Hispanic and Latino Population Concentration - Northern CA
Data and Resources
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[WMS] Hispanic and Latino Population...WMS
Web Map Service (WMS) endpoint providing visualization capabilities for...
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[WCS] Hispanic and Latino Population...WCS
Web Coverage Service (WCS) endpoint providing direct access to the raw raster...
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[DATA] Hispanic and Latino Population...GeoTiff
Zipped file containing the GeoTiff data and associated metadata for Hispanic...
Additional Info
Field | Value |
---|---|
Version | Version 5.0 |
Last Updated | March 28, 2025, 08:36 (UTC) |
Created | March 7, 2025, 07:53 (UTC) |
categorical_values | {"3": 6984840, "2": 15227049, "5": 1707674, "1": 1675586, "6": 254691, "4": 4249105, "7": 1445, "8": 2528} |
category | /Social and Cultural Well-Being/Equitable Opportunity/Hispanic and Latino 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 HISPANIC population are derived from a vectorpolygon feature that has been modified as follows: Census block groups fromthe Census Bureau's TIGER/Line geodatabase features for 2021 are selectedbased on their spatial intersection with the Northern California RRK boundary.The resulting 1,207 block group features are modified by first erasing fromthe feature the area of all constituent Census blocks which have neitherhousing nor population recorded in the PL-94171 Redistricting dataset for2020. 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.2017.12.014Data were derived from the 2020 Census Total population for the block groupfrom the redistricting file (PL 94-171) of the 2020 Census, released summer2021. The raw data were obtained directly from the Census Bureau data settable named in "Origin"; all data sets downloaded from census.data.gov andjoined to TIGER Census block group features. There are 1,207 Census blockgroups within or intersecting the Northern California RRK region boundary. |
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 Northern California region population in total - 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 Northern 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 Northern California region population in total - Class Code 3: Proportionate. The subject population concentration is roughly proportionate to the corresponding proportion in the Northern 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 Northern 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 Northern 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 Northern 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 Northern Page | 197 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%) |
data_vintage | 2020 |
date_updated | August 2024 |
element | Equitable Opportunity |
encoding | utf8 |
file_name | NorCal_HISPANIC_2020_202401_T2_v5 |
format | GeoTiff |
harvest_object_id | fdadd9ae-ba2c-4d21-a9ee-13964db4e1ab |
harvest_source_id | a2637971-af12-457f-ae4a-831d2202a539 |
harvest_source_title | WIFIRE Commons |
maximum_value | 8.0 |
metric_definition_and_relevance | Relative concentration of the Northern California region's Hispanic/Latino population. The variable HISPANIC records all individuals who select Hispanic or Latino in response to the Census questionnaire, regardless of their response to the racial identity question. "Relative concentration" is a measure that compares the proportion ofpopulation within each Census block group data unit that identify as Hispanicor LatinoAmerican Indian / Alaska Native alone to the proportion of all peoplethat live within the 1,207 block groups in the Northern California RRK regionthat identify as Hispanic or LatinoAmerican Indian / Alaska native alone.Example: if 5.2% of people in a block group identify as HISPANIC, the blockgroup has twice the proportion of HISPANIC individuals compared to theNorthern California RRK region (2.6%), and more than three times theproportion compared to the entire state of California (1.6%). If the localproportion is twice the regional proportion, then HISPANIC individuals arehighly concentrated locally. |
minimum_value | 1.0 |
pillar | Social and Cultural Well-Being |
spatial | {"type": "Polygon", "coordinates": [[[-124.5090833859125, 37.98548142562645], [-121.17629906020476, 37.98548142562645], [-121.17629906020476, 42.10983355898506], [-124.5090833859125, 42.10983355898506], [-124.5090833859125, 37.98548142562645]]]} |
sub_element | Hispanic and Latino Population Concentration |
tier | 2 |