20260512 16233900 1.0 TRUE Edward Starks Federal Highway Administration (FHWA) Transportation Specialist 1200 New Jersey Ave. SE Washington DC 20590 United States edward.starks@dot.gov 2025-08-12 Bureau of Transportation Statistics NTAD Program Manager none 1200 New Jersey Ave. SE Washington DC 20590 US ntad@dot.gov None. No fees are applicable for obtaining the dataset. Open Data Catalog 1.1 Hosted Downloads An ESRI Geodatabase, ESRI shapefile, or spreadsheet. ZIP https://doi.org/10.21949/1530052 Bureau of Transportation Statistics NTAD Program Manager none 1200 New Jersey Ave. SE Washington DC 20590 US ntad@dot.gov None. No fees are applicable for obtaining the dataset. ArcGIS REST Services Directory Feature Server (WFS) 11.5 https://ienccloud.us/arcgis/sdk/rest/index.html#/Feature_Service/02ss0000007v000000/ complies with OGC WFS Map Service for visualizing geospatial information https://doi.org/10.21949/1530053 National Highway System (NHS) 2024-01-23 2025-08-08 Federal Highway Administration (FHWA) vector digital data National Transportation Atlas Database The National Highway System (NHS) dataset and its geometries was updated on August 08, 2025 from the Federal Highway Administration (FHWA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The National Highway System consists of roadways important to the nation's economy, defense, and mobility. The National Highway System (NHS) includes the following subsystems of roadways: Interstate - The Eisenhower Interstate System of highways, Other Principal Arterials - highways in rural and urban areas which provide access between an arterial and a major port, airport, public transportation facility, or other intermodal transportation facility, Strategic Highway Network (STRAHNET) - a network of highways which are important to the United States' strategic defense policy and which provide defense access, continuity and emergency capabilities for defense purposes, Major Strategic Highway Network Connectors - highways which provide access between major military installations and highways which are part of the Strategic Highway Network, Intermodal Connectors - highways providing access between major intermodal facilities and the other four subsystems making up the National Highway System. A specific highway route may be on more than one subsystem. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529838 The dataset exists to serve the Federal Highway Administration (FHWA) needs in highway planning, policy analysis, and visualization of the NHS database. It is intended for use in understanding and managing the National Highway System, which includes roadways crucial to the nation's economy, defense, and mobility. Also, the dataset is being used by the US DOT to reflect the FHWA-approved technical