The Geography of Aging in the United States
The Geography of Aging in the United States
County-Level Population Aging and Strategic Implications for Healthcare Executive Leadership
Aging is a geographic operating condition, not simply a national trend
The county map of adults age 65 and older reveals a structural feature of the United States that is easily missed in national averages: population aging is spatially uneven, operationally consequential, and frequently most intense in communities with the least service redundancy. An aging strategy cannot be designed only at the enterprise level. It must be translated into county, market, and service-area decisions.
High aging concentration creates demand intensity, but it does not automatically create sufficient market scale to sustain traditional facility-based models. In many rural counties, the strategic problem is a combination of high need, low density, long travel distances, workforce scarcity, and a contracting caregiver base. In metropolitan counties, the opposite risk can occur: a lower percentage concentration may conceal very large absolute numbers of older adults. Executive planning must therefore evaluate both concentration and count.
Five key findings for executive leadership
- A durable demographic transition. The national share age 65 and older reached 18.0% in 2024 and is projected to exceed 20% by 2030.
- A demographic support deficit. Rural aging is intensified by simultaneous growth of older residents and contraction of the working-age population, affecting staffing, caregiving, tax capacity, and local economic resilience.
- Concentration is not count. The counties with the highest percentages of older adults are not necessarily those with the largest numbers. Percentage measures dependency and system pressure; absolute count measures service volume and market demand.
- Access capacity is not keeping pace. In the most remote communities, aging-related services are often stagnant or declining, and the ratio of rural eldercare establishments per older resident has fallen.
- An integrated operating model is required. Aging strategy should link geospatial demand forecasting, geriatric-capable pathways, hub-and-spoke access, home-based care, transportation, digital inclusion, workforce redesign, and market-level accountability.
Growth is not evenly distributed by age group
Change in U.S. population, 2020 to 2024, by broad age group (U.S. Census Bureau, 2025).
The 65 and older population grew 13.0% while the working-age population grew 1.4% and the under-18 population declined 1.7%. Aging is already altering the age structure of markets, payer pools, households, and local labor forces.
Map the population. Measure the access gap. Differentiate the market. Build geriatric capability into every pathway. Govern aging readiness as a core strategic responsibility.
A bivariate visual, not a simple choropleth
The RHIhub map encodes two variables simultaneously. Hue distinguishes metropolitan status, and shade intensity represents the percentage of residents age 65 and older. This lets leaders see where aging concentration intersects with rurality, but it also creates a risk of misinterpretation: the percentage category must be read within each hue family.
Interactive legend
Tap a category to see how it should be interpreted.
Core measures for local analysis
Age concentration describes the relative weight of older residents within a county. The dependency ratio measures older residents relative to the working-age population, which supplies much of the formal workforce, the tax base, and informal caregiving. Neither measure is sufficient on its own: both should be combined with absolute counts, projected growth, travel time, provider density, facility supply, payer mix, disability, poverty, broadband, and caregiver capacity.
A county shaded in the highest category is not necessarily a large market. It may have a small population with a very high share of older adults. Conversely, a metropolitan county in a lower percentage category may contain hundreds of thousands of older adults. The map measures proportional concentration, not service volume.
Four map patterns and their executive interpretations
| Map pattern | Executive interpretation |
|---|---|
| High percentage, low absolute count | A small rural county may face intense dependency and access pressure without enough volume to support a full-service facility. Distributed, mobile, regional, and home-based models are often more viable than duplication of fixed capacity. |
| High percentage, high absolute count | A retirement market or older metropolitan region may support specialized ambulatory, chronic-care, home-health, memory-care, rehabilitation, and post-acute service lines, but it requires workforce scale and coordinated capacity planning. |
| Lower percentage, high absolute count | Large and younger metropolitan counties may still contain more older adults than entire rural regions. Enterprise dashboards that rely only on percentages can materially understate demand. |
| Rapid growth from a lower baseline | Fast-growing Sun Belt and Mountain West markets can experience a future capacity shock even when the current age share appears moderate. Trend and projection data are essential. |
Read concentration, absolute count, and projected change together. Then test whether the local workforce and access capacity can absorb the resulting demand.
