How many Credit unions are in Lithuania?
There are 43 Credit unions in Lithuania as of September, 2025. The highest number of Credit unions of Lithuania are in Vilnius City Municipality and Kaunas City Municipality with 8 businesses and 6 businesses, respectively. Vilnius City Municipality makes up approximately 18.6% of all Credit unions in the Lithuania.
Sample Data
Preview of Credit union businesses in Lithuania
| Business Name | City | Rating | Reviews | Phone | Website | Latitude | Longitude |
|---|---|---|---|---|---|---|---|
|
Kauno regiono kredit...
|
Kaunas
|
★
4.0
|
116
|
(*-3*) 4*9*4* | kaunounija.lt |
**.****
|
**.****
|
|
FAMILY CREDIT UNION
|
Vilnius
|
★
4.0
|
47
|
(*-5) *1* 8*6* | unija.lt |
**.****
|
**.****
|
|
TAUPKASĖ - kredito u...
|
Kaunas
|
★
4.0
|
15
|
(*-3*) 2*0*4* | Not available |
**.****
|
**.****
|
|
Kredito Unija Neris
|
Vilnius
|
★
5.0
|
13
|
(*-5) *7* 7*6* | neriesunija.lt |
**.****
|
**.****
|
|
DELTA Kredito Unija
|
Kaunas
|
★
4.0
|
12
|
(*-6*5) *4*5* | deltaunija.lt |
**.****
|
**.****
|
|
Lietuvos centrinė kr...
|
Kaunas
|
★
4.0
|
8
|
(*-3*) 2*0*8* | lku.lt |
**.****
|
**.****
|
|
Jonavos Žemė
|
Jonava
|
★
4.0
|
8
|
(*-3*9) *0*8* | Not available |
**.****
|
**.****
|
|
Taupa
|
Vilnius
|
★
3.0
|
7
|
(*-5) *7* 7*8* | taupa.lt |
**.****
|
**.****
|
|
Kredito unija Saulėg...
|
Vilnius
|
★
4.0
|
6
|
(*-6*0) *0*7* | Not available |
**.****
|
**.****
|
|
Raseinių kredito uni...
|
Kaunas
|
★
4.0
|
5
|
(*-4*8) *1*6* | raseiniukreditounija... |
**.****
|
**.****
|
Get access to all 33 remaining Credit unions with complete contact information, addresses, and business details.
Get Complete Dataset (43 Businesses)Top States
Highest concentration of Credit unions
| State | Business Count | Percentage |
|---|---|---|
| Vilnius City Municipality |
8
|
18.6%
|
| Kaunas City Municipality |
6
|
14%
|
| Rokiškis District Municipality |
2
|
4.7%
|
| Kaunas District Municipality |
2
|
4.7%
|
| Klaipeda City Municipality |
2
|
4.7%
|
| Akmenė District Municipality |
2
|
4.7%
|
| Kupiškis District Municipality |
2
|
4.7%
|
| Panevėžys City Municipality |
2
|
4.7%
|
| Širvintos District Municipality |
1
|
2.3%
|
| Biržai District Municipality |
1
|
2.3%
|
| Jonava District Municipality |
1
|
2.3%
|
| Kėdainiai District Municipality |
1
|
2.3%
|
| Panevėžys District Municipality |
1
|
2.3%
|
| Telšiai District Municipality |
1
|
2.3%
|
| Utena District Municipality |
1
|
2.3%
|
| Kelmė District Municipality |
1
|
2.3%
|
Top Cities
Cities with most Credit unions
| City | Business Count | Percentage |
|---|---|---|
|
Vilnius
|
8
|
18.6%
|
|
Kaunas
|
6
|
14%
|
|
Kaunas
|
2
|
4.7%
|
|
Klaipėda
|
2
|
4.7%
|
|
Kupiškis
|
2
|
4.7%
|
|
Panevėžys
|
2
|
4.7%
|
|
Akmenė
|
1
|
2.3%
|
|
Naujoji Akmenė
|
1
|
2.3%
|
|
Biržai
|
1
|
2.3%
|
|
Jonava
|
1
|
2.3%
|
|
Tytuvėnai
|
1
|
2.3%
|
|
Šėta
|
1
|
2.3%
|
|
Ramygala
|
1
|
2.3%
|
|
Pandėlys
|
1
|
2.3%
|
|
Rokiškis
|
1
|
2.3%
|
|
Telšiai
|
1
|
2.3%
|
|
Utena
|
1
|
2.3%
|
|
Širvintos
|
1
|
2.3%
|
What Data Do We Provide?
Our dataset for Credit unions in Lithuania is one of the most comprehensive in the industry. As of October, 2025, we have compiled data on 43 verified listings.
Essential Business Details
Complete business name, full address, and operational hours for all 43 Credit unions
Contact Information
Direct phone numbers, email addresses, and website URLs for Credit unions across Lithuania
Customer Engagement Metrics
Average ratings, total review counts, and customer feedback data from Credit unions in Lithuania
Precise Geolocation Data
Exact latitude/longitude coordinates and regional distribution across 16 states in Lithuania
Complete Data Fields for Credit unions in Lithuania:
Each of the 43 Credit unions records includes:
Business Attributes
Common features and services (10+ businesses)
services
amenities
accessibility
business type
How You Can Use Credit unions Data from Lithuania
Our comprehensive dataset of 43 Credit unions 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 Credit unions industry.
Geospatial Analysis & Hotspot Detection
Perform advanced spatial analysis to identify business clusters, service gaps, and market saturation patterns across 16 states in Lithuania using precise coordinate data from 43 Credit unions.
Market Research & Competitive Analysis
Analyze trends, saturation, and competitor presence across 16 states in Lithuania to uncover underserved areas and high-potential markets for Credit unions.
Lead Generation & Sales Prospecting
Find and reach Credit unions in Lithuania using verified phone numbers, websites, and category filters for smarter, targeted prospecting.
Location Intelligence & Expansion Planning
Plan new Credit unions openings or rollouts using density maps and insights from our 43 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 43 Credit unions for improved sentiment analysis and recommendation systems.
Real Estate & Investment Insights
Evaluate commercial potential in Lithuania by analyzing the distribution of Credit unions across 18 cities and their activity trends.
Email Marketing Campaigns
Run targeted email campaigns to Credit unions in Lithuania using verified email addresses for personalized outreach and improved conversion rates.
Cold Calling & Telemarketing
Use up-to-date phone numbers from our 43 Credit unions database to initiate effective conversations and improve call conversion rates.
Direct Mail Marketing
Send promotional materials to Credit unions across Lithuania using accurate mailing addresses for targeted delivery and higher response rates.
Social Media Outreach
Engage Credit unions 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 Credit unions in specific regions of Lithuania and their popularity metrics.
Local SEO & Digital Services
Optimize marketing strategies for Credit unions by studying GMB listings, ratings, and categories used by top-performing competitors in Lithuania.
Mapping & Navigation Integration
Add Credit unions POI data to your apps for delivery, logistics, or travel using accurate coordinates from 43 verified locations in Lithuania.
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How can I download a list of Credit unions in Lithuania into Excel?
You can download the complete list of 43 Credit unions data as an Excel file, along with geo-coded addresses, phone numbers and open hours by contacting our sales team.