Pincode ReportIndia · beta

Jamka, Amreli — 365550

Includes Talda, Raydi, Dadali…

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A first look at this place

Great for green surroundings. Air stays within India's daily limit all year, though above WHO's guideline.

Generate live details for a complete score.

Information only, not a certified survey. Full disclaimer

Three things to know

Green surroundings

About 63% of the area is green

Air stays within India's daily limit

Even the worst months (Nov–Jan) average 51 µg/m³.

A busy neighbourhood

Population estimate: about 0 people per km²; expect busy streets and traffic.

What matters to you?

At a glance

Higher is better · /100

Air

55

Air stays within India's daily limit all year, though above WHO's guideline

Look beyond today's air: the seasonal pattern matters.

Cleaner monthsJun–Aug

Worst airNov–Jan

JMonthly fine dust, month 1: 45FMonthly fine dust, month 2: 36MMonthly fine dust, month 3: 38AMonthly fine dust, month 4: 35MMonthly fine dust, month 5: 29JMonthly fine dust, month 6: 18JMonthly fine dust, month 7: 32AMonthly fine dust, month 8: 21SMonthly fine dust, month 9: 19OMonthly fine dust, month 10: 36NMonthly fine dust, month 11: 58DMonthly fine dust, month 12: 51

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)
34.8 µg/m³ · 7.0× WHO guideline
Worst season (Nov–Jan, 2022–2024 avg)
51.4 µg/m³ · 0.9× India's daily limit (60)
Full methodology and sources

Heat

62

Very hot Mar–May, humid Jul–Oct

Comfort depends on both hot days and muggy days.

Cooler monthsNov–Jan

Hottest monthsMar–May

JMonthly daytime high, month 1: 29FMonthly daytime high, month 2: 32MMonthly daytime high, month 3: 36AMonthly daytime high, month 4: 38MMonthly daytime high, month 5: 37JMonthly daytime high, month 6: 34JMonthly daytime high, month 7: 31AMonthly daytime high, month 8: 30SMonthly daytime high, month 9: 30OMonthly daytime high, month 10: 31NMonthly daytime high, month 11: 30DMonthly daytime high, month 12: 29

Before you decide

  • Check afternoon sun exposure and ventilation in the home.
  • 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
97.8 (hot 10.4, muggy 90.0), 2021–2025 avg
Hottest typical day
41.5°C · average annual maximum
Source
NASA POWER (MERRA-2)
Summer surface temp (satellite, ~1:30 pm)
46.5°C
Compared with 25 km surroundings
0.9°C warmer
Satellite observations
50, 5 of 5 summers
Surface source (information only)
NASA Aqua MYD11A2 v061
Full methodology and sources

Flood

100

Low river and coastal flood risk

This model is a starting point, not a site inspection.

Before you decide

  • Ask neighbours about monsoon waterlogging; local drains are not covered by the model.
  • 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
0.00 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
0.00 m (scenario, not forecast)
Full methodology and sources

Green

100

About 63% of the area is green

Nearby 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)
62.8%
Trees · 500 m (2021 satellite map)
1.2%
Full methodology and sources

Commute

—

Generate live details

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.

Full methodology and sources

Daily needs

—

Generate live details

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.

