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Alzheimer's and dementia in Maverick County, Texas
In 2020, 17.1% of Medicare beneficiaries here had a diagnosed dementia case (1,790 of 10,483); across the 3,181 counties with a published figure the middle county is 12.3%. That counts diagnoses, not disease, so a low figure can mean less diagnosis. Population, age, health and care-access figures follow, then Texas's own numbers.
Alzheimer's in Texas
Every card shows the source and year it came from. Open "what this number does and doesn't mean" on any card to see the caveat the people who published it attached to it.
Alzheimer's in this state
What this number does and doesn't mean
Modeled estimate based on 2020 age/sex/race population distributions, not a direct case count or registry; published in the 2025 F&F report.
What this number does and doesn't mean
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.
What this number does and doesn't mean
Computed rank, not a value published in the source report. Ties broken by original table order.
What this number does and doesn't mean
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).
What this number does and doesn't mean
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.
Unpaid caregivers here
What this number does and doesn't mean
Report gives this in thousands; value here is that figure x1000. US total 11,926,000.
What this number does and doesn't mean
US total 19,161 million hours (~19.2 billion).
What this number does and doesn't mean
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).
Doctors and beds
What this number does and doesn't mean
Based on AAN membership records, not a full practitioner census; likely a modest, roughly uniform undercount of true neurologist supply.
What this number does and doesn't mean
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.
What this number does and doesn't mean
Includes nurse practitioners and physician assistants alongside physicians, so this is broader than a 'physicians only' count.
What this number does and doesn't mean
Covers staffed community hospital beds (~85% of all US hospitals report to the AHA Annual Survey).
What this number does and doesn't mean
IMPORTANT: denominator is population 65+, not total population -- NOT directly comparable to hospital_beds_per_1000, which is per 1,000 TOTAL population.
What the state spends
What this number does and doesn't mean
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.
What this number does and doesn't mean
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.
What this number does and doesn't mean
'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.
State policy
What this number does and doesn't mean
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.
What this number does and doesn't mean
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'.
Who lives here
What this number does and doesn't mean
July 1, 2024 estimate.
What this number does and doesn't mean
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.
What this number does and doesn't mean
2023 ACS-based estimate, not the 2020 decennial Census urban/rural classification.
What this number does and doesn't mean
Inflation-adjusted to 2023 dollars per Census convention.
What this number does and doesn't mean
ACS-based rather than BRFSS-based, so Tennessee is populated here even though it is blank in several BRFSS-sourced columns.
Health of the wider population
What this number does and doesn't mean
Tennessee blank: TN did not submit sufficient 2024 BRFSS sample for KFF to report a value.
What this number does and doesn't mean
Tennessee blank, same BRFSS reporting-threshold reason as pct_diabetes.
What this number does and doesn't mean
Kentucky and Pennsylvania blank: KFF states these two states did not meet minimum sample requirements for inclusion in the 2023 release.
What this number does and doesn't mean
Tennessee blank (insufficient 2024 BRFSS sample).
What this number does and doesn't mean
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.
What this number does and doesn't mean
Tennessee value is 2023 (27.3%) because the 2024 BRFSS row for TN was marked unavailable nationally; all other states are 2024.
What this number does and doesn't mean
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.
Maverick County, Texas
Diagnosed dementia in Maverick County, 2020
What this number does and doesn't mean
Diagnosed cases from Medicare claims, not a count of disease: diagnosis rates for the same symptoms vary by place, so a low rate can reflect under-diagnosis. The denominator is all Medicare beneficiaries of any age, so it is not comparable to a 65+ prevalence rate such as the state figure above. Across the 3,181 counties with a published figure the middle half runs from 10.9% to 13.9% (median 12.3%).
What this number does and doesn't mean
First-time diagnoses in one calendar year. County median 4.3%. Like prevalence, it measures when and whether a diagnosis was made.
What this number does and doesn't mean
A case-fatality-style rate among people already diagnosed, not deaths per 100,000 residents, and not comparable to a cause-of-death rate. County median 18.2%.
This is one county's row in a national file. The county-by-county page shows how all 3,181 published counties are spread, which counties are suppressed, and what the data cannot tell you.
County figures come from a different set of sources than the state ones, so a county number and a state number on this page will not always line up. Each card names its own source.
