Data & downloads: every number on this site

How to check our work

Each data page names the source for every record it shows. If you want to go further, download the file below and search for the row. If a number on this site is not in one of these files, it is a bug — please tell us.

The current data was collected on 2026-09-21. The full record of what was searched, found and deliberately excluded is in RESEARCH_LOG.md, and every source URL opened is listed in sources.md.

Don't want to download anything?

Search the data lets you find a column by name across every panel below, see how populated it actually is, and filter rows on the server — plus a JSON endpoint at /data/query.json for scripts.

Download the data

43 files

trials.csv Registered Alzheimer's clinical trials (ClinicalTrials.gov API v2 pull) 3.8 MB · 7816 rows

mortality_us.csv US Alzheimer's and dementia deaths by year, sex, age, race (CDC WONDER) 1.6 MB · 6474 rows

biomarkers.csv Diagnostic-accuracy table for blood, CSF and imaging biomarkers 81 KB · 95 rows

genetics_gwas.csv Genome-wide association study loci for Alzheimer's disease 373 KB · 807 rows

panel_state.csv Analysis-ready panel: one row per US state 19 KB · 51 rows

panel_county.csv Analysis-ready panel: one row per US county 2.5 MB · 3143 rows

panel_country.csv Analysis-ready panel: one row per country 62 KB · 217 rows

timeseries_national.csv US national time series (prevalence, deaths, costs, funding) 842 B · 13 rows

timeseries_country.csv Country-year long-format time series 2.1 MB · 65946 rows

panel_state_meta.json Column dictionary for panel_state.csv 38 KB · 67 rows

alz_cognitive_state.json CDC BRFSS cognitive-decline and caregiving measures by state, 2015-2022 (collected from data.cdc.gov) 419 KB · 16 rows

owid_dementia_timeseries.csv Dementia deaths and age-standardised death rate per 100,000 by country and year, 2000-2021, 143 countries (IHME Global Burden of Disease via Our World in Data). Modelled estimates, not counted deaths. 94 KB · 3146 rows

correlation_studies.json Catalogue of correlation studies: exposure, outcome, feasibility and confounder for each 243 KB · 7 rows

correlation_results.json Computed correlations for every study the data currently supports 52 KB · 3 rows

correlation_report.json Full correlation analysis: 257 coefficients across counties, states, countries, studies, genetics and drugs, with baseline, partial-control and sign-stability checks for each (JSON) 887 KB · 12 rows

panel_county_meta.json Column dictionary for panel_county.csv 150 KB · 144 rows

panel_country_meta.json Column dictionary for panel_country.csv 24 KB · 49 rows

biomarkers.json Biomarker accuracy records (JSON) 126 KB · 95 rows

genetics.json Genetics records (JSON) 167 KB · 135 rows

prevention_trials.json Prevention trial records (JSON) 205 KB · 109 rows

caregiving_interventions.json Caregiver intervention trial records (JSON) 100 KB · 70 rows

caregiving_burden.json Caregiver burden statistics (JSON) 44 KB · 74 rows

imaging.json Imaging and diagnostic test records (JSON) 94 KB · 41 rows

economics.json Cost and cost-effectiveness records (JSON) 153 KB · 211 rows

policy.json Policy, legislation and funding records (JSON) 362 KB · 302 rows

care_settings.json Care-setting and workforce records (JSON) 1.1 MB · 1920 rows

digital_health.json Digital health tool records (JSON) 87 KB · 46 rows

disparities.json Disparities records (JSON) 75 KB · 75 rows

treatments.json Treatment records (JSON) 67 KB · 23 rows

risk_factors.json Modifiable risk factor records (JSON) 41 KB · 31 rows

datasets.json Catalogue of public source datasets (JSON) 16 KB · 18 rows

research.json Research summaries (JSON) 90.2 MB · 27380 rows

research_score.json Every study's score, component by component, with the wording behind each one (JSON) 124.8 MB · 7 rows

library_gaps.json What this library does and doesn't cover: source mix, identifier/author/year coverage, peer-review and preprint counts (JSON) 26 KB · 19 rows

score_charts.json The figures on /research/how-we-score, as data plus the SVG drawn from it (JSON) 143 KB · 19 rows

risk_charts.json The figures on /risk-factors and /life-course, as data plus the SVG drawn from it (JSON) 35 KB · 2 rows

news.json News items (JSON) 333 KB · 347 rows

stats.json Key facts shown on the home page (JSON) 20 KB · 48 rows

sources.md Index of every source URL the research pipeline opened 9 KB

panel_state_timeseries.csv State-year panel, 1999-2024: Alzheimer's deaths and age-adjusted death rate by US state (CDC WONDER / NCHS), the file behind /trends 96 KB · 1326 rows

panel_country_timeseries.csv Country-year panel: modelled dementia deaths and rates by country (IHME Global Burden of Disease via Our World in Data), the file behind /trends 164 KB · 3146 rows

county_dementia_outcomes.csv County-year dementia prevalence, incidence and mortality counts among Medicare beneficiaries, with suppression flags, the file behind /county 185 KB · 3207 rows

RESEARCH_LOG.md Research log: what was searched, found, and excluded 15 KB

US national time series

13 years

One row per year. Blank cells mean no sourced value for that year — we do not interpolate or carry a value forward to fill a gap.

timeseries_national.csv — prevalence, deaths, costs, caregivers and research funding by year.
year	alz prevalence 65plus pct	alz count 65plus	alz deaths total	alz deaths per 100k	total dementia care cost usd	medicare medicaid combined spend usd	medicaid spend total usd	unpaid caregivers count	unpaid caregiver hours millions	unpaid caregiver cost usd billions	research funding nih adrd usd	fda approved alz drugs cumulative	us population 65plus
1993	—	—	—	—	—	—	—	—	—	—	—	1	—
1996	—	—	—	—	—	—	—	—	—	—	—	2	—
2000	—	—	—	—	—	—	—	—	—	—	—	3	—
2001	—	—	—	—	—	—	—	—	—	—	—	4	—
2003	—	—	—	—	—	—	—	—	—	—	—	5	—
2010	—	—	—	—	—	—	—	—	—	—	—	5	40,300,000
2019	—	—	—	—	—	—	—	—	—	—	2,398,000,000	5	—
2020	—	—	—	—	—	—	—	—	—	—	2,869,000,000	5	55,800,000
2021	—	—	—	—	—	—	—	—	16,000	271.6	3,251,000,000	6	—
2022	—	6,500,000	120,122	36	—	—	—	—	18,000	339.5	3,514,000,000	6	—
2023	10.8	6,700,000	—	—	345,000,000,000	222,000,000,000	—	11,475,000	18,400	346.6	3,761,000,000	7	—
2024	—	6,900,000	—	—	360,000,000,000	—	—	—	—	—	3,859,000,000	8	—
2025	—	7,200,000	—	—	384,000,000,000	—	72,000,000,000	11,926,000	19,161	413.5	3,882,000,000	8	—

This table is wider than a phone screen — swipe it sideways to see the rest.

US Alzheimer's deaths by year

27 years

Death certificates, counted — not modelled. The age-adjusted rate is the one to compare across years, because it removes the effect of the population simply getting older.

National Alzheimer's and dementia deaths. Measured Source: CDC WONDER D76 Underlying Cause of Death 1999-2020 (API)
Year	Alzheimer's deaths	All dementia deaths	Crude rate per 100k	Age-adjusted rate per 100k
1999	44,536	74,386	15.96	16.47
2000	49,558	83,694	17.61	18.05
2001	53,852	92,514	18.9	19.29
2002	58,866	102,105	20.47	20.81
2003	63,457	110,569	21.87	22.06
2004	65,965	114,271	22.53	22.6
2005	71,599	129,573	24.23	23.99
2006	72,432	151,432	24.28	23.69
2007	74,632	156,042	24.78	23.84
2008	82,435	178,960	27.11	25.79
2009	79,003	177,523	25.75	24.17
2010	83,494	196,371	27.04	25.11
2011	84,974	212,876	27.27	24.73
2012	83,637	223,404	26.64	23.78
2013	84,767	234,242	26.81	23.52
2014	93,541	239,753	29.34	25.44
2015	110,561	245,926	34.4	29.43
2016	116,103	249,605	35.93	30.29
2017	121,404	261,914	37.27	31.04
2018	122,019	266,957	37.3	30.52
2019	121,499	271,872	37.02	29.85
2020	134,242	303,984	40.74	32.45
2021	119,399	279,704	35.98	30.96
2022	120,122	292,881	36.04	28.9
2023	114,034	286,865	34.05	27.75
2024	116,022	299,192	34.11	27.09
2025	116,854	—	34.36	27.26

This table is wider than a phone screen — swipe it sideways to see the rest.

