20240215 15381300 1.0 TRUE TRUE 150000000 5000 ItemDescription structures <div style='text-align:Left;'><div><div><p><span>USGS Structures (WFS) from The National Map consists of data to include the name, function, location, and other core information and characteristics of selected manmade facilities. The types of structures collected are largely determined by the needs of disaster planning and emergency response, and homeland security organizations. Structures currently being collected are: School, Technical/Trade School, College/University, Fire Station/EMS Station, Law Enforcement/Police Station, Prison/Correctional Facility, State Capitol, Hospital/Medical Center, Ambulance Service, Cemetery, Post Office, Campground, Trailhead, and Visitor/Information Center. Structures data are designed to be used in general mapping and in the analysis of structure related activities using geographic information system technology. The National Map structures data is commonly combined with other data themes, such as boundaries, elevation, hydrography, and transportation, to produce general reference base maps. The National Map download client allows free downloads of public domain structures data in either Esri File Geodatabase or Shapefile formats. For additional information on the structures data model, go to https://www.usgs.gov/core-science-systems/ngp/tnm-corps/structures. See https://apps.nationalmap.gov/help/ for assistance with The National Map viewer, download client, services, or metadata.</span></p></div></div></div> ngda building facility school technical trade college university fire ems ambulance hospital medical center police prison correctional capitol post office cemetery campground trailhead visitor center US NGP-TNM REST WFS USGS TNM Structures USGS TNM – National Structures Dataset. Data Refreshed July, 2026. 20260608 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAGfRJREFUeJztnQm0FNW1hrfQzJd5FCKRwYCgwmUSMMigopIBCCpKVFBkSMwD oiijXETErJBojAIiaIzigEsTgygEBGUQJGYSARWJBhkCgnAvcJGZt76ddXoVLRrDg/s48H9r9erq qupTQ3d9veuc3eekDh8+fNiEECICUv/fOyCEEF8XCUsIEQ0SlhDi1BPWwYMHjequvXv3Wl5enlWv Xv2I5fv27bOiRYt+ZRn5+flWqlSpY99bIcRpzdcS1ooVK6xQoUJWv35927Ztmy1btszatWtnlSpV