Not available for this county: Alzheimer's/dementia diagnosed prevalence, % of population 65+; Estimated count of county residents with Alzheimer's/dementia; Total deaths with underlying cause = Alzheimer's disease (ICD-10 G30); Total deaths with underlying cause = dementia; Age-adjusted death rate, all dementia (ICD-10 F01,F03,G30), per 100,000 population; Nursing home / skilled nursing facility beds per 1,000 population.
Who lives here
What this number does and doesn't mean
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.
What this number does and doesn't mean
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.
What this number does and doesn't mean
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.
What this number does and doesn't mean
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 B01002.
What this number does and doesn't mean
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 B09021 (population 65+ 'lives alone' living-arrangement category / total population 65+ in that table's universe).
What this number does and doesn't mean
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 B18101 (ages 65-74 and 75+, both sexes, 'with a disability' summed over 'total' for those age bands).
What this number does and doesn't mean
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).
Getting to care
What this number does and doesn't mean
CHR pass-through of HRSA Area Health Resources Files; computed here as CHR's population-to-provider ratio raw value inverted and rescaled to per-100k.
What this number does and doesn't mean
CHR pass-through of CMS NPI file counts; computed here as CHR's population-to-provider ratio raw value inverted and rescaled to per-100k.
What this number does and doesn't mean
Counts only Medicare-certified short-term/critical-access hospitals with active certification (PGM_TRMNTN_CD = 00) in this CMS extract; excludes VA, psychiatric-only, and non-Medicare-certified facilities. Blank means no active Medicare-certified hospital was found in this county in the extract -- it usually means the county genuinely has none (common for small rural counties whose residents use a neighboring county's hospital), but a small share could be extract gaps.
What this number does and doesn't mean
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 B08201.
What this number does and doesn't mean
CHR pass-through of Census SAHIE data.
What this number does and doesn't mean
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 B28002; CHR 'Broadband Access raw value' used as fallback for the 8 Connecticut counties absent from the ACS pull.
Money and hardship
What this number does and doesn't mean
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 B19013; CHR 'Median Household Income raw value' used as fallback for the 8 Connecticut counties absent from the ACS pull.
What this number does and doesn't mean
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 B17001 (total population poverty status, not just children). Differs from CHR's 'Children in Poverty' measure, which was NOT used here.
What this number does and doesn't mean
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 B23025; CHR 'Unemployment raw value' used as fallback for the 8 Connecticut counties absent from the ACS pull. Not seasonally adjusted; differs methodologically from BLS LAUS unemployment rates.
What this number does and doesn't mean
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 B11001 (B11001_008 / B11001_001).
What this number does and doesn't mean
CHR pass-through of Census County Business Patterns. Already expressed per-10,000; no further conversion applied.
Health of the wider population
What this number does and doesn't mean
MODELLED (small-area) estimate, not a direct survey measurement. Derived from BRFSS 2023 self-reported survey responses using a validated multilevel regression and poststratification (MRP) small-area model, not a full county census. Values for counties in Kentucky, Pennsylvania, and Loving County TX are blank in this release -- see README missingness table. Interpret correlations with caution: because these are model outputs (not raw counts), they can be smoother / more spatially autocorrelated than a true measured rate, which can inflate correlations with other smoothed covariates (e.g., other PLACES measures or CHR measures that are also modelled).
What this number does and doesn't mean
MODELLED (small-area) estimate, not a direct survey measurement. Derived from BRFSS 2023 self-reported survey responses using a validated multilevel regression and poststratification (MRP) small-area model, not a full county census. Values for counties in Kentucky, Pennsylvania, and Loving County TX are blank in this release -- see README missingness table. Interpret correlations with caution: because these are model outputs (not raw counts), they can be smoother / more spatially autocorrelated than a true measured rate, which can inflate correlations with other smoothed covariates (e.g., other PLACES measures or CHR measures that are also modelled).
What this number does and doesn't mean
MODELLED (small-area) estimate, not a direct survey measurement. Derived from BRFSS 2023 self-reported survey responses using a validated multilevel regression and poststratification (MRP) small-area model, not a full county census. Values for counties in Kentucky, Pennsylvania, and Loving County TX are blank in this release -- see README missingness table. Interpret correlations with caution: because these are model outputs (not raw counts), they can be smoother / more spatially autocorrelated than a true measured rate, which can inflate correlations with other smoothed covariates (e.g., other PLACES measures or CHR measures that are also modelled).