The national and county demographic transition
The U.S. population age 65 and older reached 61.2 million in 2024. By 2030, all members of the baby-boom generation will be at least 65, and the next phase of the transition will include accelerated growth among adults 75 to 84 and, later, 85 and older. The Administration for Community Living projects that the 85-and-older population will more than double between 2022 and 2040.
Projected national share age 65 and older
Figure 2. Reported and projected share of the U.S. population age 65 and older. Source: U.S. Census Bureau, 2023 National Population Projections, Table D, Main Series; Vintage 2024 estimates.
The county crossover is a governance signal
Figure 3. Counties where older adults outnumber children rose from 983 in 2020 to 1,411 in 2024, nearly 45% of all counties. Source: U.S. Census Bureau, Vintage 2024 Population Estimates.
The crossover has implications beyond healthcare utilization. It signals a shift in school enrollment, housing demand, transportation needs, emergency planning, volunteer capacity, tax structure, caregiving, and political priorities. Many crossover counties are small and outside metropolitan or micropolitan areas, so the demographic balance changes most rapidly in places where specialized labor pools and institutional redundancy may already be limited.
Interactive: concentration versus count
Percentage answers, “How dominant is the older population within this community?” Absolute count answers, “How many older people may require services?” Adjust the values to compare two counties.
Every market assessment should display three measures side by side: the current older-adult count, the current older-adult percentage, and the projected five- to ten-year change. A single choropleth cannot answer all three questions.
Rural aging and the demographic support deficit
Between 2010 and 2023, the rural population age 65 and older increased from 7.4 million to 9.7 million, while the rural working-age population declined from just over 30 million to 28 million. The population likely to require more healthcare and caregiving is expanding while the population that staffs services, supports informal care, and sustains local economic activity is contracting.
Diverging rural populations, 2010 to 2023
Figure 4. Rural population age 65+ versus working-age (15 to 64), in millions. Working-age start shown as approximately 30 million per USDA description. Source: U.S. Department of Agriculture, Economic Research Service (Winkler, 2025).
Dependency burden per 100 working-age residents, 2023
Figure 5. The median remote rural county supported roughly 40 older residents and 31 children per 100 working-age residents; the metropolitan median was 29 and 28. Source: USDA Economic Research Service, 2023 estimates. Totals may differ slightly because of rounding.
The dependency ratio does not imply that older adults are economically unproductive. Many contribute retirement income, employment, caregiving, volunteer labor, civic leadership, and social capital. It does indicate that a smaller working-age base must sustain a larger set of care, infrastructure, and service obligations.
The reinforcing cycle of workforce strain
The workforce consequence is broader than a shortage of geriatricians. Scroll to watch the cycle build; each stage feeds the next.
More primary care, nursing, pharmacy, imaging, rehabilitation, emergency medicine, behavioral health, home health, personal care, transportation, and care coordination.
Fewer younger adults are available for training and recruitment; smaller employers compete for the same labor pool; family caregivers reduce work hours or leave employment.
As services consolidate or close, patients cross county boundaries to obtain care.
Delayed presentation raises complexity and cost, feeding back into demand.
Executive workforce planning implication
Age structure should be treated as a leading indicator. Recruitment and vacancy dashboards describe the current labor market; county demography describes the future labor market. Markets with high older-age dependency, net outmigration of younger adults, and limited educational infrastructure warrant earlier use of regional staffing, cross-training, apprenticeship pipelines, remote clinical support, scope-of-practice optimization, and technology that reduces low-value administrative work.
Health-service demand and access capacity
Aging increases clinical complexity, not merely visit volume. In 2023, 93.0% of U.S. adults age 65 and older reported at least one of 12 selected chronic conditions, and 78.8% reported two or more. Multimorbidity increases medication complexity, care transitions, diagnostic utilization, functional risk, and the need for longitudinal coordination.
