20220511 09093800 1.0 TRUE Map This layer contains census data at the tract level in Durham County, NC for 1950. Fields contain information about race, median household income, occupation, unemployment, and housing tenure (renters vs. owners). Data Culture Society WorkshopDurhamNC This dataset is for use during the GIS Librarian's presentation during the Data, Culture, and Society workshop at UNC - Chapel Hill. Data are made available by the University Libraries and were compiled and processed by University Libraries staff. These data are made available by Social Explorer and the NHGIS, which are made available to all UNC at Chapel Hill affiliates through an organization subscription. /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAooooAzdWGPs7f7ZH5j/wCtVMsFGWIA96vauP3EP/XYfyNZSKtyTI4ygOFB6fWsKu51UH7pK8iR rudgB705WDqGU5B6VGltDGcrGoP0qOzZTEwBGfMc49PmNZmxZoqFpyW2wqHI6nPAppnkjIM0YVfU HOKAuWKKg+0OeUgcr6ninC4iKF94AHXPUUBcloqs94gUmNWfHXAxirCsGUEHrQMWiiikAUUUUAFF FFAEti2zUQP+eiFfy5rYrBVvLuYH6YcAn2PWt6uim/dOOsrSCiiitDIKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAztYQPaxKwyDKM/kapKoVQqjAHQVoar/x5g+jg1QrCrudVD4WF Qy26ycr8j5+8B1+tTUVmbjI41iQKo4FPoopAFMMUZkDlBuHen0UABAIwelVbiGGKF5RHyoyMEirV Mlx5T7sYwetMTHICEUE5IHJ9aWo7fP2aLd97YM/XFCXETvsVwT29/p60ASUUUUhhRRRQBHMCYmx1 HNb6OJI1cdGAIrDYblK+oxWrp7+ZYQt/s4/Lj+lbUnujmrrZlmiiitjnCiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKAKWrD/iWy+2P5is+tHVP+QdL+H8xWdWNXc6aGzCiiisToCiii gAooooAKCMjBoooAgNpHz5ZaLPUI2B+VPMERiERRSgGACKkopisVrfcssiBiYkwFzzzVmoIf3c0k XqS4P1qegEFFFV7mV1MccbAO56n070DLFXtJb/R5E/uSEAe1Ys/2lYv9aoYkAbV61o6Syw3EkO5m L4IJOenrWlPcxraxNiikJAIBIyegpa3OQKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAq6iM6fN9Af1rLByAa170ZsZ/wDcJ/SseM5iQ/7IrGr0Omh1HUUUVidAUUUUAFFFFABRRRQA UhOASBn2paRlDKVPQjBoAgtcurTNjMnIx2FWKpkXFttYMskSjkY2mrYOQCOhpiQ2SVIhl2Cg+tU0 db24f5jiNgVwv9acpzdAzGUFXIXj5ORgc/55q4FAzgAZ5OO9AbkM/wA08Cdtxb8qkVDG7PFI8bNy dp61GvzXrnsiBfx61PRdoVk9yOaSVR9oZy8sfzKenTt+PT8a3IbiKcZjkVvXBrGZQ6lWGQaW2kit