si1btljlypVt586dVrZsWX8uX768NWrUyBYvXmylS5f2MtatW2e7d++2evXqWW5urh04cMAqVqyY ngbK2bRpkx06dMiqVatm77zzjmVnZ9vWrVtdlGwPcX7++ef+umrVqr69cuXKndizJISIR1gffPCB denSxaUFZcqUsdtuu82efPJJFwyi2bFjh5UsWdImTpxoI0aM8PWCrGDVqlXWoUMHnx42bJgNHDjQ xTZ37lwvm/cNGjTIxo8fb71797YqVap4ucC2cnJyPEJjO0R3iAqh1a1b90ScFyFErMLq1q2bjRkz xi677DKPkGrUqGGtW7f2ZURCkJWVlY6UYOrUqfbcc8/Ztdde66/btGnjZYwcOdImTZpko0eP9uk6 depYKpWyxo0b+3p9+/a1BQsW2LnnnmvLly/3eY888oiNGzfORVehQgUrXLiwS7N///42e/bs439W hBDxCQshII+33nrLRo0alZ6PNBo2bOjTIQoKzyG6at68uT8CRF/33HNP+jXCgqZNm/ozt5iAEHlA p06d0uuPHTv2iH0rXry4vfTSS8d63EKIU01YSydPtRusuA0fPtwmTJhgJxMIUAhxevGVwtpauaLl bPnU5nXvXnB7JIQQxyKsDZ9u/qrFQghRoChxVAgRDRKWECIaJCwhRDRIWEKIaJCwhBDRIGEJIaJB whJCRIOEJYSIBglLCBENEpYQIhokLCFENEhYQohokLCEENEgYQkhokHCEkJEg4QlhIgGCUsIEQ0S lhAiGiQsIUQ0SFhCiGiQsIQQ0SBhCSGiQcISQkSDhCWEiAYJSwgRDRKWECIaJCwhRDRIWEKIaEh9 /PHHVqtWrfSMESNG2L333uvTBw8etEKFCtnevXutSJEiPu/AgQN26NAhK1GihOXn51uxYsUslUrZ smXLrEWLFr6MB+zbt89KlSrl65UsWdLOOOMMn79+/XqbPn26DRo0yNcpWrSob6tw4cK+LuVR/p49 e3we2164cKG1bdvW5/H68OHD/mD/ApSffC2EOLVIIYokDRs2tDlz5ljHjh1t9erVVr16dZs5c6Z1 6tTJtm7daitWrLDNmzdb//79bd68eZaXl2fXX3+9SwqZ5ObmupAQ1aOPPmpDhgyxBx980AYOHGhn nnmmb6Nv37726quv+vRDDz1kpUuXtuzsbKtTp45NmzbNypcvb926dbPZs2f7tnr27OliQ1Cvv/66 IVnkyL43aNDANm7c6AIcPHiwi1EIcWqSmjx5st13330e1cCFF17oERbCuv322102yGfcuHF22223 +fIBAwa4sF577TWrXbu2RzavvPKKNWnSxCOurKwsl1C1atVcUkguyAoQYPv27V1aHTp0sKeeesqu vPJK3w7i8h1LpWzHjh22cuVKL6tmzZq2du1aX4fykOSGDRt82TnnnGP79++XrIQ4xUmNHz/+iBlE OY8//rhPhyiIKKtLly62bds2q1Chgr3wwgs+/9e//nX6fWPHjvVnhMU6MHTo0LSgknDbRqQEzZo1 80egXbt26enevXv7A+rVq+fPZ599tl188cU+XaZMmfS6o0aNOg6nQwgRfaU7UQ0EEZ1sIEDVXQlx 6qNWQiFENEhYQohokLCEENEgYQkhokHCEkJEg4QlhIgGCUsIEQ0SlhAiGiQsIUQ0SFhCiGiQsIQQ 0SBhCSGiQcISQkSDhCWEiAYJSwgRDRKWECIaJCwhRDRIWEKIaJCwhBDRIGEJIaJBwhJCRIOEJYSI BglLCBENKYaAL1q0qA81f7Sx/RgOvnDhwkfMY0j64sWLf2FdhpLfu3evD6bKaND/iaOVfbTyjrat r3rP19m2ECI+Ui+++KIPlNq4cWPbtWuXC4TRlWfPnu0jLD/wwAM2ZswYe+yxx6x+/frWunVru+uu u4wRo5999lkfup7h6uGzzz6z559/3vLz8+2OO+6w6dOn29VXX21vv/22/fnPf7ZbbrnFPvzwQ9u9 e7eVK1fOkCUjTU+bNs369Oljt956q5fNEPfw/vvv2yeffGKXXHKJjzq9fPlyu/TSS23OnDn+3tzc XB+ynnWQKPvBaNM5OTku4SVLllj79u1t3rx5fmwbN260Vq1a+bEKIeIjdd111/nE+vXrbdWqVXbV