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

Muskegon County — Aging Vulnerability Index by county subdivision

Candidate index, not validated against ground truth — 2020–2024 ACS 5-year
Muskegon County — Aging Vulnerability Index by county subdivision
Blue Lake township — 30 (Lower-middle)Casnovia township — 43 (Middle)Cedar Creek township — 44 (Middle)Dalton township — 21 (Lower)Egelston township — 40 (Lower-middle)Fruitland township — 58 (Upper-middle)Fruitport charter township — 63 (Upper-middle)Holton township — 27 (Lower)Laketon township — 37 (Lower-middle)Montague — 35 (Lower-middle)Montague township — 70 (Upper-middle)Moorland township — 56 (Middle)Muskegon — 49 (Middle)Muskegon charter township — 92 (Higher)Muskegon Heights — 58 (Upper-middle)North Muskegon — 27 (Lower)Norton Shores — 79 (Higher)Ravenna township — 28 (Lower)Roosevelt Park — 59 (Upper-middle)Sullivan township — 84 (Higher)Whitehall — 83 (Higher)Whitehall township — 43 (Lower-middle)White River township — 76 (Higher)
Where this is
Shading: Aging Vulnerability Index
Lower (21 to 28)Lower-middle (30 to 43)Middle (43 to 56)Upper-middle (58 to 70)Higher (76 to 92)
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: 49th percentile (among all U.S. county subdivisions).
These county subdivisions span the 21st percentile to the 92nd percentile. The width of that range is the internal disparity.
Well above the median3 (13%)
Above the median4 (17%)
Near the median9 (39%)
Below the median7 (30%)
Well below the median0 (0%)
Widest spread across these county subdivisions: Health, Disability & Isolation — 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.
Muskegon charter township — 92nd percentile — Well above the median 3 of 12 flagged
Driven by Economic Precarity, 65+ (above), Health, Disability & Isolation ‡ (well above), Housing & Transportation, 65+ ‡ (well above) and Social Isolation (well above); near the median on Demographic Aging Pressure.
‡ theme includes at least one flagged input.
Sullivan township — 84th percentile — Well above the median 8 of 12 flagged
Driven by Health, Disability & Isolation ‡ (well above), Housing & Transportation, 65+ ‡ (above) and Social Isolation ‡ (above); near the median on Demographic Aging Pressure ‡ and Economic Precarity, 65+ ‡.
‡ theme includes at least one flagged input.
Whitehall — 83rd percentile — Well above the median 4 of 12 flagged
Driven by Demographic Aging Pressure (well above), Economic Precarity, 65+ ‡ (well above) and Housing & Transportation, 65+ ‡ (well above); near the median on Social Isolation; below the median on Health, Disability & Isolation ‡.
‡ theme includes at least one flagged input.
Norton Shores — 79th percentile — Above the median 4 of 12 flagged
Driven by Demographic Aging Pressure (above), Health, Disability & Isolation ‡ (well above) and Housing & Transportation, 65+ ‡ (above); near the median on Economic Precarity, 65+; below the median on Social Isolation ‡.
‡ theme includes at least one flagged input.
White River township — 76th percentile — Above the median 5 of 12 flagged
Driven by Demographic Aging Pressure (well above), Health, Disability & Isolation ‡ (above) and Housing & Transportation, 65+ ‡ (above); near the median on Economic Precarity, 65+ ‡; below the median on Social Isolation ‡.
‡ theme includes at least one flagged input.
Montague township — 70th percentile — Above the median 8 of 12 flagged
Driven by Economic Precarity, 65+ ‡ (above), Health, Disability & Isolation ‡ (well above) and Housing & Transportation, 65+ ‡ (above); near the median on Demographic Aging Pressure ‡; below the median on Social Isolation ‡.
‡ theme includes at least one flagged input.
Fruitport charter township — 63rd percentile — Above the median 5 of 12 flagged
Driven by Demographic Aging Pressure ‡ (above) and Housing & Transportation, 65+ ‡ (above); near the median on Economic Precarity, 65+ and Health, Disability & Isolation ‡; below the median on Social Isolation ‡.
‡ theme includes at least one flagged input.
Roosevelt Park — 59th percentile — Near the median 6 of 12 flagged
Driven by Economic Precarity, 65+ (above), Health, Disability & Isolation ‡ (well above) and Housing & Transportation, 65+ ‡ (above); near the median on Demographic Aging Pressure; below the median on Social Isolation ‡.
‡ theme includes at least one flagged input.
Muskegon Heights — 58th percentile — Near the median 3 of 12 flagged
Driven by Economic Precarity, 65+ (well above), Health, Disability & Isolation ‡ (above), Housing & Transportation, 65+ ‡ (well above) and Social Isolation (above); below the median on Demographic Aging Pressure.
‡ theme includes at least one flagged input.
