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State Analytics Desk
Maharashtra State Analytics & District Dashboard
Real-time statistics, district-wise drill down, interactive vector map visualization, and organizational breakdown across Maharashtra.
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Filter metrics by specific district in Maharashtra
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Location wise Data
| Location | P | O | C |
|---|---|---|---|
| Ahmadnagar | 48 | 28 | 20 |
| Akola | 60 | 35 | 25 |
| Amravati | 95 | 60 | 35 |
| Aurangabad (Sambhajinagar) | 140 | 90 | 50 |
| Bhandara | 25 | 12 | 13 |
| Bid | 28 | 14 | 14 |
| Buldana | 30 | 15 | 15 |
| Chandrapur | 45 | 25 | 20 |
| Dhule | 50 | 30 | 20 |
| Gadchiroli | 20 | 9 | 11 |
| Gondiya | 22 | 10 | 12 |
| Hingoli | 18 | 8 | 10 |
| Jalgaon | 65 | 40 | 25 |
| Jalna | 16 | 7 | 9 |
| Kolhapur | 90 | 55 | 35 |
| Latur | 55 | 35 | 20 |
| Mumbai | 420 | 280 | 140 |
| Mumbai Suburban | 380 | 240 | 140 |
| Nagpur | 180 | 110 | 70 |
| Nanded | 75 | 45 | 30 |
| Nandurbar | 15 | 6 | 9 |
| Nashik | 160 | 100 | 60 |
| Osmanabad (Dharashiv) | 12 | 5 | 7 |
| Palghar | 14 | 5 | 9 |
| Parbhani | 40 | 22 | 18 |
| Pune | 340 | 220 | 120 |
| Raigarh | 38 | 20 | 18 |
| Ratnagiri | 35 | 18 | 17 |
| Sangli | 85 | 50 | 35 |
| Satara | 70 | 40 | 30 |
| Sindhudurg | 10 | 4 | 6 |
| Solapur | 110 | 70 | 40 |
| Thane | 210 | 140 | 70 |
| Wardha | 10 | 4 | 6 |
| Washim | 8 | 3 | 5 |
| Yavatmal | 32 | 16 | 16 |
Maharashtra State Map
Selected District Hovered Region 36 Districts
Organization wise Data
| Organization Name | P | O | C |
|---|---|---|---|
Ahmadnagar Ahmadnagar | 48 | 28 | 20 |
Akola Akola | 60 | 35 | 25 |
Amravati Amravati | 95 | 60 | 35 |
Aurangabad (Sambhajinagar) Chhatrapati Sambhajinagar | 140 | 90 | 50 |
Bhandara Bhandara | 25 | 12 | 13 |
Bid Beed | 28 | 14 | 14 |
Buldana Buldhana | 30 | 15 | 15 |
Chandrapur Chandrapur | 45 | 25 | 20 |
Dhule Dhule | 50 | 30 | 20 |
Gadchiroli Gadchiroli | 20 | 9 | 11 |
Gondiya Gondia | 22 | 10 | 12 |
Hingoli Hingoli | 18 | 8 | 10 |
Jalgaon Jalgaon | 65 | 40 | 25 |
Jalna Jalna | 16 | 7 | 9 |
Kolhapur Kolhapur | 90 | 55 | 35 |
Latur Latur | 55 | 35 | 20 |
Mumbai Mumbai City | 420 | 280 | 140 |
Mumbai Suburban Mumbai Suburban | 380 | 240 | 140 |
Nagpur Nagpur | 180 | 110 | 70 |
Nanded Nanded | 75 | 45 | 30 |
Nandurbar Nandurbar | 15 | 6 | 9 |
Nashik Nashik | 160 | 100 | 60 |
Osmanabad (Dharashiv) Dharashiv | 12 | 5 | 7 |
Palghar Palghar | 14 | 5 | 9 |
Parbhani Parbhani | 40 | 22 | 18 |
Pune Pune | 340 | 220 | 120 |
Raigarh Raigad | 38 | 20 | 18 |
Ratnagiri Ratnagiri | 35 | 18 | 17 |
Sangli Sangli | 85 | 50 | 35 |
Satara Satara | 70 | 40 | 30 |
Sindhudurg Sindhudurg | 10 | 4 | 6 |
Solapur Solapur | 110 | 70 | 40 |
Thane Thane | 210 | 140 | 70 |
Wardha Wardha | 10 | 4 | 6 |
Washim Washim | 8 | 3 | 5 |
Yavatmal Yavatmal | 32 | 16 | 16 |