Bhavani Nagar is a ward in Raipur (Zone 8) with 🟡 moderate livability livability (Score: 54.25/100, Grade: C). It scores -4.1 below the Raipur average.
Strengths: Water Bodies, Air Quality, Earthquake Safety · Needs improvement: Green Cover, Population Density
Best suited for: Investors Working Professionals
Click any metric card to explore detailed parameters
Historical parameter scores over the past 21 data points 11 Mar — 23 Apr 2026
| Parameter | Value | NAAQS Limit | Direction |
|---|---|---|---|
| AQI Satisfactory | 58 | 0–50 Good | Lower is better |
| Air Quality Index — a single number (0–500) summarizing overall air pollution. Computed from the worst-performing pollutant. AQI ≤50 is "Good"; above 200 is "Very Poor" and dangerous for sensitive groups. | |||
| PM2.5 | 18.75 µg/m³ | ≤40 µg/m³ (24hr) | Lower is better |
| Fine particulate matter (diameter <2.5 µm). These ultra-fine particles penetrate deep into lungs and enter the bloodstream, causing respiratory disease, heart attacks, and reduced life expectancy. Main sources: vehicle exhaust, construction dust, industrial emissions, crop burning. | |||
| PM10 | 65.71 µg/m³ | ≤60 µg/m³ (24hr) | Lower is better |
| Coarse particulate matter (diameter <10 µm). Includes dust, pollen, and mold spores. Causes coughing, aggravates asthma, and irritates eyes/throat. Less dangerous than PM2.5 but still a major concern in dusty cities like Raipur. | |||
| NO₂ | 22.75 µg/m³ | ≤40 µg/m³ (annual) | Lower is better |
| Nitrogen Dioxide — reddish-brown gas from vehicle engines and power plants. Irritates airways, worsens asthma, and contributes to smog/acid rain formation. High NO₂ is a strong indicator of traffic-related pollution. | |||
| SO₂ | 16.27 µg/m³ | ≤50 µg/m³ (24hr) | Lower is better |
| Sulfur Dioxide — pungent gas from burning coal, oil, and industrial smelting (steel plants near Raipur). Causes burning sensation in nose/throat, breathing difficulty, and contributes to acid rain which damages buildings and vegetation. | |||
| CO | 0.87 mg/m³ | ≤2 mg/m³ (8hr) | Lower is better |
| Carbon Monoxide — colorless, odorless gas from incomplete combustion (vehicles, generators, burning biomass). Reduces blood's ability to carry oxygen, causing headaches, dizziness. High levels indoors can be fatal. Especially dangerous in enclosed/poorly ventilated areas. | |||
| O₃ | 43.66 µg/m³ | ≤100 µg/m³ (8hr) | Lower is better |
| Ground-level Ozone — unlike protective ozone in upper atmosphere, ground-level O₃ is harmful. Formed when sunlight reacts with vehicle exhaust and industrial emissions. Peaks in afternoon heat. Triggers chest pain, coughing, and throat irritation. Especially harmful for children and elderly. | |||
| NH₃ | 12.29 µg/m³ | ≤400 µg/m³ (24hr) | Lower is better |
| Ammonia — a pungent gas from agricultural fertilizers, animal waste, sewage treatment, and some industrial processes. High concentrations irritate eyes, nose, and throat. Contributes to secondary PM2.5 formation through atmospheric reactions. | |||
Acceptable air quality. Minor concern for unusually sensitive individuals.
Outdoor activities are fine. Unusually sensitive people should consider reducing prolonged outdoor exertion.
Minimal cardiovascular impact. Those with severe heart conditions should monitor symptoms.
Continue normal activities. Keep rescue medications accessible.
Generally safe. Elderly with pre-existing lung/heart conditions should be aware.
Outdoor activities are safe. Avoid areas near heavy traffic or construction.
Safe for family activities. Children with asthma should carry inhalers as a precaution.
Outdoor activities are fine. Choose parks away from busy roads for children's play.
Minimal risk. Pregnant women can continue normal routines with awareness.
Normal activities are safe. Prefer green spaces for walks, avoid standing near traffic.
Mild concern for people with severe asthma or COPD. May notice slight airway irritation.
Keep rescue inhaler handy. Avoid areas with visible dust or smoke. Stay hydrated.
Good for sports. Athletes may notice very slight performance reduction during intense exercise.
Outdoor sports are fine. Prefer morning hours (6-8 AM) when pollution is typically lower.
No water quality data available yet.
No sanitation data available yet.
Infrastructure quality assessed via 9 satellite datasets — ESA WorldCover, GHSL Built Surface/Height/Volume/SMOD, VIIRS Nighttime Lights, Dynamic World, ALOS DEM, and Sentinel-2 indices. Data analysed at 1000m and 3000m buffer radii around each area's centroid via Google Earth Engine.
