><p><span>The data are provided by multiple, third party data vendors under license to Esri for inclusion with ArcGIS Business Analyst for use with Esri® software. Each data vendor has its own data licensing policies and may grant varying redistribution rights to end users. Please consult the redistribution rights below for this dataset provided with ArcGIS Business Analyst. As used herein, "Geodata" shall mean any digital dataset consisting of geographic data coordinates and associated attributes.</span></p><p><span>The redistribution rights for this dataset: Redistribution rights are granted by the data vendor for hardcopy renditions or static, electronic map images (for example, .gif, .jpeg) that are plotted, printed, or publicly displayed with proper metadata and source/copyright attribution to the respective data vendor/vendors.</span></p><p><span>This dataset is licensed and requires a license file for access.</span></p><p><span>The terms and conditions below apply to all the datasets provided with ArcGIS Business Analyst.</span></p><p><span>Proprietary Rights and Copyright: Licensee acknowledges that the Data and Related Materials contain proprietary and confidential property of Esri and its licensor(s). The Data and Related Materials are owned by Esri and its licensor(s) and are protected by United States copyright laws and applicable international copyright treaties and/or conventions.</span></p><p><span>Limited Warranty and Disclaimer: Esri warrants that the media upon which the Data and Related Materials are provided will be free from defects in materials and workmanship under normal use and service for a period of ninety (90) days from the date of receipt.</span></p><p><span>THE DATA AND RELATED MATERIALS ARE EXCLUDED FROM THE LIMITED WARRANTY, AND THE LICENSEE EXPRESSLY ACKNOWLEDGES THAT THE DATA CONTAINS SOME NONCONFORMITIES, DEFECTS, OR ERRORS. Esri DOES NOT WARRANT THAT THE DATA WILL MEET LICENSEE'S NEEDS OR EXPECTATIONS; THAT THE USE OF THE DATA WILL BE UNINTERRUPTED; OR THAT ALL NONCONFORMITIES, DEFECTS, OR ERRORS CAN OR WILL BE CORRECTED. Esri IS NOT INVITING RELIANCE ON THIS DATA, AND THE LICENSEE SHOULD ALWAYS VERIFY ACTUAL DATA.</span></p><p><span>EXCEPT FOR THE LIMITED WARRANTY SET FORTH ABOVE, THE DATA AND RELATED MATERIALS CONTAINED THEREIN ARE PROVIDED "AS-IS," WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.</span></p><p><span>HIGH RISK ACTIVITIES:</span><span>(A) THE DATA AND RELATED MATERIALS ARE NOT FAULT-TOLERANT AND ARE NOT DESIGNED, MANUFACTURED, OR INTENDED FOR USE OR RESALE FOR INSURANCE UNDERWRITING OR WITH CRITICAL HEALTH AND SAFETY OR ONLINE CONTROL EQUIPMENT IN HAZARDOUS ENVIRONMENTS THAT REQUIRE FAIL-SAFE PERFORMANCE, INCLUDING, BUT NOT LIMITED TO THE OPERATION OF NUCLEAR FACILITIES, NAVIGATION OR GUIDANCE (I.E., AIRCRAFT, NAUTICAL VEHICLE, ETC.), OR COMMUNICATION SYSTEMS, AIR TRAFFIC CONTROL, EMERGENCY RESPONSE, TERRORISM PREVENTION OR RESPONSE, LIFE SUPPORT, OR WEAPONS SYSTEMS ("HIGH RISK ACTIVITIES"). Esri SPECIFICALLY DISCLAIMS ANY EXPRESS OR IMPLIED WARRANTY OF FITNESS FOR HIGH RISK ACTIVITIES.</span><span>(B) TO THE EXTENT PERMITTED BY LAW, LICENSEE AGREES TO INDEMNIFY, DEFEND, AND HOLD Esri, ITS OFFICERS, DIRECTORS, EMPLOYEES, AGENTS, SUBCONTRACTORS, LICENSORS, SUCCESSORS, AND ASSIGNS HARMLESS FROM AND AGAINST ANY AND ALL LIABILITY, LOSSES, CLAIMS, EXPENSES (INCLUDING ATTORNEYS' FEES), DEMANDS, OR DAMAGES OF ANY KIND, INCLUDING DIRECT, INDIRECT, SPECIAL, PUNITIVE, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, ARISING OUT OF OR IN ANY WAY CONNECTED WITH LICENSEE'S USE OR PERMITTING THE USE BY OTHERS OF THE DATA, AND VENDOR'S HARDWARE OR SOFTWARE FOR HIGH RISK ACTIVITIES. DELIVERY OF THE DATA, AND VENDOR'S HARDWARE OR SOFTWARE DOES NOT CONSTITUTE A WAIVER OF THE RIGHTS AND OBLIGATIONS SET FORTH IN THIS ARTICLE.</span></p><p><span>Exclusive Remedy and Limitation of Liability: The entire liability of Esri or its licensor(s) and Licensee's exclusive remedy shall be to terminate the Agreement upon Licensee returning the Data and Related Materials to Esri with a copy of Licensee's invoice/receipt and Esri returning the license fees paid to Licensee.</span></p><p><span>IN NO EVENT SHALL Esri AND/OR ITS LICENSOR(S) BE LIABLE FOR COSTS OF PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOST PROFITS, LOST SALES, OR BUSINESS EXPENDITURES, INVESTMENTS, OR COMMITMENTS IN CONNECTION WITH ANY BUSINESS; LOSS OF ANY GOODWILL; OR FOR ANY INDIRECT, SPECIAL, INCIDENTAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES ARISING OUT OF THIS AGREEMENT OR USE OF THE DATA AND RELATED MATERIALS, HOWEVER CAUSED, ON ANY THEORY OF LIABILITY, AND WHETHER OR NOT Esri OR ITS LICENSOR(S) HAVE BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. THESE LIMITATIONS SHALL APPLY NOTWITHSTANDING ANY FAILURE OF ESSENTIAL PURPOSE OF ANY EXCLUSIVE REMEDY.</span></p><p><span>Third Party Beneficiary: Esri's licensor(s) has (have) authorized Esri to (sub)distribute and (sub)license its (their) data as incorporated into the Data and Related Materials. As an intended third party beneficiary to this Agreement, the Esri licensor(s) is (are) entitled to directly enforce, in its own name, the rights and obligations undertaken by the Licensee and to seek all legal and equitable remedies as are afforded to Esri.</span></p><p><span>In the event that the data vendor(s) has (have) granted the end user permission to redistribute the Geodata, please use proper proprietary or copyright attribution for the various data vendor(s), and provide the associated metadata file(s) with the Geodata. In compliance with FGDC metadata standards, Esri has attempted to practice proper metadata methodologies by providing any data source information, descriptions, and file names to assist in this effort.