Lawrence Park North - ClearSpot score: 100%
Last computed: - View on map
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About this place: Lawrence Park North
Lawrence Park North is a city in Canada. Population about 14,607. places_city_intro_fallback_clearspot
Key facts: Lawrence Park North
- ClearSpot score: 100% (all clear)
- Country: Canada
- Population: 14,607
- Main environmental signal: mixed signals
- Wind turbines nearby: None documented within default radius
- Data last updated:
ClearSpot score
100%
ClearSpot's environmental model finds Lawrence Park North in a favourable position: most tracked indicators register negligible pressure at standard sensitivity settings.
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 | 0% | Wind turbine data shows no documented installations within the default 1.5 km sensitivity radius for this location. |
| 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.
100%
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 - Lawrence Park North
Is this place healthy to live?
Based on ClearSpot's environmental model, Lawrence Park North achieves 100%. No significant environmental pressure detected. 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, Lawrence Park North 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 no wind turbines near Lawrence Park North. The wind turbine pressure score is 0% 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, Lawrence Park North 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.
Lawrence Park North - Canada
In the Canada ClearSpot rankings, Lawrence Park North achieves position 1 of 2746 scored locations. It currently leads the national ranking.
Nearby places
- Lawrence Park South - ClearSpot 100%
- Bedford Park-Nortown - ClearSpot 100%
- Yonge-Eglinton - ClearSpot 100%
- Bridle Path-Sunnybrook-York Mills - ClearSpot 100%
- Toronto - ClearSpot 100%
- Mount Pleasant West - ClearSpot 100%
How to read this place
This location shows a comparatively strong ClearSpot score at default settings: fewer of the indexed stressors are pushing hard at sensivities most people start with. Your own priorities can change that reading—see the guides below.
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.