| A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | AA | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | https://docs.google.com/spreadsheets/d/1PNBM1K4oDrR_wfpkYysJtO9L9-gBkQvr/edit?amp%3Bouid=101741312921530224273&%3Brtpof=true&%3Bsd=true&gid=593015535#gid=593015535 | |||||||||||||||||||||||||||
2 | ||||||||||||||||||||||||||||
3 | KEY: | Age-Friendly Council Focus Areas | Age-Friendly County Domains | Overlap: Age-Friendly Council Focus Areas and Age-Friendly County Domains | Cross-Cutting across multiple categories | |||||||||||||||||||||||
4 | URL / where to access | Notes | Source submitted by: | Additional Notes | Data Source | Alzheimer's/Dementia | Caregiving | Policy/Legislation | Outdoor Spaces and Buildings / Air Quality/Pollution | Health Services and Community Supports / Skilled Nursing(MDS)/Home Health(OASIS) | Health Services and Community Supports / Medical Utilization(Hospital, Skilled Nursing) | Health Services and Community Supports / Chronic Health Condition(s) | Health Services and Community Supports / Health Insurance | Housing/Homelessness | Transportation | Digital Inclusion / Communication and Information | People with Disability | Income | Individuals 65 and over | Race/Ethnicity | Language | Education | Nutrition/Food Insecurity | Behavioral Health/Mental Health | Health behaviors (tobacco, alcohol, drug use, etc) | Geograghic Level(zip code, census tract, neighborhood) | Multiple Data | |
5 | City of Oakland | OakDOT Geographic Equity Toolbox (oaklandca.gov) | Best practices; a bit of information about equitable data collection | Ana Bagtas, ABagtas@oaklandca.gov | The Priority Neighborhoods layer gives each census tract in Oakland a level of priority between lowest and highest determined by seven demographic factors | Oakland Department of Transportation’s Equity Toolbox | X | X | X | X | The Priority Neighborhoods layer gives each census tract in Oakland a level of priority between lowest and highest determined by seven demographic factors (Source: 5-Year 2022 American Community Survey):People of Color [25% of score]; Low-Income Households (<50% Area Median Income) [25% of score]; People with Disability [10% of score]; Seniors 65 Years and Over [10% of score]; Single Parent Families [10% of score]; Severely Rent-Burdened Households [10% of score]; Low Educational Attainment (less than a bachelor's degree) [10% of score]; | ||||||||||||||||||
6 | https://www.ncoa.org/benefits-participation-map/ | National database that can be viewed by state and by county. Includes SNAP, SSI and Medicare Savings Programs. | This tool shows program participation rates for adults age 65+ nationally and by state and county. It covers three programs: Supplemental Nutrition Assistance Program , Supplemental Security Income and Medicare Savings Programs State and county levels only. | National Council on Aging Benefits Participation Map | X | X | X | Benefits programs can help low-income people afford daily necessities like food, health care, and utilities. But millions of older adults who are eligible for these programs are not enrolled. This tool shows program participation rates for adults age 65+ nationally and by state and county. It covers three programs: Supplemental Nutrition Assistance Program (SNAP, monthly support for food), Supplemental Security Income (SSI, monthly cash aid), and Medicare Savings Programs (MSPs, help for Medicare premiums, deductibles, and co-insurance). State and county levels only. | ||||||||||||||||||||
7 | Healthy Aging Data and Educational Materials | Data on Brain Injury and Suicide among older Adults | Amrit Gill amritpal.gill@acgov.org | Summary reports and shorter pdfs. Also points to https://skylab.cdph.ca.gov/communityBurden/ (specific causes of death by age for county/state) and epicenter https://skylab4.cdph.ca.gov/epicenter/ (injury by intent and mech by age groups by other demog by county or state) and https://mpa.aging.ca.gov/DashBoard (dashboard with things like inclusion/equity, sevices/gaps, housing, caregiving, affordability, etc) at county/state levels . | California Public Health Department: injury and violence prevention branch | X | X | Summary reports and shorter pdfs. Also points to https://skylab.cdph.ca.gov/communityBurden/ (specific causes of death by age for county/state) and epicenter https://skylab4.cdph.ca.gov/epicenter/ (injury by intent