</span></p></div></div></div> 2025 Esri Business Analyst Demographics Variable List 20250606 Esri Redlands, CA https://links.esri.com/ba-data/documentation/2025/esri/var-list 2025 Esri Business Analyst Variable and Report List 20250606 Esri Redlands, CA https://links.esri.com/ba-data/documentation/2025/var-report-list 2025 Census Methodology Statement 20250606 Esri Redlands, CA https://links.esri.com/ba-data/documentation/2025/esri/methodology ArcGIS Pro Version 3.5 publication date 20250606 -19942765.3261 -7452796.262700001 2144424.2793000005 11528300.5678 Esri, U.S. Census Bureau Largest scale when displaying the data (non-generalized feature classes): 1:4,514. -19942765.3261 -7452796.262700001 11528300.5678 2144424.2793000005 1 This file geodatabase feature class is extracted automatically from the GeoEnrichment dataset for Online. This data is verified against the Online version of the GeoEnrichment dataset. Attribute and geospatial data 4514 U.S. Block Groups 20250606 2025 Esri Redlands, California, USA vector digital data ArcGIS Business Analyst Esri USA 2025 The Esri Base Demographic dataset is updated to 2025 vintage and Esri's US 2025 boundaries. An additional year was added to the Times Series variables. Includes new, more detailed 2025 and 2030 income, home value and contract rent variables. This dataset includes Esri's new 2025 ArcGIS Tapestry dataset that provides detailed summaries of communities across the United States. Completely rebuilt based on the latest Census and survey data, it now includes 60 segments, 12 LifeMode Groups and 3 LifeStyle Groups. https://www.esri.com publication date 20250606 Automatically assembled by the data processing pipeline from the GeoEnrichment data for Online. 20250606 0 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAL EwAACxMBAJqcGAAAIABJREFUeJzt3QmQ7dtV1/FO3suAzJOAiqggIoojKoNMKoQpZGJKSEIEmUWi KS2hRNEiUlZJlSVJMYQEgigkQIAwzxJQAWUGUQZFcEYEggiEvDzr86/77Vpve7r79L1977v98l9V p7r79H/Ye+21fntNe+9777///vtPdtppp52uAd37YDdgp5122ulY2gFrp512uja0A9ZOO+10bWgH rJ122una0A5YO+2007WhHbB22mmna0M7YO20007XhnbA2mmnna4N7YC10047XRvaAWunnXa6NrQD 1k477XRtaAesnXba6drQDlg77bTTtaEdsHbaaadrQztg7bTTTteGdsDaaaedrg3tgLXTTjtdG9oB a6eddro2tAPWTjvtdG1oB6yddtrp2tAOWDvttNO1oR2wdtppp2tDO2DttNNO14auPWC96lWvOnn4 wx9+5v86dvFhD3vY/3dd9953333bx+/33HPPA65x3047vTrTK17xipNHPvKRp3//xm/8xvY3fXnl K1+56Yjv/s//+T/b76/92q998hqv8RoP0D26htLB3/qt3zp5xCMe8dADrF//9V/fQETnJnhgAJDx Pcb4PYAKnPxcAWhSzHPNvM6z+n6nnV6d6f77738AsNCNRz/60dvv//f//t9NR37hF37h5H/9r/91 8pu/+Zubzr3ma77myZu8yZucvNEbvdEpMNE1/wd0rrn33nvPNTauLWBB6hVIdLIPigGHyAwwybV9 JiBOcJrP3mmnV3fAevgNXUiXfPef/tN/OvmBH/iBk2/5lm85+Q//4T+c/Lf/9t9O9YYu/q7f9btO 3uqt3urksY997MnbvM3bnLzxG7/xKVihqYMPKcACUoHJagX5BFQxADMhd5/JpEP0237bb3vAM6fr ON+9006vjvTwhz98s5LoAV37lV/5lZN/9+/+3QZU3/Zt33YKVq7penr3kz/5k9t1P/dzP3fy5/7c nzv583/+z5/83t/7e0/dQ5+zjIxrDVgYlfuHijP1yRWE/nxtH8zre2ZoIOaafG7M8mGuvu7rvu7J 67zO6zzAT0fu2QFrp1d3uu9G6AX9+3//70/+2T/7Zyff8A3fcPLTP/3TD4hPTcPg5S9/+eYyAq7/ /J//8xbf+oAP+IDN6kL08iEJWOe5aAUDf/VXf/XkP/7H/7gx52d+5mdO/ut//a8nv/RLv7QxBbOm 1QWA+NhAys8/+kf/6Mkf+SN/5ORP/Ik/cfLbf/tvf8DzbyYouNNODyV61bCE/uf//J8n3/7t337y 0pe+9ORnf/ZnT8EqrwSw5UL6PqvrX//rf719J6b1Zm/2ZpveiYMVb35IAZbsQ35xgTtm5o//+I9v IMXs/LVf+7UNoJirYlKBjc/v//2//+RRj3rU5vqJh/nJmgqwZDRcs4LVrZitO+30UKH7779/0wHW 0r/6V//q5J//83++GQGIfjEa0pG8oJJdBejp8I/+6I9u9/+xP/bHNgPhZj2Xu14bdVgGQpDvv/yX /7L5y37/qZ/6qe1vpicgY2m91mu91snv+T2/Z8tQCPIBI8Dk4+/Xe73X2wArMMM09/gOOGE+ZgM4 zywtu9NOr650zw1gYV0JsnMDfUc/6EvANHVljQWjX/7lX950lhf05m/+5iev//qvf3cD1jT//F4H 61QpzukPS5diyg//8A+ffOu3fuuG0MCKFQWgAMsf/sN/+OQP/aE/dPLWb/3WJ2/7tm+7ZSeYnkCI 5ZXZWkyrGFgmq5gW0Cum5TqzCUDzjBl4PzQQs9YEeZ5nr2UYh/gxMzA77XQ30m/+5m9uesY7oX+A i2yLSfmZ23eWfLsfMQyEar7v+77v5C/8hb/w/9V23TWAdchKOaTkM1YFqKD5937v95583dd93cYc 4AM4ANMf/+N//OQd3/Edt9+BDGZw7zyHFeV6aP6///f/3txGAASUAN1a5pAZa1BYYpD/Dd7gDTYr zc/f+Tt/5/a/LLK1HxOUMp8j75qlF+vPvSh1p7udHnkDVOjOL/7iL54C1bFEH4Ca+4RsfA4VcR/9 vJM7QKtS913fAwKdEsj7kR/5kZN/82/+zRaj+h//439sgMPN+zN/5s+c/IE/8Ac2c/J3/+7fvX24 edVpufZLv/RLN2DiNgIpAT7vqwrXTwDlXQL1vvM3tK9EwvOAX66iZ4h5sdze4i3e4uRN3/RNNyAr BtYMhCpcDbQqjpv93q2qna4TPeyGjpJjoEV+y7Q32Z9HJbpyGxkex9x3V8SwqkivCj3fFpAwNb/7 u797S5cyPaH5G77hG568z/u8z2ZRveu7vuvm8s26qRjiWgD3j//xP97ACkNZRu/+7u9+8pZv+ZYb 6GAahucWQnogB7R8j5H99Az/B3rATCwMaALM3/f7ft8GXKw7dSVAS8A+VxOATZcwcMpErlZst652 uk706Ec/epukC6KbjFdv5RAVeCfz3Y9uVv5vO2DpVK5UaFtjKTdLRgEa60gxGqBghgIJoPB3/+7f PQ2go4nwZSN8AAurqUAgKwoIPuUpT3lAycK0iDAesLjPtT//8z+/FcLJPPrwuVl4ZTl8ENBUTwIM n/SkJ23A5XeWV89G00/fXcCdrjM94hGP2Lwa+pGncixVC0mHeSq8mKyuy2YL772TNVTTFQIQLBlA 9Z3f+Z0bMGRRAYTv//7v3xSeBTPTplkvEUYAPa7an/pTf+rkx37sxzbLSRzM789//vO339/v/d5v A5QWbHpmyO9+wCJY/wf/4B88eY/3eI/N8gOeUriA69/+23+7PU+dF4Dzt/IKsTIDCRTF1aRss+jO 8/X3oPtO14nuueeeTbYVjvJo8pQKeZxF9IoeI4aHJFlhnGnM3DWAtTZI44HAv/yX/3KLVSlC44rp yDu8wzucvNM7vdMGMLl23DKg1bNmxs7/oDamcNM+4iM+4uQ7vuM7tuI21pLaLH8Xv3rP93zP7boy h4EF8PJc1hFQi8ogCt7LTppd/BRr8zsgA2LAi/UlUcB91Rcf72pVe6ngSXvZxE53O91/I3zBiHi3 d3u3bcKmEwyMYwArr4JH8qf/9J/ejIqeeTO1WHcshkX5gQZ0/qEf+qGTr/mar9niVbJ6Cjc/+IM/ eEt3UnIgA9jKDE5XEIMAi+9zE5HfPUOcCcB5NusHsHE5WUwY/P7v//6bJRWtbuq6ghyA+XD5xNGA n1oSoAh0WWf6xGL8pm/6ppN/8S/+xRZre9zjHnfymMc8Zot5ZW2tpQ67i7jT3U733wAX3gjA4fkA KwbBMfJLj+kIoGKM0G+GBgB80JbmnBVEbmuJYjksJ2UKn/7pn765bWJU7/Iu73LyjGc8YzM3mYr8 XeCjvICFBAxk6YoBrbUbc20g8pxnPetZW5D8C7/wC7dCN64dRmsPQBLXmrGmFfGzfHomoPVdsTXu H1B66lOfullXrMRv/MZv3EDLtWpNzERf+ZVfefLhH/7hG9BZsV4d1wTI1Y9f69V2UNvpwaSHj8mb /DMK6Ck9MjkfohmvZTxYQ0hX3v7t3377bk2c3VHACozmHlIUzfeBgr9l8b72a792U27WDpdJFk9n rOfLWgJwGOJegMHKyuxcEXmte2rxM0Rnramlet7znndaIgG8XvjCF27P/qAP+qDt2vzpluKs+2n5 rszGJO30bm6sjKTZg8X1Xd/1XVvAXnU+gPycz/mczdITm7MsgR+PV4BWO1rnWPbQJwDbwWqnB5vu W4qlyS/XkOyymr7ne77ndMcG1EoR5UfcwHd+53fe5F6ohDc1wyA3E8O9ZcCaAfW5lihiMVHgL/uy Lzt5yUtecvITP/ETG1gBDErMWplZRJT7JLZF8ZmQ3DIAo5MBofcANNcCzT6IRSMj4RpAKbhfsPyf /tN/evI7fsfvOPmTf/JPnqL9WoIwLaD6l1vrfX7XNm0SdJcp9E4fFpZ4FqBSV8ZKNKhcxNzeAvIT cKdltfJxp50eLJp6QV6FXQAX3SX74rr//b//99Pwigme7gmHMEpaeYIqhZhexh0FrLkf1URLoEK5 AQQ30JYUFFxnn/a0p52893u/98nbvd3bPaDEoeA3ZlSGwC2sk9MdLMbFQnINa6b3Y1iWk4wfhrmG BeQ9yicw/xM+4RM2y6htZg4FAbWv/YBae1i7WG4GC/CZQfzkKhrIL//yL9/abeYxmCxLoOU+GUtx