Poland Point of Interest (POI) Data | 5.3M+ Places and Businesses | Site Selection | GIS | Market Analysis | Retail product image in hero

Poland Point of Interest (POI) Data | 5.3M+ Places and Businesses | Site Selection | GIS | Market Analysis | Retail

dataplor
5.0(1)Badge iconVerified Data Provider
#
parent_location
parent_chain_path
chain_uuid_path
store_number
h3_index
dataplor_status
data_quality_confidence_score
open_closed_status
open_closed_status_confidence_score
opened_on
closed_on
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx Xxxxxxxxxx xxxxxx Xxxxx Xxxxxx xxxxx xxxxxxxx xxxxxxx Xxxxx Xxxxxxxx xxxxxxxxxx xxxxxx Xxxxxxxxx xxxxxx Xxxxxxxxx Xxxxxxxxx xxxxxxxxxx Xxxxxx Xxxxx xxxxxx xxxxxxx xxxxxxx Xxxxx xxxxxx Xxxxxxxxxx xxxxxxxx xxxxxx Xxxxx Xxxxxxx xxxxxx Xxxxxxxx
2 Xxxxxxx Xxxxx xxxxxx xxxxxxxxxx Xxxxx xxxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxxxx xxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxx xxxxxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx xxxxx xxxxxxx xxxxxxxxx Xxxxxx Xxxxxxx Xxxxxxxxx xxxxxxxxx xxxxxxxxx Xxxxx xxxxxxxx Xxxxxxx xxxxxxxxx Xxxxxxx xxxxx Xxxxxxx xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxx Xxxxx xxxxxxxxxx Xxxxxx xxxxxx Xxxxxxxxx xxxxx Xxxxxxxxxx xxxxxx xxxxx xxxxxxxx Xxxxxx Xxxxxxxxxx
3 xxxxxxxxx Xxxxxxxxxx xxxxxxxx xxxxx Xxxxxx xxxxxxxxxx xxxxxxxxx xxxxx xxxxx xxxxxxxx xxxxxx Xxxxxxxxxx xxxxxxxxxx Xxxxx xxxxxxx Xxxxxxxx Xxxxxxx xxxxx xxxxxxxx xxxxxxxxxx Xxxxxx xxxxxxxxx Xxxxx xxxxx xxxxxxxxx xxxxxxx Xxxxxxxxx Xxxxxxx xxxxxxxxxx Xxxxx xxxxxxxxx xxxxxxx Xxxxxx xxxxxxxxx xxxxx Xxxxxxx xxxxxxxxx Xxxxxxxx xxxxxxxx Xxxxxxxx Xxxxxxxx xxxxxxxx xxxxxxxxx Xxxxxxx Xxxxxxxxx xxxxxxxx xxxxx Xxxxxxxxxx
4 xxxxxxxxxx xxxxxx Xxxxx Xxxxxxx Xxxxx Xxxxxx Xxxxx Xxxxxxxxx xxxxxx xxxxxxxx Xxxxxxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxx Xxxxxxx xxxxxxxxx Xxxxx xxxxx Xxxxxx xxxxxxxxx xxxxxxx xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxx Xxxxx Xxxxxxxxx xxxxxxxxxx xxxxxx xxxxxxxxx xxxxxxx Xxxxxxx Xxxxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxxx xxxxx Xxxxxxx xxxxxxxxxx Xxxxxxxxx Xxxxxxxx xxxxxxxxxx xxxxxxx Xxxxxxxx xxxxx Xxxxxx xxxxxx
5 xxxxxxxx xxxxxxx Xxxxx Xxxxxxxxx Xxxxx Xxxxxxx Xxxxxxxx xxxxxxxxx xxxxxxxx xxxxx Xxxxxxxxxx Xxxxxxx xxxxxxxxx xxxxxxx xxxxxxxxxx xxxxxx xxxxx Xxxxxxxxxx Xxxxxxxxx xxxxxxx Xxxxxx Xxxxx Xxxxxxxx xxxxxxxxx xxxxxxxx Xxxxxx xxxxxxxxxx xxxxxxxxx xxxxx Xxxxx xxxxxxx xxxxxxxxxx Xxxxxx Xxxxxxxxx xxxxxxx Xxxxxxxx xxxxx xxxxx Xxxxxxxxxx Xxxxxxx Xxxxxxxx Xxxxxxx xxxxx xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxxxxx xxxxxxx
