Pillichsdorf - ClearSpot score: 0%
Last computed: - View on map
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About this place: Pillichsdorf
Pillichsdorf is a city in Austria. Population about 1,157. places_city_intro_fallback_clearspot
Key facts: Pillichsdorf
- ClearSpot score: 0% (not clear)
- Country: Austria
- Population: 1,157
- Main environmental signal: wind turbines
- Wind turbines nearby: Present, high pressure - check live map
- Data last updated:
ClearSpot score
0%
ClearSpot's model places Pillichsdorf under notable environmental pressure (0%). This reflects documented sources within default sensitivity radii, not a safety assessment.
Published tables use the same default thresholds for everyone so rankings stay comparable. On the home map, your tuned sensitivities still drive the live chip.
Environmental indicators
| Module | Score | What this means |
|---|---|---|
| Wind turbines | 100% | High wind turbine pressure (100%). One or more documented wind farms are within the default precautionary radius. See the wind turbine data guide for methodology. |
| Pollen | 0% | Pollen data shows no documented allergenic species exceeding default alert thresholds in this reference period. |
| Air quality | 0% | No air quality pressure detected within default ClearSpot thresholds for this location. |
| Noise | 0% | No major strategic noise sources are documented within default ClearSpot sensitivity thresholds for this location. |
| Light pollution | 0% | Light pollution data shows no significant radiance pressure within default ClearSpot thresholds for this location. |
Live check at this pin
What the map would compute right now with default sensitivity thresholds (same assumption as our public tables). Opens the same modules as the home experience.
0%
Per-indicator burden (0–100)
Higher values mean more pressure against default thresholds for that module. They roll up into the headline ClearSpot score.
FAQ - Pillichsdorf
Is this place healthy to live?
Based on ClearSpot's environmental model, Pillichsdorf achieves 0%. Wind turbines documented nearby. Higher scores indicate less documented environmental pressure at default thresholds - the live map lets you fine-tune this assessment to your own sensitivities.
What is air quality like here?
According to ClearSpot's air quality model, Pillichsdorf scores 0% burden. This reflects averaged pollutant readings for the area rather than a specific street-level measurement. No documented exceedance of WHO 2021 guidelines was detected in the reference period. For a real-time reading, use the live map.
Are there wind turbines nearby?
ClearSpot's wind turbine database documents one or more wind turbines within a close-range pressure band near Pillichsdorf. The wind turbine pressure score is 100% at default 1.5 km sensitivity settings. Data is sourced from OpenStreetMap, the French OREOL registry, and EMODnet offshore records.
How noisy is it?
According to ClearSpot's noise model, Pillichsdorf scores 0% noise burden. No major strategic noise sources are mapped within the default sensitivity radius. This is a strategic-level estimate - actual noise on any given street will vary significantly.
Pillichsdorf - Austria
Pillichsdorf ranks 1077th out of 1310 scored cities in Austria on ClearSpot. It is among the lower-scoring cities in the national dataset.
Nearby places
- Obersdorf - ClearSpot 0%
- Groß-Engersdorf - ClearSpot 0%
- Wolkersdorf im Weinviertel - ClearSpot 0%
- Seyring - ClearSpot 0%
- Großebersdorf - ClearSpot 0%
- Bockfließ - ClearSpot 0%
How to read this place
At default settings the indexed pressures are relatively high here. That is not a medical diagnosis; it is a prompt to inspect turbines, air, pollen, noise, and night-sky data in context and with your sensitivities.
Short-term vs long-term
In the short term, spikes come from weather, pollen season, construction, or night lighting—use the live map when deciding whether to open a window or plan outdoor time.
Over months and years, patterns matter for where you settle: turbine proximity, chronic noise corridors, recurring pollen sources, and persistent air basins. The blog and data guides explain how each layer is built.
Guides & further reading
Transparent scales, licensed upstream data, and how the headline score is assembled.