uwZx3T52LifaF1/v9GDSPSNMQg/ahIABQc9M0Mj/GBgF6DMqpqe1Vg3cTNLpSrSh2qYsnrJ6rAvg wLISqJP2p6xPeMITTrN1FaHNNX5+AieWFZCj5GJSyPPFijwPGNi6wu+ucw9k9x6bhomR+Q7Kt3aQ 9eN9Av9ABKC2OVmg1LpCH+USnqHorQA8cANCsoXPfvazN4B63/d93y0LmRkMcIEll5CFqY0yiQaJ eyr47/9z00G/Z3ntu57udLfQfTfKiTIYApoZi8rLQXOSXWPOU6ZN6JfdwunKgu5oBr/VKInnsDS4 gUxHYOUj41ZKFEq3XAZCAwJBcgDkJ9DzfMouQ8e9AlSeD8iAWvdgAMuqkgOLot0DLDzbfe5HEgAv fvGLN/d0xo8Kihejak/rNtY3SBIC2g54XA/8xOX8DbQAJaADWv7/zd/8zVtWlDWmDEIbWphtyVHx u0B134drp7uJ7rtRcxUV701OWVEz1tve7nO339WLQA9aWcMMSrO0AIQMWbsSsnqe/OQnb1YIE7JG U3A1HVwrtU46BYgoLcsHAMlE+B3TAFQLoVsF/oDO3Hvv9jzg5nl2eMAU9V4ViOa6aqdnCRoi/wNI WXvrFrHaBhxLyQKtrmPxAUCg6L2SCCwtoKW/Fakq19BXwKltQM6zBSUVm651LRW47rTTg0mPXKyk soDJ51okXTIJ5T1033mnWB1D916VO0hZAwIWFcBSSsCF4qJJh4pZoSwqqf/nPOc5W50UiwoQVAwK THSOUtv3qjqsNbjfavD5veA6K6u6Lc/zHcCb74+0UdCcFQiI2mamwlV9cz0w1BZtAlDc2Uk/+IM/ uPUZD1hZwEpiQTblQz/0Q7drWFdcSdYW4FKy4V0C8p0uEu2FpTs92HT/SEDRgXSu/eLmNuLpg8l5 BbRJLYS+meLRWwYsyqnRrBMKzRpSOsDKAQTiOZ/8yZ+8ZeXqNMXkKn71V3/1Vr/EpMQA4IACq6jS /joblbWIOd1T4J6F46f4F9CStWipD7D4zM/8zM068j7t+sAP/MAtGO5azwTG3q29QIo797KXvWxb SqSv66wxi06BkuI6SxnwRswOP4CYd3FjPVuxqedL+XJhASaAdM+diGElhDNmNmfEsxZrr0ehHcps nlVHtgLxdBvOOh/yZum8o6QO1cCtqfZ1sf7ap/UZnSNQPHLe28Q6r2/Hzqzr9dy+iyat+w4kZtqM srjyoW2Q6udqxZ+3ZIxcmmDPymrPMibUhgOdUbjGrNosINdxLaEAgGtJ0ZUF3TVKGl+8hgvmZVL4 QABwCFrXaa6izKH9rtybJTRpAgGaO4CmSD5tiYxkA1k21gOymCi/n2JJmNOuCt7F2gJaX/EVX7G5 sP72U3wNqOSnux6gsZ6AD9AiTFzIZpRmmn62XY17uYAGhDWpLSyz2TcuJNDyPLUrALX/ZW3eTjoU L1sVdirYjE/0N5oL0aMmkoBoHv4RVSbS0qX57kMCe1lag7y189DOIWVnJ4gf2gOtyTFQ8ns7gcwM dWPYyozJ6w5Fme7WjBX1/4smrXsXsKnd8W0mdNKhOabdP124Dmvxu+dMHjXmeTQXbcLXc6dHU3Jt BbmZgJp9eEB/T66A6rx4EKsJEAANRaHv9V7vdQpW3D4xrec+97kbqFHW8zqJAphZozVP0QFCbY9M 4RVyAkolBpQ/hJ/BbPdaaK1t4misLEF6+1WLJQmEpzwGjpunX1//9V+/AU+MPivG1KBH3i3uBsiq V/HJBeYefsmXfMkGto5DYgmi2w1WKwW689COLOgEeO79xc3GewKMzwH1pAqAXZcAdkSbT8rt9/bv b4vqq0g+SMZkVbc/WcrRwtxp1WRVJ29NiNOF6YwA93PxWc5lzEr/F1KoDGZSwFnBdSAyQWGWAhxL rxonnaNkeIIuHhs3PwOyfscnFpS+zJKbWbU+23bM+PScFdjiE2qympZ2ceOVD1cSw/Ii1gd3iUXB ovqQD/mQLXZVJzVAMWWLk6v0PhQ8Xzs2XZM62RbGAMZ7gJRlOarOYxLLKIFZZ37vFuxm8XDdgBXA VR0PbNVVeR/XDpgArGJgMRUdsyeQ94nfySBajyWryGLLBQZMQP6f/JN/sgGpJMWtWhbH0nRJzprN syQmGAF6CRLbV1MAfDQB6dOc0RGFNplwi8UJ9Q+fCbExakfXZCW6CrewyTKaZ05SVO8kU2TAWLOy Lc5vr7QJBJ24pD9CDZSbzLlff5LRCp+jeWLTXEUx+7hanXhyzPYrL3/5yzdZyYpbrRVUwbNJ04Rp LSx9NVELdRT2aKddIRTZcxPolMOe3z5xnY9wHtFvbZyHvNSveDpdy9zRtVara24ZsDTYYFNqVpPB I5Aygu34icS2ZMak9zOFVxCZDYzqQMF1RFgoPlAR0JaRowiZ5w3YodltvqvnAAsD6CdQZUkBPu0E rjKVBrcs4qGtlnvuGivwDsrswzpTE6Zui7Kz3NSRBX5KOAAn5WblAYC5e8TtoLmLRFZP3zXT+U77 2yeshIH2Eci2oKYQc9bECwre/vtZwuSC6y2uaZ0lHtXPaW2srsjNkn5oWzvKIskT/cBvVhIL209j W58ouf7MTBcZ04csEf3SfmAs/qlwWN9cEy9zcepLrlmuJL743XtNmmoF29PtohjWG77hG27vJlP4 Oi2irEdGhPCLcAYwDqiyigNTvDF5mrD1qzMEGxfX4ZPJFuihGZI5RHjkHcqZyLUJ5BR8biy9oxfG IlfTPfrE0yhGjbaQwskVEMWz9IYQGyioTOEDDIIArFpnV41TFkaD2SBOaqP71ixC/j/7Z//sVhiq fICw6OA0J+fvc7bJ/J7BeoMMRAAH4QUk4msq8jHTMh7MnIugG8CYOH/O//lJOBABAUiKRSkp3ohd EXyJhwZfoa1ZDmCtFsftoHUGLw6VG0vAfVhSLEPjV6b00AEEhyaegDylN17AyqyL3xSdpUJIKUyu 21VU+uuD93muSYYV1VZAwhN+tsi+5E4gs7pX9WuOfeUyvAoKRj7bYogOkM9JM44WL+b/gItVIdNt Po9e//Vff5MVSRty00RDt4ybXXwBTLpXH7MCp2tYv1iWvA/ymOWW4WDsPUscmmV90fg0hgwKbZyn 5aTX2mlMAm+g5h7ykYV8ZRYWQebmQVyNIxgzqEYQWCnW87FiUDGRaAWBaLoVGGdnh8c//vHbTwHs GeOZAcf53VkmdbNfJQi2g9FWAwxYALCYG4EO4OZhGRWVJlBn9aHZlBC0jtFMpszj6U9/+mlWEA8J j3IMAmFGJIi3m7y7oPfkFSEy89kAkaAbX0oQ0B9SpCyzNYY3zfyUqVnVcimKLnYnpsi9p+hXlSEt U0YxeACsZ2U0xoJVmAUw23uob3NS7dr6ZWyBn4+kE+DVF3LKgm/ydn3u11w/O8GQKwq0Jk8vGr9f +qVfekD9YBltvP2sz/qs0/3g2pJJG1gzJRd69+z/TKzMScd99KTDXS5qX7wUS1wTa9oNEyob8ky6 AeyrkcTHSbcMWAafUjeI7WGV9aRBrCvC4ruyC8VFptl7SNkxiFIb/Cc+8YmbhcLlXIFpWjhlV9Zt WGfgfaZeDaLnAwmCzOwFWizGzNR1x4hZanGI1hKBrBE1alxMmUjurA9hytWq8PaLvuiLTuMJt5Ny kVImgmW2+6qv+qpN+fQ/PnTdespRMZosghlzPAsEikfip35bdUBR8V9NGqG9CgvT84Ej65lFy5IW x2l96LTyZ20RmlbhGgJIvhrXslrGUn9MeOTpsY997La7Aa+glRLRuqqhw36jnnce/dYNKyV5BAJ0 jYGgDRS/uOKklqDNGHJlGGUGZ41VllLg3vMusgCb6GfiLJDWN2EFMg434IjnmcBYrBkLU7cvBKx8 a51o0DxU58woBKzDFQMHjaB4Bg5KmtWg6BzgGh7zmrVnDUhMMmNQXguVzVZrynuNc0wzNXM2gMwk r+4rK0u7xFFyY7kO6y4SxwbZ13sqnsNHvKE8Yg+UkqksZvDxH//xJ5/2aZ+2mdn6q/CWsDOjfdYx mcJ0Ea1uyAy0z+yYPmubDzff39G0Xmf6OeGboD635pl8qA2zbq7YZHuWlQRRDsN1bmE6KovYzF8B MDko3tYKhsYR+L/oRS/aAJj12r7/k2bfpsuXLK5JhNbWrfVqE/y8B/BrM8CnkIDL5BtYz7V5WS/V alUecxE96ka22rO8EyB/9md/9ulW4YdiYDOBVQJKOxuTDhZ+AFDc8ChKkDQWF+04uoJUIO3+dlcp a6ksqRjXrM+aseELAWuahgaqNDUBY12xoNpixczV6TNI8JCLhXGBXICV4q+nb8xZrbod//dMJnxr mC4T21iL/lJcz2HeBqysqgTpUIr+ZmmejJvZ710sLXE4LoRyDEW2TgwCatrm/wB6AtYawL2IXD/3 xG9hOZolHyw/Sm1BuLhSytIsP91f9/fMQ7P35FsKFQ/mWHvGtCBcYyzIlf6RMQvla3cTVMo03djc dJSVok/AqiVRAQqa2anqjqJAsaBw4zb71fsOxZomcHOlAahJyLPsUmKyWgtFb5Z+5Vd+ZeOLsWSR mOjoHUtLmwvoz/3e1ljxrCfMwuJ1XIWFO3V5ym373pF9kwredEBFGxnM3Vyio7Q+N252UjCZq6dY 1Gxm9uAzG6CO7RK7AliBVO7CfM6hmqsEysACQqBIic28guHrEpaLaJZG9A6zHjdMxb1gshmJYK3t u1UKpGeRIuFlTTDb9VGQVpCzujBB0rbBYX21/nJmnI7t/3nA5n/aBiS5D5INYle1G7WbRoKf+xGg NamgdRNHf+dyzLqqFDzLb8YfPZcAs8oJLvdAdomFjWZhYX1reZj3ZnkbS4Fh5SjF3yatlt9UqEoe Jq0WWBbQ3LyyeFn31j4hBmPJujKWxvyq1ojecyO7B+jxzYTjfdG00pKhtWzAuLSvXGMSX29ld9BJ a3y5EhEgxfKd2VJWtmSYlR/dG13ItYojQ2t/Q3VuYIE3SiVtWVCdiWeAmKdeHq1ZpYCw3zEsAefX StVSZkt9DAJwFAsogHksTfcJ8AEnbg+ANdCeTcCrRm6QCUIz7M3S6ibFfMAEzAG9mYRgiGcBTwqG D9xtf6sxY2UFBJehCcAVws5N1PBAVop1hTer1VKCZHWFK8Qs9b9Sio2H7s3tXKnC064vtGDCY/W+ 4AUv2KwsWeHc6rkrQPVKE8jJHxAWs2ItBlaByzr51t7Vsg/Q5ziufJ2AsPYvr0K7WcpA96oAIKL0 PA/jSB8Dq8Bn9nN10dd215cZx7oqWjPFCI9lyck9DAnEO8G9rZgnHQ3zuRYYYBYGRoTKIKgqlw2p gwT/i7/4i09nay/OTZwKNK2p6S5qrCC4zJ2BZolQYoA1g79rQO4sql3Ax8BajiMTB9knQ1fT/lbB CvW8ApaovgJ9WVZpffEsg8bSomyAtB1S9dv3ncAzn31MlmYNnPp0DuPnf/7nbzwxZrmKUwnnMU21 vawbwZK2N4F0VFogZ7wBhTT4CmgzwzqfXRA+EGIF20uNZcLS8pmVz/UrIMqVM3ECYG63yXXO8DNI jibQzdKXALp1cLP6veflQq1Z09zF4mqsKrIsJmmsr3Injle84hVbf7m8Fbrmhs948EVhkhmy0Wfj eVXrOSetEwU5YXEqYZixQu3Rn9UtvZBja/peJ0r/E3qWVRvW9TKzLsvg0GxSTGqNVTXLIhaH2ijW h2fxp4EHgOFOtTbwGMCaCgsguBoAUB/WUoVp2meNHLIeboZWc7hAMytCiQbz18D5qcyiJUBmTTGJ TgO6rBCVDVvPgcMLbqAaMMCYOzbbm9uTGxE/tMNEor0KJU0wfifkZXY711Hg3u9kBSgax5llmiUP