| Parameter | Value |
|---|---|
| Avg Built Surface per Pixel | 0.0 m² |
| Total Built Surface | 0 m² |
| Built Surface Fraction | 2,631.7% |
| Avg Building Height | 7.45 m |
| Max Building Height | 16.0 m |
| Total Built Volume | 40,699,123 m³ |
| Mean Built Volume per Pixel | 22,781.0 m³ |
| Mean Elevation | 291.4 m | Slope (Mean) | 0.10° |
| Min Elevation | 280.0 m | Slope (Max) | 0.10° |
| Max Elevation | 311.0 m | Elevation Range | 31.0 m |
| Parameter | 1000m | 3000m | Average |
|---|---|---|---|
| Built-up (LULC) | 56.7% | 65.4% | 61.0% |
| Avg Bldg Height | 7.12 m | 7.78 m | 7.45 m |
| Night Radiance | 23.59 | 23.45 | 23.52 |
| Urbanization | 100.0 | 100.0 | 100.0 |
| Dynamic World Built | 84.0% | 84.4% | 84.2% |
| NDBI | -0.0105 | -0.0028 | -0.0100 |
| Impervious Surface | 28.1% | 43.8% | 36.0% |
| Mean Slope | 0.10° | 0.10° | 0.10° |
| Infra Score | 80.4 | 80.6 | 82.0 |
| Parameter | Value |
|---|---|
| Avg Built Surface per Pixel | 2,303.9 m² |
| Total Built Surface | 71,672,988 m² |
| Built Surface Fraction | 2,281.4% |
| Avg Building Height | 7.12 m |
| Max Building Height | 12.0 m |
| Total Built Volume | 5,769,329 m³ |
| Mean Built Volume per Pixel | 18,548.8 m³ |
| Mean Elevation | 292.1 m | Slope (Mean) | 0.10° |
| Min Elevation | 284.0 m | Slope (Max) | 0.10° |
| Max Elevation | 307.0 m | Elevation Range | 23.0 m |
| Parameter | Value |
|---|---|
| Avg Built Surface per Pixel | 3,011.2 m² |
| Total Built Surface | 843,114,725 m² |
| Built Surface Fraction | 2,981.9% |
| Avg Building Height | 7.78 m |
| Max Building Height | 20.1 m |
| Total Built Volume | 75,628,916 m³ |
| Mean Built Volume per Pixel | 27,013.2 m³ |
| Mean Elevation | 290.6 m | Slope (Mean) | 0.10° |
| Min Elevation | 276.0 m | Slope (Max) | 0.10° |
| Max Elevation | 315.0 m | Elevation Range | 39.0 m |
| Parameter | Risk Level | Score | Benchmark | Weight |
|---|---|---|---|---|
| River Flood Risk | Low-Medium | 25 | Low (10) = Safest | 50% |
| Risk of flooding from rivers. Raipur drains into the Mahanadi basin via Kharun, Pairy, and Seonath rivers. Areas near the Kharun River corridor (Mowa, Kachna, Labhandi) face highest risk during monsoon. | ||||
| Urban Waterlogging | Low | 10 | Low (10) = Safest | 50% |
| Risk of urban waterlogging due to inadequate storm-water drainage. RMC data shows 97% incidence of waterlogging in the city with a 52% drainage coverage gap. Dense old-city areas and lake overflow zones are most vulnerable. | ||||
Lower score = safer area. Score is a weighted average of 2 factors:
Score = (River Flood × 50%) + (Waterlogging × 50%)
| Parameter | Value | Description |
|---|---|---|
| Soil Type | Hard alluvial | Primary differentiator — soft soil amplifies earthquake shaking |
| Seismic Zone | Zone II | BIS IS-1893 classification (Zone II = lowest hazard in India) |
| PGA (475-yr) | 0.0155g | Peak Ground Acceleration for 475-year return period (~10% in 50 yrs) |
| PGA (2475-yr) | 0.0325g | Peak Ground Acceleration for 2475-year return period (~2% in 50 yrs) |
| Liquefaction Risk | None | Soil liquefaction potential during seismic events — saturated soils are most susceptible |
| Raw Risk Score | 1/5 | 1/5 = safest (hard soil), 5/5 = highest risk (soft saturated soil in high zone) |
Newer construction area with hard alluvial soil. Standard norms sufficient.
Lower score = safer area. Score based on soil amplification risk (the only differentiator since all of Raipur is BIS Zone II):
Score = Raw Soil Risk (1-5) mapped to 0-100 scale
Land Surface Temperature measures the radiative temperature of the ground from satellite thermal sensors. Higher LST indicates urban heat island effects — more concrete, less shade, and higher energy use. Data is analysed at two buffer radii (1000m and 3000m) using Landsat 8/9 thermal infrared band at 30m resolution.
| Parameter | 1000m | 3000m | Average (Final) |
|---|---|---|---|
| Mean Temp | 30.86°C | 31.04°C | 30.95°C |
| Min Temp | 23.67°C | 21.64°C | 22.66°C |
| Max Temp | 39.66°C | 40.46°C | 40.06°C |
| LST Score | 56.6 | 55.8 | 56.2 |
The Mean Temperature (averaged across 1000m and 3000m buffers) is converted to a 0–100 livability score using a linear scale:
≤20°C → 100 (coolest) | ≥45°C → 0 (hottest) | This score is used in the composite livability calculation.
Open Area score measures the percentage of non-built-up land — open spaces, parks, and room to breathe. Higher score means more open area. Data from ESA WorldCover 2021 at 10m resolution classifies every pixel as built-up or non-built-up.
| Parameter | 1000m | 3000m | Average (Final) |
|---|---|---|---|
| Built-up % | 56.7% | 65.4% | 61.0% |
| Open Space % | 43.3% | 34.6% | 39.0% |
| Score | 43.3 | 34.6 | 39.0 |
Nighttime light radiance captured by VIIRS satellite is a reliable proxy for economic activity and infrastructure quality. Brighter areas indicate better street lighting, commercial activity, and power supply reliability. Higher radiance = more developed and safer neighbourhoods.
| Parameter | 1000m | 3000m | Average (Final) |
|---|---|---|---|
| Avg Radiance | 23.865 | 23.314 | 23.590 |
| Score | 47.7 | 46.6 | 47.2 |
Surface water detection from JRC Global Surface Water dataset maps every water body worldwide at 30m resolution. Areas with lakes, ponds, rivers, and reservoirs score higher — water bodies reduce urban heat, support ecosystems, and enhance quality of life.
| Parameter | 1000m | 3000m | Average (Final) |
|---|---|---|---|
| Permanent Water % | 17.83% | 55.11% | 36.47% |
| Seasonal Water % | 94.76% | 94.87% | 94.82% |
| Score | 100.0 | 100.0 | 100.0 |
Population density estimates from WorldPop at 100m resolution indicate how crowded a neighbourhood is. Lower density areas tend to have less congestion, better air quality, more green space, and quieter living conditions. Data based on 2020 census integration with satellite imagery.
