San Diego Point In Time Count 2018, Tracts

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 | Packages | Documentation| Contacts| References| Data Dictionary

Resources

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.

However, the HUD HIC file has many columns that the sheltered_2018 file does not, including street addresses for the facilities

Versions

  1. Initial Version
  2. Added descriptions to data dictionary

Contacts

Packages

Accessing Packages in Metapack

import metapack as mp
pkg = mp.open_package('http://library.metatab.org/rtfhsd.org-pitc-2018-4.zip')

# Create Dataframes

unsheltered_2018_df = pkg.resource('unsheltered_2018').dataframe()
sheltered_2018_df = pkg.resource('sheltered_2018').dataframe()

Data Dictionary

unsheltered_2018 | sheltered_2018

unsheltered_2018

Column NameData TypeDescription
geoidstringTract Geoid
tractstringTract number
communitystringCommunity Name where tract is located
countnumberCount of unsheltered homless

sheltered_2018

Column NameData TypeDescription
rowintegerRow #
yearintegerYear
proj_typestringProj. Type
organization_namestringOrganization Name
project_namestringProject Name
geo_codeintegerGeo Code
inventory_typestringInventory Type
bed_typestringBed Type
target_pop_astringTarget Pop. A
target_pop_bstringTarget Pop. B
beds_hh_w_childrenintegerBeds HH w/ Children
units_hh_w_childrenintegerUnits HH w/ Children
beds_hh_w_o_childrenintegerBeds HH w/o Children
beds_hh_w_only_childrenintegerBeds HH w/ only Children
veteran_beds_hh_w_childrenintegerVeteran Beds HH w/ Children
youth_beds_hh_w_childrenintegerYouth Beds HH w/ Children
ch_beds_hh_w_childrenintegerCH Beds HH w/ Children
veteran_beds_hh_w_o_childrenintegerVeteran Beds HH w/o Children
youth_beds_hh_w_o_childrenintegerYouth Beds HH w/o Children
ch_beds_hh_w_o_childrenintegerCH Beds HH w/o Children
ch_beds_hh_w_only_childrenintegerCH Beds HH w/ only Children
additional_federal_funding_hud_vashstringAdditional Federal Funding: HUD-VASH
additional_federal_funding_ssvfstringAdditional Federal Funding: SSVF
additional_federal_funding_gpdstringAdditional Federal Funding: GPD
additional_federal_funding_gpd_bhstringAdditional Federal Funding: GPD-BH
additional_federal_funding_gpd_ldstringAdditional Federal Funding: GPD-LD
additional_federal_funding_gpd_hhstringAdditional Federal Funding: GPD-HH
additional_federal_funding_gpd_ctstringAdditional Federal Funding: GPD-CT
additional_federal_funding_gpd_sithstringAdditional Federal Funding: GPD-SITH
additional_federal_funding_gpd_tpunknownAdditional Federal Funding: GPD-TP
additional_federal_funding_hchvstringAdditional Federal Funding: HCHV
additional_federal_funding_hchv_crsunknownAdditional Federal Funding: HCHV-CRS
additional_federal_funding_hchv_shunknownAdditional Federal Funding: HCHV-SH
additional_federal_funding_cwt_trstringAdditional Federal Funding: CWT/TR
additional_federal_funding_bcpstringAdditional Federal Funding: BCP
additional_federal_funding_tlpstringAdditional Federal Funding: TLP
additional_federal_funding_mghstringAdditional Federal Funding: MGH
additional_federal_funding_hopwastringAdditional Federal Funding: HOPWA
additional_federal_funding_hopwa_hmvunknownAdditional Federal Funding: HOPWA-HMV
additional_federal_funding_hopwa_phstringAdditional Federal Funding: HOPWA-PH
additional_federal_funding_hopwa_stsfunknownAdditional Federal Funding: HOPWA-STSF
additional_federal_funding_hopwa_thstringAdditional Federal Funding: HOPWA-TH
additional_federal_funding_pihstringAdditional Federal Funding: PIH
additional_federal_funding_otherstringAdditional Federal Funding: Other
housing_typetextHousing Type
mckinney_vento_esgstringMcKinney- Vento: Esg
mckinney_vento_esgesstringMcKinney- Vento: EsgEs
mckinney_vento_esgrrhstringMcKinney- Vento: EsgRrh
mckinney_vento_cocstringMcKinney- Vento: Coc
mckinney_vento_cocshstringMcKinney- Vento: CocSh
mckinney_vento_cocthstringMcKinney- Vento: CocTh
mckinney_vento_cocpshstringMcKinney- Vento: CocPsh
mckinney_vento_cocrrhstringMcKinney- Vento: CocRrh
mckinney_vento_cocsrostringMcKinney- Vento: CocSro
mckinney_vento_spcstringMcKinney- Vento: SpC
mckinney_vento_s8stringMcKinney- Vento: S8
mckinney_vento_shpstringMcKinney- Vento: Shp
year_round_bedsintegerYear-Round Beds
hmis_beds_hh_w_childrenintegerHMIS Beds HH w/ Children
hmis_beds_hh_w_o_childrenintegerHMIS Beds HH w/o Children
hmis_beds_hh_w_only_childrenintegerHMIS Beds HH w/ only Children
pct_of_hmis_beds_hh_with_childreninteger% of HMIS Beds HH with Children
pct_of_hmis_beds_hh_without_childreninteger% of HMIS Beds HH without Children
pct_of_hmis_beds_hh_w_only_childreninteger% of HMIS Beds HH w/ only Children
total_seasonal_bedsintegerTotal Seasonal Beds
seasonal_beds_available_in_hmisintegerSeasonal Beds Available in HMIS
availability_start_dateintegerAvailability Start Date
availability_end_dateintegerAvailability End Date
overflow_bedsintegerOverflow Beds
hmis_overflow_bedsintegerHMIS Overflow Beds
pit_countintegerPIT Count
total_bedsintegerTotal Beds
utilization_ratenumberUtilization Rate
last_update_onnumberLast Update On

References

Urls used in the creation of this data package.

  • file:data/pitc-2018.csv#&encoding=ascii.
  • pitc_2018_pdf. PDF document from which pitc_2018_source data were scraped

Last Modified 2019-07-17T16:32:44

Packages

Accessing Packages in Metapack

import metapack as mp
pkg = mp.open_package('http://library.metatab.org/rtfhsd.org-pitc-2018-4.zip')

# Create Dataframes

unsheltered_2018_df = pkg.resource('unsheltered_2018').dataframe()
sheltered_2018_df = pkg.resource('sheltered_2018').dataframe()