20240208
14001300
1.0
FALSE
TransitPropensity_Final
002
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
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/3.1.0'><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],AUTHORITY["EPSG",3857]]</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>
20240215
16380100
20240215
16380100
Esri ArcGIS 13.1.2.41833
TransitPropensity_Final
CATS Red Line10385767Red LineO LineLYNXCATS
Transit Propensity for the half-mile corridor of the Red Line.
Source: ACS
File Geodatabase Feature Class
dataset
EPSG
6.18.3(9.3.1.2)
0
Simple
FALSE
0
TRUE
FALSE
TransitPropensity_Final
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
GEOID
Geographic Identifier
String
11
0
0
NAME
Name
String
50
0
0
RLP_Over65_PopDens
RLP_Over65_PopDens
Double
8
0
0
RLP_Under18_PopDens
RLP_Under18_PopDens
Double
8
0
0
RLP_Poverty
RLP_Poverty_PopDens
Double
8
0
0
RLP_Disability
RLP_Disability_PopDens
Double
8
0
0
RLP_Minority
RLP_Minority_PopDens
Double
8
0
0
RLP_ZeroCar
RLP_ZeroCar_PopDens
Double
8
0
0
RLP_Over65_Score
RLP_Over65_Score
Double
8
0
0
RLP_Under18_Score
RLP_Under18_Score
Double
8
0
0
RLP_Poverty_Score
RLP_Poverty_Score
Double
8
0
0
RLP_Disability_Score
RLP_Disability_Score
Double
8
0
0
RLP_Minority_Score
RLP_Minority_Score
Double
8
0
0
RLP_ZeroCar_Score
RLP_ZeroCar_Score
Double
8
0
0
TransitPropensity_Score
Transit Propensity Score
Double
8
0
0
Tot_Pct_Disability
Tot_Pct_Disability
Double
8
0
0
NC_Average_Disability
NC_Average_Disability
Double
8
0
0
Tot_Pct_Minority
Tot_Pct_Minority
Double
8
0
0
NC_Average_Minority
NC_Average_Minority
Double
8
0
0
Total_Pct_Over65
Total_Pct_Over65
Double
8
0
0
NC_Average_Over65
NC_Average_Over65
Double
8
0
0
Tot_Pct_Poverty
Tot_Pct_Poverty
Double
8
0
0
NC_Average_Poverty
NC_Average_Poverty
Double
8
0
0
Tot_Pct_Under18
Tot_Pct_Under18
Double
8
0
0
NC_Average_Under18
NC_Average_Under18
Double
8
0
0
Tot_Pct_ZeroCar
Tot_Pct_ZeroCar
Double
8
0
0
NC_Average_ZeroCar
NC_Average_ZeroCar
Double
8
0
0
RLP_Over65_Pct
RLP_Over65_Pct
