American Indian or Alaska Native Race Alone and Multi-Race Population Concentration - Southern CA
Data and Resources
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[WMS] American Indian or Alaska Native Race...WMS
Web Map Service (WMS) endpoint providing visualization capabilities for...
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[WCS] American Indian or Alaska Native Race...WCS
Web Coverage Service (WCS) endpoint providing direct access to the raw raster...
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[DATA] American Indian or Alaska Native Race...GeoTiff
Zipped file containing the GeoTiff data and associated metadata for American...
Additional Info
Field | Value |
---|---|
Version | Version 5.0 |
Last Updated | March 28, 2025, 08:35 (UTC) |
Created | March 28, 2025, 08:35 (UTC) |
categorical_values | {"6": 1057732, "4": 5511595, "5": 2250671, "3": 4445786, "2": 4850242, "1": 2296366, "7": 765852, "99": 321637, "0": 70834, "8": 770810} |
category | /Social and Cultural Well-Being/Equitable Opportunity/American Indian Or Alaska Native Race Alone And Multi-Race Population Concentration |
collection_name | California Landscape Metrics |
creation_method | Data reporting units are Census block groups. Standard block groups are clusters of Census blocks within the same census tract that have the same first digit of their 4-character census block number (e.g., Blocks 3001, 3002, 3003 to 3999 in census tract 1210.02 belong to block group 3). Block groups delineated for the 2020 Census generally contain 600 to 3,000 people. Census blocks are statistical areas bounded on all sides by visible features(e.g., streets, roads, streams, and railroad tracks), and by non-visibleboundaries (e.g., city, town, township, county limits, and short line-of-sightextensions of streets and roads). Census blocks in suburban and rural areasmay be large, irregular, and bounded by a variety of features (e.g., roads,streams, and/or transmission line rights-of-way). In remote areas, censusblocks may encompass hundreds of square miles. Census blocks cover allterritory in the United States, Puerto Rico, and the Island areas. Blocks donot cross the boundaries of any entity for which the Census Bureau tabulatesdata. See note 1.Data describing concentrations of population characteristics that arepotentially related to environmental justice issues were provided to CWIthrough a collaboration with the USDA Forest Service, Geospatial Technologyand Applications Center. The concentration methodology was created by GTAC forsocial science analysis applications within the Forest Service; it is based onresearch published in 2018 and 2020 (See Note 2). Data were compiled andprepared for incorporating in the Task Force Regions by Mark Adams,Geographer, USFS-GTAC. For more information, contact:[mark.adams1@usda.gov](mailto:mark.adams1@usda.gov).Note; 1) The pixels attributed with a categorical data unit describing therelative concentration of AIAN_ALN_AND_MULTIRACE_2020 population are derivedfrom a vector polygon feature that has been modified as follows: Census blockgroups from the Census Bureau's TIGER/Line geodatabase features for 2021 areselected based on their spatial intersection with the Southern California RRKboundary. The resulting 13,312 block group features are modified by firsterasing from the feature the area of all constituent Census blocks which haveneither housing nor population recorded in the PL-94171 Redistricting datasetfor 2020. In a second step, areas of federal and state public lands on whichhousing by definition is not located are erased from the interim feature. Theresult is a block group feature that depicts to the maximum practicable extentthe areas within the block group where people that are represented by theCensus Bureau's Census count could actually be residing. It is this modifiedblock group feature that has been rasterized to match the 30m pixel grid thatall biophysical datasets are reported in.References for the concentration levels analysis:Adams, Mark D. O. and S. Charnley. 2020. The Environmental JusticeImplications of Managing Hazardous Fuels on Federal Forest Lands, Annals ofthe American Association of Geographers, 110:6, 1907-1935, DOI:10.1080/24694452.2020.1727307Adams, Mark D. O. and S. Charnley. 2018. Environmental justice and U.S. ForestService hazardous fuels reduction: A spatial method for impact assessment offederal resource management actions.https://doi.org/10.1016/j.apgeog.2017.12.014 |
data_resolution | 30m Raster |
