Sector 22 is a sector in नवा रायपुर (north) with 🟡 सामान्य रहने योग्यता livability (Score: 51.67/100, Grade: C).
मज़बूत पक्ष: वायु गुणवत्ता, खुला क्षेत्र, स्वच्छता · सुधार आवश्यक: जनसंख्या घनत्व, सुविधाएँ
सबसे उपयुक्त: सभी निवासी
Click any metric card to explore detailed parameters
Historical parameter scores over the past 14 data points 11 Mar — 05 Apr 2026
| मापदंड | मान | NAAQS सीमा | दिशा |
|---|---|---|---|
| AQI Good | 42 | 0–50 Good | कम बेहतर है |
| 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 | 20.15 µg/m³ | ≤40 µg/m³ (24hr) | कम बेहतर है |
| 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 | 33.80 µg/m³ | ≤60 µg/m³ (24hr) | कम बेहतर है |
| 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 | 24.16 µg/m³ | ≤40 µg/m³ (annual) | कम बेहतर है |
| 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 | 6.52 µg/m³ | ≤50 µg/m³ (24hr) | कम बेहतर है |
| 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 | 0.38 mg/m³ | ≤2 mg/m³ (8hr) | कम बेहतर है |
| 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 | 9.80 µg/m³ | ≤100 µg/m³ (8hr) | कम बेहतर है |
| 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 | 8.73 µg/m³ | ≤400 µg/m³ (24hr) | कम बेहतर है |
| 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. | |||
Air quality is satisfactory. No health risk for the general population.
Enjoy outdoor activities freely. Good day for exercise in parks and open spaces.
No cardiovascular risk from air quality. Heart patients can be active normally.
Normal activity. Continue prescribed medications and exercise routine.
No special concern for elderly. Safe for morning/evening walks.
Enjoy outdoor walks and activities. Stay hydrated.
Safe for all family members including children. No restrictions on outdoor play.
Enjoy family outings, park visits, and outdoor sports. Great day for picnics!
No air quality concern for pregnant women. Safe for prenatal walks and exercises.
Continue prenatal exercises and walks. Stay well-hydrated with clean drinking water.
No respiratory concern. Asthma and COPD patients can be active outdoors.
Normal activity. Carry rescue inhaler as precaution. Great day for breathing exercises.
Excellent conditions for all outdoor sports and exercise. Full lung capacity available.
All outdoor sports are safe — running, cycling, cricket, yoga in parks. Hydrate well!
| मापदंड | मान | आदर्श | स्कोर | रेटिंग |
|---|---|---|---|---|
| TDS उत्कृष्ट | 265.94 ppm | ≤300 ppm | 100 /100 |
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| कुल घुलनशील ठोस पदार्थ — पानी में घुले खनिज, नमक और धातुओं को मापता है। अधिक TDS पानी को नमकीन/कड़वा बनाता है, पाइपों में जमाव होता है और प्रदूषण का संकेत हो सकता है। BIS स्वीकार्य सीमा: 500 ppm। कम बेहतर है | ||||
| pH स्तर उत्कृष्ट | 7.44 | 6.5–8.5 | 100 /100 |
|
| पानी की अम्लता (pH<7) या क्षारीयता (pH>7) मापता है। अधिक अम्लीय पानी पाइपों को संक्षारित करता है; अधिक क्षारीय पानी स्केल जमा करता है और कड़वा स्वाद देता है। तटस्थ pH 7.0 आदर्श है। BIS सीमा: 6.5–8.5। 7.0 के करीब बेहतर है | ||||
| जल आपूर्ति अच्छा | 12 घंटे/दिन | 24 घंटे | 50 /100 |
|
| प्रतिदिन पाइप जल आपूर्ति के घंटे। 24/7 निरंतर आपूर्ति आदर्श है। रुक-रुक कर आपूर्ति से पाइपों में नकारात्मक दबाव बनता है जो आसपास की मिट्टी से प्रदूषक खींचता है। अधिक बेहतर है | ||||
| फ्लोराइड उत्कृष्ट | 0.42 mg/L | ≤1.0 mg/L | 100 /100 |
