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Housing Societie Leads Database of Madhya Pradesh, India Updated June 2026

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Housing Societie Leads Database of Madhya Pradesh, India Updated June 2026 4.7 ★★★★★ ★★★★★ Verified buyers
Updated: Jul 08, 2026

🌐 Housing Societie Leads Database of Madhya Pradesh, India Updated June 2026

Unlock actionable insights and supercharge your sales pipeline. Download this verified, analysis-ready dataset today.

Rows (Regular)550
Rows (Extended)1,222
Sales0
Views3
CountryIndia
📦 Bulk Data Provider
On Sale

Coverage across Madhya Pradesh

This dataset covers 1,222 verified records spread across 52+ districts in Madhya Pradesh. 1,222 records carry a verified phone number and 428 include a business website — directly usable for outreach, segmentation, and CRM import.

The highest-density districts are Bhind (269 listings), Narsinghpur (135 listings), Ratlam (90 listings), Tikamgarh (67 listings), Chhatarpur (54 listings), Panna (45 listings), Katni (38 listings), and Alirajpur (34 listings).

Additional coverage spans Neemuch (30), Burhanpur (27), Vidisha (24), Betul (22), Hoshangabad (Narmadapuram) (21), Satna (19), Hoshangabad (18), Sehore (17), Raisen (16), Khargone (15), Barwani (14), Sagar (13) , plus 32 more districts.

Coverage in Madhya Pradesh — by district

Total rows:1,222 With mobile:1,222 With website:428
Districts Total With mobile With website
Bhind 269 269 94
Narsinghpur 135 135 47
Ratlam 90 90 32
Tikamgarh 67 67 23
Chhatarpur 54 54 19
Panna 45 45 16
Katni 38 38 13
Alirajpur 34 34 12
Neemuch 30 30 11
Burhanpur 27 27 9
All districts (52) 1,222 1,222 428

Coverage in Madhya Pradesh — all 52 districts

Districts Total With mobile With website
Bhind 269 269 94
Narsinghpur 135 135 47
Ratlam 90 90 32
Tikamgarh 67 67 23
Chhatarpur 54 54 19
Panna 45 45 16
Katni 38 38 13
Alirajpur 34 34 12
Neemuch 30 30 11
Burhanpur 27 27 9
Vidisha 24 24 8
Betul 22 22 8
Hoshangabad (Narmadapuram) 21 21 7
Satna 19 19 7
Hoshangabad 18 18 6
Sehore 17 17 6
Raisen 16 16 6
Khargone 15 15 5
Barwani 14 14 5
Sagar 13 13 5
Jabalpur 13 13 5
Dhar 12 12 4
Umaria 12 12 4
Guna 11 11 4
Ashoknagar 11 11 4
Dewas 10 10 4
Khandwa 10 10 4
Mandla 10 10 4
Ujjain 9 9 3
Anuppur 9 9 3
Rewa 9 9 3
Singrauli 8 8 3
Chhindwara 8 8 3
Shajapur 8 8 3
Jhabua 8 8 3
Harda 7 7 2
Rajgarh 7 7 2
Balaghat 7 7 2
Sidhi 7 7 2
Sheopur 7 7 2
Shivpuri 7 7 2
Shahdol 7 7 2
Indore 6 6 2
Seoni 6 6 2
Datia 6 6 2
Dindori 6 6 2
Gwalior 6 6 2
Damoh 6 6 2
Morena 6 6 2
Bhopal 5 5 2
Agar Malwa 5 5 2
Mandsaur 5 5 2
All districts (52) 1,222 1,222 428

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Housing Societies Database — India

The Housing Societies database for Madhya Pradesh, India includes 1,222+ verified businesses with company name, address, city, state, phone, email, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.

How to use this data

  • Demand-gen experiments — A/B different positionings against the same housing societies pool in Madhya Pradesh, India.
  • Trend reports — slice housing societies review-keywords by city to surface emerging consumer pain points in Madhya Pradesh, India.
  • Cross-sell modelling — surface housing societies buyers in Madhya Pradesh, India likely to need adjacent products.

Frequently asked about this dataset

How many businesses are in the Housing Societies database for Madhya Pradesh, India?

The Housing Societies database for Madhya Pradesh, India contains 1,222+ verified businesses as of 2026, each with phone, email, address, website and GPS coordinates. The full record count is shown on this page above.

Where can I download a Housing Societies database for Madhya Pradesh, India?

The complete Housing Societies database for Madhya Pradesh, India is available on this page from Data2Sales AI as an instant CSV download. Every record carries verified contact details and is delivered immediately after checkout.

What fields are included in the Housing Societies dataset?

Each record includes: Business name, Street address, City, State / Region, Postal code, Country, Phone number, Email address and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.

How accurate is the Housing Societies data for Madhya Pradesh, India?

Every record is cross-referenced across public business registries, Google Maps and licensed directory partners before it ships. Closed businesses, disconnected phones and duplicates are stripped on every monthly refresh, so the dataset reflects the live housing societies footprint in Madhya Pradesh, India.

Is the Housing Societies dataset updated regularly?

Yes. The Housing Societies dataset is rebuilt on a rolling 30-day cycle. New entrants come in through registrar filings; closures are detected from negative signals and dropped before export.

Can I use the Housing Societies data for marketing and outreach?

Yes — the dataset is licensed for commercial use after purchase. Common use cases include cold outbound, geo-targeted advertising, market research, supplier sourcing and territory planning. Only publicly listed business contact information is included.

What format do I receive the Housing Societies database in?

You receive a UTF-8 encoded CSV. It opens in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request.

How quickly can I download the dataset after purchase?

Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time. You also get 7 days of unlimited re-downloads from a secure link sent to your email.

About the Housing Societies Database in Madhya Pradesh, India

Looking to reach world wide data decision-makers in Madhya Pradesh, India? This database aggregates 1,222+ verified records through the Data2Sales AI engine, pulling from verified public registries, official websites, social profiles, and licensed data partners. Dead numbers, closed storefronts, and duplicates are stripped before export — you receive a clean, CRM-ready CSV.

License Option
Licenses terms
Accuracy 95–98% Instant download Refreshed monthly CSV / Excel

Last Update:

Jul 08, 2026 13:38 PM

Published:

May 11, 2026 02:25 AM

Rows (Regular):

550

Rows (Extended):

1,222

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