Integer
4
0
0
RLP_Under18_Pct
RLP_Under18_Pct
Integer
4
0
0
RLP_Poverty_Pct
RLP_Poverty_Pct
Integer
4
0
0
RLP_Disability_Pct
RLP_Disability_Pct
Integer
4
0
0
RLP_Minority_Pct
RLP_Minority_Pct
Integer
4
0
0
RLP_ZeroCar_Pct
RLP_ZeroCar_Pct
Integer
4
0
0
Pct_Over65
Pct_Over65
Double
8
0
0
Pct_Under18
Pct_Under18
Double
8
0
0
Pct_Poverty
Pct_Poverty
Double
8
0
0
Pct_Disability
Pct_Disability
Double
8
0
0
Pct_Minority
Pct_Minority
Double
8
0
0
Pct_ZeroCar
Pct_ZeroCar
Double
8
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20240215
/9j/4AAQSkZJRgABAgAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD2gfLO47MN39KlH5VCSBcD0K8fn/8AXqXOeB+dZw6+pUhT60ZyKBj8aDVCCms2xS3UDt3pfrUFzcGBY2WF5AWIOxCxA2k5wB6gD8aEwJkkSTO05x1p1Y0Go3D3gLabPCrqcsyY24AOSe/XH4GltdYupkTzdLnR2ZV4BxyASc46A5/znFOPVCT7lq5lg+xnCna55CnBqhF5iOVjjZmx8objANRT3xYpu0+4SSU5zjO3ry3HHSrlpdssId42ZjySeo4ziuqDtHRXMZL3tSwJpYVjiMajcMBicDpTbYGHU7iPeWDoshPbPI/oKuKVlB3IeP7y1UXjVLnPUwqR9MmuaUvI3gixF+8laUDCsMD3x3qYMp4BGfTNU/NbyI02MqkAFj/SqkeraddBRE6orKG3smMDnj2Iwc+g5rmlVbk1HWxpy9WazvswMFmPQCmkzN0VV+pzVA6pZRSBmvEZQAAScEZ5GfqBn6DNPl1qxii80zBxwcJyecY4/EVUby30JdltqXPLkYYaQbe+1cf1p4AUYAwB0AqOC5hulZoJFkCsUYqc4PpUpHAqlFLVCu2HT60Ec9aZHKsq7lzj3GKcTjtVCDP1zWVeazZw3TxTyHEWNwC5APbNXru6S0gLsfmPAFZq6HHeP9ouvMjL43Qo2AwHTf6mqilu2UtNWi9bwPLKLm5H7z/lnH2jH+PvVmUExOo5OD+NOxzgUvSpu73FcqtBb3sXlTKWA2lo3HGQQRx9RRUkvyzRP7lT+P8A9cUUNAzPbRLdQI/td0OQygSAbQMYA44HAq3Y2iQIXV5W3gcO5bGM9M/WmW87XMYikA81XKS7enH9DxV/oKnXmfkNqy1DpTRmlPXFBJxxVEiHnjGB/OmSI8kTqkhRipAfGdp9afjI60DIODS6gZaabMN8jXJkYSl8OpII24C9eg/z61ntDeRQRbtQkGXZiwTJ6YA5OAB/jXSHBGO1Zd2k1wfIheMAYbC9sN0/Kt6dnuZzutjOgjkFwJJLssMqWXy/vDGCBzwD+lb9vHHtMqqQH52ntXMyC5s7ok38QyVAVUBwN2Bj65AqdZLoSPKNUVRvZjGzDI5JI5PTGKuotNCYvubstz5WQB3G0Y65qhuml1dkkGwtEFx7E8/yrLWS5ndVTUfMlKjYfLU85znj2q5bQy3V1NbSv5s6omZZE7A5PAx14FZTapw5rGkHdm4ibFx1A6VUbT7JJVH2aIKcYwuOQMfy4/CrUDF4IyfvFefr3pzKGUqwGKwabWhadtyBdOswABbxgZDDA7jOPyBI+nFJ/ZdgEK/ZYsYGfl646VPESYxk5IJGfXnFPAzz1qovmSYNWdiCO0igUrCDECSxCnjn60/Y4Pyyt9G5qXGetITwSe3epcExqTMlrfU/mMcoDZfIZ/lfJG0jH3cDP/1+phI1GOTZKLc/LksASQSv9G/MVqNOWtjKo29ME9h61C8Eklq7RYDYzGG6E+retUoR3kgi9LmXFBqUzMR5bSQOAN5LZbaeSfY7enbOADgDUtRqYuj9raEweXx5Y53Z/wAOfx9qTTRKyGRzCd2dxhUqCc+/OeDV81TfQTM6e8vo3PlWRkUMwODjjB24/T86ZBfam8ipJpuwFj8xk4A3Adgexz74/LVxQenepERzqWgfHUfMPqKKkx60ValYpOxR05Asl4yjgzFfyAH881eNZGn6rYRWkcZuB5m0O5IPVi2TnHqrfTFaFtdwXkPnW8okjPcfTP8AIg/iKl72Qm7sl+vWndKapY8sMCnZ5oEA9PSgikOeooPQkdaAKtxqFtazJFLIVd8bRgnPX/D+XqKgbWLHbvgmicYJyp4PQdfXJFThILgRyTQo8inglNxHIP4cgH8BUM+l2UsXEMSooA4UAcHI/AelONrieqMxZbS4vSXKsXZVChiTwcj+pyaZcw2jzlkgAYHIbJyDxk5H0H5U6S2WCT5VTcTn5VGT78fjTrePdLhkJGDkcA/rXoKCtzSOVyeyIreKOyAlgt0iIJPmc9T19qm0+8lS5MhTfiRmdgRkqeP5j9Ks3TQ6fCGM7xCQHaBksDgjIx3GazLEJqV/dStcSbXJQ5+86EkZ9iPlHtn8a4MXVXLyQS1OujSlbmnex0NjcJdQvLHwhkbaMgn36e+asB0ZtoYFiM4zzisx9AtHlMkktwzsoViXAz054A7ADjsKafD1mSTvlGeOCvTG3rjPQ1EUkkgNSH/VAdwSP1qTPy1nWmlpYztLBgs27JbjOduegx/CMDtk1aecxcyRkDPUHIqYySXKU1d3J8Go5kd4iEbafWkzMQSAqD35NVzdhPLSWeJHcFhkHoOp/Cl7S0lZMOXTcluMLbFAOuFUVJCwaCMnjKjis+We2SclLiJ8pjmQZyf61O2oWsVsoW5hHyDkODjjitIttWe4SSS0EsX8u6ubbtuMq/Qnn9c/nV0gEGs3SWikV5vMVppOSueQvb+efxrS96crXExeooxQKO9KwgFFA60UWAxY7SyW9uPNjgZeNqhlBGM5+XOccn65rVgtobZDHBGsa8cKMdAAP0AH4VSuoIoruGRI08yeTa/yAswxzz17Vp96b1AbzRxnjrS9KMDqaSAKTODQDg+tLQBn6pGosi5RWCSLKASwwcgZyCKsyxSMpEcoXJJLfrSXcLXFpLCCAWXC/WltJhcWqSY2lhgqexHBqrtaoLJoxbhTDOCJA0nU4HQ1I12wQA7WfnJH6Vcl08S3LfNtAAwMZzUKaXIJCDgL2bPP1rsVSnKK59zl5Jp6EFzp41TTQcyJJDkxMCMnI5HI71WisYrKKzurcHbsIlVvmMnXOT75P44rovKZUVEOAByfWufmkjtrWASyOphuPLIycHv+uK8/EScqbSR2UVbQ24Zle2USbi/K4IyxwcZx+FPRlIJyxcD7p6/lUdqcBtigqZHy3/AjVhkVhhgDWced6h7o4HIGRjiq1+GNqxXscn6VL5Qz9+T/AL6NI8BdGXzHwwwc81pGcoyTsJxTVrhBMs8bMpyMnBxVZ7C2vHZ5UYhQyo4YqcH7w47U9LVra2dUlJGD1FQxyXd3uW2kjjhQ7RJt+8e+M9velJ3qaKyRUY+5qyC40PToLddsDBUVU4dshQcjv61StdM0+7eNbeSOSIsTJ5crHGVAIHTrjmtN7Jwha7lknUdt+B+QAzU9pH5QCuuHHI6dPw71fOrCcbLQW2021tJWmgjKuy7SdxORx/gP8mrY6UnXil9aCQHH40hIzSjpRgHrQACimACPc2cZ6kmik5RW7Gk2UbyXZeWjHHyyFTg9MqRWiT3qlqoVdPkkPBTDqR1yDmoJddtIBKsgkWaEEvCQCwAx3zg9R371W4uhqZpPwqtb6ha3czwwTB3UcgAjHOPSrXUUgFqtc2pnZSszxEAr8vcEg/0H61OexpTQBlNpOASdRvcHPWXPJGKgh0lbqJWa4uopVZsYbaQNx9s9DW0QSARjcDkZGR6f1rN07McfkJgPE7hkyTjJHOSScdDVJXDoaIwJj6lRinmq63MQdx0ZepbuPX6U+IEqctkgkdaU01uJMkO70Fc/rVp9qu1gzsEuHB9XGQAfqSBXQYxWdrCO0EUsYG6NwfwP/wBfFStbouLad0VLW11FGdLa9X7M8iOC4+cKV5wMEcn8sGpYLTWlIEl/EQcFtqjOc5OPl4GOB/nE1tewBPP81QhYowY4KHeduR75xUc2tpHM8aW8rxqQDKuMdM5HrU023EOVsjey1iaEpJfRhsLgrkdOvIFaFml3FC4vJklcuSpRcAL2FOhkWb5kmjkA4ypzSXkgis5XY4AU/nVXvoJIgLT38kkcUnlwIdrOPvMccgenWrkMSwQrEgwqjAAqCwj+z2MauQHPzP8A7x5qR3ZmMcQ/3mPRf8abV9EN9ipqBke4hA8xoArbhHIEw+RtLcjI+9wM/Q1RD67LAJFSIsoygfaNxwM5IPAB3fUYraSCNNpI3MO57fShoWBZo32Z5KnkUOzVmJGWJNYebag2oGUFnCZAyu48H73L+3A71b0r7cYpWvwVlZgQMjA+VcgYJ43bsd6WSZ0YPuQ4I3bAelWQZJPukxr6nkms1Ppv6FOHUkOFGc8fWo/NZj+6XI/vHp/9elEIJ+dmfB4DdKk6UWk99BaLzIghJzI+7HOMYFFSY5H50VSgkJtsy9We7AkjSISQNFjAjYncTjqM8e22qdvdeYoA0AZU+U7FF5XJzjAPcNx9D3rdlkEEMkrAlUUscewzWNFrNtZS3ySq6OjGUxYBYcDPQ46kd+9WthEUd9NbYl/sYQqzqgKoQVBVc5IXpuOOM5x0rdt5TNbxStGY2ZAxRuqkjpUUGoWl5K8UMwd0GWGCMc47j1FWFYcA8HHSgDOl1uC3vZ7edSiRFQZDnGCuc9P845qNvENoASqTMAxVsptxg4PX3rWKg5yAePSowkbgkIuGPIK9/ekBQTXrF+UMpUtsBKEAnn19cGmySQzx297GdkkqKxTGd6nnB/PrWn5aHcCi4PUY6k0wQqLgOigHGGP8hVRaTuxO9tCq0jzKYzaAjHQnHPtTLdbmN8DcgP8ACfu1cuJ0tk8xgWJO1VXqxPYVh2thqEt2UuDdLFj947zAq/HYA+tVzc0WthKC3bNua7t4EBklXPTA5JPsKwdb/tC4WG4QbYt5QQF9jNnoSfwPFb0Nrbw4McMakDGVUZqprPzW0B54nXt9amFuZGqdnoULXSpP7PtftJilfzGEm4ZPJAOD+BrUfSrGS6S5a1QzJ0bp06cdKw9NEV3raXUbHJZ2OGxkc8EdD1FdRzXPRne8l1bKqwcWk3conT43Z3VTC3Z0OCP8R9ahspW1GYGdlIgxhV6O39/6elWNQkJjFrGf3swIyD91e5NV7pCqpdRLtjhAUheCyd/wrogtCVsXnPmSbI+Mfefrj/69SRIsa7R75J71lLqdxF5MY08kSHAZXwqjA5JwfWg6pfZj/wCJXJ8xXIyehB746gge3PaputkSakiA/MWKgc5BoVDN8752nkJ/jWYuoyyXcMc1nJGksjJGHJBwADnGP5+hrXz82AKy5OZ3ew7pbAVG3GOPSoYm8uQxNnH8BPcelTA8nFRXI/cMcdOR7GtkuhNyVSSSCMY7+tKSOnekBOOQaAATkdemaQCjqaKDnouPxop2AjlAET+YN6EHKnuKo21nZPNK4tYgpUKFaMcDrj6Z5qrbrp4h23N20yxEJvnfCk5IzjPOSDyevams2jGWfdMkYQY4crtO0Nn8iDTVktRpGvDaW8Lb4oIo2xjKIAcf5H6U99gYA59jnFY8Oq7dqTy7wDtV4WBLEAHkdc4NSz6xaxeXtd7ks2BGq/MMAn29KzvLoiuS5qK2FxnJGTj2rKj1xmQNPp11HlA3C55/iHboc/UDNPi1mxkCShmjyWUqVORg45xnuKvQXtvcEiOUFh/CeD+Rq7MnlaKg1MsGK2s