Chronic condition burden, adults 65+, 2023
Derived from Watson et al. (2025): 78.8% report two or more conditions, 14.2% exactly one, and 7.0% none. The older population remains heterogeneous; the relevant point is that the distribution of need shifts.
Eldercare establishments per 1,000 residents 65+
Figure 6. The rural ratio declined from 1.68 to 1.46 between 2010 and 2023 while the urban ratio rose from 1.54 to 1.61. More organizations do not translate into greater availability when the population at risk grows faster. Source: USDA Economic Research Service (Genetin, 2025).
Rural hospital closures, 2005 to 2023
146 rural hospitals closed or ceased acute inpatient care; 81 closed completely (Rupasingha & Cho, 2025). Closure alters emergency response, diagnostic access, rehabilitation pathways, home-health referral networks, physician recruitment, and the community’s economic foundation (Mills et al., 2024).
Access friction indicators
Transportation is part of the clinical pathway. Track travel time to the nearest site, cross-county appointment share, cancellation and no-show rates by distance, same-day transport availability, after-hours return options, and dependence on family drivers. Digital strategy needs a hybrid-access standard. Every digital pathway should have an assisted option, a telephone option, and an in-person alternative, tested with adults who have impaired vision, hearing, dexterity, or cognition. Screening without referral capacity is insufficient. Systems need formal relationships with senior centers, Area Agencies on Aging, faith communities, meal programs, transportation providers, libraries, and community health workers.
Executive operating and financial implications
County aging patterns should inform demand forecasting, payer-mix strategy, capital allocation, the clinical operating model, and emergency preparedness. High age concentration alone does not justify fixed-site expansion; it may instead support mobile imaging, rotating specialty clinics, hospital-at-home support, community paramedicine, shared regional staffing, remote interpretation, or partnership with local primary care and critical-access organizations.
Service-line planning
Forecast demand for primary care, cardiology, oncology, orthopedics, neurology, ophthalmology, audiology, imaging, pharmacy, rehabilitation, behavioral health, emergency, palliative, home health, hospice, and long-term services. The correct mix depends on prevalence, count, payer mix, travel patterns, and competitors.
Payer mix & revenue economics
Aging markets increase Medicare exposure and reduce commercial weight. Stress-test capital decisions under fee-for-service Medicare, Medicare Advantage, dual eligibility, and value-based contracts. A service can be clinically necessary yet financially fragile if volume is dispersed or transportation reduces completion.
Capital allocation
Adopt a portfolio approach: centers of excellence where volume justifies them; lower-cost access nodes, mobile assets, tele-specialty, and home-connected infrastructure where it does not. Compare the cost of adding a site with the cost of not adding access, including delayed presentation, leakage, transfers, and lost trust.
Clinical operating model
Distribute geriatric capability across the system: medication reconciliation, delirium prevention, fall-risk management, cognitive and functional screening, sensory accommodation, caregiver communication, goals-of-care discussions, and safe transitions, with age-sensitive workflows in EDs, imaging, clinics, and call centers.
Emergency preparedness & climate resilience
Older adults are disproportionately vulnerable during heat events, severe weather, wildfire smoke, flooding, outages, and evacuations. Integrate aging maps into evacuation assumptions, backup power prioritization, home-health registries, and coordination with pharmacies, dialysis, DME suppliers, and transit.
Workforce resilience
Use cross-training, regional staffing, academic partnerships, apprenticeships, retention analytics, and workflow automation early in markets where the working-age base is contracting.
Market archetypes for differentiated strategy
Select an archetype to view its demographic-access profile and strategic posture.
Executive Aging Readiness Index (EARI)
The EARI is a structured governance tool, not a validated epidemiologic instrument. It helps organizations compare service areas, identify data gaps, and prioritize deeper analysis. Calculate it at the county, ZIP code, or service-area level and refresh annually. Each component is standardized to a common 0 to 100 risk scale; higher scores indicate greater strategic urgency.
