How many Inns are in Lithuania?
There are 29 Inns in 10 states and territories of the Lithuania. The highest number of Inns of Lithuania are in Palanga City Municipality and Vilnius City Municipality with 5 businesses and 4 businesses, respectively. Palanga City Municipality makes up approximately 17.2% of all Inns in the Lithuania.
Data last updated: July, 2025
Total Businesses
29
With Phone
21
With Website
11
With Hours
0
How can I download a list of Inns in Lithuania into Excel?
You can download the complete list of 29 Inns data as an Excel file, along with geo-coded addresses, phone numbers and open hours by contacting our sales team.
Sample Data
Preview of Inn businesses in Lithuania
| Business Name | City | Rating | Reviews | Phone | Website |
|---|---|---|---|---|---|
|
HBH Palanga
|
Žibininkai
|
★
4.0
|
14,573
|
(*-6*5) *7*7* | hbh.lt |
|
Žvejonė
|
Juodkrantė
|
★
4.0
|
1,413
|
Not available | facebook.com |
|
Baltazaras
|
Vilnius
|
★
3.0
|
875
|
(*-6*5) *6*1* | Not available |
|
Domus Hotel
|
Birštonas
|
★
4.0
|
239
|
(*-6*6) *8*0* | Not available |
|
Pavoverė
|
Vilnius
|
★
3.0
|
232
|
*1*7 *4*8*8* | Not available |
|
Paukščių Tako Svečių Namai
|
Šventoji
|
★
4.0
|
231
|
(*-6*3) *9*4* | priejuros.lt |
|
Karčema "Pas ČIPĄ"
|
Skrebinai
|
★
4.0
|
188
|
(*-6*2) *4*1* | pascipa.lt |
|
Antano Gedvilo kaimo sodyba
|
Jovariškių k.
|
★
4.0
|
186
|
(*-6*2) *2*5* | gedvilosodyba.blogsp... |
|
Love Island
|
Druskininkai
|
★
4.0
|
157
|
Not available | druskininkai-guestho... |
|
Pievų takas
|
Palanga
|
★
4.0
|
125
|
(*-6*4) *3*0* | priejuros.lt |
Get access to all 19 remaining Inns with complete contact information, addresses, and business details.
Get Complete Dataset (29 Businesses)Top States
Highest concentration of Inns
| State | Business Count | Percentage |
|---|---|---|
| Palanga City Municipality |
5
|
17.2%
|
| Vilnius City Municipality |
4
|
13.8%
|
| Kaunas District Municipality |
2
|
6.9%
|
| Kretinga District Municipality |
2
|
6.9%
|
| Neringa Municipality |
2
|
6.9%
|
| Šilutė District Municipality |
2
|
6.9%
|
| Jonava District Municipality |
2
|
6.9%
|
| Marijampolė Municipality |
1
|
3.4%
|
| Raseiniai District Municipality |
1
|
3.4%
|
| Rietavas Municipality |
1
|
3.4%
|
Top Cities
Cities with most Inns
| City | Business Count | Percentage |
|---|---|---|
|
Palanga
|
4
|
13.8%
|
|
Vilnius
|
4
|
13.8%
|
|
Grynaičiai
|
2
|
6.9%
|
|
Birštonas
|
1
|
3.4%
|
|
Druskininkai
|
1
|
3.4%
|
|
Jonava
|
1
|
3.4%
|
|
Skrebinai
|
1
|
3.4%
|
|
Garliava
|
1
|
3.4%
|
|
Karmėlava
|
1
|
3.4%
|
|
Kretinga
|
1
|
3.4%
|
What Data Do We Provide?
Our dataset for Inns in Lithuania is one of the most comprehensive in the industry. As of August, 2025, we have compiled data on 29 verified listings.
Essential Business Details
Complete business name, full address, and operational hours for all 29 Inns
Contact Information
Direct phone numbers, email addresses, and website URLs for Inns across Lithuania
Customer Engagement Metrics
Average ratings, total review counts, and customer feedback data from Inns in Lithuania
Precise Geolocation Data
Exact latitude/longitude coordinates and regional distribution across 10 states in Lithuania
Complete Data Fields for Inns in Lithuania:
Each of the 29 Inns records includes:
Business Attributes
Common features and services (10+ businesses)
payment methods
services
amenities
business type
other
How You Can Use Inns Data from Lithuania
Our comprehensive dataset of 29 Inns in Lithuania empowers you to reach the right audience through multiple channels. Here are key ways this data can give you a competitive edge in the Inns industry.
Market Research & Competitive Analysis
Analyze trends, saturation, and competitor presence across 10 states in Lithuania to uncover underserved areas and high-potential markets for Inns.
Lead Generation & Sales Prospecting
Find and reach Inns in Lithuania using verified phone numbers, websites, and category filters for smarter, targeted prospecting.
Location Intelligence & Expansion Planning
Plan new Inns openings or rollouts using density maps and insights from our 29 listings to target low-competition, high-demand zones in Lithuania.
AI & NLP Model Training
Train machine learning models with structured data and real user reviews from 29 Inns for improved sentiment analysis and recommendation systems.
Real Estate & Investment Insights
Evaluate commercial potential in Lithuania by analyzing the distribution of Inns across 10 cities and their activity trends.
Email Marketing Campaigns
Run targeted email campaigns to Inns in Lithuania using verified email addresses for personalized outreach and improved conversion rates.
Cold Calling & Telemarketing
Use up-to-date phone numbers from our 29 Inns database to initiate effective conversations and improve call conversion rates.
Direct Mail Marketing
Send promotional materials to Inns across Lithuania using accurate mailing addresses for targeted delivery and higher response rates.
Social Media Outreach
Engage Inns in Lithuania via Instagram, LinkedIn, or Facebook using curated profile data for multi-channel marketing.
Footfall & Demand Estimation
Estimate local foot traffic and demand by analyzing the concentration of Inns in specific regions of Lithuania and their popularity metrics.
Local SEO & Digital Services
Optimize marketing strategies for Inns by studying GMB listings, ratings, and categories used by top-performing competitors in Lithuania.
Mapping & Navigation Integration
Add Inns POI data to your apps for delivery, logistics, or travel using accurate coordinates from 29 verified locations in Lithuania.
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