+BHvBcYDcZAHvxTG1WSNSosZzLySCB646jP1q/Nu+RV/ibn6dalzxSewupm2kp1OZbrYyRRghFYYO49T+X860ee9VNKx/ZyHjksf1NXPr1pS3sUxCuWB7iqV+vmvaxOeGmyfwB/WrE8sVqjTSNgdPc+1Z91NdXEa4tlgVWDrJM4GMH0GfWnFa3BaamTqugyQI81q21I1Lrh9u3A/z71d8MXV/PaE3rCRCCYpCecA4Of8A6/vVDXrm7vIfsLTRRo2Cxh+YEEZHJ7Y5/KrelaPcRsZL8xxxCIRJDE5A2g55/wAnvWFOC9o1F7bnTOT9ilPW+3oXo3NzdyT7SyN8i47qP6E/yq+IjJxJjGMbB0/Gm2kaJESq4DMSPp2qZiyjKrnnBrSok3rsc7lbYz5bYaaPtNuzCIH95EeRjuR6VojBAYHg9KGUOrI4BDDBHqKqaax+yeSxJeFjG34Hj9MVe6E9dy5R/KlFHegkXGOlRzKWgkUDkqQKf+NHNNANRg8akdwKXA/OoYhtklQD5QwwPTjJqRnAYe/FDQMeKKRmVACxAHvRUOcU7Nj5W9iidI09pfMMHzbg4IdgAQSeOeOST+NV00nTyrA22Y3O0LubBAAXkZ54FaUp2xlskbRx7mljQpCgC84GRVO9g6FWPTLGK7+0x26iXcX3ZP3iME46dKdd6daXsflyx4wchkJUg+xH1qyWVTjueeBVCfWba0upYJwyFNpBwSWB/i+mTj60JvdCEmtUstPkW0U7okZkjOW3Hn8ck/jWYz3V4q+ZpUmAh9RzgHjrgdR+XTmrz6xZyzpGBIVchTIE+XJJUfqKUa1DAJUniePyyyhtp2thtpI/HHr94e+C1/e6jUpLQz3ieNSV0p22ruG9ief7vTn/AA9+K0pLaOFGkgjmt2AzlGyD9R6Uv9pw3F2scQkPlbmclcDAwP8A2YGrbHz7SVifvKwA9BitLuybEp62M2xvJLW1iSSDcpUEMh559Qf5irY1NOht5w/ZQm7P5cVXt7iT+z7bau7Me38altyHYvJ+7O0FSpx+lTJxu7mlk+hJBbtPK1zdoc5Ijjf+AfT1NYevaiuhwhYZFYuMrC43+Xg9ee2ccH8K2bi5khtpHaR+ATyAM+lYl3oA1ARy3CyTSKdzLnaG56A1k6sbaM0pxV7z2GaFZy6i0N5LhhgN5gHBb2/X26DtXUrbxAcoGPctyTXOx6fcf6TGlmYncq0Lq64iT5flAJ45B7EVJjXZpgI5PkXem8+Wcjc20kf3sbeMYpU4qMfdZNWblK9jo/8APFKO3vWALbWYmaGKV1Rncq4KYwzuSW4znaUxjjPWoUg1+KIbbmYFjGWaXynKjywDgZH8YJPPcY71XmZHSkc8VQvlWCeG5jJR2kVHA6OD6/QVZMymQFX+THPymq96WkjSS3XzHhbzPYjGCPyNKNSN7JlKLL2c9Pwphc7tkYBbuT0FQQSG6Xek2YyByBjn0qyFWMYUYFSnKelrA0o7jAsp/wCWo/75p2yT/nr/AOO04ZxTJn2oNoy7cKPeqVNef3sXMyKKMu8rl25bHHGcVJ5C9dz/APfRpyJ5USoOcfrT6coRfQOZkaxoG3ck+pOcUU8c8H8aKXLbYV2yKcf6r/roKmPSiitGAgUB93fGKZ5ELOXMSFiQc7RnI6GiipEAt4YwNkUagcDCjjmq91HFDi48pWIPII6570UVpT1kkTLYW4CG2c7FDNGeQOnH/wBYVYAKwAZz8uMmiijoC3M/TlL2UCghdsYPTPWpmUWsiMPmz8pzRRWMFzSu+7N3o7HLeJLy4g1eWJZX2lYyg3EBc8dO/PNdi48qHj+EUUV0V4RUItIyUpPRvYZ0lb/cB/nTngRnLYKnHVTiiiuOm2lp3Zb3I4UDtIshLlDgEmpRBHkHb+fNFFaSpwbu0Dk+5IOQKBwcUUUyTOsvl1C6C8KyrJt7AkkH+QrRJ4ziiimm+RPyQ5/Ew7ZqEHdeYPRF4/GiinESJ/ekB6UUUCFPXNFFFAH/2Q==