| Parameter | 1000m | 3000m | Average (Final) |
|---|---|---|---|
| Population | 19,367 | 183,873 | 101,620 |
| Density (per km²) | 6,165 | 6,503 | 6,334 |
| Score | 69.2 | 67.5 | 68.3 |
Data sourced from TerraClimate (~4.6 km resolution). Analyses soil moisture, precipitation, evapotranspiration, runoff, and drought index (PDSI) to assess groundwater recharge conditions. Recharge = Precipitation − ET − Runoff. Positive recharge and higher soil moisture indicate healthy groundwater replenishment.
| Parameter | Value | Weight | Sub-Score | Rating |
|---|---|---|---|---|
| Soil Moisture Average annual soil moisture (0–200 mm) |
131.2 mm | 30% | 65.6 /100 | |
| GW Recharge P − ET − Runoff (−200 to +400 mm/yr) |
+2.0 mm/yr | 25% | 33.7 /100 | |
| PDSI (Drought Index) −4 (severe drought) to +4 (very wet) |
3.02 | 20% | 87.7 /100 | |
| SM Trend Soil moisture change 2021→2024 (−50 to +50 mm) |
+0.0 mm | 15% | 50.0 /100 | |
| Precipitation Annual rainfall (800–1800 mm/yr) |
1,876 mm/yr | 10% | 100.0 /100 | |
| Groundwater Score | 100% | 63.1/100 | ||
| Parameter | Value | Weight | Sub-Score | Rating |
|---|---|---|---|---|
| Soil Moisture Average annual soil moisture (0–200 mm) |
131.0 mm | 30% | 65.5 /100 | |
| GW Recharge P − ET − Runoff (−200 to +400 mm/yr) |
+2.2 mm/yr | 25% | 33.7 /100 | |
| PDSI (Drought Index) −4 (severe drought) to +4 (very wet) |
3.03 | 20% | 87.8 /100 | |
| SM Trend Soil moisture change 2021→2024 (−50 to +50 mm) |
+0.0 mm | 15% | 50.0 /100 | |
| Precipitation Annual rainfall (800–1800 mm/yr) |
1,876 mm/yr | 10% | 100.0 /100 | |
| Groundwater Score | 100% | 63.1/100 | ||
| Parameter | Value | Weight | Sub-Score | Rating |
|---|---|---|---|---|
| Soil Moisture Average annual soil moisture (0–200 mm) |
131.4 mm | 30% | 65.7 /100 | |
| GW Recharge P − ET − Runoff (−200 to +400 mm/yr) |
+1.9 mm/yr | 25% | 33.6 /100 | |
| PDSI (Drought Index) −4 (severe drought) to +4 (very wet) |
3.01 | 20% | 87.6 /100 | |
| SM Trend Soil moisture change 2021→2024 (−50 to +50 mm) |
+0.0 mm | 15% | 50.0 /100 | |
| Precipitation Annual rainfall (800–1800 mm/yr) |
1,875 mm/yr | 10% | 100.0 /100 | |
| Groundwater Score | 100% | 63.2/100 | ||
Moderate groundwater conditions. Underground water storage is adequate but may show seasonal variation. Monitor trends and consider water conservation practices.
| Parameter | Value | Weight | Interpretation |
|---|---|---|---|
| Elevation | 288.8 m | 25% | Lower elevation → more water accumulation |
| Slope | 3.74° | 20% | Flatter terrain → water stagnates |
| TWI (Topographic Wetness) | 15.16 | 20% | Higher TWI → natural water collection |
| Impervious Surface | 77.5% | 15% | More concrete/asphalt → less infiltration |
| SAR Wetness | 0 | 10% | Historical wet-signal frequency from Sentinel-1 |
| Soil Moisture | 131 mm | 10% | Higher soil moisture → saturated ground |
Lower score = less susceptible. Score on 0–100 scale:
Score = Elevation(25%) + Slope(20%) + TWI/Flow(20%) + Impervious(15%) + SAR(10%) + Moisture(10%)
| # | Risk | Score | Elev. | Slope | Imperv. | Distance |
|---|---|---|---|---|---|---|
| 1 | Moderate | 46.7 | 288.8m | 3.7° | 77.5% | 926m |
No risk factor data available for this area yet.
View Risk Factors MapScored using Google Maps and OpenStreetMap data: police stations, fire stations, hospitals, clinics, pharmacies and overall emergency coverage. This is a special experimental parameter not included in the composite score.
Moderate safety coverage. Most emergency services are accessible, though some may require a short drive. Hospital and pharmacy availability is reasonable.
| Category | Count | Max | Score | Progress |
|---|---|---|---|---|
| Hospitals (500m) | 1 | 3 | 33 /100 |
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Hospitals (500m) — 1 places within 500m
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| Hospitals (2km) | 19 | 5 | 100 /100 |
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Hospitals (2km) — 19 places within 2km
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| Schools (1km) | 7 | 5 | 100 /100 |
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Schools (1km) — 7 places within 1km
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| Markets (1km) | 6 | 3 | 100 /100 |
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Markets (1km) — 6 places within 1km
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| Parks (500m) | 4 | 3 | 100 /100 |
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Parks (500m) — 4 places within 500m
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| BRTS/Bus Stop (1km) | 1 | 2 | 50 /100 |
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BRTS/Bus Stop (1km) — 1 places within 1km
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| Pharmacy (2km) | 20 | 3 | 100 /100 |
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Pharmacy (2km) — 20 places within 2km
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| Banks (1km) | 7 | 3 | 100 /100 |
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Banks (1km) — 7 places within 1km
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| Restaurants (1km) | 10 | 5 | 100 /100 |
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Restaurants (1km) — 10 places within 1km
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| Worship (1km) | 5 | 3 | 100 /100 |
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Worship (1km) — 5 places within 1km
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| Transport Services (1km) | 16 | 4 | 100 /100 |
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Transport Services (1km) — 16 places within 1km
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| Total (sum of 11 categories) | 983/1100 | |||
| Amenity Score (Total ÷ 11) | 89.36 /100 |
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Quiet Score data not available for this area.
