London vs Milan

    Compare coffee shop location evidence without filling missing metrics with default values.

    2 markets
    Comparable map evidence
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    Comparable opportunity map

    As melhores zonas para abrir um Coffee Shop em London

    The same scoring generation, confidence threshold and evidence period are used on both sides.

    London · Cafe & BarWood Wharf — 78/100 (50% confidence)1The Phillimore Estate — 69/100 (60% confidence)2Lisson Green Estate — 68/100 (60% confidence)3Regents Park Estate — 60/100 (60% confidence)4Doddington and Rollo Estate — 55/100 (60% confidence)5Dickens Estate — 53/100 (60% confidence)Warwick Estate — 53/100 (60% confidence)Andover Estate — 52/100 (60% confidence)Lower Hurlingham — 52/100 (60% confidence)White City Estate — 52/100 (60% confidence)Lincoln North Estate — 50/100 (50% confidence)Locksley Estate — 50/100 (60% confidence)Evelyn Estate — 50/100 (60% confidence)Rouel Road Estate — 49/100 (60% confidence)Elthorne Estate — 48/100 (60% confidence)Wandsworth Riverside Quarter — 48/100 (60% confidence)0100n/aH3 res 8 · WhereToOpen.ai

    Pontuação da cidade 56/100· 16 zonas· Atualizado Sep 14, 2026

    1. 178Wood Wharf14 concorrentes · 4.6★
    2. 269The Phillimore Estate14 concorrentes · 4.6★
    3. 368Lisson Green Estate5 concorrentes · 4.4★
    4. 460Regents Park Estate10 concorrentes · 4.6★
    5. 555Doddington and Rollo Estate8 concorrentes · 4.5★
    6. 653Dickens Estate8 concorrentes · 4.5★
    7. 753Warwick Estate5 concorrentes · 4.5★
    8. 852Andover Estate11 concorrentes · 4.7★
    9. 952Lower Hurlingham11 concorrentes · 4.7★
    10. 1052White City Estate8 concorrentes · 4.6★
    11. 1150Lincoln North Estate7 concorrentes · 4.5★
    12. 1250Locksley Estate5 concorrentes · 4.6★
    13. 1350Evelyn Estate11 concorrentes · 4.7★
    14. 1449Rouel Road Estate6 concorrentes · 4.6★
    15. 1548Elthorne Estate7 concorrentes · 4.7★
    16. 1648Wandsworth Riverside Quarter5 concorrentes · 4.7★
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    Comparable opportunity map

    As melhores zonas para abrir um Coffee Shop em Milan

    The same scoring generation, confidence threshold and evidence period are used on both sides.

    Milan · Cafe & BarTicinese — 90/100 (80% confidence)1Duomo — 88/100 (80% confidence)2Navigli — 88/100 (80% confidence)3Garibaldi Repubblica — 87/100 (80% confidence)4Tortona — 87/100 (80% confidence)5Sarpi — 86/100 (80% confidence)Brera — 80/100 (80% confidence)Guastalla — 75/100 (80% confidence)Portello — 67/100 (80% confidence)Isola — 66/100 (80% confidence)Magenta - San Vittore — 66/100 (80% confidence)Porta Romana — 65/100 (80% confidence)Vigentina — 65/100 (80% confidence)Washington — 65/100 (80% confidence)0100n/aH3 res 8 · WhereToOpen.ai

    Pontuação da cidade 77/100· 14 zonas· Atualizado Sep 12, 2026

    1. 190Ticinese7 concorrentes · 4.5★
    2. 288Duomo12 concorrentes · 4.5★
    3. 388Navigli6 concorrentes · 4.4★
    4. 487Garibaldi Repubblica5 concorrentes · 4.6★
    5. 587Tortona7 concorrentes · 4.5★
    6. 686Sarpi2 concorrentes · 4.7★
    7. 780Brera6 concorrentes · 4.6★
    8. 875Guastalla5 concorrentes · 4.6★
    9. 967Portello4 concorrentes · 4.7★
    10. 1066Isola3 concorrentes · 4.6★
    11. 1166Magenta - San Vittore2 concorrentes · 4.6★
    12. 1265Porta Romana2 concorrentes · 4.5★
    13. 1365Vigentina3 concorrentes · 4.6★
    14. 1465Washington3 concorrentes · 4.6★
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    Resposta direta

    London scores 56/100 across 16 mapped areas; Milan scores 77/100 across 14. These scores use the same business weights, but are not a revenue forecast.

    Comparable market evidence

    MetricLondonMilan
    Population9.0M1.4M
    Commercial rent£5,000-25,000/month€3,500-8,000/month
    Business densityVery HighVery High
    Tourist flowExtremely HighVery High
    Transport score95/10088/100
    Safety index68/10072/100
    CurrencyGBPEUR

    Decision context: London

    Observed opportunities: Massive consumer base · Cultural diversity · Tech ecosystem

    Known constraints: Very high rents · Intense competition · Complex licensing

    Open London analysis

    Decision context: Milan

    Observed opportunities: Business tourism · Fashion and design · Nightlife and aperitifs

    Known constraints: High rents · Strong competition · High operating costs

    Open Milan analysis

    Evidências e limites

    Confiança: 70%
    Dados observados
    Cached neighbourhood evidence shown on both maps.
    Dados publicados
    City population, rent, mobility and market reference datasets.
    Dados modelados
    Opportunity scores are modelled with one shared sector weighting system; missing metrics are never replaced with neutral defaults.

    Compare only matching fields and inspect each city's evidence before selecting an address.

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