Analysis-ready panels

3 panels

One row per state, county or country, with as many sourced columns as we could fill. We list the columns we could not fill as well, because a column of blanks in someone else's dataset is the kind of thing that quietly wrecks an analysis.

State panel

67 columns · 51 rows · 19 KB · 4 modelled · 3 not populated

Download panel_state.csv Column dictionary (JSON)

panel_state.csv — what each column holds and where it came from.
Column	What it is	Unit / year	Basis	Source
`state`	USPS 2-letter state abbreviation (50 states + DC) Identifier column, not a data value.	text	Not populated	N/A (identifier)
`state_name`	Full state name Identifier column, not a data value.	text	Not populated	N/A (identifier)
`alz_prevalence_65plus_pct`	Estimated percentage of the population age 65+ living with Alzheimer's dementia Modeled estimate based on 2020 age/sex/race population distributions, not a direct case count or registry; published in the 2025 F&F report.	percent 2020	Modelled estimate	Alzheimer's Association 2025 Alzheimer's Disease Facts and Figures, Table 5 (data from Dhana et al., state/county prevalence model)
`alz_count_65plus`	Estimated number of people age 65+ living with Alzheimer's dementia Report gives this in thousands (1 decimal); value here is that figure x1000, rounded to nearest integer. Same modeled-estimate caveat as alz_prevalence_65plus_pct.	count 2020	Modelled estimate	Alzheimer's Association 2025 Alzheimer's Disease Facts and Figures, Table 5
`alz_deaths_total`	Number of deaths with Alzheimer's disease as the underlying cause of death, by state 2022 is the most recent year with state-level mortality data available as of the 2025 report. US total for this column is 120,122 (rate 36.0/100k).	count 2022	Measured	Alzheimer's Association 2025 Facts and Figures, Table 6, citing National Center for Health Statistics death certificate data
`alz_deaths_per_100k`	Unadjusted (not age-adjusted) annual Alzheimer's death rate per 100,000 population Report explicitly presents UNADJUSTED rates (not age-adjusted) so that larger/older-population states aren't penalized in the comparison; do not treat as age-standardized.	rate per 100k 2022	Measured	Alzheimer's Association 2025 Facts and Figures, Table 6 (NCHS)
`alz_prevalence_rank`	State rank by alz_prevalence_65plus_pct, 1 = highest prevalence percentage Computed rank, not a value published in the source report. Ties broken by original table order.	rank (1=highest) 2020	Measured	Derived by this project from Table 5 percentages (not published directly by Alzheimer's Association)
`pop_total`	Total resident population July 1, 2024 estimate.	count 2024	Measured	U.S. Census Bureau, Population Estimates Program, Vintage 2024
`pop_65plus`	Population age 65 and older Not a single published Census count; combines 2024 population total with 2023 ACS age-share, so treat as an approximation, not an official Census 65+ count.	count 2023	Measured	Derived: 2024 Census population estimate x 2023 ACS pct_65plus share
`pct_65plus`	Percent of population age 65+	percent 2023	Measured	U.S. Census Bureau, ACS 2023 1-Year Estimates, Geographic Comparison Table GCT0103
`pct_85plus`	Percent of population age 85+	percent 2023	Measured	U.S. Census Bureau, ACS 2023 1-Year Estimates, GCT0104
`pct_female`	Percent of population female Used because Census's own ranking GCT series does not publish a female-share table directly.	percent 2024	Measured	KFF State Health Facts, Distribution by Gender (based on ACS 1-Year Estimates)
`pct_race_black`	Percent of population Black or African American alone	percent 2023	Measured	U.S. Census Bureau, ACS 2023 1-Year Estimates, GCT0202
`pct_race_hispanic`	Percent of population Hispanic or Latino (any race)	percent 2024	Measured	KFF State Health Facts, Distribution by Race/Ethnicity (ACS 1-Year Estimates)
`median_age`	Median age of population	years 2023	Measured	U.S. Census Bureau, ACS 2023 1-Year Estimates, GCT0101
`pct_veterans`	Percent of civilian population 18+ who are veterans	percent 2023	Measured	U.S. Census Bureau, ACS 2023 1-Year Estimates, GCT2101
`median_household_income`	Median household income Inflation-adjusted to 2023 dollars per Census convention.	usd 2023	Measured	U.S. Census Bureau, ACS 2023 1-Year Estimates, GCT1901
`pct_below_poverty`	Percent of population below the poverty line	percent 2023	Measured	U.S. Census Bureau, ACS 2023 1-Year Estimates, GCT1701
`pct_bachelors_plus`	Percent of population 25+ with a bachelor's degree or higher	percent 2023	Measured	U.S. Census Bureau, ACS 2023 1-Year Estimates, GCT1502
`unemployment_rate`	Unemployment rate August 2026 preliminary, seasonally adjusted figure -- a different (much more recent) vintage than the ACS-based columns; do not average years without accounting for this.	percent 2026	Measured	U.S. Bureau of Labor Statistics, Local Area Unemployment Statistics, ranked state table
`gini`	Gini index of income inequality (0=perfect equality, 1=perfect inequality) Oldest-vintage column in the panel (2019). A 2022/2023 Census B19083 pull requires an API key that was unavailable in this session; direct data.census.gov table B19083 should be re-pulled for a fresher value if precision matters.	index (0-1) 2019	Measured	Wikipedia 'List of U.S. states and territories by income inequality', citing Census ACS table B19083
`pct_diabetes`	Percent of adults with diagnosed diabetes Tennessee blank: TN did not submit sufficient 2024 BRFSS sample for KFF to report a value.	percent 2024	Measured	KFF State Health Facts, Adults with Diagnosed Diabetes (CDC BRFSS)
`pct_obesity`	Percent of adults with obesity (BMI 30+) Tennessee blank, same BRFSS reporting-threshold reason as pct_diabetes.	percent 2024	Measured	KFF State Health Facts, Adult Obesity (CDC BRFSS)
`pct_hypertension`	Percent of adults ever told by a doctor they have hypertension Kentucky and Pennsylvania blank: KFF states these two states did not meet minimum sample requirements for inclusion in the 2023 release.	percent 2023	Measured	KFF State Health Facts, Adults Told They Have Hypertension (CDC BRFSS)
`pct_smoking`	Percent of adults who currently smoke Tennessee blank (insufficient 2024 BRFSS sample).	percent 2024	Measured	KFF State Health Facts, Adult Smoking Rate (CDC BRFSS)
`pct_physical_inactivity`	Percent of adults with no leisure-time physical activity (proxy: 100 minus % reporting any physical activity) Calculated as 100 minus KFF's 'any physical activity in past month' measure -- a close but not identical proxy for BRFSS's classic 'no leisure-time physical activity' question. Tennessee blank.	percent 2024	Measured	Derived from KFF State Health Facts, Participation in Physical Activity (CDC BRFSS)
`pct_depression`	Percent of adults ever told they have a depressive disorder Tennessee value is 2023 (27.3%) because the 2024 BRFSS row for TN was marked unavailable nationally; all other states are 2024.	percent 2024	Measured	America's Health Rankings, Depression (CDC BRFSS)
`pct_hearing_loss`	Percent of adults with any hearing loss Oldest data-year in the risk-factor block (2014-2016 pooled); no newer full 51-state BRFSS hearing-loss table was locatable in this session.	percent 2016	Measured	CDC/NCHS, Any Hearing Loss by State, National Health Interview Survey 2014-2016 (Blackwell & Norris)
`pct_binge_drinking`	Percent of adults who binge/excessively drink AHR's 'excessive drinking' combines binge drinking (4+/5+ drinks/occasion) OR heavy weekly drinking, not pure binge-only prevalence. Tennessee blank (data unavailable on source page).	percent 2024	Measured	America's Health Rankings, Excessive Drinking (CDC BRFSS)
`pct_uninsured`	Percent of total population without health insurance ACS-based rather than BRFSS-based, so Tennessee is populated here even though it is blank in several BRFSS-sourced columns.	percent 2024	Measured	KFF State Health Facts, Health Insurance Coverage of the Total Population (ACS-based)
`primary_care_physicians_per_100k`	Primary care providers per 100,000 population Includes nurse practitioners and physician assistants alongside physicians, so this is broader than a 'physicians only' count.	rate per 100k 2025	Measured	America's Health Rankings, Primary Care Providers (CMS National Plan and Provider Enumeration System)
`neurologists_per_100k`	Neurologists per 100,000 population Based on AAN membership records, not a full practitioner census; likely a modest, roughly uniform undercount of true neurologist supply.	rate per 100k 2024	Measured	American Academy of Neurology, 2025 Member Demographics Report, Table 10b
`hospital_beds_per_1000`	Staffed hospital beds per 1,000 total population Covers staffed community hospital beds (~85% of all US hospitals report to the AHA Annual Survey).	rate per 1000 2024	Measured	KFF State Health Facts, Hospital Beds by Ownership Type (AHA Annual Survey)
`nursing_home_beds_per_1000`	Nursing home beds per 1,000 population age 65+ IMPORTANT: denominator is population 65+, not total population -- NOT directly comparable to hospital_beds_per_1000, which is per 1,000 TOTAL population.	rate per 1000 (65+ population) 2026	Measured	Becker's Hospital Review, States ranked by nursing home beds per capita (May 2026), using Census population + KFF CNF bed data
