This dataset covers 2,257 verified records spread across
79+ districts in Uttar Pradesh.
2,257 records carry a verified phone number and
790 include a business website — directly usable for
outreach, segmentation, and CRM import.
The highest-density districts are
Kanpur (456 listings), Mirzapur (228 listings), Sitapur (152 listings), Amroha (114 listings), Siddharthnagar (91 listings), Agra (76 listings), Kaushambi (65 listings), and Meerut (57 listings).
Additional coverage spans
Gonda (51),
Etawah (46),
Pratapgarh (41),
Fatehpur (38),
Unnao (35),
Bulandshahr (33),
Rampur (30),
Auraiya (28),
Banda (27),
Sant Kabir Nagar (25),
Ghaziabad (24),
Bijnor (23)
, plus 59 more districts.
Coverage in Uttar Pradesh — by district
Total rows:2,257With mobile:2,257With website:790
Districts
Total
With mobile
With website
Kanpur
456
456
160
Mirzapur
228
228
80
Sitapur
152
152
53
Amroha
114
114
40
Siddharthnagar
91
91
32
Agra
76
76
27
Kaushambi
65
65
23
Meerut
57
57
20
Gonda
51
51
18
Etawah
46
46
16
All districts (79)
2,257
2,257
790
Coverage in Uttar Pradesh — all 79 districts
Districts
Total
With mobile
With website
Kanpur
456
456
160
Mirzapur
228
228
80
Sitapur
152
152
53
Amroha
114
114
40
Siddharthnagar
91
91
32
Agra
76
76
27
Kaushambi
65
65
23
Meerut
57
57
20
Gonda
51
51
18
Etawah
46
46
16
Pratapgarh
41
41
14
Fatehpur
38
38
13
Unnao
35
35
12
Bulandshahr
33
33
12
Rampur
30
30
11
Auraiya
28
28
10
Banda
27
27
9
Sant Kabir Nagar
25
25
9
Ghaziabad
24
24
8
Bijnor
23
23
8
Saharanpur
22
22
8
Shravasti
21
21
7
Ambedkar Nagar
20
20
7
Maharajganj
19
19
7
Chitrakoot
18
18
6
Sambhal
18
18
6
Muzaffarnagar
17
17
6
Jhansi
16
16
6
Kheri
16
16
6
Balrampur
15
15
5
Moradabad
15
15
5
Raebareli
14
14
5
Basti
14
14
5
Shahjahanpur
13
13
5
Mahoba
13
13
5
Lakhimpur Kheri
13
13
5
Jalaun
12
12
4
Mathura
12
12
4
Ghazipur
12
12
4
Prayagraj
11
11
4
Shrawasti
11
11
4
Jaunpur
11
11
4
Gautam Buddha Nagar
11
11
4
Lalitpur
10
10
4
Lucknow
10
10
4
Kasganj
10
10
4
Bahraich
10
10
4
Mau
9
9
3
Varanasi
9
9
3
Etah
9
9
3
Barabanki
9
9
3
Hathras
9
9
3
Baghpat
9
9
3
Kushinagar
8
8
3
Aligarh
8
8
3
Shamli
8
8
3
Hardoi
8
8
3
Hapur
8
8
3
Kannauj
8
8
3
Amethi
8
8
3
Firozabad
7
7
2
Kanpur Nagar
7
7
2
Gorakhpur
7
7
2
Bareilly
7
7
2
Chandauli
7
7
2
Budaun
7
7
2
Azamgarh
7
7
2
Sultanpur
7
7
2
Deoria
7
7
2
Mainpuri
7
7
2
Hamirpur
6
6
2
Kanpur Dehat
6
6
2
Ayodhya
6
6
2
Sonbhadra
6
6
2
Pilibhit
6
6
2
Bhadohi
6
6
2
Farrukhabad
6
6
2
Ballia
6
6
2
Allahabad
5
5
2
All districts (79)
2,257
2,257
790
Related coverage — same industry
Drill up for wider coverage
The Home Nursing Services database for Uttar Pradesh, India includes 2,257+ 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
Compliance + KYC checks — cross-reference the home nursing services master list against your existing Uttar Pradesh, India customer base.
Sizing + segmentation — slice the home nursing services universe in Uttar Pradesh, India by region, city size and Google rating tier.
Sales coaching — review actual home nursing services call-quality across territories in Uttar Pradesh, India.
Frequently asked about this dataset
How many businesses are in the Home Nursing Services database for Uttar Pradesh, India?
The Home Nursing Services database for Uttar Pradesh, India contains 2,257+ 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 Home Nursing Services database for Uttar Pradesh, India?
The complete Home Nursing Services database for Uttar 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 Home Nursing Services 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 Home Nursing Services data for Uttar 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 home nursing services footprint in Uttar Pradesh, India.
Is the Home Nursing Services dataset updated regularly?
Yes. The Home Nursing Services 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 Home Nursing Services 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 Home Nursing Services 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 Home Nursing Services Database in Uttar Pradesh, India
Data2Sales AI's World Wide Data database for Uttar Pradesh, India consolidates 2,257+ 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.
Also available — Zone-wide roll-ups
Buy multiple neighbouring states in a single file. Cheaper than the country pack, wider than any one state.