|
| पानी में फ्लोराइड सांद्रता। कम मात्रा (0.5–1.0 mg/L) दंत क्षय रोकने में मदद करती है, लेकिन अधिक फ्लोराइड (>1.5 mg/L) डेंटल फ्लोरोसिस और कंकाल फ्लोरोसिस का कारण बनता है। BIS सीमा: 1.0 mg/L (स्वीकार्य), 1.5 mg/L (अधिकतम)। कम बेहतर है | ||||
| Total (sum of 4 params) | 350/400 | |||
| Water Score (Total ÷ 4) बहुत अच्छा | 87.5 /100 |
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| मापदंड | पूर्व-मानसून | मानसून | उत्तर-मानसून | BIS सीमा |
|---|---|---|---|---|
| नाइट्रेट (NO₃⁻-N) | 12.96 mg/L | — | 11.95 mg/L | ≤10.16 mg/L (as N) |
CWC reports nitrate as NO₃⁻-N. Converted to standard NO₃⁻ (×4.427) for BIS comparison:
| स्टेशन | रिपोर्ट (N के रूप में) | NO₃⁻ के रूप में | BIS सीमा | स्थिति |
|---|---|---|---|---|
| Patharidih (Kharun) | 20.71 mg/L | ~91.7 mg/L | 45 mg/L | 🔴 2× over limit |
| Simga (Seonath) | 12.96 mg/L | ~57.4 mg/L | 45 mg/L | 🔴 Over limit |
| Gatora-2 (Arpa) | 29.87 mg/L | ~132.4 mg/L | 45 mg/L | 🔴 3× over limit |
| मापदंड | यह क्या मापता है | बेहतर दिशा | BIS मानक |
|---|---|---|---|
| TDS | Total Dissolved Solids — dissolved minerals, salts & metals. High TDS causes salty/bitter taste and pipe scaling. | ↓ Lower | ≤500 ppm (acceptable) ≤2000 ppm (max) |
| pH Level | Acidity/alkalinity of water. Too acidic corrodes pipes; too alkaline causes scale buildup. Best at neutral 7.0. | ≈ Closer to 7.0 | 6.5–8.5 |
| Supply Hours | Hours of piped water per day. Intermittent supply draws contaminants into pipes and forces tank storage (bacterial growth). | ↑ Higher | 24 hrs (ideal) |
| Fluoride | Fluoride concentration. Small amounts prevent cavities; excess causes dental/skeletal fluorosis (bone damage). | ↓ Lower | ≤1.0 mg/L (safe) ≤1.5 mg/L (max) |
| Nitrate | NO₃⁻ from agricultural runoff & sewage. Excess causes "blue baby syndrome" in infants and long-term health risks. | ↓ Lower | ≤45 mg/L (as NO₃⁻) |
| मापदंड | मान | स्कोर | मानदंड | भार |
|---|---|---|---|---|
| ODF Status | ODF++ | 100 | ODF++ is best | 20% |
| Open Defecation Free certification. ODF means no open defecation. ODF+ adds solid/liquid waste management. ODF++ means all faecal sludge is safely managed and treated. | ||||
| Sewage Treatment Coverage | 88.00% | 88 | 100% ideal | 30% |
| Percentage of households connected to a Sewage Treatment Plant (STP) or decentralized treatment system. Higher coverage means less untreated sewage entering water bodies. | ||||
| Drainage Coverage | 93.00% | 93 | 100% ideal | 25% |
| Storm water and waste water drainage network coverage. Proper drainage prevents waterlogging, mosquito breeding, and disease outbreaks during monsoon. | ||||
| Waste Collection | Daily | 80 | Daily (2x) is best | 15% |
| Door-to-door waste collection frequency. Daily (2x) = twice daily collection. Daily = once daily. Alt. Day = alternate days. More frequent collection reduces open dumping and disease vectors. | ||||
| Sewage Disposal Method | Centralized STP | 100 | Centralized STP best | 10% |
| How sewage is treated. Centralized STP = large treatment plant serving the sector/city. STP Connected = individual ward connected to STP. Septic Tank = on-site treatment. Open Drain = untreated discharge (worst). | ||||
The sanitation score is a weighted average of 5 parameters:
