Occupancy and space planning

Occupancy planning is the strategic discipline of matching an organization's workforce demand for space to its real estate supply by analyzing data on headcount, utilization patterns, work styles, and growth projections to determine how much space is needed, where, and in what configuration.

In a hybrid workplace environment, occupancy planning has moved from a periodic space audit to a continuous portfolio management function. JLL's Global Occupancy Planning Benchmark Report , drawing on data from nearly 100 organizations managing hundreds of millions of square feet — shows that global office utilization remains well below the targets set by most organizations. This persistent gap represents billions of dollars in underutilized real estate within corporate portfolios worldwide.

Occupancy planning addresses this gap through four core functions:

• Demand analysis: Forecasting how many people need space, when, and what types of space they need — factoring in hybrid schedules, growth projections, and seasonal patterns.
• Supply assessment: Mapping available space across a portfolio by type, location, capacity, and condition — identifying both surplus and deficit.
• Scenario modeling: Testing multiple futures (different hybrid policies, headcount trajectories, consolidation options) to quantify the financial and operational impact of each.
• Implementation planning: Translating analysis into actionable recommendations — move plans, reconfiguration designs, lease decisions, and change management strategies.

JLL manages occupancy planning across hundreds of millions of square feet globally, giving clients access to the industry's largest benchmarking dataset and a methodology calibrated against hundreds of peer organizations.

Occupancy measures how many people are assigned to a space (capacity allocation). Utilization measures how much of that space is actively used at a given time. The distinction is critical because the two metrics often tell very different stories about portfolio performance.

A building can be 100% occupied (every seat assigned) yet only 40% utilized (fewer than half those seats are in use on any given day). JLL's Global Occupancy Planning Benchmark Report found that global office utilization averaged 54%—meaning organizations are actively using just over half the space they pay for. The gap between allocated and utilized space represents the single largest cost optimization opportunity in most corporate real estate portfolios.

Leading organizations measure both metrics across multiple dimensions:

• Occupancy rate: Total assigned headcount divided by total seat capacity. JLL benchmark data shows the average office allocation rate now exceeds 111%—meaning more people are assigned than physical seats exist, reflecting the shift to seat-sharing models.
• Utilization rate: Actual presence measured by sensors, badge data, or WiFi analytics against available capacity. JLL data shows Tuesday peaks at 58.6% and Friday drops to 34.5%—a pattern consistent across hundreds of millions of square feet.
• Passive occupancy: Nearly one-third of all desk time is passive occupancy (like personal items on a desk with no person present). Badge data captures entry but not presence, systematically overstating actual utilization by 15–25%.

JLL's occupancy planning methodology integrates multiple data sources—sensors, badge systems, booking platforms, WiFi analytics, and HR headcount data—to produce a complete utilization measurement framework that accounts for these measurement gaps.

Portfolio optimization has overtaken cost reduction as the top priority for corporate real estate leaders—according to JLL's Global Occupancy Planning Benchmark Report, organizations now prioritize optimizing space utilization over simply reducing the amount of space.

This shift reflects a maturation of occupancy planning from a cost-reduction exercise to a strategic portfolio management discipline. The key priorities identified across numerous organizations and extensive captured floor space include:

• Portfolio optimization: Aligning real estate holdings to actual workforce demand—identifying which locations to retain, consolidate, repurpose, or exit based on utilization data rather than assumptions.
• Data quality improvement: Only a fraction of organizations rate their occupancy data quality as "excellent," while a substantial rate it as "poor or none." Closing this gap through sensor deployment, system integration, and governance is a prerequisite for every other priority.
• Seat-sharing acceleration: Organizations are aiming for higher desk-sharing ratios, with many pursuing even more ambitious targets—this requires robust booking systems, workplace design changes, and employee change management.
• Sustainability integration: The vast majority of organizations now integrate sustainability targets into CRE portfolio strategy, connecting occupancy planning directly to Scope 1/2 emissions reduction and ESG reporting.
• Space-per-person reduction: The average space allocation per person is decreasing as organizations invest in higher-quality, shared spaces instead of larger individual spaces.

Hybrid work has made traditional space allocation models obsolete by introducing day-of-week variability, role-based flexibility, and a structural mismatch between assigned capacity and actual presence that requires continuous, data-driven occupancy planning.

JLL's Global Occupancy Planning Benchmark Report quantifies the scale of this shift:

• Assigned seating collapsed: The share of organizations using assigned (dedicated) seating dropped significantly in just a short period of time — the fastest structural change in workplace allocation in decades.
• Weekly patterns are extreme: On Tuesdays, occupancy peaks, while on Fridays it drops significantly — meaning organizations must design for peak-day capacity while paying for space that sits largely empty two to three days per week.
• Allocation exceeds capacity: Average office allocation rates now exceed the number of physical seats at the office. This works only with reliable seat-sharing systems and accurate occupancy data.
• Space types are shifting: Organizations are converting individual workstations to collaboration zones, focus rooms, and flexible neighborhoods that accommodate varying team sizes and work modes throughout the week.

The result is that occupancy planning has shifted from a periodic exercise (conducted every 3–5 years during a lease event) to a continuous portfolio management function. JLL's occupancy planning practice provides ongoing monitoring, scenario modeling, and strategic recommendations that adapt as hybrid policies, headcount, and business conditions evolve.

JLL's Global Occupancy Planning Benchmark Report —the industry's most comprehensive dataset across numerous organizations—provides the current benchmarks: average space per person is declining, and desk-sharing ratios are becoming more ambitious, with many organizations pursuing even higher targets.

