How many Dry cleaners are in Lithuania?
There are 122 Dry cleaners in Lithuania as of September, 2025. The highest number of Dry cleaners of Lithuania are in Vilnius City Municipality and Kaunas City Municipality with 49 businesses and 14 businesses, respectively. Vilnius City Municipality makes up approximately 40.2% of all Dry cleaners in the Lithuania.
Sample Data
Preview of Dry cleaner businesses in Lithuania
| Business Name | City | Rating | Reviews | Phone | Website | Latitude | Longitude |
|---|---|---|---|---|---|---|---|
|
Minkštų baldų valyma...
|
Vilnius
|
★
5.0
|
243
|
(*-6*4) *7*2* | turbosvara.lt |
**.****
|
**.****
|
|
Meninis LyginimasUAB
|
Kaunas
|
★
4.0
|
227
|
(*-6*9) *8*2* | mlauto.lt |
**.****
|
**.****
|
|
Car Wash
|
Kaunas
|
★
4.0
|
175
|
(*-6*8) *2*8* | variklioplovimas.lt |
**.****
|
**.****
|
|
Drabužių valykla LAV...
|
Vilnius
|
★
4.0
|
124
|
(*-6*9) *0*1* | lavanda.lt |
**.****
|
**.****
|
|
Savitarnos skalbykla...
|
Vilnius
|
★
4.0
|
116
|
(*-6*8) *3*1* | londris.lt |
**.****
|
**.****
|
|
Rakūnas – Baldų ir k...
|
Vilnius
|
★
5.0
|
116
|
(*-6*9) *8*5* | rakunas.lt |
**.****
|
**.****
|
|
Savitarnos skalbykla...
|
Vilnius
|
★
4.0
|
114
|
(*-6*8) *3*1* | londris.lt |
**.****
|
**.****
|
|
Linos artelė | Pauli...
|
Vilnius
|
★
3.0
|
104
|
(*-6*5) *2*8* | linosartele.lt |
**.****
|
**.****
|
|
Savitarnos skalbykla...
|
Vilnius
|
★
4.0
|
85
|
(*-6*8) *3*1* | londris.lt |
**.****
|
**.****
|
|
Delicato - a dry cle...
|
Kaunas
|
★
4.0
|
82
|
(*-6*6) *9*9* | delicato.lt |
**.****
|
**.****
|
Get access to all 112 remaining Dry cleaners with complete contact information, addresses, and business details.
Get Complete Dataset (122 Businesses)Top States
Highest concentration of Dry cleaners
| State | Business Count | Percentage |
|---|---|---|
| Vilnius City Municipality |
49
|
40.2%
|
| Kaunas City Municipality |
14
|
11.5%
|
| Šiauliai City Municipality |
6
|
4.9%
|
| Klaipeda City Municipality |
6
|
4.9%
|
| Vilnius District Municipality |
6
|
4.9%
|
| Panevėžys City Municipality |
5
|
4.1%
|
| Utena District Municipality |
2
|
1.6%
|
| Kretinga District Municipality |
2
|
1.6%
|
| Marijampolė Municipality |
1
|
0.8%
|
| Pasvalys District Municipality |
1
|
0.8%
|
| Plungė District Municipality |
1
|
0.8%
|
| Ukmergė District Municipality |
1
|
0.8%
|
| Biržai District Municipality |
1
|
0.8%
|
| Alytus City Municipality |
1
|
0.8%
|
| Elektrėnai Municipality |
1
|
0.8%
|
| Akmenė District Municipality |
1
|
0.8%
|
| Klaipėda District Municipality |
1
|
0.8%
|
Top Cities
Cities with most Dry cleaners
| City | Business Count | Percentage |
|---|---|---|
|
Vilnius
|
49
|
40.2%
|
|
Kaunas
|
14
|
11.5%
|
|
Klaipėda
|
6
|
4.9%
|
|
Šiauliai
|
6
|
4.9%
|
|
Panevėžys
|
5
|
4.1%
|
|
Vilnius
|
3
|
2.5%
|
|
Utena
|
2
|
1.6%
|
|
Akmenė
|
1
|
0.8%
|
|
Alytus
|
1
|
0.8%
|
|
Biržai
|
1
|
0.8%
|
|
Vievis
|
1
|
0.8%
|
|
Gargždai
|
1
|
0.8%
|
|
Kretinga
|
1
|
0.8%
|
|
Vydmantai
|
1
|
0.8%
|
|
Marijampolė
|
1
|
0.8%
|
|
Pasvalys
|
1
|
0.8%
|
|
Plungė
|
1
|
0.8%
|
|
Ukmergė
|
1
|
0.8%
|
|
Avižieniai
|
1
|
0.8%
|
|
Skersabaliai
|
1
|
0.8%
|
What Data Do We Provide?
Our dataset for Dry cleaners in Lithuania is one of the most comprehensive in the industry. As of October, 2025, we have compiled data on 122 verified listings.
Essential Business Details
Complete business name, full address, and operational hours for all 122 Dry cleaners
Contact Information
Direct phone numbers, email addresses, and website URLs for Dry cleaners across Lithuania
Customer Engagement Metrics
Average ratings, total review counts, and customer feedback data from Dry cleaners in Lithuania
Precise Geolocation Data
Exact latitude/longitude coordinates and regional distribution across 17 states in Lithuania
Complete Data Fields for Dry cleaners in Lithuania:
Each of the 122 Dry cleaners records includes:
Business Attributes
Common features and services (10+ businesses)
payment methods
services
amenities
accessibility
business type
other
How You Can Use Dry cleaners Data from Lithuania
Our comprehensive dataset of 122 Dry cleaners 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 Dry cleaners industry.
Geospatial Analysis & Hotspot Detection
Perform advanced spatial analysis to identify business clusters, service gaps, and market saturation patterns across 17 states in Lithuania using precise coordinate data from 122 Dry cleaners.
Market Research & Competitive Analysis
Analyze trends, saturation, and competitor presence across 17 states in Lithuania to uncover underserved areas and high-potential markets for Dry cleaners.
Lead Generation & Sales Prospecting
Find and reach Dry cleaners in Lithuania using verified phone numbers, websites, and category filters for smarter, targeted prospecting.
Location Intelligence & Expansion Planning
Plan new Dry cleaners openings or rollouts using density maps and insights from our 122 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 122 Dry cleaners for improved sentiment analysis and recommendation systems.
Real Estate & Investment Insights
Evaluate commercial potential in Lithuania by analyzing the distribution of Dry cleaners across 20 cities and their activity trends.
Email Marketing Campaigns
Run targeted email campaigns to Dry cleaners in Lithuania using verified email addresses for personalized outreach and improved conversion rates.
Cold Calling & Telemarketing
Use up-to-date phone numbers from our 122 Dry cleaners database to initiate effective conversations and improve call conversion rates.
Direct Mail Marketing
Send promotional materials to Dry cleaners across Lithuania using accurate mailing addresses for targeted delivery and higher response rates.
Social Media Outreach
Engage Dry cleaners 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 Dry cleaners in specific regions of Lithuania and their popularity metrics.
Local SEO & Digital Services
Optimize marketing strategies for Dry cleaners by studying GMB listings, ratings, and categories used by top-performing competitors in Lithuania.
Mapping & Navigation Integration
Add Dry cleaners POI data to your apps for delivery, logistics, or travel using accurate coordinates from 122 verified locations in Lithuania.
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How can I download a list of Dry cleaners in Lithuania into Excel?
You can download the complete list of 122 Dry cleaners data as an Excel file, along with geo-coded addresses, phone numbers and open hours by contacting our sales team.