and mech by age groups by other demog by county or state) and https://mpa.aging.ca.gov/DashBoard (dashboard with things like inclusion/equity, sevices/gaps, housing, caregiving, affordability, etc) at county/state levels . Eg from summary reports: Unintentional falls were the most common cause of TBI deaths, hospitalizations, and ED visits among older Californians in 2021. Additional common causes of death were suicides by firearm and unintentional motor vehicle traffic (MVT) collisions. The most common causes of hospitalizations beyond falls were unintentional MVT collisions and unintentional strikes to the head. These three categories were also the most common causes for ED visits. | ||||||||||||||||||||
8 | https://public.tableau.com/app/discover | A free platform to explore, create, and publicly share data visualizations online. | Amrit Gill amritpal.gill@acgov.org | Tableau Public: Data Visualizer | ||||||||||||||||||||||||
9 | PolicyMap - Dig Deeper | A very useful map that shows various information such as income, housing, demographics and ect. | Amrit Gill amritpal.gill@acgov.org | Eg demograhics (including homelessness), income and spending, housing, lending, quality of life, economy, educaiton, health m feederal guidelines, curated collections, etc) by county for US | Policy Map | X | X | X | Eg demograhics (including homelessness), income and spending, housing, lending, quality of life, economy, educaiton, health m feederal guidelines, curated collections, etc) by county for US | |||||||||||||||||||
10 | https://agsjournals.onlinelibrary.wiley.com/doi/10.1111/jgs.19058 | Journal of the American Geriatrcis Society; shows that one in seven (14%) American Indian and Alaska Native peoples diagnosed with dementia are between the ages of 45 and 64 — known as younger-onset dementia | Andrea Dodge, Andrea.Dodge2@acgov.org | Study: Alzheimer's disease and related dementia diagnoses among American Indian and Alaska Native adults aged ≥45 years, Indian Health Service System, 2016–2020 | X | |||||||||||||||||||||||
11 | https://dementiadatahub.org/content/dementiadatahub/us/en.html | The number and rates of diagnosed dementia cases by state and county are available through the newly-launched Dementia DataHub from NORC at the University of Chicago. This is the first publicly-available dataset that includes diagnosis data from both fee-for-service Medicare and Medicare Advantage, providing the most complete picture to date of dementia diagnoses among Medicare beneficiaries. | Andrea Dodge, Andrea.Dodge2@acgov.org | has interesting categories like likely dementia, highly likely etc. Looks at incidence, prevalence, mortality at county level (although data not available for incidence) | ADRD Data Hub (New!) from NORC at the University of Chicago | X | has interesting categories like likely dementia, highly likely etc. Looks at incidence, prevalence, mortality at county level (although data not available for incidence) | |||||||||||||||||||||
12 | Home | Digital Democracy (calmatters.org) | Complete data base on Califronia legislative platform. Helpful in checking bill status | Amrit Gill amritpal.gill@acgov.org | Digital Democracy- Cal Matters | X | |||||||||||||||||||||||
13 | https://agefriendly.acgov.org/af-efforts/internet-survey.page | Alameda County Age Friendly Digital Inclusion Survey Reports | X | |||||||||||||||||||||||||
14 | Behavioral Risk Factor Surveillance System (cdc.gov) | Behavioral Risk Factor Surveillance Survey (BRFSS ) | X | X | ||||||||||||||||||||||||
15 | California Health Interview Survey (CHIS) (ucla.edu) | California Health Interview Survey | x | x | x | x | x | x | x | x | ||||||||||||||||||
16 | https://healthpolicy.ucla.edu/our-work/askchis-ne | CHIS-California Health Interview Survey-Neighborhood Edition | ||||||||||||||||||||||||||
17 | https://data.cms.gov/tools/mapping-medicare-disparities-by-population | Medicaid and Medicare Services Disparities Dashboard | X | |||||||||||||||||||||||||
18 | https://www.healthyalamedacounty.org/ | Healthy Alameda County | ||||||||||||||||||||||||||
19 | https://www.accfb.org/impact/research/ | links to Urban Institute 2018 Risk for Food Insecurity, Pathways for Community Voices | Jessi Cutter, Jcutter@oaklandca.gov | Alameda County Food Bank Survey | X | |||||||||||||||||||||||