Score = (ODF × 20%) + (Sewage Coverage × 30%) + (Drainage × 25%) + (Waste Collection × 15%) + (Disposal Method × 10%)
ODF = No open defecation · ODF+ = ODF + solid/liquid waste managed · ODF++ = All faecal sludge safely treated (gold standard under SBM)
9 उपग्रह डेटासेट — ESA WorldCover, GHSL बिल्ट सरफ़ेस/हाइट/वॉल्यूम/SMOD, VIIRS नाइटटाइम लाइट्स, Dynamic World, ALOS DEM, और Sentinel-2 सूचकांकों के माध्यम से बुनियादी ढाँचे की गुणवत्ता का आकलन। Google Earth Engine द्वारा 1000m और 3000m बफ़र में विश्लेषित।
| मापदंड | मान |
|---|---|
| Avg Built Surface per Pixel | 0.0 m² |
| Total Built Surface | 0 m² |
| Built Surface Fraction | 100.7% |
| Avg Building Height | 0.52 m |
| Max Building Height | 2.5 m |
| Total Built Volume | 600,534 m³ |
| Mean Built Volume per Pixel | 254.3 m³ |
| Mean Elevation | 313.1 m | Slope (Mean) | 0.10° |
| Min Elevation | 302.0 m | Slope (Max) | 0.10° |
| Max Elevation | 324.5 m | Elevation Range | 22.5 m |
| मापदंड | 1000 मी. | 3000 मी. | औसत |
|---|---|---|---|
| Built-up (LULC) | 2.8% | 6.5% | 4.7% |
| Avg Bldg Height | 0.35 m | 0.68 m | 0.52 m |
| Night Radiance | 15.18 | 10.96 | 13.07 |
| Urbanization | 22.2 | 20.8 | 21.5 |
| Dynamic World Built | 17.3% | 19.4% | 18.3% |
| NDBI | 0.0669 | 0.0643 | 0.0700 |
| Impervious Surface | 12.4% | 18.1% | 15.3% |
| Mean Slope | 0.10° | 0.10° | 0.10° |
| Infra Score | 25.8 | 32.4 | 29.0 |
| मापदंड | मान |
|---|---|
| Avg Built Surface per Pixel | 35.8 m² |
| Total Built Surface | 1,112,584 m² |
| Built Surface Fraction | 35.4% |
| Avg Building Height | 0.35 m |
| Max Building Height | 2.5 m |
| Total Built Volume | 27,820 m³ |
| Mean Built Volume per Pixel | 89.4 m³ |
| Mean Elevation | 314.1 m | Slope (Mean) | 0.10° |
| Min Elevation | 308.0 m | Slope (Max) | 0.10° |
| Max Elevation | 322.0 m | Elevation Range | 14.0 m |
| मापदंड | मान |
|---|---|
| Avg Built Surface per Pixel | 167.6 m² |
| Total Built Surface | 46,927,075 m² |
| Built Surface Fraction | 166.0% |
| Avg Building Height | 0.68 m |
| Max Building Height | 2.5 m |
| Total Built Volume | 1,173,247 m³ |
| Mean Built Volume per Pixel | 419.1 m³ |
| Mean Elevation | 312.0 m | Slope (Mean) | 0.10° |
| Min Elevation | 296.0 m | Slope (Max) | 0.10° |
| Max Elevation | 327.0 m | Elevation Range | 31.0 m |
| मापदंड | जोखिम स्तर | स्कोर | मानदंड | भार |
|---|---|---|---|---|
| River Flood Risk | Low | 10 | 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%)
| मापदंड | मान | विवरण |
|---|---|---|
| Soil Type | Hard laterite / rock | 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) |
Planned NRDA city on elevated plateau. Hard laterite/rock geology with zero liquefaction potential. Best seismic profile in entire Raipur region.
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
भूमि सतह तापमान (LST) उपग्रह के थर्मल सेंसर से ज़मीन का विकिरण तापमान मापता है। अधिक LST शहरी ऊष्मा द्वीप प्रभाव दर्शाता है — अधिक कंक्रीट, कम छाया और अधिक ऊर्जा खपत। Landsat 8/9 थर्मल इंफ्रारेड बैंड से 30m रिज़ॉल्यूशन पर 1000m और 3000m बफ़र रेडियस में विश्लेषित।
| Parameter | 1000m | 3000m | Average (Final) |
|---|---|---|---|
| Mean Temp | 30.16°C | 29.59°C | 29.88°C |
| Min Temp | 0.71°C | 1.17°C | 0.94°C |
| Max Temp | 40.66°C | 40.05°C | 40.36°C |
| LST Score | 59.4 | 61.6 | 60.5 |
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.