VVe5HEqUKGFFihSxyy+/3JdPmTLFLrroIn/s37/f5xFJPfPMMzZy5Eh/TZRWunRpmzVrlgtrxYoV PsT90qVLrUePHrZo0SI766yzXEg1a9a0NWvW2OLFi30bREZIJcgKiKw6duzoy55++mlr06aNT/fr 18/mz59vmzZt8vW6du1qLVu2tAkTJnh0xT4w5H3fvn19OVKeOHGirz937lwJS4jY67DKly9vTZs2 9WlkRfSyYcMGj4Bg2LBhVrVqVZ/u3r27i4PoiogrgCjOO+88a968ub+++eab08uIqrKzs11yiA0q V67sUdH27du9vMGDB7sMEWXYj3Xr1lmNGjVceERlCGncuHFWqVIly8rK8vUmTZpkF1xwgU/feOON fqv58MMPW61atXxer169/BkZ5uXlndgzKoQ48cLitjBc4Ejjvffes2uuuSa9YufOndPT3FYBIkmC YJBSIJTHPG4zMylbtqw/V6xY0Z/PP//8I5Yno60gSwhRIYKEFi1apJeFMhBnICx/880301GXEOIU aSUsU6aM1wMdL9q2bWsnA9zOCiHiRWkNQohokLCEENEgYQkhokHCEkJEg4QlhIgGCUsIEQ0SlhAi GiQsIUQ0SFhCiGiQsIQQ0SBhCSGiQcISQkSDhCWEiAYJSwgRDRKWECIaJCwhRDRIWEKIaJCwhBDR IGEJIaJBwhJCRIOEJYSIBglLCBENEpYQIhokLCFENEhYQohokLCEENEgYQkhokHCEkJEg4QlhIgG CUsIEQ0SlhAiGiQsIUQ0SFhCiGiQsIQQ0SBhCSGiQcISQkSDhCWEiAYJSwgRDRKWEOL0EtbHH39s tWrVss2bN1vVqlVt48aNVr169a/9/sWLF9u3v/1tOxGsW7fOzjrrLIuNQ4cOWaFChY75/f/tZyBE NMJ699137dxzz7VUKmW5ubn20UcfWZMmTXy6aNGivuKBAwesTJky1qpVK1u6dKnl5+fbqlWrrHnz 5rZhwwYX1vLly+2yyy6zv/zlL36xcNFkZWX5+2DhwoVWuXJln1euXDm/KJn++c9/7sJ67733bM+e PZadne37cOaZZ/pF++mnn7p0KL9mzZpe3s6dO239+vXWsGFDe/vtt61Zs2Z2xhln+Hbeeust27Zt m1155ZW2adMmfy/HeP7559uuXbvsX//6l51zzjnpk3Drrbf6ei+88IK9+eab9s1vftNq1Khh+/fv T2+b46X84sWLW15enpUvX96GDh1qP/vZz3zZJ5984mVxHjkv7Cfr7tixw1auXGlt2rTxc/rXv/41 vd3f/va3duONN9pvfvMb69Wrl+3du9c/gyJFivi54fxRdr169dLv6dy5sz300ENe/qxZs/wY9+3b 58dbrVo1e+yxx6x37962fft2/wzYrypVqlixYsVs9erVfpxt27YtqO+XEMeVFCL64Q9/aH/72998 xvz5811IXFxcaHzZuVAzf63/+c9/+oUPt99+uy1btuwLhSMOhBaEdfHFF/uF++yzz9rBgwddhlyU gQceeMDLnTNnjsupQoUKVqJEifTy1157zctDmpMnT/YLGWGNGTPGZsyYkV4PGVaqVMn3G6G8+OKL 9sgjj9iECRNs6tSpVrdu3SOExcXcsmVLn54yZYpdd911/n6ExX4ePnzYJYGM2R5SSYJk//jHP7oc 7r//fpcSwmjatKlLuG/fvv6cyQ9+8AMbNmyYi4/3/uMf/7AGDRq4qHfv3m1/+MMfPGrl+JLnCBEm QVwcD8IKPPXUU37snAMEW7JkST/+J554wiUqRIyk+EIjAi5oIo3ChQvbpZde6guZ36NHDytbtmxa HFw877//vkdK4VaLCw8QHRc1ERcQaXzve987YoOvvvqqlS5d2i9qxDV+/Hi/sIh8iAyQC3zrW9/y bSITbhmRCJEXgmMfGzVq5OXDd77znXR0Bcg1SLJjx47+HKKK8847z/70pz/Zd7/73fT6XMzt2rXz Mq699lrfP3jyySc90jr77LP99YIFC+yCCy5IR50cd5ABgg/ng+1zm9y6dWuXD/sOiOnDDz9My5Lb Vc4t22V/OX+UR7lsAzkS7SVBRI0bN/ZIC5nCli1b/PMgKiPCY/6FF17oyzhWflh+8pOf2EUXXXTE