This database contains the data reported in the Annual Homeless Assessment Report to Congress (AHAR). It represents a point-In-time count (PIT) of homeless individuals, as well as a housing inventory count (HIC) conducted annually.
The data represent the most comprehensive national-level assessment of homelessness in America, including PIT and HIC estimates of homelessness, as well as estimates of chronically homeless persons, homeless veterans, and homeless children and youth.
These data can be trended over time and correlated with other metrics of housing availability and affordability, in order to better understand the particular type of housing resources that may be needed from a social determinants of health perspective.
HUD captures these data annually through the Continuum of Care (CoC) program. CoC-level reporting data have been crosswalked to county levels for purposes of analysis of this dataset.
You can use the BigQuery Python client library to query tables in this dataset in Kernels. Note that methods available in Kernels are limited to querying data. Tables are at bigquery-public-data.sdoh_hud_pit_homelessness
What has been the change in the number of homeless veterans in the state of New York’s CoC Regions since 2012? Determine how the patterns of homeless veterans have changes across the state of New York
homeless_2018 AS (
SELECT Homeless_Veterans AS Vet18, CoC_Name
FROM bigquery-public-data.sdoh_hud_pit_homelessness.hud_pit_by_coc
WHERE SUBSTR(CoC_Number,0,2) = "NY" AND Count_Year = 2018
),
veterans_change AS ( SELECT homeless_2012.COC_Name, Vet12, Vet18, Vet18 - Vet12 AS VetChange FROM homeless_2018 JOIN homeless_2012 ON homeless_2018.CoC_Name = homeless_2012.CoC_Name )
SELECT * FROM veterans_change
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Yearly statewide and by-Continuum of Care total counts of individuals receiving homeless response services by age group, race, gender, veteran status, and disability status.
This data comes from the Homelessness Data Integration System (HDIS), a statewide data warehouse which compiles and processes data from all 44 California Continuums of Care (CoC)—regional homelessness service coordination and planning bodies. Each CoC collects data about the people it serves through its programs, such as homelessness prevention services, street outreach services, permanent housing interventions and a range of other strategies aligned with California’s Housing First objectives.
The dataset uploaded reflects the 2024 HUD Data Standard Changes. Previously, Race and Ethnicity are separate files but are now combined.
Information updated as of 2/06/2025.
This dataset comes from Pierce County's Homeless Management Information System (HMIS). HMIS is a local information technology system used to collect client-level data and data on the provision of housing and services to homeless individuals and families and persons at risk of homelessness.
Federal and State funders require any Continuum of Care receiving federal and state homeless funds use a locally-administered data system to record and analyze homeless information. To comply with this requirement Pierce County has contracted with Bowman Systems L.L.C. for the use of the ServicePoint HMIS database.
This database contains the data reported in the Annual Homeless Assessment Report to Congress (AHAR). It represents a point-In-time count (PIT) of homeless individuals, as well as a housing inventory count (HIC) conducted annually. The data represent the most comprehensive national-level assessment of homelessness in America, including PIT and HIC estimates of homelessness, as well as estimates of chronically homeless persons, homeless veterans, and homeless children and youth. These data can be trended over time and correlated with other metrics of housing availability and affordability, in order to better understand the particular type of housing resources that may be needed from a social determinants of health perspective. HUD captures these data annually through the Continuum of Care (CoC) program. CoC-level reporting data have been crosswalked to county levels for purposes of analysis of this dataset. For more information about these data, please see here .