6 Xxxxx xxxxxxxxx xxxxxxxx Xxxxxxxx xxxxxxxx Xxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxx Xxxxxxxxxx Xxxxxxx Xxxxxx Xxxxxxxxxx xxxxxxxxxx xxxxxxxxxx Xxxxxxx Xxxxx Xxxxx Xxxxx Xxxxxxx xxxxx xxxxxxxxx xxxxxxx Xxxxxxx xxxxxx xxxxxxxxxx xxxxxxxxxx Xxxxxxx xxxxxxxxx Xxxxx xxxxxxx Xxxxxx Xxxxx xxxxxxxxxx xxxxxxxxx Xxxxxxxxxx Xxxxxxxxx Xxxxxxxx xxxxxxxxx Xxxxxxx Xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxxxx Xxxxxxx Xxxxxxx xxxxxxxx xxxxx
7 Xxxxx Xxxxxxxx xxxxxxxx Xxxxxxxxx xxxxxxxxxx xxxxxxxxxx xxxxxxxxx xxxxxxxxx Xxxxxxx Xxxxxxx Xxxxxxx Xxxxxxx xxxxxxx Xxxxxxxxxx xxxxxxxx Xxxxx xxxxxxxxxx xxxxxxxxxx xxxxxx xxxxxxxx Xxxxxxxx xxxxxx xxxxxxxx xxxxxx Xxxxxxxx xxxxxxxxx xxxxx Xxxxxxxxxx Xxxxxxxxx Xxxxxxx xxxxxxxx Xxxxxxx Xxxxxxxxxx Xxxxxxxxx xxxxxxxxxx xxxxxxx Xxxxxxxxx xxxxxxxxx xxxxxxxx xxxxxxxxx xxxxx Xxxxx Xxxxxxxx xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxx
8 Xxxxxxxxxx Xxxxxxxxx Xxxxxx xxxxxxxx xxxxxxxxxx xxxxxxxx Xxxxx xxxxxxxx xxxxxxxxxx xxxxxxxx Xxxxx xxxxxxxx xxxxxx Xxxxxxxx xxxxxxxxxx Xxxxxxx xxxxxxxxxx Xxxxxxx Xxxxxxxxx xxxxxx Xxxxx Xxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxx xxxxx Xxxxx Xxxxxxxxxx Xxxxxxx Xxxxxxxxxx Xxxxxxxx xxxxxxx xxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx Xxxxxx Xxxxxx Xxxxxxx xxxxxxxxxx Xxxxxxx Xxxxxxxxxx xxxxx xxxxxxx xxxxxxxxx xxxxxxxxx xxxxxx xxxxxx
9 Xxxxxxxxxx xxxxxxxxxx xxxxxxxxx Xxxxxx xxxxxxxxxx Xxxxxxx xxxxxxxxx xxxxxxx Xxxxxxxx Xxxxxxxx Xxxxxxx xxxxxx xxxxx xxxxx Xxxxxxxxx xxxxx Xxxxx Xxxxxx xxxxxxxxxx Xxxxxxxx Xxxxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxx Xxxxx Xxxxxxxx xxxxxx Xxxxx Xxxxxx xxxxxx xxxxxxxx Xxxxxxxx Xxxxxxxxxx xxxxxxxxxx Xxxxx Xxxxxxx Xxxxxxx Xxxxxx Xxxxxx xxxxxxxx Xxxxxxxxx Xxxxx Xxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxx Xxxxxxxx Xxxxxxxxxx
10 xxxxxx xxxxxxxxxx xxxxxx xxxxxx Xxxxxxxxxx xxxxxxx Xxxxxxxxxx xxxxx Xxxxxxxxx Xxxxxxx Xxxxxxxxx Xxxxx Xxxxxxxx xxxxxxxxx xxxxxxxxxx xxxxx xxxxxxxxxx xxxxxxx xxxxxxxx Xxxxx xxxxx xxxxxx Xxxxxx xxxxxxxxxx xxxxxxxxxx Xxxxxxxxx xxxxxxx Xxxxxxx Xxxxxxxxxx Xxxxxxxx xxxxxx xxxxxx Xxxxxx xxxxxx xxxxx Xxxxxxxxx Xxxxxxxxx Xxxxxx Xxxxx Xxxxxxxxx Xxxxxx Xxxxxx xxxxxx xxxxx xxxxxxx xxxxxxxxxx xxxxxx Xxxxxxx
... Xxxxx xxxxxxxxxx Xxxxx xxxxxxx xxxxxxx Xxxxxxxxxx Xxxxx xxxxxxx Xxxxxxxx Xxxxxx xxxxxxxxxx Xxxxx Xxxxxxx xxxxx xxxxxx xxxxxx Xxxxxxxx xxxxxxx Xxxxxx xxxxxxxxxx Xxxxxxx xxxxxxxxx Xxxxxx xxxxxxxxxx xxxxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxx xxxxxx Xxxxxxxx Xxxxx xxxxx Xxxxxxxxxx xxxxxx xxxxx xxxxxxx xxxxx Xxxxxxx xxxxxxxxxx Xxxxxxx xxxxxxxxxx xxxxxxxxxx xxxxxxx xxxxxxx xxxxxxxxxx Xxxxxxxxxx Xxxxxx
Sign In To Preview Data
Volume
5.3M
Business Records
Avail. Formats
.json and .csv
File
Coverage
1
Country
History
20
years