data_units | Categorical - Class Code 0: Zero or nearly zero. The variable is absent (observed value = 0) or is very low; the local proportion of the subject population variable is 10% or less than the same proportion in the Southern California region population in total Page | 163 - Class Code 1: Low. The subject population concentration is low; the local proportion of the subject population variable is between roughly 10% and 50% of the corresponding proportion in the Southern California region population in total - Class Code 2: Somewhat low. The subject population concentration is somewhat low; the local proportion of the subject population variable is between roughly 50% and 85% of the corresponding proportion in the Southern California region population in total - Class Code 3: Proportionate. The subject population concentration is roughly proportionate to the corresponding proportion in the Southern California region population in total - from about 85% to 115% of the regional proportion - Class Code 4: Somewhat high. The subject population concentration is somewhat high; the local proportion of the subject population variable is between roughly 115% and 150% of the corresponding proportion in the Southern California region population in total - Class Code 5: High. The subject population concentration is high; the local proportion of the subject population variable is between roughly 150% and 200% of the corresponding proportion in the Southern California region population in total - Class Code 6: Very high. The subject population concentration is very high; the local proportion of the subject population variable roughly 2 to 3 times that of the corresponding proportion in the Southern California region population in total - Class Code 7: Extremely high. The subject population concentration is very extremely high; the local proportion of the subject population variable is at least 3 times that of the corresponding proportion in the Southern California region population in total (the upper limit is determined by natural breaks,if exceptional outliers are present, but is typically over 6 times (600%) - Class Code 8: Exceptionally high. The subject population concentration is so high that it is an exceptional outlier; the local proportion of the subject population variable is typically greater than 6 or 7 times that of the corresponding proportion in the region - Class Code 99: Unclassifiable. The 90% confidence interval for the estimate is wide enough to cause the values to span four or more classes. In these cases, it is impossible to say with any reasonable certainty whether the concentration is "low" or "high." |
data_vintage | 2020 |
date_updated | August 2024 |
element | Equitable Opportunity |
encoding | utf8 |
file_name | SoCal_AIAN_ALN_MULTIRACE_2020_202312_T2_v5 |
format | GeoTiff |
harvest_object_id | 8919a53f-6c17-411e-8f2c-db1d494d47dc |
harvest_source_id | a2637971-af12-457f-ae4a-831d2202a539 |
harvest_source_title | WIFIRE Commons |
maximum_value | 99.0 |
metric_definition_and_relevance | Relative concentration of the Southern California region's American Indian population. The variable AIAN_ALN_AND_MULTIRACEAIANALN includes BOTH individuals who select American Indian or Alaska Native as their sole racial identity (they _only_ identify as American Indian), AND individuals who select American Indian / Alaska Native as one of two or more racial identities (they _partly_ identify as American Indian) in response to the Census questionnaire. IMPORTANT: this self reported ancestry and Tribal membership are distinct identities and one does not automatically imply the other. These data should not be interpreted as a distribution of "Tribal people." Numerous Rancherias in the Southern California region account for the wide distribution of very to extremely high concentrations of American Indians."Relative concentration" is a measure that compares the proportion ofpopulation within each Census block group data unit that identify as AmericanIndian / Alaska Native alone to the proportion of all people that live withinthe 13,312 block groups in the Southern California RRK region that identify asAmerican Indian / Alaska native alone. Example: if 5.2% of people in a blockgroup identify as AIANALN, the block group has twice the proportion of AIANALNindividuals compared to the Southern California RRK region (2.6%), and morethan three times the proportion compared to the entire state of California(1.6%). If the local proportion is twice the regional proportion, then AIANALNindividuals are highly concentrated locally. |
minimum_value | 0.0 |
pillar | Social and Cultural Well-Being |
spatial | {"type": "Polygon", "coordinates": [[[-120.67507971695304, 32.49712128212305], [-115.77464954452921, 32.49712128212305], [-115.77464954452921, 35.286938865864286], [-120.67507971695304, 35.286938865864286], [-120.67507971695304, 32.49712128212305]]]} |
sub_element | American Indian Or Alaska Native Race Alone And Multi-Race Population Concentration |
tier | 2 |