rzzZUIUJtVlXOPXpz6VpCetmY1ael0btFZB1G7k5RIowem4Fj/So2uLx/vXO3/rmgH881o6kTNUZ s26M56VgMrPy80zH3kI/lV/RjmwOCcCWQDP+8aIzUnoKdNxV2aFFFFWZhRRRQAUUUUAFFFFABRRR QAUUUUAFFFFAEN3/AMec/wD1zb+VYsX+pT/dFbsy74JFPdSP0rChOYV+mKxq9DoodR9FFFYnSFFF FABRRTJJBGuTyegA7mmArOqDLsFHqTihnVULkjb1zUKxySy75lULtwF60JbMu1Wk3Ipyq4oERNdy m4SNU25IOD3Geam+0r5irtbazbQ3bP8AkVJJGsi4Yfj3FQTwERxJEuVTjGfbGf50BqOmlt5I2jMy DPvUUl1LbqrtsljPUoOfwHerMcKpGqlVJA64pFt40lMgGD6dqA1IreJZESeVD5hO75u3pVqiigZB b/NJM/q+Py4qeoLPm3D93JY/jU9AkFFFFIYUUUUAFWfD5J0eNj1Zmb8yapTuY7eRx1VCR+VXtDAj sTADny3I/Pn+ta0tzCvsjTooorc5QooooAKKKKACiiigAooooAKKKKACiiigAIyCK523/wBQv1P8 66KuciZY7fcxwozk/jWVXZG9Ddk1RyzLEFyCSxwABkmozdx4OBIT6eW3+FLDAAFkkBMxGWJOcH2r E6RC1xKCFQRqeMsefypfsoA+WWRfXB61PRQFiD7NjpPKPxH+FOS3COHLu5HTcelS0UBYKKKKQwoo ooAKKKKACo52KQSMOoUkflUlV704tW9yB+ZApgySBQkCAdNoqSkAwAB2paACiiikAUUUUAQXh/0V h/eIT8yB/Wr2mNsvJI+zIGHuRwf0xVG558lOzyD9Mt/Sp45FgvIZWOFGVJPQZ7/pVwdmjOqrxZu0 UisGUMpBB6EUtdJxBRVO41COFjHGPNlHVQeB9T2qa3uEuYt68HoynqDSur2HZ2uTUUUUxBRRRQAU UUUAFFFFABRRRQAVyvMzfZww8vBLEd+eldVXORwxxzTFVAIcjNZ1djah8RNRRRXOdYUUUUAFFFFA BRRRQAUUUUAFFFFABVe4G+WCP1fcR7Af/XFWKg+9ff7kfH4n/wCsKYmT0UUUhhRRRQAUUUUAQS/N dwJ6bn/LA/8AZqnqD71+f+mcYx/wI/8A2NT0xCRmSBt0DlPVf4T+FTS3lxOoU4iX+LYeT+PaoqKa m0rEunFu9hFUKMKAB7U6OR4JfNj69GX+8KSiknZ3KaTVmbMMyTxCRDkH9KkrBHmIT5crRhuoXvV7 SWcwzb3Z8SkAscnGBXRGakcc6bjqaFFFFWZhRRRQAUUUUAFFFFABWAP9dP8A9dWrfrBb/j5uf+ur VnV2NqHxC0UUVznWFFFFABRRVd53bIt0D46sxwo/xpgWKQkDqcVnxSzyRh7l3QH/AJ4rx+PU1MiW TsBuV29JGJP5Giwrkpu4AcCQM3ovJ/SpVYOoZTkHoaAoUYUAD0FRMphYugyh+8o/mKAJqKRWDKGU 5B6GlpDCq9sMyTyf3pMfkMf0qckKpJOAOSaitARaxlhhmG5vqeTTETUUUUhhRRRQAUUUUAQQ/NdX D+m1PyGf/ZqnqC15WR/78jfp8v8ASp6YkFFFFIYUUUUAFXtJH+jSN/elJ/QD+lUa0NJGNOj9Szf+ hGtaW5hX2Rdooorc5QooooAKKKKACiiigArCfi6uB/00JrdrDn4v7ge4P6VnU+E2ofEJRRRXOdYU jMFUseg5NLSEBgQehoAro32sZDYhPYHlv/rVYAAAAGAKz4mihVkDCOWJivsR2/TFWEvoGXLOFI6g 0xJjrX7sg9JG4/GpWjRxhkBHuKrWU0c5mkRwwLnp7cVJdz/Z4GYAs+DtUDqaA6EKW+27kRJZEUKp