`pct_rural`	Percent of state population classified as rural 2023 ACS-based estimate, not the 2020 decennial Census urban/rural classification.	percent 2023	Measured	America's Health Rankings, Rural Population (Census ACS 1-Year)
`pm25_avg_ugm3`	Average annual fine particulate matter (PM2.5) concentration Reported as a 2022-2024 multi-year average by the source; year recorded as the midpoint (2023).	ug/m3 2023	Measured	America's Health Rankings, Air Pollution (source: EPA), 2022-2024 average
`pct_water_system_violations`	Percent of community water systems with health-based violations Left blank for all 51 states. EPA ECHO Drinking Water Dashboard and SDWIS state summaries are interactive/JS-driven and did not expose a scrapeable per-state violation-rate table; only a national aggregate (~4% of public water systems) was found. Populating this column requires a manual SDWIS state-by-state data pull.	percent	Not populated	Not sourced
`unpaid_caregivers_count`	Number of unpaid family/other caregivers of people with Alzheimer's or other dementias Report gives this in thousands; value here is that figure x1000. US total 11,926,000.	count 2024	Measured	Alzheimer's Association 2025 Facts and Figures, Table 10
`unpaid_caregiver_hours_millions`	Hours of unpaid care provided by family/other caregivers US total 19,161 million hours (~19.2 billion).	count (millions of hours) 2024	Measured	Alzheimer's Association 2025 Facts and Figures, Table 10
`unpaid_caregiver_value_usd`	Estimated economic value of unpaid caregiving Report gives this in millions of dollars; value here is that figure x1,000,000. Valued at a blend of state minimum wage and median home-health-aide hourly cost (a conservative estimate per the report's own methodology note). US total $413,454 million (~$413.5 billion).	usd 2024	Measured	Alzheimer's Association 2025 Facts and Figures, Table 10
`medicaid_dementia_spend_total_usd`	Total projected state Medicaid spending on people with Alzheimer's or other dementias Report gives this in millions of dollars; value here is that figure x1,000,000. This is a projection for 2025, expressed in 2024 dollars, produced by the Lewin Group's actuarial model, not raw CMS claims.	usd 2025	Modelled estimate	Alzheimer's Association 2025 Facts and Figures, Table 22 (Lewin Model estimate, in 2024 dollars)
`medicaid_ltss_spend_per_capita`	Medicaid dementia spending per capita (total state population) Computed value, not published directly. Numerator is 2025-projected dementia-specific Medicaid spend (Table 22); denominator is 2024 total population (Census), so there is a 1-year vintage mismatch between numerator and denominator. Also note this is total dementia-related Medicaid spend, not specifically LTSS/long-term-services-and-supports spend, which was not separately available by state.	usd per capita 2025	Modelled estimate	Derived by this project: medicaid_dementia_spend_total_usd / pop_total
`alz_state_plan`	Whether the state has a published state Alzheimer's/dementia plan (1=yes, 0=no) Source states that every state, DC, and Puerto Rico has published a plan since 2007; all 51 rows are therefore 1. Plan VINTAGE varies widely by state (some updated 2020-2024, some older) -- presence of a plan does not imply currency.	count (binary 0/1) 2024	Measured	Alzheimer's Impact Movement, State Alzheimer's Disease Plans
`dementia_care_workforce_requirement`	Whether the state has a dementia-specific training mandate for direct care workers/facility staff (1=yes, 0=no) 26 of 51 rows are BLANK, not 0: a secondary aggregate source (PMC11690893) states 43 states have SOME dementia training requirement, meaning several blank rows here likely should be 1, but the individual per-state confirming PDFs (at act.alz.org and justiceinaging.org) were not opened one-by-one to verify which. Treat the 25 rows marked 1 as confirmed; treat blanks as 'unconfirmed', not 'no'.	count (binary 0/1) 2024	Measured	NCCDP state-by-state dementia training breakdown; DC Municipal Code; PMC11690893 (aggregate 43-state stat); Justice in Aging 50-state survey
`geriatricians_count`	Number of board-certified geriatricians practicing in the state (bonus column, not in required spec) 2021 is the most recent year available in the source report; included as a bonus workforce-supply column alongside primary_care_physicians_per_100k and neurologists_per_100k.	count 2021	Measured	Alzheimer's Association 2025 Facts and Figures, Table 14, citing American Geriatrics Society
`medicare_percapita_ffs_payment_usd`	Per capita traditional Medicare fee-for-service payments for all Medicare beneficiaries with Alzheimer's/dementia (bonus column, not in required spec) 'All Medicare' column from Table 19 (blends Medicare-only and dual-eligible beneficiaries); bonus column included alongside medicaid_dementia_spend_total_usd to give a Medicare-side cost comparison, not part of the originally requested column list.	usd per capita 2022	Measured	Alzheimer's Association 2025 Facts and Figures, Table 19, citing CMS
`cms_nh_certified_beds_total`	Total CMS-certified nursing home beds in the state Direct sum of the county-level cms_nh_certified_beds_total/n_facilities columns by state; cms_nh_beds_per_1000_pop is recomputed as beds_sum / panel_state.csv's own population total * 1000 (not a sum of the per-1000 county rates). Connecticut is blank here: zero CMS nursing-home rows exist for CT under any FIPS scheme (county or planning region), a genuine absence in the CMS source, not a join gap -- see the cms_nh_* entries in panel_county_meta.json and data/dataset_expansion.json 'KNOWN LIMITATION' entry.	count 2026	Measured	CMS Care Compare, Nursing Home Provider Info
`cms_nh_n_facilities`	Number of CMS-certified nursing home facilities in the state Direct sum of the county-level cms_nh_certified_beds_total/n_facilities columns by state; cms_nh_beds_per_1000_pop is recomputed as beds_sum / panel_state.csv's own population total * 1000 (not a sum of the per-1000 county rates). Connecticut is blank here: zero CMS nursing-home rows exist for CT under any FIPS scheme (county or planning region), a genuine absence in the CMS source, not a join gap -- see the cms_nh_* entries in panel_county_meta.json and data/dataset_expansion.json 'KNOWN LIMITATION' entry.	count 2026	Measured	CMS Care Compare, Nursing Home Provider Info
`cms_nh_beds_per_1000_pop`	CMS-certified nursing home beds per 1,000 population (beds divided by panel_state.csv's own population column) Direct sum of the county-level cms_nh_certified_beds_total/n_facilities columns by state; cms_nh_beds_per_1000_pop is recomputed as beds_sum / panel_state.csv's own population total * 1000 (not a sum of the per-1000 county rates). Connecticut is blank here: zero CMS nursing-home rows exist for CT under any FIPS scheme (county or planning region), a genuine absence in the CMS source, not a join gap -- see the cms_nh_* entries in panel_county_meta.json and data/dataset_expansion.json 'KNOWN LIMITATION' entry.	beds per 1,000 population 2026	Measured	CMS Care Compare, Nursing Home Provider Info
`cms_ma_total_medicare_beneficiaries`	Total Medicare beneficiaries (Original Medicare + Medicare Advantage), state total, June 2026 CMS Medicare Monthly Enrollment, June 2026. Computed directly from the source file (not from the county-joined panel), grouped by the 2-digit state FIPS prefix of county_fips -- this recovers real Connecticut figures without needing a county-level crosswalk (state prefix '09' is unambiguous under either the legacy-county or post-2022-planning-region scheme). 78 source rows nationally had a CMS-suppressed beneficiary cell and were excluded from these sums, so states with small-county suppression have a floor value, not a complete count.	count (beneficiaries) 2026	Measured	CMS Medicare Monthly Enrollment
`cms_ma_advantage_beneficiaries`	Medicare Advantage and other plan beneficiaries, state total, June 2026 CMS Medicare Monthly Enrollment, June 2026. Computed directly from the source file (not from the county-joined panel), grouped by the 2-digit state FIPS prefix of county_fips -- this recovers real Connecticut figures without needing a county-level crosswalk (state prefix '09' is unambiguous under either the legacy-county or post-2022-planning-region scheme). 78 source rows nationally had a CMS-suppressed beneficiary cell and were excluded from these sums, so states with small-county suppression have a floor value, not a complete count.	count (beneficiaries) 2026	Measured	CMS Medicare Monthly Enrollment
`medicare_advantage_penetration_pct`	Medicare Advantage enrollment as a percent of total Medicare beneficiaries, June 2026 (= advantage_beneficiaries / total_medicare_beneficiaries * 100, from CMS's own published counts) CMS Medicare Monthly Enrollment, June 2026. Computed directly from the source file (not from the county-joined panel), grouped by the 2-digit state FIPS prefix of county_fips -- this recovers real Connecticut figures without needing a county-level crosswalk (state prefix '09' is unambiguous under either the legacy-county or post-2022-planning-region scheme). 78 source rows nationally had a CMS-suppressed beneficiary cell and were excluded from these sums, so states with small-county suppression have a floor value, not a complete count.	percent (0-100) 2026	Measured	CMS Medicare Monthly Enrollment
