How many Hotels are in Lithuania?

There are 1,915 Hotels in Lithuania as of September, 2025. The highest number of Hotels of Lithuania are in Palanga City Municipality and Vilnius City Municipality with 299 businesses and 252 businesses, respectively. Palanga City Municipality makes up approximately 15.6% of all Hotels in the Lithuania.

1,915 businesses
1,517 phones
1,012 websites
0 hours

Sample Data

Preview of Hotel businesses in Lithuania

Business Name City Rating Reviews Phone Website Latitude Longitude
Radisson Blu Hotel L...
Vilnius
4.0
4,669
(*-5) *7* 6*7* radissonhotels.com
**.****
**.****
Atostogų parkas
Žibininkai
4.0
4,652
(*-6*0) *5*2* atostoguparkas.lt
**.****
**.****
Vilnius Grand Resort
Vilnius
4.0
4,528
(*-5) *7* 9*0* vilniusgrandresort.c...
**.****
**.****
Belmontas, pramogu i...
Vilnius
4.0
4,472
(*-6*6) *4*5* belmontas.lt
**.****
**.****
Panorama Hotel
Vilnius
3.0
3,963
(*-5) *3* 8*2* panoramahotel.lt
**.****
**.****
Comfort Hotel LT - R...
Vilnius
4.0
3,165
(*-5) *5* 5*1* comforthotel.lt
**.****
**.****
UAB GRAND SPA LITHUA...
Druskininkai
4.0
2,992
(*-3*3) *1*0* grandspa.lt
**.****
**.****
Harmony Park
Vazgaikiemis
4.0
2,703
(*-6*0) *8*1* harmonypark.lt
**.****
**.****
Downtown Forest Host...
Vilnius
4.0
2,585
(*-6*6) *4*2* Not available
**.****
**.****
Novotel Vilnius Cent...
Vilnius
4.0
2,556
(*-5) *6* 6*0* Not available
**.****
**.****
Sample Data Only

Get access to all 1,905 remaining Hotels with complete contact information, addresses, and business details.

Get Complete Dataset (1,915 Businesses)

Top States

Highest concentration of Hotels

State Business Count Percentage
Palanga City Municipality
299
15.6%
Vilnius City Municipality
252
13.2%
Kaunas City Municipality
99
5.2%
Klaipeda City Municipality
88
4.6%
Druskininkai Municipality
82
4.3%
Trakai District Municipality
58
3%
Klaipėda District Municipality
50
2.6%
Molėtai District Municipality
37
1.9%
Vilnius District Municipality
36
1.9%
Neringa Municipality
34
1.8%
Šiauliai City Municipality
34
1.8%
Utena District Municipality
31
1.6%
Kaunas District Municipality
30
1.6%
Šilutė District Municipality
29
1.5%
Plungė District Municipality
29
1.5%
Anykščiai District Municipality
27
1.4%
Ignalina District Municipality
26
1.4%
Zarasai District Municipality
22
1.1%
Panevėžys District Municipality
19
1%
Birštonas Municipality
18
0.9%
Lazdijai District Municipality
16
0.8%
Ukmergė District Municipality
15
0.8%
Varėna District Municipality
15
0.8%
Biržai District Municipality
15
0.8%
Prienai District Municipality
14
0.7%
Šiauliai District Municipality
14
0.7%
Šakiai District Municipality
13
0.7%
Marijampolė Municipality
13
0.7%
Alytus City Municipality
13
0.7%
Panevėžys City Municipality
12
0.6%
Kretinga District Municipality
12
0.6%
Kaišiadorys District Municipality
11
0.6%
Elektrėnai Municipality
11
0.6%
Švenčionys District Municipality
10
0.5%
Mažeikiai District Municipality
9
0.5%
Kėdainiai District Municipality
9
0.5%
Raseiniai District Municipality
9
0.5%
Širvintos District Municipality
8
0.4%
Šalčininkai District Municipality
8
0.4%
Kelmė District Municipality
8
0.4%
Telšiai District Municipality
8
0.4%
Tauragė District Municipality
7
0.4%
Jurbarkas District Municipality
7
0.4%
Vilkaviškis District Municipality
6
0.3%
Rokiškis District Municipality
6
0.3%
Radviliškis District Municipality
5
0.3%
Alytus District Municipality
5
0.3%
Šilalė District Municipality
5
0.3%
Akmenė District Municipality
4
0.2%
Jonava District Municipality
3
0.2%

