About this index & how it's been checked

The Aging Vulnerability Index (AVI) is this platform's own construction, modeled on the CDC/ATSDR Social Vulnerability Index methodology but not a CDC product and not independently validated. It combines Census ACS data on the population 65 and older — demographic aging pressure, economic precarity, health/disability/isolation, and housing/transportation burden — into a single percentile ranking of U.S. counties. The underlying inputs are official Census data; the index construction and weighting are this platform's own.

Reference-county check

A face-validity check against real counties with well-documented age profiles — the same method used to calibrate this platform's seasonal-community threshold. Higher percentile = more aging-vulnerable.

  • ✓ Sumter County, FL — 79.8th percentile (expected HIGH, The Villages — often cited as the oldest-median-age U.S. county)
  • ✓ Charlotte County, FL — 90.8th percentile (expected HIGH, Retirement destination)
  • ✓ Citrus County, FL — 88.1th percentile (expected HIGH, Retirement destination)
  • ✓ Highlands County, FL — 95.9th percentile (expected HIGH, Retirement destination)
  • ✓ Brazos County, TX — 17.0th percentile (expected LOW, Texas A&M)
  • ✓ Story County, IA — 8.9th percentile (expected LOW, Iowa State)
  • ✓ Whitman County, WA — 10.3th percentile (expected LOW, Washington State University)
  • ✓ Tompkins County, NY — 7.6th percentile (expected LOW, Cornell)

Highest / lowest AVI by county population

Under 50,000

Highest
  1. Catron County, NM — 100.0th pctile (pop. 3,743)
  2. De Baca County, NM — 99.9th pctile (pop. 1,576)
  3. Ozark County, MO — 99.8th pctile (pop. 8,873)
  4. Scott County, VA — 99.6th pctile (pop. 21,479)
  5. Harney County, OR — 99.6th pctile (pop. 7,499)
Lowest
  1. Martin County, TX — 0.0th pctile (pop. 5,218)
  2. Jim Hogg County, TX — 0.1th pctile (pop. 4,727)
  3. Haskell County, KS — 0.1th pctile (pop. 3,641)
  4. Hanson County, SD — 0.1th pctile (pop. 3,472)
  5. Trousdale County, TN — 0.2th pctile (pop. 11,957)

50,000-99,999

Highest
  1. Nye County, NV — 96.7th pctile (pop. 54,344)
  2. Gila County, AZ — 96.7th pctile (pop. 53,795)
  3. Raleigh County, WV — 96.0th pctile (pop. 73,195)
  4. Wilkes County, NC — 95.6th pctile (pop. 65,935)
  5. Pittsylvania County, VA — 94.0th pctile (pop. 59,856)
Lowest
  1. Oldham County, KY — 0.0th pctile (pop. 69,257)
  2. Eagle County, CO — 0.2th pctile (pop. 55,135)
  3. Lincoln County, SD — 0.5th pctile (pop. 70,638)
  4. Johnson County, MO — 0.9th pctile (pop. 54,732)
  5. Lafayette County, MS — 1.3th pctile (pop. 58,327)

100,000-299,999

Highest
  1. Highlands County, FL — 95.9th pctile (pop. 105,702)
  2. Mohave County, AZ — 93.9th pctile (pop. 220,517)
  3. Douglas County, OR — 93.0th pctile (pop. 112,072)
  4. Charlotte County, FL — 90.8th pctile (pop. 201,064)
  5. Indian River County, FL — 90.3th pctile (pop. 166,936)
Lowest
  1. Union County, NC — 0.8th pctile (pop. 250,958)
  2. Scott County, MN — 1.1th pctile (pop. 154,557)
  3. Williamson County, TN — 1.2th pctile (pop. 260,351)
  4. St. Mary's County, MD — 1.3th pctile (pop. 115,126)
  5. Dallas County, IA — 1.5th pctile (pop. 107,968)

300,000 and higher

Highest
  1. Pinellas County, FL — 90.1th pctile (pop. 963,481)
  2. Collier County, FL — 89.9th pctile (pop. 398,291)
  3. Marion County, FL — 87.1th pctile (pop. 400,078)
  4. Lee County, FL — 86.1th pctile (pop. 817,666)
  5. Palm Beach County, FL — 85.0th pctile (pop. 1,533,806)
Lowest
  1. Hamilton County, IN — 0.6th pctile (pop. 365,056)
  2. Prince William Count, VA — 2.1th pctile (pop. 488,880)
  3. Davis County, UT — 2.1th pctile (pop. 370,924)
  4. Douglas County, CO — 2.2th pctile (pop. 377,150)
  5. Loudoun County, VA — 2.4th pctile (pop. 432,998)
Compare
NationallyWithin its state

