# Older adults nursing homes Market Research Report - Europe

**Generated on:** 2026-09-10 15:21:47.122560  
**Industry:** Older adults nursing homes  
**Geography:** Europe  
**Details:** I am deep diving into the clusters of older adults residents in nursing homes across europe. I would like to know in particular how many are alzheimer patients, how many are "high complexity" patients (terminally ill, bedridden). in the alzheimer or high complexity I would not include those with behavioral disturbs , that would fall under the "all others" category. if any further breakdown of the "all others" is available, it's welcome

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# Europe's Nursing-Home Acuity Map: A Behavior-First Market Model

## Executive Summary

- **Modeled Resident Base**: The EU27 had approximately **3.6M beds** in nursing and other residential long-term-care facilities in 2024 [1]. After applying explicit occupancy and older-person assumptions and adding the UK's **400,170 older residents**, the core-Europe planning denominator is approximately **3.22M residents**, with a **2.90M-3.55M** sensitivity range [73] -> Use the range for market planning; do not describe 3.22M as a registry count.

- **Alzheimer Cluster Without Behavioral Disturbance**: The base model identifies approximately **0.75M residents**, or **23.4%**, with Alzheimer disease and no qualifying behavioral disturbance. The scenario range is **0.44M-1.22M** -> Treat this as the addressable behavior-neutral Alzheimer cluster, distinct from gross Alzheimer prevalence.

- **High-Complexity Cluster Without Alzheimer or Behavioral Disturbance**: The base estimate is approximately **0.32M residents**, or **9.8%**, with terminal, bedbound, or comparably high physical-acuity needs after Alzheimer and behavioral cases are removed. The scenario range is **0.17M-0.41M** -> Validate this segment locally because Europe has no harmonized bedbound or terminal-status census.

- **All-Others Cluster Dominates**: The residual is approximately **2.15M residents**, or **66.8%**, in the base case. It comprises about **0.89M behavior-positive residents**, **0.54M residents with non-Alzheimer dementia and no qualifying behavior**, and **0.72M lower-acuity medical, disability, and frailty residents** -> Do not operate All Others as one undifferentiated care pathway.

- **Behavior Definition Changes the Market**: A multinational nursing-home cohort found behavioral symptoms in **27.5%** of residents, while reviews report at least one neuropsychiatric symptom in **70%-95%** of dementia cases [16][9] -> Define behavioral disturbance narrowly as clinically significant agitation, aggression, psychosis, wandering, or comparable conduct requiring a specialized care response; otherwise almost every dementia resident could be excluded.

- **Dependency Is Not the Same as High Complexity**: In the multinational SHELTER cohort, **39.8%** of residents were ADL-dependent, while **55%** of French EHPAD residents were in the severe GIR 1-2 dependency categories [16][45] -> Do not equate either statistic with terminal or bedridden status; both include residents outside the requested cluster.

- **Geography Overwhelms the European Average**: Long-term-care facility capacity ranged from **1,390 beds per 100,000 inhabitants in the Netherlands** to **20 in Greece**, with Bulgaria at 26 and Portugal at 94 [1] -> Size opportunities country by country rather than allocating the European estimate by population alone.

- **Demand Rises Into a Labor Constraint**: EU long-term-care expenditure is projected to rise from **1.7% of GDP in 2019 to 2.5% in 2050**, while difficult working conditions and low wages are already creating labor shortages [55] -> Prioritize labor productivity, clinical workforce availability, and acuity-adjusted reimbursement before adding beds.

- **Large Groups Do Not Eliminate Fragmentation**: Clariane reported **61,789 beds across 656 European facilities** in 2026, while emeis operates more than 1,000 multi-service sites worldwide [65][18]. Yet the UK's ten largest independent older-care operators held only **18.9%** of independent beds in 2024 [73] -> A European strategy still requires local operator partnerships and regional consolidation.

## Scope and Estimation Method: A Behavior-First Waterfall

No European statistical system currently publishes a resident-level count that simultaneously identifies Alzheimer disease, terminal or bedbound status, and behavioral disturbance. European sources also mix nursing homes, residential homes, long-stay hospital units, assisted facilities, beds, and occupied residents. Therefore, the requested clusters have to be modeled rather than presented as observed official totals.

The geographic base is **core Europe: EU27 plus the United Kingdom**. It excludes Norway, Switzerland and other non-EU countries because comparable current resident denominators were unavailable. Consequently, the model is slightly narrower than geographic Europe, but more defensible than applying inconsistent national statistics to every country.

The segmentation waterfall makes the categories mutually exclusive:

1. Assign every resident with qualifying behavioral disturbance to **All Others**, regardless of diagnosis or physical acuity.
2. Among behavior-negative residents, assign Alzheimer disease cases to **Alzheimer Without Behavior**.
3. Among the remaining residents, assign documented terminal, bedbound, or equivalent very-high physical-acuity cases to **High Complexity Without Alzheimer or Behavior**.
4. Assign the residual to **All Others**.

"Behavioral disturbance" should mean clinically consequential agitation, aggression, psychosis, wandering, disinhibition, or comparable conduct that changes staffing, unit design, or safety protocols. Depression, apathy, cognitive impairment alone, and ordinary care resistance should not automatically trigger the exclusion. This operational definition matters because agitation estimates in Alzheimer disease commonly range from **30% to 50%**, while much broader neuropsychiatric-symptom definitions produce far higher rates [50][9].

"High complexity" should require one of the following: documented terminal or active palliative status; bedbound status; total or near-total dependence with a comparable nursing burden; or a combination such as artificial feeding, advanced pressure-injury care, complex respiratory support, or two-person assistance for nearly all transfers. The category should not automatically include everyone with an ADL limitation.

### Denominator construction

| Component | Low | Base | High | Evidence or assumption |
|---|---:|---:|---:|---|
| EU27 facility beds | 3.60M | 3.60M | 3.60M | Observed 2024 capacity [1] |
| Assumed occupied share | 87% | 87% | 92% | Model assumption; no harmonized EU occupancy statistic |
| Assumed older-adult share | 80% | 90% | 95% | Model assumption because EU capacity includes broader long-term care |
| Modeled EU27 older residents | 2.51M | 2.82M | 3.15M | Calculation |
| UK older residents | 0.40M | 0.40M | 0.40M | Observed 2024 estimate [73] |
| **Core-Europe resident base** | **2.90M** | **3.22M** | **3.55M** | Rounded total |

Eurostat defines the institutions as nursing and other residential-care facilities providing accommodation and long-term care as a package, with their beds recorded separately from hospital beds [1]. The figure is capacity, not confirmed occupied older-person places, which is why the adjustment is necessary.

**Decision-ready insight:** Use **3.22M** for central planning, **2.90M** for downside capacity planning, and **3.55M** for upside planning. Any investment decision should replace the assumptions with country licensing, occupancy, age, and case-mix data.

## Modeled Clusters: 0.75M Alzheimer, 0.32M High Complexity, 2.15M Others

The clinical evidence supports a range rather than a single prevalence. SHELTER observed cognitive impairment in **68.0%** of 4,156 residents across 57 nursing homes in seven EU countries and Israel, but the facilities were not randomly selected and the sample was not designed to represent every national market [16]. In France, Alzheimer disease or a related disorder affected approximately **268,200 residents**, or **38%** of people in older-person facilities, while a study of deceased nursing-home residents found dementia prevalence of **60%-83%** across six European countries [45][56].

The model therefore uses dementia shares of 50%, 60%, and 70%. Alzheimer disease is assumed to represent 60%-70% of dementia, consistent with the general clinical estimate that it may contribute to **60%-70%** of dementia cases [74]. This is a disease-mix assumption, not a nursing-home-specific European measurement.

