Downtown San Diego Homeless Sleepers

sandiegodata.org-dowtown_homeless-2.1.1 Last Update: 2022-04-20T20:30:21

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

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.

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.

Base and Imputed Datasets

This distribution has two version of the homeless counts, the base set, homeless_counts, which has three months of missing data, and the imputed dataset, imputed_counts in which these three missing months, 2014-08, 2014-09, and 2015-06 are probabilistically re-created.

The Imputation process uses the total count for the month, from the monthly_totals dataset, as the number of sleepers that the imputed month will have. Then, the imputation process collects at least 1,000 records with dates near the missing month into a sample set, calculating the portion of records that are in each census block. Then the algorithm randomly selects that number of records for each census block, and adjusts random blocks so the total of the whole set of selected records is equal to the official count for the month.

The result is an imputed month that has the same number of records as the official count for the month and as the same portion of sleepers in each census block as in adjacent months.

Notes

Notes for the source dataset, as of April 2019:

The preliminary methodology (shown in yellow) [ March 2017 and earlier] counted two individuals per tent and two individuals per vehicle.

On April 27, 2017, the Clean & Safe program adopted the counting methodology used by the Regional Task Force on the Homeless. Per the methodology (represented above by the dark green cells), [April 2017 to April 2018, inclusive ] Clean & Safe staff counted 1.75 individuals per visible tent/structure and 1.66 individuals per vehicle that showed clear signs of habitation.

In May 2018, the Regional Task Force on the Homeless updated the methodology for vehicles to 2.03 that shows clear signs of habitation (the methodology of 1.75 individuals per tent/structure remained the same). The Clean & Safe program implemented this methodology on May 31, 2018 (represented in orange).

* Denotes the months that The Downtown Fellowship of Ministries and Churches collaborated with us on the monthly homeless sleep count.

**East Village breakout areas include the following: * North East East Village is the area north of Market Street & east of Park Ave. * North West is the area north of Market Street & west of Park Ave. * South East is the area east of Park Ave. south of Market Street * South West is the area west of Park Ave. south of Market Street

Caveats

Because this data is extracted, manually, from manually recorded maps, there are a lot of quality issues.

Missing Months

Because of conversion errors and some complications with the source maps, there are several months of data that are excluded from this dataset

Not Using Ocupancy Multipliers

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.

Other Issues

Comparison to Official Published Counts

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.

Versions

  1. Initial Version
  2. Reload upstream source, with better datatypes
  3. Add monthly and neighborhood totals
  4. Updated to version 4 source package
  5. Updates to version 5 of source package, which excluded several months with quality problems, improved documentation
  6. Added column for source file, removed duplicated data form marina, 2016
  7. Added imputed counts dataset.
  8. Updated the monthly_totals dataset
  9. Added downtown_blocks geography and removed April 2018 on.
  10. Corrected geometry from POLYGON ( of the city block ) to the POINT of the observation

Contacts

Resources

References