WXJzmQpL1GJzRYze4V1ZVHOb6cbOu1nQwhHeN2umDlkcE6gae/0Q/CW/5IS1McHFczx7puonWE8g rsRBOY545Yx7XQVg/fKNk9PjSTyYfVxpuuEznnUodnyry6Nmgqa/p17OLHXymet6qPD7KI7NwHv7 rMuA+J5VYCByqSYDGrQZYO//uQI1doKVwCSLzcxaMA5oMe8pMsAys1/GPTKogrDtsT6BCU1gumi5 0GUoF+dQUBZRLmloAk1JWBFqkQSetUMigwWkpAMP2mtoJg/Oo6kUWSdARPyxA0FWd6+kRlbxrIBv raUxYsoDrz7FFl3btjza6X2AmVUrPsfqOuQupCSre0jWxKMAu8xh4LbyGZnU8NTPntHPszJayRHl MWHgP69B/JR1pG36AjxZvtpjwjYpB8BlXqe7KTX/0R/90Zs7y4LWhibrm1kreIjaAqlJMJ6hs7J4 h8BqknEE0ldpYc1EyQSuypq8c/JkLsG7FGAlqMUPxKQovJ/SkEoBzHztWRUDDq0TnDGBakASVB/P ogwGmOlsMCgCwfEuysviIEQA6xh3MAbx80svE8z2hD8vyD4H/2apZ8wA83SFO6Ciinj9FLsDXmZx 7eYStmSkxcjHClPAU3kA4QaA1n1yCafl12JxY1R6PUuYZcMttR6ywl3XzwxmY9viYKS/wgaWq6hm 917ZT5OHvmfZJWczNJD1gwfAAbCzPlXJe0dB75ltw8s2gQwg0JoFzEVvga3+kD1Wvbhp7yiWU1zF dfjgWuMC+LWNbE2wMomrGeQpAMHaO2OEV+EWPuzG+MzsW+7xlOuOzqNjfs7Jr3WGLG2808/G4aLd GC6iab1NwJolMoHSXLN5yLLbymAueuFcUKnxgnpAA1MIIeBgGn/e533eJoAz5hEYJYDTiqkjARcF NcD3Dp7bAAAgAElEQVR8fUI5zwTkDlFkM5xZmsCwRGZ2Z3X/CANQZQ22hzuBF1eb65/Os9Kuoqwh Xsz3zHo2H21kQXzUR33U1lamMAtTYqCtncW1BN8FKWe28BjK7GYFe5Z3KWosqxa1Qh41joQaMFHQ Jz3pSZsCUtpD7z4kZLkVLDPAZSKS9eOOsrak32cZid9noLtaLe128pG98E2QrU1EuaG+a2HvOtms ruB0fz2ftegkJ4BcvHaCyVyH6P1cYqGQXGPARd70lRto40bPM/lEq/JfhUv4qBs1VDNkUx/xBd/x WxIL/3knwLgkThMaGayg1vVA7aqswIBqbssTWE8eXCTPG55c9LJZ6evhARYhDjQogKygMoEoUy8z edat+H6mmTGGyUwhmeNmgQbADAfAuIVmZu9gjdTRWZiWgBtAwMSCKHsCrKovas+pNdX9YBBLhDKK U7XfPYE3Q7dYFe/1gftGmI5NNkQV65lQZM48t0LBSYfcVvxidTh81vhwc+a1F1l6zfh47XdgR5ET Vu2Z4LHWZSHtZAEABHzqGKlqqSY/TJ4ssmMnG/ex2LncZC+L7dB1UYkBMs2VL34rNup+oKfwdYLV 7aLfGIe45DUgFhSQYi3yWKweaOwmrUuDPE9f7tRuIZelCwFrol6LH6u9MrvIYnWYIgIGHX5KoLJm So/P7Aqryv/Nbu35brbqXa5lFfjOzEwYKDDgAVqY2g6IzNmKMRXQtZykQypmAPYqY1S3SvqvL4Lg 2giwKEO7jwJd7ZVNFL8R44t/xwJXFplnyZ6xQLpvusQz9hGYCaqzagh8C3kLvs9lJOeR582NCU1I wA8AiwdVWDytokMWkutZMgLwlLF7pmsFlOc2QBdRAXZWfAtti/2su35OXs9NB1mf2sByMQGRY17A nTpQ5GFLltI4FVrxYWU1diW3Zpa0vnhOpQTk0jPP2vHkwaKjbdI6aJYDBrlcBA4gMI8BWYtbZ9A0 ZhT9b3dGQmbRq43+pHyZrDNAjzDQzCCOVdaGtUHJCYgsl6AuhdeOjt+inM3cbSPD7AUKBLrCtbY6 frCoJRLahJ+AV5/Fe8yS/V/MJ0Wc2a2LACvh9Gypb8DXgucZ55iWSs8EnK2F45K3HOPYgD8qztQz 9U+/jKmJikLJ3BqXLPDZhjKIFaGaHMkLmm1IPj2/9P4xS0fal6v0eYeMzFKHWUKztg3hJWD3rGn9 3Sm6Zyx54+pxRyVF6Fb7UOXxTDdv7ng65UC/jp2M7jRdqnCUwAKMFlSaqQmSjAozXwGiuMTMEs7a HswiqAksK4LwdSzWussgMClm4/+uU/+lSlw8w2BwEVl5HZ+FCBzhKSFgNvaxmLddTrX7wQYrFJi3 FYj2sqIoAKAtvgOIKSO6SAknxXeTiTiYZ5T8mNZVscYJXNw3QO9n3zeec+ue86hscGPaRORv1iQ3 mJvXqUnxJIthlj/oC0s+97iA/2xDZRHr92dRweZS6llsPh2mMDNqfabnUVKik48q27gToHXviAPR FZaVQluTAf2ogn3W4vV7WdkmoRJC68qQa+kStrZrHr7AhDYDM6ethbM53yxvmMFNIAWgVKrzq8UN yjTNmWpS7h5wJPhcAQILsCqraDaNmLCU3Swjm5Wp3zo11lfZQW27ymU4N0PF+fRRLLDthgvocgtZ tPrpw8q6jJmecAIsiYeyMmvfp4vgGu+12BzQZ33MoPGahTqPpjU4Z3iALFZnchEsn9nBAGTd/cHf xrBs1gpMLc6ddX3nEavb+8Q49bn9mtbY2GzDoQl9Pd04Pl4m1ngz9MpXvvJ0SZkSI+472cFbbVgL LxkdTWJZkVPH0bpl0rUDrALlZsEsFOiNOUxPYOSaFnjOvbN9WEYsKXEQv7MiygatzEIV3xVI5A7J aqnBApil3Ss805a2NQaKM8vBPC8TB7Aqvyj+cFULnG+WZkqaIorDsTz0x4zNsmy5RVsRF2s5JlNo LIxZsb9ZPDmriif//e693DWgOdfuAYJ2nzhWGdftghtb3xsn4+V9rMjej2pb1l8WHnffxMVtnjG6 JlGAnhJfRPHHmkPKrMizIHo7Bkwer6A1s1wmHe1lmd3pw3Df9E3fdLOuBPyLV2WVNinOBeSr95SB cbdaVpeKYbVa38BSfH/LZGGO2BKLgGvGJQvcMuUpXxvvYWgAUXHiRHXMre7FewilmAsllu1rs6+q YFt/5x0yMm3XQgmmsFIEyurnLFy7qir2q6ijwQt9Z20QPv2rzi0yGbBypzV0DHXi9QxGd5jHIdDW Ju/lmrJyE2zXrjGQi1LzXTPdrKgtfPVZPFIbD5W+THnS7g4NWQFbu+cuA8dMSCWFVMYH6qx/H+DX qooAuok4AG9XTn+vKzuuavnNefTIGyEDE7NJjhcyVwLMMp94GyDVtunmTtlquc7dREdxs2Aos736 l7YlqbhMHKkygUxp3xPEpz3taZublktQ6nrGLBKIjqMXqxLbsD0I4axGJzfB76ypv/bX/toGVKy2 AvaHrDXANwsJzwvKNqDVi9xOSlg6lEMmUIqdELKwyppSBnwojoWOUYbGjUtYiUHCbLwKoJfO9p62 FTZTl1G9qszq+hx/U7a5wDrlOVT02RpD1nbj11iRRfKGb/4/s9JR1ljvaPxL2JCTqt3JrOw00G6v tEAgWVwtsElnVZmvyY1boVfdeIfEiM8EqgmY58nKofZP8Lqb6OilOYSh0zJmBgUjAAyLKDdtFh8C E5+5l3OoHUOKV7hfWUJ7GEl3o1w/QtP7tKl1hnNN2SFXKyUt3jVX7R+iubbsTlAKpV/tL+W7DjmY M+Rl22W8WFaA7lCdVUHX2lENjvtYtbd7X3ltk+HtfML6ucZPAh7/FxYIuGdIwacEiwTGrKCOpysP Arv+bn0n4CJzrD/AreaQ9SLu2inhhTaQ57K2vCOXcMb8VpA6FLy/WXrEIx5xWgy6HlT6UKOj98Nq +1wzYhZRgFUwuNhEQkEIO0gy4Wg5jvvN5GatDmiQxaIkMn5tdeIaAX2ZSIMCxCploOAdxLpSAtIK foqXZVf19brCfiru/NxOmgqHj5V8+J5LmJvR9izTZTpmhm6LY7zK9czqXAPLSBvwizv+OZ/zObcd uL2b5VipzLRKsqZT7JY4kRfy1t5XEwzESAXy7Z2PmmBz5+Z71++mm0RuyV6byYmjmjB9uIk+LC+A 1uJ1oDYB46zdNK46GP9mb/ZmG0ivO9M+FOmoLZKzfsxs08KK6S10XS0AfwtyG3QDa8ZasymyMwDK Yl/LbgTGfW/2YpUpwFNkKGNlYLieYlncHEJOkAjPPCYqQAxsgGILqGcGZ9JZewXdCZrgUSxP+ztK qn7F38tUuusTkKfkqPuyrLI+p+vUSSbiObebzluvOa2RtY2AtZT9dIM6V1I5BtmKB7Mqfsru3LEj GShAPflc/DYQKjRCPsmlch7ARc4kKny3nol4zHZAl6V7b5wuwwpc401XtSPEtXQJDWprllKsSgNQ NSspfXsaATkg4+9ZjCZwCmycZyhW5RrP8gzWEEGwttDpMgbevb4XDCWQthwhtKwypQsC72huiZEA us8MxKRvm5O58DqFuGgGvh00n6+f2lr9Wjt9TkW9bAyEcgKreaR8z4n6PTAvg3onAHzWTPXO2hOo zu8COOBdEWoeQKdLG2sH+comGu/c/zmRre8txNGKjIvajJ9+Wu+JjJVJlnxab6msRiKoPed790wU XAWAvcZrvMZmWbUP+6S7sSzhVumoPd1RA9lMX50LITGrBRosqrmvEdNdPAFYuA7osY5kZVhVYgVt N0Jh3/7t336rI1Gla5Ysq5Q7B4ykwX0IpNoiP9d4RFR1fZXVlFeJxKEF2bPPh9yI20kET8DdLN3s nVUQYE1X/DLUygO03juBaW4PlILdCZewdx7zrimPJqz4MkGXnCm5IRvkTDA92Z3vWPu3LkObIYz5 XjT3n0KeDxyBaGtYyejHfuzHbhaXcMb6jqugR93YGePQ9jkPNevqaJdwVdy2o+g7JqmsigFjUQGh gMDfMn5mPBXKyh8E1Ll/4ladlgHQgBWrSvmD2ao6rWZO1Im0AJLbItYiaMvtYYavJ+ZELBdlGGYj wsOi035uZf1s5r6Z4PbNUoqhf9onBjMt0ekCZnVdJv5R8e6qcGgqeQHtwOOYE1uugg6B7wTpuQxp lje0BGyWycQnVheZeupTn7rxlQUv7DBLLFClGoesqrN2elhpAr7rtIlMch/JOhkUg20ymjJ5Fe7h /SNwP9t5md08HpKAtboQZp6UoSp0YGOwgICP+1hYAAxYmXlUc3doaGUPUscKUC3ToLBZNwVUUULh O/VBrrPSn3sn1uJ9nXw7iwxTQgJNcAiNe1l9LTz2bP0peVDNUseV305aC2xn3VUB+BkQvqyQz724 +nsqmZ8za3qnXOFoFilO128Nvq/b37Q4OUtnJnGatFjpJjgA5lpFt8a5bZPjzaHEy6ESmUPAtYYR usZE7RnPe97ztslUPNJEBEinm3+rwfdX3NiWZ7atsbzVvayutUuYFVD1b0H4mOJvdSu21QAgTOO2 +fD7s571rNMz2jC3wQNSrC8W2lTIWY3dLNJaN6AjE9T+4oLwQJDCd0BF7Vq3oeEaAkfWTPEF7WtG agsTxyXJRs76oDJsl1XmAsOrMmpjJ5Zwh1mMsqEFmGeguBNZKqx1zzElB/V/LbCc7tAE+AkKE9iK 962u0K3SIVdwrSRf3znjcBNw8GPWHrnOJGUylbQxpuQkwJpAPuOYMySw1uKtC6IPtbtnmnBcT46E PT71Uz91C3PwBOZ1t0L33EgA0Mt2Wpihg6vMRl673RoqkkvIWCTiA0CA4vnw1wECYGrtWqfhtkMA wRJPCjikg1OWuUhz9cF7r+9lY6xLFI9S4uBjtpkHUQZyBZEnTQWY6xnNxsCj/cqlxwlbRbE3o6xr