Fruitland township — 58th percentile — Near the median 6 of 12 flagged
Driven by Demographic Aging Pressure ‡ (well above); near the median on Social Isolation ‡; below the median on Economic Precarity, 65+ ‡, Health, Disability & Isolation ‡ and Housing & Transportation, 65+ ‡.
‡ theme includes at least one flagged input.
Moorland township — 56th percentile — Near the median 6 of 12 flagged
Driven by Housing & Transportation, 65+ ‡ (well above); near the median on Economic Precarity, 65+ ‡, Health, Disability & Isolation ‡ and Social Isolation ‡; below the median on Demographic Aging Pressure ‡.
‡ theme includes at least one flagged input.
Muskegon — 49th percentile — Near the median 1 of 12 flagged
Driven by Economic Precarity, 65+ (well above) and Housing & Transportation, 65+ (well above); near the median on Social Isolation; below the median on Demographic Aging Pressure and Health, Disability & Isolation ‡.
‡ theme includes at least one flagged input.
Cedar Creek township — 44th percentile — Near the median 7 of 12 flagged
Driven by Housing & Transportation, 65+ ‡ (well above) and Social Isolation ‡ (above); near the median on Economic Precarity, 65+ ‡ and Health, Disability & Isolation ‡; below the median on Demographic Aging Pressure ‡.
‡ theme includes at least one flagged input.
Casnovia township — 43rd percentile — Near the median 6 of 12 flagged
Driven by Economic Precarity, 65+ ‡ (above), Health, Disability & Isolation ‡ (above), Housing & Transportation, 65+ ‡ (above) and Social Isolation ‡ (above); below the median on Demographic Aging Pressure ‡.
‡ theme includes at least one flagged input.
Whitehall township — 43rd percentile — Near the median 5 of 12 flagged
Driven by Economic Precarity, 65+ ‡ (well above) and Housing & Transportation, 65+ ‡ (above); near the median on Health, Disability & Isolation ‡; below the median on Demographic Aging Pressure and Social Isolation ‡.
‡ theme includes at least one flagged input.
Egelston township — 40th percentile — Near the median 5 of 12 flagged
Driven by Economic Precarity, 65+ (above) and Housing & Transportation, 65+ ‡ (well above); near the median on Health, Disability & Isolation ‡ and Social Isolation ‡; below the median on Demographic Aging Pressure ‡.
‡ theme includes at least one flagged input.
Laketon township — 37th percentile — Below the median 5 of 12 flagged
Driven by Housing & Transportation, 65+ ‡ (well above); near the median on Demographic Aging Pressure, Economic Precarity, 65+ ‡ and Health, Disability & Isolation ‡; below the median on Social Isolation ‡.
‡ theme includes at least one flagged input.
Montague — 35th percentile — Below the median 4 of 12 flagged
Driven by Housing & Transportation, 65+ ‡ (well above); near the median on Demographic Aging Pressure ‡ and Economic Precarity, 65+; below the median on Health, Disability & Isolation and Social Isolation ‡.
‡ theme includes at least one flagged input.
Blue Lake township — 30th percentile — Below the median 6 of 12 flagged
Driven by Economic Precarity, 65+ (above) and Health, Disability & Isolation ‡ (above); near the median on Housing & Transportation, 65+ ‡; below the median on Demographic Aging Pressure ‡ and Social Isolation ‡.
‡ theme includes at least one flagged input.
Ravenna township — 28th percentile — Below the median 4 of 12 flagged
Driven by Housing & Transportation, 65+ ‡ (above) and Social Isolation (above); below the median on Demographic Aging Pressure ‡, Economic Precarity, 65+ and Health, Disability & Isolation ‡.
‡ theme includes at least one flagged input.
Holton township — 27th percentile — Below the median 6 of 12 flagged
Driven by Economic Precarity, 65+ (above) and Housing & Transportation, 65+ ‡ (above); near the median on Health, Disability & Isolation ‡; below the median on Demographic Aging Pressure ‡ and Social Isolation ‡.
‡ theme includes at least one flagged input.
North Muskegon — 27th percentile — Below the median 7 of 12 flagged
Near the median on Demographic Aging Pressure ‡, Economic Precarity, 65+ ‡ and Housing & Transportation, 65+ ‡; below the median on Health, Disability & Isolation ‡ and Social Isolation ‡.
‡ theme includes at least one flagged input.
Dalton township — 21st percentile — Below the median 5 of 12 flagged
Driven by Housing & Transportation, 65+ ‡ (well above); near the median on Economic Precarity, 65+ ‡; below the median on Demographic Aging Pressure ‡, Health, Disability & Isolation ‡ and Social Isolation ‡.
‡ theme includes at least one flagged input.
1 county unranked — insufficient data
These carry no percentile. Excluded from the bands, median and range above, and never shown as a low score.
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.

Scroll to Top