correction for NHS and STRAHNET. Acknowledgment of the Federal Highway Administration (FHWA) and Bureau of Transportation Statistics (BTS) [distributor]. Edward Starks Federal Highway Administration (FHWA) Transportation Specialist 1200 New Jersey Ave. SE Washington DC 20590 United States edward.starks@dot.gov National United States USA transportation ISO 19115 Topic Category NTAD National Transportation Atlas Database Transportation Atlas Database vector line linear Roads Analysis Network Highways NHS Highway Interstate transportation National United States USA NTAD National Transportation Atlas Database Transportation Atlas Database vector line linear Roads Analysis Network Highways NHS Highway Interstate The NHS Version 2025.08.08 database, or any portion thereof, can be freely distributed as long as this metadata entry is included with each distribution. The original metadata entry cannot be modified or deleted from any data transfer. This NTAD dataset is a work of the United States government as defined in 17 U.S.C. § 101 and as such are not protected by any U.S. copyrights. This work is available for unrestricted public use., The NHS Version 2025.08.08 database, or any portion thereof, can be freely distributed as long as this metadata entry is included with each distribution. The original metadata entry cannot be modified or deleted from any data transfer. This NTAD dataset is a work of the United States government as defined in 17 U.S.C. § 101 and as such are not protected by any U.S. copyrights. This work is available for unrestricted public use. The NHS Version 2025.08.08 database, or any portion thereof, can be freely distributed as long as this metadata entry is included with each distribution. The original metadata entry cannot be modified or deleted from any data transfer. This NTAD dataset is a work of the United States government as defined in 17 U.S.C. § 101 and as such are not protected by any U.S. copyrights. This work is available for unrestricted public use., The NHS Version 2025.08.08 database, or any portion thereof, can be freely distributed as long as this metadata entry is included with each distribution. The original metadata entry cannot be modified or deleted from any data transfer. This NTAD dataset is a work of the United States government as defined in 17 U.S.C. § 101 and as such are not protected by any U.S. copyrights. This work is available for unrestricted public use. National Transportation Atlas Database 2025-08-08 Bureau of Transportation Statistics true -159.465967 -65.63071 70.206526 17.966378 2025-08-08 Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362 Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details. An inclusive work plan is developed including a project management plan, detailed work