`naics62_health_socasst_estabs`	Number of health care and social assistance establishments (NAICS 62, broad sector), 2024 annual average BLS Quarterly Census of Employment and Wages (QCEW), county health-sector employment, 2024 annual averages. Computed directly from the source file (not from the county-joined panel), grouped by the 2-digit state FIPS prefix of county_fips -- this recovers real Connecticut figures without needing a county-level crosswalk. Counties BLS itself suppresses are excluded from their state's sum, so states containing a suppressed county have a floor value, not a complete count.	count 2024	Measured	BLS Quarterly Census of Employment and Wages (QCEW), county health-sector employment
`naics62_health_socasst_emplvl_annual_avg`	Average annual employment level at health care and social assistance establishments (NAICS 62), 2024 BLS Quarterly Census of Employment and Wages (QCEW), county health-sector employment, 2024 annual averages. Computed directly from the source file (not from the county-joined panel), grouped by the 2-digit state FIPS prefix of county_fips -- this recovers real Connecticut figures without needing a county-level crosswalk. Counties BLS itself suppresses are excluded from their state's sum, so states containing a suppressed county have a floor value, not a complete count.	count 2024	Measured	BLS Quarterly Census of Employment and Wages (QCEW), county health-sector employment
`naics62_health_socasst_total_annual_wages`	Total annual wages paid by health care and social assistance establishments (NAICS 62), 2024, US dollars BLS Quarterly Census of Employment and Wages (QCEW), county health-sector employment, 2024 annual averages. Computed directly from the source file (not from the county-joined panel), grouped by the 2-digit state FIPS prefix of county_fips -- this recovers real Connecticut figures without needing a county-level crosswalk. Counties BLS itself suppresses are excluded from their state's sum, so states containing a suppressed county have a floor value, not a complete count.	US dollars 2024	Measured	BLS Quarterly Census of Employment and Wages (QCEW), county health-sector employment
`naics62_health_socasst_avg_annual_pay_usd`	Average annual pay per employee, health care and social assistance establishments (NAICS 62), 2024, US dollars BLS Quarterly Census of Employment and Wages (QCEW), county health-sector employment, 2024 annual averages. Computed directly from the source file (not from the county-joined panel), grouped by the 2-digit state FIPS prefix of county_fips -- this recovers real Connecticut figures without needing a county-level crosswalk. Counties BLS itself suppresses are excluded from their state's sum, so states containing a suppressed county have a floor value, not a complete count.	US dollars 2024	Measured	BLS Quarterly Census of Employment and Wages (QCEW), county health-sector employment
`naics62_any_ownership_cell_suppressed`	'Y' if at least one of the 4 ownership-sector cells (Federal/State/Local government, Private) summed into the NAICS 62 state total was BLS-suppressed for confidentiality; blank otherwise BLS Quarterly Census of Employment and Wages (QCEW), county health-sector employment, 2024 annual averages. Computed directly from the source file (not from the county-joined panel), grouped by the 2-digit state FIPS prefix of county_fips -- this recovers real Connecticut figures without needing a county-level crosswalk. Counties BLS itself suppresses are excluded from their state's sum, so states containing a suppressed county have a floor value, not a complete count.	flag ('Y' or blank) 2024	Measured	BLS Quarterly Census of Employment and Wages (QCEW), county health-sector employment
`naics623_nursing_residential_care_estabs`	Number of nursing and residential care facility establishments (NAICS 623, a subsector of 62), 2024 annual average BLS Quarterly Census of Employment and Wages (QCEW), county health-sector employment, 2024 annual averages. Computed directly from the source file (not from the county-joined panel), grouped by the 2-digit state FIPS prefix of county_fips -- this recovers real Connecticut figures without needing a county-level crosswalk. Counties BLS itself suppresses are excluded from their state's sum, so states containing a suppressed county have a floor value, not a complete count.	count 2024	Measured	BLS Quarterly Census of Employment and Wages (QCEW), county health-sector employment
`naics623_nursing_residential_care_emplvl_annual_avg`	Average annual employment level at nursing and residential care facilities (NAICS 623), 2024 BLS Quarterly Census of Employment and Wages (QCEW), county health-sector employment, 2024 annual averages. Computed directly from the source file (not from the county-joined panel), grouped by the 2-digit state FIPS prefix of county_fips -- this recovers real Connecticut figures without needing a county-level crosswalk. Counties BLS itself suppresses are excluded from their state's sum, so states containing a suppressed county have a floor value, not a complete count.	count 2024	Measured	BLS Quarterly Census of Employment and Wages (QCEW), county health-sector employment
`naics623_total_annual_wages`	Total annual wages paid by nursing and residential care facilities (NAICS 623), 2024, US dollars BLS Quarterly Census of Employment and Wages (QCEW), county health-sector employment, 2024 annual averages. Computed directly from the source file (not from the county-joined panel), grouped by the 2-digit state FIPS prefix of county_fips -- this recovers real Connecticut figures without needing a county-level crosswalk. Counties BLS itself suppresses are excluded from their state's sum, so states containing a suppressed county have a floor value, not a complete count.	US dollars 2024	Measured	BLS Quarterly Census of Employment and Wages (QCEW), county health-sector employment
`naics623_avg_annual_pay_usd`	Average annual pay per employee, nursing and residential care facilities (NAICS 623), 2024, US dollars BLS Quarterly Census of Employment and Wages (QCEW), county health-sector employment, 2024 annual averages. Computed directly from the source file (not from the county-joined panel), grouped by the 2-digit state FIPS prefix of county_fips -- this recovers real Connecticut figures without needing a county-level crosswalk. Counties BLS itself suppresses are excluded from their state's sum, so states containing a suppressed county have a floor value, not a complete count.	US dollars 2024	Measured	BLS Quarterly Census of Employment and Wages (QCEW), county health-sector employment
`naics623_any_ownership_cell_suppressed`	'Y' if at least one of the 4 ownership-sector cells summed into the NAICS 623 state total was BLS-suppressed for confidentiality; blank otherwise BLS Quarterly Census of Employment and Wages (QCEW), county health-sector employment, 2024 annual averages. Computed directly from the source file (not from the county-joined panel), grouped by the 2-digit state FIPS prefix of county_fips -- this recovers real Connecticut figures without needing a county-level crosswalk. Counties BLS itself suppresses are excluded from their state's sum, so states containing a suppressed county have a floor value, not a complete count.	flag ('Y' or blank) 2024	Measured	BLS Quarterly Census of Employment and Wages (QCEW), county health-sector employment
`medicaid_total_managed_care_enrollees_2024`	Total Medicaid managed-care enrollees, any program type, 2024 51/51 states+DC matched by full state name to panel_state.csv's 2-letter code. Alaska has no 2024 value in the source file itself (reported as '--', left blank here, not zero).	count 2024	Measured	CMS Medicaid Managed Care Enrollment Report, Table 6 (data.medicaid.gov)
`medicaid_comprehensive_mltss_enrollees_2024`	Medicaid enrollees in Comprehensive Managed Care programs that include LTSS, 2024 Measures managed-LTSS enrollment (utilization/program design), not dollars spent or per-resident cost. A unified state-by-state Medicaid nursing-facility per-diem reimbursement-rate file does not exist in the open Medicaid.gov catalogue (checked, not fabricated) -- each state publishes its own rate schedule independently.	count 2024	Measured	CMS Medicaid Managed Care Enrollment Report, Table 6 (data.medicaid.gov)
`medicaid_comprehensive_mltss_pct_2024`	medicaid_comprehensive_mltss_enrollees_2024 as a percent of medicaid_total_managed_care_enrollees_2024 As published by CMS, not recomputed here.	percent 2024	Measured	CMS Medicaid Managed Care Enrollment Report, Table 6 (data.medicaid.gov)
`medicaid_ltss_only_enrollees_2024`	Medicaid enrollees in Managed LTSS-Only programs (LTSS carved out from other managed care), 2024 Many states report '--' (not applicable, no LTSS-only program) -- left blank, not zero.	count 2024	Measured	CMS Medicaid Managed Care Enrollment Report, Table 6 (data.medicaid.gov)
`medicaid_ltss_only_pct_2024`	medicaid_ltss_only_enrollees_2024 as a percent of medicaid_total_managed_care_enrollees_2024 As published by CMS, not recomputed here.	percent 2024	Measured	CMS Medicaid Managed Care Enrollment Report, Table 6 (data.medicaid.gov)