### Mutually exclusive results

| Model input or result | Low | Base | High |
|---|---:|---:|---:|
| Total modeled residents | 2.90M | 3.22M | 3.55M |
| Dementia share | 50% | 60% | 70% |
| Alzheimer share of dementia | 60% | 65% | 70% |
| Alzheimer residents with qualifying behavior | 50% | 40% | 30% |
| High-complexity rate among remaining eligible residents | 10% | 20% | 30% |
| **Alzheimer without behavior** | **0.44M / 15.0%** | **0.75M / 23.4%** | **1.22M / 34.3%** |
| **High complexity without Alzheimer or behavior** | **0.17M / 5.8%** | **0.32M / 9.8%** | **0.41M / 11.5%** |
| **All Others** | **2.30M / 79.3%** | **2.15M / 66.8%** | **1.93M / 54.2%** |

The Alzheimer result is most sensitive to how narrowly behavior is defined. The high-complexity estimate is less wide in absolute terms because Alzheimer and behavioral cases have already been removed before applying the physical-acuity assumption.

### Base-case All Others breakdown

| All Others subcluster | Residents | Share of all residents | Service implication |
|---|---:|---:|---|
| Behavior-positive, any diagnosis | **0.89M** | **27.5%** | Secure environments, behavior-trained staffing, psychiatric review, medication governance |
| Non-Alzheimer dementia without qualifying behavior | **0.54M** | **16.9%** | Cognitive support for vascular, Lewy body, frontotemporal and mixed dementias |
| Other medical disability and frailty, below high-complexity threshold | **0.72M** | **22.4%** | General nursing, rehabilitation, chronic-disease and mobility support |
| **All Others total** | **2.15M** | **66.8%** | Multiple pathways required |

This breakdown is a modeled allocation, not an epidemiological registry. In particular, the non-Alzheimer dementia number inherits the dementia and Alzheimer-mix assumptions.

SHELTER provides additional operating overlays that should not be added together as resident clusters: **41.5%** required ADL assistance, **39.8%** were dependent, **32.0%** had depression, **36.0%** had pain, **18.6%** had falls, **10.4%** had pressure ulcers, and **73.5%** had urinary incontinence [16]. These conditions can occur in any modeled cluster and directly affect staffing and consumable demand.

### Case study: France shows why dependency is not bedbound status

At the end of 2023, France had approximately **697,000 people** in or living in an older-person facility, and half were older than 87 years and 11 months [45]. In EHPAD facilities, **55%** were GIR 1 or GIR 2, indicating severe loss of autonomy [45].

Using the 55% figure as a terminal or bedridden estimate would materially overstate the requested cluster. GIR 1-2 captures severe dependency but can include mobile residents with cognitive impairment, including Alzheimer disease and behavioral disturbance. France therefore supports the use of severe dependency as an upper-bound signal, not as the high-complexity segment itself.

**Decision-ready insight:** The central estimates are **0.75M Alzheimer without behavior**, **0.32M high complexity**, and **2.15M All Others**. For country diligence, require resident-level cross-tabs of diagnosis, behavior status, mobility, ADL dependence, palliative status, and feeding or respiratory support.

## Country Variation: A 70-Fold Netherlands-to-Greece Capacity Gap

European averages conceal radically different institutional-care models. The Netherlands reported **1,390 nursing and residential long-term-care beds per 100,000 inhabitants** in 2024, compared with **20 in Greece**, **26 in Bulgaria**, and **94 in Portugal** [1]. From 2014 to 2024, capacity rates increased in 17 EU countries with available data, while the largest decreases occurred in Denmark, Sweden, Latvia, and the Netherlands [1].