Full methodology and sources

Through the year

Worst air Nov–Jan · below India's daily limit

See monthly numbers

Year-round

Typical month · PM2.5 2022–2024, climate 2021–2025 averages

  • Worst air: Nov–Jan (PM2.5 ~51 µg/m³, below India's daily limit of 60; WHO's daily guideline is 15)
  • Hottest: Mar–May (avg high 37°C)
  • Monsoon: Jun–Sep (874 mm)
  • Muggy months: Jul–Oct
PM2.5 µg/m³6532High °C4124Jan: PM2.5 45 µg/m³ (Satisfactory)Feb: PM2.5 36 µg/m³ (Satisfactory)Mar: PM2.5 38 µg/m³ (Satisfactory)Apr: PM2.5 35 µg/m³ (Satisfactory)May: PM2.5 29 µg/m³ (Good)Jun: PM2.5 18 µg/m³ (Good)Jul: PM2.5 32 µg/m³ (Satisfactory)Aug: PM2.5 21 µg/m³ (Good)Sep: PM2.5 19 µg/m³ (Good)Oct: PM2.5 36 µg/m³ (Satisfactory)Nov: PM2.5 58 µg/m³ (Satisfactory)Dec: PM2.5 51 µg/m³ (Satisfactory)Jan: high 28.9°C, humidity 47%Feb: high 32.3°C, humidity 41%Mar: high 35.7°C, humidity 40%Apr: high 38.2°C, humidity 45%May: high 37.3°C, humidity 58%Jun: high 34.1°C, humidity 71%Jul: high 30.7°C, humidity 84%Aug: high 30.2°C, humidity 84%Sep: high 30.0°C, humidity 85%Oct: high 31.0°C, humidity 76%Nov: high 29.9°C, humidity 67%Dec: high 28.8°C, humidity 60%Jan: 1 mm rainFeb: 0 mm rainMar: 3 mm rainApr: 2 mm rainMay: 38 mm rainJun: 175 mm rainJul: 312 mm rainAug: 152 mm rainSep: 235 mm rainOct: 62 mm rainNov: 9 mm rainDec: 4 mm rainRainJFMAMJJASOND

Jan: PM2.5 45 µg/m³ (Satisfactory) high 29°C humidity 47% rain 1 mm; Feb: PM2.5 36 µg/m³ (Satisfactory) high 32°C humidity 41% rain 0 mm; Mar: PM2.5 38 µg/m³ (Satisfactory) high 36°C humidity 40% rain 3 mm; Apr: PM2.5 35 µg/m³ (Satisfactory) high 38°C humidity 45% rain 2 mm; May: PM2.5 29 µg/m³ (Good) high 37°C humidity 58% rain 38 mm; Jun: PM2.5 18 µg/m³ (Good) high 34°C humidity 71% rain 175 mm; Jul: PM2.5 32 µg/m³ (Satisfactory) high 31°C humidity 84% rain 312 mm; Aug: PM2.5 21 µg/m³ (Good) high 30°C humidity 84% rain 152 mm; Sep: PM2.5 19 µg/m³ (Good) high 30°C humidity 85% rain 235 mm; Oct: PM2.5 36 µg/m³ (Satisfactory) high 31°C humidity 76% rain 62 mm; Nov: PM2.5 58 µg/m³ (Satisfactory) high 30°C humidity 67% rain 9 mm; Dec: PM2.5 51 µg/m³ (Satisfactory) high 29°C humidity 60% rain 4 mm.

Month-by-month figures
MonthPM2.5High °CRH %Rain mm
Jan4528.9471
Feb3632.3410
Mar3835.7403
Apr3538.2452
May2937.35838
Jun1834.171175
Jul3230.784312
Aug2130.284152
Sep1930.085235
Oct3631.07662
Nov5829.9679
Dec5128.8604

Sources: ACAG/WashU V6.GL.03 monthly PM2.5 (CC BY 4.0) · NASA POWER (MERRA-2)

Around the neighbourhood

  • Population estimate: about 0 people per km²
  • Few night lights in 2019; change isn't reliable
  • 2050 outlook (high-emissions scenario): none in the model in a 1-in-100-year flood (today: none in the model). Scenario, not a forecast.
Show all 4
  • Water stress: Extremely high (>80%) (baseline); projected Extremely high (>80%) 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: 2019 baseline below 1; change is unreliable.

Solar estimate not available here

About 365550

Jamka, Amreli, Gujarat

Post offices

  • Jamka
  • Talda
  • Raydi
  • Dadali
  • Ningla2
  • Trakuda
  • Rabarika
  • Sarakadiya
  • Dedan

Nearby pincodes

Check a specific building in 365550
Information 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 →

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