20 | https://eldercare.shinyapps.io/eldercaredata_shinyapps/ | CareJourney(Medicare fee-for-service claims data for nursing home(MDS) and home health(OASIS) data including ER Breakdowns, ER & Hospital Use, Outcomes, Spending, Falls) - Can analyze Alameda County | X | X | ||||||||||||||||||||||||
21 | https://mpa.aging.ca.gov/DashBoard/ | Population data by state and county, Plus a dashboard showing data aligned with MPA Goals around Housing, Caregiving, Health, Inclusion,and | Master Plan for Aging Dashboard | x | x | x | x | x | x | x | ||||||||||||||||||
22 | Homeless Data Integration System - California Interagency Council on Homelessness | chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://bcsh.ca.gov/calich/documents/older_adults.pdf | California HDIS Data | |||||||||||||||||||||||||
23 | Ageism Fact Sheet - Ageism Awareness Day_0.pdf (asaging.org) | Data with numbers on Ageism | Ageism Fact Sheet | |||||||||||||||||||||||||
24 | ||||||||||||||||||||||||||||
25 | https://nationalequityatlas.org/ | America's most detailed report card on racial and economic equity. The Atlas is produced by PolicyLink and the USC Equity Research Institute | i. National Equity Atlas | |||||||||||||||||||||||||
26 | i. https://oehha.ca.gov/calenviroscreen | CalEnviroScreen is a mapping tool that helps identify California communities that are most affected by many sources of pollution, and where people are often especially vulnerable to pollution’s effects. CalEnviroScreen uses environmental, health, and socioeconomic information to produce scores for every census tract in the state. | calenviroscreen | |||||||||||||||||||||||||
27 | Homepage - Access Alameda | The website shows you which transportation and paratransit services you can use based on where you live, where you’re going, your age, and your ability to use public transit. Options may include public transit, Americans with Disabilities Act (ADA) paratransit, affordable same-day services, shuttles, volunteer driver programs, and hands-on travel training on how to use these services. | Mallika Gupta, mgupta@nelsonnygaard.com | Alameda County Transportation Commission (Alameda CTC) | ||||||||||||||||||||||||
28 | Area Agency on Aging's Countywide Area Plan for Older Adults. | Planning outlined for older adults of Alameda County. Survey data collected from older adults throughout our county is presesnt in this plan | 2024-2028 Countywide Area Plan for Older Adults. | |||||||||||||||||||||||||
29 | Community Assessment, Planning and Evaluation Unit of Alameda County has this data | HCAI hospitalization and Emergency dept data | ||||||||||||||||||||||||||
30 | Community Assessment, Planning and Evaluation Unit of Alameda County has this data | Mortality data | ||||||||||||||||||||||||||
31 | data more robust only if transferred to hospital, in fall data, also may tell what injury is but not cause (eg may not mention from a fall) | EMS data | ||||||||||||||||||||||||||
32 | Older Adult Falls Data | Older Adult Fall Prevention | CDC | Falls data on a national and state level | CDC data and information on Older Adult Falls/Trauma | |||||||||||||||||||||||||
33 | source: Board packet for Alameda Alliance | Deidentifying ECM population of focus data and the CS Supports | CalAIM | |||||||||||||||||||||||||
34 | Call Demographic & Data | Data request from the Data Committee for 211 Calls around housing | 211 | |||||||||||||||||||||||||
35 | Feeds: HIMS, EMS, Collective Medical Technologies(CMT), MEDS (Medi-Cal Eligibility | SHIE | ||||||||||||||||||||||||||
36 | Alameda County, California – AARP Livability Index | The AARP Livability Index scores neighborhoods and communities across the U.S. for the services and amenities that impact individuals the most. | Most of this data comes from the American Community Survey of the US Census: https://www.census.gov/programs-surveys/acs | AARP Livability Index | Most of this data comes from the American Community Survey of the US Census: https://www.census.gov/programs-surveys/acs | |||||||||||||||||||||||
37 | https://homelessness.ucsf.edu/our-impact/studies/hope-home | HOPE HOME Study (Health Outcomes of People Experiencing Homelessness in Older Middle Age) | ||||||||||||||||||||||||||
