20231018 10194300 1.0 TRUE equity Poverty Density with Housing Units in NHC Poverty Density with Housing Units /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKaZEXq6j8aTaW4DqKas iN91gfxp1CaewBRRRTAKQKqkkKBnrgUtFABRRRQAx4kk++oP17UJEkedigZ6nvT6Knkjzc1tQCii qVguoKbj7e8LAyHyvLGMJ2z71dhN62LtFFFIYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF FFABRRRQAUUUUAFFFFAFG5mZpGQEhV4OO9VsD0qxdRlJi/8AC/8AOoK/P84nX+tzjUbtfT06HXTS 5dBMDtxV21nL/u3OWAyD61T/AM8VKsUsa+djbsGQD1NbZLUxMK3NBNw69v8AhxVEmtTRorLMsjHJ kfPscVNbGV5Ad7FB1yc19Dhs7o4iqqVOMrv0+/cxdNpXZeooor2TMp3On/aNQtbr7RKn2fd+7U/K +fWrlFFO9xJJBRRRSGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRXHy/EGyXVzp0dncyOs nlswAx1xmqjByTa6GdStCnbndrnYUVFHcRy8K3PoeKZf3D2lhPcRwtM8aFhGvVselZwnGorwd0aP TcsUVDBEiGSZTJmYhyHYnHHYdql3LnGRn61QC1HLMkON569gM1JWfdnNwfZRXDmWLlhcO6sVd6FQ jzOxdjlSVcoc0+sVb2KKXCyqHHBBq22pqEyQo993FcWEzujUp3re7L5/gXKjJPQv9OtRG5hBxvB+ nNYNzrG8kLl/0FVP7Tn3dEx6Yrnr5672ow07v/I3hgqkldlu412WbX/7LWyk8kLv+0Z4PHpjp261 NPdx27Kr5y3p2pba4FzFvAwRwRRLBFMys4yV6V8/jsY8ZXU5xtZWsgpU/Z3U3fUtWxzcIR71pEAj B6GqdpCQfMYY4wBVyvrcloTo4RKas22znqO8tCt9ij3Z3Pj+7mrCqFUKowB2paK9Clh6NG/s4pX7 ENt7hRRRWwgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigBHbahb0Ga4bXYxG7zW aiG5B8xnTClj6E12d2223Yd24rhPEoke2vBHndjt6V89m9ZuvTop+b++2v4ndgaEa0+WRPpevTTS ASPE6hRu2vlg1dfaXqTRjLg56N614TbTyWt0lxE7K69s8H6123hzxJZTfubX5WbLPEQcE9SQeneu eEK2Dk62HV49V0+fb1PRzPLoYdxXMve2u9X8j0S7l2RhVPzN/KsO51BYZCiLuI6nNMk1OPyyIkYM fXoKxL28jtIHmlcA4yATyTXBi8VUxtZSs0tkrnLhsI27SR0NvrIBwxZPryKi1iY3WmXKQ3ISeRCq Mp5Brj9E1K91CWQzRr5I6MBjB9K26mtOvBqnObaTTtuvx/I6K+XRhNwZg+H7fVbVpIr5i0YBwS2c nPb2rd3rtJ3DA689KWq8unfa4HtIFVPOPzHO36np1qq9f6zW9pUtG9r2Vl5v9SaVFYWjyRbaV93d +hBcXUjXaWyo3kyxk+eh+6atW8axQKiuXA/iJzmr0Pg+J7S3tYbmZYYifNJP+sB7HFXL+zg0jShb R4EUajbnqB+P0rWrhn9XVWmvdv6X1snv100WhhRxs5T5JLfz28tivYXaW4ZHBwxzn0ro7OaCaNdm 3cB+deG6hrc8l40nmyDn5VVsbR2rqPCXiOaW4WGVyxPRj1/GurC06mBbrWunuv8AI7sblb5XOMtV uj1Wop7iK3VWlbaGcIOCcknAFOhfzIlf1FMuJ0hTLYJ6gGvpZVoRh7STtHc+ds3oiaisGTXQJMBm I/2VGP1rSs75blRyDnoRXDRzXDVans02m9rrc1lRnFXaLlFFFekZBRRRQAUUUUAFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFFAGZrDzrbt9mVXmCMyK3Qt2rkbd76WItqUSJcE/MqjjH5mu1vl/wBW 31Fcbqt6lqJriXoDwPWvkczcvrc6fKne1n1229D0cBTcqiab7WON8RaZFaXaPGMI/wAwX0NGkahY 6ZCzfY83OTh14yDVTUL+XULgyycAcKo7CqQLHdkY54NdsISdLkm/XU+1+qQqUoxrq7Wv9P0Ni78S 3soO11gT/Z6/nWS1ybhyzymR/Vjk1nO0hYrL1U4Hv70sQJkXb1zXRHDwpq0TCnWjB/u4WX4nonhh /O01YlxuDlfzrsoLCGJfmUO3csMiuK8Fxv8AMcfKZBj8BXptqga0wRw2c/nXjxwP1vFTpqVrK589 m9R067itjk7uEQXLIPu9R9KxbLVbw+IHtjABFHyDg5x65966vVLQlWb+KPr7isWzsrVdT+0soWR8 Bmz1ArlpShSVSFaN5Wa9H33/AMznk51acXCVrPXzVttv8jrLe4ESNlSc8jFcN4413901urcv1x6f 54/OurvLhIbV2DjOMDmvG9evTd38j54LcfQdK6suq1sTGNOfwQ/pXOnLMNF1HWfT8zIdy0xJPWum 8IRk6kj9lBNc0F3MOOa7Xw1ZSwxyXYX5dhVB/eNetjqiVF+lj1VBxhNye+2/Xpq359l5HpceswQQ KuVOB1yf8KxtV1yBo2Z5Qq9WJPX2Arzq91W9uZWEkrIAcbF4ArOWUyMQQwI7muN0K9amoVZ3S6aG NHI4QknOWrNz+3byfU0aOQrEXAEfbHvXo2jbt59Nwx9a8t0iAz6pAoGQGyfoK9Z0cBI42bgFic1z 14wjXpRWmq/MnPIwpxUILob9FIGVujA/Q0tfXnyYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQBmeILmWz0ae5hhM0kQDBAOteb6tNPqGgfaZYTE+/cVwenrzXrZAIIPQ1yHiOyDwyR 44IKf4V4ubKEOSry63tfy10tt3O7LKkqeKU+bTt89zyZmCDJz1xxTgQRkHIpJCqFgxHGRUemLLe3 CQRhTvxtwemfUdqpU26cp9Fufd1cZTpVoUpP472+Svr8ixFZveShI4jI59BWvY+CdRkkDl41Ut8y qO31rb8OS2J1Q6VFDICoOZSB+8I6+4r0e3so44wGQE+nYVhD65Oq6cI8qsneSvo9tPM+WzDN6Vd3 oPZ7p2d15owdH0dbNFSNRkDAA7e5rpkQJGqjoBilChRgAD6Utd+BwCwvNJvmk92eJWrSqy5pGHrE hVJsdyFrgdX1+SzujbwRqSo+Zmr0nUbPzkc/wt19j6159r/hyWebzo8LLjHPRvxr5+rTVPGz9ut2 2ux7WUToX5apg3XiK8nt2jYqikYJUdq5mV/MkLflWre6fcW4MdxE0eehI4P41mG3lBxtz7ivVoRp xXuH0NWEYpKkvd8ifTbY3N2iDqWAFey6VokZ05EVfujA5xXmvhWwaS/VyPlj+Zj79q9ksZIoYBGz hSPXisJqliMUqNR6JN721PDzerKmo0477s47VfBq3MpcIyuf4lHWs1fApDZeSXb6EYr1AEMMggj1 FLgeldn9ltK0Kjt8mefTzjFQjyqRweneHI7Nj5SBSeC5bJro441iiCD7qitSZY1iZmRTgelc/qUx jhWMHBbr9K+czXBTozipT5m/Lt8yfrFTFS97ctR3UJl2xyDePSta3m85OfvDqK4oEqQQcEdDXS2c 3MUnZwAfxrXKsXLC14027wlp6PoycVh+RXRq0UUV9oeeFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQAVz/iBMxSfLu6cevFdBWdqtt50Jx3GP8K8zN6bnhm10aZrQko1E2eGTwrDcSAxGMqx OG5K0+wvvsl7FOgyUOcEYyO9b/ijR3SR7lFODxIPT3rk2MpQS5X92SNvr2qsBRhmFGcr3kle353P o8dnCwEMMowXsZvlk+q00sl/XoeoeHNQ02W9meGOJJXCkyYUFj6etd6CCAR0NeC6Pp0d1efvZ/Lj jG7O3oM17pZn/RIxnOBjJpYOFGjUdOlNyuk9Va1rLe+p4GLpV6VaUa0FHXSzvdP5KxPRRRXpHMFY