This table is wider than a phone screen — swipe it sideways to see the rest.

County panel

143 columns · 3143 rows · 2.5 MB · 30 modelled · 8 not populated

Download panel_county.csv Column dictionary (JSON)

panel_county.csv — what each column holds and where it came from.
Column	What it is	Unit / year	Basis	Source
`fips`	5-digit county FIPS code (2-digit state + 3-digit county), zero-padded string Join key for all rows. Sourced from the CHR file's '5-digit FIPS Code' column; spot-checked against known FIPS for LA County (06037), Manhattan/New York County (36061), Harris County TX (48201).	code 2024 geography vintage	Measured	US Census Bureau / County Health Rankings
`county`	County (or county-equivalent) name	text 2024	Measured	County Health Rankings & Roadmaps (Univ. of Wisconsin Population Health Institute), 2024 release
`state`	2-letter USPS state abbreviation	text 2024	Measured	County Health Rankings & Roadmaps (Univ. of Wisconsin Population Health Institute), 2024 release
`state_name`	Full state name	text 2024	Measured	Derived (static FIPS/USPS state name lookup)
`county_type_metro`	1 = metro county, 0 = nonmetro county Derived from USDA Rural-Urban Continuum Code (RUCC) 2023: codes 1-3 = metro -> 1; codes 4-9 = nonmetro -> 0. Blank for 8 counties where RUCC 2023 has no matching FIPS (Connecticut legacy county codes, retired -- see README).	binary (1/0) 2023	Measured	USDA Economic Research Service, Rural-Urban Continuum Codes 2023
`population`	Total county population Two different source vintages are blended: PLACES population (Census 2023 vintage) where available, else CHR population estimate (vintage varies, generally 2021-2022). Not itself a PLACES model estimate -- it is CDC's pass-through of the Census county population estimate.	count (persons) 2023 (PLACES) / see caveat	Modelled estimate	CDC PLACES 2025 release TotalPopulation field (Census Bureau 2023 county population estimate), with County Health Rankings 2024 'Population raw value' used as fallback for the handful of counties absent from PLACES
`alz_prevalence_pct_65plus`	Alzheimer's/dementia diagnosed prevalence, % of population 65+ This column is intentionally empty for every row -- NOT SOURCED. Re-investigated 2026-09-27 (see data/county_outcomes_README.md for the full trail): CMS's Mapping Medicare Disparities (MMD) Tool still only exposes this through an interactive web map with per-query CSV export, confirmed to be a client-rendered SPA with no discoverable bulk API; CMS's older county-level Chronic Conditions Excel files (2007-2018, which included Alzheimer's) have since been retired by CMS in favor of the MMD Tool. CDC's Alzheimer's Disease and Healthy Aging Data Portal is confirmed state/national-only (fetched directly). A real peer-reviewed county estimate exists (Dhana et al. 2023, Alzheimer's & Dementia 19:4388-4395), but the per-county numbers are behind a paywall with no public data table found -- using the map image or press-release examples to fill other counties would be fabrication, so it was not used. Do not fill this column with a proxy (e.g. PLACES COGNITION, which measures self-reported cognitive difficulty in the general adult population, not diagnosed Alzheimer's/dementia in the 65+ population) without clearly relabeling it.	percent (0-100)	Not populated	NOT SOURCED
`alz_count_estimate`	Estimated count of county residents with Alzheimer's/dementia This column is intentionally empty for every row -- NOT SOURCED. Re-investigated 2026-09-27 (see data/county_outcomes_README.md for the full trail): CMS's Mapping Medicare Disparities (MMD) Tool still only exposes this through an interactive web map with per-query CSV export, confirmed to be a client-rendered SPA with no discoverable bulk API; CMS's older county-level Chronic Conditions Excel files (2007-2018, which included Alzheimer's) have since been retired by CMS in favor of the MMD Tool. CDC's Alzheimer's Disease and Healthy Aging Data Portal is confirmed state/national-only (fetched directly). A real peer-reviewed county estimate exists (Dhana et al. 2023, Alzheimer's & Dementia 19:4388-4395), but the per-county numbers are behind a paywall with no public data table found -- using the map image or press-release examples to fill other counties would be fabrication, so it was not used. Do not fill this column with a proxy (e.g. PLACES COGNITION, which measures self-reported cognitive difficulty in the general adult population, not diagnosed Alzheimer's/dementia in the 65+ population) without clearly relabeling it.	count (persons)	Not populated	NOT SOURCED
`dementia_mortality_per_100k`	Age-adjusted death rate, all dementia (ICD-10 F01,F03,G30), per 100,000 population This column is intentionally empty for every row -- NOT SOURCED. Re-confirmed 2026-09-27 (see data/county_outcomes_README.md), for two independent reasons: (1) CDC WONDER's own API documentation (wonder.cdc.gov/wonder/help/wonder-api.html) states outright that 'only national data are available for query by the API. Queries for mortality and births statistics from the National Vital Statistics System cannot limit or group results by any location field, such as Region, Division, State or County' -- this is a stated policy, not a fixable parameter mistake. (2) Independently, a live GET and a live hand-built XML POST to https://wonder.cdc.gov/controller/datarequest/D76 today both returned HTTP 403 Akamai 'Access Denied' pages, so even the interactive UI is unreachable by automation. The interactive WONDER web UI does expose county-level mortality (subject to CDC's own <10-death suppression), but only to a human in a browser. A future job with real-browser access to wonder.cdc.gov's UI (or a CDC data-use agreement / NCHS Research Data Center application for a restricted-use county mortality file) could source this manually per county.	rate per 100,000	Not populated	NOT SOURCED