The Veterans' Employment and Training Service (VETS) tracks HVRP participant outcomes using data collected from grant recipients. VETS shares HVRP outcomes with the public. These data show the national level targets and outcomes for eleven (11) measures by Program Year (PY), including breakouts by sex, ethnicity, race, age, and grant population. The 11 measures are: Number of Participants Served Percentage of Total Participants Served Number of Exiters Percentage of Total Number of Exiters Number of Participants Co-Enrolled at American Job Centers (AJCs) Average Hourly Wage at Placement Placement Rate (exit-based) Placement Rate – Episodically Homeless (exit-based) Employment Rate 2nd Quarter After Exit Employment Rate 4th Quarter After Exit Median Earnings 2nd Quarter After Exit"
description: This data represents all emergency medical services calls related to possible opioid abuse. Opioid Abuse Probable A call may be coded as opioid abuse probable for many reasons, such as * Are there are any medical symptoms indicative of opioid abuse? * Are there physical indicators on scene (i.e. drug paraphernalia, pill bottles, etc.)? * Are there witnesses or patient statements made that point to opioid abuse? * Is there any other evidence that opioid abuse is probable with the patient? Opioid abuse probable is determined by Tempe Fire Medical Rescue Departments Emergency medical technicians and paramedics on scene at the time of the incident. Narcan/Naloxone Given Narcan/Naloxone Given refers to whether the medication Narcan/Naloxone was given to patients who exhibited signs or symptoms of a potential opioid overdose or to patients who fall within treatment protocols that require Narcan/Naloxone to be given. Narcan/Naloxone are the same medication with Narcan being the trade name and Naloxone being the generic name for the medication. Narcan is the reversal medication used by medical providers for opioid overdoses. Groups Groups are used to determine if there are specific populations that have an increase in opioid abuse. * The student population at ASU was being examined for other purposes to determine ASU's overall call volume impact in Tempe. Data collection with the university is consistent with Fire Departments who provide service to the other PAC 12 universities. Since this data set was already being evaluated, it was included in the opioid data collection as well. * The Veteran and Homeless Groups were established as demographic tabs to identify trends and determine needs in conjunction with the City of Tempes Veterans and Homeless programs. Since these data sets were being evaluated already, they were included in the opioid data collection as well. * The unknown group includes incidents where a patient is unable to answer or refuses to answer the demographic questions. Gender Patient gender is documented as male or female when crews are able to obtain this information from the patient. There are some circumstances where this information is not readily determined and the patient is unable to communicate with our crews. In these circumstances, crews may document unknown/unable to determine. Data Set History Data sets were evolving in 2017 due to software upgrades and identifying new parameters to focus data collection on. The 2018 data will be a more comprehensive set of data that includes all the fields identified throughout 2017. Data sets may continue to evolve based on the needs of the community and healthcare trends. Information about the data can be found at Data Documentation; abstract: This data represents all emergency medical services calls related to possible opioid abuse. Opioid Abuse Probable A call may be coded as opioid abuse probable for many reasons, such as * Are there are any medical symptoms indicative of opioid abuse? * Are there physical indicators on scene (i.e. drug paraphernalia, pill bottles, etc.)? * Are there witnesses or patient statements made that point to opioid abuse? * Is there any other evidence that opioid abuse is probable with the patient? Opioid abuse probable is determined by Tempe Fire Medical Rescue Departments Emergency medical technicians and paramedics on scene at the time of the incident. Narcan/Naloxone Given Narcan/Naloxone Given refers to whether the medication Narcan/Naloxone was given to patients who exhibited signs or symptoms of a potential opioid overdose or to patients who fall within treatment protocols that require Narcan/Naloxone to be given. Narcan/Naloxone are the same medication with Narcan being the trade name and Naloxone being the generic name for the medication. Narcan is the reversal medication used by medical providers for opioid overdoses. Groups Groups are used to determine if there are specific populations that have an increase in opioid abuse. * The student population at ASU was being examined for other purposes to determine ASU's overall call volume impact in Tempe. Data collection with the university is consistent with Fire Departments who provide service to the other PAC 12 universities. Since this data set was already being evaluated, it was included in the opioid data collection as well. * The Veteran and Homeless Groups were established as demographic tabs to identify trends and determine needs in conjunction with the City of Tempes Veterans and Homeless programs. Since these data sets were being evaluated already, they were included in the opioid data collection as well. * The unknown group includes incidents where a patient is unable to answer or refuses to answer the demographic questions. Gender Patient gender is documented as male or female when crews are able to obtain this information from the patient. There are some circumstances where this information is not readily determined and the patient is unable to communicate with our crews. In these circumstances, crews may document unknown/unable to determine. Data Set History Data sets were evolving in 2017 due to software upgrades and identifying new parameters to focus data collection on. The 2018 data will be a more comprehensive set of data that includes all the fields identified throughout 2017. Data sets may continue to evolve based on the needs of the community and healthcare trends. Information about the data can be found at Data Documentation
