Monte Alegre de Goiás - ClearSpot score: 100%
Last computed: - View on map
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About this place: Monte Alegre de Goiás
Monte Alegre de Goiás is a city in Brazil. Population about 6,692. places_city_intro_fallback_clearspot
Key facts: Monte Alegre de Goiás
- ClearSpot score: 100% (all clear)
- Country: Brazil
- Population: 6,692
- Main environmental signal: mixed signals
- Wind turbines nearby: None documented within default radius
- Data last updated:
ClearSpot score
100%
ClearSpot's environmental model finds Monte Alegre de Goiás 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% | No wind turbines are documented within the ClearSpot database near Monte Alegre de Goiás at default sensitivity radius. |
| Pollen | 0% | Pollen data shows no documented allergenic species exceeding default alert thresholds in this reference period. |
| Air quality | 0% | Air quality data shows no documented exceedance of default sensitivity thresholds at this pin. |
| 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 - Monte Alegre de Goiás
Is this place healthy to live?
Monte Alegre de Goiás scores 100% on ClearSpot's environmental index at default sensitivity settings. No significant environmental pressure detected. This score reflects modelled pressure from open data sources - not a medical or safety assessment. Individual tolerance varies; ClearSpot lets you adjust sensitivity thresholds to reflect your own profile on the live map.
What is air quality like here?
Air quality in Monte Alegre de Goiás registers 0% pressure on ClearSpot's scale. Monthly measurements from the Open-Meteo Air Quality API and WAQI network form the basis of this score. No documented exceedance of WHO 2021 guidelines was detected in the reference period.
Are there wind turbines nearby?
Wind turbine data for Monte Alegre de Goiás: documents no wind turbines. At default ClearSpot thresholds (1.5 km sensitivity radius), the pressure score is 0%. You can adjust this radius on the live map to reflect your own sensitivity level.
How noisy is it?
ClearSpot noise data for Monte Alegre de Goiás: 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.
Monte Alegre de Goiás - Brazil
Monte Alegre de Goiás ranks 1st out of 5732 scored cities in Brazil on ClearSpot. It currently leads the national ranking.
Nearby places
- Campos Belos - ClearSpot 100%
- Arraias - ClearSpot 100%
- Nova Roma - ClearSpot 100%
- Novo Alegre - ClearSpot 100%
- São Domingos - ClearSpot 100%
- Combinado - 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.