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Verified PG Accommodations Database in Madhya Pradesh, India — 2,756+ Records (Updated July 2026)

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Verified PG Accommodations Database in Madhya Pradesh, India — 2,756+ Records (Updated July 2026) 4.4 ★★★★★ ★★★★★ Verified buyers
Updated: Jul 08, 2026

🌐 Verified PG Accommodations Database in Madhya Pradesh, India — 2,756+ Records (Updated July 2026)

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

Rows (Regular)1,240
Rows (Extended)2,755
Sales0
Views6
CountryIndia
📦 Bulk Data Provider
On Sale

Coverage across Madhya Pradesh

This dataset covers 2,755 verified records spread across 52+ districts in Madhya Pradesh. 2,755 records carry a verified phone number and 964 include a business website — directly usable for outreach, segmentation, and CRM import.

The highest-density districts are Shahdol (607 listings), Mandla (304 listings), Bhind (202 listings), Katni (152 listings), Singrauli (121 listings), Gwalior (101 listings), Agar Malwa (87 listings), and Umaria (76 listings).

Additional coverage spans Panna (67), Rewa (61), Dindori (55), Balaghat (51), Shajapur (47), Sheopur (43), Sehore (40), Raisen (38), Narsinghpur (36), Chhindwara (34), Satna (32), Betul (30) , plus 32 more districts.

Coverage in Madhya Pradesh — by district

Total rows:2,755 With mobile:2,755 With website:964
Districts Total With mobile With website
Shahdol 607 607 212
Mandla 304 304 106
Bhind 202 202 71
Katni 152 152 53
Singrauli 121 121 42
Gwalior 101 101 35
Agar Malwa 87 87 30
Umaria 76 76 27
Panna 67 67 23
Rewa 61 61 21
All districts (52) 2,755 2,755 964

Coverage in Madhya Pradesh — all 52 districts

Districts Total With mobile With website
Shahdol 607 607 212
Mandla 304 304 106
Bhind 202 202 71
Katni 152 152 53
Singrauli 121 121 42
Gwalior 101 101 35
Agar Malwa 87 87 30
Umaria 76 76 27
Panna 67 67 23
Rewa 61 61 21
Dindori 55 55 19
Balaghat 51 51 18
Shajapur 47 47 16
Sheopur 43 43 15
Sehore 40 40 14
Raisen 38 38 13
Narsinghpur 36 36 13
Chhindwara 34 34 12
Satna 32 32 11
Betul 30 30 11
Shivpuri 29 29 10
Sagar 28 28 10
Rajgarh 26 26 9
Dewas 25 25 9
Mandsaur 24 24 8
Ratlam 23 23 8
Hoshangabad 22 22 8
Anuppur 22 22 8
Ashoknagar 21 21 7
Khandwa 20 20 7
Tikamgarh 20 20 7
Bhopal 19 19 7
Morena 18 18 6
Harda 18 18 6
Indore 17 17 6
Barwani 17 17 6
Alirajpur 16 16 6
Burhanpur 16 16 6
Neemuch 16 16 6
Jabalpur 15 15 5
Sidhi 15 15 5
Vidisha 14 14 5
Khargone 14 14 5
Datia 14 14 5
Guna 14 14 5
Seoni 13 13 5
Jhabua 13 13 5
Damoh 13 13 5
Hoshangabad (Narmadapuram) 13 13 5
Ujjain 12 12 4
Dhar 12 12 4
Chhatarpur 12 12 4
All districts (52) 2,755 2,755 964

Related coverage — same industry Drill up for wider coverage

79,999+ rows $162.00 $108.00 −33% OFF

Pg Accommodations Database — India

The PG Accommodations database for Madhya Pradesh, India includes 2,755+ 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

  • Lookalike modelling — feed verified pg accommodations signals into your ad platform's modelling for Madhya Pradesh, India.
  • Trend reports — slice pg accommodations review-keywords by city to surface emerging consumer pain points in Madhya Pradesh, India.
  • Retention monitoring — flag pg accommodations accounts in Madhya Pradesh, India that have moved or closed since last contact.

Frequently asked about this dataset

How many businesses are in the PG Accommodations database for Madhya Pradesh, India?

The PG Accommodations database for Madhya Pradesh, India contains 2,755+ 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 PG Accommodations database for Madhya Pradesh, India?

The complete PG Accommodations 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 PG Accommodations 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 PG Accommodations 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 pg accommodations footprint in Madhya Pradesh, India.

Is the PG Accommodations dataset updated regularly?

Yes. The PG Accommodations 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 PG Accommodations 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 PG Accommodations 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 PG Accommodations Database in Madhya Pradesh, India

Data2Sales AI's World Wide Data database for Madhya Pradesh, India consolidates 2,755+ verified records into a single, verified contact list. The engine crosses multiple sources — official websites, business registries, social profiles, licensed directories — and validates each record monthly, so your sales pipeline starts with accurate data instead of a spreadsheet of guesses.

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

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