Pincode-Level Affluence Intelligence
Where India's spending power actually lives.
LocationQ resolves affluence to the pincode — blending proprietary transaction signals (value, ticket size, credit appetite, digital trust) with verified public data on banking, demographics, air quality and commercial density. Every card carries its source and vintage.
Proprietary Intelligence
Economic Activity
Real transaction behaviour across five months (M1–M5): where money moves, how big the tickets are, and which pincodes punch above their weight.
Total Transaction Value
₹16,548 Cr
▲ 18.4% vs M1 baseline
Active Merchant Outlets
19,063
▲ 12.2% outlet growth
Avg Transaction Value
₹3,024
▲ 8.7% vs M1
UPI Share of Transactions
64.2%
▲ 9.3 pts vs M1
Transaction Volume Leaders
Top 15 pincodes by total transaction count · M1–M5
Transaction Value Leaders
Top 15 pincodes by gross value · ₹ crore
ATV Leaders by Percentile
Top 15 pincodes by average transaction value — percentile rank against all tracked pincodes
| Rank | Pincode | ATV (₹) | Percentile | Signal |
|---|
Percentile = share of pincodes with a lower ATVSource: proprietary transaction stream · M1–M5
UPI Adoption Leaders
Top 15 pincodes by UPI share of transactions
E-commerce AOV Leaders
Top 15 pincodes by average order value · ₹
Premium Order Share
Top 15 pincodes by share of orders above ₹2,000
Digital Trust Index
15 pincodes with the lowest cash-on-delivery dependency
Discretionary Spend Leaders
Top 15 pincodes by discretionary share of spend
Discount Resilience
Top 15 pincodes buying at full price — low discount dependence
Weekend Leisure Index
Top 15 pincodes by weekend footfall ratio
Growth Trajectory
Top 15 pincodes by absolute value growth · ₹ crore, M1→M5
Seasonal Stability
15 most stable pincodes — lowest month-to-month coefficient of variation
Store Penetration
Top 15 pincodes by active store count
Credit Appetite — EMI Share
Top 15 pincodes by EMI transaction share
NBFC Branch Density
Top 20 pincodes by NBFC branch concentration
Equity Investor Density (CDSL)
Top 20 pincodes by equity investor concentration · % of all CDSL investors
E-commerce User Density (Pickrr)
Top 20 pincodes by e-commerce user concentration · % of all Pickrr users
Public Data · RBI
Banking & Credit
How deeply districts lend against their deposits — the credit depth that underpins local affluence, from RBI district-wise banking statistics.
CD Ratio by District
Bank credit outstanding as % of deposits · leading districts
How to Read the CD Ratio
Credit outstanding ÷ deposits, measured at district level
> 100%District lends more than it deposits — a net importer of capital.
75–100%Lending-led economy with deep formal credit channels.
< 75%Deposit-rich but credit-shallow — headroom for lending growth.
Metro CD ratios also reflect head-office credit booking, not only local lending. Read alongside branch counts.
Credit-Deposit Ratio — Leading Districts
Bank credit outstanding as a share of deposits · above 75% signals a lending-led economy
| Rank | District | State | CD Ratio | Bank Branches | Depth |
|---|---|---|---|---|---|
| 01 | Mumbai | Maharashtra | 109.7% | 3,412 | DEEP |
| 02 | Chennai | Tamil Nadu | 103.1% | 2,208 | DEEP |
| 03 | Bengaluru Urban | Karnataka | 99.4% | 2,764 | DEEP |
| 04 | Pune | Maharashtra | 96.1% | 1,986 | DEEP |
| 05 | Hyderabad | Telangana | 88.3% | 1,742 | STRONG |
| 06 | Chandigarh | Chandigarh | 81.2% | 402 | STRONG |
| 07 | Gurugram | Haryana | 78.6% | 688 | STRONG |
| 08 | Ernakulam | Kerala | 72.4% | 1,118 | MODERATE |
CD ratio > 100% means the district lends more than it depositsSource: RBI district-wise banking statistics
Public Data · Census & NFHS-5
Demographics
Human-capital foundations of affluence: literacy distribution across districts and household asset ownership across states.