Key benchmarks from JLL's data:

• Space per person: The current average is about 15 m² per person, with a target of around 12 m². This reduction doesn't necessarily mean smaller individual workstations—it reflects the shift from assigned desks to shared, multifunctional spaces that serve more employees per square meter.
• Desk sharing ratio: Organizations are aiming for higher desk sharing ratios, with many pursuing even more ambitious targets. Higher ratios require reliable booking systems, clean desk policies, and adequate storage options.
• Utilization target: Most organizations set high utilization targets, although actual utilization globally is significantly lower—a gap that represents the optimization opportunity.

Benchmarks vary significantly by industry (financial services typically runs denser than life sciences), geography (Asia-Pacific is denser than North America), and work type (lab and trading floor space cannot be shared the same way as administrative office space). JLL's benchmarking practice calibrates recommendations to the client's specific industry, geography, and operational requirements rather than applying universal averages.

Most organizations are paying for nearly twice the office space their workforce actively uses. With global utilization averaging 54% against a 79% target, the financial exposure is significant: a 500,000-square-foot portfolio at $60 per square foot represents $7.5 million in annual excess cost for space that sits empty most of the time.

The cost of underutilization extends beyond rent:

• Operating expenses: HVAC, lighting, cleaning, and security costs continue for unoccupied floors and buildings. These operating costs typically represent 30–40% of total occupancy cost and do not scale down linearly with lower utilization.
• Capital misallocation: Every dollar tied up in underutilized real estate is a dollar unavailable for strategic investments — technology, talent, growth initiatives, or sustainability upgrades.
• Opportunity cost: Lease obligations on excess space create inflexibility. Organizations locked into long-term leases on underutilized buildings cannot respond quickly to headcount changes, market shifts, or strategic pivots.

Many organizations are actively reducing their real estate portfolios based on occupancy insights. A leading global financial services firm partnered with JLL to integrate occupancy, lease, and transaction data across its global portfolio—achieving $120 million in savings by optimizing its real estate footprint and relocating its corporate headquarters from a nearly 50,000-square-meter building to a prime building of about half the size.

JLL's occupancy planning methodology combines the industry's largest proprietary benchmark dataset (880 million+ square feet, 99 organizations), a multi-layered technology stack (JLL Azara, OSIS, Smart Building Platform), and a structured five-phase analytical process to produce portfolio recommendations calibrated against real-world peer data rather than generic assumptions.

JLL's methodology follows five phases:

• Multi-source data collection: JLL integrates badge, sensor, WiFi, booking, and HR data to build a complete utilization picture — avoiding the single-source inaccuracies that produce misleading conclusions.
• AI-driven pattern analysis: JLL Azara applies machine learning to identify utilization patterns, anomalies, and trends across time periods, space types, and organizational units.
• Proprietary benchmarking: Every finding is calibrated against JLL's Global Occupancy Planning Benchmark dataset — enabling clients to see exactly how their utilization, density, and seat-sharing compare to industry peers.
• Scenario modeling: JLL models multiple portfolio futures (different hybrid policies, growth scenarios, consolidation options) with financial impact analysis for each — giving decision-makers a menu of options rather than a single recommendation.
• Implementation roadmap: Recommendations translate into specific actions: move plans, reconfiguration designs, lease decisions, technology deployments, and change management programs with timelines and accountability.

JLL uses occupancy data as the analytical foundation for the most consequential financial decisions in a CRE portfolio: which locations to retain, consolidate, or exit; when and how to renegotiate leases; and where to expand or relocate based on actual workforce demand rather than assumptions.

• Portfolio right-sizing: Utilization data identifies which buildings and floors are consistently underutilized, quantifying the financial case for consolidation. JLL's scenario modeling calculates the net financial impact of different consolidation options, including moving costs, lease termination fees, and ongoing savings.
• Lease renegotiation: Occupancy data provides leverage in lease negotiations — demonstrating to landlords that a tenant's actual space needs have changed, supporting right-sizing requests, and informing decisions about renewal, downsizing, or relocation.
• Location strategy: Occupancy patterns reveal which locations attract the highest employee attendance, informing hub-and-spoke decisions and geographic expansion strategy.

A leading global financial services firm partnered with JLL to integrate occupancy, lease, and transaction data across its global portfolio—achieving $120 million in savings by optimizing its real estate footprint and relocating its corporate headquarters from a nearly 50,000-square-meter building to a prime building of about half the size.

JLL uses occupancy data as the analytical foundation for the most consequential financial decisions in a CRE portfolio: which locations to retain, consolidate, or exit; when and how to renegotiate leases; and where to expand or relocate based on actual workforce demand rather than assumptions.

• Portfolio right-sizing: Utilization data identifies which buildings and floors are consistently underutilized, quantifying the financial case for consolidation. JLL's scenario modeling calculates the net financial impact of different consolidation options, including moving costs, lease termination fees, and ongoing savings.
• Lease renegotiation: Occupancy data provides leverage in lease negotiations — demonstrating to landlords that a tenant's actual space needs have changed, supporting right-sizing requests, and informing decisions about renewal, downsizing, or relocation.
• Location strategy: Occupancy patterns reveal which locations attract the highest employee attendance, informing hub-and-spoke decisions and geographic expansion strategy.

A leading global financial services firm partnered with JLL to integrate occupancy, lease, and transaction data across its global portfolio—achieving $120 million in savings by optimizing its real estate footprint and relocating its corporate headquarters from a nearly 50,000-square-meter building to a prime building of about half the size.