breakdown structure, project schedule, and performance metrics. The extent of this responsibility includes the arrangement of an initial meeting to facilitate coordination and planning, addressing any emerging matters or concerns, establishing clear roles and responsibilities, and establishing a platform for inquiries and responses among FHWA, FHWA resource center, and the State DOT representative. This involves processing technical corrections to the NHS geospatial nework, including updates, additions, or removals using the latest HPMS geospatial entity or ARNOLD geospatial entity as applicable. The main tasks involve the analysis and updating of the NHS network, and the utilization of custom geospatial tools for improved efficiency, such as carrying out various edits like updating route numbers, NHS classification, and geometries. Deliverable for this task include a finalized NHS network in digital format that include all technical corrections on existing NHS designation, adding new and approved NHS segments, technical correction to STRAHNET. 491781 A data dictionary resource of attribute information is accessible at https://doi.org/10.21949/1529838 /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD2ZJCD g9KJGIIIPb0qLNSxuCNrciuqpT5kefCdtCuxdvvEfSmndtwQCOuKnkiKHI6VErtG/Qsh7VxXlGVp 7HQtroadqoSSSzc4x0puS7rGWzE5+9jk+1WHQkl064x+FZs9xJGBHHbyzKp5MY6H/wCtROLRrGaZ ZUCO42/NtHIz6VdRGaNsfdIHJrHW9lGGNhOW5HA61oJOz2u51aNj/C3UVhsAFC8ZPYscfhxUTRI5 dG+9sGD71ZyBEq9sZH9aq/Nlhjlz+nX+lF7MOotsXltiGPzqefapoizJuPHpTbddkkoB2lyCATxU qr8gUfU1TZRZtH27kPUHPFXao2y4kZW4NXh0rSOw0KKT1pQaD901QCDoKWkUnbRQAUUoooApXmnr fsFnZhGvK7GIOaitdGhtJEkE07OvPzPwfwrRpc0AIelAAZRmg9KF6CgBmwB8jj1prKRKCoqUj0NH SmnYTVyrf3MNnamWZiEB6hSf5VnrrmmIFJuduRnlGH9K1zCjyB2GSowPSq8iIJCDGG7jipk7Kwml e5HbXNreQ+dbyCRc4JwRS8BqkthE0TqgUHOSBxzTMbWIYVlNCYu1CeG4plKSCeBikqGIKTn04pWO aEbGQaunGMnZsmTa2EOcHHXtUGbnHRCfrVikqL2KGoX5DhfYirCzYGMVFRTuFytSg4NJRXsnnllH Djaec02SEYBHAHaokODVlW3jFY1IJ7m0JFQ8EMpqpc3k1mscqygJvw8e0fMD+HWr0sYUZUYPpWPq s8RZIpYRtAYhgeQ1cLkowcbnbRjeojRdy5OGbGBtwBSyKGBUsScZIwKzYNWCW0ZNpdPJtxlY8g1f s2e5ZZERkDZ+Vxg/Ss1dhJWbRaSDFvH87ZK98VCIiQzhzlSQOlaRhO0YxkDpUDxLDEWlIVOckmqk mtQd2VCjna285zt6DpT4w77f3jfhikjvbJ3ZY5o2cdOadCQrntmpTQNOL1H7SHO6RvY4FWofMdeZ myPYf4VBN/qWJHHr79KSKUoV59sValZ2C9hFln/thrfz28sx7h8o4P5VeEcneZvyH+FZ8p+za3FK 2Nlwvl5PYitPPpzVQe5rPo12GeW//PZvyH+FHlv/AM9m/If4U4nJznj6UqtkkVZmN8t/+ezfkP8A Ck8t/wDns35D/Cn7vSlwTQBHsfH+ub8h/hS+W+P9c35D/CnNkA80ANjqKAGeW/8Az2b8h/hSKrMv yzsR6gD/AAqQ8o30rP0TiwI64kf/ANCNS3rYpK8Wy4IpB1nb8h/hSmN8f65vyH+FS0dRTJM0yTrr K25nby2i3AYHXP0q60TdTM3HsP8ACs+ctH4gtWK/K8RTOe+a1jUxd7mk1ovQpA+U+5FLAA59aa0q SOeG3f3cVZJVc4Ayar4wOuMmpk+jMWyMMrZwc4OKWkktdzGQEg+oNQysYYy8s6oF7kcVm0hW7E/f im9TgVRivp551W2iMiZ+aVgUAHt61fWN2OXOPYVrRpqWrJqJx0Y4ofWkwQeaXcyff5X+8P61GbiJ 