Literacy Rate Distribution
Number of districts by literacy bracket
Household Car Ownership
Share of households owning a car · top 10 states
Public Data · CPCB
Environment
Liveability adjusts affluence. Real-time air quality from the CPCB monitoring network, normalised to PM2.5 concentration.
Monitoring Stations
3,514
Active across the network
Cities Covered
350+
Pan-India coverage
Cleanest City · PM2.5
12 µg
Imphal
Most Polluted · PM2.5
168 µg
Delhi (city avg)
PM2.5 by Monitoring Station
Latest reading · µg/m³ · colour-coded by CPCB band
Live AQI — Major Cities
Representative stations · all pollutants in µg/m³
| City | Station | PM2.5 | PM10 | NO₂ | Status |
|---|---|---|---|---|---|
| Mumbai | Worli, IITM | 18 | 45 | 28 | GOOD |
| Mumbai | BKC, MPCB | 13 | 38 | 24 | GOOD |
| Delhi | Bawana | 62 | 96 | 55 | POOR |
| Delhi | Rohini | 87 | 145 | 62 | SEVERE |
| Bengaluru | City Railway | 22 | 42 | 32 | GOOD |
| Chennai | Manali | 35 | 58 | 22 | MODERATE |
| Hyderabad | Bollaram | 38 | 62 | 24 | MODERATE |
| Kolkata | Rabindra Bharati | 52 | 88 | 42 | POOR |
| Pune | Shivajinagar | 28 | 48 | 22 | GOOD |
Source: CPCB / data.gov.in real-time APIIllustrative snapshot
Public Data · OSM & MoSPI
POI Density
Physical commercial fabric — banks, ATMs, malls and restaurants mapped from OpenStreetMap, cross-checked against the Economic Census establishment counts.
Bank Branches Mapped
157,842
OSM cross-checked with RBI
ATMs Mapped
42,600+
Pan-India · OSM
Shopping Malls
1,840
Tier-1 + Tier-2 cities
Restaurants Mapped
89,400+
Major cities · OSM
POI Density by City
Banks + ATMs + malls per 100K population
Commercial Establishments
Economic Census establishments · top 10 cities
Composite Index
Affluence Score
A weighted composite of banking depth, demographics, environment and commercial activity, scored 0–100 for 640 districts.
Ultra-High · >85
42
districts
High · 70–85
127
districts
Emerging · 50–70
289
districts
Low · <50
182
districts
Top Districts by Composite Score
Score blends CD ratio, literacy, asset ownership and air quality
| Rank | District | State | CD Ratio | Literacy | Score |
|---|---|---|---|---|---|
| 01 | Mumbai | Maharashtra | 109.7% | 89.2% | 94 |
| 02 | Chennai | Tamil Nadu | 103.1% | 90.2% | 92 |
| 03 | Bengaluru Urban | Karnataka | 99.4% | 87.7% | 91 |
| 04 | Chandigarh | Chandigarh | 81.2% | 86.4% | 90 |
| 05 | Pune | Maharashtra | 96.1% | 86.2% | 89 |
Composite of RBI + Census + NFHS + CPCB inputsTop 5 of 640 shown
Score Distribution — 640 Districts
Districts by affluence band
Trajectory Analysis
Emerging Markets
Tomorrow's affluent districts: where SDG outcomes, credit growth and commercial POI are compounding fastest.
Rising SDG Score
156
districts improving >5 pts
Young Population
34%
median share aged 18–35
New Bank Branches
2,847
this FY · emerging districts
POI Growth Rate
+18%
YoY · Tier-2/3 cities
Emerging vs Established
Share of 640 districts by affluence trajectory · %
Growth Correlation
CD-ratio growth vs SDG improvement · sampled districts