Parameters: Daytime noise dB, nighttime noise dB, proximity to highways, industrial zonesNDVI (Normalized Difference Vegetation Index) is a satellite-based measurement that detects how green and healthy vegetation is from space. This data is analysed at two buffer radii — 1000m and 3000m — around the area centre using Landsat 8/9 OLI (estimated) satellite imagery at 30m resolution. The final green cover score is the average of both radii, giving a balanced view of your immediate neighbourhood (1km) and wider surroundings (3km).
Moderate greenery — mix of gardens, roadside trees, and scattered vegetation. Typical of well-planned residential areas.
Below average green coverage. Scattered trees and small gardens are present, but green spaces are limited.
% of area with any meaningful greenerySome areas with thick tree cover — likely parks, institutional campuses, or green belts.
% of area with thick tree cover / parksEach parameter is scored 0–100 and combined using weighted averages:
| Parameter | Value | Weight | Sub-Score | Rating |
|---|---|---|---|---|
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NDVI Mean
Average greenness index. Scale: 0 (no plants) → 0.5+ (lush forest). |
0.232 | 40% | 46.4 /100 |
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Vegetation Coverage
% of land with meaningful greenery (grass, shrubs, trees). |
24.9% | 30% | 24.9 /100 |
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Dense Green Cover
% of land with thick, healthy tree cover (parks, gardens, forests). |
10.1% | 20% | 20.2 /100 |
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Parks within 500m
Number of public parks/gardens within walking distance. |
0 | 10% | 0 /100 |
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| Averaged (1000m + 3000m) Green Score | 30.1 /100 |
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Moderate greenery — mix of gardens, roadside trees, and scattered vegetation. Typical of well-planned residential areas.
Below average green coverage. Scattered trees and small gardens are present, but green spaces are limited.
% of area with any meaningful greenerySome areas with thick tree cover — likely parks, institutional campuses, or green belts.
% of area with thick tree cover / parksEach parameter is scored 0–100 and combined using weighted averages:
| Parameter | Value | Weight | Sub-Score | Rating |
|---|---|---|---|---|
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NDVI Mean
Average greenness index. Scale: 0 (no plants) → 0.5+ (lush forest). |
0.210 | 40% | 42 /100 |
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Vegetation Coverage
% of land with meaningful greenery (grass, shrubs, trees). |
25.2% | 30% | 25.2 /100 |
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Dense Green Cover
% of land with thick, healthy tree cover (parks, gardens, forests). |
11.2% | 20% | 22.3 /100 |
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Parks within 500m
Number of public parks/gardens within walking distance. |
0 | 10% | 0 /100 |
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| 1000m Buffer Green Score | 28.8 /100 |
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Moderate greenery — mix of gardens, roadside trees, and scattered vegetation. Typical of well-planned residential areas.
Below average green coverage. Scattered trees and small gardens are present, but green spaces are limited.
% of area with any meaningful greeneryFew pockets of dense trees. Most vegetation is sparse grass, shrubs, or scattered trees.
% of area with thick tree cover / parksEach parameter is scored 0–100 and combined using weighted averages:
| Parameter | Value | Weight | Sub-Score | Rating |
|---|---|---|---|---|
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NDVI Mean
Average greenness index. Scale: 0 (no plants) → 0.5+ (lush forest). |
0.254 | 40% | 50.8 /100 |
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Vegetation Coverage
% of land with meaningful greenery (grass, shrubs, trees). |
24.7% | 30% | 24.7 /100 |
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Dense Green Cover
% of land with thick, healthy tree cover (parks, gardens, forests). |
9.0% | 20% | 18 /100 |
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Parks within 500m
Number of public parks/gardens within walking distance. |
0 | 10% | 0 /100 |
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| 3000m Buffer Green Score | 31.3 /100 |
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| Parameter | 1000m | 3000m | Average (Final) |
|---|---|---|---|
| NDVI Mean | 0.210 | 0.254 | 0.232 |
| Vegetation % | 25.2% | 24.7% | 24.9% |
| Dense Green % | 11.2% | 9.0% | 10.1% |
| Barren % | 52.9% | 40.5% | 46.7% |
| Tree Canopy % | 12.7% | 13.7% | 13.2% |
| Green Score | 28.8 | 31.3 | 30.1 |
Below Average Green Cover
Limited greenery in this area. The urban heat island effect is likely noticeable — expect hotter summers and more dust. Air quality may also be impacted. Look for areas with individual gardens or compound trees to partially offset this.
Consider: proximity to any nearby parks or green belts outside this immediate zone.
Raipur context: As per satellite LULC data, Raipur's urban green cover has been declining due to rapid construction. WHO recommends 9 sq.m green space per person — most Indian cities fall short. Nava Raipur's planned sectors show higher NDVI due to mandatory green belt provisions.
