The Center for Disease Control and Prevention (CDC) and Agency for Toxic Substances and Disease Registry (ATSDR) Social Vulnerability Index (CDC/ATSDR SVI) uses 16 U.S. census variables to help local officials identify communities that may need support before, during, or after disasters. https://www.atsdr.cdc.gov/placeandhealth/svi/index.html
Social Vulnerability Index
Data Source ID
1
Author
The Center for Disease Control and Prevention (CDC) and Agency for Toxic Substances and Disease Registry (ATSDR)
Materials developed by CDC. Reference to specific commercial products, manufacturers, companies, or trademarks does not constitute its endorsement or recommendation by the U.S. Government, Department of Health and Human Services, or Centers for Disease Control and Prevention. All data is available on CDC website free of charge.
Access Citation
Agency for Toxic Substances and Disease Registry. CDC/ATSDR Social Vulnerability Index (CDC/ATSDR SVI). CDC/ATSDR Social Vulnerability Index (CDC/ATSDR SVI): Overview. June 14, 2024. [Access date: Month Day, Year]. https://www.atsdr.cdc.gov/placeandhealth/svi/index.html.
SVI, Social Vulnerability Index, Place and Health, Financial Stability
Topic Classification
Finances, Health and Health Care, Housing
Subject
Health Disparities, Housing Instability/Insecurity, Income/Financial Security
Analysis Unit
Census Tract
Universe
US
Geographic Unit
county, census tract
Data Collection Start
2020
Data Collection End
2020
Time Unit
year
Geographic Coverage
US
Geographic Coverage States
UT, ID, MT, WY, NV, all states and DC
Observation Count
GIS Join Name
GIS Join ID
Geographic Bounding Box SW
Geographic Bounding Box NE
Geographic Bounding Box
Notes
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Social Determinants of Health Database
Agency for Healthcare Research and Quality's (AHRQ) database on Social Determinants of Health (SDOH) was created under a project funded by the Patient Centered Outcomes Research (PCOR) Trust Fund. The purpose of this project is to create easy to use, easily linkable SDOH-focused data to use in PCOR research, inform approaches to address emerging health issues, and ultimately contribute to improved health outcomes. https://www.ahrq.gov/sdoh/data-analytics/sdoh-data.html
Materials developed by HHS AHRQ. Reference to specific commercial products, manufacturers, companies, or trademarks does not constitute its endorsement or recommendation by the U.S. Government, Department of Health and Human Services, or Centers for Disease Control and Prevention.
Access Citation
Agency for Healthcare Research and Quality. Social Determinants of Health Database | Agency for Healthcare Research and Quality. Social Determinants of Health Database. June 2023. [Access date: Month Day, Year]. https://www.ahrq.gov/sdoh/data-analytics/sdoh-data.html.
US Census, American Hospital Association, Area Health Resoureces File
Funding Agency
Patient Centered Outcomes Research (PCOR)
Keywords
SDH, Social Determinants of Health, emerging health issues, improved health outcomes, poverty, environment,
Topic Classification
Health and Health Care
Subject
Health Disparities, Income/Financial Security, Financial Stress, Access to Healthcare
Analysis Unit
Census Tract
Universe
US
Geographic Unit
county, census tract, ZCTA
Data Collection Start
2020
Data Collection End
2020
Time Unit
year
Geographic Coverage
US
Geographic Coverage States
UT, ID, MT, WY, NV, all states and DC
Observation Count
GIS Join Name
GIS Join ID
Geographic Bounding Box SW
Geographic Bounding Box NE
Geographic Bounding Box
Notes
The origin of the datasets comes from multiple sources. Should I include all references in the data origin row as there are too many of them?
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School Finance Indicators Database
The State Indicators Database (SID) is a dataset of roughly 125 state-by-state school funding measures for each state between 1993 and 2020 (not all variables are available in every year). It includes variables for assessing, between and within states (by district poverty level): the adequacy of spending levels; the fairness of state and local spending and revenue (whether poorer districts receive more resources); state “fiscal effort” (how much of states’ economic capacity is devoted to education); resource allocation (e.g., teacher pay, staffing ratios); and more. https://www.schoolfinancedata.org/download-data/
School Finance Indicators Database
Data Source ID
18
Author
Albert Shanker Institute, University of Miami School of Education and Human Development, and the Rutgers University Graduate School of Education
The School Finance Indicators Database (SFID) is the sole property of the authors. Public use of the datasets and results is encouraged, with proper attribution. Any alternative use of the data, models, or methods of the SFID must be approved by the authors. You agree not to use the data sets for commercial advantage, or in the course of for-profit activities (with the exception of journalists). Commercial entities wishing to use the data should contact the Albert Shanker Institute.
Access Citation
Albert Shanker Institute, University of Miami School of Education and Human Development, Rutgers University Graduate School of Education. School Finance Indicators Database: Download Data. School Finance Indicators Database. 2024. [Access date: Month Day, Year]. https://www.schoolfinancedata.org/download-data/.
