Nimtita, Murshidabad — 742224
Includes Jagtai, Dafahat, Alamsahi…
A first look at this place
Great for green surroundings. Heat Apr–Jun is the main drawback.
Generate live details for a complete score.
Information only, not a certified survey. Full disclaimer
Three things to know
Green surroundings
About 85% of the area is green
Very hot Apr–Jun
Average daytime high 38°C during Apr–Jun; about 171 hot or muggy days a year.
A busy neighbourhood
Population estimate: about 4,000 people per km²; expect busy streets and traffic.
What matters to you?
At a glance
Higher is better · /100Air
31Poor Jan–Feb, cleaner the rest of the year
Air
31Look beyond today's air: the seasonal pattern matters.
Cleaner monthsJun–Aug
Worst airDec–Feb
Before you decide
- Check the daily air reading before strenuous outdoor activity.
- For a home, check ventilation and whether indoor air can be filtered.
- People with breathing conditions should follow their clinician's advice.
How we measured this
Fine dust (PM2.5): 70% annual average and 30% worst consecutive three-month average, 2022–2024. ACAG/WashU V6.GL.03. Today's AQI is not part of this score.
- Annual PM2.5 (2022–2024 avg)
- 57.0 µg/m³ · 11.4× WHO guideline
- Worst season (Dec–Feb, 2022–2024 avg)
- 88.7 µg/m³ · 1.5× India's daily limit (60)
Heat
23Very hot Apr–Jun, humid Jul–Oct
Heat
23Comfort depends on both hot days and muggy days.
Cooler monthsNov–Jan
Hottest monthsApr–Jun
Before you decide
- Prioritise shade, cross-ventilation and reliable cooling.
- Visit in the afternoon to judge indoor comfort.
- Plan outdoor activity for cooler hours during the hottest months.
How we measured this
NASA POWER daily climate, 2021–2025. Counts days reaching 40°C or wet-bulb temperature 26°C, and compares them with the frozen national distribution. Today's weather and satellite surface temperature are informational.
- Heat-stress days a year
- 171.4 (hot 29.4, muggy 152.6), 2021–2025 avg
- Hottest typical day
- 44.2°C · average annual maximum
- Source
- NASA POWER (MERRA-2)
- Summer surface temp (satellite, ~1:30 pm)
- 34.5°C
- Compared with 25 km surroundings
- 0.8°C cooler
- Satellite observations
- 45, 5 of 5 summers
- Surface source (information only)
- NASA Aqua MYD11A2 v061
Flood
35River or coastal flood risk in the model
Flood
35This model is a starting point, not a site inspection.
Before you decide
- Ask about past flooding and check the ground-floor level.
- Inspect drainage and basement access before committing.
How we measured this
WRI Aqueduct 100-year river/coastal flood model, JRC seasonal surface water and available local elevation. Does not measure blocked drains or observed street waterlogging.
- 100-year inundation depth
- 2.14 m
- Intermittent water · 250 m
- 0.0%
- Elevation vs surroundings
- Unavailable; penalty not assessed
- Sources
- WRI Aqueduct v2 · EC JRC v1.4
- 2050 · high emissions · 100-year flood
- 2.83 m (scenario, not forecast)
Green
100About 85% of the area is green
Green
100Nearby green land is not always a usable park.
Before you decide
- Check whether nearby green spaces are publicly accessible.
- Visit the park or walking route you would actually use.
How we measured this
ESA WorldCover 2021: trees, shrubs, grass, wetland and mangrove within 500 m; cropland counts half. This dated satellite map does not establish public access.
- Green · 500 m (2021 satellite map)
- 84.6%
- Trees · 500 m (2021 satellite map)
- 80.9%
Commute
—Generate live details
Commute
—Check the station journey you would actually use.
Before you decide
- Try the station walk at the time you would travel.
- Check the complete door-to-door journey; this score covers station access, not your personal commute.
How we measured this
Google station search and walking/weekday morning driving routes. 60% station travel-time curve and 40% nearby station count. Personal journeys never alter this score.
Daily needs
—Generate live details
Daily needs
—Convenience starts with the essentials nearby.
Before you decide
- Check the opening hours of the shops and pharmacy you would use.
- Visit the nearest hospital and school if they matter to your household.
How we measured this
Google Places counts groceries, pharmacies, hospitals, schools and parks within 1 km and 3 km. Counts do not measure service quality or opening hours.