38 | https://homelessness.ucsf.edu/our-impact/studies/california-statewide-study-people-experiencing-homelessness | The largest representative study of homelessness since the mid-1990s. Key takeaway: The single adult homeless population in California is aging, with nearly half age 50 and older, 41% of whom had their first ever episode of homelessness after age 50. | Katie Alducin | California Statewide Study of People Experiencing Homelessness | ||||||||||||||||||||||||
39 | https://www.pnas.org/doi/10.1073/pnas.2305860120 | The paper includes some methodology to try and cross-reference evictions against demographic data to better understand who is being evicted | Ben Chen | Article from The Eviction Lab on lack of demographics in court evictions - provides possible solutions | X | |||||||||||||||||||||||
40 | https://www.census.gov/programs-surveys/acs | US Census Data: American Community Survey | ||||||||||||||||||||||||||
41 | https://www.neighborhoodatlas.medicine.wisc.edu/ | Mapping tool that ranks every census block in the US by measures of what it calls neighborhood disadvantage, including income, education, employment, and housing quality. Not clear whether it breaks down by age. Need an account to access; will update this after my account is approved. | Andrea Dodge, Andrea.Dodge2@acgov.org | Neighborhood Atlas (Center for Health Disparities Research, University of Wisconsin School of Medicine and Public Health) | x | x | x | x | ||||||||||||||||||||
42 | Health Care Affordability for Older Adults: How the U.S. Compares to Other Countries | Andrea Dodge, Andrea.Dodge2@acgov.org | Health Care Affordability for Older Adults: How the U.S. Compares to Other Countries. The Commonwealth Fund Issue Brief, 12/4/24 | x | x | |||||||||||||||||||||||
43 | California Violent Death Reporting System (CalVDRS) | CalVDRS combines data on violent deaths from various data providers (i.e., vital records, law enforcement and coroners/medical examiners) in one secure and confidential database. | California Violent Death Reporting System (CalVDRS) | |||||||||||||||||||||||||
44 | Data | Homelessness Solutions | Alameda County | Every two years, the US Department of Housing and Urban Development (HUD) requires communities to conduct a Point-in-Time (PIT) Count of individuals, youth, and families experiencing homelessness and to provide specific data about their demographics and characteristics. The count includes those who are forced to sleep outdoors, in vehicles, tents or makeshift structures as well as a count of people residing in shelters, transitional housing and safe parking programs. | Homeless Point In Time Count | x | ||||||||||||||||||||||||
45 | https://www.achch.org/uploads/7/2/5/4/72547769/alameda_county_homeless_mortality_report_cy2021_04122023.pdf | Alameda County Homeless Mortality Report 2021 | ||||||||||||||||||||||||||
46 | LGBTQIA+ Older Adult Survey Report | Results are in from California’s first statewide survey about the current and future health and well-being of LGBTQIA+ older adults. The survey focused on seven key quality of life areas, and the report outlines recommendations to address the challenges and opportunities shared by more than 4,000 survey respondents. | CDA LGBTQIA+ Older Adult Survey Report | |||||||||||||||||||||||||
47 | https://www.acgov.org/board/bos_calendar/documents/DocsAgendaReg_11_25_24/HEALTH%20CARE%20SERVICES/Regular%20Calendar/Item_1_ACHealth_Disabled_comm_health.pdf | Includes behavioral health, housing, education data as it relates to disability | Disabled Community in Alameda County: 11/25/24| Special Series on Community Health - Board of Supervisors meeting | X | X | X | X | X | ||||||||||||||||||||
48 | Snapshot of Older Adults in Alameda County Accessible Outline | Snap shot of Older Adults in Alameda County | ||||||||||||||||||||||||||
49 | https://www.datarescueproject.org/ | From webinar about federal data purge | Kim Fogel | Data rescue efforts | X | |||||||||||||||||||||||
50 | https://www.library.ca.gov/government-publications/federal-resource-changes/ | From webinar about federal data purge | Kim Fogel | Data rescue efforts | X | |||||||||||||||||||||||
51 | https://www.neighborhoodindicators.org/ | From webinar about federal data purge | Kim Fogel | Data rescue efforts | X | |||||||||||||||||||||||
52 | National Neighborhood Data Archive (NaNDA) | From webinar about federal data purge | Kim Fogel | Data rescue efforts | X | |||||||||||||||||||||||
53 | Research Areas | From webinar about federal data purge | Kim Fogel | Health data | X | |||||||||||||||||||||||
