Living in Kaditz, Dresden
Kaditz is an area of Dresden with about 3,744 residents. Its CityPulse standard score is 49 out of 100 (fair): better than 7% of Dresden residents, ranked 94 of 105 areas.
Strengths
- Playgrounds on foot: playground 6 min walk
Weaknesses
- Tree canopy: 11.2% tree canopy within 500 m
- Public transport frequency: 2 departures per hour between 7 and 9 am from nearby stops
- Protected cycle lanes: protected cycle lane 10 min walk
Who Kaditz suits
| Profile | Score | Rank in the city |
|---|---|---|
| Student | 30 · poor | 79 of 105 |
| Family | 57 · fair | 76 of 105 |
| Over 65 | 58 · fair | 88 of 105 |
| Working from home | 48 · fair | 81 of 105 |
| Commuter | 26 · poor | 82 of 105 |
Services on foot
Walking-network distance for the area's typical resident (median).
| Service | Typical distance | On foot |
|---|---|---|
| Food shop | 1,367 m | 17 min walk |
| Pharmacy | 1,376 m | 17 min walk |
| Doctor | 830 m | 10 min walk |
| Nursery school | 822 m | 10 min walk |
| Primary school | 1,050 m | 13 min walk |
| Bus, tram or water bus stop | 278 m | 3 min walk |
| Metro or train station | 1,853 m | 23 min walk |
| Public green space | 542 m | 7 min walk |
| Large park (≥ 10 ha) | 2,173 m | 27 min walk |
| Playground | 490 m | 6 min walk |
| Protected cycle lane | 773 m | 10 min walk |
Greenery, air and transport
- 11.2% tree canopy within 500 m (city median: 19.7%)
- 9.3 µg/m³ of PM2.5, 2024 annual mean
- 2 departures per hour between 7 and 9 am (city median: 16)
- Medium density
Streets and squares in Kaditz
Am Kaditzer Tännicht · Am Kesselgrund · Am Seegraben · Am Stadtrand · Am Vorwerksfeld · An den Hufen · Andersenstraße · Emilienstraße · Fürstenhainer Straße · Gleinaer Straße · Grimmstraße · Gucksbergweg · Gustav-Schwab-Straße · Kleinsiedlerweg · Kötitzer Straße · Kötzschenbroder Straße · Riegelplatz · Sandbodenweg · Seewiesenweg · Serkowitzer Straße · Spitzhausstraße · Zitzschewiger Straße · Übigauer Straße
Nearby areas
Look up an address in Dresden All Dresden 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 2026-11-05. Method and sources