VQ3A654/KpvJm/5+Wx/ur/hUCTwwq05WZjtyz7SeOtT+bM/+rhwPVzj9KBKwyNDayhC5ZJO57GrV Utkt08iysoEZG0J/e9aswyeZHk8MOGHvQNDLs/6K6jq42D/gRx/WpgMACobv/VKO5kT/ANCBqegO oUUUUhhRRRQAUh4BNLUVw/l20j/3VJpgNs/+PSNv743/AJnP9anpkSeXCkf91QPyp9AIKKKKQBRR RQAhOATWnpo26fF7gn8yTWW/+rb6GtiyGLG3HpGv8q2pdTnr9CeiiitjmCiiigAooooAKKKKACsW 6H/EzuD7J/Ktqsa7/wCQjN7qv8qip8JrR+MjooormOwKbI4jjZz0AzTqguA5aNgm9FOWAPPtTAdB Htjy4+dzub61CW8i5mAiZg4DjaOM9Dz07D86Wa7Hkt9nw82PlQ+vuKsIyyRqw5VhkfSgRXcRyWxn VdrbdwI4IqMSShoZZlzGq7t6c8kdxRaiVFMLeW1vGCu7BB/nQWJ0ljznacUxElzIk9mUicN5w2KR z16n8Bk/hTZZbq2iZiqzAdCPlOScAY/KpJbYB/OhVRMo49G9j/jSPLFcxPCHCykfcY4YHtxSAfbx NGGLkFnO4gDAFI/7m4En8L/K317GlgkZ9yOuHTAODmnyqHiZWGQRQMjk+e7hTsuZD/Ifz/Sp6p2L GXdMxydiKfrjOf8Ax6rlAIKKKKQwooooAKgvObcp/fIT8zip6guPmeBP70gP5c/0piZPRRRSGFFF FABRRRQBHcEiB8dcV0CKERVHQDFYtvH519En8KfO34dP1rbropLS5yV3eVgooorQxCiiigAooooA KKKKACse/GNSH+1Hn9a2KyNQ51JfaL+tRU+E0pfGiGiiiuY7QooooATaM5wM+tQ2vyK0H/PM4H+7 2/Tj8KkeaOMEu6jHXJqCQ20n73zdpxjcrYOKYhkluYdirK/lu+CufX3qW8Q/Y38vhkGV9MiqsrOy bYpXcAgjMZP61MJ5pImElq4BGMg5z+HWmIeguZFBaREz02DP86iitlS6ljkBl8359zHPoKfbXUfk qjtsdBghhg8d6QTFrtnijaRSgUEcDIJ7/jSAkFoIyWhdoyeo6j8jQZjGCk5UZBw3QGl23En3nWMe ijJ/OkNrEFLMC7Y6uc0D9CLSvm0+N+7c/lx/SrtQ2gAs4MDHyL/KpqGC2CiiikMKKKKACoJPmvIV /uhn/p/Wp6gX5r5z/cQD8z/9amJk9FFFIYUUUUAFFFMkyV2r95ztH40xN21NDSo/3Tzn/loePoK0 KZFGIoUjHRRin11JWVjgbu7hRRRTEFFFFABRRRQAUUUUAFYeptImpBlXevl8gdetblZGo/8AIRj/ AOuR/nUVPhNKXxopfaGPC28pPpgD+dG65bpHGg/2myR+A/xqeiuc7CDy7n/nun/fv/69HlTPxJMN vogxn8anooCxGsESYxGuR3IyfzpfKj37vLXd645p9FAwooopAIVB6gH60tFFABUVy5jtpHXqFOKl qC65jRf70ig/TNMTJY0EcaoOigAU6iikMKKKKACiiigAqCD5p53/ANoL+Q/+vU9QWvMbP/fcn+n9 KYieiiikMKKKKACrOnQ+bM1ww+VMqn17mq8UE90P3Q2If+WrD+Q71swxLBCkSDCqMCtqcOrOetUV uVD6KKK2OYKKKKACiiigAooooAKKKKACsnUf+QhH/wBcj/Oiion8JpS+NEFFFFcx2hRRRQAUUUUA FFFFABRRRQAVWuSVlgYI7gMchRnsaKKYmCXgkXKwTYyR930OKQahbMcJJvb+6vWiinYnmYovoXO2 PdI46qo5FKbtUGZI5EUdWI4FFFFgu7Ekc0coBjcMD6VJRRSKQyU4ic/7JptuMW0X+4P5UUUB1JaK KKQwpkqmRREpw0hCA+me9FFVHcmbtFm+oCqFAwAMACloorqOAKKKKACiiigAooooA//Z