`dementia_deaths_total`	Total deaths with underlying cause = dementia This column is intentionally empty for every row -- NOT SOURCED. Re-confirmed 2026-09-27 (see data/county_outcomes_README.md), for two independent reasons: (1) CDC WONDER's own API documentation (wonder.cdc.gov/wonder/help/wonder-api.html) states outright that 'only national data are available for query by the API. Queries for mortality and births statistics from the National Vital Statistics System cannot limit or group results by any location field, such as Region, Division, State or County' -- this is a stated policy, not a fixable parameter mistake. (2) Independently, a live GET and a live hand-built XML POST to https://wonder.cdc.gov/controller/datarequest/D76 today both returned HTTP 403 Akamai 'Access Denied' pages, so even the interactive UI is unreachable by automation. The interactive WONDER web UI does expose county-level mortality (subject to CDC's own <10-death suppression), but only to a human in a browser. A future job with real-browser access to wonder.cdc.gov's UI (or a CDC data-use agreement / NCHS Research Data Center application for a restricted-use county mortality file) could source this manually per county.	count (deaths)	Not populated	NOT SOURCED
`alz_deaths_total`	Total deaths with underlying cause = Alzheimer's disease (ICD-10 G30) This column is intentionally empty for every row -- NOT SOURCED. Re-confirmed 2026-09-27 (see data/county_outcomes_README.md), for two independent reasons: (1) CDC WONDER's own API documentation (wonder.cdc.gov/wonder/help/wonder-api.html) states outright that 'only national data are available for query by the API. Queries for mortality and births statistics from the National Vital Statistics System cannot limit or group results by any location field, such as Region, Division, State or County' -- this is a stated policy, not a fixable parameter mistake. (2) Independently, a live GET and a live hand-built XML POST to https://wonder.cdc.gov/controller/datarequest/D76 today both returned HTTP 403 Akamai 'Access Denied' pages, so even the interactive UI is unreachable by automation. The interactive WONDER web UI does expose county-level mortality (subject to CDC's own <10-death suppression), but only to a human in a browser. A future job with real-browser access to wonder.cdc.gov's UI (or a CDC data-use agreement / NCHS Research Data Center application for a restricted-use county mortality file) could source this manually per county.	count (deaths)	Not populated	NOT SOURCED
`pct_65plus`	Percent of population age 65 and older CHR pass-through of ACS 5-year data; not independently re-pulled from ACS 2020-2024 for consistency with other CHR-sourced demographic shares (pct_female fallback) in this file.	percent (0-100) ~2018-2022 (ACS vintage embedded in CHR 2024)	Measured	County Health Rankings & Roadmaps (Univ. of Wisconsin Population Health Institute), 2024 release
`pct_85plus`	Percent of population age 85 and older ACS 5-year estimates are themselves modelled/smoothed over a 5-year rolling window (2020-2024), not a single-year census count; small counties carry wide margins of error not included in this file. Connecticut's 8 legacy counties (FIPS 09001-09015) have no data here because the Census Bureau retired those FIPS codes in favor of 9 new Connecticut planning regions for the 2020-2024 vintage -- see README. Computed as (male 85+ + female 85+) / total population from table B01001.	percent (0-100) 2020-2024	Modelled estimate	US Census Bureau, American Community Survey 5-Year Estimates 2020-2024 (detailed tables), retrieved via the Census Reporter API (a non-key-gated public proxy of the official Census Bureau ACS API)
`pct_female`	Percent of population that is female ACS 5-year estimates are themselves modelled/smoothed over a 5-year rolling window (2020-2024), not a single-year census count; small counties carry wide margins of error not included in this file. Connecticut's 8 legacy counties (FIPS 09001-09015) have no data here because the Census Bureau retired those FIPS codes in favor of 9 new Connecticut planning regions for the 2020-2024 vintage -- see README. From table B01001; CHR '% Female raw value' used as fallback for the 8 Connecticut counties absent from the ACS pull.	percent (0-100) 2020-2024 (ACS) or CHR vintage for the 8 CT counties missing ACS	Modelled estimate	US Census Bureau, American Community Survey 5-Year Estimates 2020-2024 (detailed tables), retrieved via the Census Reporter API (a non-key-gated public proxy of the official Census Bureau ACS API)
`pct_white_nh`	Percent of population that is White alone, Not Hispanic or Latino ACS 5-year estimates are themselves modelled/smoothed over a 5-year rolling window (2020-2024), not a single-year census count; small counties carry wide margins of error not included in this file. Connecticut's 8 legacy counties (FIPS 09001-09015) have no data here because the Census Bureau retired those FIPS codes in favor of 9 new Connecticut planning regions for the 2020-2024 vintage -- see README. From table B03002.	percent (0-100) 2020-2024	Modelled estimate	US Census Bureau, American Community Survey 5-Year Estimates 2020-2024 (detailed tables), retrieved via the Census Reporter API (a non-key-gated public proxy of the official Census Bureau ACS API)

Show all 143 columns (15 shown so far)

This table is wider than a phone screen — swipe it sideways to see the rest.

Country panel

48 columns · 217 rows · 62 KB · 14 modelled · 5 not populated

Download panel_country.csv Column dictionary (JSON)

{'structure': "One entry per panel_country.csv column. 'year' gives the year of the value actually recorded in this file — for indicators where we took the latest available year per country, this is a range (countries differ in which year is most recent).", 'general_caveat': "All values are 'latest available' per country as of the data pull (2026-09-21), not a single fixed reference year, unless noted otherwise. Blank cells mean the source had no value for that country — never a true zero.", 'join_key': 'iso3 (ISO 3166-1 alpha-3), sourced from the World Bank country master list.'}