Interpretation bands
| Score | Interpretation | Governance response |
|---|---|---|
| 0 to 29 | Low immediate pressure | Maintain surveillance; validate fast-growing submarkets. |
| 30 to 49 | Emerging pressure | Develop targeted access and workforce plans; incorporate into capital review. |
| 50 to 69 | High pressure | Assign an executive owner; implement a market-specific operating model and a quarterly dashboard. |
| 70 to 100 | Critical mismatch | Initiate cross-sector intervention, access stabilization, and board-level monitoring. |
Test the index against local outcomes: avoidable emergency utilization, referral leakage, appointment completion, transfer delays, readmissions, home-health acceptance, length of stay, caregiver strain, and patient experience. Adjust weighting to mission and service mix; a rural critical-access hospital, an academic referral center, a Medicare Advantage plan, and a county public-health department will not assign identical weights. The value of the EARI lies in disciplined comparison and transparent decision logic, not in a universal score.
Strategic action agenda and executive dashboard
The agenda advances across three horizons, from an aging intelligence layer and market segmentation in the first six months, through capability and access redesign, to capital alignment and board governance by month 36.
- Create a county-level aging intelligence layer. Map older-adult count, percentage, five-year growth, disability, poverty, travel time, provider supply, broadband, and current utilization.
- Segment markets into archetypes. Classify service areas as dense mature, hidden-volume metro, remote aging, rapid-growth retirement, or aging-contracting.
- Audit age-sensitive access. Review scheduling, call-center, wayfinding, transport, hearing, vision, mobility, digital, and caregiver barriers.
- Build geriatric capability across service lines. Standardize medication, delirium, fall, cognition, sensory, caregiver, and transition workflows.
- Redesign distributed access. Deploy rotating specialty clinics, mobile services, remote interpretation, tele-specialty, community paramedicine, and home-based care where appropriate.
- Establish workforce resilience plans. Use cross-training, regional staffing, academic partnerships, apprenticeships, retention analytics, and workflow automation.
- Align capital and partnerships. Prioritize investments based on EARI scores, service-line economics, community benefits, and cross-sector partnerships.
- Integrate aging into governance. Report market-level access, quality, workforce, and financial measures to executive leadership and the board.
Board-level executive dashboard: twelve domains
| Domain | Indicator | Board-level specification |
|---|---|---|
| Demand | Adults 65+, 75+, and 85+ | Count, share, five-year growth, and forecast by service area |
| Access | Median travel time | Primary care, emergency, oncology, imaging, rehabilitation, home health |
| Completion | Age-specific appointment completion | No-show, cancellation, authorization delay, and referral leakage by distance |
| Workforce | Vacancy and turnover | Critical roles, time to fill, clinician age profile, regional labor supply |
| Capacity | Supply per 1,000 older residents | Home health, hospice, long-term care, pharmacy, primary and specialty care |
| Quality | Age-specific outcomes | Falls, delirium, readmissions, medication events, transition failures, avoidable ED use |
| Digital | Assisted digital access | Portal activation, telehealth completion, telephone fallback, digital navigation use |
| Equity | Access stratification | Rurality, disability, poverty, living alone, language, broadband, transportation |
| Experience | Older adult and caregiver experience | Ease of scheduling, communication, navigation, transport, care coordination |
| Finance | Contribution and sustainability | Medicare and Medicare Advantage mix, denial rate, cost to serve, service-line margin |
| Community | Cross-sector connectivity | Closed-loop referrals to aging, transport, food, housing, and social-support services |
| Preparedness | High-risk older adults | Power-dependent equipment, evacuation assistance, home-health registry coverage |
Eight decision principles
- Measure geography at the level at which patients experience access: drive time, referral networks, and ZIP-code patterns may be more operationally accurate than county boundaries.
- Separate proportional burden from absolute volume; report both on every dashboard.