ओपन एरिया स्कोर गैर-निर्मित भूमि — खुले स्थान, पार्क और साँस लेने की जगह — का प्रतिशत मापता है। उच्च स्कोर = अधिक खुला क्षेत्र। ESA WorldCover 2021 डेटा 10m रिज़ॉल्यूशन पर हर पिक्सेल को बिल्ट-अप या नॉन-बिल्ट-अप वर्गीकृत करता है।
| Parameter | 1000m | 3000m | Average (Final) |
|---|---|---|---|
| Built-up % | 2.8% | 6.5% | 4.7% |
| Open Space % | 97.2% | 93.5% | 95.3% |
| Score | 97.2 | 93.5 | 95.3 |
VIIRS उपग्रह द्वारा कैप्चर की गई रात्रि प्रकाश विकिरण आर्थिक गतिविधि और बुनियादी ढाँचे की गुणवत्ता का विश्वसनीय संकेतक है। उज्जवल क्षेत्र बेहतर स्ट्रीट लाइटिंग, व्यावसायिक गतिविधि और बिजली आपूर्ति विश्वसनीयता दर्शाते हैं।
| Parameter | 1000m | 3000m | Average (Final) |
|---|---|---|---|
| Avg Radiance | 18.693 | 12.367 | 15.530 |
| Score | 37.4 | 24.7 | 31.1 |
JRC ग्लोबल सरफ़ेस वॉटर डेटासेट से 30m रिज़ॉल्यूशन पर जल निकायों का पता लगाया जाता है। झीलों, तालाबों, नदियों और जलाशयों वाले क्षेत्र अधिक स्कोर करते हैं — जल निकाय शहरी गर्मी कम करते हैं और जीवन गुणवत्ता बढ़ाते हैं।
| Parameter | 1000m | 3000m | Average (Final) |
|---|---|---|---|
| Permanent Water % | 0.00% | 54.40% | 27.20% |
| Seasonal Water % | 65.22% | 96.50% | 80.86% |
| Score | 30.0 | 100.0 | 100.0 |
WorldPop से 100m रिज़ॉल्यूशन पर जनसंख्या घनत्व अनुमान बताते हैं कि कोई मोहल्ला कितना भीड़भाड़ वाला है। कम घनत्व = कम भीड़, बेहतर वायु गुणवत्ता, अधिक हरियाली। डेटा 2020 जनगणना और उपग्रह इमेजरी पर आधारित।
| Parameter | 1000m | 3000m | Average (Final) |
|---|---|---|---|
| Population | 2,198 | 28,031 | 15,115 |
| Density (per km²) | 700 | 991 | 846 |
| Score | 96.5 | 95.0 | 95.8 |
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) |
145.8 mm | 30% | 72.9 /100 | |
| GW Recharge P − ET − Runoff (−200 to +400 mm/yr) |
+0.6 mm/yr | 25% | 33.4 /100 | |
| PDSI (Drought Index) −4 (severe drought) to +4 (very wet) |
2.96 | 20% | 87.0 /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) |
1,833 mm/yr | 10% | 100.0 /100 | |
| Groundwater Score | 100% | 65.1/100 | ||
| Parameter | Value | Weight | Sub-Score | Rating |
|---|---|---|---|---|
| Soil Moisture Average annual soil moisture (0–200 mm) |
145.8 mm | 30% | 72.9 /100 | |
| GW Recharge P − ET − Runoff (−200 to +400 mm/yr) |
+0.9 mm/yr | 25% | 33.5 /100 | |
| PDSI (Drought Index) −4 (severe drought) to +4 (very wet) |
2.95 | 20% | 86.9 /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) |
1,834 mm/yr | 10% | 100.0 /100 | |
| Groundwater Score | 100% | 65.1/100 | ||
| Parameter | Value | Weight | Sub-Score | Rating |
|---|---|---|---|---|
| Soil Moisture Average annual soil moisture (0–200 mm) |
145.8 mm | 30% | 72.9 /100 | |
| GW Recharge P − ET − Runoff (−200 to +400 mm/yr) |
+0.3 mm/yr | 25% | 33.4 /100 | |
| PDSI (Drought Index) −4 (severe drought) to +4 (very wet) |
2.97 | 20% | 87.1 /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) |
1,832 mm/yr | 10% | 100.0 /100 | |
| Groundwater Score | 100% | 65.1/100 | ||
Moderate groundwater conditions. Underground water storage is adequate but may show seasonal variation. Monitor trends and consider water conservation practices.
No waterlogging data available for this area yet.
View Waterlogging MapNo risk factor data available for this area yet.
View Risk Factors MapScored using OpenStreetMap data: sidewalks, crosswalks, footpaths, cycle paths, traffic signals, street lighting and road quality. This is a special experimental parameter not included in the composite score — a differentiator no competing platform offers for Indian cities.
Below average walkability. Limited pedestrian infrastructure. Few designated crosswalks or footpaths. Walking at night requires extra caution. Vehicle-dependent area.
Scored 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 |
|---|---|---|---|---|
| अस्पताल (500 मी.) | 0 | 3 | 0 /100 |
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| अस्पताल (2 कि.मी.) | 3 | 5 | 60 /100 |
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अस्पताल (2 कि.मी.) — 3 places within 2km
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| स्कूल (1 कि.मी.) | 1 | 5 | 20 /100 |
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स्कूल (1 कि.मी.) — 1 places within 1km
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| बाज़ार (1 कि.मी.) | 0 | 3 | 0 /100 |
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| पार्क (500 मी.) | 0 | 3 | 0 /100 |
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| BRTS/बस स्टॉप (1 कि.मी.) | 1 | 2 | 50 /100 |
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BRTS/बस स्टॉप (1 कि.मी.) — 1 places within 1km
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| फार्मेसी (2 कि.मी.) | 0 | 3 | 0 /100 |
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| बैंक (1 कि.मी.) | 0 | 3 | 0 /100 |
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| रेस्तरां (1 कि.मी.) | 1 | 5 | 20 /100 |
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रेस्तरां (1 कि.मी.) — 1 places within 1km
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| धार्मिक स्थल (1 कि.मी.) | 0 | 3 | 0 /100 |
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| परिवहन सेवाएँ (1 कि.मी.) | 2 | 4 | 50 /100 |
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परिवहन सेवाएँ (1 कि.मी.) — 2 places within 1km
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| Total (sum of 11 categories) | 200/1100 | |||
| Amenity Score (Total ÷ 11) | 18.18 /100 |
|
||
Comparable to a busy restaurant or heavy traffic — may cause some annoyance.
