Living in La White Haye, Nancy
La White Haye is an area of Nancy with about 1,693 residents. Its CityPulse standard score is 94 out of 100 (excellent): better than 86% of Nancy residents, ranked 2 of 6 areas.
Strengths
- Public green space: public green space 1 min walk, large park 1 min walk
- Tree canopy: 26.9% tree canopy within 500 m
- Services on foot: food shop 7 min walk, pharmacy 6 min walk, doctor 8 min walk
- Playgrounds on foot: playground 2 min walk
Weaknesses
- Public transport frequency: 12 departures per hour between 7 and 9 am from nearby stops
- Protected cycle lanes: protected cycle lane 10 min walk
Who La White Haye suits
| Profile | Score | Rank in the city |
|---|---|---|
| Student | 60 · good | 6 of 6 |
| Family | 83 · excellent | 2 of 6 |
| Over 65 | 95 · excellent | 2 of 6 |
| Working from home | 68 · good | 4 of 6 |
| Commuter | 47 · fair | 6 of 6 |
Services on foot
Walking-network distance for the area's typical resident (median).
| Service | Typical distance | On foot |
|---|---|---|
| Food shop | 563 m | 7 min walk |
| Pharmacy | 497 m | 6 min walk |
| Doctor | 621 m | 8 min walk |
| Nursery school | 641 m | 8 min walk |
| Primary school | 774 m | 10 min walk |
| Bus, tram or water bus stop | 123 m | 2 min walk |
| Metro or train station | 3,150 m | 39 min walk |
| Public green space | 68 m | 1 min walk |
| Large park (≥ 10 ha) | 68 m | 1 min walk |
| Playground | 151 m | 2 min walk |
| Protected cycle lane | 825 m | 10 min walk |
Greenery, air and transport
- 26.9% tree canopy within 500 m (city median: 13.3%)
- 8.3 µg/m³ of PM2.5, 2024 annual mean
- 12 departures per hour between 7 and 9 am (city median: 18)
- Medium density
Streets and squares in La White Haye
Allée Jacqueline Brumaire · Allée Joséphine Baker · Avenue Raymond Pinchard · Rue Henry Brun · Rue Jean Monnet · Rue Louis Camille Maillard · Rue Lucien et Rene Wiener · Rue de la Bergamote · Rue du Balin · Rue du Maréchal Pierre Koenig · Rue du Merlon · rue Jean Mihe
Nearby areas
Look up an address in Nancy All Nancy 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 2026-11-04. Method and sources