3CKx3f7px+dbToxafKtTNSa3H0UEEHnFFckouLszRO5Wooor2TgFHBqaP71QVIhNJji9RL25itYw 0oY5OBtXPNYlzG+qzLBBbSRtG2XaQYwDV3WXCXNkzKzgMSVHeksLqObVp2XIV4hkMMZIJryK7/eO J7FCPLTVRLX+kNn08W7YsblkdQMqTkH/AAqIXzQMI5fPScfwKM7voa03wX4By/HTpUUlvNFcC7hR ZTt2shOCMelSk0/dCnNTdp6k8F1qEKkNYTOSc5Lqf609bO51CZZL8COJDlYAc5PqTSWWqvPeG1e1 eJgu4liOKvyypEuSck9K1SUldvQcpODtazKV7Y20gCGBMDoQMYrKeweEF7OdlI52Ocg1uiRZVKlu TVSYhGxjoKzqQV7mXtJLroUE1jMXk3UTw7uNzL8ufrWgqgKGGCOCMVGIVlJDruUoeD0NZt1FHpbQ TW7tGC4Egz8pHvUttaspKNR2WjLtw/8Aa919lPywQnMjA4JPoKYz32nTKlur3FvnIQ/eH403SpGn uZrkhY45cAKSM/WthiojDPg44Jq4rm97qaTm4vl6FaDV/tKEpaTjDEEEdCK0IW8yNWKFM/wsORWK Fu9MSVvs8c0O8ybg2CAfatFtRtooFmkkVVYZAzyauM/5iZ09fd2LmKSSRIoy7sFUDkk8Cs1dVnky YdOmdOzEhc/hTRbXOozK97GIrdORDnO4+9PnvsL2dvi0AayGLSfZZmts4EyrkfX6U/8At7Tscz7T 6MpX+daJVVi2gAAcACjC46Ci0u4c0O34mbLqemXMe03iAeqtg1lwT2VrqLxLeKbWZS24vjY3/wBe ujMMLHJjQn6UxrS2YgtBGfqopOMn1KjOCurPUyze6UuQdRb/AL7qwNe00AAXIP0BNaKxRIAFRQPY UoC+gqrT7/195N6fZ/f/AMAwL3VrF7uzniuFbY5DD0Brf3q8QdGDK3IIPWszXI0On8qvMi54ptpI NNuTZzHbDId0DHoPVahNqTTNJRU4Jx3NBASx3UzILncB9arzy3FvG0sjQ+WD1/GkZrmNC8nlYHJ6 032OblY+7u0trcvI2Fz+JPpVC3tnvJhc3a4Qf6qI9vc0yytxclb64G+VyWUHoo7YrTyCeR9MVEJJ vmkVN8l4x37/AOQ/hRgYAprP2/WmlWA3HJHrSbsn3rolX6JHOodx5UPGV3HB7g1B9iUbissmSc/e qYcA4BBpVBfvirVeNvMnkdxmdqhGBDDp3zRxVfUZhb2zOD8/RAOpNLFJLFEiXCs8wA3MvQmsan7y Wm5rGDUbiUUUV6Z54U+PrTKki5NJgtypfnGo2TA5JJUj+tR36y/2haC1UG4Cszk9AvvUsoDa0oOT shyMdiSadA4FzqEpOWBQfgFz/WvIrWc36nsUnyxTfRfn/wAOUoIL+e7f/TCjZwCEyv5Vpro8sjf6 TfTuOrKuEBP4UmlKxA3dxn86vyOQzDkZpxhG12JVZf0kZ76Qtq7S2NzJDKRyG+cH65ptrePPI0dz Hi4jHIHRhnqKuFsofX1rPubeVJ1v7fDtGpDxk/eFS1Z6DU3U92X3liaTbIjRZOSM0ze5JGwfiamt ALmATxgBSucdeaY5A3OFLAnkKM4ptGMk07MjViGGBjtUOsqr2ke0fKZEBH41YjZZGC7JFA7suKjv reWWOMx4Mkbhwp6E+lDi+Vo0paTTYf2RYpkG3BG3qCQc+1QLZXboyfbZTADgLgbiPrVgags1sJWi kRg2wgYIB+tW4493T69etHLF6op1KkXZv9SlDaXAHl29/ImeDHMof8qavh61Rhm4mEy/xggY/DFX I8G9Geq8DJ9auvCsqkAAE96pU4tXsNVppaMraVcSTWIEp3SIxQt64OM1dUkmsBW/snVgJHIgmJzk 8A+ta731lGAXuYhn/bFOEtLPoE43d4rRlpuVpMD0H5Vl3GrwKwS2/wBJkbokXPHqT2q1ZahHeblC PHIn3kcYIqlOLdkS6ckrtFltqjLYAHemGSHpvTP1qRlDqVYZB6g1D9kgByIlz61RA/zoSOHT8xT1 CsARgj1FQ/Y7Y8iJamjVY1CqMKOgoAzNXUST2UH8LyZYeuK0JbeG6h8uaNXQ9jVLWEKRxXaH5oHz g9wavRNmNT681C+JpmrfuxaMa50mV7aaGxvMxHgwyfMAfY9RTX1Bf7JmguwYrpIyCG/i9xW6qKud qgZOTgdaxdfso7p7PcSC0mzI9DUThyq8TSnNTkozG2Os6ctjEGlKhVCnKHqKcdY04k7Z84OOFPFO /sG0iTaHnUdiG4/lUaSPYO1rOsLF+YZnXAb2PvT20kjKUFK7i7mqo3AcHaeRUUq/ORjmqeoXN9DF BKAgRZVD7T1B4qzJc/Y4mnvNi8fKFOST6UNIj2baVuo4DC7TnNPCgD1qG1ukvbdZ1BBJIZT1Ujsa sLjPzdK6qfLGHMjnnF8/KzN1hSLRJwcGKRWX65rRwnZl/Gs/WcpZxttJiR1Z/XGasxMs8YkiYMjd CDXO6zVR2NpQ/dx+ZVD07IqOnr+les0eWKxwKfATnNMIyMZp0PDkVL2GtyuGzrNy2OEjUE/rUdkp n+0zsMRzuNoz2HGapRxXMoup1uSm92EilckYJ4BrQ0li+nRd9uR+Ga8Ny5p39T2px5YOz7IupEdu YnZCOBipxbXG7cbk4/3abF/qwfU5FWY5d6nPUHmt4djBDTEx/GjywB0+XvUpbau7PA5NZ9zfSrLD DDAJJZgWUMcAAetVpHUqMW3ZFXe+mXEuyGWS1kyxVBnYf8KtwsjwpLGAyOMjFJZWtxArSTOGkZiz