List of Dry cleaners in Lithuania
There are 122 Dry cleaners in Lithuania as of August, 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.
Trusted by 50,000+ customers worldwide
Sample Data
Preview of Dry cleaner businesses in Lithuania
| Business Name | City | Rating | Reviews | Phone | Website | Latitude | Longitude | |
|---|---|---|---|---|---|---|---|---|
|
SILKUS Užuolaidų šva...
|
Vilnius
|
★
4.0
|
42
|
(*-6*8) *1*6* | *****@silkus.lt | silkus.lt |
**.****
|
**.****
|
|
Linos artelė siuvykl...
|
Kaunas
|
★
3.0
|
23
|
(*-6*0) *4*3* | *****@linosartele.lt | linosartele.lt |
**.****
|
**.****
|
|
Linos artelė siuvykl...
|
Kaunas
|
★
3.0
|
18
|
(*-6*6) *2*5* | *****@linosartele.lt | linosartele.lt |
**.****
|
**.****
|
|
UAB Švarolita "
|
Gargždai
|
★
4.0
|
16
|
(*-6*6) *4*0* | *****@vz.lt | rekvizitai.vz.lt |
**.****
|
**.****
|
|
Linos artelė siuvykl...
|
Šiauliai
|
★
3.0
|
9
|
(*-6*6) *1*8* | *****@linosartele.lt | linosartele.lt |
**.****
|
**.****
|
Get access to all 117 remaining Dry cleaners with complete contact information, addresses, and business details.
Get Complete List (122 Businesses)Which states have the most Dry cleaners in Lithuania?
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%
|
Which cities have the most Dry cleaners in Lithuania?
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 list for Dry cleaners in Lithuania is one of the most comprehensive in the industry. As of August, 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 list 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.
Common questions about Dry cleaners in Lithuania
How many Dry cleaners are there in Lithuania?
There are 122 Dry cleaners in Lithuania as of August, 2025.
Which state has the most Dry cleaners in Lithuania?
Vilnius City Municipality has the most Dry cleaners with 49 businesses, about 40% of the total.
How many Dry cleaners in Lithuania have a phone number?
119 of the 122 Dry cleaners (98%) have a phone number.
How many Dry cleaners in Lithuania have an email address?
Email addresses are collected from each business's website after you order - typically 60-70% are collectable, and the final count is confirmed after enrichment. Based on the website count, the working estimate is about 74 of the 122 Dry cleaners (61%).
How many Dry cleaners in Lithuania have a website?
106 of the 122 Dry cleaners (87%) have a website.
How many Dry cleaners in Lithuania do not have a website?
16 of the 122 Dry cleaners (13%) have no website listed.
How many Dry cleaners in Lithuania list their opening hours?
85 of the 122 Dry cleaners (70%) list opening hours.
What data fields are included for Dry cleaners in Lithuania?
Each of the 122 records includes business name, full address, phone number, website, email address, customer rating, review count, opening hours, geographic coordinates and business categories.
How do I target Dry cleaners through Facebook ad campaigns?
By uploading our Dry cleaners dataset, you can effortlessly reach the right target audience, optimize your ad campaigns, and increase your conversion rate.
How do I target Dry cleaners through Google ad campaigns?
By uploading our Dry cleaners dataset, you can effortlessly reach the right target audience through Google Ads, optimize your ad campaigns, and maximize your ROI.
How do email addresses of Dry cleaners assist in online marketing?
With the email addresses of Dry cleaners, you can reach your audience directly, ensuring your messages land in the inboxes of potential customers, leading to increased engagement and conversion rates.
How do phone numbers of Dry cleaners help businesses?
Whether for cold calling campaigns or personalized messaging, having accurate phone numbers allows you to establish meaningful connections.
How does the mailing address data of Dry cleaners support marketing strategies?
The mailing address data of Dry cleaners ensures that your promotional materials reach the hands of potential customers, driving engagement and brand recognition.
Can I download a free sample of the Dry cleaner data?
Yes. A free sample workbook is available without an account, and you can also request a sample built for a specific country through our contact form.
In what formats can I download the Dry cleaner data?
The dataset is delivered as CSV, Esri Shapefile, Excel, GeoJSON, or KML (Google Earth) file formats.
How much does the Dry cleaner data cost?
Pricing starts from $49 and scales with the number of records. Request a quote through our contact form and we will confirm the price for your selection.
How can I get the Dry cleaner data for Lithuania?
You can request a free sample through our contact form, or request the complete dataset of 122 businesses with contact details by contacting our sales team.
Email addresses are collected from each business's website after you order. Typically 60–70% are collectable, and the final count is confirmed after enrichment.
Related Categories in Lithuania
Explore related categories in Lithuania
Dry cleaners in Other Countries
Explore Dry cleaners data across the largest markets worldwide
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.