Last Update
9/18/2023
Data Origins
American Community Survey, Bureau of Economic Analysis, Education Comparable Wage Index (ECWI)
American Community Survey, Bureau of Economic Analysis, Education Comparable Wage Index (ECWI)
Funding Agency
School Finnance Indicators Database
Keywords
district poverty level, adequacy of spending levels, fairness of state and local spending and revenue, state fiscal effort, economic capacity, education, resource allocation, teacher pay, staffing ratios
Topic Classification
Education
Subject
Education, Educational equity, School Environment
Analysis Unit
State
Universe
US
Geographic Unit
state
Data Collection Start
2020
Data Collection End
2020
Time Unit
year
Geographic Coverage
US
Geographic Coverage States
UT, ID, MT, WY, NV, all states and DC
Observation Count
GIS Join Name
GIS Join ID
Geographic Bounding Box SW
Geographic Bounding Box NE
Geographic Bounding Box
Notes
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Center for Disease Control and Prvention (CDC) National Program of Cancer Registries (NPCR), National Cancer Institute’s (NCI) Surveillance, Epidemiology, and End Results (SEER) Program, National Center for Health Statistics.
Materials developed by CDC National Center for Health Statistics (NCHS). Reference to specific commercial products, manufacturers, companies, or trademarks does not constitute its endorsement or recommendation by the U.S. Government, Department of Health and Human Services, or Centers for Disease Control and Prevention. All data is available on CDC website free of charge.
Access Citation
U.S. Cancer Statistics Working Group. U.S. Cancer Statistics Data Visualizations Tool, based on 2022 submission data (1999–2020): U.S. Department of Health and Human Services, Centers for Disease Control and Prevention and National Cancer Institute; www.cdc.gov/cancer/dataviz, released in June 2023.
cancer, breast, prostate, lung and bronchus, colon and rectum, corpus and uterus, melanoma of the skin, urinary bladder, non-Hodgkin lymphoma, kidney and renal pelvis, pancreas
Topic Classification
Health and Health Care
Subject
cancer
Analysis Unit
State
Universe
US
Geographic Unit
state
Data Collection Start
2020
Data Collection End
2020
Time Unit
year
Geographic Coverage
US, Puerto Rico
Geographic Coverage States
UT, ID, MT, WY, NV, all states and DC, US roll-up
Observation Count
GIS Join Name
GIS Join ID
Geographic Bounding Box SW
Geographic Bounding Box NE
Geographic Bounding Box
Notes
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Substance Abuse and Mental Health Data Archive
Treatment Episode Data Set: Admissions (TEDS-A) is a national data system of annual admissions to substance use treatment facilities. A sibling data system—Treatment Episode Data Set: Discharges (TEDS-D)—collects data on discharges. TEDS-A contains records on admissions of people aged 12 and older, and includes information on admission demographics (for example, age, sex, race/ethnicity, employment status) and substance use characteristics (for example, substances used, age at first use, route of use, frequency of use, number of prior admissions). TEDS-A records represent admissions rather than individuals, as a person may be admitted to treatment more than once. https://www.datafiles.samhsa.gov/dataset/treatment-episode-data-set-admissions-2020-teds-2020-ds0001
Materials developed by HHS Substance Abuse and Mental Health Services Administration (SAMHSA). Reference to specific commercial products, manufacturers, companies, or trademarks does not constitute its endorsement or recommendation by the U.S. Government, Department of Health and Human Services, or SAMHSA. All data is available on SAMHSA website free of charge.
Access Citation
Substance Abuse and Mental Health Administration (SAMHSA). Treatment episode data set: Admissions (TEDS-A) client-level substance use data: Admissions. Substance Abuse and Mental Health Administration - Treatment episode data set: Admissions (TEDS-A). 2024. [Access date: Month Day, Year]. https://www.datafiles.samhsa.gov/dataset/treatment-episode-data-set-admissions-2020-teds-2020-ds0001.
Last Update
9/28/2023
Data Origins
State agency data systems
Supporting Reference
Data Collector
Treatment Episode Data Set (TEDS)
Funding Agency
The Substance Abuse and Mental Health Services Administration (SAMHSA)
Keywords
admissions to substance use treatment facilities, admission demographics, substance use characteristics, substances used, age at first use, route of use, frequency of use, number of prior admissions
Topic Classification
Health and Health Care
Subject
Substance Use and Addiction
Analysis Unit
State
Universe
US
Geographic Unit
state
Data Collection Start
2020
Data Collection End
2020
Time Unit
year
Geographic Coverage
US
Geographic Coverage States
UT, ID, MT, WY, NV, US states, DC, and PR
Observation Count
GIS Join Name
GIS Join ID
Geographic Bounding Box SW
Geographic Bounding Box NE
Geographic Bounding Box
Notes
URL and permissions checked. -DB
Website will be updated in 2024.
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National Inpatient Sample
The National (Nationwide) Inpatient Sample (NIS) is part of a family of databases and software tools developed for the Healthcare Cost and Utilization Project (HCUP). https://hcup-us.ahrq.gov/nisoverview.jsp
Materials developed by the US Department of Health and Human Services Agency for Healthcare Research and Quality (HHS AHRQ). Reference to specific commercial products, manufacturers, companies, or trademarks does not constitute its endorsement or recommendation by the U.S. Government or Department of Health and Human Services. All data is available on HHS AHRQ website free of charge.
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