20230615
14123500
1.0
TRUE
Map1
<span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>This layer contains block group level 2020 Decennial Census redistricting data as reported by the U.S. Census Bureau </span><span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>for all states plus DC and Puerto Rico. The attributes come from the 2020 Public Law 94-171 (P.L. 94-171) tables.</span><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'><br /></div><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'><b>Data download date:</b> August 12, 2021</div><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'><b>Census tables:</b> P1, P2, P3, P4, H1, P5, Header</div><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'><b>Downloaded from:</b> <a href='https://www2.census.gov/programs-surveys/decennial/2020/data/01-Redistricting_File--PL_94-171/?' style='color:rgb(0, 97, 155); text-decoration-line:none; font-family:"Avenir Next", Avenir, "Helvetica Neue", Helvetica, Arial, sans-serif; font-size:15px;' target='_blank' rel='nofollow ugc noopener noreferrer'>Census FTP site</a></div><div style='font-family:inherit;'><div style='font-family:inherit; font-size:16px;'><br /></div><div style='font-family:inherit; font-size:16px;'><b>Processing Notes:</b></div><div style='font-family:inherit;'><ul><li>Data was downloaded from the U.S. Census Bureau FTP site, imported into SAS format and joined to the 2020 TIGER boundaries. Boundaries are sourced from the <a href='https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit;' target='_blank' rel='nofollow ugc noopener noreferrer'>2020 TIGER/Line Geodatabases</a><span style='font-family:inherit;'>. Boundaries have been projected into Web Mercator and each attribute has been given a clear descriptive alias name. No alterations have been made to the vertices of the data.</span></li><li>Each attribute maintains it's specified name from Census, but also has a descriptive alias name and long description derived from the technical documentation provided by the Census. </li><li>For a detailed list of the attributes contained in this layer, view the Data tab and select "Fields". </li><li>The following alterations have been made to the tabular data:</li><ul><li>Joined all tables to create one wide attribute table:</li><ul><li>P1 - Race</li><li>P2 - Hispanic or Latino, and not Hispanic or Latino by Race</li><li>P3 - Race for the Population 18 Years and Over</li><li>P4 - Hispanic or Latino, and not Hispanic or Latino by Race for the Population 18 Years and Over</li><li>H1 - Occupancy Status (Housing)</li><li>P5 - Group Quarters Population by Group Quarters Type (correctional institutions, juvenile facilities, nursing facilities/skilled nursing, college/university student housing, military quarters, etc.)</li><li>Header</li></ul><li>After joining, dropped fields: FILEID, STUSAB, CHARITER, CIFSN, LOGRECNO, GEOVAR, GEOCOMP, LSADC, and BLOCK.</li><li>GEOCOMP was renamed to GEOID and moved be the first column in the table, the original GEOID was dropped.</li><li>Placeholder fields for future legislative districts have been dropped: CD118, CD119, CD120, CD121, SLDU22, SLDU24, SLDU26, SLDU28, SLDL22, SLDL24 SLDL26, SLDL28.</li><li>P0020001 was dropped, as it is duplicative of P0010001. Similarly, P0040001 was dropped, as it is duplicative of P0030001.</li><li>In addition to calculated fields, County_Name and State_Name were added.</li><li>The following calculated fields have been added (see long field descriptions in the Data tab for formulas used): </li><ul><li>PCT_P0030001: Percent of Population 18 Years and Over</li><li>PCT_P0020002: Percent Hispanic or Latino</li><li>PCT_P0020005: Percent White alone, not Hispanic or Latino</li><li>PCT_P0020006: Percent Black or African American alone, not Hispanic or Latino</li><li>PCT_P0020007: Percent American Indian and Alaska Native alone, not Hispanic or Latino</li><li>PCT_P0020008: Percent Asian alone, Not Hispanic or Latino</li><li>PCT_P0020009: Percent Native Hawaiian and Other Pacific Islander alone, not Hispanic or Latino</li><li>PCT_P0020010: Percent Some Other Race alone, not Hispanic or Latino</li><li>PCT_P0020011: Percent Population of Two or More Races, not Hispanic or Latino</li><li>PCT_H0010002: Percent of Housing Units that are Occupied<br /></li><li>PCT_H0010003: Percent of Housing Units that are Vacant</li></ul><li>Please note these percentages might look strange at the individual block group level, since this data has been protected using differential privacy.* </li></ul></ul></div><div style='font-family:inherit;'><font size='3' style='font-family:inherit;'>*To protect the privacy and confidentiality of respondents, data has been protected using </font><a href='https://www.census.gov/programs-surveys/decennial-census/decade/2020/planning-management/process/disclosure-avoidance.html' style='color:rgb(0, 97, 155); text-decoration-line:none; font-family:inherit;' target='_blank' rel='nofollow ugc noopener noreferrer'>differential privacy techniques</a> by the U.S. Census Bureau.<font size='3' style='font-family:inherit;'> This means that some individual block groups will have values that are inconsistent or improbable. However, when aggregated up, these issues become minimized. </font><font size='3' style='font-family:inherit;'>T</font>he pop-up on this layer uses Arcade to display aggregated values for the surrounding area rather than values for the block group itself.</div><div style='font-family:inherit;'><br /></div></div>
City of Redding
Census
Block group
Intended for use in ArcGIS Online. Data was obtained from the US Census Bureau, and only includes block groups that are fall within Redding City Limits.
<div style='font-size:17px; font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", Helvetica, Arial, sans-serif;'>Liability Disclaimer:<br /></div><div style='font-size:17px; font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", Helvetica, Arial, sans-serif;'><div>The City of Redding provides the data as a public resource of general information for</div><div>use "as is." The City of Redding GIS (Geographic Information System) Division provides</div><div>this information with the understanding that it is not guaranteed to be accurate, correct</div><div>or complete and any conclusions drawn from such information are the sole responsibility</div><div>of the user. Further, the City of Redding GIS Division makes no warranty, representation</div><div>or guaranty as to the content, sequence, accuracy, timeliness or completeness of any of</div><div>the spatial or database information provided herein. While every effort has been made to</div><div>ensure the content, sequence, accuracy, timeliness or completeness of materials presented</div><div>within this dataset, the City of Redding GIS Division assumes no responsibility for errors</div><div>or omissions, and explicitly disclaims any representations and warranties, including, </div><div>without limitation, the implied warranties of merchantability and fitness for a particular</div><div>purpose. The City of Redding GIS Division shall assume no liability for: 1. Any errors, </div><div>omissions, or inaccuracies in the information provided, regardless of how caused; or 2. Any</div><div>decision made or action taken or not taken by user in reliance upon any information or</div><div>data furnished hereunder.</div></div><div style='font-size:17px; font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", Helvetica, Arial, sans-serif;'><div>Use Restrictions:</div><div>The City of Redding GIS Division grants limited use of the dataset(s) included in this </div><div>delivery to the original recipient and their employees and in-house staff only. The included</div><div>datasets shall NOT be redistributed, in any form, to any other parties, or used in any other</div><div>projects, current or future, without prior consent of the City of Redding GIS Division.</div></div>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