kHfuQjqPp6JILDvv77DJguWuN0trHzrW0kqgZ/+nsjUm3pMbOBcBz6D3Wmx5mfWEN0vzhJ/c4dbD Hcr2rn9nxXPJ/JRxluyR1RNLVVIxXU20Tkq9e4L5sdSzrH0lS9pjHFdw3ek2WFiYPK2MuZSiFfnA S9DcGXcVAs6tWBXc2S8I2Jj1WEuodHKUgs+YTS4eAoyET5yARSeOJW7g/2JqUyF7fqZzW7DOo5AA UlsS61MboxXQROtMq13HxLqmUud2ZDXIKuGPyuwAqvcBr5aO+F7quor+Y5dMVB4xrY6pdHOSmO2b 2d8JGiUxrqro8Zj240ug0XcsaeB90ZrGQIE1L35pEhIjlcEjOyZSfDbBtr1PgHjoeLNjLM3Vsumc ROsVjbfkFG/goVjYebvpKHhPOIsPNOMCiBSgEgcCIJhu5qLsQCDQonBA5pnPfOY22xG4uRZr0vTz p3L0U6xHkJ4gAizulMxMJ/i0SHe6RFkEHUFVphNIEVaWlJgWgS02Ns/dWzOHxwbmZ0reJzAAJOJ+ +GPWb9O0+qgNc1dUdWmUbl2TdxEBua6fhb2z9mvGVFyDhxYX59avrtJVVmqfR3Pv/9lmGbjGeNJ5 4OVaMldGu3gW2cF/HzFYf4s7+V+FzXMromNcrTlJBfTGXW1YMdiHmrt21wBW1g9lqfDTgHAHgVYb lsn8KVUQDAdazYBl3wiJZTpcwJndSehz6fjiqyLMjBbiNpmtvJt1oi32CSeMYhbNyIFDCQJWIWvM ZnYASfaIcJpZvRtoVJIBLIBKbtl6qssxNF2oWV2PN+JwFoZLSHgvxZjZuZagZNVUSHqZRdvaaXJo q56VOmxggpd3iP18yqd8yum2urPPM4N3u62EWaiZux8PLcCv7bVrpUOA6rosbEBuIiA3SiECMROX 8TAJki/uI1k3Hm1DfGzZh+e1E6/stB1x1Wndbbt5Xgc62oHOQorJBKXCPAMiXvUFX/AFWwmDmQpR QvcAE4JTjUrxpXnqSeb3zBq5H3gdEkTCxrpiBbCMAKQ1YCw7il6VMXO/GdQCYCDVUpDOyasKvLYU J/MOz2pdWJnRywjrbPtcesJC5B63rQpAWUFQuwCs97tOnwKvY1PXrlVI2c6Ta5HooRqsjqxSoAu8 zoqz3Omg7iy0JBu1c9KhOrw1mB4wZ6nm+kctveHGmfzIiTEiuyY6gGPSa181dNYE1oTgWu8md55j XNu7a6fbUOluhgA+LAN/E5iygQDDDqCK9AwIIWBJsX5atgPUzFQArcMpgR1AKahdvIpi5vp0SGfH EpX9C9wEUwXcCZF32NyvnQYAFcHyXkFWMYsyRM2whKgjkHw6HaWdToGi9xJeoMwi6/41g3SIprs1 AblEhO2B8SywnO6m9uOR9yv9AHLF4BqXi8i9AAvgzbR7ihzozpQ+YAbueMYK7MzB2Z9DtT+3g2Yf A6gso7Xk4KwShJnxi2a4YPKh5xt3n/lcctueZVZacO9YTLXzEC/md4VNyCDQAoo7YN0mwMLYlsgg AyzuA2hYIcAgVwrAtKyGGf3sZz97y+YZPCAntewerpgaLUBQNbIPsKAoLBBuJNePzy8dTGkJYMFU wVNAmWCor9Iu/+uUnbnYd90uVvDeRzCWi9FRVJS8ZQ/uB1QveMELNgDxWY8uP48Co3nWnzaauQPY 9rrCT9d5PkuQlVX2tT3esxKOXZoDvDvWad0+uJR4PCrO1hl1eL9uSHeeC3Y7qMMcZkHtsYmHdgKZ dWiznytYrzSz1cZJ2YmPxc623P7bf/tvX/j+3MHakKfBO7hb906/9jEsQgM0DFqFhgW71VB96Id+ 6GYtmDXUmrB8Wj4jG8iaoOhA6jM+4zM25fQcs1auUi4O64PFZCZr51CuKCBrb3cCA9CY7JRZmQRQ UUPVuXTFpRJYwgGUKKG1ikDKM7RDvwhWC7TnshjkHiUYAPgrvuIrTrN5F7mFZZRyP/SN5Snw2sEZ HShqXRpQYnXa+RJ/vQ9Q42mxvWqwjl2Lhj/aj5f4XqwQFTPz9zz81t8vfOELN0u5HSzn7gj9foim JbkWSLa0q2LeJp9AQ/va0rq+HQKmvluD/3OJVrHXWUgZUJVImNX0h3hZkin56fo2sCTXtgYn13N5 TJaw+4xXvC3TzavYs4SXp6POJZx1TKXWzf4Ej5XAXZKda+sNCmZAc+GAgoFLGWRiqiBfF7eiWU+1 unCAi1XWgQ2Un2KniASRkic4AEDpBGAT7Gc9uaeN3vTnojiQZ3Z2IiEF0m2BcxGtm88BXM8Q4AWo 3FUgC6zw1N/cDhZpGULgpM1tHzJLFI4hfMcrWx47Oy9l7TTieD/bCjQ7zxGY41sAVWr/UAHlLHg9 FGdriVHUKTW9f8YeuWQX0eqKzcMk5oLnWZDcd7PI8lDN3MwsT6uyXSHwQHkOD4EszIz5zL429v2M 53dqNcGrFWABFgIV47lKlKeKdRaC2aJDQFcTt7iDa1O0tjleN9Gbs/BaAd0aPwIOkChTWUDtmwFx PykXJQMyrC+1N/7OWkhoDoFV1l5WQMch6TvLB6BQqGMAK0sjKwtw2hlSLVqV9YCzwzH8H7jYhQII e782a3u7j6bwxwIWXhgbVq9aoPrWLqPR5Dc+axMg1W9ZtOShQHW7JZxFJVPmJncz8J0csKYBORCI jgGrtd0tX6pP0zJjAZnYgL9kQqCC53PH2xVwe25gVH8az45ja4JNpuZeXmtb19q3na4QsGawFZNZ KQCLkBkMJrHAI8AKrKZrB1iUOrRBW7TOytP9mjP3zF5Fnj+Pm59bp+R2saAsEwIM2swdyrKoah+t +1z3c7UKmmU9l0ta1u0i8pzKGfwOkHyyVrhr+AmUuKn4yJV2kjbLlVXlb9exiC5bHZ0VgQcFek0y uYKrQjUOgbZlJSzn9pmaIHDe0qAsiTmBrQkD/VMu4Hg4im8ywAsUKFyk2Ifq9GafipuKN7Fa8cEE B4RdOyfjQ31o7PMykht/V0g999Na+TitrilHuZc73SbAalYwU1PalBsgETqUSzZ3VvCdjEozUzsH rLsGnDV4a4xoDjziIlZwOa2yaqrMfpS++2Zh5uzfeZSQAsaEtjjXRTGs+b62jKY0tbEjt1g0rArW lnaaBFhY3FnxpwR8BoGPsbCKTeGDZzu9iJUFvEq5H9rdM0UU9Bej8f6/+Bf/4ga28zj0XLD6Ol2w 9kQrm5qV7TsTnUzkc5/73C1WqVxALO8jP/IjN/BuE8OLaHUxs3Qq0OW+A12gqLTFZKNdJjKyPO89 lAFdt/OZu0eQL3FIP3OTi8fOmrVZaIuApAl0dwkvT0dN1fM4LjOg2Ymwcs0ItNgLwegU3RSpQHPb 7qYgZcXOSgVPWgVmrbT27FmQ2WzHZbM8SBZRXITLscYrZuB4WnXr+2b8wz363IGkx1Bt8xwAlHU2 n+sDfAEXa7Q6H0rF8prrIrvn2LKGLBWxRAvNgYPxmhX8a3vrNyU0zmJf2kPR8dRYp6TrvTP7tlq0 ssPifyweWVxlLoC5mjjXsoy5wJeluWi8LLZE0Jd/+Zdv70KyxpIJ+vSkJz1pc3WB8SxxiB/rGQHJ hd/JgFAI8O/ouGSvEEATc4mFnslircxkp8vR0b5FlkhLG8y0peDN1mIult0UGJ6ZPy5NMRrUz2nK H3JN0GrBHJqV5oLn4k6sIYopY9jJ0sDGp7qimeVa63QOMuvG/vVcjIT0GKqP1fe0Pq73514A8ko9 CkYDOOctpgRzLeexrmFAR1GAjRgat5DFUfB55WuK1p75rjWGwJSyalOndbcCIuspykoy3pWxGA/V 48IExqeAu/6y1D/7sz9746uTxCVuLrNFyuSJ97zsZS/bwKqtkmuLhchVtCu9YfEC80PB94CoDCNi UfEs1KlZ1QH8uqf3BNxzATkCjjwUfdtLGi5PR0l8QciUDACZAQkv0x5gqTIXh+goJNcTYsKsrIFF whKrJgVNl2QFi1WBVtM6050gtW9U/59LV2wpQhiVQWj7BKlZ8jDbMK2sgGK6AcCK8h0LWC229u6W yEzFLvmALxSBq4R3BFugvSxrCpNbfdmV/u4HEPaJ0n4ZyZm9ndZJPG6TO9/pO0sFALD8ZDvVy1E+ bTT2c+8q17Pk9EkmDRC3WL21eYCKTLiWjPhpzzTf/5W/8lcujBWulqb3ci2FIdTNsebKSM9QBB43 OcieshxNxE1mucWTL94FnNzzVV/1VZvV6RklIbxnWuRz0Xi/Aykub97ITpejCyW+IG9gRVkIqLMG zWBVvRMy66PMupQtYCBwtpFRytBWHnPGic6ysPp+ddWaAWfGMeHtOoIHXF760pduQgk8c031Z53h DiUCUPtmuY9SsQTWE17Oo3ayABYtA6IYLd7t5Gy88mwJDQqr+NZaQ+4S4NJP91xm4XMxxYBc/1lZ Jhm84TIFxtOa0N7c3ql4aumQ//mdtaRfgBhgFSzvhJ8WDlNsVl2n3UTe3fmIua/cxGJjz3jGM7YJ Ep86dGIqetXjHcxLzoQCXvKSlzxg59u1PkxfWVisPG0TkAdYrK2WQbWdUtYY+eWqA11gz+VM/tea xRnfLJOtn8aTd7IH3G/jUfXzZwcjcG1YLR3vZRalaILKCRShJgAGVeGjgTZDtbcQWgsMG+TLuFsr 0PR3NVlAQLGn2Ihs27qp3pqljPpf7rD+tAAWlUQ4j6bV16lDUfE+32sLAGiHCCAmK8fKmuvcZrzp mIzhoWU8VWzjT26aNgCcttY51K/5DEBEUVua4j0peKn7mWVbaS6XKXubpadfZEU7AKHJpiVC0Swx qKYJgJg4v/iLv3hrVyBWxrIxnWMOBPUDH7iK3OZqDb1Pv4QBjLvxYb0Z/w6hOETrci3vA1YmSJ4J d/p2n/d48uoOWAmrv3NXWAAtCCUwTGQBYrMIonQGVhzm4z/+4zeFcEoOYTxUb7UCxiFL7FD71n2q CGqzPkEDAjZPk23TBrPnLHw8RIHZDPoTuuqvjj0J2b1VOecKR/W3vZfEiIAHRdVW4I/P80jxywbd ZzsmmeUpJ8sBb8QgA+ImkbZ2idaTlOe2L77r2snXGddJlta9pHLBcr2zzMiJLKJnyHC2c0RU/A1/ jYt4kmyg5U6HwGQWgq5JGmPQhpS1qTafdbjrpDnh5UrnmXiX57UHXDVt+wZ+l6ejubUW0rGwDACr yszE7RAvsMWMZScBW4WXsosf9mEfts1c1v4x15nVk2bcaC61OI+mYCb03qENZjMV8Swsws99ETto idGMC802nOWe6kd7aG3MGzU451GKry9zQ8E5GVBQ7TSLm+Ef85jHbO3scIWCuGvF9WXW0mVVRlLr 6r5KVBhLShsQzNjWBKCKMytV6PtDVHtnYH+1qnOjVmI9ASLWX6Ura51c79XuDow9FHYIgGc2r/cX d+qeipTXQ2uzIFt3WRKkcMTkQW5xtYFk8YlPfOLmjtOLWeG/0xUD1gSFOWNSKJvo8f+Z1ITK7Ga2 Fs9qe5hiNSytxz3ucZvl4Drg5to21GsGz004xi08BB4UXlW35UKsGlag5wNKs5vZunPcpos1ATOa igZUWCTtwTSDqefRrMCfSzSyJggw/rUhIuF+/OMff+q+zmzqoXqh82jO4PG2ReruFyxXm8XaevGL X7wVrOLVXKu3Kvo83v5QG6a1cd6p3PVhlgMkL/5njGTxjKMJ8pDb7u+U35iLMxlz8bm5A4Z3rm5u 7zoEmIF8gLref2j8K5sJyJtAubMSFLLoVfPvJQ13YMdRNKt2BbEJk0CkdDSS6lWbYoBcSyhmcLvK bq4OpZB1moo8BeQyNAXA88VoLMkBBAKxspidj1hl+Qw2H3oOmrO5uINPWz4f6xYm1GVFp+CXUS2r