Nagra, Jalandhar — 144037
Includes Pharwala, Pasla
A first look at this place
Great for green surroundings. Winter air is the big drawback.
Generate live details for a complete score.
Information only, not a certified survey. Full disclaimer
Three things to know
Green surroundings
About half of the area is green
Poor air Nov–Jan
Fine dust about 2× India's daily limit in winter (93 µg/m³).
A busy neighbourhood
Population estimate: about 1,000 people per km²; expect busy streets and traffic.
What matters to you?
At a glance
Higher is better · /100Air
29Poor Nov, cleaner the rest of the year
Air
29Look beyond today's air: the seasonal pattern matters.
Cleaner monthsJul–Sep
Worst airNov–Jan
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)
- 60.5 µg/m³ · 12.1× WHO guideline
- Worst season (Nov–Jan, 2022–2024 avg)
- 92.7 µg/m³ · 1.5× India's daily limit (60)
Heat
48Very hot Apr–Jun, humid Aug–Sep
Heat
48Comfort depends on both hot days and muggy days.
Cooler monthsDec–Feb
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
- 127.2 (hot 51.8, muggy 91.2), 2021–2025 avg
- Hottest typical day
- 47.1°C · average annual maximum
- Source
- NASA POWER (MERRA-2)
- Summer surface temp (satellite, ~1:30 pm)
- 40.3°C
- Compared with 25 km surroundings
- 0.2°C warmer
- Satellite observations
- 57, 5 of 5 summers
- Surface source (information only)
- NASA Aqua MYD11A2 v061
Flood
100Low river and coastal flood risk
Flood
100This 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)
Green
100About half 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)
- 51.6%
- Trees · 500 m (2021 satellite map)
- 4.1%
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 Nov–Jan · about 2× 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 ~93 µg/m³, ~2× India's daily limit of 60; WHO's daily guideline is 15)
- Hottest: Apr–Jun (avg high 40°C)
- Monsoon: Jul–Sep (736 mm)
- Muggy months: Aug–Sep
Jan: PM2.5 81 µg/m³ (Moderate) high 20°C humidity 59% rain 38 mm; Feb: PM2.5 72 µg/m³ (Moderate) high 25°C humidity 50% rain 26 mm; Mar: PM2.5 56 µg/m³ (Satisfactory) high 31°C humidity 43% rain 25 mm; Apr: PM2.5 41 µg/m³ (Satisfactory) high 37°C humidity 32% rain 19 mm; May: PM2.5 51 µg/m³ (Satisfactory) high 41°C humidity 30% rain 40 mm; Jun: PM2.5 46 µg/m³ (Satisfactory) high 41°C humidity 37% rain 97 mm; Jul: PM2.5 36 µg/m³ (Satisfactory) high 36°C humidity 69% rain 310 mm; Aug: PM2.5 31 µg/m³ (Satisfactory) high 34°C humidity 78% rain 278 mm; Sep: PM2.5 39 µg/m³ (Satisfactory) high 33°C humidity 76% rain 148 mm; Oct: PM2.5 78 µg/m³ (Moderate) high 31°C humidity 65% rain 36 mm; Nov: PM2.5 112 µg/m³ (Poor) high 27°C humidity 56% rain 5 mm; Dec: PM2.5 85 µg/m³ (Moderate) high 22°C humidity 53% rain 6 mm.
Month-by-month figures
| Month | PM2.5 | High °C | RH % | Rain mm |
|---|---|---|---|---|
| Jan | 81 | 20.1 | 59 | 38 |
| Feb | 72 | 24.7 | 50 | 26 |
| Mar | 56 | 31.3 | 43 | 25 |
| Apr | 41 | 37.3 | 32 | 19 |
| May | 51 | 40.6 | 30 | 40 |
| Jun | 46 | 41.4 | 37 | 97 |
| Jul | 36 | 36.0 | 69 | 310 |
| Aug | 31 | 33.6 | 78 | 278 |
| Sep | 39 | 32.8 | 76 | 148 |
| Oct | 78 | 31.2 | 65 | 36 |
| Nov | 112 | 26.8 | 56 | 5 |
| Dec | 85 | 22.1 | 53 | 6 |
Sources: ACAG/WashU V6.GL.03 monthly PM2.5 (CC BY 4.0) · NASA POWER (MERRA-2)
Around the neighbourhood
- Population estimate: about 1,000 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: Medium–high (20–40%) (baseline); projected Medium–high (20–40%) 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 144037
Nagra, Jalandhar, Punjab
Post offices
- Nagra
- Pharwala
- Pasla
Nearby pincodes
Check a specific building in 144037Information 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 →