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The incident locations represented are approximated and not the actual location of the incident (or individuals residence). A computer generated randomized distance adjustment is applied to each incident location to ensure data are anonymous. This approximated location data is also shown on the dashboard.Interacting with the DashboardMay 2018 Update: Click on one of the charts to filter the displayed data and drop down options. You can select multiple chart elements at a time (i.e. select male for gender and January and February for month). To clear the filters and return to seeing all the data, click on the selected chart elements to remove them.Click on one or more values in drop down to filter the data shown in the display. To clear filters and return to seeing all of the data, click on selected values in the drop down to remove them. For the date filter, select and then delete the text. The map legend is accessible through the navigation in the upper right hand cornerUse the map selection tool in the upper left corner or the map to select calls in specific areas. The following documents what data are collected and why they are being collected. Additional variables will be added to the dashboard in the next phase.Opioid Abuse ProbableA call may be coded as “opioid abuse probable” for many reasons, such asAre there are any medical symptoms indicative of opioid abuse?Are there physical indicators on scene (i.e. drug paraphernalia, pill bottles, etc.)?Are there witnesses or patient statements made that point to opioid abuse?Is there any other evidence that opioid abuse is probable with the patient?“Opioid abuse probable” is determined by Tempe Fire Medical Rescue Department’s Emergency medical technicians and paramedics on scene at the time of the incident. Narcan/Naloxone Given“Narcan/Naloxone Given” refers to whether the medication Narcan/Naloxone was given to patients who exhibited signs or symptoms of a potential opioid overdose or to patients who fall within treatment protocols that require Narcan/Naloxone to be given. Narcan/Naloxone are the same medication with Narcan being the trade name and Naloxone being the generic name for the medication. Narcan is the reversal medication used by medical providers for opioid overdoses.Groups“Groups” are used to determine if there are specific populations that have an increase in opioid abuse. The student population at ASU was being examined for other purposes to determine ASU's overall call volume impact in Tempe. Data collection with the university is consistent with Fire Departments who provide service to the other PAC 12 universities. Since this data set was already being evaluated, it was included in the opioid data collection as well.The Veteran and Homeless Groups were established as demographic tabs to identify trends and determine needs in conjunction with the City of Tempe’s Veterans and Homeless programs. Since these data sets were being evaluated already, they were included in the opioid data collection as well.The “unknown” group includes incidents where a patient is unable to answer or refuses to answer the demographic questions. GenderPatient gender is documented as male or female when crews are able to obtain this information from the patient. There are some circumstances where this information is not readily determined and the patient is unable to communicate with our crews. In these circumstances, crews may document unknown/unable to determine.
The incident locations represented are approximated and not the actual _location of the incident. Latitudinal and longitudinal coordinates have been truncate to 3 decimal points. The estimated _location lies within approximately a 1/4 mile radius. This approximated _location data is also shown on the dashboard.This feature layer supports the Opioid Abuse Probable EMS Call Dashboard. The following documents what data are collected and why they are being collected. Opioid Abuse ProbableA call may be coded as “opioid abuse probable” for many reasons, such asAre there are any medical symptoms indicative of opioid abuse?Are there physical indicators on scene (i.e. drug paraphernalia, pill bottles, etc.)?Are there witnesses or patient statements made that point to opioid abuse?Is there any other evidence that opioid abuse is probable with the patient?“Opioid abuse probable” is determined by Tempe Fire Medical Rescue Department’s Emergency medical technicians and paramedics on scene at the time of the incident. Narcan/Naloxone Given“Narcan/Naloxone Given” refers to whether the medication Narcan/Naloxone was given to patients who exhibited signs or symptoms of a potential opioid overdose or to patients who fall within treatment protocols that require Narcan/Naloxone to be given. Narcan/Naloxone are the same medication with Narcan being the trade name and Naloxone being the generic name for the medication. Narcan is the reversal medication used by medical providers for opioid overdoses.Groups“Groups” are used to determine if there are specific populations that have an increase in opioid abuse. The student population at ASU was being examined for other purposes to determine ASU's overall call volume impact in Tempe. Data collection with the university is consistent with Fire Departments who provide service to the other PAC 12 universities. Since this data set was already being evaluated, it was included in the opioid data collection as well.The Veteran and Homeless Groups were established as demographic tabs to identify trends and determine needs in conjunction with the City of Tempe’s Veterans and Homeless programs. Since these data sets were being evaluated already, they were included in the opioid data collection as well.The “unknown” group includes incidents where a patient is unable to answer or refuses to answer the demographic questions. GenderPatient gender is documented as male or female when crews are able to obtain this information from the patient. There are some circumstances where this information is not readily determined and the patient is unable to communicate with our crews. In these circumstances, crews may document unknown/unable to determine. Information about the data can be found at https://bit.ly/2xXbD20
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Analysis of ‘Opioid EMS Calls’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/2998f115-d549-46d5-88b4-bc1d751d7569 on 11 February 2022.
