American Indian or Alaska Native Race Alone and Multi-Race Population Concentration - Northern 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 |
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Last Updated | January 17, 2025, 06:42 (UTC) |
Created | January 17, 2025, 06:42 (UTC) |
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-visible boundaries (e.g., city, town, township, county limits, and short line-of-sight extensions of streets and roads). Census blocks in suburban and rural areas may be large, irregular, and bounded by a variety of features (e.g., roads, streams, and/or transmission line rights-of-way). In remote areas, census blocks may encompass hundreds of square miles. Census blocks cover all territory in the United States, Puerto Rico, and the Island areas. Blocks do not cross the boundaries of any entity for which the Census Bureau tabulates data. See note 1. Data describing concentrations of population characteristics that are potentially related to environmental justice issues were provided to CWI through a collaboration with the USDA Forest Service, Geospatial Technology and Applications Center. The concentration methodology was created by GTAC for social science analysis applications within the Forest Service; it is based on research published in 2018 and 2020 (See Note 2). Data were compiled and prepared 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 the relative concentration of AIANALN population are derived from a vector polygon feature that has been modified as follows: Census block groups from the Census Bureau's TIGER/Line geodatabase features for 2021 are selected based on their spatial intersection with the Northern California RRK boundary. The resulting 1,207 block group features are modified by first erasing from the feature the area of all constituent Census blocks which have neither housing nor population recorded in the PL-94171 Redistricting dataset for 2020. In a second step, areas of federal and state public lands on which housing by definition is not located are erased from the interim feature. The result is a block group feature that depicts to the maximum practicable extent the areas within the block group where people that are represented by the Census Bureau's Census count could actually be residing. It is this modified block group feature that has been rasterized to match the 30m pixel grid that all biophysical datasets are reported in. References for the concentration levels analysis: Adams, Mark D. O. and S. Charnley. 2020. The Environmental Justice Implications of Managing Hazardous Fuels on Federal Forest Lands, Annals of the American Association of Geographers, 110:6, 1907-1935, DOI: 10.1080/24694452.2020.1727307 Adams, Mark D. O. and S. Charnley. 2018. Environmental justice and U.S. Forest Service hazardous fuels reduction: A spatial method for impact assessment of federal resource management actions. https://doi.org/10.1016/j.apgeog.2017.12.014 |
data_resolution | 30m Raster |
data_units | Categorical |
data_vintage | 2020 |
encoding | utf8 |
file_name | NorCal_AIANALN_2020_202401_T2_v5 |
format | GeoTiff |
harvest_object_id | d3e24665-8927-4635-9679-3a7c3a10ef2a |
harvest_source_id | a2637971-af12-457f-ae4a-831d2202a539 |
harvest_source_title | WIFIRE Commons |
maximum_value | 9.0 |
metric_definition_and_relevance | Relative concentration of the Northern California region's American Indian population. The variable AIANALN records all individuals who select American Indian or Alaska Native as their SOLE racial identity in response to the Census questionnaire, regardless of their response to the Hispanic ethnicity question. Both Hispanic and non-Hispanic in the Census questionnaire are potentially associated with American Indian / Alaska Native race alone. 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 Northern California region account for the wide distribution of very to extremely high concentrations of American Indians outside the San Francisco Bay Area. "Relative concentration" is a measure that compares the proportion of population within each Census block group data unit that identify as American Indian / Alaska Native alone to the proportion of all people that live within the 1,207 block groups in the Northern California RRK region that identify as American Indian / Alaska native alone. Example: if 5.2% of people in a block group identify as AIANALN, the block group has twice the proportion of AIANALN individuals compared to the Northern California RRK region (2.6%), and more than three times the proportion compared to the entire state of California (1.6%). If the local proportion is twice the regional proportion, then AIANALN individuals are highly concentrated locally. |
minimum_value | 1.0 |
spatial | {"type": "Polygon", "coordinates": [[[-124.5090833859125, 37.98548142562645], [-121.17629906020476, 37.98548142562645], [-121.17629906020476, 42.10983355898506], [-124.5090833859125, 42.10983355898506], [-124.5090833859125, 37.98548142562645]]]} |
tier | 2 |