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Areas with comparable livability scores
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| PIC heightS | PCGRERA220618000275 | Ongoing | 1.56 km |
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| ARYAPOLIS | PCGRERA090718000509 | Ongoing | 1.86 km |
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| imperial heights | PCGRERA040718000442 | Ongoing | 1.93 km |
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| TIRUPATI ENCLAVE COMMERCIAL | PCGRERA050618000041 | Ongoing | 1.99 km |
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| KANCHAN VIHAR PHASE - I | PCGRERA260618000340 | Ongoing | 2.00 km |
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| TIRUPATI ENCLAVE PHASE-03 | PCGRERA281021001294 | New | 2.00 km |
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| kanchan vihar phase -ii | PCGRERA250618000316 | Ongoing | 2.00 km |
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| TIRUPATI ENCLAVE PHASE -I | PCGRERA050618000040 | Ongoing | 2.00 km |
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| TIRUPATI ENCLAVE PHASE- II | PCGRERA130618000126 | Ongoing | 2.00 km |
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| fortune residency | PCGRERA070819001021 | New | 2.03 km |
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| CONSTRUCTION & DEVELOPMNT OF 96 LIG (G+6)&48 EWS (G+6) FLATS AT PHASE-3 KABIR NAGAR RAIPUR | PCGRERA200921001263 | New | 2.11 km |
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| CELEBRITY HOMES | PCGRERA120319000938 | Ongoing | 2.18 km |
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| govinda green | PCGRERA210921001268 | New | 2.27 km |
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| sun city | PCGRERA050618000031 | Ongoing | 2.29 km |
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| HARSHIT LANDMARK (PHASE-III, BLOCK -E & F) | PCGRERA270618000352 | Ongoing | 2.92 km |
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| HARSHIT LANDMARK (PHASE-II, BLOCK- C & D) | PCGRERA270618000349 | Ongoing | 2.96 km |
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| harshit landmark (phase-i, block -a&b) | PCGRERA160718000539 | Ongoing | 2.96 km |
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| METROPOLIS | PCGRERA201119001071 | Ongoing | 3.15 km |
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| RAHEJA TOWER | PCGRERA150618000197 | Ongoing | 3.41 km |
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| KRISHNA'S PARADISE PHASE - II | PCGRERA270918000784 | Ongoing | 3.43 km |
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| R EMINENCE MALL | PCGRERA070718000500 | Ongoing | 3.46 km |
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| ANAND ARCADE | PCGRERA200818000705 | Ongoing | 3.47 km |
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| WALLFORT ALANCIA | PCGRERA220722001475 | New | 3.51 km |
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| WALLFORT ALANCIA | PCGRERA160618000218 | Ongoing | 3.53 km |
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| WALLFORT SAPPHIRE | PCGRERA210618000260 | Ongoing | 3.54 km |
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| Avinash pride | PCGRERA191222001563 | New | 3.57 km |
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| LALGANGA MIDAS | PCGRERA220618000290 | Ongoing | 3.59 km |
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| shree ram vihar | PCGRERA040920001139 | New | 3.65 km |
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| PMAY OF 58 DUS AT NEAR DKS PARISAR ,RAIPUR | PCGRERA270223001613 | Ongoing | 3.72 km |
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| ASK GRANDIOSE | PCGRERA090818000683 | New | 3.80 km |
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| ASK PARADISE | PCGRERA090818000676 | Ongoing | 3.81 km |
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| VEDANTA VATIKA | PCGRERA240624001788 | New | 3.82 km |
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| MANJEET SMART HOMES | PCGRERA150219000924 | New | 3.84 km |
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| SAMRAJYA RESIDENCY | PCGRERA280818000727 | New | 3.84 km |
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| ask business triangle (abt) | PCGRERA131221001302 | New | 3.85 km |
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| admire green phase- 1 | PCGRERA241220001171 | New | 3.89 km |
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| PARTHIVI PROVINCE SARONA | PCGRERA190618000233 | Ongoing | 3.89 km |
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| DREAM CITY | PCGRERA150319000942 | New | 3.90 km |
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| SANTI ENCLAVE | PCGRERA170718000575 | Ongoing | 3.91 km |
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| URBAN ESTATE | PCGRERA240123001595 | New | 4.00 km |
|
The Amenity Score for Bhavani Nagar is calculated by averaging 11 category sub-scores:
Each category scores 0-100 based on how many amenities are found within a specific radius:
| Category | Search Radius | Max Count for 100 | Points per Amenity | Formula |
|---|---|---|---|---|
| Hospitals (500m) | 500m | 3 | 33 | min(100, count × 33) |
| Hospitals (2km) | 2km | 5 | 20 | min(100, count × 20) |
| Schools (1km) | 1km | 5 | 20 | min(100, count × 20) |
| Markets (1km) | 1km | 3 | 33 | min(100, count × 33) |
| Parks (500m) | 500m | 3 | 33 | min(100, count × 33) |
| BRTS/Bus Stop (1km) | 1km | 2 | 50 | min(100, count × 50) |
| Pharmacy (2km) | 2km | 3 | 33 | min(100, count × 33) |
| Banks (1km) | 1km | 3 | 33 | min(100, count × 33) |
| Restaurants (1km) | 1km | 5 | 20 | min(100, count × 20) |
| Worship (1km) | 1km | 3 | 33 | min(100, count × 33) |
| Transport Services (1km) | 1km | 4 | 25 | min(100, count × 25) |
| Category | Found | Raw (count × pts) | Capped at 100 |
|---|---|---|---|
| Hospitals (500m) | 1 | 1 × 33 = 33 | 33 |
| Hospitals (2km) | 19 | 19 × 20 = 380 | 100 (capped) |
| Schools (1km) | 7 | 7 × 20 = 140 | 100 (capped) |
| Markets (1km) | 6 | 6 × 33 = 198 | 100 (capped) |
| Parks (500m) | 4 | 4 × 33 = 132 | 100 (capped) |
| BRTS/Bus Stop (1km) | 1 | 1 × 50 = 50 | 50 |
| Pharmacy (2km) | 20 | 20 × 33 = 660 | 100 (capped) |
| Banks (1km) | 7 | 7 × 33 = 231 | 100 (capped) |
| Restaurants (1km) | 10 | 10 × 20 = 200 | 100 (capped) |
| Worship (1km) | 5 | 5 × 33 = 165 | 100 (capped) |
| Transport Services (1km) | 16 | 16 × 25 = 400 | 100 (capped) |
| Sum of all categories | 2589 | 983 | |
| Final Score = 983 ÷ 11 | 89.36/100 | ||
The Air Quality Index (AQI) is a standardised indicator (0–500) that communicates how polluted the air currently is. A lower AQI means cleaner air.