xhXUdj9nGybNvZ2OoVnE2POmlSPYbxwpOHfZBMRa4SLOrOu0tOYi3/No1uV1Xy7huiyrTDT+yjgL LbDKq/tbi34nD4vLaY8xkkxQkLrStLzaceNQHy5yuZPT9dnzXn0Xh7QxQGcXJAt7hvAOHEIxLSWu BwIAACAASURBVJBAzIAIisrM8P99gBCB4a9TgGanWZXM/ZF6LuC8uh295yKXcF2TSLBZKD5+p4hi WJICZl1WVnUwPtNamfGYmXXMEussRib+MQH3+lCWUQyGMk1LASgA1CrnrXl0cnDLcAK02pXFgy6z dCXFPLQrgb/jh0SKWKRyENav8eNuxY+Z/VrB45A7vfIoPhcbzE0uSG9yk6B5ylOesrlQYo5lD+cO pxNQsgbxRQzV+JoYxUvFBbmJWW2FKFoLiGrPdF9nnG2Wd8z/V+wLZItzRSxC7XCQqlivibJnRXsM 6zbuh3XWLAIU1OSoGlYMKDsjWyNY2uZ7Zr+2VgYaLB1pZ2URBIUy+9ni5qkQxwTdp3BxbaTBWzxL 4YAWV8c7AKpYlvibv7mHqwJ3srWfgI4bCFj1zd8+gclF2xXXLgkASqR9xZK0uzIGbXANK6Ejz7o/ 0FzjWMdYWIHUmk2dY5i7551AC1BQMLVTJp42ElwLTM9LWgTKFbqm4IfGU59YvKxK6wm5dqyRrNl5 Xe+tVGStzHcPi8xuGH7KGuqHT/v4R2s5xyEKWA8dRuF+YD6f13bLJnHjKGRiXJv05lKwHaxuY+Ho ecBFuC35EONhzRRAJuwAS8yqUgZZMLESoAEIuGeK9giS2dCsnhDMGMGsn5mKEmCYmblU3EBWX7sI ACyxNnVjz3nOc7bZFvB87ud+7slf/+t/fQMsAg+QxD/aBdVPMSXXAzn/lx3Uxk5gnjVgKAArxV99 TtaSn8C6Az+1UY2YBIT2P/axj31Aynsq5bogex2Ps2hdxH3o/pY24WkLgwEr8BR3bMfW9jXvYI41 a7jKRQA3Xdh4VREtq5MMtEcZBafwrp31WnNSKZAdHdomWR98xIy4uGS08RXTNMaHwHNN9qwZ7LUW 0Lv1g1ttotR2fWAleudZa1Xrz4yjzgLj4oYXjfEjH/nITcemV9IEfhW7mTY5zFUZvjNmbd990f1Z sPhULeDNxvCuBOIpHleCgFvCoRJa7Cj3i9AYTJaJQHs1Mtw2M9EnfuInbh1TK6UCuQzNnA1nKjq3 wqDkmvW/9rmabhNhEg8BDGIzrDwKSJC1nWL4zv99Or0a8BZANWDAr7bNJRezQrx3TmXTRn93TiPF xxNWBVBv90nATdhnuv5O0GoleT++aPeTn/zkTbnFKfFMUacyFvxpPSheNAbxoqxbRaHGu/3RgDNA LEsJqGTP5qnX6DIFsmeRCczH+Er0sOr1Ac9NKMXoKi2ZCYF4MwPwZVQBexsqmiBZ7A7uINP6daxS Bla9H4BrL14dc+r4G7/xG5/uPFHy4ZDbf7M0J4dcdu8zsXYA8Xnkev0Cqm1ndCvxu1sGrMxxFgNf nTvIcgJcgMle79wzpn4Vv8ANgMmeGJwWusogsq5YHSyxuXngdPvmLJgFVuau7Y2jhAaIcQ25N+Jt LEFLN+xE4DmzxspATMvOzNCmhAavmFjnCKa0a9vKwlFIQlyK3sLfXCz3e7agLBei1QTFyu4Urco1 9zwH+MaXpWrVgjEGWPpTKYTZ1t9+n9tHuzeAoozcYmPfPvN4BLzra+5j7blVt0lbhSbw2KRF5owb S1EfgFcFwfpAdgFZh6a2xz8Ar4avCRhYACsWse/bQvxmwIIS+8iKmrQ8e1bQn0X333//Jp/4O/dJ uyoraz4HL/DPmAoB1e7zqPpDOo9/M+FxM2spbxmw2h5Fw5n1nfpM8QkL4GI5IUF4sQUDAnEpQPtX 6ZQti5/+9KefnkIMFFrYPI/smi5hwJC1hZm5g1WXexfmEC6mrN8BFBdBGylarqVrzfaArz3kOy2I 4OsvIbeolsV0iB8dVQbgZLlYT4ScMrcpng8rtKVL3MH27Jq7G9xumhbF5Ot0Jf1unEw22qtfeMYC xSuKpW/GcN3r3nNZC5S6U7Xj6QQj9wJ9fKvvl80UH6I2bEQUG48RwDGeZEL7yYk2VOjZu4tV6n/9 cJ9JuOVIURbaWi5zHpUAIDNtAy6EUv3dzbpO91zhBoEBYJYzHWrfssvQrDY4lj+3xSUsPoXJkJRr QwBUHhMC8SrXGBAuICFpx08/56LkAqYYI1OVixizZl1NVOan2FHK53sANLf7Zbn1PG2r+K+93gEV YRa7MShtB1PgldASVkBcsLxM4NyhAPjiA6uRm0pR3U9Zc4lb18cyBWoFqOcC4tt9qkrKNUFrxp1Y HClrlmRWkc+aTVt361wpUFyvuV1LVWrvzAD6O0t/ytN57V+r9+NTO5YW15x0zPhlyc7zPntOy3mO AZP7bkx0c8fVqwCt+Yy5HVHezUVhi+RZv6bL+qDFsELNYkpmUWl5nROsVv9E6MWuimEAJD/nIZgI 010jFtbRWly4qpzXzOGMG3W2nM8UEu8WJxLoF5/izqUgBfe5bdYZSqWrkEeZwW3aV18RECPs3Bvt my6Mdgu8Mu2f+tSnbkCVMrYwl3WmHQBRjAhozROqoztxBNSsqztUQd92QVHB4KwQfx9SjE5AKpA8 aS6PaT3gmu7v+bfqFqcsM87YoRCVKhya7Wv/3Md+VbJOxEFzvWLAccz4dbzd3BopWTh0Ivohmu57 FKjerCVziGZ/Do3rIZqrOSrp6e+bKeu4ZcACJkBizkCUFGiJ01B4lg33od0dNJJb2CZmWVsJFdBj cQjICvSystpzKCsrZiQoBMt9fgaWnWjSUWKsPu8BUEDF/4FItVACsUo0PGdmblDB2SxFcSn7Sqn1 SdgmWNnPiWWFtI8b+aIXvWgrqgVW3GO7a9rqpS1U2nUgq+VOuIUXCUz9zjWqLqydIybgzWelRId2 jO1ny7fQPDnnkALeLK2WVaUP63pGNJV7tn+tzA9sZyHrBL7LWA/nLc9pcjiPfu2Ghdd6zMnfq6im X4uO0fRwLgLEttxB0xq72cn4lqVinnjSEUY6xG0SSC77wRUDOs4k1HlgBtS4Ys10MyBHqLhognwF RdG6lKb7ivu4FxApHxAn4o6KVfkeyIgPFEOzdS4Q82yAxtJxTYfFzg3zynTly0tZAx0gLF6X+c7d lWBghXXWYKUcrCvuKTC2TENW6VBKvnfeCVrT9fPvydfAs6B4Wb85Flmaa4bt0ILy/p59ns+abbkV mkA4aRY/15ZD167WY7IQoB1yb6fbe1EfAr0m7vhcxf9F97/WgePuryL2N5+VHKwJpWOst3nOQ8/T z1aLXHaMr6xyLUZPwatsQQNZF20vQ3mBiA5TbnEdHatTrQETgGSBcCszsdfCPx/PLzDMkgGK4mfS 7wYeuARUAtxczo6Rcq8V/tqjQh9QftInfdL2/HVn0DnjKWyUyhanYgWyzjoEthR/G8QBRoWy+s6C YzkKsrPGpkJMi+oqTflj6FCN1iFX7yxBPXT9+sz1vrNiLFcBVNFZltoKJscq4DG1cJexbs4a/1tx hR92hfw7xJebsX6n9dlEdzPtvO2ltqyJFhs///nP33Z2oMx2dnCgqp9cKEtS5kaBOgjEWDGsMBbQ uiZvLsnxNxAChiwbbiQBaNGpn57Tjp+yRWpJVFW7FtBZe8aNAzIsJdTmd80K8yAKVtTf//t/f9ue RVzKc1hu2icbCDj/4T/8hxtwcYkBpF0YVJKzHK9yJtxpp1cHuu2ABVDaLgXgcIscHEqBgZOYjvoX hX1cpOI5BVx9BLgBnWtm2ny6bJ7N/WLpACUlE6w7cSagKWsXZdKy7Fhd3EJum7gXN5KZ/XEf93Gb NTSvR9pTfUxHxwu+A2WApUxC3Ax4sqw61p57awcGYLUel7XTTjvdJYBV3II1YvlOhzCoMq+Aj7vE fVOMBthYQnO7XcDjHq4h62ceYDrT8HObEff4cEtnFmY1wzscVRU0sLIMBYh2tNahtYZR1l0lF9oF jKsA5mYW1+I6BlZM4TtRsrDTTg81uu2ANZWSG6bmiBWlxkpFO6uGcnPHWCVcRO6btVjcs1bvV3Do GWqqlBMoUC2TUwYIWMnQtffQIbCZuxxw4QAjQOG6sbY8X/tc84QnPGG7xvPXrUEAIPeTFaUf3EXP 8HENawwgAmplE8oYPLMYwA5aO+10lwHW3EuJsnKffIAA60Xsh7JzpVg3XDrunwxiQXIupd+5hpTf /22BIl4F5BBwYGGxzIBahzasGae5W2QpdPcAybYi8Xx1Y2qQWIbiaOvZddxPoGmHCrGq9l4qm+n9 AvNOfhGfYzV2b3SnMoE77fRQoTtiYVW/FInpyNxZtsLqAA5cRMoOCCh/i1WVJ3DP1E4JkrOygJAY mOsBTy5kYCdOxvKxdtDzcxuro5nZGG3RNuDJNWzXBsAl+ye76R5xMPcV7+LCqnaXDFBX1W6hPgGt tWvWB1blWyq3d96pxc077fRQoTuyIc/MhlVr0lFS1g4qOWDJAC4FnKwmcSBlBuJWLCslAFwvgAXE AEUB/dxMQCKGZJcItVhcOO6kuFk7AawVwO2kwEITX7K1s/IL77WrQouTVcUDGeCknYphBdmzkgBm CzyVLLAQ/T3T/SUJAu+2kN5pp53uIsCaFs1aa8L6AiqKNoGAAypl14BFSs7i8hHzmnsqCbCzZGTf 1GsBqc///M/fFlsLoLPQnvnMZ26ZQhnIgGMutfGsCl6BjXYAUWAS8NlHC+i5vl0JZgEk4AV2gura IkOJZg0XWuNpx4DVWlw3l8TsZRE73e3UEpyWHU2j5UFZmnOrNE+R4XZZeCxgbiM/i4RZWdy7DqmY haM6DlQ60FOZgWsqGxD8/qzP+qzNtQNo3NBOpm4P9fZyamsRn3YWraIZ8IhXzbPoJAHEuFh33tc2 Ob5rIK5ie5i1uG6C3q2s5t9ppztFc3KdMnszBagPOmCh1qSxOFhNHc8ujiUeJDbF3WPtiBW1tzpL CVixzAAMEAFG3Le2C/EBegL7so5Are2YARWA8hwuaMdJsaB82jqn7WK0qw3TgB9XUfv83nHycxfO XMBboTnAc+nGWYd47rTT3UbFdotlt0X4zazmuCsAawafW+Evw8ZiYcEAqtxCwNWx98AGwLmHBeT7 4lPtFQ8MlT/4nPf+Fvm260SLsIESkGCZdaYhkJL5A1SzNGEFqKtYXjOfuS5A3UsidrrbaU6yJb7m 2uNrCViTVotEJ5VB2NlBISgLiJXF+mJd2ZMKWCmJAGKsJO7j3Ou9tX3zANDelaWVyeo7bp3SCIF8 8TXgaVE0sBLLmm1cD0kI+Fo9fxX8KBY2F6L2jj2OtdPdTPRtLreL8kAuu2fXgw5Y8/TgFlrOjeTW Tc7ajlbWj9smwwikuHSsqbZk9fG7rF77sFd/NffQYjlhZntXAyRg5R1++rRTpf+3h9MsAJ3rC+eG aleRAdQ3WcsOfu3IMKDMAjzmqLGddnqwqAlXlr/93TMcbmaDwXvvNosqa6dz+qLWC7b3D+undYeT gIclMu3D05HhAK39xudqeiDTcVJ+ilO1rUfbN3dE+Xl9mEWgc0uNW7WyWJCynrm5nbjD0gxAd9rp bqVqHz/8wz98S6rl6dzsbqgPOmC1Z3sdmH5tawTbL2tN5RfEy/2rtkvcqWD1/NkmdPP5qD21ehea x1H19zwU41CMKWvnKvckb/94oKvtLC7WX4df7FnCne5mMsFKVNmKyQ4lN7PJ4V0FWOcFjte9eFZr pXsPBe/mzov9PLRV71nvOnQ68qFZ4az9jA4942bI3l1/5+/8nS1pAIyLyQW++/Kene52wFKqZMWJ 