Polk County — Aging Vulnerability Index by county subdivision

Candidate index, not validated against ground truth — 2020–2024 ACS 5-year
Polk County — Aging Vulnerability Index by county subdivision
Campbell township — 15 (Lower-middle)Cliquot township — 7 (Lower)East Looney township — 49 (Upper-middle)East Madison township — 30 (Middle)Flemington township — 7 (Lower)Jackson township — 55 (Upper-middle)Jefferson township — 13 (Lower)Johnson township — 97 (Higher)McKinley township — 7 (Lower)Mooney township — 15 (Lower-middle)North Benton township — 89 (Higher)Northeast Marion township — 89 (Higher)North Green township — 14 (Lower-middle)Northwest Marion township — 45 (Middle)South Benton township — 27 (Middle)Southeast Marion township — 31 (Middle)South Green township — 75 (Higher)Southwest Marion township — 61 (Upper-middle)Union township — 94 (Higher)West Looney township — 48 (Upper-middle)West Madison township — 22 (Middle)Wishart township — 17 (Lower-middle)
Where this is
Shading: Aging Vulnerability Index
Lower (7 to 13)Lower-middle (14 to 17)Middle (22 to 45)Upper-middle (48 to 61)Higher (75 to 97)
Each unit is shaded by its Aging Vulnerability Index value and grouped into equal-count bands (quantiles) against the other units shown — lighter = lower, darker = higher. It ranks position among the units in view; it does not grade places, and the ranges shift with which units are shown.
The map is bounded to this parent geography — it shows the selected unit among its own siblings only, the same depth rule the drill-down uses. Shading ranks position on the measure among the units shown; it does not grade places.

Click a county subdivision to see its overall percentile and theme scores.