What this number does and doesn't mean
MODELLED (small-area) estimate, not a direct survey measurement. Derived from BRFSS 2023 self-reported survey responses using a validated multilevel regression and poststratification (MRP) small-area model, not a full county census. Values for counties in Kentucky, Pennsylvania, and Loving County TX are blank in this release -- see README missingness table. Interpret correlations with caution: because these are model outputs (not raw counts), they can be smoother / more spatially autocorrelated than a true measured rate, which can inflate correlations with other smoothed covariates (e.g., other PLACES measures or CHR measures that are also modelled).
What this number does and doesn't mean
MODELLED (small-area) estimate, not a direct survey measurement. Derived from BRFSS 2023 self-reported survey responses using a validated multilevel regression and poststratification (MRP) small-area model, not a full county census. Values for counties in Kentucky, Pennsylvania, and Loving County TX are blank in this release -- see README missingness table. Interpret correlations with caution: because these are model outputs (not raw counts), they can be smoother / more spatially autocorrelated than a true measured rate, which can inflate correlations with other smoothed covariates (e.g., other PLACES measures or CHR measures that are also modelled).
What this number does and doesn't mean
MODELLED (small-area) estimate, not a direct survey measurement. Derived from BRFSS 2023 self-reported survey responses using a validated multilevel regression and poststratification (MRP) small-area model, not a full county census. Values for counties in Kentucky, Pennsylvania, and Loving County TX are blank in this release -- see README missingness table. Interpret correlations with caution: because these are model outputs (not raw counts), they can be smoother / more spatially autocorrelated than a true measured rate, which can inflate correlations with other smoothed covariates (e.g., other PLACES measures or CHR measures that are also modelled).
What this number does and doesn't mean
MODELLED (small-area) estimate, not a direct survey measurement. Derived from BRFSS 2023 self-reported survey responses using a validated multilevel regression and poststratification (MRP) small-area model, not a full county census. Values for counties in Kentucky, Pennsylvania, and Loving County TX are blank in this release -- see README missingness table. Interpret correlations with caution: because these are model outputs (not raw counts), they can be smoother / more spatially autocorrelated than a true measured rate, which can inflate correlations with other smoothed covariates (e.g., other PLACES measures or CHR measures that are also modelled).
More in Texas: all 254 Texas counties and state figures · Matagorda County · McCulloch County · Mason County (next to it in the alphabetical list).
Counties in Texas
254 counties. Open one for its diagnosed-dementia figures (where published) and its population, age, health and care-access figures.
- Anderson County
- Andrews County
- Angelina County
- Aransas County
- Archer County
- Armstrong County
- Atascosa County
- Austin County
- Bailey County
- Bandera County
- Bastrop County
- Baylor County
- Bee County
- Bell County
- Bexar County
- Blanco County
- Borden County
- Bosque County
- Bowie County
- Brazoria County
- Brazos County
- Brewster County
- Briscoe County
- Brooks County
- Brown County
- Burleson County
- Burnet County
- Caldwell County
- Calhoun County
- Callahan County
- Cameron County
- Camp County
- Carson County
- Cass County
- Castro County
- Chambers County
- Cherokee County
- Childress County
- Clay County
- Cochran County
- Coke County
- Coleman County
- Collin County
- Collingsworth County
- Colorado County
- Comal County
- Comanche County
- Concho County
- Cooke County
- Coryell County
- Cottle County
- Crane County
- Crockett County
- Crosby County
- Culberson County
- Dallam County
- Dallas County
- Dawson County
- DeWitt County
- Deaf Smith County
- Delta County
- Denton County
- Dickens County
- Dimmit County
- Donley County
- Duval County
- Eastland County
- Ector County
- Edwards County
- El Paso County
- Ellis County
- Erath County
- Falls County
- Fannin County
- Fayette County
- Fisher County
- Floyd County
- Foard County
- Fort Bend County
- Franklin County
- Freestone County
- Frio County
- Gaines County
- Galveston County
- Garza County
- Gillespie County
- Glasscock County
- Goliad County
- Gonzales County
- Gray County
- Grayson County
- Gregg County
- Grimes County
- Guadalupe County
- Hale County
- Hall County
- Hamilton County
- Hansford County
- Hardeman County
- Hardin County
- Harris County
- Harrison County
- Hartley County
- Haskell County
- Hays County
- Hemphill County
- Henderson County
- Hidalgo County
- Hill County
- Hockley County
- Hood County
- Hopkins County
- Houston County
- Howard County
- Hudspeth County
- Hunt County
- Hutchinson County
- Irion County
- Jack County
- Jackson County
- Jasper County
- Jeff Davis County
- Jefferson County
- Jim Hogg County
- Jim Wells County
- Johnson County
- Jones County
- Karnes County
- Kaufman County