AdB7CozY3VtIz2EiCJ/mMTjgH29KizWprLlk7N69+5OA5BwOtOhtmLqzn5QM1DDq8KDZeqYJl6qw 4PuKZcautx+504edKRjd0VfcmmpRXUlUp9htgsZivLd1DqkrDI96bbSrbyGGZ8ZbEefSnaMwNgY2 QI6Eq/ue5p81v5yAJw4OValH4UKt8bJSmX3oBvU8irkTjHPBqgjl0E6DEifK61YC3TtvjmUI3RSv SrRBQ16EPGkmzcsbBnHtV6CwsAqyw28WGXIIHao57e7kikTzUbcMEbcZqrBe3ljbRx3FkzCNQCyN npUNKMrs3jdwtFmkyW9uhwEj3HGemTWK8NvqOsoiPuVEPmMjflzT5GfW5rfNo62qksS/RuMCte3t orZQsMSIBx8q0rc78g/h6v4ioNPu7Vv9CuR5Z/gmy2PoaXyNXPW8gX/djrRO72pDvIOCAa05ER7R 9fyM4x6tCQ4lgnHdSu2l+16kp+bTwf8AdkBp/wBn1AABbtPfKZ70PbXvDR3XzYxgrx9aOXsw5+6R Q1bUJ3sGSTT54wSPmOCOtWYtUlESgaddEAddtM1KC9+xvvkEiDBKhea07WaO4tkkjbcpFQk+Z6lu UeRe71KJ1S4P3dNuPxwKo6hqE8z2qmwnQiUEZxk47CuhrNvz5mpWMScsrF29hROLtuFOUeb4fzIx HqF7ukkmNqufkjABOPeoZdMvblGt5rxGi652fNW2ZEDhCwDHoM8mmsBvDNnFN009yPayWqX4HJaj Z3VmnlyzzTQMRsbPA56GtO5s1sbyzmeR5Yd+0iQ5Ck9DWvdW0d1ayQNja64+lcrIbyeGWx+0ySyq 5RlZQVAHfPasZRUDqpzdRb2tv8zT02eEy3Z8xMvcMFGeuAK0wyFNu5d2c9e1YGm6JY3OnxSTwK8h zlvXk1BqOg2r3MNvZwfviM7TyoGRyc11O6oq5xOKnXcU/wCkdT5YdeRlfSuM1VJ7XU5ooWdEzuAU 8DIz/Wt0313pFvDDLaRMgGxFibk/hVOTXrp5GYWsSDPR0JIrlq8jVr2Z2YeE6b5kk0XKcp4NNp4x gV7rPnBckdqdFjzDUZY5pY8hs0mtBp6lWAeTeXdu2CpbzR7huSKjKCzvIGgHliR9ki54bNNvbkRa szGKSQJEFPljOM881FeX1tPZSCKQFuDycEHPb9a8KpyqTS6M9yEZtxdtGlc6aIJtVeM9smkdSrAY GWPrVa0UpEgY5baDk9TVl1ZlVg33Tmt4u5zofISqcgAGsy+kK6lp8g4bcy49QRWkB50h/uKfzNY+ qTg3lssCPPPA29wvZelOo9Dakry+83kzgnA596Z5m0fdzk8c1Ui1W0lh3NcJG2MFHIUg/Q1VbU5Z yVsIPMQHHmucKT7etPniJU5djRkAkVSyKSO5rMe2ntJzcWkYKn/WRFsb/cehpTqclrMsWoRrCM/L IDlWqWbWNN+TbcqSeBjnH+FK8JbuxXLUjsrlbR5C0E2VIfziSG6ithYxwx4wc4rlJtWa01Kb7IEu ElxnB7/1qaRdZeNTNDLIG5aNJUUD261nCS+Fa2KqU9eeWiZryXNtZ3plE0XlyD58EHB/CpjrGn7O J9xP8KqSay4i8EkbLo6BcgM28ErW6kcYO4QqD1yFFaLmfYz/AHfmUf7ZtxndHcoPVojirbNFe2u+ FwwIwGFEkuXI25U8EVly2RtZC9pIYpS2WQ/cYUm2t9UC5JeRZ0Zz9jeEjmFymfXnNanWud0xNUkt 5JIXgRHkJwwJqe6m1GwjEsl1AcnGxkIz9MZNKM7R1RpOnebSZt0jOq43MBnpk1j219q91HxZRxH+ /IxGfwxmnzR6mQGmgtp1XnYjEH8MiqU09bEOk07Nr7zT82PGd6/nTwQRkHIrIhudLkG2VUt5F4Mc x2kfnUv9r6dBiKOQsF/55IzgfiBT549yfZzvaxpHkc1lWTJZandWhYLG2JY8nHXg059eskQt++4/ 6YsP6VivKur6razSughdiixB/mAAzk+maznUV1y6s2pUpWfMrI6ozw/89U/76FYE9+ItdLi5h2hM Z2lu/TitT+xdOx/x6r+Z/wAaraVbQJd3wSJdqy7Rx04py5m0iYciTepHf3mmXcW7zys6DMbqjAg/ lU9lrFrJaRi4nVZiuGDAjmtLyo/7i/lWbqM1mjfZ5LWSZmXO2OIk/nQ04+9dBFxkuWzHHV7RSUiW Sdgcfukz+tYC3V5Cbq7ijdInkYsGUMvXoehFS2VrapF5Nw9zZzuTtLZVT6e1V4LVblDaRzSs6uzS tu+UKCe3qaxlKUrHVCEIXt+IWF68lqYvtotfKJbhM7ge34HP502Ga7nuhcNeyRj7jFYCSy57elWr azhhSyupI18l5myT2B4XP5V1arGoCqFGBwB6VcOeUVFvYyqOnCblFbnJEWT6pFvvLxFCHLzHBB9u K0Ps+lHrqMxP/Xan2u6/1qe4MKtbBfLVjyCR6UXF/oltO8MipvU4OIyeaSSSu7Dk22kr3t0G96XP tSUV7p84Ln2qWMqfrUNKDg5pNXBMgvwLa7iu14Vzsl9CO2aW8tbaVHJjUsYiUcDoRzVzYtxbvGwy GGCKo2ivLayQFv3sIaPB6kY4ryMRBRqNdz1qFRygpdV+Roq26ytpsH5kGcVHPetbxozJlHcKx7rS W9/bxaEskz7fJG1h3zWJcXZv7NmN5BErcrHjJ9uazba+E2VP95eWiudBd6jHaQ7mOXY4RM8k8f41 