- Treat transportation, broadband, and caregiver capacity as components of clinical access, not external social issues.
- Build geriatric capability into standard operations; specialty consultation cannot substitute for age-sensitive care across the enterprise.
- Use distributed models when density is insufficient for fixed-site duplication.
- Evaluate financial sustainability and community necessity together; the absence of a positive margin does not eliminate strategic or mission value, but it requires explicit subsidy and governance.
- Monitor trend, not only level; rapid change can create more risk than a stable, high-aging market with mature infrastructure.
- Design with older adults and caregivers; co-design reduces usability failures that conventional review may not detect.
Appendix A: executive discussion questions
- Which counties in our service area have the highest older-adult concentration, and which have the highest absolute older-adult count?
- Where will the 75-and-older and 85-and-older populations grow fastest during the next five and ten years?
- Which service lines have the largest mismatch between projected demand and local capacity?
- How much of our referral leakage is explained by travel time, transportation, scheduling, or authorization?
- Which older patients lack a reliable digital, telephone, or caregiver-supported access pathway?
- Where is our workforce most exposed to working-age population decline and retirement risk?
- Which services should be centralized for quality and scale, and which must be distributed for access?
- What cross-sector partnerships are necessary to support aging in place?
- How will emergency preparedness change in counties with a high share of mobility-limited or power-dependent residents?
- What aging-readiness measures should appear on the board dashboard each quarter?
Limitations, research priorities, and conclusion
Limitations
- The map displays percentage categories rather than exact values or absolute counts.
- County averages can conceal within-county variation, including remote rural communities inside metropolitan counties and urbanized areas inside nonmetropolitan counties.
- ACS five-year estimates smooth temporal change and carry sampling error, particularly in smaller counties.
- Metropolitan classification is an administrative construct that does not fully measure travel burden, road conditions, terrain, or cross-state referral patterns.
- The evidence synthesis combines descriptive data, observational research, systematic reviews, and local needs assessments; it does not establish that population aging alone causes service shortages or adverse outcomes.
- Age 65 is a policy threshold, not a uniform biological state. Health status, disability, income, race and ethnicity, language, housing, family structure, veteran status, and migration history vary substantially within the older population. Planning should avoid age-based stereotyping.
Priority research questions
- Which county and service-area combinations show the largest mismatch between older-adult growth and aging-related service supply?
- How do rural hospital closure, conversion, and service-line reduction affect older-adult mortality, disability, transfer time, and caregiver burden?
- Which distributed care models produce sustainable access at low population density?
- How should transportation and broadband be incorporated into healthcare capacity standards?
- What county-level indicators best predict unmet home-health, hospice, rehabilitation, and long-term-care need?
- How can organizations distinguish healthy retirement in-migration from aging associated with population loss and economic contraction?
- Which workforce interventions have the strongest retention effect in high-dependency rural counties?
- How should age-friendly design standards be measured across emergency, imaging, ambulatory, digital, and home-based care?
Conclusion
The map of the U.S. population age 65 and older is more than a demographic illustration. It is a strategic warning about geographic mismatch. Population aging is advancing nationally, but its consequences are produced locally. In many rural counties, high age concentration intersects with working-age decline, limited transportation, fragile hospitals, reduced eldercare capacity, digital barriers, and insufficient specialty access. In metropolitan markets, large absolute older populations can remain hidden behind moderate percentages. Both conditions require leadership attention, but they require different operating models.
The most important executive shift is conceptual: aging should be treated as a market architecture variable. It influences demand, payer mix, workforce, capital, technology, quality, community benefit, and emergency preparedness. Organizations that combine geospatial intelligence with age-sensitive clinical design can identify where centralized scale is appropriate, where distributed access is essential, and where cross-sector partnerships are necessary for basic reliability. The demographic transition is already visible. The remaining question is whether operating models will adapt at the same speed.
References
Filter by evidence domain. All links open the original source or DOI.