--- Dataset description provided by original source is as follows ---
The incident locations represented are approximated and not the actual location of the incident. Latitudinal and longitudinal coordinates have been truncate to 3 decimal points. The estimated location lies within approximately a 1/4 mile radius. This approximated location data is also shown on the dashboard.
This feature layer supports the Opioid Abuse Probable EMS Call Dashboard. The following documents what data are collected and why they are being collected.
Opioid Abuse Probable
A call may be coded as “opioid abuse probable” for many reasons, such as
“Opioid abuse probable” is determined by Tempe Fire Medical Rescue Department’s Emergency medical technicians and paramedics on scene at the time of the incident.
Narcan/Naloxone Given
“Narcan/Naloxone Given” refers to whether the medication Narcan/Naloxone was given to patients who exhibited signs or symptoms of a potential opioid overdose or to patients who fall within treatment protocols that require Narcan/Naloxone to be given. Narcan/Naloxone are the same medication with Narcan being the trade name and Naloxone being the generic name for the medication. Narcan is the reversal medication used by medical providers for opioid overdoses.
Groups
“Groups” are used to determine if there are specific populations that have an increase in opioid abuse.
Gender
Patient gender is documented as male or female when crews are able to obtain this information from the patient. There are some circumstances where this information is not readily determined and the patient is unable to communicate with our crews. In these circumstances, crews may document unknown/unable to determine.
Information about the data can be found at https://bit.ly/2xXbD20
--- Original source retains full ownership of the source dataset ---
The incident locations represented are approximated and not the actual location of the incident (or individuals residence). A computer generated randomized distance adjustment is applied to each incident location to ensure data are anonymous. This approximated location data is also shown on the dashboard.The following documents what data are collected and why they are being collected. Additional variables will be added to the dashboard in the next phase.Opioid Abuse ProbableA call may be coded as “opioid abuse probable” for many reasons, such asAre there are any medical symptoms indicative of opioid abuse?Are there physical indicators on scene (i.e. drug paraphernalia, pill bottles, etc.)?Are there witnesses or patient statements made that point to opioid abuse?Is there any other evidence that opioid abuse is probable with the patient?“Opioid abuse probable” is determined by Tempe Fire Medical Rescue Department’s Emergency medical technicians and paramedics on scene at the time of the incident. Narcan/Naloxone Given“Narcan/Naloxone Given” refers to whether the medication Narcan/Naloxone was given to patients who exhibited signs or symptoms of a potential opioid overdose or to patients who fall within treatment protocols that require Narcan/Naloxone to be given. Narcan/Naloxone are the same medication with Narcan being the trade name and Naloxone being the generic name for the medication. Narcan is the reversal medication used by medical providers for opioid overdoses.Groups“Groups” are used to determine if there are specific populations that have an increase in opioid abuse. The student population at ASU was being examined for other purposes to determine ASU's overall call volume impact in Tempe. Data collection with the university is consistent with Fire Departments who provide service to the other PAC 12 universities. Since this data set was already being evaluated, it was included in the opioid data collection as well.The Veteran and Homeless Groups were established as demographic tabs to identify trends and determine needs in conjunction with the City of Tempe’s Veterans and Homeless programs. Since these data sets were being evaluated already, they were included in the opioid data collection as well.The “unknown” group includes incidents where a patient is unable to answer or refuses to answer the demographic questions. GenderPatient gender is documented as male or female when crews are able to obtain this information from the patient. There are some circumstances where this information is not readily determined and the patient is unable to communicate with our crews. In these circumstances, crews may document unknown/unable to determine.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Analysis of ‘Personal Income Tax Voluntary Contributions: Beginning Fiscal Year 1983’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/6ebabd8d-544d-4485-86df-5529e687d31c on 27 January 2022.
