Location grade is the single most important factor in Dutch retail investment because it determines nearly every downstream variable that matters to investors: yield, vacancy risk, re-letting potential, and rental income stability. In the Netherlands, the gap between a prime A1 location and a secondary B-location is not a matter of degree — it is a structural divide that separates assets with strong, long-term cash flow from those carrying meaningful obsolescence risk. The sections below unpack each dimension of that divide, from how grades are defined to how they shape due diligence before acquisition.
What separates an A1 location from a B-location in the Netherlands?
An A1 location in the Netherlands is a retail street or zone that consistently attracts the highest footfall, the strongest national and international tenant demand, and commands the market’s top rental levels. A B-location, by contrast, is a secondary position — often adjacent to the prime pitch, or in a smaller city — where footfall is materially lower, tenant demand is thinner, and rental levels are correspondingly weaker.
The distinction is more precise in the Dutch market than in many other European markets. Dutch retail geography is highly structured. Each city has a clearly defined prime retail pitch — the stretch of street where footfall peaks and where the strongest retailers compete for space. In Amsterdam, that means streets like the Kalverstraat and PC Hooftstraat. In Rotterdam, Utrecht, and The Hague, equivalent prime pitches are equally well-defined. Beyond that core, footfall drops off sharply. A unit just two streets away from the prime pitch can functionally be a B-location, even if it looks similar on a map.
What makes this distinction so consequential for investors is that Dutch consumers and retailers alike are highly concentrated. The Netherlands has a dense, urbanised population, but retail spending gravitates toward proven locations. A1 streets attract the international and national retailers that anchor footfall — the tenants that draw consumers specifically to that location. B-locations rely on passing trade that is increasingly captured by e-commerce or redirected to stronger streets. That structural demand gap does not close during downturns; it widens.
How does location grade affect retail property yields in the Netherlands?
Location grade is the primary driver of retail property yields in the Netherlands. Prime A1 retail assets in the strongest Dutch cities trade at significantly lower net initial yields than secondary locations, reflecting the lower risk premium investors attach to stable, high-demand assets. The yield spread between A1 and B-locations in the Dutch retail market can be substantial — often several hundred basis points — and that spread has widened over recent years rather than narrowed.
This yield divergence reflects genuine differences in risk, not just sentiment. A1 locations attract investment-grade tenants on longer leases, generate more predictable rental income, and have deeper buyer pools when assets come to market. All of these factors compress yields. B-locations, by contrast, carry higher vacancy risk, shorter effective lease durations, and a narrower set of prospective buyers — all of which push yields higher to compensate investors for that additional risk.
For international investors evaluating retail investment opportunities in the Netherlands, understanding this yield architecture is essential. A high headline yield on a Dutch retail asset is not automatically attractive — it may simply reflect the market’s assessment that the location carries structural risk. The more important question is whether the yield is appropriate for the specific location grade, tenant quality, and lease structure of the asset in question.
Why do B-locations carry disproportionately high vacancy risk in Dutch retail?
B-locations in the Netherlands carry disproportionately high vacancy risk because tenant demand for secondary retail positions has structurally weakened, and the pool of retailers willing to pay market rents in those locations has shrunk considerably. When a tenant vacates a B-location, re-letting at comparable terms is genuinely difficult — and the period of vacancy can be prolonged, directly eroding investment returns.
Several factors compound this risk. First, the growth of e-commerce has reduced the number of physical stores that retailers need to operate profitably. When retailers rationalise their portfolios, B-locations are the first to be cut. Second, the Dutch planning system has historically supported the development of new retail in prime locations, which draws footfall away from secondary streets. Third, consumer behaviour in the Netherlands is highly concentrated around proven retail destinations — shoppers travel to the best location, not the nearest one.
The vacancy data across Dutch shopping streets reflects this polarisation clearly. Dutch shopping street vacancy rates in prime pitches have remained relatively contained, while secondary locations in the same cities — and entire town centres in smaller municipalities — have experienced sustained vacancy that shows little sign of reversing. For an investor holding a B-location asset, the risk is not just current vacancy but the structural difficulty of attracting a creditworthy replacement tenant at a rent that justifies the asset’s carrying value.
This is precisely why granular, location-specific intelligence matters more in the Dutch market than generic market data. Dutch retail market research that goes beyond city-level averages — down to street-by-street footfall and tenant demand — is the only reliable basis for assessing vacancy risk in a specific asset.
How does location grade influence huurprijsherziening outcomes?
Location grade has a direct and significant influence on huurprijsherziening outcomes in the Netherlands. Under Dutch lease law, retail rents can be reviewed every five years based on comparable market transactions. In A1 locations, where comparable transactions involve high-quality tenants paying strong rents, the outcome of a rent review tends to support or increase passing rent. In B-locations, where comparable evidence reflects weaker demand and lower market rents, a review can result in a downward rent adjustment — even if the current tenant has been paying above-market rent.
This asymmetry is a risk that international investors frequently underestimate. An asset that appears to generate stable rental income may be carrying what the Dutch market calls overhuurde risk — a situation where the passing rent exceeds the current market rent. When the lease comes up for review under Article 7:303 of the Dutch Civil Code, the landlord has limited ability to resist a downward revision if the comparable evidence supports it. In B-locations, that evidence increasingly does.
The practical implication is that the location grade of an asset shapes not just current income but the trajectory of rental income over the hold period. A1 locations provide a foundation for stable or growing rents through successive review cycles. B-locations introduce the real possibility of income erosion at each review point, compressing returns in ways that are difficult to model without detailed knowledge of local comparable transactions.
Accurate rent review assessment requires access to actual lease transaction data — not just published market reports. Retail valuations and rent reviews carried out by specialists with access to comprehensive lease databases provide the most defensible basis for understanding this risk before acquisition.
What due diligence should investors run on a location’s grade before acquiring?
Before acquiring a Dutch retail asset, investors should run due diligence on location grade across four core dimensions: footfall and pedestrian flow data, tenant demand evidence, comparable transaction analysis, and structural retail planning context. Each of these provides a different lens on whether the asset’s location grade is as strong as the vendor’s materials suggest — and whether it is likely to remain so over the investment horizon.
- Footfall and pedestrian flow: Obtain current and historical footfall data for the specific street and unit, not just the city or shopping area. Compare the location’s position within the retail pitch hierarchy — is it at the peak of footfall or on the edge of the prime zone?
- Tenant demand evidence: Assess which retailers are actively seeking space in this location. Demand from national and international retailers is a reliable proxy for A1 status. Thin or absent demand from quality tenants signals a secondary position.
- Comparable lease transactions: Review recent letting transactions on comparable units in the immediate vicinity. This is the most direct evidence of achievable market rent and the depth of the tenant pool. It also provides the input data for any future huurprijsherziening assessment.
- Retail planning and competitive context: Understand the planning environment — are there approved or proposed retail developments nearby that could divert footfall? Is the local municipality actively supporting the retail area, or are there signs of managed decline?
This level of due diligence requires local market access that generalist advisors typically cannot provide. The difference between an asset that is correctly priced for its location grade and one that is being marketed above its real investment value often comes down to the quality of comparable transaction data and the advisor’s direct experience of leasing in that specific location.
KroesePaternotte has been active in Dutch retail real estate since 1984, with a lease transaction database covering virtually the entire Dutch retail market across four decades. That depth of data is what allows meaningful location grade assessment — not just at the city level, but at the street and unit level. For international investors entering the Dutch market, that granularity is the difference between informed acquisition and avoidable risk. Learn more about how KroesePaternotte supports investors across the full transaction cycle.
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This content was generated with the help of AI — it may contain mistakes