39tS+toC1k7nk+VIkg4sq1YIzEK8HbB2upup04DEhgOr1Zu5DO2AdZdTgf8ZD9sLRne6znQrh2Ps gHWXU6nfuZ92tWLtrb7TTncrZU3NsMuthEp2wLrLac2UFmifa7R22ulupfUkn0k3k0XfAesa0ZoV vFOnQ++0063QPEVpyu9deQjFTrdGFdBOv38W2u4W1k53M82TzOcByGgHrIcgHaoIboH1rRz5vdNO dypLmPyucnwzW4TvgHUNaQ+073Rd6Lwtlm5GjnfA2mmnna4N7YC10047XRvaAWunnXa6NrQD1k47 7XRtaAesnXba6drQDlg77bTTtaEdsHbaaadXL8CaG83bWK59zlu46wgtO3mi1r/N7ZDXdUXz9/Xs sp5ZBfgsRrMLp9qOrq8wzU6jtriY90dd0wZ5c22TnUv1zXbEdjdte5fZz/Vg1jbW81ynU3umPaxs Z+zQDJvvnXdqUP2NB7W379szfi7LaZ+hKuJdP/s5+z83GZyFe+sZims73Ie/fvc8/7dliPd49vru uYd+fPd3z/V3xa/rQtm5N9ncQ6kxxie8bVdZfHWSkXuNSRs61re5Hc8cZ7/jwypHK1+RHWuNYT+n nHZmQDvNkhdbWsff+rweWFL/W7Iy5d4zWyg890W//8ZGlO7v76mDs5B4yuaqR70rnncy1Lx3bniJ F/4/t4WZut7zJn/63rO7rjGL79qr7f6Pbwjv0CF9uWXA8hIHQMRwnSDAbTLvdwJu/3UNd8CDHUGR U27ah913TqWJWTrhQ2Ac8+V+HbURmGe2zaqDJ/wPc3XUNZjbdsqYrB2O4fKsBHOCxMaIG4PgXodb dE4h0NIeyonJjgpzSvUKJrXX9T7a5bQfQmX/eadAd/o0wgtt8A7Kh1yToOCr77UnkGrXht6b0NvX HvmfdzvSTH88w//1PaWITwmEAz1SDs9p7/sElQDik/24nPNoI0G8IWB4YTdJY0JIU3zj7brZVoKq Df6HD641CeA/vnpf50BOanzwAXm368gE/nieZzuF2/P0lXzoY4ATCLjXuLTNtvsmH+t7z3FvIBNw aSt59713+F873EbapX2uNcZ4ZMLGZ/3zUztSULzzPu0ky9rp+fgKoLUnhX/YjY0o3W9svINS+wRW 5E7f2pGXDHoOXiH3a7t78NeZBe51/gHZR53fadz9jk/uwR9toQ9zItPfeB4O+L+xJmfI73jRxFh7 yKA2eK7nu881hyb3Wwasz/3czz15yUtesp1c02kuXtahp201rPP2dXrSk5508nEf93EbY5zy/Lzn PW9jlu8+5EM+ZFMCg4BBfn7nd37nyed93udtWwU7Oedv/I2/sW1qZxB11F7RBAhjMaQ93DGtPc8d dPqUpzzl5F3e5V024fL9nBmQ92H+D/3QD5183dd93cm3fuu3bopP+PwP0Hrne73Xe23PcsTXPIL+ p3/6p09e9rKXnXzN13zNyY//+I8/4Fh67QFy7/RO73TyjGc8Y7uXwDnh+gUveME2yL77e3/v722g QWC/7du+7eRLv/RLtzMXp0U6LU/veL/3e7+Tz/zMz9y+BxLu80zj4B0sj7/0l/7SdkK2nR8Dqx/+ 4R/eeIv/nuXw2k/91E/dFCuw8l7P/KZv+qaTb/iGb9iOWMNn4xX/jIXTjD7ogz7odEycuv3c5z73 dCKrvc34lARP3v3d331rOzBoG+xJ7ePfvvsOuLVd9Hd913dtPKYo2tEYvsVbvMV2oK32fOAHfuBp X5sEjA2emigpkedmRTaWZEi7yKlTwOun+4EJvv2Df/APtvHW34/6qI/a3kW5AmttfOELX7i9w6lL 5Ppxj3vcKej9xE/8xNaO7/u+79smgQ/+4A8++diP/dhNaenS85///E2fyMtHfMRHbDIH3B51wwrR FnrnvE08MHZPeMITtoMeyMQXfuEXnnz3d3/3xn/t6UyCacGSBbL26Z/+6dt7gRU9Iz/G0Ds8O2vJ mLnegcT0KMAyjt717Gc/e9MX1Jbk3usZGTHuJf94Qj7JkgOQnYDV9caQTNG3DI4rBSzKZQD8bPCb bTJnM4tDdgMNkZ0GA7iyxAIrZLDNEgbZIalmUINFoVIqHc6i6dRm75kuqba8zdu8zQZUdu7s+av7 CKy+4zu+4+TLvuzLNoUz2P3fTAa4MFkbOire8z3Hfd/yLd+ynTBNkLt2HhDhOn3HKzOn3/HMtXiQ cgVKvvM8g4n8vwmg4730s5k8EKZUP/qjP7rxDnnOW77lW26CgL9NKATZTOzjua5PSPDQewkv8PY8 4Ofd+JSll4VI4AkjpdVP/QJuwK4dJjpH0Ucb3ZuFMg/5WPfg9z/Pwl9A5VAOfcoFovBZQtqpX9rg f8ALAHUegL7+5E/+5MYzz9ZuYzutI/eaQOJnCu55lJei67O+dT/e+R2RG+dn/tiP/dip5QpAUVYy GXGyuf6YyPAt7wKfTVKuna4VxX34wx++vUf7yBGgoEvGxbX4QD7plTbgU1tqZyHheweYZPl6HpDS Zu3P8sMj3+MD/gEkHzwHPPQpC0uffuEXfuFU3ws9eAcextcOl3EtHib/3pVVlfV6aOuZWwYsh52+ 27u929ZJDMMssx8CEpCYZaSROuh6pOMGvsNLY0qCmFICqmZD5qQOEUqC4n9+YoR7HXDa4BmY3EKA RRnXk3em+2GgWDwvfelLT48Pg/SdwuM9ziW0mX6nPGuHWZ/18ZVf+ZXbfQRIO4DqNNG9E2gA5k6c poiuYXkCMTzwv5/92Z/dAKN26rd3Z7VmUlNGG/vXL7MyvjbQ+ux7wmtczIy5he4hLN7pHdoVmOsr hQAS+mdioFAAj8JQAuOtX8Zcnz3XfYTZxzv8z/XGvFjFjB/hsfeuE0yxL210D+D+5m/+5g2s/F87 yJT+BQSE3//JhL/xF88KP3gOK8L32kCO8JxMtpgcv/HU6S65I1Np3JdbX4ySQuO5flL+r/3ar90s J+2kdN6HV1mBrjdOKff7vu/7nrzt277t1gZy7PtiO9qWm0TWXvd1X/c0/BAo45/rvMv32gT08Jdc kR3XGLO21NY2Fr2zNvEyz4jMeY9rASl5Teb8L5A0PkDYuDMm0k/kefjeM4tZaQMLUJtQffTd93// 929tfru3e7vTWC8e0bMrByymqIMSMBOzuCNMbsxjUn/kR37kBhjNrjGNUhZj0XHC10y2Nezee7eG UwrXpVSdSxhQJeSE7FM+5VNOrS//I0SdAO0w1Cy9hLOYineZeQ0IgfH8xz72sZspDqAIpP8TCoPR MVu++4Iv+IJT99H/3POYxzxmM+cJt2dyvfTBs5jDqFmaErkOIGhvgX3Pw0Pfe9bTn/70TUkLbANH 15sQOrMQT1g3uTf+xh8TCGUmFKyt3Btt8zz8LymCHxTuxS9+8ebauJZwP/7xj9/G2pjiFyHTL4KN t/iPvJ9SJqgsr4/+6I/eBFWftVN7tW1a1AHWBAgCr91cUtYeHuKxZ3KznL7tfrM714Ir5foO1eW6 +7/2xR88JWvv//7vv7l+eJrVmrXnu4Au+Wry0XYAYbLBZ31NNim20AWZ7SxMbTbO+Gq8KKLx0GZt AlbGBE/JlE8Wpvu13XsC0Pvuu297HqsEj/2d7BQU75ASPCfHLE3j1ERFh3z0xXs8RzvJvnaYSLip xptckBNAzM2n4z4mJWDlGdpSnAoIfsInfML27mk86AtZzSrL6PA+oKodnQ8KpDu7YI1p3jJgeZFG tO845mI6wuxOUM4dzFQsOIfJ7p/Zj5TWNQXbOzHG72X+CEaDgDGEWefd6//ePQONJQJm9sp93kMA DQLCOAoIiDGaYnVwajOsQQAqFMnAGQzCQUnEzAJcs8R7vud7bu/pHEXC4VOMgAK5P3fTsymdvmdJ 4CV3pL4QrniO4h3h8Z372kYZiHCXxAw/6ZM+6QFbLPufmTSF0F8KxS3xTAr1YR/2YVucRjwMb92H 1/hC8GdgHFCYsBBh13YWFoXKOsBfzymmNTNbMymCf9/+7d++uU94g6/PetazNoseiEb4+q7v+q6n z9J279FnsoV3/pdbQoZ87xks1DUjl8W3bn/SuZAdqsvyzirRb1YgN889rDfAUhyHrOCTvmhXriL5 aKxK9rjHtfpVPDjF/cVf/MXtuuTRuOlLVpgJMJcbz3kJ5NjY5Q5uin/vvad6FjjO8Aw5J5PALCvO WJM7FndJl+n+eh/jpLEo8F42kSw01mTDs40vuWZdeTZ3HQDj36FDKm4ZsBJ0DYSYHQOPERqVjx6j ZowKc3MjxEoAEKYbcIrMHTFj6ggGGtiZvSIwEWYThrJgno9ZFK6410yjT0srH9s7/V97xKU8k7IZ 9GakBBmgEE7K6X+Ez6ztfR3EGm8oTLNmKVzvZaHpG2EgUA2otulbZQCUggXh/uJ42uy5BASVusZD SsX68A5g6lrvkRSQpKAM/qZE+gTkm21zrbiQiBXClTSO9cFzOxxjpuTL9BHosqb6iJfGg/IlvICC YBa7CRASaONB8YAAIWbxvMM7vMOmfAG/ZyFtpyzexzLUf7zUl8aaRW888VQ7jWFxl8bEM/C2rGdl EJWv1Db8osysqyYZz8c31wsJFIAvRmMMyTB+kC/veud3fudtsiA/2uzaEkaea8xdq8368/KXv/z0 MGDvC8iMQ649EMjCwkNJJFZd1yDXmXAKobin5ybfeE6f9I1Msbo9B3ixCIFMyRPv0T59+N7v/d6T F73oRdt3+pjVTFa9k07Ea+8kB8bAdf4HBE1M+H/oKPsrqcMqMGlgDGKxKC/VsBl3aeAJU4Fvv8ua hPi5E9XT+DvUDbAMqEFLoDzjMz7jM05LFwoeU1zmbZTSzdOaPZ8ZTEkxHlhgOiB5x3d8x03IKMx7 vMd7bMLqXmZyloS/DQblziRvBozpsx7FwBJEf2sLHuWaoOIi8UdmCvDMY74I71/9q391A5KsRjyg 5ASJYFFu/f9H/+gfbUJBQbmvskqVYOCjPvd+Ake5Cvoy8cuIzhqhZma8q3TEd97P2qjEAu8+7dM+ 7TT+ov/k5G/+zb+5WaQz09rvWcL4a/b2DhYvy4oMFOD2rGl9GIMAkFxoZ26Td1Zr5DtxRxMi/mYt eYcJh8JE3pGMNX4UlpyRP2NlLI2HrJ1ryBI5AdJkCu8pOzBkveKva0xyFD9+AoniXf4GvvgWb195 wxhAWYraUclNZSq1V/v0s7hhGXQ8etrTnrYBVhOdaz1DW8hari1Q0V5xRPeTN3zCgxIoGXaEfQAA EtBJREFU3uk6ukXGnvOc55xmxwNR2U4yBrRLwJVp9F5grV2eq8+H6iyvDLAija5exqyXuzALRBNG 17GSypz43nc+rq2wMfIss4T/la1iHleHU91JbkdkVvZ3g5hwF3zUBsLFbSPUXMOyjoSQUBM0yuD/ 0t3AyzOBivYYhIL61an0jpQ8VxYBIs8OoFzvHVlUBVX1Rx8D9aybbeDuvXcTsqw1hAdlKIEN6wvP xIDMtPrFymLN6QveuZfgZKI3yyNjQHln4Hrdk7u4SW3Ija/ItDb63XeVL+CdNhDi+DNJGyopKUaE z55VTdccT7zMFaosBg+aIOJLWUHjzEouCF+8yTsCkH7ODKbfKVS1hsUhKS1lBabq6fSLa0rpjbUJ LpcNrwGWCdH10yWrWNl7yGU1hvEbldV0L73Qz0IQ5CWw9owSYPWhUg780C5gre1+j4wZkC2+i7SB DnD3AK33VjCLv2UWvTtPqzAFXnmed079KJaGVxVD975DBx9fGWDlEuh4bholwNBDfmgFfzpabRPT eKZxdZwwqA1BAKFYkvf1/4L2TE7xgCyn3BNZiJmxQ7Psondi3Pu8z/tsM6xMExOYZWOGJAR8de8Q