- Kendall County
- Kenedy County
- Kent County
- Kerr County
- Kimble County
- King County
- Kinney County
- Kleberg County
- Knox County
- La Salle County
- Lamar County
- Lamb County
- Lampasas County
- Lavaca County
- Lee County
- Leon County
- Liberty County
- Limestone County
- Lipscomb County
- Live Oak County
- Llano County
- Loving County
- Lubbock County
- Lynn County
- Madison County
- Marion County
- Martin County
- Mason County
- Matagorda County
- Maverick County
- McCulloch County
- McLennan County
- McMullen County
- Medina County
- Menard County
- Midland County
- Milam County
- Mills County
- Mitchell County
- Montague County
- Montgomery County
- Moore County
- Morris County
- Motley County
- Nacogdoches County
- Navarro County
- Newton County
- Nolan County
- Nueces County
- Ochiltree County
- Oldham County
- Orange County
- Palo Pinto County
- Panola County
- Parker County
- Parmer County
- Pecos County
- Polk County
- Potter County
- Presidio County
- Rains County
- Randall County
- Reagan County
- Real County
- Red River County
- Reeves County
- Refugio County
- Roberts County
- Robertson County
- Rockwall County
- Runnels County
- Rusk County
- Sabine County
- San Augustine County
- San Jacinto County
- San Patricio County
- San Saba County
- Schleicher County
- Scurry County
- Shackelford County
- Shelby County
- Sherman County
- Smith County
- Somervell County
- Starr County
- Stephens County
- Sterling County
- Stonewall County
- Sutton County
- Swisher County
- Tarrant County
- Taylor County
- Terrell County
- Terry County
- Throckmorton County
- Titus County
- Tom Green County
- Travis County
- Trinity County
- Tyler County
- Upshur County
- Upton County
- Uvalde County
- Val Verde County
- Van Zandt County
- Victoria County
- Walker County
- Waller County
- Ward County
- Washington County
- Webb County
- Wharton County
- Wheeler County
- Wichita County
- Wilbarger County
- Willacy County
- Williamson County
- Wilson County
- Winkler County
- Wise County
- Wood County
- Yoakum County
- Young County
- Zapata County
- Zavala County
Care settings in Texas
What it costs, how many places there are, and how they are staffed. Costs are survey medians for Texas — half the providers surveyed charged more than this, half charged less. A median is not a quote.
| What | Value | Year | Basis | Source |
|---|---|---|---|---|
| Nursing home, semi-private room Median daily rate, nursing home semi-private room |
185 USD per day |
2025 | Measured | assets.carescout.com |
| Nursing home, private room Median daily rate, nursing home private room |
250 USD per day |
2025 | Measured | assets.carescout.com |
| Assisted living, private one-bedroom Median monthly cost, assisted living community (private one-bedroom) |
5,666 USD per month |
2025 | Measured | assets.carescout.com |
| Certified nursing homes Certified nursing homes |
1,177 providers |
2026 | Measured | data.cms.gov |
| Certified nursing home beds Certified nursing home beds |
133,408 beds |
2026 | Measured | data.cms.gov |
| Nursing home residents Average nursing home residents per day (sum of facility averages) |
88,704 residents per day |
2026 | Measured | data.cms.gov |
| Nurse staffing, hours per resident per day Reported total nurse staffing hours per resident per day (facility mean) |
3.385 hours per resident per day |
2026 | Measured | data.cms.gov |
| Mean overall CMS 5-star rating Mean overall 5-star rating of nursing homes |
2.65 stars (1-5) |
2026 | Measured | data.cms.gov |
| Facilities with an Alzheimer's/dementia unit Certified nursing homes reporting Alzheimer's/dementia unit beds |
64 providers |
2026 | Measured | data.cms.gov |
| Beds in Alzheimer's/dementia units Alzheimer's/dementia special-care-unit beds in certified nursing homes |
1,987 beds |
2026 | Measured | data.cms.gov |
| Residential care residents with dementia Share of residential care community residents with Alzheimer disease or other dementias |
43.4 percent |
2020 | Measured | data.cdc.gov |
| Geriatricians Medicare Part B-billing physicians with specialty 'Geriatric Medicine' |
115 physicians |
2024 | Measured | data.cms.gov |
| Geriatricians per 100,000 people age 65+ Medicare-billing 'Geriatric Medicine' physicians per 100,000 adults 65+ |
2.64 per 100,000 age 65+ |
2024 | Measured | data.cms.gov |
| Neurologists Medicare Part B-billing physicians with specialty 'Neurology' |
1,109 physicians |
2024 | Measured | data.cms.gov |
| Neurologists per 100,000 people age 65+ Medicare-billing 'Neurology' physicians per 100,000 adults 65+ |
25.42 per 100,000 age 65+ |
2024 | Measured | data.cms.gov |
| Hospital readmission rate, dementia Share of hospital stays of Medicare beneficiaries with Alzheimer's or other dementias followed by readmission within 30 days |
22.1 percent |
2023 | Measured | alz.org |
| Emergency department visits, dementia Emergency department visits per 1,000 Medicare beneficiaries with Alzheimer's or other dementias |
1,549.1 visits per 1,000 beneficiaries |
2023 | Measured | alz.org |
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What Alzheimer's costs Texas
What this number does and doesn't mean
State totals do not sum to US total due to rounding.