The overall AQI equals the highest sub-index among all measured pollutants. Each sub-index is calculated by linear interpolation between CPCB/EPA breakpoints for that pollutant's concentration.
| AQI Range | Category | Health Impact |
|---|---|---|
| 0 – 50 | Good | Minimal impact |
| 51 – 100 | Satisfactory | Minor breathing discomfort to sensitive people |
| 101 – 200 | Moderate | Breathing discomfort to people with lung/heart disease |
| 201 – 300 | Poor | Breathing discomfort on prolonged exposure |
| 301 – 400 | Very Poor | Respiratory illness on prolonged exposure |
| 401 – 500 | Severe | Affects healthy people; serious impact on those with existing diseases |
Each pollutant's sub-index is calculated using linear interpolation:
Ip = ( (IHi − ILo) / (BPHi − BPLo) ) × (Cp − BPLo) + ILo
| AQI | PM2.5 (µg/m³) 24-hr avg |
PM10 (µg/m³) 24-hr avg |
NO₂ (µg/m³) 24-hr avg |
SO₂ (µg/m³) 24-hr avg |
CO (mg/m³) 8-hr avg |
O₃ (µg/m³) 8-hr avg |
NH₃ (µg/m³) 24-hr avg |
|---|---|---|---|---|---|---|---|
| Good (0–50) | 0–30 | 0–50 | 0–40 | 0–40 | 0–1.0 | 0–50 | 0–200 |
| Satisfactory (51–100) | 31–60 | 51–100 | 41–80 | 41–80 | 1.1–2.0 | 51–100 | 201–400 |
| Moderate (101–200) | 61–90 | 101–250 | 81–180 | 81–380 | 2.1–10 | 101–168 | 401–800 |
| Poor (201–300) | 91–120 | 251–350 | 181–280 | 381–800 | 10.1–17 | 169–208 | 801–1200 |
| Very Poor (301–400) | 121–250 | 351–430 | 281–400 | 801–1600 | 17.1–34 | 209–748 | 1201–1800 |
| Pollutant | Value | Unit | Category Impact |
|---|---|---|---|
| PM2.5 | 18.75 | µg/m³ | Good |
| PM10 | 65.71 | µg/m³ | Satisfactory |
| NO₂ | 22.75 | µg/m³ | Good |
| SO₂ | 16.27 | µg/m³ | Good |
| CO | 0.87 | mg/m³ | Good |
| O₃ | 43.66 | µg/m³ | Good |
| NH₃ | 12.29 | µg/m³ | Good |
Overall AQI = max of all sub-indices = 58 Satisfactory
| AQI Range | Air Quality Score (for Livability) | Method |
|---|---|---|
| 0 – 500 | max(0, 100 − AQI) | Inverted: lower AQI = higher livability |
For Bhavani Nagar: Air Score = max(0, 100 − 58) = 42/100
The Normalized Difference Vegetation Index (NDVI) measures vegetation health using satellite imagery:
NIR = Near-Infrared reflectance (Landsat 8/9 Band 5)
Red = Red light reflectance (Landsat 8/9 Band 4)
Range: −1 (water) to +1 (dense vegetation)
| NDVI Range | Category | Description |
|---|---|---|
| < 0.0 | Water | Water bodies, rivers, ponds |
| 0.0 – 0.1 | Barren | Bare soil, rock, sand, built-up areas |
| 0.1 – 0.2 | Sparse | Sparse vegetation, urban green, scattered shrubs |
| 0.2 – 0.4 | Moderate | Grassland, cropland, gardens, roadside trees |
| 0.4 – 0.6 | Dense | Dense parks, plantation, forest patches |
| > 0.6 | Very Dense | Closed canopy forest, dense tropical vegetation |
| Component | Raw Value | Sub-Score | Weight | Contribution |
|---|---|---|---|---|
| NDVI Mean | 0.232 | 46.4/100 | 40% | 18.56 |
| Vegetation Coverage | 24.9% | 24.9/100 | 30% | 7.47 |
| Dense Green Cover | 10.1% | 20.2/100 | 20% | 4.04 |
| Parks within 500m | 0 | 0/100 | 10% | 0 |
| Green Cover Score | 30.1/100 | |||
ee.Image.normalizedDifference(['B5', 'B4']) — per GEE TutorialThe Flood Risk Score measures an area's vulnerability to river flooding and urban waterlogging. Lower score = safer area.
| Parameter | Weight | Description | Risk → Score |
|---|---|---|---|
| River Flood Risk | 50% | Proximity to rivers (Kharun, Pairy, Seonath) and flood history | Low = 10, Low-Medium = 25, Medium = 40, High = 70, Very High = 85 |
| Urban Waterlogging | 50% | Storm-water drainage adequacy and monsoon waterlogging history | Low = 10, Low-Medium = 25, Medium = 40, High = 70, Very High = 85 |
Flood Risk Score = (River Flood × 50%) + (Waterlogging × 50%)
| Zone | Area | River Flood | Waterlogging | Overall | Score |
|---|---|---|---|---|---|
| Zone 4 | Civil Lines/Sadarbazar | Low | Low | 🟢 Lowest | 10 |
| Zone 10 | Kamhal Vihar/Devpuri | Low | Low | 🟢 Lowest | 10 |
| Zone 8 | Tatibandh/Mahadevahat | Low-Medium | Low | 🟡 Low-Medium | 17.5 |
| Zone 1 | North-West | Medium | Low | 🟡 Low-Medium | 25 |
| Zone 5 | Dangania/South | Medium | Medium | 🟡 Medium | 40 |
| Zone 6 | Bhathagaon/Tikrapara | Medium | Medium | 🟡 Medium | 40 |
| Zone 2 | Railway/Pandri | Medium | High | 🔴 High | 55 |
| Zone 3 | Shankar Nagar/Telibandha | Medium | High | 🔴 High | 55 |
| Zone 7 | Tatya Para/Geeta Nagar | Medium | High | 🔴 High | 55 |
| Zone 9 | Saddu/Mowa/Kachna | High | High | 🔴 Highest | 70 |
The Livability Report is a single number (0–100) that represents the overall quality of life in a neighbourhood. It is the simple average of all available sub-scores.