| Geography | Latest usable scale indicator | Clinical indicator | Comparability limitation |
|---|---|---|---|
| EU27 | Approximately **3.6M facility beds**, 2024 [1] | No harmonized cluster data | Includes nursing and other residential LTC; capacity rather than residents |
| France | Approximately **697,000 people** in older-person facilities, end-2023 [45] | **38%** Alzheimer or related disease across covered facilities; **55%** of EHPAD residents in GIR 1-2 [45] | Related dementias are combined with Alzheimer; GIR is broader than bedbound status |
| Germany | Approximately **0.80M institutional care recipients** in 2023 [48] | A separate claims study reported dementia prevalence of **51.8%** among nursing-home residents [75] | Institutional-care definition and age coverage differ from France and the UK |
| United Kingdom | **466,559 registered beds** and **400,170 older/dementia residents**, 2024 [73] | **153,800** independent-sector residents received dementia care at end-2024 [76] | Dementia-care count excludes public provision and is not Alzheimer-specific |
| Netherlands | **1,390 beds per 100,000**, 2024 [1] | No current harmonized cluster count | High institutional capacity does not directly imply higher Alzheimer prevalence |
| Greece | **20 beds per 100,000**, 2024 [1] | No current harmonized cluster count | Low formal capacity may shift care to households or other settings |

The table should not be used to rank clinical need directly. Low bed supply may represent unmet demand, stronger family-care reliance, home-care substitution, a different legal definition, or all four.

### Case study: The UK combines scale, fragmentation, and payer tension

The UK had an estimated **400,170 older and dementia residents** across **466,559 beds** in 2024 [73]. Its older-person care-home market was worth **GBP 26.2B** at December 2024, with the independent sector representing **GBP 23.8B**, or **91%** [76]. National occupancy was approximately **87%** [76].

Funding creates a second layer of segmentation. In 2024/25, councils paid an estimated average of **GBP 1,225 per week** for nursing care versus **GBP 1,594** for private payers; residential-care averages were **GBP 908** and **GBP 1,278**, respectively [76]. The same clinical resident profile can therefore carry materially different revenue depending on payer.

**Decision-ready insight:** Build country-specific models with local bed definitions, occupancy, public-versus-private funding, and home-care substitution. A simple population-weighted allocation of the 3.22M European base will be misleading.

## Demand, Economics, and Workforce Through 2050

Long-term care is the EU's fastest-growing area of social expenditure. Spending is projected to increase from **1.7% of GDP in 2019 to 2.5% in 2050**, with substantial national variation [55]. At the same time, the EU share of people aged 80 or above is projected to rise from **6.2% in 2025 to 15.3% in 2100** [77]. These trends expand the need pool, but home care, supported living, prevention, and informal care will determine how much converts into nursing-home occupancy.

The binding constraint is labor. The European Commission identifies difficult working conditions and low wages as causes of care-worker shortages and expects those shortages to worsen [55]. Across the wider health workforce, 20 EU countries reported doctor shortages and 15 reported nurse shortages in 2022-2023; the estimated shortage of doctors, nurses and midwives was approximately **1.2M** in 2022 [21]. More than one-third of doctors and one-quarter of nurses were older than 55, while EU nursing-graduate numbers grew only **0.5% annually** from 2012 to 2022 [21]. These are health-system figures, not nursing-home-only counts, but they indicate the labor market from which homes recruit.

Property capital has repriced. Continental European nursing-home property investment reached **EUR 2.3B in 2024**, down **10%** year over year. Including a record UK volume of almost EUR 3.7B, European investment reached approximately **EUR 6.0B** [36]. Prime yields stabilized at approximately **5.00%-5.75%**, after expanding by 100-150 basis points from 2022 [36].

### Case study: Demand growth does not guarantee operator returns

The UK's independent older-care market grew **9.8%** in value, or GBP 1.963B, in 2024, but LaingBuisson attributed the uplift primarily to higher fees and rising labor and employer costs rather than exceptional volume growth [76]. Independent resident demand grew only **1.3%** [76].

This distinction matters across Europe. Demographic demand can raise nominal revenue while labor, food, utilities, financing, and compliance costs absorb the gain. Operators therefore need reimbursement indexation and workforce productivity, not merely higher occupancy.

**Decision-ready insight:** Underwrite separately for volume, fee inflation, labor inflation, occupancy, acuity mix, and property financing. The strongest opportunities will combine unmet local demand with reimbursement that recognizes higher clinical complexity.

## Clariane and emeis Lead, but Local Operators Still Matter

Europe combines multinational groups, national chains, nonprofit organizations, municipalities, and thousands of small operators. Metrics are not directly comparable because some companies report nursing-home beds while others report group-wide clinics, home care, assisted living, and rehabilitation.

| Operator or group | Disclosed scale | Geographic or service footprint | Interpretation |
|---|---|---|---|
| Clariane | **656 European facilities and 61,789 beds** supporting older people, June 2026 [65] | European long-term-care presence; Korian is a principal care-home brand | One of the clearest current nursing-home capacity disclosures |
| emeis | More than **1,000 sites** in about 20 countries; approximately **83,500 employees**, 56% care staff; **EUR 5.636B** 2024 revenue [18] | Nursing homes, home care, assisted living, rehabilitation and mental-health clinics [18] | Figures are group-wide, not nursing-home-only |
| Attendo | Finland and Scandinavia; approximately **70% of sales** from elderly care [71] | Nursing homes and home care, plus other care services | Major Nordic operator; disclosed mix is more comparable than an unverified bed count |
| Colisee | Nursing-home presence in France, Belgium, Spain, Italy and China [72] | Elderly care across four European countries plus China | Private cross-border platform; current comparable bed count was not available |
| UK leading operators | HC-One: **17,060 beds**; Barchester: **15,899**; Care UK: **10,810**; Avery: **8,154**; Bupa UK Care Services: **6,748** [73] | Predominantly UK older-person care | Demonstrates national scale without European concentration |

The UK illustrates continued fragmentation: the ten largest independent providers controlled only **18.9%** of registered independent-sector beds in October 2024 [73]. HC-One alone had only **3.9%** [73].

### Case study: emeis scale brings diversification and measurement risk

emeis serves close to **280,000 patients and residents annually**, but its network spans five complementary activities rather than nursing homes alone [18]. Its group revenue and workforce demonstrate purchasing and recruitment scale, yet they cannot be used to infer nursing-home revenue per resident or bed occupancy.

For investors and suppliers, the mechanism is two-sided. Multiservice groups can channel residents across home care, assisted living, rehabilitation, and nursing homes, but consolidated reporting can obscure the economics of the precise resident cluster being targeted.

**Decision-ready insight:** Use multinational groups for strategic partnerships and procurement scale, but map beds, occupancy, payer mix, clinical case mix, and quality outcomes at the country and facility level.

## Six Risks That Can Overturn the Base Case

| Risk | Evidence or mechanism | Commercial consequence | Mitigation |
|---|---|---|---|
| Classification and double counting | Alzheimer, dependency, terminal status and behavior overlap | Addressable clusters can be overstated by hundreds of thousands | Use the behavior-first waterfall and resident-level cross-tabs |
| Behavioral-definition risk | Any NPS affects 70%-95% in much of the literature, versus 27.5% behavioral symptoms in SHELTER [9][16] | A broad definition can collapse the Alzheimer cluster | Define only behavior that changes staffing, environment or safety protocol |
| High-complexity measurement risk | ADL dependence was 39.8%, but this is not equivalent to terminal or bedbound status [16] | Staffing and equipment demand may be materially misestimated | Collect bed mobility, transfer assistance, feeding, pressure injury and palliative indicators |
| Workforce shortage | Low pay and difficult conditions impair recruitment and retention [55] | Closed beds, agency cost, quality events and slower expansion | Secure workforce pipelines before committing real estate |
| Reimbursement and affordability | Access is limited by service shortages, weak cost protection and uneven quality [55] | Need may not convert into funded occupancy | Model public, insurance and private-pay channels separately |
| Financing and property risk | Prime yields repriced to 5.00%-5.75% after a 100-150 basis-point expansion [36] | Higher capital costs can overwhelm fee growth | Stress-test rent cover, interest costs and sale-and-leaseback terms |
| Quality and reputation | High-acuity and behavior-positive residents require stronger governance and staffing | Failures can trigger sanctions, litigation and loss of referrals | Track staffing, falls, pressure injuries, antipsychotic use and complaints at facility level |
| Geographic comparability | Bed density ranges from 20 to 1,390 per 100,000 [1] | European averages can direct capital to the wrong markets | Build national and regional supply-demand maps |

A further clinical risk is underestimating end-of-life demand. In the PACE study of 1,707 deceased residents across Belgium, Finland, Italy, the Netherlands, Poland and England, **80%-94% died in the nursing home** [56]. However, because this was a deceased-resident study, it cannot be converted into point prevalence of terminally ill residents.

