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.

Files and code for analyzing San Diego downtown homelessness data with computer vision

sandiegodata.org-downtown_cv-5

Resources

• gcp. Ground control points
• intersection_regions. Polygon transformations for each the intersections of each map
• intersections. List of intersections.
• file_annotations. File annotations on count files
• counts. Annotation position, types and counts of handwritten marks

Documentation

This dataset collects records related to a conversion of 5 years of paper maps that record positions of homeless sleepers in downtown San Diego. The San Diego Regional Data Library is converting these paper maps to a digital form with a manual process that uses an image annotation tool, and theses annotations can be used to train computer vision algorithms to georeference maps and recognize handwritten marks.

Geographic boundaries for schools in the San Diego Unified school district

sandiegounified.org-enrollment_zones-2014-1

Resources

• sdusd_boundaries. Select boundaries of school enrollments areas in San Diego Unified school district.
• school_tract_xwalk. Porportions of overlap between tracts and school enrollment areas.

Documentation

Building

The data/sdusd.zip file is built manually from the three data/*zip files, using the notebooks/CombineFiles.ipynb notebook

Contacts

• Wrangler

Eric Busboom, Civic Knowledge

Packages

• zip https://library-metatab-org.s3.amazonaws.com/sandiegounified.org-enrollment_zones-2014-1.zip
• s3 s3://library.metatab.org/sandiegounified.org-enrollment_zones-2014-1.csv
• csv https://library-metatab-org.s3.amazonaws.com/sandiegounified.org-enrollment_zones-2014-1.csv
• source https://github.com/metatab-packages/metatab-packages.git

Accessing Packages in Metapack

import metapack as mp
pkg = mp.open_package('https://library-metatab-org.s3.amazonaws.com/sandiegounified.org-enrollment_zones-2014-1.zip')

# Create Dataframes
sdusd_boundaries_gdf = pkg.resource('sdusd_boundaries').geoframe()

school_tract_xwalk_df = pkg.resource('school_tract_xwalk').dataframe()

Data Dictionary

sdusd_boundaries | school_tract_xwalk

School-level enrollment by racial/ethnic designation, gender, and grade.

cde.ca.gov-enrollment-1.2.2. Modified 2022-06-17T17:38:10

Resources

• enrollment. School enrollment, 2007 to 2021
• race_eth. Simplified structure for race/ethnicity

Documentation

Enrollment by school and demographic group for the years 2007 to 2018. The upstream dataset has enrollment data files for yearlier years, as early as 1981, but these files have a different structure.

Caveats

The download page includes this note:

Note these data files contain enrollment data for primary enrollments only. 
It does not include short-term enrollments. For data on short-term enrollments, 
please refer to the Primary and Short-term Enrollment by School data files.

Some of the annual files have a Race/Ethincity code of ‘8’, which corresponds to “Multiple or No Response” in he 1998 to 2006 file structure, but is not defined for this set of files.

Select tables of census data for California school districts, 2020

census.gov-district_demo-ca-1.2.2. Modified 2022-06-17T19:07:41

Resources

• ca_sd_demo. California school district demographics

Documentation

This dataset collects the following Census tables for the sdelm ( Elementary district), sdsec ( Secondary district ) and sduni ( Unified ) school districts in California.

• B01003: Total Population
• B01001: Sex by Age
• B09001: Population Under 18 Years by Age
• C17001: Poverty Status by Sex by Age
• C17002: Ratio of Income to Poverty Level
• C15003: Educational Attainment
• B19081: Mean Household Income of Quintiles
• B25077: Median Value (Dollars)
• B02001: Race
• C03001: Hispanic or Latino Origin by Specific Origin

Documentation Links

• Documentation Page

Contacts

• Wrangler

Eric Busboom, Civic Knowledge

Links between CDS codes, NCES codes and school district geoids in the US census

sandiegodata.org-sd_demo_links-ca-4

Resources

• ca_sd_links. Links between NCES, CDS and Geoids for California school districts

Documentation

Links between three identification codes for California districts:

• CD Codes, the County/District codes used in most CDE data files.
• NCES, codes used by the National Center for Educational Statistics
• Census geoids, codes used in the US Census and American Community Survey.

This linkage file can be used to connect data fiels from the California Department of education to US Census demographics.

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.