Livability Report = Average of all available sub-scores100 − AQI (lower AQI = better air = higher score)100 − flood_risk_score (lower risk = safer = higher score)100 − earthquake_score (lower risk = safer = higher score)
| # | Parameter | Source | Conversion for Composite |
|---|---|---|---|
| 1 | Air Quality | Google AQI / AQICN | 100 − AQI (AQI 41 → 59) |
| 2 | Water Quality | BIS IS-10500 parameters | Direct (0–100) |
| 3 | Sanitation | RMC/NRANVP sanitation data | Direct (0–100) |
| 4 | Amenities | Google Places API | Direct (0–100) |
| 5 | Quiet Score | Noise level analysis | Direct (0–100) |
| 6 | Green Cover | NDVI satellite analysis | Direct (0–100) |
| 7 | Flood Risk | NDMA/ThinkHazard | 100 − score (risk 10 → 90) |
| 8 | Earthquake Risk | BIS IS-1893/NDMA | 100 − score (risk 10 → 90) |
Infrastructure score is planned but not yet included. Only parameters with available data are averaged — NULL values are skipped, not treated as zero.
| Grade | Score Range | Meaning | Recommendation |
|---|---|---|---|
| A | 80–100 | Excellent livability | Top-tier neighbourhood. Premium pricing justified. Ideal for families. |
| B | 60–79 | Good livability | Well-served area. Good balance of infrastructure and environment. Recommended for most buyers. |
| C | 40–59 | Average livability | Some gaps in amenities or environment. Check specific weak parameters before deciding. |
| D | 20–39 | Below average | Significant gaps. Suitable only if specific advantages (price, location) outweigh livability concerns. |
| F | 0–19 | Poor livability | Major livability issues. Not recommended for residential investment without significant improvement plans. |
The Earthquake Risk Score measures an area's seismic vulnerability based on soil type and amplification potential. Lower score = safer area.
Since all of Raipur is uniformly Zone II, the only meaningful differentiator is soil type. Soft, saturated, or filled soils amplify distant earthquake shaking more than hard alluvial or laterite soils. This is called site amplification effect per IS 1893.
Score = Soil-based raw risk (1–5) mapped to 0–100 scale| Raw Score | Earthquake Score | Soil Type | Risk Level |
|---|---|---|---|
| 1/5 | 10 | Hard alluvial / laterite / rock | 🟢 Low |
| 2/5 | 25 | Soft alluvial / fill / saturated riverine | 🟡 Low-Medium |
| 3/5 | 45 | Mixed weak soil | 🟠 Medium |
| 4/5 | 65 | Very soft / liquefiable | 🔴 High |
| 5/5 | 85 | Extreme soft / reclaimed | 🔴 Very High |
| Zone | Area | Soil Type | Liquefaction | Risk | Score |
|---|---|---|---|---|---|
| Zone 1 | North-West Raipur | Hard alluvial | None | 🟢 Low | 10 |
| Zone 2 | Railway/Pandri | Old fill / made land | Low | 🟡 Low-Medium | 25 |
| Zone 3 | Shankar Nagar/Telibandha | Mixed alluvial, lake-fringe | None | 🟢 Low | 10 |
| Zone 4 | Civil Lines/Sadarbazar | Hard alluvial | None | 🟢 Low | 10 |
| Zone 5 | Dangania/South | Mixed alluvial | None | 🟢 Low | 10 |
| Zone 6 | Bhathagaon/Tikrapara | Mixed alluvial | None | 🟢 Low | 10 |
| Zone 7 | Tatya Para/Geeta Nagar | Soft alluvial (Kharun corridor) | Low | 🟡 Low-Medium | 25 |
| Zone 8 | Tatibandh/Mahadevahat | Hard alluvial | None | 🟢 Low | 10 |
| Zone 9 | Saddu/Mowa/Kachna | Soft saturated riverine | Medium | 🟡 Low-Medium | 25 |
| Zone 10 | Kamhal Vihar/Devpuri | Hard alluvial, plateau approach | None | 🟢 Low | 10 |
| Nava Raipur (all sectors): Hard laterite / rock — 🟢 Low (score: 10) — Best seismic profile | |||||
The Land Surface Temperature (LST) Score measures the thermal comfort of an area from satellite data. Lower surface temperature = higher score (better livability).
LST Score = max(0, min(100, ((45 - mean_temp) / 25) × 100))| Mean LST (°C) | Score | Category |
|---|---|---|
| ≤ 20°C | 100 | ❄️ Cool — Perfect |
| 25°C | 80 | 🌤️ Comfortable |
| 30°C | 60 | 🌤️ Moderate |
| 35°C | 40 | ☀️ Warm |
| 40°C | 20 | 🔥 Hot |
| ≥ 45°C | 0 | 🔥 Extreme Heat |
The Open Area Score measures the percentage of non-built-up land — open spaces, parks, vegetation and room to breathe. Higher open space percentage = higher score.
Open Area Score = 100 - builtup_percentage| Open Space % | Built-up % | Score | Category |
|---|---|---|---|
| 90-100% | 0-10% | 90-100 | 🌳 Spacious |
| 70-90% | 10-30% | 70-90 | 🏡 Very Open |
| 50-70% | 30-50% | 50-70 | 🏘️ Moderate |
| 30-50% | 50-70% | 30-50 | 🏙️ Limited |
| 10-30% | 70-90% | 10-30 | 🏗️ Very Limited |
| 0-10% | 90-100% | 0-10 | 🏢 Extremely Dense |
The Nighttime Lights (NTL) Score measures urban illumination intensity as a proxy for infrastructure quality and economic activity. Higher radiance = higher score (better infrastructure).
NTL Score = min(100, (avg_radiance / 50) × 100)| Avg Radiance (nW/cm²/sr) | Score | Category |
|---|---|---|
| 0-5 | 0-10 | 🌑 Dark — Minimal infrastructure |
| 5-15 | 10-30 | 🌙 Dim — Rural/developing |
| 15-25 | 30-50 | 🔆 Moderate — Residential |
| 25-35 | 50-70 | 💡 Bright — Active commercial |
| 35-50 | 70-100 | 💡 Very Bright — Major hub |
| ≥ 50 | 100 | 💡 Maximum — City centre |
The Water Bodies Score measures the presence of surface water (lakes, ponds, rivers, reservoirs) in and around an area. More water bodies = higher score (better livability).