Loud at night — WHO recommends below 40 dB for restful sleep.
The Central Pollution Control Board (CPCB) sets noise limits for different zone types. Here's how this area performs against the standards:
Distance to key noise sources from this location. Closer sources contribute more to noise levels.
| Source | Count (2 km) | Nearest (m) | Impact |
|---|---|---|---|
| Major Highways
Motorways, trunk & primary roads (high traffic volume) |
12 | 1,160 | Moderate |
| Industrial Zones
Factories, manufacturing & industrial land use areas |
0 | N/A | Low |
| Railway Lines
Rail & light rail tracks (intermittent but high peak noise) |
0 | N/A | Low |
| Airport
Swami Vivekananda Airport (flight path noise) |
— | 5.0 km | High |
The Quiet Score (0–100) measures how quiet and peaceful this area is. A higher score means a quieter, more livable area. The score uses 5 parameters:
| Factor | Weight | Value | Contribution | Meaning |
|---|---|---|---|---|
| Highway Proximity | 40% | 1,160m | 23.2 | Farther from highways = less traffic noise = higher score |
| Industrial Proximity | 25% | N/A | 25.0 | Farther from factories = less industrial hum = higher score |
| Railway Proximity | 15% | N/A | 15.0 | Farther from tracks = less train noise = higher score |
| Highway Density | 10% | 12 roads | 0.0 | Fewer major roads nearby = less cumulative traffic noise |
| Industrial Density | 10% | 0 zones | 10.0 | Fewer industrial zones = quieter residential environment |
| Total Quiet Score | 100% | — | 73.2 | Higher score = quieter and more livable |
Raipur context: Raipur is a growing metropolitan area with expanding road networks and an industrial belt along the Siltara-Urla corridor. Nava Raipur (Atal Nagar) generally has wider roads with better setbacks, resulting in lower noise exposure. The WHO recommends daytime noise below 55 dB and nighttime below 40 dB for healthy living.
NDVI (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.
Good proportion of green land — gardens, parks, and tree-lined streets contribute significantly.
% of area with any meaningful greenerySignificant dense green patches — healthy parks, forests, or tree plantations within the area.
% of area with thick tree cover / parksEach parameter is scored 0–100 and combined using weighted averages:
| Parameter | Value | Weight | Sub-Score | Rating |
|---|---|---|---|---|
|
NDVI Mean
Average greenness index. Scale: 0 (no plants) → 0.5+ (lush forest). |
0.345 | 40% | 69 /100 |
|
|
Vegetation Coverage
% of land with meaningful greenery (grass, shrubs, trees). |
44.7% | 30% | 44.7 /100 |
|
|
Dense Green Cover
% of land with thick, healthy tree cover (parks, gardens, forests). |
31.8% | 20% | 63.6 /100 |
|
|
Parks within 500m
Number of public parks/gardens within walking distance. |
0 | 10% | 0 /100 |
|
| Averaged (1000m + 3000m) Green Score | 53.8 /100 |
|
||
Moderate greenery — mix of gardens, roadside trees, and scattered vegetation. Typical of well-planned residential areas.
Good proportion of green land — gardens, parks, and tree-lined streets contribute significantly.
% of area with any meaningful greenerySignificant dense green patches — healthy parks, forests, or tree plantations within the area.
% of area with thick tree cover / parksEach parameter is scored 0–100 and combined using weighted averages:
| Parameter | Value | Weight | Sub-Score | Rating |
|---|---|---|---|---|
|
NDVI Mean
Average greenness index. Scale: 0 (no plants) → 0.5+ (lush forest). |
0.315 | 40% | 63 /100 |
|
|
Vegetation Coverage
% of land with meaningful greenery (grass, shrubs, trees). |
48.9% | 30% | 48.9 /100 |
|
|
Dense Green Cover
% of land with thick, healthy tree cover (parks, gardens, forests). |
32.3% | 20% | 64.5 /100 |
|
|
Parks within 500m
Number of public parks/gardens within walking distance. |
0 | 10% | 0 /100 |
|
| 1000m Buffer Green Score | 52.8 /100 |
|
||
Moderate greenery — mix of gardens, roadside trees, and scattered vegetation. Typical of well-planned residential areas.
Good proportion of green land — gardens, parks, and tree-lined streets contribute significantly.
% of area with any meaningful greenerySignificant dense green patches — healthy parks, forests, or tree plantations within the area.
