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This dataset contains point-in-time homeless population counts from 2019, focusing on the rural Northern California counties of Humboldt, Mendocino, Redding/Shasta, Siskiyou, Lassen, Plumas, Del Norte, Modoc, and Sierra. It was created for a class at the University of Washington iSchool in March 2021.

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madelinecarru/norcal_homeless_populations

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This .csv format dataset contains point-in-time homeless population counts from January 22, 2019 to January 24, 2019, focusing on the rural Northern California counties including Humboldt, Mendocino, Redding/Shasta, Siskiyou, Lassen, Plumas, Del Norte, Modoc, Sierra counties.

It was created for a class at the University of Washington iSchool in March 2021. The intended audience is policymakers and social service workers, with the intended purpose to create legislation and services serving rural homeless communities as well as tracking the rates of homelessness in remote areas of Northern California. The dataset was created from open access government reports from the Department of Housing and Urban Development (HUD), as provided by Continuums of Care (CoC), and it is freely available to the public.

The naming convention for files should be: year_datasettype. The year indicates the year in which the point-in-time count occurred, and the data set type indicates whether the data is raw or normalized.

Data Dictionary

Variable Variable Name Measurement Unit Allowed Values Definition
hudCoc HUD CoC String HUD CoC codes County codes assigned by HUD and CoC
countyName County Name String Names of California counties Names of counties within California
date Date Date MM-DD-YYYY Date of point-in-time count of homeless population
genderFemale Female Numerical Numbers greater or equal to 0 Count of female-identifying homeless persons
genderMale Male Numerical Numbers greater or equal to 0 Count of male-identifying homeless persons
genderTrans Transgender Numerical Numbers greater or equal to 0 Count of transgender-identifying homeless persons
genderNone Gender Noncomforming Numerical Numbers greater or equal to 0 Count of gender non-conforming homeless persons
totalCount Total Count Numerical Numbers greater or equal to 0 Total count of homeless persons

Metadata

Schema used: Project Open Data

Attribute Value
conformsTo https://project-open-data.cio.gov/v1.1/schema
accessLevel public
accuralPeriodicity R/P1Y
fn Madeline Carruthers
hasEmail mailto: madelinecarruthers@gmail.com
description This dataset is a combination of point-in-time homeless counts conducted in January 2019 for a set of rural Northern California communities, including Humboldt, Mendocino, Redding/Shasta, Siskiyou, Lassen, Plumas, Del Norte, Modoc, Sierra counties. The intended audience is policymakers and social services. This dataset was curated for a class project within the University of Washington iSchool in Winter 2021.
format CSV
mediaType CSV
issued 2021-03-07
keyword "homeless population", "point-in-time count", "northern california", "rural communities", "mendocino", "humboldt", "redding/shasta", "siskiyou", "lassen", "plumas", "del norte", "modoc", "sierra"
language en-us
modified 2021-03-08
publisher Madeline Carruthers
references https://files.hudexchange.info/reports/published/CoC_PopSub_CoC_CA-516-2019_CA_2019.pdf, https://files.hudexchange.info/reports/published/CoC_PopSub_CoC_CA-522-2019_CA_2019.pdf, https://files.hudexchange.info/reports/published/CoC_PopSub_CoC_CA-509-2019_CA_2019.pdf
rights These data are publicly available to all within their respective government repositories and within this repository.
temporal 2020/P1Y
theme "homeless population", "northern california", "rural communities"
title Rural Northern California Homeless Population

Security

The data is freely available to the public.

Contact

Madeline Carruthers, madelinecarruthers@gmail.com

About

This dataset contains point-in-time homeless population counts from 2019, focusing on the rural Northern California counties of Humboldt, Mendocino, Redding/Shasta, Siskiyou, Lassen, Plumas, Del Norte, Modoc, and Sierra. It was created for a class at the University of Washington iSchool in March 2021.

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