Poothura, Thiruvananthapuram — 695309
Includes Anjengo
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 64% of the area is green
Milder heat Feb–Apr
Average daytime high 33°C during Feb–Apr; about 93 hot or muggy days a year.
Industrial area nearby
Mapped industrial land 187 m away; visit at different times of day.
What matters to you?
At a glance
Higher is better · /100Air
69Air stays within India's daily limit all year, though above WHO's guideline
Air
69Look beyond today's air: the seasonal pattern matters.
Cleaner monthsAug–Oct
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)
- 24.2 µg/m³ · 4.8× WHO guideline
- Worst season (Nov–Jan, 2022–2024 avg)
- 29.0 µg/m³ · 0.5× India's daily limit (60)
Heat
64Hot Feb–Apr, humid May
Heat
64Comfort depends on both hot days and muggy days.
Cooler monthsJul–Sep
Hottest monthsFeb–Apr
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
- 93.2 (hot 0.0, muggy 93.2), 2021–2025 avg
- Hottest typical day
- 35.7°C · average annual maximum
- Source
- NASA POWER (MERRA-2)
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
- 2.4%
- 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 64% 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)
- 63.8%
- Trees · 500 m (2021 satellite map)
- 62.6%
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 · 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 ~29 µg/m³, below India's daily limit of 60; WHO's daily guideline is 15)
- Hottest: Feb–Apr (avg high 33°C)
- Muggy months: May
Jan: PM2.5 28 µg/m³ (Good) high 30°C humidity 77% rain 100 mm; Feb: PM2.5 30 µg/m³ (Good) high 32°C humidity 68% rain 11 mm; Mar: PM2.5 28 µg/m³ (Good) high 34°C humidity 67% rain 56 mm; Apr: PM2.5 23 µg/m³ (Good) high 32°C humidity 75% rain 128 mm; May: PM2.5 16 µg/m³ (Good) high 30°C humidity 83% rain 358 mm; Jun: PM2.5 15 µg/m³ (Good) high 29°C humidity 87% rain 182 mm; Jul: PM2.5 16 µg/m³ (Good) high 28°C humidity 90% rain 184 mm; Aug: PM2.5 15 µg/m³ (Good) high 28°C humidity 89% rain 147 mm; Sep: PM2.5 14 µg/m³ (Good) high 28°C humidity 88% rain 180 mm; Oct: PM2.5 14 µg/m³ (Good) high 28°C humidity 86% rain 333 mm; Nov: PM2.5 32 µg/m³ (Satisfactory) high 29°C humidity 83% rain 252 mm; Dec: PM2.5 27 µg/m³ (Good) high 29°C humidity 82% rain 91 mm.
Month-by-month figures
| Month | PM2.5 | High °C | RH % | Rain mm |
|---|---|---|---|---|
| Jan | 28 | 29.7 | 77 | 100 |
| Feb | 30 | 32.4 | 68 | 11 |
| Mar | 28 | 33.6 | 67 | 56 |
| Apr | 23 | 32.2 | 75 | 128 |
| May | 16 | 30.0 | 83 | 358 |
| Jun | 15 | 28.7 | 87 | 182 |
| Jul | 16 | 27.9 | 90 | 184 |
| Aug | 15 | 27.9 | 89 | 147 |
| Sep | 14 | 28.2 | 88 | 180 |
| Oct | 14 | 28.4 | 86 | 333 |
| Nov | 32 | 28.6 | 83 | 252 |
| Dec | 27 | 28.9 | 82 | 91 |
Sources: ACAG/WashU V6.GL.03 monthly PM2.5 (CC BY 4.0) · NASA POWER (MERRA-2)
Around the neighbourhood
- Industrial area 187 m away
- Population estimate: about 3,000 people per km²
- Night-light brightening outpaced the rest of the state since 2019
Show all 5
- 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.
- Water stress: High (40–80%) (baseline); projected High (40–80%) 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: 171.6% change; state median 99.8%. Brightness is not evidence of construction.
Solar estimate not available here
About 695309
Poothura, Thiruvananthapuram, Kerala
Post offices
- Poothura
- Anjengo
Nearby pincodes
- 695306 — Melkadakkavur
- 695308 — Vakkom
- 695304 — Katakam
- 695307 — Kaikara
- 695312 — Vettoor
- 695318 — Vennicode
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 →