NKfAWRLeZ0AI8brH+nqkfVaje83KKUCBXANJ6PClsgRCwlJy/wRA9wjGV9tD4HwCeYrHMsIzMylr Bd+BF56Y8WsXUHM9odM2P5v5/F0B5gyQE0aC6V7X44P2G3/vcb/x8C4zJ+FuQsEr1igwzLJagdD1 vTsLQxunjMyJB79ytypAZY15V1mnViHoC756B2uh9D5rkgVRP2vTBCzPpWAFlbWRNVJsR9ZPYkI7 PctEQS+4i6xF1or3cAfJUbrj2UC8Uh7vYFFymbLEH/awh23Wj0lHf/SNXhSqwHfPyOo09gBmToR9 L2aUy4ZnZS0BGCvHc8m+scUP8qnmzPOKH2orHaQHyERYaKO4cxY8WdWnwGpSCY/G08RWsuy2ARYy MAbQy4BIwjWXIWgQAGiWNBgGWIcIWGRgDXbulGdhdECE+VkJwI4CsKaqO8mqw0CKU7A4kKjNlVV4 TwynZAYNOIkjcFcpDpO9uEWWFQHyXd97PwUp0zFBrJokip51lllPqf1t8Odsx2UQG6tGKh4SQPG1 BMB9BLaEAmHEM8KMLyxFfQFcxecIRC6d5xeIrcCwiuVKVlL4SkKKYZUhyzVoiYz3EnBA38yalUXo ix0dokAil8x9M+Cr/64pjoLnMpf6513GprIGCmnsCk1wk5/85Cdv/KFwWUvkiFUTpUTJSqGGEiG1 oaSA+z/gAz5gGzPvqnodiLO+9AFvALW46GqJu4484itAkejAp6zSRz7ykdsY6mfLf8ruojJ9SPtM dMIhM8HRxJKulUjIOvU8/DFxA2JlDHiLV3QUwBdn9Z3xTl71KeOjJWkF3vU5YJ0nPxur4snpC1k7 63CVK8kSpoiAqCPVKWDZo15e0JmQZEFgkMExMH6fy05aElC2hhD2d0taKKZ7MRNopRSzfVkhWTlr bQ3S7tb+NdgYX41JzyTw7idUBJPw6DerzAxv9izY7h7fI20v86H9AKtYhYEPKLTB87bBuffeDZQo PrAO+H1fZX/8z7ptzRze5TK4n7Word7NenR/MYbcCr+XDUKex3UCOBQ53lbwWnGltvmpDVl4xrkZ Hp8q1CyupO2uXU8CakLRfpNexZAmhu/5nu/ZnsnqmOsLgTXlknp3nfuMQ8uhKnjMxWP5KI0IUCYl l3hTqv1UWW54C55ZHA0BSbIuNkjZyQb+VK+Xi9TkakL0cx7OUMY2vtIffDdxzrWAr/3ar32aadWP Yo/FTsv0aY/7s7DmSUsz++m5eTzpYxagMSU3+OvDVfTOxq46q8ZRW7i6+pcRUP/p1CykXieB+b/5 /5WuLIaFIcWUMMvMFqLW8OJUZjs/i09wH+dyEOT/hCwBxrxiWJTNTBLTACBz2zMKtofW7jPTGohS 11EzG2uO1SHOACAIs0EmiAYJwz3HYFE+wgJ8svgICoX5ki/5ku3aal60iXVG+dTCWL7iXgpYcWXu WIOkb2W3PJswERrtSKjwFXAQjpYalZFq4FtK5JmUA6hTIABknIrz4UtrM31c6wPU8NYyD8/GJ0pk JhaYxy9jZAZnVeBPFlBj7W88ELdpGU3B2NymFL9xblLxPWuXEgBC/VfYWzazzGvFjIpctQl5tlq4 Cg+nLHkunutzypvVWgAenWX5oUIA5LyJDK8BKX76npx5f+vvGjtjRh4LOCeHWTlZ6SaO4r+oNr78 5S8/LYCtGLsYF/AgyxV7ep5JKkOhyS1wASy+80zXIhMT+dUX7//6r//6TVZNXjK2ZF49of/hfVYh Mt4m7ZZhZVV7ftn65BzV7vQyaytL8LaUNSRsxWba2YBw5xLOYGGFdAXBDWjuyNagGz9T6iqGSzmn xJm+rjeAZleCW1aouiuzHvAipCsD/F/gFdh89Vd/9aaIZm5rzgiud/DjM+MTSMQqNJt5JyvKx/Vc L4NuELgBYl+E2zNYgf4H1Cih71oYG59SrnjGLS74XCA7a+ypT33qVtCJSnmjSg56Bj4HxILA8ccz vbsCW88EbAQSX4CNyUX1P8DI3WbF+J/7CL2P+ygRhQnEtd1YN4l4b7sYfMzHfMzGj2mpPEAwb8Sg rMHTfmOEt3jALUrhW/FABjybdSAWadyNoXfhi35UZElZk4UmynUiy2qppGHuntESEmPnveQcELFm 2hXDGJlM8Nf1+IF/eAuw5vvoQpM9og946hnGNcv03hsulOsrLWlSSmdadO4+YGUck/WW5wA5a0sr 9sVT8ohavuN9ng2gtJ9uqzk0GcicV7zcGkf3yCSyxPCjoHv9VJ8oyx4mFJaZxcJZW+fRlQFWSwuK 9jcDrenqqlwztwlQsZAGz8C4purZACs3oJXnBUcBRdd2f3EOs4VY1DzMcWWQQVXM17IWllWBTkJJ GFX9MpPbSoXQcxsBhopvSux+hXAGsfdlhUWVN5RVIZz6NrcqqS9457msotbDJbQ+hL94QrVP+K5t 2pm1pS0UAGBZiYCqFfPuEgaIVRBgea4++b2q+AKzfgcoZVrrI8FvxgT2gK0Aausp/QQq3hNPpguQ zGgXvrfWsViUWTzyXDyhXBQQCKobY4HlAuoHGfHemW2cMcw5mWWhT5qA1WJscqu/2llCpqyf672r oLjnk3WTHsCY/fTTmFflTm/I3WxHtVm/emOFRwmjuQMJHrWDA3mQIZxZ1ECLmymDXFkPsGxbmOom jSewBU7kz6QJoACiyatCZ21pggJWZKWdVJqo8BpYTbwo2TDbt243tG55dCWAVU2FThCEFtoawBqe NdXvxTAMJKXHhMnAOlsVvY//V5fUz9Y6nUcsIYKz7u8UGRyzMmDAtGqICJo2U3SztZohbZhmvD6q HGe9qJlp+UcWS+sHBXjF15pZW1NH4cvkpQz+hy/4WDaUUBIW7SdEzHA8iYdtCeKZnoWn2tAzEVeW daX+BsBW7EfJmggKhuIHpdEv1lWrACpPoBDeoU8ApSpqH2Cpz1kBgVGxR98Dlizm4p+nAjmAw9gI 5BYT5faxWAv8F9Q1LtpCKQBCgfOeRdnwhRLjq2cVFzqUOl/BqomkvuOpfuoHZQeQ1eBNb0L7vM/k 6uOa4nJdQ17cg7/kyXXcpyxMRF8ChV//9V/fnlnwHw+TqVYDVPOVBZMuBeD4Vf0XajsegNWa0Qj/ TeZtH+Mnq9K7taWlWy2SLt6bJapNLM0ymnO8pzFzyLK6LVnChAKTP/mTP/kUcQk7BszV937qHHeA O9PaoWacuZaQVfOJn/iJJ3/5L//lbVCrrO1/LIEnPvGJFx7G6B2VO0QTtMyS0scGkTJT/mp5vM// 3a+NCXmB+1LttnhhKhc0bQYkCFX7V3joe5YO4WxtZAtC/Y/lQUhaGK4NBjvrldAAL/32zvaVsraO ddGSJIJXZiiqulwRH8rKKE09N96jFN4FrFlZQLJ6K23CE33ImnQtxQXKxTRS4ASz9DreEeJDMYpD RJbwUVsoBh57r/fgLfCr+jwZCfz9rdQAqPquGNZ5MapJyW3jl/WYFffMZz7zAYuMUcvFjNHf+lt/ a5uQtdc15GjW0uUieR4QAKrtx4VyBat2f8ITnrDFQ8v09SyyqJ+5eSl7E1Yy6+N/LftBJlQ6oL3k o5rAeE8HXRPP2ivMZOd91d1V/1YdX9av/5nEKhptZ4YH5SDVshMEgzUzaaYrUcowl6qEtoFIfxuc VuOvpiHlKKV7kc87ralZXhARQoLWkoOKWbX5rC0u5gxR9ivQATRAw72+KyMzZ5MWG6+ucjs39Ky1 77Nqvutrn/YTrjWx0P/LurZbxiEqrpWpbpLwOwGtNqwMZLGdxij3eS61mVXoq2VbYPgi4MgKoswV mXbv3IJltdQCVtdQLkq+ykG7l55Hc5VGC/f1o+Vea9xrdS+zLOZ36/rJLB8T1Xwefue6o/vuu2+z frK81sXBxmnucLC+Z+Vr7zXO632zZs2ENtduzsROgf/AsPDQlMMpw/Po+rPadlsBK9en3Rsx0O9z zdZs4ASlFGAu+4jWhcpz50p0LEKXENg6eyDzkJ9d3KHlL71zAs1a5DirdlMCQDUrdtf4Vdmw3Iyu CdQLThezmu5J7WiWzIIq3ja3yC1oXDvW8oFJLYXK5ZvC3Lt8DoFObmTta9xyA5u05i6U8ecYC6uU fHxBxdHKGM6x7v9RO3RUwjF5dIz8lOCY2br6PZXy0MRWm9cMeJN18p3sBTCN5+oSPXyZfGtL8jK3 X+67dYVJ7Z4ThWc0sVbnOP9fMWex4do/9wuL1gr1spNRXtWh7a+PoSupw1q3CJmz1qHBitbZbVW8 uZyg++eMg1KWsyjFnzNwg9eAzpqRSXMGK2g5B2j2eyrB7HODm2CnwOv90VTkhDK3oJhW12R9HHpO yrQKVDxba9GmUBV7LKBf/86yVg9Vqs/YRH/fjAvQ884CuLNm6bkWbd6bm7paQmdR5QRNyPWnYs7z aG3zyqMp07PdcwJvUprg86rhjcwNK6Ozsm1TriZNmZ3P79qKOQ9ZnjPLl6w0cc293Gf/zpP/2w5Y uU+H9q6ZBWoJT7NlAzOzd/ParJCyODFl1nDkC19EZynsCgYrU2d/Zlsn0+d6x9o3BaLnN3DzmfMQ hFkjsyphsx6aBw9MIWv2TCEThhVkDlllU5B7T/04pNTTAlx5FlAEzDN2MotDm9UvmmHnrhqT6kf/ 77NOQjNTOtvezqvHUBbdfG98netWu3YCTl5EwDfbMkMFczKcz54W4StuLKrv/tVCKUwwNwiY9/fu vIdctdUSm17J5GU0kzlzcp5tz0prfGZ8tGselBjWTLv2M0FpI71pBawm47pGLsoPnhW5ZQfnrLlW yB6iCYrz79n+3pE70/fNrCtzp8JHWW5TYA+ZxwlRC3lXq3Eqe9m2acXMawll293OfiV0WVn1e5Z0 1I+zLNB1QpjAOq/r9/q78mq2JeXI9b6IVlDs/X0OlR+s1l+KXnZ2jXedR2ucq3uzuM/qQ2A6+Tct jybEOYmv7ZruaIBwzxhjYNV98WXyvsJtVHtnW2a2sphVgfN0uCC6d5PV/j/vnUve5jvmpL/Wuc1k wh0FrEN71jTDVn8z3aEZ9+ne+X8dbkaqkr0K6bVWpgE/j2bZwwqKWYAp9PqOOQuvywoSjGkBTqtj uhH19xCo9Px5/Na0eAJnNDMx8/76tbrUAdF8Z8I13bQ1DlTs61Ch7fqs+LYCU3Grfp8z8dx+5zJ0 CGgOLfdYx3m6IMlcy1suorm8rNKGNcyRZbtaGFG7GhS/SeZmbdcEo2lV9v+p/L8xjspaJ6DAp/HL SpsTVHxsPGfMatZDBaZdXxnJDDUcCgmkc7OMaGbXp6v+oATdUTNNgzmV9PRlixKsYLN24DyT8djO nnddzz8rFrHuNnnRNZM8c85wh56xzqYrrW7pGvNbFXhty6F+HerHWfGni+491J+LeLYGdG+VLpqw 0KE2HesOntfuCZCHeN17z4oxniWjhxJDkx492n4InOf/13df5IYdGtP5jHiwBtrPan/Xze9uBqhO 773pO3faaaed7jDtgLXTTjtdG9oBa6eddro2tAPWTjvtdG1oB6yddtrp2tAOWDvttNO1oR2wdtpp p2tDO2DttNNO14Z2wNppp52uDe2AtdNOO10b2gFrp512uja0A9ZOO+10bWgHrJ122una0A5YO+20 07WhHbB22mmna0M7YO20007XhnbA2mmnna4N7YC10047XRvaAWunnXa6NrQD1k477XRtaAesnXba 6drQDlg77bTTtaEdsHbaaadrQztg7bTTTteGdsDaaaedrg3tgLXTTjtdG9oBa6eddro2tAPWTjvt dG1oB6yddtrp2tAOWDvttNO1oR2wdtppp5PrQv8P4iiwJS7M8sEAAAAASUVORK5CYII= dataset EPSG 6.18.3(9.3.1.2)