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
- 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.
However, the HUD HIC
file
has many columns that the sheltered_2018
file does not, including street
addresses for the facilities
Versions
- Initial Version
- Added descriptions to data dictionary
Documentation Links
Contacts
- Wrangler
Packages
- zip http://library.metatab.org/rtfhsd.org-pitc-2018-4.zip
- csv http://library.metatab.org/rtfhsd.org-pitc-2018-4.csv
- source https://github.com/sandiegodata-projects/homelessness.git
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_2018unsheltered_2018
Column Name | Data Type | Description |
---|---|---|
geoid | string | Tract Geoid |
tract | string | Tract number |
community | string | Community Name where tract is located |
count | number | Count of unsheltered homless |
sheltered_2018
Column Name | Data Type | Description |
---|---|---|
row | integer | Row # |
year | integer | Year |
proj_type | string | Proj. Type |
organization_name | string | Organization Name |
project_name | string | Project Name |
geo_code | integer | Geo Code |
inventory_type | string | Inventory Type |
bed_type | string | Bed Type |
target_pop_a | string | Target Pop. A |
target_pop_b | string | Target Pop. B |
beds_hh_w_children | integer | Beds HH w/ Children |
units_hh_w_children | integer | Units HH w/ Children |
beds_hh_w_o_children | integer | Beds HH w/o Children |
beds_hh_w_only_children | integer | Beds HH w/ only Children |
veteran_beds_hh_w_children | integer | Veteran Beds HH w/ Children |
youth_beds_hh_w_children | integer | Youth Beds HH w/ Children |
ch_beds_hh_w_children | integer | CH Beds HH w/ Children |
veteran_beds_hh_w_o_children | integer | Veteran Beds HH w/o Children |
youth_beds_hh_w_o_children | integer | Youth Beds HH w/o Children |
ch_beds_hh_w_o_children | integer | CH Beds HH w/o Children |
ch_beds_hh_w_only_children | integer | CH Beds HH w/ only Children |
additional_federal_funding_hud_vash | string | Additional Federal Funding: HUD-VASH |
additional_federal_funding_ssvf | string | Additional Federal Funding: SSVF |
additional_federal_funding_gpd | string | Additional Federal Funding: GPD |
additional_federal_funding_gpd_bh | string | Additional Federal Funding: GPD-BH |
additional_federal_funding_gpd_ld | string | Additional Federal Funding: GPD-LD |
additional_federal_funding_gpd_hh | string | Additional Federal Funding: GPD-HH |
additional_federal_funding_gpd_ct | string | Additional Federal Funding: GPD-CT |
additional_federal_funding_gpd_sith | string | Additional Federal Funding: GPD-SITH |
additional_federal_funding_gpd_tp | unknown | Additional Federal Funding: GPD-TP |
additional_federal_funding_hchv | string | Additional Federal Funding: HCHV |
additional_federal_funding_hchv_crs | unknown | Additional Federal Funding: HCHV-CRS |
additional_federal_funding_hchv_sh | unknown | Additional Federal Funding: HCHV-SH |
additional_federal_funding_cwt_tr | string | Additional Federal Funding: CWT/TR |
additional_federal_funding_bcp | string | Additional Federal Funding: BCP |
additional_federal_funding_tlp | string | Additional Federal Funding: TLP |
additional_federal_funding_mgh | string | Additional Federal Funding: MGH |
additional_federal_funding_hopwa | string | Additional Federal Funding: HOPWA |
additional_federal_funding_hopwa_hmv | unknown | Additional Federal Funding: HOPWA-HMV |
additional_federal_funding_hopwa_ph | string | Additional Federal Funding: HOPWA-PH |
additional_federal_funding_hopwa_stsf | unknown | Additional Federal Funding: HOPWA-STSF |
additional_federal_funding_hopwa_th | string | Additional Federal Funding: HOPWA-TH |
additional_federal_funding_pih | string | Additional Federal Funding: PIH |
additional_federal_funding_other | string | Additional Federal Funding: Other |
housing_type | text | Housing Type |
mckinney_vento_esg | string | McKinney- Vento: Esg |
mckinney_vento_esges | string | McKinney- Vento: EsgEs |
mckinney_vento_esgrrh | string | McKinney- Vento: EsgRrh |
mckinney_vento_coc | string | McKinney- Vento: Coc |
mckinney_vento_cocsh | string | McKinney- Vento: CocSh |
mckinney_vento_cocth | string | McKinney- Vento: CocTh |
mckinney_vento_cocpsh | string | McKinney- Vento: CocPsh |
mckinney_vento_cocrrh | string | McKinney- Vento: CocRrh |
mckinney_vento_cocsro | string | McKinney- Vento: CocSro |
mckinney_vento_spc | string | McKinney- Vento: SpC |
mckinney_vento_s8 | string | McKinney- Vento: S8 |
mckinney_vento_shp | string | McKinney- Vento: Shp |
year_round_beds | integer | Year-Round Beds |
hmis_beds_hh_w_children | integer | HMIS Beds HH w/ Children |
hmis_beds_hh_w_o_children | integer | HMIS Beds HH w/o Children |
hmis_beds_hh_w_only_children | integer | HMIS Beds HH w/ only Children |
pct_of_hmis_beds_hh_with_children | integer | % of HMIS Beds HH with Children |
pct_of_hmis_beds_hh_without_children | integer | % of HMIS Beds HH without Children |
pct_of_hmis_beds_hh_w_only_children | integer | % of HMIS Beds HH w/ only Children |
total_seasonal_beds | integer | Total Seasonal Beds |
seasonal_beds_available_in_hmis | integer | Seasonal Beds Available in HMIS |
availability_start_date | integer | Availability Start Date |
availability_end_date | integer | Availability End Date |
overflow_beds | integer | Overflow Beds |
hmis_overflow_beds | integer | HMIS Overflow Beds |
pit_count | integer | PIT Count |
total_beds | integer | Total Beds |
utilization_rate | number | Utilization Rate |
last_update_on | number | Last 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
- zip http://library.metatab.org/rtfhsd.org-pitc-2018-4.zip
- csv http://library.metatab.org/rtfhsd.org-pitc-2018-4.csv
- source https://github.com/sandiegodata-projects/homelessness.git
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()