eRIiNlJc/ERRyAq4EAI5OTlfeANCymTIkCH+PGrUKH/u37+/P48cOfIL6wYZcIHzAKIK4CILF1qY B+GCb9++fXre5Zdf7o/k9gJBVtCvXz9/vuaaa/wZGQchB8aOHZue5hYrwEUeQDaZtGjRIj1N9Bjo 0KFDerp27drp8xL2IcAxJo8zeb6IopBoJsnPJEj3lltuSc9DktC1a1d/7tatW3pZ9+7d/SFErKiV UAgRDRKWECIaJCwhRDRIWEKIuIVFqxMVwHfffbfde++93qRP612yAjcTWrdo8Toav/vd79ItiQFa EmmZvOeee9LzaPqnVZCK6i/js88+87QFGgtOB0JS7n+Cz4d0j6Mli5J7xXkldyzJK6+84i2sQA4Y 62RC6y35aeSJCXFSCIukS3J0QgsdiYu0PJHXs3btWp9HnhHCokWNpn7SHQYMGGDDhw/3pvd58+Z5 Kx5Jo2vWrPH0gLlz53oqAkmNJEnSrE4OVLgQaIIH8o3q169vn3/+uf3+97/31jda3dgmZZIYSgoD LVwhL+pkhWTWX/3qV/aLX/zCHnzwQc87Iw2BdISePXt6DhTJsqQXcI45p6Q+kJZAbhkJtLR+IhKE wrlj2fPPP+/pFbRATpo0KZ1uAm+88Ya3bpJeQWoDZZJ+Qmsp+V28b9GiRVaqVCnr1KmTy43WSRKD 4bnnnvP3TJs2zT/b0BrLeebzD7IiwZWE1UsuucSefvppnyZP7KqrrrKJEyf6cdESyg/dfffd5/tJ zlqfPn3sgw8+8B+Z2bNne64d50eIYxIWqQZBVkB2OakOEPJ2yHsCUhFICyAjnFQI8qkQFjJCQmRa 82Xmffyi86UO+VCIJwiLPCsSLklcffTRR/3ipKwuXbp4bhbCYltI7PHHH7cf//jH/kX/xje+YScz yJfkTnLLSLcgu5/z+c477/hyklGRFrLhBwEJcHxbt251GRF1IiwEDkRXRK+cL85tSJkgagrC4rMh UZVUCM49cqQchEjyLSAhfmwQFmURuYXPlh8XsuVJAEZAAZaTxIvcmCaZNeSzEQ2TboLsgP2/+eab fR9CnhnfERJ1ge8T3wcibT5zIY5ZWCSI8mvLrRbwS81rvlhEPDzzF5KQeMkFxxeXiyQkNhKV8T9C kkH5OwtRAdEFfy3hgiAJNJnDhaxItOQXmG2wHmVzYfDrS+IkX/6KFSv6BRj+p8j7/i//sTvREKkg ckTLbRa3aTB69Oj0OkQ+HOcdd9zh55bIhwueRxBAyLfiM0E6nItw8d9www1H3L4hAqIhoiuWkSiK 4HkP2wkRXSiT20b+pgT8xYkfLD4/zjG33JzzZC4anzP7QNnh70PsO59DyNsbOHBgep++//3v+74Q MYZb9yBXBM6PmxDHLCy+VEFWPjOVSkdGwBczJHwm5ye/2OGXHEJ0xhc4eWEl/2bDdHiNnEL2eLLc ZPnICjL/lnIyQEb8gJ69/Byt25H3heNLJrMmjyl5zomkknVVYf0g5+T7EFAmyfPPLWYgWa8Y6rCS ZYXPNURbyWWAyELZyYTcUC6yzdwOf2tKLkseBz9eQhwraiU8DhBR3mkl7eWdu49HcUKIL0HCOg5w 23TFzJl2U48ex6M4IcR/EhatTtQxcTtxxRVX+Dz+5BwqfzPhT7XJ/9IlCfVMyds8oH6LSudQH5YJ KRQjRow4Yh4Vzn//+9+93oVb16OlPJAiQX1JsleDgoTbVFrqhBAFJKw6derYTTfd5FIJ3czQ2kP9 DK09NFHTmkedFOvRgwJ1XQju5Zdf9qZultE6Rv9WdA9DBW74MzEVwdSXhD/sjhs3ziun6b2A9Ae6 WaE7GtIiKJPcLVrEqLuikp/6HrZHxTD7NHjw4HS9C+W89NJL6f0mBeJHP/qRS5X5SJeUAlIv2Acq nGkRoyVtxYoV3jpJ3QotfMia1szQJ9bJWGcmhJ3uwgoVxEECyIKmb6IhmsGJmMjnGTRokAuL3CKE RKsRzdlEP0gpCImm9pkzZ6Y3xHK2QasY4iGNgqZ0csBCZTMpCzTX08JGVzMIhBSKkHvFgz6jEFSy mxRaJAMkuU6fPt2nyfMivwwpIixaIUklYLv0URWis+uvv97LQ1AIjZYzco/IXRJCnITCImcnpCAg DORCiyDpDeE2jDSF0NEft4Osg4hIbuRC57aNlqEgv2SfU7QcIiluCYOwMtMTiMyI0riVpEySEBEJ fWqFZFHewzJSLwJEfyHTnqRI9p8yeE1CI+8NLZ3crrJ/IVcIMXPcLKNzwNDKRaqFEOIkFVZIRYAg nMx0h2QzdbJpPdmknmzezvyrR/I9yenQlB6a2DPLzPwbTmg2Tx9EKpXeLmIK+xk6xjvaNsO2aLbn EaZBeUJCnJyolVAIEQ0SlhAiGiQsIUQ0SFhCiGiQsIQQ0SBhCSGiQcISQkSDhCWEiAYJSwgRDRKW ECIaJCwhRDRIWEKIaJCwChj62qILHXqgCNCbRLK7nNDtDd3dBOi6Z/Xq1dawYcMv/Pn7y2AUI/7w fbTyM+cxpBqj9TB4xFcN8kGPGvTewdBeXxe66WGf+YN9Zp/xXwZDpDGwhRBJJKwCZsmSJd5/GHBB cmEyjx4iGHeRfrrox4vxDenIMMgDYTFqDkOIPfHEE9ayZUsfOoxeYhmlhg4VGdOQfrzo+4tODumw 8JlnnvGuchhei04L6dGVni3o5ifZOSGdMCIs+hJjODFGUmJsRIb2ev3119Pr0QstvWMAQ7LRHRFD hy1btszHIqQDRbrpoTPG0MsG/agxQlIYHuynP/2pj09I54wMhUZXQUOGDPFt33///V4WYzsy7uXS pUu9U8gZM2b4djhfyJyOHjkecXohYRUwRDx0gMhoykQemcOW0bkg/XN99NFHHu2EYcKA6ASB0G0P kQ69qjISThiUFBEhFMojgqKzQgjl0+EikmOMQsZDpA+0ABEQnSsSOSEuCEOvBegbjW2tXLnS+x/j PYgVMbGsXr16vh6vk10CIZ0pU6Z4b670VUaECUR49IsWhn8jgiQqBISKyOm5lvEogciOfsx4zJo1 6wR8OuJkR8IqAJAH3TXToyo9qfIAumaGIKXQUyqEDgYDDCrLA+hYkUFMA0RbwGC0gaSMiISAyOxo yzPHTQx9kWX2Ux/6RqMjRwjjJMLVV1/tDyC6SkJHjDwC9NEPQVyBu+66yx+ACIHIEzHDww8/nF6X qE2cfkhYBUDXLl2syow5trplts1duCDdUaA4doLExOmFhFUAUP9ENfnhLVu9f/ogLLqQDv3eM+hG GK2I5dwOjh8/3kaOHOm3cvQzT1TBLRL96IfunLkVu/POO72PfUZ75laT+ipGkWaUZfrE57aTqIbI qF+/fjZt2jSv1yLyYtARBgoJg6y+++679stf/tKGDx/ufeVTl0XkRLl169b1PvUZ3Zry6fOf/aAM okTq3LhVo1wq8enVlfoposVkb7VCHCsSVgGwYOFC25OfT+XOERXdDEvGMPAMlEGlNINlUE9Ft87U 4QRYh9tBRg/idi3ZlTRQ+Yy0EBb92yM+6rKQCHVCa9ascSHR9TUjBiFN6qG6du3qMkuWx3bDrSOi pC6KejMiGirGaTBAprRyIjqExaAgSBnpcnzcAufk5LjsqKcaO3asV8gL8X9FwioAuIiPNlwYQ6tx 8VMJ3rp1a59H5MJFjlyYD0RKiCjUIyUH4KBcJEbLYKgHC9tCfFu2bPHIjPKofKdOCAkhHwRI1BVa /YIckRjPpCF07tzZ12dYNfaRbSGku+++24d2A2RJQwCRF2Wx/9TThT70M+vjhDhWJKwChAs9d/t2 27d3n1WuWiU9cEZy0IvkkGVhfkiDyBxIIylDbgMh5GjxTOSUGY2R+pAcfCM5SAcECXF7lwTBBRBS x44d06+HDh3qz8mBc/v06ZM+ZlIthDgeSFgFyNq1a+1/GjWzEjt22dAlb1iTVv9u3TsRNGjQwE4G kFtm0qoQx4qEVYBwa5VVrJgdKLbPsir8u5JbCPH1kbAKECrWRy+a7wmZtevUKchNC3FKIGEVMCEb XAjx3yNhCSGiQcISQkSDhCWEiAYJSwgRDRKWECIaJCwhRDRIWEKIaJCwhBDRIGEJIaJBwhJCRIOE JYSIBglLCBENEpYQIhokLCFENEhYQohokLCEENEgYQkhokHCEkJEg4QlhIgGCUsIEQ0SlhAiGiQs IUQ0SFhCiGiQsIQQ0SBhCSGiQcISQkSDhCWEiAYJSwgRDRKWECIaJCwhRDRIWEKIaJCwhBDRIGEJ IaJBwhJCRIOEJYSIBglLCBENEpYQIhokLCFENEhYQohokLCEENEgYQkhLBb+F0xC9dB8/4PPAAAA AElFTkSuQmCC