panel_country.csv — what each column holds and where it came from.
Column	What it is	Unit / year	Basis	Source
`iso3`	ISO 3166-1 alpha-3 country/territory code Join key. 217 economies as classified by the World Bank (excludes WB's regional/income aggregates like 'World' or 'OECD members'). Includes some small territories (e.g. ABW, BMU) that IHME/WHO burden sources do not separately estimate, so burden columns will be blank for those rows.	code n/a	Measured	World Bank Country API
`country_name`	Country or territory name World Bank's short name; may differ from WHO's preferred name (e.g. 'Korea, Rep.' vs 'Republic of Korea').	text n/a	Measured	World Bank Country API
`region`	World Bank region grouping World Bank regions, not WHO regions (task allowed either). WB regions are geographic/operational, e.g. 'Europe & Central Asia' spans EU and Central Asian states together.	category n/a	Measured	World Bank Country API
`income_group`	World Bank income classification (fiscal-year 2026 vintage) Reclassified annually by the World Bank; a country's group can shift year to year independent of the other economic columns' reference years.	category: high/upper-middle/lower-middle/low 2026 classification (based mostly on 2024 GNI per capita)	Measured	World Bank Country API
`dementia_prevalence_pct`	Estimated share of population living with dementia Left empty for all countries. The only country-level source is IHME's Global Burden of Disease (GBD); the GBD Results Tool requires a login and interactive query (no anonymous bulk API), and the one mirror that republishes GBD country data (Our World in Data) explicitly blocks CSV download of this series ('non-redistributable data'). Rather than transcribe numbers from chart tooltips/PDFs (risk of transcription error / hallucination), this column was left blank. See report for what was tried.	% of population n/a	Not populated	NOT POPULATED
`dementia_prevalence_count`	Estimated number of people living with dementia Same reason as dementia_prevalence_pct — GBD-only, not obtainable without a licensed/authenticated query.	count (persons) n/a	Not populated	NOT POPULATED
`dementia_deaths_total`	Estimated total deaths from Alzheimer's disease and other dementias, both sexes, all ages GHE cause-of-death estimates are themselves modelled (redistributing ill-defined/garbage-coded deaths across causes using WHO's cause-of-death ensemble models), not raw vital registration counts, especially for countries with weak civil registration systems. Values are WHO's own modelled estimates (GHE), distinct from and generally close to but not identical to IHME/GBD's dementia mortality estimates.	count (deaths/year) latest per country, 2000-2021 (most countries: 2021)	Modelled estimate	WHO Global Health Estimates (GHE) 2021 update, via Our World in Data indicator export
`dementia_deaths_per_100k_age_std`	Death rate from Alzheimer's disease and other dementias, both sexes IMPORTANT: despite the column name (kept for schema consistency with the task spec), this is WHO GHE's crude, all-ages death rate ('age_group_allages' in the source's own variable short-name), NOT age-standardized. It is therefore NOT safe to compare directly across countries with very different age structures without also controlling for pct_65plus/median_age in your regression — an older country will show a mechanically higher crude dementia death rate even with identical age-specific risk. True age-standardized GBD dementia mortality exists but sits behind the same IHME access wall described above.	deaths per 100,000 population latest per country, 2000-2021 (most countries: 2021)	Modelled estimate	WHO Global Health Estimates (GHE) 2021 update, via Our World in Data indicator export
`dementia_daly_per_100k`	Disability-adjusted life years (DALYs) from Alzheimer's disease and other dementias, both sexes, all ages Modelled estimate (see dementia_deaths_total caveat). Crude/all-ages, not age-standardized. DALYs = years of life lost to premature death (YLL) + years lived with disability (YLD); for dementia the YLD component dominates and rests on modelled disease-severity distributions, adding another layer of estimation uncertainty beyond the mortality data alone.	DALYs per 100,000 population latest per country, 2000-2021 (most countries: 2021)	Modelled estimate	WHO Global Health Estimates (GHE) 2021 update, via Our World in Data indicator export
`dementia_incidence_per_100k`	New dementia cases per 100,000 population per year GBD-only metric, same access restriction as prevalence. WHO GHE does not publish incidence (only mortality/DALY/YLL/YLD).	cases per 100,000/year n/a	Not populated	NOT POPULATED
`population_total`	Total population, all ages Midyear estimates; WB's most recent year is typically a projection carried from UN WPP revisions.	count (persons) latest per country, mostly 2025	Modelled estimate	World Bank (UN World Population Prospects-derived)
`population_65plus`	Population aged 65 and above, total Same vintage/estimation basis as population_total.	count (persons) latest per country, mostly 2025	Measured	World Bank
`pct_65plus`	Population aged 65+ as % of total population Directly derivable from population_65plus / population_total; included pre-computed as provided by WB.	% of total population latest per country, mostly 2025	Measured	World Bank
`pct_urban`	Urban population as % of total population National definitions of 'urban' vary by country and are not harmonized by WB.	% latest per country, mostly 2025	Measured	World Bank
`life_expectancy`	Life expectancy at birth, total population None material.	years latest per country, mostly 2024	Measured	World Bank

Show all 48 columns (15 shown so far)

This table is wider than a phone screen — swipe it sideways to see the rest.

Public datasets we drew on

18 sources

These are other people's datasets, not ours. Listed so you can go to the original rather than trusting our copy of it.

CDC BRFSS

open download

CDC / National Center for Chronic Disease Prevention and Health Promotion

Annual telephone survey of health-related risk behaviors, chronic conditions (including a cognitive decline/caregiver module), and preventive service use.

Geography: National, state, and (via SMART) select city/county
Years: 1984-present (cognitive decline module varies by state/year)

Why we used it: State-level cognitive-decline and caregiver-burden self-report data, and the underlying source for most of the pct_diabetes/obesity/smoking/etc columns in panel_state.csv.

Verified live 2026-09-21; annual microdata files plus GIS/analysis tools; also indexed on HealthData.gov.

cdc.gov

CDC WONDER

open download

CDC / NCHS

Ad-hoc mortality query system; underlying/multiple cause-of-death counts and rates by ICD-10 code (G30 = Alzheimer's), year, age, sex, race, state, county.

Geography: National, state, county
Years: 1968-present (detailed cause-of-death 1999-present)

Why we used it: The authoritative source for filling the mortality gaps left blank in timeseries_national.csv, and for cross-checking the Facts & Figures state mortality table.

Verified live 2026-09-21. Query interface is form-based/interactive; cannot be scraped via a simple GET request -- would need a scripted form submission to build a continuous year-by-year mortality series.

wonder.cdc.gov

NHANES

open download

CDC / NCHS

Combined interview and physical exam survey with labs, biospecimens, and (in later cycles) cognitive testing modules.

Geography: National only (not state-representative)
Years: 1960s (initial cycles), continuous since 1999; most recent public releases through 2021-2023

Why we used it: Biomarker/lab and cognitive-screen data for national-level covariates (e.g., cardiometabolic risk factors) against national AD trends.

Verified live 2026-09-21.

cdc.gov

NHATS (National Health and Aging Trends Study)

registration

Johns Hopkins Bloomberg School of Public Health, funded by NIA

Annual in-person interviews of Medicare beneficiaries 65+ on disability, cognitive impairment, dementia status, and late-life trajectories, linkable to Medicare claims.

Geography: Nationally representative sample (respondent-level, not state-representative)
Years: 2011-present (annual rounds)

Why we used it: Individual-level dementia/disability trajectories linkable to Medicare claims -- strong for cost/utilization correlation work.

Verified live 2026-09-21. Free registration + data-use terms required for public-use files; more sensitive/restricted files require a separate application.

nhats.org

ADNI (Alzheimer's Disease Neuroimaging Initiative)

restricted application

Multi-site consortium, coordinated via LONI/USC, funded by NIA

Longitudinal MRI/PET imaging, biomarkers (CSF, blood, genetics), and clinical/cognitive data from ~2,500+ participants across the AD spectrum.

Geography: Site-level, US and Canada (~60 sites), not population-representative
Years: 2004-present (ADNI 1/GO/2/3/4 phases)

Why we used it: Gold-standard imaging/biomarker cohort for validating disease-stage definitions used to interpret national prevalence estimates.

Verified live 2026-09-21. Requires creating an LONI/IDA account, agreeing to the ADNI Data Use Agreement, and (for biospecimens) a separate formal application/review -- genuinely gated, not open download.

adni.loni.usc.edu

NACC (National Alzheimer's Coordinating Center)

registration

University of Washington, funded by NIA, aggregating NIA-funded Alzheimer's Disease Research Centers (ADRCs)

Centralized clinical, neuropathology, imaging, and biomarker data pooled from 37+ active ADRCs (56,000+ participants, 217,000+ clinical visits).

Geography: Multi-site (25 states with active ADRCs), not population-representative
Years: ~1984-present (UDS harmonized data primarily 2005-present)

Why we used it: Clinically-adjudicated dementia diagnoses across research centers -- useful to sanity-check self-report/administrative prevalence estimates.

Verified live 2026-09-21 via https://www.naccdata.org/data-request-process: submit a brief project request, sign an electronic Data Use Agreement (DUA), then receive a download link within ~3 business days -- a real gate but lighter-weight than ADNI's, not simply 'open download.'

naccdata.org

CMS ResDAC (Medicare/Medicaid claims research data)

restricted application

CMS, technical assistance via University of Minnesota ResDAC

Access point/documentation for Medicare (Parts A/B/C/D) and Medicaid claims, enrollment, and assessment (e.g., MDS) research-identifiable files.

Geography: Beneficiary/claim level, aggregable to county/state/national
Years: Varies by file type; Medicare claims generally 1999-present

Why we used it: The actual source needed to split Medicare-only vs. Medicaid-only Alzheimer's spending, which the published Facts & Figures aggregates do not cleanly separate (see caveats on the *_spend_total_usd columns).

Verified live 2026-09-21. Requires submitting a data request form plus a CMS Data Use Agreement (DUA) to CMS; CMS notes high request volume and processing delays.

resdac.org

IHME GBD (Global Burden of Disease)

registration

Institute for Health Metrics and Evaluation, University of Washington

Modeled estimates of deaths, DALYs, prevalence, and risk-factor attribution for Alzheimer's/dementia by cause.

Geography: National and subnational (204 countries, 660 subnational locations)
Years: 1990-2023 (GBD 2023 round)

Why we used it: Enables international/cross-national benchmarking of the US Alzheimer's burden trend against comparable modeled global estimates.