Data Dictionary

[Sample] dataplor_Poland_POI_Categories_Samples.csv
Attribute Type Example Mapping
String 00bb34cf-be79-42a6-9d7b-871aa671295b POI ID
parent_location
String
String AG - Polska / chemia kosmetyki - hurt detal POI Name
String beauty POI Category
String cosmetics POI Sub-category
String supplies POI Sub-category
String cosmetics_wholesaler Product Category
Float 424210 Company NAICS Code
Float 5122 Company SIC Code
String 12456789 Brand ID
String Coca Cola Brand Name
parent_chain_path
String
chain_uuid_path
String
store_number
String
String AAPL Stock Ticker
String ########### POI Telephone
String *******ó* ##* Address
String # ******** ****, *********, ** #####, *** Address
h3_index
String 8f1e2c32e094b5b
String Tadeuszów Neighborhood Name
String Tadeuszów City Name
String województwo mazowieckie State Name
String 26-670 Postal Code
String pl Country Code Alpha-2
String Poland Country Name
Float 51.44656889 Latitude
Float 21.42890178 Longitude
dataplor_status
String inactive
data_quality_confidence_score
String 0.7737490681
open_closed_status
String permanently closed
open_closed_status_confidence_score
Float 0.75
opened_on
String 2020-03-09T00:00:00+00:00
closed_on
String 2024-03-01T00:00:00+00:00
String http://ag-polska.pl/ Website
String 8:00 POI Opening Hours
String 16:00 POI Opening Hours
String 8:00 POI Opening Hours
String 16:00 POI Opening Hours
String 8:00 POI Opening Hours
String 16:00 POI Opening Hours
String 8:00 POI Opening Hours
String 16:00 POI Opening Hours
String 8:00 POI Opening Hours
String 16:00 POI Opening Hours
String 9:00 POI Opening Hours
String 14:00 POI Opening Hours
String POI Opening Hours
String POI Opening Hours
Product Attributes
Attribute Type Example Mapping
String ******** # Address
String # ******** ****, *********, ** #####, *** Address
String car_dealer Product Category
String ford Company ID
String Ford Company Name
String Zell im Wiesental City Name
closed_on
String
String Germany Country Name
String de Country Code Alpha-2
String e0e6be09-0f30-4f28-a92d-4822c1920f8c POI ID
dataplor_status
String active
data_quality_confidence_score
String 0.982
Float 47.71441 Latitude
Float 7.87391 Longitude
String automotive_services POI Category
Float 441110 Company NAICS Code
String Autohaus Maszurimm POI Name
String Nob Hill Neighborhood Name
opened_on
String 2016-09-05
open_closed_status
String open
open_closed_status_confidence_score
String 0.95
String c4811653-bf26-4fd2-85cf-0c89e28740a8 Placekey
String ############ POI Telephone
String 79669 Postal Code
Float 5511 Company SIC Code
String Baden-Württemberg State Name
String NYSE:F Stock Ticker
String Location ID
String automobile POI Sub-category
String services POI Sub-category