% of area with thick tree cover / parksEach parameter is scored 0–100 and combined using weighted averages:
| Parameter | Value | Weight | Sub-Score | Rating |
|---|---|---|---|---|
|
NDVI Mean
Average greenness index. Scale: 0 (no plants) → 0.5+ (lush forest). |
0.374 | 40% | 74.8 /100 |
|
|
Vegetation Coverage
% of land with meaningful greenery (grass, shrubs, trees). |
40.6% | 30% | 40.6 /100 |
|
|
Dense Green Cover
% of land with thick, healthy tree cover (parks, gardens, forests). |
31.4% | 20% | 62.7 /100 |
|
|
Parks within 500m
Number of public parks/gardens within walking distance. |
0 | 10% | 0 /100 |
|
| 3000m Buffer Green Score | 54.6 /100 |
|
||
| Parameter | 1000m | 3000m | Average (Final) |
|---|---|---|---|
| NDVI Mean | 0.315 | 0.374 | 0.345 |
| Vegetation % | 48.9% | 40.6% | 44.7% |
| Dense Green % | 32.3% | 31.4% | 31.8% |
| Barren % | 23.0% | 33.9% | 28.4% |
| Tree Canopy % | 37.6% | 17.2% | 27.4% |
| Green Score | 52.8 | 54.6 | 53.8 |
Moderate Green Cover
This area has reasonable vegetation — some parks and tree-lined streets, but also significant built-up zones. The urban heat island effect is partially mitigated. Property values here may benefit from nearby green spaces.
Tip: Check if the green spaces are accessible — a park within walking distance matters more than distant vegetation.
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
The Amenity Score for Sector 22 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 |
|---|---|---|---|---|
| अस्पताल (500 मी.) | 500m | 3 | 33 | min(100, count × 33) |
| अस्पताल (2 कि.मी.) | 2km | 5 | 20 | min(100, count × 20) |
| स्कूल (1 कि.मी.) | 1km | 5 | 20 | min(100, count × 20) |
| बाज़ार (1 कि.मी.) | 1km | 3 | 33 | min(100, count × 33) |
| पार्क (500 मी.) | 500m | 3 | 33 | min(100, count × 33) |
| BRTS/बस स्टॉप (1 कि.मी.) | 1km | 2 | 50 | min(100, count × 50) |
| फार्मेसी (2 कि.मी.) | 2km | 3 | 33 | min(100, count × 33) |
| बैंक (1 कि.मी.) | 1km | 3 | 33 | min(100, count × 33) |
| रेस्तरां (1 कि.मी.) | 1km | 5 | 20 | min(100, count × 20) |
| धार्मिक स्थल (1 कि.मी.) | 1km | 3 | 33 | min(100, count × 33) |
| परिवहन सेवाएँ (1 कि.मी.) | 1km | 4 | 25 | min(100, count × 25) |
| Category | Found | Raw (count × pts) | Capped at 100 |
|---|---|---|---|
| अस्पताल (500 मी.) | 0 | 0 × 33 = 0 | 0 |
| अस्पताल (2 कि.मी.) | 3 | 3 × 20 = 60 | 60 |
| स्कूल (1 कि.मी.) | 1 | 1 × 20 = 20 | 20 |
| बाज़ार (1 कि.मी.) | 0 | 0 × 33 = 0 | 0 |
| पार्क (500 मी.) | 0 | 0 × 33 = 0 | 0 |
| BRTS/बस स्टॉप (1 कि.मी.) | 1 | 1 × 50 = 50 | 50 |
| फार्मेसी (2 कि.मी.) | 0 | 0 × 33 = 0 | 0 |
| बैंक (1 कि.मी.) | 0 | 0 × 33 = 0 | 0 |
| रेस्तरां (1 कि.मी.) | 1 | 1 × 20 = 20 | 20 |
| धार्मिक स्थल (1 कि.मी.) | 0 | 0 × 33 = 0 | 0 |
| परिवहन सेवाएँ (1 कि.मी.) | 2 | 2 × 25 = 50 | 50 |
| Sum of all categories | 200 | 200 | |
| Final Score = 200 ÷ 11 | 18.18/100 | ||
The Water Quality Score is a composite measure (0–100) derived from key drinking water parameters based on WHO/BIS standards and ground-truth data from the CWC Hot Spots Report 2022 (Central Water Commission).
