This dataset covers 9,387 verified records spread across
79+ districts in Uttar Pradesh.
9,387 records carry a verified phone number and
3,285 include a business website — directly usable for
outreach, segmentation, and CRM import.
The highest-density districts are
Kanpur Nagar (1,895 listings), Shravasti (948 listings), Balrampur (632 listings), Bareilly (474 listings), Lucknow (379 listings), Kasganj (316 listings), Ballia (271 listings), and Azamgarh (237 listings).
Total rows:9,387With mobile:9,387With website:3,285
Districts
Total
With mobile
With website
Kanpur Nagar
1,895
1,895
663
Shravasti
948
948
332
Balrampur
632
632
221
Bareilly
474
474
166
Lucknow
379
379
133
Kasganj
316
316
111
Ballia
271
271
95
Azamgarh
237
237
83
Mau
211
211
74
Amethi
190
190
67
All districts (79)
9,387
9,387
3,285
Coverage in Uttar Pradesh — all 79 districts
Districts
Total
With mobile
With website
Kanpur Nagar
1,895
1,895
663
Shravasti
948
948
332
Balrampur
632
632
221
Bareilly
474
474
166
Lucknow
379
379
133
Kasganj
316
316
111
Ballia
271
271
95
Azamgarh
237
237
83
Mau
211
211
74
Amethi
190
190
67
Mainpuri
172
172
60
Hapur
158
158
55
Hamirpur
146
146
51
Raebareli
135
135
47
Baghpat
126
126
44
Moradabad
118
118
41
Kanpur Dehat
111
111
39
Aligarh
105
105
37
Shrawasti
100
100
35
Pilibhit
95
95
33
Hathras
90
90
32
Budaun
86
86
30
Maharajganj
82
82
29
Prayagraj
79
79
28
Kushinagar
76
76
27
Deoria
73
73
26
Lalitpur
70
70
25
Sant Kabir Nagar
68
68
24
Bahraich
65
65
23
Bulandshahr
63
63
22
Kannauj
61
61
21
Gautam Buddha Nagar
59
59
21
Varanasi
57
57
20
Kaushambi
56
56
20
Hardoi
54
54
19
Shamli
53
53
19
Agra
51
51
18
Bhadohi
50
50
18
Ghaziabad
49
49
17
Ayodhya
47
47
16
Gonda
46
46
16
Gorakhpur
45
45
16
Mahoba
44
44
15
Farrukhabad
43
43
15
Jalaun
42
42
15
Firozabad
41
41
14
Pratapgarh
40
40
14
Sultanpur
39
39
14
Chandauli
39
39
14
Sitapur
38
38
13
Shahjahanpur
37
37
13
Banda
36
36
13
Auraiya
36
36
13
Ghazipur
35
35
12
Jhansi
34
34
12
Siddharthnagar
34
34
12
Allahabad
33
33
12
Unnao
33
33
12
Sonbhadra
32
32
11
Chitrakoot
32
32
11
Mirzapur
31
31
11
Kheri
31
31
11
Sambhal
30
30
11
Muzaffarnagar
30
30
11
Saharanpur
29
29
10
Rampur
29
29
10
Bijnor
28
28
10
Kanpur
28
28
10
Ambedkar Nagar
27
27
9
Fatehpur
27
27
9
Barabanki
27
27
9
Jaunpur
26
26
9
Etah
26
26
9
Amroha
26
26
9
Meerut
26
26
9
Mathura
25
25
9
Basti
25
25
9
Lakhimpur Kheri
25
25
9
Etawah
24
24
8
All districts (79)
9,387
9,387
3,285
Liquor Stores Locations Database — India
The Liquor stores database includes 9,387+ verified Liquor stores in Uttar Pradesh, India with name, address, city, state, phone, hours, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.
Hetan (IN) bought 1 day ago
·Bahadur (IN) bought 1 day ago
·Hrishikesh (IN) bought 1 day ago
·Virat (IN) bought 1 day ago
·Rajendra (IN) bought 2 days ago
How to use this data
Influencer / brand-ambassador placement — match content creators to the closest Liquor outlet in Uttar Pradesh, India.
White-space analysis — overlay Liquor pins against your own network in Uttar Pradesh, India to find under-served zones.
Mobile fleet routing — feed coords into your dispatch system so drivers hit Liquor sites in optimal order.
Frequently asked about this dataset
How many Liquor stores are in Uttar Pradesh, India?
Counting only operational sites, the Liquor footprint in Uttar Pradesh, India sits at about 9,387+ stores this 2026. The CSV on this page covers all of them — phones, hours, GPS, the lot.
Where can I download a database of all Liquor stores in Uttar Pradesh, India?
This page IS the download point. The Liquor stores CSV for Uttar Pradesh, India ships immediately after payment and includes all verified store-level fields.
What fields are included in the Liquor stores dataset?
The CSV ships with one row per Liquor location, columns covering Liquor store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL plus website, opening-hours window, ratings and review counts. UTF-8 encoded — imports cleanly into HubSpot, Salesforce, Zoho or any CRM.
How accurate is the Liquor stores location data?
Every Liquor location is cross-referenced across the Liquor store locator, Google Maps and licensed business directories before it ships. Closed storefronts, disconnected phones and duplicate listings are stripped on every monthly refresh, so the CSV you download reflects the live Liquor footprint in Uttar Pradesh, India.
Is the Liquor stores data updated?
Yes. The Liquor stores dataset is rebuilt on a rolling 30-day cycle — new openings come in through franchise expansion feeds and registrar filings, closures are detected from negative Google signals (phone disconnected, 'permanently closed' markers) and dropped before export.
Can I use the Liquor stores data for marketing and sales outreach?
Yes — the dataset is licensed for commercial use after purchase. Common use cases include geo-targeted advertising against Liquor catchments, competitor benchmarking, site-selection analytics, supplier outreach and franchise planning. Personal consumer data is not included, only publicly listed business contact information.
What format do I receive the Liquor stores database in?
You receive a UTF-8 encoded CSV file. It opens cleanly in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request after purchase.
How soon after purchase can I download the Liquor stores CSV?
Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time, so you always receive the latest verified Liquor stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
About the Liquor Stores Database in Uttar Pradesh, India
This World Wide Data list covers 9,387+ verified records operating in Uttar Pradesh, India. Every entry is compiled by the Data2Sales AI engine from multiple verified sources, de-duplicated against our master index, and refreshed each month — saving sales, marketing, and research teams the manual cleanup normally needed before outreach.