Direct fetch returned 403 (bot-blocked); confirmed via search that free registration/sign-in is required to download CSV extracts (up to 100,000 rows/request) -- the interactive viewing tool itself is public.

vizhub.healthdata.org

US Census / ACS

open download

US Census Bureau

Annual demographic, economic, and housing survey (ACS) plus intercensal population estimates by age; source for the 65+ denominator and most of the demographic/socioeconomic panel columns.

Geography: National, state, county, tract (ACS 1-yr/5-yr)
Years: ACS ongoing since 2005; Population Estimates Program annual since 2000s

Why we used it: Provides the population-65+ denominator required to compute per-capita AD prevalence/mortality rates by state/year, plus income, education, race, and poverty covariates.

Verified live 2026-09-21.

census.gov

County Health Rankings

open download

University of Wisconsin Population Health Institute / Robert Wood Johnson Foundation

County- and state-level composite health outcome and health-factor measures (mortality, morbidity, social determinants).

Geography: County and state
Years: 2010-present annual releases

Why we used it: County-level social determinants (income, education, access to care) to correlate against local Alzheimer's mortality/prevalence at finer geography than state.

Verified live 2026-09-21; web explorer confirmed open, no login required.

countyhealthrankings.org

Area Health Resources File (AHRF)

open download

HRSA, Bureau of Health Workforce / National Center for Health Workforce Analysis

6,000+ variables on health care professions, facilities, population characteristics, and health economics.

Geography: County, state, national
Years: Multi-decade historical files; dashboard covers 2019-2024

Why we used it: County-level physician/geriatrician and long-term-care workforce supply data to correlate against the dementia_care_workforce_requirement policy variable and healthcare-access columns.

Verified live 2026-09-21; downloadable in SAS/CSV/ASCII with no registration barrier found.

data.hrsa.gov

Alzheimer's Association state-level data (Facts and Figures)

open download

Alzheimer's Association

Annual state-by-state Alzheimer's prevalence, projected growth, deaths, caregiver, geriatrician-supply, Medicare/Medicaid spending, and workforce estimates.

Geography: State (all 50 + DC)
Years: Annual editions, at least 2010-2026 confirmed

Why we used it: The primary published state-level dataset underlying most of panel_state.csv's Alzheimer's-specific columns and timeseries_national.csv.

Verified live 2026-09-21 (and the 2025 full-text edition was fetched directly as the primary source for panel_state.csv's alz_*, unpaid_caregiver_*, medicaid_dementia_spend_total_usd, geriatricians_count and medicare_percapita_ffs_payment_usd columns).

alz.org

NIH RePORTER / RCDC Categorical Spending

open download

NIH Office of Extramural Research

Searchable database of NIH-funded grants/contracts, publications, and patents, including by RCDC disease category (Alzheimer's Disease, and Alzheimer's Disease and Related Dementias combined).

Geography: Project/institution level, aggregable to state/national
Years: FY1985-present (ExPORTER bulk files); categorical spending back to FY2008, FY2019-2025 fetched directly for this project

Why we used it: Grant-level Alzheimer's research funding data; the direct source for the research_funding_nih_adrd_usd column in timeseries_national.csv.

Verified live 2026-09-21 -- fetched directly as text and confirmed a static HTML table with columns for FY2019-FY2025 (values used in research_funding_nih_adrd_usd). ExPORTER (https://report.nih.gov/reporter) additionally offers bulk downloadable raw project-level data.

report.nih.gov

ClinicalTrials.gov API

API

NIH National Library of Medicine

Registered/results data for all US and international clinical trials, including condition, phase, status, enrollment, sponsor, location, and outcomes.

Geography: Trial-site level, global (includes US state/city)
Years: 1999-present (registry inception); ongoing

Why we used it: Tracks the AD drug-development pipeline (trial counts/phases by year) as a leading indicator alongside the fda_approved_alz_drugs_cumulative column.

Verified via direct query 2026-09-21: GET https://clinicaltrials.gov/api/v2/studies?query.cond=Alzheimer&pageSize=1 returned valid structured JSON (NCT ID, status, design, outcomes, locations) -- fully open REST API v2, no key required.

clinicaltrials.gov

EPA Air Quality System (AirData)

open download

US Environmental Protection Agency

Ambient air quality monitoring data including PM2.5 annual averages by monitor, county, and state (CBSA).

Geography: Monitor, county, state, national
Years: 1980-present (PM2.5 monitoring network established ~1999)

Why we used it: Raw monitor-level and county-level PM2.5 data would allow a finer-grained air-pollution correlate than the single state-average column included in panel_state.csv.

Confirmed the AirData download portal is publicly accessible; the pm25_avg_ugm3 column in panel_state.csv was sourced via America's Health Rankings' aggregation of this EPA data rather than pulled directly from AirData's raw file interface in this session.

epa.gov

KFF State Health Facts

open download

KFF (Kaiser Family Foundation)

Aggregated state-by-state health policy indicators (insurance coverage, chronic disease prevalence, provider supply, hospital/nursing-home capacity), sourced from CDC BRFSS, ACS, AHA Annual Survey, and CMS.

Geography: State and national
Years: Varies by indicator, generally 2019-2024

Why we used it: Single consistent access point for many of the risk-factor and healthcare-capacity columns already included in the panel; useful for re-pulling fresher vintages later.

Verified live 2026-09-21; used as the primary aggregator for most of panel_state.csv's risk-factor and healthcare-access columns because it re-publishes CDC BRFSS/AHA data in clean, directly fetchable state tables (CDC's own BRFSS interactive tool is not simply scrapeable).

kff.org

CMS Care Compare, Hospice - Provider Data

open download

CMS (Centers for Medicare & Medicaid Services)

Medicare-certified hospice facility directory with CAHPS Hospice Survey and clinical quality measures, one row per facility x measure (453,493 rows nationally as fetched).

Geography: Facility-level (CCN), aggregated here to county via facility address
Years: 2026 (August 2026 snapshot)

Why we used it: Direct source for panel_county.csv's cms_hospice_facilities_count and cms_hospice_facilities_per_1000pop columns.

Fetched/re-verified 2026-09-27 (see data/sources/cms_hospice/README.md); metastore endpoint re-confirmed live (HTTP 200) 2026-09-30. Deduplicated to 6,669 unique CCNs and matched to panel_county.csv by (state, normalized county name) -- 6,551/6,669 (98.2%) matched; the remainder are genuine source-file gaps (missing/placeholder county field) or territories outside the continental panel.

data.cms.gov

CMS Care Compare, Home Health Care Agencies

open download

CMS (Centers for Medicare & Medicaid Services)

Medicare-certified home health agency directory (~12,460 agencies), including services offered, star ratings, and outcome measures.

Geography: Agency-level (ZIP code), mapped here to county via a Census ZCTA-to-county crosswalk
Years: 2026 (July 2026 snapshot)

Why we used it: Direct source for panel_county.csv's cms_home_health_agencies_count and cms_home_health_agencies_per_1000pop columns.

Fetched/re-verified 2026-09-27 (see data/sources/cms_home_health/README.md); metastore endpoint re-confirmed live (HTTP 200) 2026-09-30. This CMS file carries only a ZIP code, no county field, so agencies were mapped ZIP -> county FIPS via the 2020 Census ZCTA-to-county relationship file, using the largest land-area overlap for ZCTAs spanning multiple counties -- 12,375/12,460 (99.3%) matched to a panel county; an approximate ZIP-based assignment, not the agency's legal county of record.

data.cms.gov

Terms, in plain words

You may use these files. Most of the underlying data is public — from CMS, CDC, the NIH, ClinicalTrials.gov, Congress.gov and published papers. Our contribution is the collecting, cleaning and labelling. Please cite the original source rather than us where one exists; each record names it.

We make no warranty. These files are assembled by an automated research pipeline and checked against the source pages it opened. Errors are possible. Do not use them to make a clinical decision.

How to read the labels: Measured counted, surveyed or written in law. Modelled estimate produced by a statistical model — an estimate, not a count. Basis not stated the source did not say which.

Found a wrong number? Tell us and we will fix it or remove it.