Permanent Score = min(100, (permanent_water_pct / 10) × 100)Seasonal Score = min(100, (seasonal_water_pct / 15) × 100)Water Score = (Permanent × 0.7) + (Seasonal × 0.3)| Permanent Water % | Approx Score | Category |
|---|---|---|
| 0% | 0 | 🏜️ No water bodies |
| 0.1-1% | 7-10 | 💦 Minimal |
| 1-3% | 10-30 | 💧 Some water |
| 3-5% | 30-50 | 💧 Moderate |
| 5-10% | 50-100 | 🌊 Significant water |
| ≥ 10% | 100 | 🌊 Maximum — Lakefront |
The Population Density Score measures how crowded a neighbourhood is based on gridded population estimates. Lower density = higher score (less congestion, more space).
Pop Density Score = max(0, ((20000 - density_per_km²) / 20000) × 100)| Density (people/km²) | Score | Category |
|---|---|---|
| 0-2,000 | 90-100 | 🏡 Low Density — Spacious |
| 2,000-5,000 | 75-90 | 🏡 Moderate-Low |
| 5,000-8,000 | 60-75 | 🏘️ Moderate |
| 8,000-12,000 | 40-60 | 🏙️ Dense |
| 12,000-18,000 | 10-40 | 🏢 Very Dense |
| ≥ 20,000 | 0 | 🏢 Extremely Dense |
The Groundwater Score evaluates underground water balance and recharge conditions using high-resolution satellite-derived climate data. Higher soil moisture, positive recharge, and wetter PDSI = higher score.
| Parameter | Weight | Scoring Range |
|---|---|---|
| Soil Moisture (mm) | 30% | 0 = 0, 200+ = 100 |
| GW Recharge (mm/yr) | 25% | −200 = 0, +400 = 100 |
| PDSI (drought index) | 20% | −4 = 0, +4 = 100 |
| SM Trend (mm change) | 15% | −50 = 0, +50 = 100 |
| Precipitation (mm/yr) | 10% | 800 = 0, 1800 = 100 |
Score = (SM×0.30) + (Recharge×0.25) + (PDSI×0.20) + (Trend×0.15) + (Precip×0.10)
The Waterlogging Score estimates how prone an area is to water stagnation during heavy rainfall, using multi-source satellite terrain analysis. Lower score = less susceptible = better.
| Parameter | Weight | Logic |
|---|---|---|
| Elevation (m) | 25% | Lower elevation → higher score (water pools in low areas) |
| Slope (°) | 20% | Flatter terrain → higher score (water can't drain) |
| TWI / Flow Accumulation | 20% | Higher TWI → higher score (natural water collection points) |
| Impervious Surface (%) | 15% | More concrete/asphalt → higher score (no infiltration) |
| SAR Wetness Frequency | 10% | More frequent wet signals → higher score (historically floods) |
| Soil Moisture (mm) | 10% | Higher moisture → higher score (saturated ground) |
Score = Elevation(25%) + Slope(20%) + TWI(20%) + Impervious(15%) + SAR(10%) + Moisture(10%)
The Infrastructure Score evaluates urban development quality using 9 satellite datasets — assessing built-up density, building heights, nighttime illumination, road surfaces, terrain, greenery, and urbanization level. Higher score = better infrastructure.
| Parameter | Weight | Scoring Logic |
|---|---|---|
| Urbanization Index (SMOD) | 20% | Direct 0–100 scale from GHSL SMOD |
| Built-up Density (ESA) | 15% | Optimal 30–60%; 0%=0, 60%=100, >60% declines |
| Nighttime Light Stability | 15% | Stability index × 100 (proxy for reliable power) |
| Avg Building Height (GHSL) | 10% | 0m=0, 10m=100 (taller = better vertical infra) |
| Impervious Surface % | 10% | Optimal 10–40%; >40% declines (roads/concrete) |
| Nighttime Radiance (VIIRS) | 10% | 0=0, 50 nW/cm²/sr=100 (electrification proxy) |
| Terrain Slope (ALOS DEM) | 10% | Flat=100, steep declines (road-building ease) |
| Green Cover (Tree+Grass) | 10% | 0%=0, 30%=100 (livability greenery balance) |
Score = Weighted average of available parameters (NULL values excluded)
The Safety Score evaluates the availability and proximity of emergency services — police, fire, hospitals, and pharmacies — within an area. Scored on a 0–100 scale (higher = safer / better covered).
Each sub-score is normalised to 0–100 using count and proximity scoring with distance-based decay. This is a special experimental parameter not included in the composite livability score.
| Sub-Score | Weight | How It's Scored | Details |
|---|---|---|---|
| Police Presence | 20% |
|
Binary presence check: scores 100 if any police station exists nearby (OSM or Google data), 0 otherwise. |
| Fire Station Response | 15% |
|
Binary presence check: scores 100 if any fire station exists nearby (OSM or Google Maps data), 0 otherwise. |
| Hospital Access | 35% |
|
Includes hospitals and clinics from Google Maps data. Highest weighted sub-score because healthcare proximity is critical. |
| Pharmacy & First Aid | 15% |
|
Minimum service check capped at 2. Pharmacies provide first-line medical access. |
| Emergency Coverage | 15% |
|
Binary check: does the area have at least one of each emergency service type? Max 100 if all four present. |
| Score Range | Rating | Meaning |
|---|---|---|
| 80 – 100 | Excellent | Comprehensive emergency coverage with nearby services |
| 60 – 79 | Good | Good emergency access with minor gaps |
| 40 – 59 | Moderate | Partial coverage — some services distant or absent |
| 0 – 39 | Poor | Limited emergency infrastructure — significant gaps |
Google Maps Places API + OpenStreetMap
Emergency services data is sourced from Google Maps Places API (police stations, fire stations, hospitals, clinics, pharmacies) enriched with OpenStreetMap amenity data. Distance calculations use the Haversine formula from each area's centroid to the nearest service locations.