Water Score = (TDS Score + pH Score + Supply Score + Fluoride Score) ÷ 4
| Parameter | Condition | Score |
|---|---|---|
| TDS (mg/L) | ≤ 300 ppm | 100 |
| 301 – 600 ppm | 75 | |
| 601 – 900 ppm | 50 | |
| > 900 ppm | 25 | |
| pH Level | 6.5 – 8.5 | 100 |
| 6.0 – 6.5 or 8.5 – 9.0 | 70 | |
| < 6.0 or > 9.0 | 30 | |
| Water Supply | 24 hrs/day | 100 |
| Less than 24 hrs | (hours ÷ 24) × 100 | |
| Fluoride | ≤ 1.0 mg/L | 100 |
| 1.1 – 1.5 mg/L | 60 | |
| > 1.5 mg/L | 20 |
| Parameter | Value | Score |
|---|---|---|
| TDS | 265.94 ppm | 100 |
| pH स्तर | 7.44 | 100 |
| जल आपूर्ति | 12 घंटे/दिन | 50 |
| फ्लोराइड | 0.42 mg/L | 100 |
Water Score = (100 + 100 + 50 + 100) ÷ 4 = 87.5/100
| Station | River | Parameter | Pre-Monsoon | Monsoon | Post-Monsoon | Status |
|---|---|---|---|---|---|---|
| Patharidih | Kharun | Nitrate (NO₃⁻-N) | 20.71 mg/L | 14.59 mg/L | 16.40 mg/L | 🔴 Hotspot all 3 seasons |
| Simga | Seonath | Nitrate (NO₃⁻-N) | 12.96 mg/L | — | 11.95 mg/L | 🟠 Hotspot pre & post monsoon |
Patharidih on the Kharun river (flows through Raipur city) is the most critical hotspot — it exceeded the BIS nitrate limit (45 mg/L as NO₃⁻ = 10.16 mg/L as N) in all three seasons of 2022. The Kharun is a direct tributary of the Seonath, which feeds into the Mahanadi, forming Raipur's primary water source basin.
Simga on the Seonath river (boundary of Raipur & Durg districts) also showed persistent nitrate exceedance in pre- and post-monsoon seasons.
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 | 20.15 | µg/m³ | Good |
| PM10 | 33.8 | µg/m³ | Good |
| NO₂ | 24.16 | µg/m³ | Good |
| SO₂ | 6.52 | µg/m³ | Good |
| CO | 0.38 | mg/m³ | Good |
| O₃ | 9.8 | µg/m³ | Good |
| NH₃ | 8.73 | µg/m³ | Good |
Overall AQI = max of all sub-indices = 42 Good
| AQI Range | Air Quality Score (for Livability) | Method |
|---|---|---|
| 0 – 500 | max(0, 100 − AQI) | Inverted: lower AQI = higher livability |
For Sector 22: Air Score = max(0, 100 − 42) = 58/100
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 | 0.345 | 69/100 | 40% | 27.6 |
| Vegetation Coverage | 44.7% | 44.7/100 | 30% | 13.41 |
| Dense Green Cover | 31.8% | 63.6/100 | 20% | 12.72 |
| Parks within 500m | 0 | 0/100 | 10% | 0 |
| Green Cover Score | 53.8/100 | |||
ee.Image.normalizedDifference(['B5', 'B4']) — per GEE TutorialThe Quiet Score measures how quiet and peaceful an area is, on a scale of 0 to 100. A higher score means a quieter, more livable area — better for living, sleeping, and overall well-being. It is calculated using real geographic data from OpenStreetMap to determine proximity to noise sources like highways, industries, and railways.
| Parameter | Weight | How It's Scored |
|---|---|---|
| Highway Proximity | 40% | Distance to nearest motorway/trunk/primary road. 0m = 0 points, ≥2000m = 100 points. Linear interpolation. |
| Industrial Proximity | 25% | Distance to nearest industrial zone. 0m = 0 points, ≥2000m = 100 points. Linear interpolation. |
| Railway Proximity | 15% | Distance to nearest rail/light rail track. 0m = 0 points, ≥2000m = 100 points. |
| Highway Density | 10% | Count of major roads within 2km. 0 roads = 100 points, ≥10 roads = 0 points. |
| Industrial Density | 10% | Count of industrial zones within 2km. 0 zones = 100 points, ≥5 zones = 0 points. |
Daytime and nighttime noise levels (dB) are estimated using the FHWA Traffic Noise Model (simplified). The model calculates noise attenuation based on distance:
| Source | Reference Level | At 100m | At 500m | At 1000m |
|---|---|---|---|---|
| Major Highway | 78 dB @ 10m | 58 dB | 44 dB | 38 dB |
| Industrial Zone | 70 dB @ 50m | 64 dB | 50 dB | 44 dB |
| Railway (Leq) | 60 dB @ 25m | 48 dB | 34 dB | 28 dB |
| Airport | 75 dB @ 1km | — | 81 dB | 75 dB |
Nighttime noise is estimated to be 5–10 dB lower than daytime (reduced traffic, no industrial operations). Multiple sources are combined using logarithmic addition.
