Living in Avis, Porto
Avis is an area of Porto with about 1,834 residents. Its CityPulse standard score is 82 out of 100 (excellent): better than 85% of Porto residents, ranked 12 of 80 areas.
Strengths
- Public green space: public green space 1 min walk, large park 8 min walk
- Services on foot: food shop 11 min walk, pharmacy 3 min walk, doctor 6 min walk
- Protected cycle lanes: protected cycle lane 3 min walk
Weaknesses
- Public transport frequency: 14 departures per hour between 7 and 9 am from nearby stops
- Playgrounds on foot: playground 11 min walk
Who Avis suits
| Profile | Score | Rank in the city |
|---|---|---|
| Student | 84 · excellent | 3 of 80 |
| Family | 59 · fair | 41 of 80 |
| Over 65 | 90 · excellent | 7 of 80 |
| Working from home | 77 · good | 7 of 80 |
| Commuter | 64 · good | 28 of 80 |
Services on foot
Walking-network distance for the area's typical resident (median).
| Service | Typical distance | On foot |
|---|---|---|
| Food shop | 845 m | 11 min walk |
| Pharmacy | 214 m | 3 min walk |
| Doctor | 471 m | 6 min walk |
| Nursery school | 515 m | 6 min walk |
| Primary school | 671 m | 8 min walk |
| Bus, tram or water bus stop | 288 m | 4 min walk |
| Metro or train station | 2,083 m | 26 min walk |
| Public green space | 95 m | 1 min walk |
| Large park (≥ 10 ha) | 668 m | 8 min walk |
| Playground | 911 m | 11 min walk |
| Protected cycle lane | 273 m | 3 min walk |
Greenery, air and transport
- 16.9% tree canopy within 500 m (city median: 12.6%)
- 10.0 µg/m³ of PM2.5, 2024 annual mean
- 14 departures per hour between 7 and 9 am (city median: 30)
- Medium density
Streets and squares in Avis
Largo de Tomé Pires · Praceta Ernesto Veiga de Oliveira · Praceta do Professor Egas Moniz · Praça Revista o Tripeiro · Rua Gustavo de Sousa · Rua Miguel Torga · Rua da Vilarinha · Rua de Adriano Correia Oliveira · Rua de José Gomes Ferreira · Rua de Pedro Homem de Melo · Rua de Pinho Leal · Rua de Roriz · Rua do Professor Luís de Pina
Nearby areas
Look up an address in Porto All Porto areas
Areas are named after OpenStreetMap neighbourhoods and have approximate boundaries: each hexagon goes to the nearest name. Values are residents' medians. Data updated on 2026-11-06. Method and sources