BZ2M0UT/ADhbiVvMc4zgHtWODp/2OMrMJLxmTLFix9+tdVswN4znr1q43crsc+WMbR6lBtN3TGRx AWP3j5YyauhVVgQAAgOB6VWZrlyZIpY1BHyqUzS7LsN/x8RkHsY+a0suhi23uSu8YCyMPu+vvUs0 EM0LIUX5hjAFVkJMyIcbSxbBHoB/WrKSBFaSTCqvrQCv0OeuoItO1SA20LvxlkAzxWtaXEF6hkDE 4OCp4IP0rIS/Sa/lu2uFjY/LGrLnC0Ty20MsU9tOzyyN++VMkEfSudSS95bHVKDk+VrXudIYY/L4 AGcUnmbF4PAPOax21Zrg+TZRtKwPJbgDHqaicXd/LiUS28Kj7qNyx+vpVup/KYeya+LT+uxqSXSb trFQ3UVTvrmIEGSdefU9qjGj2WxmkjZyRwWYk1DFYWSRDFuWOerLml77Fanvd/d/wSnba9dQxLaW dtvwx/eEZ71r6Wlzd3TXF/FKHjGE3ptX8BWZam3kt7m1SxMs5c7WCAbR257VsQDWVgRSbXgYyQSf 51NN99TpqrW8dLmoT8w4rMk05Cbwmcjzsf8AAOn+FO8vV2bm5t0+kZP9az5tPu4pbkzx/bEuVXeY 1C7SPY1tz90c6p9mi1/Y8DRosriTbA0e5l5OSDn9KdFpkMU0LxsoCRGMKB196rLLYi782b7RCfK8 kpInybadEukQvbul2o8hCijaOR+VPmj3BwntZl/TLJbGyWDeZQP4iKS902C4hby4lSYHKOF5BFVb O/sbG1W2tDNcgE7dq56nPWpH10RSIk1lcIz9BgEmplOD3KjCondIfa6ipjljuo/LngTc4PQgdxT9 Fh26ajuvzyEufxrmtW1F5b2VolZEkTyzuXnFTQazc7FVdSC4OCPso4HoOazjVi5avY2qUZKHurc6 0IO4FVYb63a5mgLBZIiAdxrIj1SVLxXa7kaA/fXyP8+35Vall0W6fzGEBcnncuCa1c10ZgqbXxJk XiO6gax8pWidiRxnJBrFge6tYJ/syBopPleTGACfQ1qXs2mQXdmlusS7X8xnVR0HbNM1DWY9Skhs 7IfMZBkuMDPYVzz1bbep103yxSS031Lhj1A2P2V7CNoxGFwJBn61kLqUFrZyQXNq5uUO0DuRWrfx XlvZS3FxqEm4D7sQCj6CsOPTJHso726MwZ5lDOW5C5xnn3IonKUX7oU4wlG89r9L7lnT/EyWdkkL WM5KL1A6mqa6pbku0lvKWd2c4HqSf61t6hd6lpkCBpIJ0PyhiuGH61hJpF6Vy8U24kk/ID/WlKUr qK6eQ6cYWcm9/P8A4B0NFFFfQHzAUUUUASQvtfHY1X1Fhp91HfBTsI2SAd+4/rUg4NS3Vul/YtAz YJ5B9DXLiqfPDTc68JVUJ2ls9zmrW6t0u0up4ZpI2kO9Nvy+31rbkvrEEFdNnCjj/j2rJGlskcts 6t56r5kZByGA6ityyv3jt4UuWElvJxHOOx9G9DXlUnbRo9jEQVT3ou5FHBa3kLgQtEoyVzGEI9xU uiyySfaMytJbq4VCx5PrUN1qlrG0kUkjI43Km5Dg4qtoNwggf5+jk49Ocf1rb7SOeL/dtHRPCoAI AC8UgOX9F6k+tPSRXhLA59qYW27SxAwMmtDMRwE2hRwD1qlrLbNLaIt80rBQvc89qsz3CW8ZkmkV VU55NUrSJ7+4a/mXCHiEN2HrWc2/hXUumre+9kNh02CCzaNk3MeSGGSTWpCIEYqkKo+0HhQKUKA2 WOWB4p0bfMSww2auMUiXKT3ZktEYNZ8uN8RzL5jKOgYEVpYMbZUgqeorIN7bW2t3Mty4UogVB1Jz ycVppN9qhjmgOEbnkVlFrWxdWMlZtdBd6AsNvPTJqHZJEFGf3bZK/WnGM8ljz7CrDFXtfnY8DP41 aVzEztJKtqN28KkRFQG/362s+xzWHYy/ZdUaEkCOdfMHswrb8xexop7GtTdeiAn5hS5FN3DdTsit DMSRVdCrAEH2zVH+zSB/rV/79LV4FetLuFGg02jF0+5j0yK5trjAaJiwI/jDHIx70kVhe3s5vnuT blxtRNm4qv58Gnx20EviK5kkQMUVCM9jitgMM4rKMb6PZG86nK7x3e5iapp9vaaS21dz71Jkblic jnNO1O3hhe0lWFUUyr5jKPyp3iC8gSxa3LgzSYCoOSarapd3F7prQW9jcHp85TH5DrUT5VdIumpt Rb7v9DUury2tgfOlVQOMZ5/KsieI6ufLhhENv1MjIAznsB7VnfZxGLaSW3uRMHHmPKCF5966RIxC flJ/E5qebn3M5JUbOO5jaZo8MiFknaO9ib5ldQQPw/rU9gl7BcXnlW9tMyy/MxO3n24NWdRH2Tyd RB2srBZP9pSapafqElpuku92y6/eqwUnn0oSjFpbG/NKpFy3uOur27vb2K3ay/1f7x4xKMN6c0ar e3zafIktpHDGSACZM8g5449ql06+ivted4o2VRBt56kg/wD16fq+L6WKwhLNIJAZFC5AXPUmm9Yt p7i+GcYuO2vX/Mw5tM1K4txPNHOzABgwYYA+mc1K9vBdN5wutXbcAconBrqGtJxEVW7bAHAxWLY6 othaLaSLJviJU7RkcE02vZvfcnm9rH4dizRRRXuHzwUUUUAFPjOGAplFIBLlJILhL63Bd1GHT+8t VLmU20ZeFFlsrrqjfwk9/ataJsqDWTBp8N1dXkEsk0RDkoqtgYPfHSvKxNNxlddT2cHWUo2l0/L/ AIBasmvAktm4jk8gAqx5+U9BVKCExardM3BkiLAKeMd6RPtukalt4njlTYu44OB2omvbZpoZg7RT RyBXRhjKnrWHPZa9DqdNuXu6pr+vxNjT5jlkx91sdOoqHV7x7W3f5eH4Vh60T6xZRyFInLSgZXYu Qfamtbz3E8dzemKNFyVh9z6k1q5XVo7mEadnea0/MzrSwubtTdm6gllL8OyZC+38q1rFtU80+fJA 0a8bUXBzVIzrpt0JYl8y3n3bkTsR3H4VdTUZ3RZbbTnMR53FgC30FKMlHTqVUhOT5lsW4GLXLh1I PbPajUJ5INm0oAfWqE+tTRyoJNOkQsePmBJq4mtWTr+8Zom/uyrimqkXpcz9lO2xUe6kuo3BEB2g njrV3RcNpMBHpz+dVLm6a/Qw2EBKtw0zLhQD6etMjkvdHjjjlCz2o43ImGX8KnnXNfoWoPl5Xv2N WciMhiM5qtKy+QvzffPBqjea5B9kJjy8p4VNp4+tZs0rmAOuogyEcxvGV2/THSplUS2FHDze+hrW aC41eR2wRBHtH1J/wFa+OBisXT9SsLeyjCbt5HzIiktn1NWf7WLYWKxuWbsCoGfxq4SiluOdOTdk tjTwfWjB/vVjPr5imEEtlIsp6KHBzSR+IfOlMMdlKZR1UkD+dP2sO4vYVN7GlLdpC+xg5PqBSDUI T/DJ/wB81U+06ncNshtFtx3eY7vyAplzHf2sDTS6qAAOnkrz9KfP1sJUuja/r0HW0iNrV24YAGND zx2pbjVx55trSPzZ+hOflX61gQ6fd6pezSzqjSjG5ZCV4xweKfcaTLZRxqEhXzGChUZ85PfrWKqO 21kbypRUlrd6Gjd2ASxllaYNdr+9Lsc/d5wPbitOCYzWkUjkBnUE47VzeoaJcw2Zfz1lCqMkAhgP z5q7HBqEVnE9rcpcR7RhWTace1F7PRGcouUNWtzWnhS4iaGQkq3pVGzne2nW0vSw5xHKeQw7DPrS Wl1LO7wyTeRMgBKSKP555qe8mszZNb3k6Su33RGuTntjHeqsn71yIRa9yS0IdbuEL29q2ShcM+1c naK1RLCiiPzVBC5CnAOK42LUruC8yki+cSELzr91f6VIttPc3heW7s7iQjJaTcOfTAIpRqXehtOl yxSl0/E0NRuLSzuPtdtcKtyByF5Dj0NZtjqOps1xJAQVdtzsEyVrdurO3XR5d9vCsmzJKLgZ9qpS W0FlbwX0UahAoEsZ7+496lqUZX6DjKEqfLuxLa/vGucXV5GiDGY2TaT7is03MCSSCeSbzC7MfLxt 5JPFXby/s7mIQW8QYE/Mwj3bAepHvURbS4SUjtZpVB4faTmonLme5VOKgr8r16GrRRRX0J82FFFF ABRRRQBJE5U47VHd2byzx3Ns6JMvUtnDD0oqzE2Vz6daxq04zVmbUasqcroyb6S7MflXMJdl+aOW BcgH3rHOovtuvMtxJJOAC3QIB3/lXYkgdKx9Q0iJomnhT5xksueGHevOr4WSXNB3PVwuMhfkmreh jR3SpbRxpYRzSk/KySkP/Kt/S9P+0Q7761KsR8u6Ut+nasq2uNOmso7ebCXCvgHHzAVdW50ggbdR nSQdMscisaaur2RvVmlJq7RrxaRaJcOyRkAgjbnhc+lRQyPpcotbht1ueIZMdD/dNOi00yRCX7fc MW5B3YxVa7hKRtC+rQsr8FZ8Vb93VKxEfe0bv95FHJLd6hJNMinyWwib8AH1rXQiUYuIUz6HBrDs NNtTeNa3cgmLjdFIjfnWlHolnbyhx5vyHOS5PNEFdX6kVk1Ky26GkJowNowoGMClZlfIXk1WmhJc Y6daXzGiU5XFVzPZmF+5m3Mcsms28SmEAZccVoG3uRkH7MwzxlOaqaaokubq7bLOrmNP9kUt1f3E l2bWyUEx/wCsd+Bn0pKSS5n1OiSbaiuiNK3hCDLJGHPUouKo3N1Pe3H2WxYKq8STY4X2HqaRbW/v mC3cqxQ45SI8t9TWjFbxW0axRIFUdhVay02ROkNXqzIvbKGyS1MKlpvOHzNyzevNX72wS6j+XCTK dySY5Bo1K1luIkeFgJYm3qD0PtTrG8W8jJwUlQ4kQ9VNLlV3Epyk4qSeqKv2zULP/j5s/NQdZIGz +nWoEurbU9ZjKtvjiTO1hj5voasXDT3t+9nFMYokUGRlHJz2pW0S0WDZCDHKOVlz82frUtSe2qKT gld6N9hJWWLXo2UgeZCd3PXBqOFf7Q1F7rjyIPkjz3buaybrUwt2Eu/lmjhaNiBwT61astfsrayh jEUjFV+YouRmpUoydmypUpKN7a2sXNZMiaZK0ZwcYOOeO9Is0On6ZGyHcu0eWO7UyaW71FCkFube Nhy8o6/hUGj2ysm+4cySQsUXJ4XHpUv4tDNQSp+90ZDcWUonivbyNrkn/WRIPuDtj1rYs47Fog9n Cnz8ZxyPXOeasZHqKzIrXUIL2ZbZoVhc71Z+cZ68VcI8rva4e0dSNm7W+4ZdadbTay8UkYxJDnI6 5z1FMltJrWFoprJbqEciVMKwH0pk0d+dYiRbuN5kQlm28KDVxoNSCEC+jYDoGTrUWTb0NHJqy5lt 5lF4bG40+Y211OsgTJiZ+nsQaiubOAWlusc0jzTgBYi2Rn+8fYUk8r6jFIgss3CEr50Z+X35qtpk JSUNNdSQNIMI4PB9s9jWTabtY2imo3b26bmjcQnR0guY4vMREMcgHf3NIfEFjEAkgcuAN3lgFc45 xTLywiluIrNJpZJpDl2Z84X1xWbNbyWUz2/lzOEY4ZehHam24vTYmFOnUS5nd/cb1FFFfRHzQUUU