What this number does and doesn't mean
Small-area estimate (Lewin Model); do not treat as measured state expenditure.
What this costs you is a different question from what it costs the state. See what care is priced at in Texas.
What Texas has put in law or policy
| Policy | Type | Year | Status | Source |
|---|---|---|---|---|
| CDC BOLD award NU58DP007500 to Department Of State Health Services
BOLD Public Health Programs to Address ADRD (2023-2028 cohort, CDC-RFA-DP23-0010). Period of performance 2023-09-30 to 2028-09-29. USAspending description: BOLD PUBLIC HEALTH PR... |
Funding | 2023 | In effect | usaspending.gov |
| CDC BOLD award NU58DP007513 to Cameron County
BOLD Public Health Programs to Address ADRD (2023-2028 cohort, CDC-RFA-DP23-0010). Period of performance 2023-09-30 to 2028-09-29. USAspending description: GOING BOLD IN CAMERON COUNTY |
Funding | 2023 | In effect | usaspending.gov |
| Texas state Alzheimer's/dementia plan
2019-2023 State Plan for Alzheimer's Disease (Texas DSHS, required by SB 999 of 2019); first plan Putting the Pieces Together 2010-2015 (September 2010). |
Public health plan | 2019 | In effect | alzimpact.org |
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A status here reflects the source at the time it was read, not a live check of the statute book.
People you can call from Texas
These lines are national, not local to Texas. We do not hold a verified state-by-state directory of local organisations, so we are not going to print one. What we do hold is a short list of numbers that were each checked against the organisation's own page — and the first one will connect you to services in your own area.
- Alzheimer's Association 24/7 Helpline 800-272-3900 24 hours a day, 365 days a year Free, confidential support and information for people with dementia, caregivers, families and the public. Master's-level clinicians. Also Spanish.
- 988 Suicide & Crisis Lifeline 988 24/7 Call or text 988, or chat at 988lifeline.org. For anyone in emotional distress or a mental-health crisis, including caregivers.
- Alzheimer's Foundation of America (AFA) Helpline 866-232-8484 9:00 am - 9:00 pm ET, seven days a week Licensed social workers providing support, info and referrals. Also text message and web chat. Text: 646-586-5283
In a medical emergency, call 911. More numbers, and what each line does, on the help page.
Where these numbers come from
- State figures
- panel_state.csv (19 KB, 51 rows) — column dictionary in panel_state_meta.json, which is where each card's source, year and caveat is read from.
- County figures
- panel_county.csv (2.5 MB, 3143 rows) — dictionary in panel_county_meta.json.
- Care settings
- care_settings.json
- Costs
- economics.json
- Policy
- policy.json
- Data collected
- 2026-09-21
What could make these numbers misleading
Several of the headline figures — how many people in a state have Alzheimer's, what Medicaid spends on dementia, the value of unpaid care — are model estimates, not counts. They come from statistical models applied to survey data, and they carry the Modelled estimate label wherever they appear. Prevalence in particular is a modelled projection onto 2020 population structure, not a registry of diagnosed people.
Different rows describe different years. A 2025 cost sitting beside a 2020 prevalence estimate is not a contradiction; it is the most recent published figure for each. The year is printed on every card for exactly this reason.
Every figure on this page is read straight out of a file in our data folder; nothing is typed in by hand. You can download the raw data and check any row yourself. This is a summary of published data, not medical advice.