How many Cleaners are in Lithuania?
There are 81 Cleaners in Lithuania as of August, 2025. The highest number of Cleaners of Lithuania are in Vilnius City Municipality and Kaunas City Municipality with 33 businesses and 9 businesses, respectively. Vilnius City Municipality makes up approximately 40.7% of all Cleaners in the Lithuania.
Sample Data
Preview of Cleaners businesses in Lithuania
| Business Name | City | Rating | Reviews | Phone | Website | Latitude | Longitude |
|---|---|---|---|---|---|---|---|
|
Forto Centras
|
Kaunas
|
★
4.0
|
162
|
(*-6*9) *8*0* | fortocentras.lt |
**.****
|
**.****
|
|
SIMBIOCITY Alfa
|
Vilnius
|
★
4.0
|
147
|
(*-6*9) *7*0* | simbiocity.com |
**.****
|
**.****
|
|
Simbiocity / Beta
|
Vilnius
|
★
4.0
|
95
|
(*-6*9) *7*0* | simbiocity.com |
**.****
|
**.****
|
|
Vitaresta
|
Kaunas
|
★
3.0
|
25
|
(*-6*9) *2*4* | vitaresta.lt |
**.****
|
**.****
|
|
Vitaresta, Vilniaus...
|
Vilnius
|
★
3.0
|
22
|
(*-5) *4* 9*3* | valymopaslaugos.lt |
**.****
|
**.****
|
|
MOPA - valymo paslau...
|
Kaunas
|
★
3.0
|
20
|
(*-6*2) *5*5* | Not available |
**.****
|
**.****
|
|
Be dėmių
|
Vilnius
|
★
4.0
|
20
|
(*-6*4) *9*6* | bedemiu.lt |
**.****
|
**.****
|
|
V1p Diamond Clean
|
Vilnius
|
★
5.0
|
20
|
(*-6*8) *8*5* | v1p.lt |
**.****
|
**.****
|
|
Skalbykla, R. Kaspar...
|
Garliava
|
★
3.0
|
19
|
(*-3*) 3*3*1* | Not available |
**.****
|
**.****
|
|
Svaros misija
|
Marijampolė
|
★
4.0
|
19
|
(*-6*2) *5*5* | svarosmisija.lt |
**.****
|
**.****
|
Get access to all 71 remaining Cleaners with complete contact information, addresses, and business details.
Get Complete Dataset (81 Businesses)Top States
Highest concentration of Cleaners
| State | Business Count | Percentage |
|---|---|---|
| Vilnius City Municipality |
33
|
40.7%
|
| Kaunas City Municipality |
9
|
11.1%
|
| Klaipeda City Municipality |
8
|
9.9%
|
| Šiauliai City Municipality |
6
|
7.4%
|
| Panevėžys City Municipality |
5
|
6.2%
|
| Elektrėnai Municipality |
2
|
2.5%
|
| Marijampolė Municipality |
2
|
2.5%
|
| Klaipėda District Municipality |
1
|
1.2%
|
| Biržai District Municipality |
1
|
1.2%
|
| Kaunas District Municipality |
1
|
1.2%
|
| Alytus City Municipality |
1
|
1.2%
|
| Kėdainiai District Municipality |
1
|
1.2%
|
| Mažeikiai District Municipality |
1
|
1.2%
|
Top Cities
Cities with most Cleaners
| City | Business Count | Percentage |
|---|---|---|
|
Vilnius
|
33
|
40.7%
|
|
Kaunas
|
9
|
11.1%
|
|
Klaipėda
|
7
|
8.6%
|
|
Šiauliai
|
6
|
7.4%
|
|
Panevėžys
|
5
|
6.2%
|
|
Elektrėnai
|
2
|
2.5%
|
|
Marijampolė
|
2
|
2.5%
|
|
Alytus
|
1
|
1.2%
|
|
Obelaukiai
|
1
|
1.2%
|
|
Garliava
|
1
|
1.2%
|
|
Mazūriškiai
|
1
|
1.2%
|
|
Kėdainiai
|
1
|
1.2%
|
|
Mažeikiai
|
1
|
1.2%
|
What Data Do We Provide?
Our dataset for Cleaners in Lithuania is one of the most comprehensive in the industry. As of September, 2025, we have compiled data on 81 verified listings.
Essential Business Details
Complete business name, full address, and operational hours for all 81 Cleaners
Contact Information
Direct phone numbers, email addresses, and website URLs for Cleaners across Lithuania
Customer Engagement Metrics
Average ratings, total review counts, and customer feedback data from Cleaners in Lithuania
Precise Geolocation Data
Exact latitude/longitude coordinates and regional distribution across 13 states in Lithuania
Complete Data Fields for Cleaners in Lithuania:
Each of the 81 Cleaners records includes:
Business Attributes
Common features and services (10+ businesses)
payment methods
services
amenities
business type
other
How You Can Use Cleaners Data from Lithuania
Our comprehensive dataset of 81 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 Cleaners industry.
Geospatial Analysis & Hotspot Detection
Perform advanced spatial analysis to identify business clusters, service gaps, and market saturation patterns across 13 states in Lithuania using precise coordinate data from 81 Cleaners.
Market Research & Competitive Analysis
Analyze trends, saturation, and competitor presence across 13 states in Lithuania to uncover underserved areas and high-potential markets for Cleaners.
Lead Generation & Sales Prospecting
Find and reach Cleaners in Lithuania using verified phone numbers, websites, and category filters for smarter, targeted prospecting.
Location Intelligence & Expansion Planning
Plan new Cleaners openings or rollouts using density maps and insights from our 81 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 81 Cleaners for improved sentiment analysis and recommendation systems.
Real Estate & Investment Insights
Evaluate commercial potential in Lithuania by analyzing the distribution of Cleaners across 13 cities and their activity trends.
Email Marketing Campaigns
Run targeted email campaigns to 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 81 Cleaners database to initiate effective conversations and improve call conversion rates.
Direct Mail Marketing
Send promotional materials to Cleaners across Lithuania using accurate mailing addresses for targeted delivery and higher response rates.
Social Media Outreach
Engage 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 Cleaners in specific regions of Lithuania and their popularity metrics.
Local SEO & Digital Services
Optimize marketing strategies for Cleaners by studying GMB listings, ratings, and categories used by top-performing competitors in Lithuania.
Mapping & Navigation Integration
Add Cleaners POI data to your apps for delivery, logistics, or travel using accurate coordinates from 81 verified locations in Lithuania.
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How can I download a list of Cleaners in Lithuania into Excel?
You can download the complete list of 81 Cleaners data as an Excel file, along with geo-coded addresses, phone numbers and open hours by contacting our sales team.