sandiegodata.org-downtown_homeless-source-7.2.3
Last Update: 2024-11-26T06:14:50
Source files for San Diego Downtown homeless sleeper counts
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.
This is the source package, use to generate analysis packages. Analysts should probably use one of the analysis packages. See the Data Library's Homelessness Collection for all of the available datasets.
The count is done on paper maps with handwritten count marks. The San Diego Regional Data Library's Downton Homelessness project converted these scanned count maps using a web based image annotation tool, VIA. These data are extracted from the JSON output from VIA.
This package has two top level files, and four predecessor files. The top level files are:
counts
. One record for each handwritten count marking on a map. files
. One record for each of the scanned, handmarked maps. The predecessor files are:
raw_file_annotations
. File annotations extracted from the VIA output.raw_count_annotations
. Count annotations extracted from the VIA output.raw_gcp
. Ground control point annotations ( street intersections ) extracted from VIA.gcp_transforms
. Ground control points, in both image and geographic coordinates, with an affine transformation matrix to convert between them. intersections
. Geographic positions and names of the street intersections used as ground control points. Because this data is extracted, manually, from manually recorded maps, there are a lot of quality issues.
Because of conversion errors and some complications with the source maps, there are several months of data that are excluded from this dataset
Since about 2017, HUD has instructed point-in-time homeless counts to multiply the counts of sleepers in structures and vehicles by factors to account for people who may be obsured and not directly countable. From April 2017 on, Downtown San Diego Partnership has been using these factors.
However, this dataset does not use the occupancy factors, to allow analysts to apply these factors consistently across all months of data. As a result, the counts from this dataset diverge from the official counts after March 2017.
total_count
often does not match the sum of counts on the map. These sums were made by hand, by the enumerator who made the counts, so there are occasional arithmetic errors. rain
or temp
neighborhood
value is based on the map names, so in some months
the East Village neighborhood is separated into east_village
and east_village_south
This plot shows, per month, the offical published counts from San Diego Downtown Partnership versus the total from this dataset. Note the descrepancies dues to issues noted above, including missing months, minor differences in some months, and the divergence after March 2017 due to occupancy multiplers.
The May 2023 update was done by researchers at the Homelessness Hub at UC San Diego:
The 2024 update was performed by: