How many Women's clothing stores are in Lithuania?
There are 358 Women's clothing stores in 10 states and territories of the Lithuania. The highest number of Women's clothing stores of Lithuania are in Vilnius City Municipality and Kaunas City Municipality with 125 businesses and 59 businesses, respectively. Vilnius City Municipality makes up approximately 34.9% of all Women's clothing stores in the Lithuania.
Data last updated: July, 2025
Total Businesses
358
With Phone
304
With Website
264
With Hours
219
How can I download a list of Women's clothing stores in Lithuania into Excel?
You can download the complete list of 358 Women's clothing stores data as an Excel file, along with geo-coded addresses, phone numbers and open hours by contacting our sales team.
Sample Data
Preview of Women's clothing store businesses in Lithuania
| Business Name | City | Rating | Reviews | Phone | Website |
|---|---|---|---|---|---|
|
Artodelfas
|
Vilkaviškis
|
★
4.0
|
452
|
(*-6*4) *8*7* | sportsman.lt |
|
Reserved
|
Vilnius
|
★
4.0
|
350
|
(*-6*6) *0*0* | reserved.com |
|
New Yorker
|
Vilnius
|
★
4.0
|
320
|
(*-5) *1* 1*3* | newyorker.de |
|
Cosmos Shop
|
Vilnius
|
★
4.0
|
311
|
Not available | cosmos-shop.lt |
|
Do perfect
|
Šiauliai
|
★
5.0
|
276
|
Not available | m.facebook.com |
|
Reserved
|
Klaipėda
|
★
4.0
|
260
|
(*-6*2) *6*5* | reserved.com |
|
Sizeer
|
Kaunas
|
★
4.0
|
227
|
(*-6*1) *4*6* | sizeer.lt |
|
Textilite
|
Ukmergė
|
★
4.0
|
212
|
(*-6*8) *5*5* | Not available |
|
New Yorker
|
Kaunas
|
★
4.0
|
188
|
(*-3*) 2*4*1* | newyorker.de |
|
Reserved
|
Kaunas
|
★
4.0
|
165
|
(*-6*1) *2*5* | reserved.com |
Get access to all 348 remaining Women's clothing stores with complete contact information, addresses, and business details.
Get Complete Dataset (358 Businesses)Top States
Highest concentration of Women's clothing stores
| State | Business Count | Percentage |
|---|---|---|
| Vilnius City Municipality |
125
|
34.9%
|
| Kaunas City Municipality |
59
|
16.5%
|
| Klaipeda City Municipality |
33
|
9.2%
|
| Šiauliai City Municipality |
26
|
7.3%
|
| Panevėžys City Municipality |
8
|
2.2%
|
| Telšiai District Municipality |
6
|
1.7%
|
| Druskininkai Municipality |
5
|
1.4%
|
| Palanga City Municipality |
4
|
1.1%
|
| Marijampolė Municipality |
4
|
1.1%
|
| Klaipėda District Municipality |
3
|
0.8%
|
Top Cities
Cities with most Women's clothing stores
| City | Business Count | Percentage |
|---|---|---|
|
Vilnius
|
123
|
34.4%
|
|
Kaunas
|
59
|
16.5%
|
|
Klaipėda
|
33
|
9.2%
|
|
Šiauliai
|
26
|
7.3%
|
|
Panevėžys
|
7
|
2%
|
|
Druskininkai
|
5
|
1.4%
|
|
Telšiai
|
5
|
1.4%
|
|
Marijampolė
|
4
|
1.1%
|
|
Palanga
|
4
|
1.1%
|
|
Utena
|
3
|
0.8%
|
What Data Do We Provide?
Our dataset for Women's clothing stores in Lithuania is one of the most comprehensive in the industry. As of August, 2025, we have compiled data on 358 verified listings.
Essential Business Details
Complete business name, full address, and operational hours for all 358 Women's clothing stores
Contact Information
Direct phone numbers, email addresses, and website URLs for Women's clothing stores across Lithuania
Customer Engagement Metrics
Average ratings, total review counts, and customer feedback data from Women's clothing stores in Lithuania
Precise Geolocation Data
Exact latitude/longitude coordinates and regional distribution across 10 states in Lithuania
Complete Data Fields for Women's clothing stores in Lithuania:
Each of the 358 Women's clothing stores records includes:
Business Attributes
Common features and services (10+ businesses)
payment methods
services
amenities
accessibility
business type
other
How You Can Use Women's clothing stores Data from Lithuania
Our comprehensive dataset of 358 Women's clothing stores 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 Women's clothing stores 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 Women's clothing stores.
Lead Generation & Sales Prospecting
Find and reach Women's clothing stores in Lithuania using verified phone numbers, websites, and category filters for smarter, targeted prospecting.
Location Intelligence & Expansion Planning
Plan new Women's clothing stores openings or rollouts using density maps and insights from our 358 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 358 Women's clothing stores for improved sentiment analysis and recommendation systems.
Real Estate & Investment Insights
Evaluate commercial potential in Lithuania by analyzing the distribution of Women's clothing stores across 10 cities and their activity trends.
Email Marketing Campaigns
Run targeted email campaigns to Women's clothing stores in Lithuania using verified email addresses for personalized outreach and improved conversion rates.
Cold Calling & Telemarketing
Use up-to-date phone numbers from our 358 Women's clothing stores database to initiate effective conversations and improve call conversion rates.
Direct Mail Marketing
Send promotional materials to Women's clothing stores across Lithuania using accurate mailing addresses for targeted delivery and higher response rates.
Social Media Outreach
Engage Women's clothing stores 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 Women's clothing stores in specific regions of Lithuania and their popularity metrics.
Local SEO & Digital Services
Optimize marketing strategies for Women's clothing stores by studying GMB listings, ratings, and categories used by top-performing competitors in Lithuania.
Mapping & Navigation Integration
Add Women's clothing stores POI data to your apps for delivery, logistics, or travel using accurate coordinates from 358 verified locations in Lithuania.
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