--- Dataset description provided by original source is as follows ---
The Department of Taxation and Finance annually produces a compilation of voluntary contributions made by taxpayers on their personal income tax returns. The dataset provides a history of these contributions beginning with fiscal year 1983. New Yorkers are currently allowed to check off on their state income tax forms to give voluntary contributions to ten different Funds: • Return a Gift to Wildlife (est. 1982); • Lake Placid Olympic Training Center Fund (est. 1995); • Breast Cancer Research and Education Fund (est. 1996); • Missing & Exploited Children Clearinghouse Fund (est. 1997); • Alzheimer's Disease Fund (est. 1999); • Prostate Cancer Research Fund (est. 2004); • World Trade Center Memorial Foundation Fund (est. 2005); • Volunteer Firefighting & EMS Recruitment and Retention Fund (est. 2009); • Teen Health Education Fund (est. 2013); • Veterans Remembrance & Cemetery Maintenance & Operation Fund (est. 2013); • Women's Cancer Education and Prevention Fund (est. 2015); • Homeless Veterans Assistance Fund (est. 2015); and • Mental Illness Anti-Stigma Fund (est. 2015) • Autism Fund (est. 2016) • Veterans Homes Fund (est. 2017) • Love Your Library Fund (est. 2018) • Lupus Education Contribution Fund (est. 2018) • Military Families Relief Fund (est. 2018) • CUNY Fund (est. 2018) Personal income taxpayers may increase their final remittances or reduce their overpayments by the amount of their contribution. Please see https://www.tax.ny.gov/pit/file/voluntary_contributions.htm for description of each fund.
--- Original source retains full ownership of the source dataset ---
The Department of Taxation and Finance annually produces a compilation of voluntary contributions made by taxpayers on their personal income tax returns. The dataset provides a history of these contributions beginning with fiscal year 1983. New Yorkers are currently allowed to check off on their state income tax forms to give voluntary contributions to ten different Funds: • Return a Gift to Wildlife (est. 1982); • Lake Placid Olympic Training Center Fund (est. 1995); • Breast Cancer Research and Education Fund (est. 1996); • Missing & Exploited Children Clearinghouse Fund (est. 1997); • Alzheimer's Disease Fund (est. 1999); • Prostate Cancer Research Fund (est. 2004); • World Trade Center Memorial Foundation Fund (est. 2005); • Volunteer Firefighting & EMS Recruitment and Retention Fund (est. 2009); • Teen Health Education Fund (est. 2013); • Veterans Remembrance & Cemetery Maintenance & Operation Fund (est. 2013); • Women's Cancer Education and Prevention Fund (est. 2015); • Homeless Veterans Assistance Fund (est. 2015); and • Mental Illness Anti-Stigma Fund (est. 2015) Personal income taxpayers may increase their final remittances or reduce their overpayments by the amount of their contribution. Please see https://www.tax.ny.gov/pit/file/voluntary_contributions.htm for description of each fund.
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This database contains the data reported in the Annual Homeless Assessment Report to Congress (AHAR). It represents a point-In-time count (PIT) of homeless individuals, as well as a housing inventory count (HIC) conducted annually.
The data represent the most comprehensive national-level assessment of homelessness in America, including PIT and HIC estimates of homelessness, as well as estimates of chronically homeless persons, homeless veterans, and homeless children and youth.
These data can be trended over time and correlated with other metrics of housing availability and affordability, in order to better understand the particular type of housing resources that may be needed from a social determinants of health perspective.
HUD captures these data annually through the Continuum of Care (CoC) program. CoC-level reporting data have been crosswalked to county levels for purposes of analysis of this dataset.
You can use the BigQuery Python client library to query tables in this dataset in Kernels. Note that methods available in Kernels are limited to querying data. Tables are at bigquery-public-data.sdoh_hud_pit_homelessness
What has been the change in the number of homeless veterans in the state of New York’s CoC Regions since 2012? Determine how the patterns of homeless veterans have changes across the state of New York
homeless_2018 AS (
SELECT Homeless_Veterans AS Vet18, CoC_Name
FROM bigquery-public-data.sdoh_hud_pit_homelessness.hud_pit_by_coc
WHERE SUBSTR(CoC_Number,0,2) = "NY" AND Count_Year = 2018
),
veterans_change AS ( SELECT homeless_2012.COC_Name, Vet12, Vet18, Vet18 - Vet12 AS VetChange FROM homeless_2018 JOIN homeless_2012 ON homeless_2018.CoC_Name = homeless_2012.CoC_Name )
SELECT * FROM veterans_change