← Back to county view
Median county subdivision: 31st percentile (among all U.S. county subdivisions).
These county subdivisions span the 7th percentile to the 97th percentile. The width of that range is the internal disparity.
Well above the median4 (18%)
Above the median2 (9%)
Near the median4 (18%)
Below the median4 (18%)
Well below the median8 (36%)
Widest spread across these county subdivisions: Housing & Transportation, 65+ — this theme most separates the higher- and lower-ranked county subdivisions here.
AVI ranks each county subdivision's position relative to a comparison set; it is not averaged into one number for the area, because percentiles do not average meaningfully. The distribution — median, range, and shape below — is the summary.
Johnson township — 97th percentile — Well above the median 3 of 12 flagged
Driven by Demographic Aging Pressure (well above), Economic Precarity, 65+ (well above), Housing & Transportation, 65+ ‡ (well above) and Social Isolation (well above); near the median on Health, Disability & Isolation ‡.
‡ theme includes at least one flagged input.
Union township — 94th percentile — Well above the median 9 of 12 flagged
Driven by Demographic Aging Pressure ‡ (above), Health, Disability & Isolation ‡ (above), Housing & Transportation, 65+ ‡ (well above) and Social Isolation ‡ (well above); near the median on Economic Precarity, 65+ ‡.
‡ theme includes at least one flagged input.
Northeast Marion township — 89th percentile — Well above the median 4 of 12 flagged
Driven by Demographic Aging Pressure (well above), Housing & Transportation, 65+ ‡ (above) and Social Isolation (well above); near the median on Economic Precarity, 65+ ‡ and Health, Disability & Isolation ‡.
‡ theme includes at least one flagged input.
North Benton township — 89th percentile — Well above the median 8 of 12 flagged
Driven by Demographic Aging Pressure ‡ (well above), Economic Precarity, 65+ ‡ (well above), Health, Disability & Isolation ‡ (above) and Social Isolation ‡ (well above); below the median on Housing & Transportation, 65+ ‡.
‡ theme includes at least one flagged input.
South Green township — 75th percentile — Above the median 7 of 12 flagged
Driven by Demographic Aging Pressure ‡ (well above), Economic Precarity, 65+ ‡ (above) and Social Isolation ‡ (above); below the median on Health, Disability & Isolation and Housing & Transportation, 65+ ‡.
‡ theme includes at least one flagged input.
Southwest Marion township — 61st percentile — Above the median 4 of 12 flagged
Driven by Demographic Aging Pressure (above) and Social Isolation ‡ (well above); near the median on Economic Precarity, 65+ ‡ and Health, Disability & Isolation ‡; below the median on Housing & Transportation, 65+ ‡.
‡ theme includes at least one flagged input.
Jackson township — 55th percentile — Near the median 8 of 12 flagged
Driven by Demographic Aging Pressure ‡ (above) and Economic Precarity, 65+ ‡ (above); near the median on Health, Disability & Isolation ‡ and Social Isolation ‡; below the median on Housing & Transportation, 65+ ‡.
‡ theme includes at least one flagged input.
East Looney township — 49th percentile — Near the median 5 of 12 flagged
Driven by Demographic Aging Pressure ‡ (above) and Economic Precarity, 65+ ‡ (above); near the median on Housing & Transportation, 65+ ‡; below the median on Health, Disability & Isolation and Social Isolation ‡.
‡ theme includes at least one flagged input.
West Looney township — 48th percentile — Near the median 8 of 12 flagged
Driven by Economic Precarity, 65+ ‡ (above), Housing & Transportation, 65+ ‡ (above) and Social Isolation ‡ (well above); near the median on Demographic Aging Pressure ‡; below the median on Health, Disability & Isolation.
‡ theme includes at least one flagged input.
Northwest Marion township — 45th percentile — Near the median 6 of 12 flagged
Driven by Demographic Aging Pressure ‡ (above) and Social Isolation ‡ (above); near the median on Housing & Transportation, 65+ ‡; below the median on Economic Precarity, 65+ ‡ and Health, Disability & Isolation ‡.
‡ theme includes at least one flagged input.
Southeast Marion township — 31st percentile — Below the median 6 of 12 flagged
Driven by Economic Precarity, 65+ ‡ (well above), Housing & Transportation, 65+ ‡ (above) and Social Isolation ‡ (above); below the median on Demographic Aging Pressure ‡ and Health, Disability & Isolation.
‡ theme includes at least one flagged input.
East Madison township — 30th percentile — Below the median 7 of 12 flagged
Driven by Economic Precarity, 65+ ‡ (above), Health, Disability & Isolation ‡ (above) and Social Isolation ‡ (above); below the median on Demographic Aging Pressure ‡ and Housing & Transportation, 65+ ‡.
‡ theme includes at least one flagged input.
South Benton township — 27th percentile — Below the median 8 of 12 flagged
Driven by Economic Precarity, 65+ ‡ (above) and Health, Disability & Isolation ‡ (above); near the median on Social Isolation ‡; below the median on Demographic Aging Pressure ‡ and Housing & Transportation, 65+ ‡.
‡ theme includes at least one flagged input.
West Madison township — 22nd percentile — Below the median 6 of 12 flagged
Driven by Health, Disability & Isolation ‡ (above); near the median on Demographic Aging Pressure ‡ and Economic Precarity, 65+ ‡; below the median on Housing & Transportation, 65+ and Social Isolation ‡.
‡ theme includes at least one flagged input.
Wishart township — 17th percentile — Well below the median 5 of 12 flagged
Driven by Economic Precarity, 65+ ‡ (above); near the median on Demographic Aging Pressure ‡; below the median on Health, Disability & Isolation, Housing & Transportation, 65+ and Social Isolation ‡.
‡ theme includes at least one flagged input.
Mooney township — 15th percentile — Well below the median 6 of 12 flagged
Driven by Housing & Transportation, 65+ ‡ (well above); near the median on Health, Disability & Isolation ‡; below the median on Demographic Aging Pressure ‡, Economic Precarity, 65+ ‡ and Social Isolation ‡.
‡ theme includes at least one flagged input.
Campbell township — 15th percentile — Well below the median 7 of 12 flagged
Driven by Health, Disability & Isolation ‡ (above); near the median on Housing & Transportation, 65+ ‡ and Social Isolation ‡; below the median on Demographic Aging Pressure ‡ and Economic Precarity, 65+ ‡.
‡ theme includes at least one flagged input.
North Green township — 14th percentile — Well below the median 5 of 12 flagged
Driven by Economic Precarity, 65+ ‡ (well above) and Health, Disability & Isolation (above); near the median on Social Isolation ‡; below the median on Demographic Aging Pressure ‡ and Housing & Transportation, 65+.
‡ theme includes at least one flagged input.
Jefferson township — 13th percentile — Well below the median 6 of 12 flagged
Driven by Economic Precarity, 65+ ‡ (well above); near the median on Social Isolation ‡; below the median on Demographic Aging Pressure ‡, Health, Disability & Isolation and Housing & Transportation, 65+.
‡ theme includes at least one flagged input.
Flemington township — 7th percentile — Well below the median 8 of 12 flagged
Driven by Health, Disability & Isolation ‡ (above); below the median on Demographic Aging Pressure ‡, Economic Precarity, 65+ ‡, Housing & Transportation, 65+ ‡ and Social Isolation ‡.
‡ theme includes at least one flagged input.
Cliquot township — 7th percentile — Well below the median 8 of 12 flagged
Driven by Housing & Transportation, 65+ ‡ (well above); below the median on Demographic Aging Pressure ‡, Economic Precarity, 65+ ‡, Health, Disability & Isolation and Social Isolation ‡.
‡ theme includes at least one flagged input.
McKinley township — 7th percentile — Well below the median 7 of 12 flagged
Driven by Economic Precarity, 65+ ‡ (above); near the median on Social Isolation ‡; below the median on Demographic Aging Pressure ‡, Health, Disability & Isolation and Housing & Transportation, 65+.
‡ theme includes at least one flagged input.
AVI = a candidate Aging Vulnerability Index, computed by this platform from American Community Survey 2020–2024 5-year estimates, following the same method shape (percentile rank -> theme sum -> re-rank -> overall) as the CDC/ATSDR SVI this platform also recomputes — but AVI itself has no published ground truth to validate against. It is a first-cut, directional design. Percentiles rank each county against all U.S. county subdivisions.
Several of AVI's 12 input signals carry a documented high margin of error at this grain (most notably lack of health insurance, 65+) and are kept in the index with a flag rather than dropped, to preserve variable coverage. A county's flag count (shown per-county above) is a direct measure of how much its rank should be read as directional rather than precise.

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