54 | Estimates | Department of Finance | State's annual population and housing estimates | Kim Fogel | State of CA Dept of Finance | X | X | ||||||||||||||||||||||
55 | https://www.cdcdataproject.org/ | This new site summarizes publicly available federal agency and budget data to show the impact of the proposed FY26 budget on efforts to help Americans live safer, healthier and longer lives. | Andrea Dodge | CDC Data Project | X | X | X | X | X | |||||||||||||||||||
56 | https://public.tableau.com/app/profile/aarp.research/viz/SocialSecurityQuickFacts/QuickFacts?CMP=EMC-DSM-NLC-OTH-LC-2006103-2159902-9411816-NA-07092025-LivableCommunities-1-ssqf-CTA-ALL-Community-&encparam=Up0s7focubLbKxYzkabBRlzHu714beIBaxVqLpUc7ag%3d | Social Security Quick Facts : Around who receives Social Secuirty in the United States, ecomoic impacts, average social security payment | Amrit Gill | AARP Social Security Quick Facts | X | |||||||||||||||||||||||
57 | https://data.ca.gov/dataset/homelessness-demographics | Wendy Peterson | California Open Data Portal - People Receiving Homeless Response Services by Age, Race, Gender, Veteran Status, and Disability Status | x | ||||||||||||||||||||||||
58 | California 2025-26 Enacted Budget Impact on Older Adults and People with Disabilities – The SCAN Foundation | Kim Fogel | California 2025-26 Enacted Budget Impact on Older Adults and People with Disabilities – The SCAN Foundation | X | X | X | X | X | X | X | X | X | X | X | ||||||||||||||
59 | LTSS Users by State, County, and Setting | Kim Fogel | ATI Dashboard: LTSS Users by State and County | ATI Advisory | X | X | X | X | X | X | X | X | |||||||||||||||||
60 | https://healthpolicy.ucla.edu/our-work/elder-index/dashboards | Statewide data on older adults age 65+. Some of it can be sorted by county - example: https://healthpolicy.ucla.edu/our-work/elder-index/dashboards/demographics | Andrea Dodge / Wendy Peterson | UCLA Center for Health Policy Research: California Elder Index | x | x | x | x | x | |||||||||||||||||||
61 | Association of Public Data Users – A voice for public data | Government Statistical Data | Kim Fogel | The Association of Public Data Users (APDU) is a national network that connects users, producers, and disseminators of government statistical data. APDU members share a vital concern about the collection, dissemination, preservation, and interpretation of public data. | BARHII data justice webinar 9/19 | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | ||||||
62 | Regional Pacific Islander Task Force – Bay Area | AC Health Dept worked on this; I just learned about at a webinar | Kim Fogel | I asked one of the presenters if they'd like to present at our committee - haven't heard back | BARHII data justice webinar 9/19 | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | |||||||
63 | Data & Reports | AC Health Dept CAPE data | Kim Fogel | As discussed 10/9/25 | AC Health Dept CAPE | x | x | x | x | x | x | x | x | x | x | x | x | x | x | x | x | x | x | x | x | |||
64 | https://www.aarp.org/content/dam/aarp/ppi/topics/ltss/family-caregiving/caregiving-in-us-2025.doi.10.26419-2fppi.00373.001.pdf | Caregiving in the US 2025- Report by AARP | Amrit Gill | AARP | x | |||||||||||||||||||||||
65 | ||||||||||||||||||||||||||||
66 | ||||||||||||||||||||||||||||
67 | ||||||||||||||||||||||||||||
68 | ||||||||||||||||||||||||||||
69 | ||||||||||||||||||||||||||||
70 | ||||||||||||||||||||||||||||
71 | ||||||||||||||||||||||||||||
72 | ||||||||||||||||||||||||||||
73 | ||||||||||||||||||||||||||||
74 | ||||||||||||||||||||||||||||
75 | ||||||||||||||||||||||||||||
76 | ||||||||||||||||||||||||||||
77 | ||||||||||||||||||||||||||||
78 | ||||||||||||||||||||||||||||
79 | ||||||||||||||||||||||||||||
80 | ||||||||||||||||||||||||||||
81 | ||||||||||||||||||||||||||||
82 | ||||||||||||||||||||||||||||
83 | ||||||||||||||||||||||||||||
84 | ||||||||||||||||||||||||||||
85 | ||||||||||||||||||||||||||||
86 | ||||||||||||||||||||||||||||
87 | ||||||||||||||||||||||||||||
88 | ||||||||||||||||||||||||||||
89 | ||||||||||||||||||||||||||||
90 | ||||||||||||||||||||||||||||
91 | ||||||||||||||||||||||||||||
92 | ||||||||||||||||||||||||||||
93 | ||||||||||||||||||||||||||||
94 | ||||||||||||||||||||||||||||
95 | ||||||||||||||||||||||||||||
96 | ||||||||||||||||||||||||||||
97 | ||||||||||||||||||||||||||||
98 | ||||||||||||||||||||||||||||
99 | ||||||||||||||||||||||||||||
100 |