Monthly homeless counts for the Gaslamp district in Downtown San Diego

downtownsandiego.org-homeless_count-gaslamp-2

Resources

• gaslamp.

Documentation

Since 2014, the Downtown San Diego Partnership has been conducting monthly counts of the homeless in the Downtown neighborhood. The positions of homeless sleepers are recorded on paper maps, which are compiled into a spreadsheet. The San Diego Regional Data Library is running a project to digitize these paper maps](https://downtown-homelesness.sandiegodata.org/) into geographic datasets.

This dataset covers only the Gaslamp district, from 2014-01-01 to 2018-06-28.

Five years of monthly geographic positions for homeless sleepers in Downtown San Diego

sandiegodata.org-dowtown_homeless-2.1.1. Modified 2022-04-20T20:32:39

Resources

• neighborhood_totals. Totals for each of the neighborhoods for 2018 and 2019, from the published Downtown San Diego Partnership statistics
• monthly_totals. Monthly totals since 2012, from the published Downtown San Diego Partnership statistics
• homeless_counts. Counts of homeless sleepers in Downtown San Diego, 2014 to mid 2018.
• imputed_counts. The homeless_counts file with missing months probablistically imputed
• downtown_blocks. Census TIGER geographic regions for the blocks that have one or more homeless sleepers in this dataset.

Documentation

This dataset provides geographic locations for homeless sleepers in Downtown San Diego, as counted by enumerators from the Downtown San Diego Partnership. These counts have been done monthly since 2012, and this dataset provides counts since 2014.

Source files for San Diego Downtown homeless sleeper counts

sandiegodata.org-downtown_homeless-source-7.2.3. Modified 2024-11-26T06:18:18

Resources

• intersections_2019. Street intersections used for Ground Control Points, 2019
• intersections_2023. Street intersections used for Ground Control Points, 2023 update
• counts. Final homeless sleeper counts
• files. Final file annotations, including total counts, temperature and weather.
• gcp_transforms. Final ground control points and affine transformation matrices
• raw_count_annotations. Lightly processed count annotations
• raw_file_annotations. Lightly processed file annotations
• raw_gcp. Lightly processed Ground Control Points

Documentation

This dataset provides geographic locations for homeless sleepers in Downtown San Diego, as counted by enumerators from the Downtown San Diego Partnership. These counts have been done monthly since 2012, and this dataset provides counts since 2014.

Point data for locations of homeless for the 2010 PiTC count in San Diego county.

rtfhsd.org-pitc-2010-geo-3

Resources

• pitc. Point in time count geo data for 2010
• tracts. Counts per shelter type per tract

Documentation

This dataset is a digitized version of the points recorded on paper maps for the 2010 Point in Time Count of the unsheltered homeless. The dataset was not provided with any documentation, and the organization that digitized the data is not known.

Geocoded addresses for housing facilities in the San Diego CoC.

sandiegodata.org-hic_geocode-1

Resources

• hic_geocode. Geocoded addresses from the HIC facility inventory

Documentation

This dataset has geocoded addresses from the HUD Housing Inventory Count. The addressess are geocoded with the [US Census geocoder.](<https://geocoding.geo.census.gov/geocoder/geographies/addressbatch?fo rm>)

Caveats

Fairly few of the facilities in the inventory dataset have addresses, about 14K of 170K records.

Contacts

• Wrangler

Eric Busboom, Civic Knowledge

Packages

• zip https://library-metatab-org.s3.amazonaws.com/sandiegodata.org-hic_geocode-1.zip
• csv https://library-metatab-org.s3.amazonaws.com/sandiegodata.org-hic_geocode-1.csv
• source https://github.com/sandiegodata-projects/homelessness.git

Accessing Packages in Metapack

import metapack as mp
pkg = mp.open_package('https://library-metatab-org.s3.amazonaws.com/sandiegodata.org-hic_geocode-1.zip')

# Create Dataframes
hic_geocode_gdf = pkg.resource('hic_geocode').geoframe()

Data Dictionary

hic_geocode

Unsheltered counts per tract and sheltered counts per facility, for 2018 San Diego Point in Time Count of homeless.

rtfhsd.org-pitc-2018-4

Resources

• unsheltered_2018. Unsheltered count, by tract
• sheltered_2018. Housing inventory and sheltered count

Documentation

This dataset includes the sheltered and unsheltered homeless counts from the San Diego Continuum of Care, CA-601.

Caveats

The sheltered count, sheltered_2018, is based on a data extract from HUD, and is similar, although not exactly, the same as the 2018 records for CA-601 from the official HUD HIC dataset, which has been packaged to combine multiple years. . The sheltered_2018 resource in this dataset differs from the HUD dataset in two rows ( 336790, 347741 ) which appear to have been removed in an update made after source file for sheltered_2018 was extracted. However, the PITC beds for the removed rows appear to have been re-allocated, because both datasets have the same value for the sum of the pit_count variable. For many analytical uses, these datasets will be identical.

Project-level housing inventory for 2012 to 2018.

hudexchange.info-hic-project-1

Resources

• hic. Combined HIC, 2012 to 2018

Documentation

DUring the annual Point in Time Count, HUD also collects information about sheltered homeless, with detailed information about housing projects, including number of beds, occupancy, funding, and many other variables.

There is no formal data dictionary, so the dataset is lighly documented; the meaning of the fields is probably part of the HDX web application.

Combined years of sheltered and unsheltered homeless counts, by CoC.

hudexchange.info-pit-coc-1

Resources

• pitc_coc. Combined pitc, 2007 to 2018

Documentation

HUD publishes an Excel workbook with sheltered and unsheltered counts, aggregated to CoC, for the whole country, for 2007 on. In this dataset, each year is in a seperate worksheet, and later years have more columns than earlier years, and most column names include the year as a suffix.

This data package combines al of these years into a single file, with normalized column names. Cells in years that don’t have a column that are in later years are filled with nulls, and each row is prefixed with the year of the file that the original row was sourced from.

Data related to homelessness from an ArcGIS tutorial

arcgis.com-risk-3

Resources

• resources. Homeless population, crime, and 311 calls by tract and community.
• county_outline. County bountry outline
• shelters_services. Locations and basic information for shelters and other services
• homeless_population. Detailed homeless population data per tract.
• risk_factors. Tract level neighborhood risk factors, probably from teh American Community Survey

Documentation

ESRI [publishes a tutorial for creating maps for analyzing homelesness](<http://desktop.arcgis.com/en/analytics/case-studies/la-county-homel essness-2-pro-workflow.htm>), with a link to the data used. Many of the data are from lahsa.org and economicrt.org, but the package also includes many other columns. The data download includes a .gdb file, which includes no documentation, although there may be documentation in the HomelessnessPkg.ppkx file.

Standardized Records from the Demographic Survey of Unsheltered Individuals

economicrt.org-demographic_survey-1

Resources

• combined_survey. Combined survey data from 2011 to 2017, with all columns, naievely combined
• multiyear_survey. Data from Demographic Surveys and HMIS Records 2011 to 2017, with a normalized subset of common columns

Documentation

The Los Angeles Homeless Services Authority (LAHSA) conducts annual in-person surveys of the unsheltered homeless population in Los Angeles. This data package includes the standardized versions of the annual survey data for 2011 through 2017, combined into a single file (combined_survey) and another multi year file that was produced by UCLA, which includes only the common columns from the multi-year files. (multiyear_survey)