mu6NeajFGNPv/sbBsv8AuwwcenPStuionThPSaT9Un+Ymrq3/AOVvNDjlh8p1BOMMrjhveuZk8Fx edkLOq5+6vI/OvT2VXGGAI96hNpD/c/U14Msnr05P2FTR9/+AelQzOtRVos4230oaXZs6w7IogXI HLNj+tN07xPJqcTyR24iCNjDHdn8a6q6txGPl+4wxz2NcsYBbMYwgTB6AYrxq9L2Up0sRG89GnfS 3XTrf8Cqcp4msqkpaWd13+fka9rqwBwx8tj/AN8mtiK9UgeYMf7Q5FcfV7T7pllWFuVbge1Ohj8R hV+7d12e3y7F18JG3NE6K6mR4gqMGyexrIvbNrnayEBl45q5Vj7HLj7yUqssXmlX21KHwq2/+ZyQ kqPU54aZcEgHaB65rWRPKiVV52AY/CrRtJh/dP0NQXFreNC6wBUlI+VjyAazll+PUk3Tej/ra5dT Ec61ZqqQyhh0IyKWo4EMcKox5A5qSvvItuKbVmcIUUUVQBRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUhAIwRkGlooAydS0lLiNsDIx6ZrzrVvByrOXt8Ix52n7p+lerQxPGZN8zSbmLDcB8o9Bi sG4nttRvryyjSVXtyMsyYG4+h714GYYaWETxOG0X2l016/5nfg8bKlJRltfrrqefw6TqenwKbRUe 5kcKRgMAv4+9esaaX+wx+bjzAPmx0z3rnrawmS6UuuFU53Z610Vkf3bD/arDKsZ7XE8rSvZ6rfp+ Vh5hN1arquV729F6FqiiivpjzwooooAKKo6va3V7pc1vZ3Jtp3Hyyjtz7VJptvPa6dbwXU5nnRAH lP8AEfWnZWvcm75rW+ZYdFkQqw4NZV3pwf76Fh2Zeta9FcGMwFHFpc+jWzW5rCpKDujl30tAeJSP ZhU1tYx27+YW3N2J6CuhKg9QDTRFGDkIoP0ryJ8PSeiq6en/AATd4ubVmVrWA58xx/ug1coor3ML haeFpKlT2RzSk5O7CiiiukQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVVubr yvlXGR1J7VarmtdeVY38sAsWPBOAa8vNsTUoUV7N2cna/Y1ow552ZetNaguJ5Io7mKZo/vqhBZfy rTkjWeLGevKmuD021hsb43UabJZSPM5yPeu4s23W+P7pIrky7Fe2nLDzblFrra/mtOmuhdWjOlZy 38vwMq5uVto9zDJzjHvUlhqKOx25H95TWfrDgSKCeAWP61haTLF9uluYbtpQXGVJ4X6V4FGDw9SV Sk7OLdvPW1mdkaDqUua3/APRQQwBHQ0tV7Nt1uOenFWK+6o1FVpxqLqrnmNWdgooorQQUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWJrUOUc+m GFbdUdRi3oPQgqa8vOKfPhJNdLP+vka0Zcs0zkq6S0umMAePGGHIPY1gPbyxyeWUYntgda17OI29 sFcgMTnHpXx/t6lFqdJ2keniuScUYPie5EdrcEH7qbc+5ridCvTaaigJ+ST5WFd5rul/a4JVyfLk 53Dnaa5nT/C8i3ivJKJApyFjBya9DCVaSoSU3uexgK2HhhZQm9z0TRrrdGFJ/wBk/WtmsTSbN4wM 9d25vb2rbr3cllN4b3tr6en/AA58riOX2j5QooqKGAQ78SSPvYt87Zx7D0FeuYktFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUjKGUqwyDS0UNX ArGyjzkO4Hpkf4VNHDHEPkXB7nuafRXPSwlClLmpwSfkhuTe5FJbRyHJGG9RxTFs4gedzfU/4VYo pywtCUueUE33sg5mIqhRhQAB2FLRRW4gooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDNkneRidxC9gKEnlQ8OSPQ81Z ktFdiysVJ7dqRbJc/M7H2HFfLVMBmn1hzjU0vvfT7jdThbYnik82NXxjNPpAAqgAYA6Clr6eKail LcwCiiiqAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo A//Z