The Central Pollution Control Board classifies areas into 4 noise zones with specific limits:
| Zone | Day Limit | Night Limit | Typical Areas |
|---|---|---|---|
| Industrial | 75 dB | 70 dB | Factory areas, manufacturing hubs (Siltara, Urla) |
| Commercial | 65 dB | 55 dB | Markets, commercial zones (Pandri, Malviya Road) |
| Residential | 55 dB | 45 dB | Housing colonies, wards (Shankar Nagar, Tatibandh) |
| Silence | 50 dB | 40 dB | Near hospitals, schools, courts (within 100m) |
| Score Range | Rating | What It Means |
|---|---|---|
| 80–100 | Excellent | Very quiet, far from all noise sources — ideal for families and health-conscious residents |
| 60–79 | Good | Generally peaceful with minimal noise intrusion — suitable for comfortable living |
| 40–59 | Moderate | Some noise from traffic or industrial areas — consider soundproofing improvements |
| 20–39 | Below Average | Noticeable noise pollution — may affect sleep quality and daily comfort |
| 0–19 | Poor | High noise exposure — health risks from prolonged exposure (stress, hearing, cardiovascular) |
The Sanitation Score measures the quality and coverage of sanitation infrastructure in an area, on a scale of 0 to 100. A higher score means better sewage treatment, drainage, waste collection, and open-defecation-free (ODF) compliance — all critical for public health and livability.
| Parameter | Weight | How It's Scored |
|---|---|---|
| ODF Status | 20% | ODF++ = 100, ODF+ = 70, ODF = 40. Based on SBM Urban certification level. ODF++ means no open defecation plus solid & liquid waste management. |
| Sewage Treatment Coverage | 30% | Direct percentage value (0–100%). Measures the proportion of area connected to sewage treatment plants (STPs). Higher coverage means less untreated sewage discharge. |
| Drainage Coverage | 25% | Direct percentage value (0–100%). Measures the extent of paved/covered storm-water drains. Better drainage prevents waterlogging and disease vectors. |
| Waste Collection | 15% | Daily (2x) = 100, Daily = 80, Alternate Day = 50. Reflects frequency and reliability of door-to-door waste collection by the municipal body. |
| Sewage Disposal Method | 10% | Centralized STP = 100, STP Connected = 80, Septic Tank = 50, Open Drain = 10. Measures how responsibly sewage effluent is handled before discharge. |
The Swachh Bharat Mission Urban uses a three-tier ODF certification framework:
| Level | Criteria | Score |
|---|---|---|
| ODF++ | No open defecation + all sewage/septage safely treated + proper fecal sludge management | 100 |
| ODF+ | No open defecation + no untreated sewage/septage discharged into water bodies/open drains | 70 |
| ODF | No open defecation — all households have access to toilets and use them | 40 |
| Score Range | Rating | What It Means |
|---|---|---|
| 80–100 | Excellent | Comprehensive sanitation coverage — ODF++ certified, high sewage treatment, reliable waste collection |
| 60–79 | Good | Good infrastructure with room for improvement — most areas connected to STPs, daily waste collection |
| 40–59 | Moderate | Basic sanitation in place but gaps in coverage — some open drains, partial sewage treatment |
| 20–39 | Below Average | Significant gaps in sanitation — poor drainage, infrequent waste collection, septic-tank-dependent |
| 0–19 | Poor | Severe sanitation deficits — open defecation areas, untreated sewage discharge, disease risk |
The 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 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 Walkability Score measures how pedestrian-friendly an area is based on the presence and quality of walking infrastructure, road safety features, street lighting, and road surface quality. Scored on a 0–100 scale (higher = more walkable).
Each sub-score is individually normalised to 0–100 using capped counts, then the weighted sum produces the final score. This is a special experimental parameter not included in the composite livability score.
| Sub-Score | Weight | Components | Normalisation |
|---|---|---|---|
| Pedestrian Infrastructure | 30% |
|
min(count / cap × 100, 100) |
| Road Safety | 25% |
|
min(count / cap × 100, 100) |
| Street Lighting | 20% |
|
max(lamp_score, lit_road_score × 0.7) |
| Road Quality | 25% |
|
paved / (paved + unpaved) × 100 |
| Score Range | Rating | Meaning |
|---|---|---|
| 80 – 100 | Excellent | Highly walkable with complete pedestrian infrastructure |
| 60 – 79 | Good | Good walking conditions with minor gaps |
| 40 – 59 | Moderate | Basic walkability — some infrastructure missing |
| 0 – 39 | Poor | Limited walkability — significant infrastructure gaps |
OpenStreetMap (Overpass API)
All walkability infrastructure data is sourced from OpenStreetMap via the Overpass API. Features like sidewalks, pedestrian zones, crosswalks, traffic signals, street lamps, and road surface tags are queried within each area's geographic boundary.
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.