More office for your budget.

How we identify these options

1. Use the current source-listed rental collection. Sales and listings marked unavailable are excluded. Supplier titles and descriptions identifying non-office or mixed uses, source-reference conflicts and conflicting facts are excluded pending review. Inclusive/shared packages are separated using description evidence as well as titles. Each property reference counts once.
2. Put prices on a comparable basis. Conventional rate = monthly asking rent × 12 ÷ advertised m². Serviced rate = monthly asking price ÷ supplier-advertised desks. Area-derived people estimates are never used as desk counts.
3. Group by locality and office type. Allocate each quotation to one canonical zone and keep office types separate. Ambiguous cross-zone labels are withheld. A zone can combine nearby villages; it is not a village-specific valuation.
4. Select 15–25 comparable quotations. Conventional units must be at least 50 m². Deduplicate references and likely repeated quotations; sort by area then source URL and select up to 25 evenly spaced records. Below 15, withhold the benchmark. The subject is included only if selected. Only the active OfficeSpace.Rent source collection is used. Competitor quotations are excluded.
5. Calculate the arithmetic mean. Add individual comparable rates and divide by the number of listings. Every listing has equal weight; this is not area-weighted, desk-weighted or the median.
6. Apply the 20% test. A listing qualifies when its unrounded rate is no more than 0.80 × the group mean. Percentage below mean = (mean − property rate) ÷ mean × 100. Exactly 20% below qualifies.
7. Rank for affordability. Default order is monthly asking rent, lowest first; ties use the larger relative discount, then property reference. You can instead sort by the largest percentage below mean.

A worked example

If a 15-office sample contains five rates each at €160, €200 and €240 per m²/year, its mean is (5 × €160 + 5 × €200 + 5 × €240) ÷ 15 = €200 per m²/year. The qualifying ceiling is €200 × 0.80 = €160. The €160 listing is exactly 20% below the mean and qualifies. The example is illustrative, not a live property quote.

Inspect every source behind the benchmark

The Village Rent Index is the central source of all comparison figures. It lists every included and excluded property, source URL, asking price, area or desk count, and exclusion reason.

What the screen can and cannot tell you

This is a mathematical screen of advertised asking rates from OfficeSpace.Rent’s active available collection only. The full observed range and median are shown for context. No outliers are silently removed; a high asking rate can pull the mean upward. Small samples and overlapping unit configurations can affect the result.

Condition, fit-out, included services, external-area treatment, lease length, future start dates, VAT, parking and fees can differ. A low unit rate does not guarantee a low total bill or suitability. Read the availability badge, confirm the current quote and compare the complete package before deciding. This is not a valuation, negotiated saving or claim that a property is objectively underpriced.

In this snapshot, 130 non-office, ambiguous mixed-use or source-conflict rental entries are excluded; 47 rental listings lack the required positive facts or locality; 57 further listings belong to groups containing fewer than 15 eligible quotations and are not assessed. The same index sample powers these results. Daily inventory changes recalculate eligibility; the rent index, locality pages and Best Value use the same OfficeSpace.Rent-only source snapshot.

Full source methodology · Download the workings as JSON · Build a complete office budget