Top Cities

Cities with most Hotels

City Business Count Percentage
Palanga
292
15.2%
Vilnius
250
13.1%
Kaunas
97
5.1%
Klaipėda
85
4.4%
Druskininkai
71
3.7%
Šiauliai
34
1.8%
Birštonas
17
0.9%
Nida
16
0.8%
Anykščiai
14
0.7%
Biržai
13
0.7%
Alytus
12
0.6%
Panevėžys
12
0.6%
Trakai
12
0.6%
Utena
12
0.6%
Plungė
11
0.6%
Marijampolė
10
0.5%
Molėtai
8
0.4%
Ukmergė
8
0.4%
Zarasai
8
0.4%
Šilutė
8
0.4%
Karklė
7
0.4%
Juodkrantė
7
0.4%
Plateliai
7
0.4%
Ignalina
6
0.3%
Mažeikiai
6
0.3%
Telšiai
6
0.3%
Rusnė
6
0.3%
Jurbarkas
5
0.3%
Preila
5
0.3%
Tauragė
5
0.3%
Šakiai
5
0.3%
Šilalė
5
0.3%
Kulautuva
4
0.2%
Priekulė
4
0.2%
Svencelė
4
0.2%
Kėdainiai
4
0.2%
Pervalka
4
0.2%
Šventoji
4
0.2%
Raseiniai
4
0.2%
Varėna
4
0.2%
Šiauliai
4
0.2%
Kintai
4
0.2%
Kernavė
4
0.2%
Strigailiškis
3
0.2%
Rumšiškės
3
0.2%
Karmėlava
3
0.2%
Kaunas
3
0.2%
Kelmė
3
0.2%
Radailiai
3
0.2%
Veisiejai
3
0.2%

What Data Do We Provide?

Our dataset for Hotels in Lithuania is one of the most comprehensive in the industry. As of October, 2025, we have compiled data on 1,915 verified listings.

Essential Business Details

Complete business name, full address, and operational hours for all 1,915 Hotels

Contact Information

Direct phone numbers, email addresses, and website URLs for Hotels across Lithuania

Customer Engagement Metrics

Average ratings, total review counts, and customer feedback data from Hotels in Lithuania

Precise Geolocation Data

Exact latitude/longitude coordinates and regional distribution across 50 states in Lithuania

Complete Data Fields for Hotels in Lithuania:

Each of the 1,915 Hotels records includes:

Business Name
Complete Street Address
Website URL
Phone Number
Email Address
Customer Rating
Review Count
Photo Count
Business Timezone
Latitude Coordinates
Longitude Coordinates
Business Categories
Price Range Information
Rating Distribution
Business Photos
Popular Times Data
Additional Business Info
Key Business Highlights
Operating Hours
Topic Categories
Owner Information
Business age
Last Updated Date
Social Media Profiles

Business Attributes

Common features and services (10+ businesses)

payment methods

Accepts credit cards 31
Accepts debit cards 31
Accepts nfc mobile payments 29
Accepts reservations 28
Accepts checks 2

services

Serves dine in 34
Offers takeout 30
Serves coffee 30
Serves alcohol 28
Serves beer 28

amenities

Has wheelchair accessible parking lot 86
Has wheelchair accessible entrance 53
Good for kids 41
Has wheelchair accessible seating 29
Has seating 28

accessibility

No wheelchair accessible seating 5
No wheelchair accessible restroom 4
No wheelchair accessible entrance 3
No wheelchair accessible parking lot 1

business type

Identifies as women owned 11

other

Free parking lot 35
Free street parking 29
Cozy 26
Popular for dinner 24
Quiet 24

How You Can Use Hotels Data from Lithuania

Our comprehensive dataset of 1,915 Hotels 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 Hotels industry.

Geospatial Analysis & Hotspot Detection

Perform advanced spatial analysis to identify business clusters, service gaps, and market saturation patterns across 50 states in Lithuania using precise coordinate data from 1,915 Hotels.

Market Research & Competitive Analysis

Analyze trends, saturation, and competitor presence across 50 states in Lithuania to uncover underserved areas and high-potential markets for Hotels.

Lead Generation & Sales Prospecting

Find and reach Hotels in Lithuania using verified phone numbers, websites, and category filters for smarter, targeted prospecting.

Location Intelligence & Expansion Planning

Plan new Hotels openings or rollouts using density maps and insights from our 1,915 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 1,915 Hotels for improved sentiment analysis and recommendation systems.

Real Estate & Investment Insights

Evaluate commercial potential in Lithuania by analyzing the distribution of Hotels across 50 cities and their activity trends.

Email Marketing Campaigns

Run targeted email campaigns to Hotels in Lithuania using verified email addresses for personalized outreach and improved conversion rates.

Cold Calling & Telemarketing

Use up-to-date phone numbers from our 1,915 Hotels database to initiate effective conversations and improve call conversion rates.

Direct Mail Marketing

Send promotional materials to Hotels across Lithuania using accurate mailing addresses for targeted delivery and higher response rates.

Social Media Outreach

Engage Hotels 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 Hotels in specific regions of Lithuania and their popularity metrics.

Local SEO & Digital Services

Optimize marketing strategies for Hotels by studying GMB listings, ratings, and categories used by top-performing competitors in Lithuania.

Mapping & Navigation Integration

Add Hotels POI data to your apps for delivery, logistics, or travel using accurate coordinates from 1,915 verified locations in Lithuania.

How can I download a list of Hotels in Lithuania into Excel?

You can download the complete list of 1,915 Hotels data as an Excel file, along with geo-coded addresses, phone numbers and open hours by contacting our sales team.