Comilla - ClearSpot score: 100%

Last computed: - View on map

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About this place: Comilla

Comilla District, officially known as Cumilla District, (Bengali: কুমিল্লা জেলা) is a district located in southeastern Bangladesh. It is a part of the Chittagong Division. It lies about 100 kilometres (60 mi) southeast of Dhaka. Comilla is bordered by Brahmanbaria and Narayanganj districts to the north, Noakhali and Feni districts to the south, Tripura state of India to the east and Munshiganj and Chandpur districts to the west.

Source: Wikipedia, licensed under CC BY-SA 4.0.

Key facts: Comilla

  • ClearSpot score: 100% (all clear)
  • Country: Bangladesh
  • Population: 1,030,000
  • Main environmental signal: mixed signals
  • Wind turbines nearby: None documented within default radius
  • Data last updated:

ClearSpot score

100%

ClearSpot's environmental model finds Comilla 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% Air quality data shows no documented exceedance of default sensitivity thresholds at this pin.
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 - Comilla

Is this place healthy to live?

Comilla 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 Comilla 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?

ClearSpot's wind turbine database documents no wind turbines near Comilla. 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?

ClearSpot's noise module rates Comilla at 0% burden. This is based on European strategic noise maps (EEA, END Directive 2002/49/EC) and modelled road noise from OpenStreetMap infrastructure. No major strategic noise sources are mapped within the default sensitivity radius.

Comilla - Bangladesh

In the Bangladesh ClearSpot rankings, Comilla achieves position 1 of 157 scored locations. It currently leads the national ranking.

Nearby places

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.