São Raimundo das Mangabeiras - ClearSpot score: 100%
Last computed: - View on map
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About this place: São Raimundo das Mangabeiras
São Raimundo das Mangabeiras is a city in Brazil. Population about 18,672. places_city_intro_fallback_clearspot
Key facts: São Raimundo das Mangabeiras
- ClearSpot score: 100% (all clear)
- Country: Brazil
- Population: 18,672
- Main environmental signal: mixed signals
- Wind turbines nearby: None documented within default radius
- Data last updated:
ClearSpot score
100%
At the time of this computation, no significant environmental pressure was detected within default thresholds for São Raimundo das Mangabeiras.
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% | No wind turbines are documented within the ClearSpot database near São Raimundo das Mangabeiras at default sensitivity radius. |
| 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% | Noise mapping shows no significant pressure from motorways, railways, or airports within the default sensitivity radius. |
| Light pollution | 0% | Night-sky radiance registers no documented pressure - this area scores within the darker end of ClearSpot's light pollution range. |
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 - São Raimundo das Mangabeiras
Is this place healthy to live?
Based on ClearSpot's environmental model, São Raimundo das Mangabeiras 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, São Raimundo das Mangabeiras 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?
Based on ClearSpot's inventory, documents no wind turbines within the default sensitivity radius of São Raimundo das Mangabeiras. The resulting pressure score is 0%. The database is updated weekly from open sources.
How noisy is it?
ClearSpot noise data for São Raimundo das Mangabeiras: 0% burden. No major strategic noise sources are mapped within the default sensitivity radius. Noise scores are updated annually for the strategic layer and monthly for the modelled road-noise layer.
São Raimundo das Mangabeiras - Brazil
Among the 5732 cities scored by ClearSpot in Brazil, São Raimundo das Mangabeiras places 1st. It currently leads the national ranking.
Nearby places
- Sambaíba - ClearSpot 100%
- Loreto - ClearSpot 100%
- São Félix de Balsas - ClearSpot 100%
- Fortaleza dos Nogueiras - ClearSpot 100%
- Ribeiro Gonçalves - ClearSpot 100%
- Nova Colinas - 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.