**Decision-ready insight:** The highest-priority diligence request is not another aggregate prevalence study. It is a standardized facility extract containing diagnosis, behavior, mobility, ADL, palliative status, occupancy, staffing hours, payer, and length of stay.

## Synthesis: Four Care Models, Four Different Economics

The requested segmentation reveals that "older adults nursing homes" is not one market. It contains at least four operating models with different clinical mechanisms, staffing, evidence requirements, and revenue risks.

| Care model | Primary mechanism | Base-case scope | Staffing and infrastructure | Main trade-off | Evidence confidence |
|---|---|---:|---|---|---|
| Behavior-neutral Alzheimer care | Structured routines, cognitive support, familiar environment | **0.75M** | Dementia-trained care staff, memory design, moderate nursing intensity | Behavior may emerge over time and move residents into another pathway | Medium-low; modeled from dementia, Alzheimer-mix and behavior assumptions |
| High-complexity physical care | Continuous nursing, pressure-injury prevention, transfers, feeding and palliative support | **0.32M** | High registered-nurse intensity, hoists, specialist mattresses, end-of-life skills | Highest cost per resident and greatest workforce exposure | Low; no harmonized Europe bedbound or terminal census |
| Behavior-specialist care | Safety, de-escalation, psychiatric review and environmental control | **0.89M** within All Others | Higher observation, secure design, specialist behavior training | Expensive staffing and risk of inappropriate pharmacological control | Medium; anchored to SHELTER's 27.5% overall behavioral rate |
| Other dementia and general frailty care | Chronic-disease management, ADL support and rehabilitation | **1.26M** within All Others | Mixed nursing and care-assistant model | Broad category can hide very different staffing requirements | Medium-low; residual model supported by clinical overlays |

The non-obvious tension is that tighter exclusions make the target clusters clinically cleaner but commercially smaller. A provider focused only on Alzheimer residents without behavioral disturbance excludes a substantial set of dementia residents who may need the most specialized care. Conversely, defining behavior too broadly pushes routine depression, apathy, or manageable care resistance into an expensive specialist pathway.

The second tension is between physical dependency and terminal status. France's 55% GIR 1-2 share and SHELTER's 39.8% ADL-dependent share show extensive dependency, but the PACE evidence shows that end-of-life measurement concerns a much narrower time window [45][16][56]. A high-complexity strategy should therefore be based on observable nursing tasks rather than a broad dependency score alone.

The third tension is scale versus locality. Clariane and emeis provide multinational reach, while the UK's leading ten operators together hold less than one-fifth of independent capacity [65][18][73]. European procurement and technology can scale, but reimbursement, staffing credentials, bed licensing, and referral networks remain national or regional.

### Final market-sizing conclusion

For **EU27 plus the UK**, the best defensible planning view is:

- **Total older nursing and residential-care residents:** approximately **3.22M**, sensitivity range **2.90M-3.55M**.
- **Alzheimer disease without qualifying behavioral disturbance:** approximately **0.75M**, sensitivity range **0.44M-1.22M**.
- **Terminal, bedbound, or equivalent high-complexity residents without Alzheimer or qualifying behavior:** approximately **0.32M**, sensitivity range **0.17M-0.41M**.
- **All Others:** approximately **2.15M**, sensitivity range **1.93M-2.30M**.
- **Base-case All Others breakdown:** behavior-positive **0.89M**; non-Alzheimer dementia without qualifying behavior **0.54M**; other medical disability and frailty **0.72M**.

These numbers are suitable for strategic market sizing, not clinical commissioning or facility staffing. The next refinement should be a country-by-country resident dataset using a common behavior definition and direct measures of bedbound, terminal and palliative status.

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