UAFFFFABTkbafam0UAWg2RQeRg9DUMb4+U1LWbRaZUh0CyZGHzZ3ZDA4I/Gi20LT2LrJEzSI5G4u c+x61oQMA+KfO4guU67nHX1rz50YRltoenSxFScbuRTGhRxjaHmaL+4JWA/nVqCx06Jdq2sSnvuQ ZP1NSq7YyCRnmpUKygqyD19aboqOtgWIlLRsoz6NZshMUSwydUkjG0g/hWM+qXDu4e6MMiZjbCbg 5HcD1rpmh4+Rivt1FZcOmMiGKRlJSYyKw+vespRafuG8ZxatU1Kdm+t26o0wWaKQfIhwCDnvV43V /go+nrv/AL2/5auMXYAsEOMkU5Ymb55QCAOBT5H3J54/yr8Tnrpry1ka4jjFtHJ8snz7hk98VYtb 6xtbZCIJuc7pQmdx9TW3LaW9zCY5YlKMORWUJLrRR5PkG4tQfkYHBUeh9anl5XfdFuftI2WjNKzu 47lN8e7b/tDFWSQWGKxl16J0cx21w7p1ATp9eaqpfm9Gb2/a1U/8so4yp/76IpurHoSqEnua1zqc cUnkwqZ5z/Anb61SNnqU94LtWhtH24O35tw96tWM2lxjy7SWIHuc8n8TTtUuWjswIHAkkcIpHOM0 nqrt/cVG8XyxX3mNaz3kOq3ESXMTO55MiYDMPTFaf2G8vDuu7vbGescHAP49aa2hRmLyzM5BO47h klvXNV1kk0CXy5GkuLeT7mOSp9PpUqPKve2LclN+5v6Gfq+jLFexx2iEmUfKCxOCOtaGm2JNikll dSW7qSrxk7lz34NFrqdvqesRSgmOONCEDjBZj1xVniy1tlyEhukz7bx/9aojGN+ZbFznU5eSW6RW ZtS+3C1a8jXcu5XEY+b2qrBbTw3skE17JEZDvVkAAY960pQJNejVc/uYiT+NQ6zLtiWJoPMLthCG wQfY0OO77GUZu6jbddkTJZ36sPL1E/8AA0BplzHqnMTtbzoV+YkFMfkahsLvUY7kWt3FGZCu5SSR u/8Ar1o3ThbGd2JD+WxOOg4q425boiTlF8rszCsoLyZpbhLeMiQ4BMhHA9KYjXV5eTWaOkTLkMyk t+HWtITfZPDwcHa4i+X69qrG3bT7O1vRGUkj4lBOSwPWsne1r+pspJtuyvshw0i7ijASeJtvRdmB +lZsUbyXLwGKJI5JNoZ8sFbB6VszX8l6DDYA4YfNOwIVR7epqhJaXhtfsqy2YSM71ckhi2f0NEv7 oU29eeyb/q5nva3WnXkvlzksgG5xxwa0P7P1p/nWRircgmTmnadBe6h9oJlhQSkiRtu48cYA9K04 tGeGNYxqVwAowAMUoU3ur2NKlVLSTV/Qhooor6E+ZCiiigAooooAKKKKAAHFSK56VHS9DSAnViGB q8IxPCu7GVPBrNR8nB6VbhcrxnpWFWF0dFGfKxQ23KnqDg1LG2GHoeDQ6CYZXhu9V0es4vmXKzWX uvmWxoZwKhmIBUj1p0L7xg4yKo3VtfXMhaG5MCqcbCoIPvXO10OhO6JXYF+uBgGnJNyckkEflWTJ Z6i2U+34HPIQA1ds1miUJO/mOB1xjNZ31C5pAgAYOaRgJFIIBFQlcQbs/MAOaq3OqLakp5MknGco M1pcZUazlTUZDZv5bkZ5+6w9DUoGqRZEltbXAPPB24/OmNrFvvVkiuA+3JPlnj61ZgupL6AGNGUN wWIxipcE3dGim1o9Skb3T5JBDqNmsDA8Hgr+Yq0dFsbhFltpXUjlXjfIzVsmMqEaMYPBUisq7gm0 uZJrGYRQTPh1YZVT61nJJbq/5msJ8ztF2f4Fl0v7BhIk7XqdHRsBh7iqF3qltNdwyNIFVEZtj8Hd 6VbnbUVt5Lh57dERckqN26sG5sJnkM12VEjxmRcDGayqSktEa0oKTvJr5DWs1t4rdprtBHNhgqOM oT3xV6bUEh0xrK5+eXrHKJFfnt0ORWi9jo9rZxSvbq28DYMZLcdqhg0K3upvtNzbJBGPuRLwfqaf JJe7EftIP3pmdZa9FBPJLcxSvLJjGwAjHpTi1/q1+k0Vu4RD8m84Ax61sWenC0nk2EeSTlVxyD9a vgAdBW8cLKSXMzlnioRk3BXM66t9UunhYxW8TRNlX35/pUF/Z6syErOZQwIkjQAYHtnrWwfmGCTi gO68DBHv2q5Ya63M44uzWiOSj/tG5ijiiyyxYZvNXABHb3q3NZ67PblZJYyW+8gbj6ZrfdWbnOO+ MUb8L83WnDCxS97UmpjJN3ikkYFvpV95qKV+zwniQJLuzVyLRobeKRmX7Q/JUNxn0FaHmbjinq3Y 1p9Wp9jL65UfUyrTSVW0R2LwzsSfkbp7VYGnzkZOoz/98ir+BnOOaWojhYIuWKqN3MyiiivSPMCi iigAooooAKKKKACiiigAq3A2VHPI60UVE9i4bllG2yrnoabPEseMdCaKK42/eTO1L3WhqTFTxVhZ g+eDmiirqxVrmdKbvYgnBjViOT1qGN97DON3tRRXBLc3ZZD54I68U+GFIiSigBuSKKK1jsWiU8Di oyCWyhGcjPvRRVAQyDbKrD7pPNSywRz25jZQyMOhFFFK2obHO3lo1vdxWluNkNwwWSMHjgg5H4A1 s6pYLd2W1W2SIMo3pRRWairyR0SnK0GYejySXbRCVwTbLtRf61vhQtFFb4Vfu0zmxr/fNC7h60ZH rRRXVY4rhuHrSbxRRRYOZjGf0qJmooq0jOTGBtvNPEqk46UUVVrk3aLCtninUUVkzeOx/9k=