Through the year
Worst air Dec–Feb · about 1.5× India's daily limit
See monthly numbers
Year-round
Typical month · PM2.5 2022–2024, climate 2021–2025 averages
- Worst air: Dec–Feb (PM2.5 ~89 µg/m³, ~1.5× India's daily limit of 60; WHO's daily guideline is 15)
- Hottest: Apr–Jun (avg high 38°C)
- Monsoon: May–Oct (1,250 mm)
- Muggy months: Jul–Oct
Jan: PM2.5 95 µg/m³ (Poor) high 24°C humidity 66% rain 12 mm; Feb: PM2.5 95 µg/m³ (Poor) high 29°C humidity 51% rain 14 mm; Mar: PM2.5 69 µg/m³ (Moderate) high 35°C humidity 42% rain 22 mm; Apr: PM2.5 55 µg/m³ (Satisfactory) high 40°C humidity 39% rain 33 mm; May: PM2.5 47 µg/m³ (Satisfactory) high 38°C humidity 58% rain 184 mm; Jun: PM2.5 33 µg/m³ (Satisfactory) high 36°C humidity 70% rain 168 mm; Jul: PM2.5 27 µg/m³ (Good) high 33°C humidity 82% rain 250 mm; Aug: PM2.5 28 µg/m³ (Good) high 32°C humidity 86% rain 263 mm; Sep: PM2.5 33 µg/m³ (Satisfactory) high 31°C humidity 88% rain 244 mm; Oct: PM2.5 50 µg/m³ (Satisfactory) high 30°C humidity 84% rain 141 mm; Nov: PM2.5 75 µg/m³ (Moderate) high 27°C humidity 79% rain 9 mm; Dec: PM2.5 76 µg/m³ (Moderate) high 24°C humidity 75% rain 10 mm.
Month-by-month figures
| Month | PM2.5 | High °C | RH % | Rain mm |
|---|---|---|---|---|
| Jan | 95 | 23.8 | 66 | 12 |
| Feb | 95 | 28.7 | 51 | 14 |
| Mar | 69 | 35.2 | 42 | 22 |
| Apr | 55 | 39.8 | 39 | 33 |
| May | 47 | 37.6 | 58 | 184 |
| Jun | 33 | 36.3 | 70 | 168 |
| Jul | 27 | 33.4 | 82 | 250 |
| Aug | 28 | 32.0 | 86 | 263 |
| Sep | 33 | 31.2 | 88 | 244 |
| Oct | 50 | 30.1 | 84 | 141 |
| Nov | 75 | 26.8 | 79 | 9 |
| Dec | 76 | 23.8 | 75 | 10 |
Sources: ACAG/WashU V6.GL.03 monthly PM2.5 (CC BY 4.0) · NASA POWER (MERRA-2)
Around the neighbourhood
- Population estimate: about 4,000 people per km²
- Night-light brightening outpaced the rest of the state since 2019
- 2050 outlook (high-emissions scenario): up to 2.8 m in a 1-in-100-year flood (today: up to 2.1 m in the model). Scenario, not a forecast.
Show all 4
- Water stress: Low (<10%) (baseline); projected Low (<10%) by 2050 (business as usual). Catchment-level estimate.
Neighbourhood sources and limitations
WorldPop population within 1 km; mapped OpenStreetMap exposure distances (coverage is incomplete); NASA Black Marble night brightness; sampled Google Open Buildings modelled building-presence footprints, not measured construction; WRI Aqueduct catchment water stress and flood scenarios. Informational only; none changes the score.
Night brightness 2019→2025: 119.2% change; state median 36.0%. Brightness is not evidence of construction.
Solar estimate not available here
About 742224
Jagtai, Murshidabad, West Bengal
Post offices
- Jagtai
- Dafahat
- Alamsahi
- Loharpur
- Chachanda
- Kadamtala
- Naskarpur
- Kashimnagar
- Nimtita Joykrishnapur
- Nimtita
Nearby pincodes
Check a specific building in 742224Information and full data notice
Information only. Data comes from third-party and open sources (Google, NASA, WRI, ESA, WorldPop, OpenStreetMap and others), is shown as received or modelled, and may be incomplete, outdated or inaccurate. It is not professional, legal, financial, property or health advice. Verify independently before making decisions. Full disclaimer →