Description

dataplor's Poland POI dataset encompasses over 5.3M+ places and businesses, establishing it as the most extensive source of location intelligence data available for the market. Our datasets are meticulously curated and frequently updated.
dataplor's Poland dataset offers a comprehensive overview of Points-of-Interest (POIs) across the country, serving as an indispensable tool for businesses and organizations seeking to leverage geospatial data to gain insights and make informed market decisions. This rich dataset caters to a diverse range of applications, including: -Logistics and Supply Chain Optimization: Streamline deliveries across Poland's well-developed transportation network, optimize routes between major cities like Warsaw, Kraków, and Łódź, and identify strategic warehouse locations in key industrial hubs. -Economic Development Planning: Identify high-growth potential regions, target investment in emerging industries, and allocate resources effectively based on regional data across Poland's diverse voivodeships. -Retail Site Selection and Market Analysis: Analyze demographics, consumer behavior, and competition to pinpoint ideal locations for new stores in bustling city centers like Warsaw and Wrocław, as well as underserved areas in smaller towns. -Resource Allocation and Investment Opportunities: Direct resources to where they will have the most impact, ensuring equitable distribution across Poland's diverse landscape. Identify untapped investment opportunities in various sectors and regions, leveraging data-driven insights for informed decision-making. -Tourism, Conservation, and Impact Assessment: Enhance tourism experiences by mapping historical sites, cultural attractions, and natural wonders like the Tatra Mountains and Masurian Lakeland. Identify areas for conservation efforts and assess the environmental impact of development projects. -Infrastructure Improvement and Smart City Initiatives: Optimize transportation networks, identify areas for infrastructure development, and plan for modern, sustainable urban development in cities like Warsaw, Gdańsk, and Poznań. -Market Access: Expand market reach by identifying untapped customer bases in emerging cities and rural areas. Identify areas with high potential for finance initiatives, tailoring financial products to meet specific local needs. -Government Services, Healthcare, and Emergency Response: Improve service delivery, optimize emergency response routes, and allocate resources efficiently based on real-time data to enhance public safety and well-being across Poland. -Social Services Delivery and Data-Driven Decision Making: Target social programs effectively, identify areas with high need, and measure the impact of social interventions. Empower decision-makers with accurate, reliable, and granular data for evidence-based policymaking and planning. -Monitoring and Evaluation of Urban Development: Track changes in land use, population density, and infrastructure development over time to inform urban planning and policy decisions for sustainable growth in Polish cities.

Country Coverage

Europe (1)
Poland

History

20 years of historical data

Volume

5.3 million Business Records

Pricing

Free sample available
10% discount if you buy via Datarade
License Starts at
One-off purchase Not available
Monthly License Not available
Yearly License Not available
Usage-based
$0.09$0.08 / record

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
Frequency
weekly
monthly
real-time
on-demand
Format
.json
.csv

Use Cases

Retail
Business Intelligence (BI)
Expansion Strategy Development
Local Economic Forecasting
Location Planning

Categories

Related Searches

Related Products

19M Business Records
Indonesia covered
20 years of historical data
dataplor's Indonesia POI dataset covers 19M+ businesses & services across the country, making it the most comprehensive location and business intelligence da...
240 Brands
90% Accuracy
India covered
GapMaps curates up-to-date and high-quality Point of Interest (POI) data tracking store openings and closures for leading retail brands in India across 15 ca...
11M POI (Points of Interest)
3 countries covered
3 years of historical data
Business listing information about points of interest (POI), such as brand, address, location, lat/log, open-hours, and NAICS category. This high-quality dat...
3.41K records
95% Coverage
2 countries covered
This product consists of point-of-interest data (POI) for all AppleBee's, IHOP, Fuzzy's Taco Shop locations in US and Canada

Frequently asked questions

What is Poland Point of Interest (POI) Data 5.3M+ Places and Businesses Site Selection GIS Market Analysis Retail?

dataplor’s Poland POI dataset encompasses over 5.3M+ places and businesses, establishing it as the most extensive source of location intelligence data available for the market. Our datasets are meticulously curated and frequently updated.

What is Poland Point of Interest (POI) Data 5.3M+ Places and Businesses Site Selection GIS Market Analysis Retail used for?

This product has 5 key use cases. dataplor recommends using the data for Retail, Business Intelligence (BI), Expansion Strategy Development, Local Economic Forecasting, and Location Planning. Global businesses and organizations buy Point of Interest (POI) Data from dataplor to fuel their analytics and enrichment.

Who can use Poland Point of Interest (POI) Data 5.3M+ Places and Businesses Site Selection GIS Market Analysis Retail?

This product is best suited if you’re a Medium-sized Business or Enterprise looking for Point of Interest (POI) Data. Get in touch with dataplor to see what their data can do for your business and find out which integrations they provide.

How far back does the data in Poland Point of Interest (POI) Data 5.3M+ Places and Businesses Site Selection GIS Market Analysis Retail go?

This Tabular Data has 20 years of historical coverage. It can be delivered on a weekly, monthly, real-time, and on-demand basis.

Which countries does Poland Point of Interest (POI) Data 5.3M+ Places and Businesses Site Selection GIS Market Analysis Retail cover?

This product includes data covering 1 country like Poland. dataplor is headquartered in United States of America.

How much does Poland Point of Interest (POI) Data 5.3M+ Places and Businesses Site Selection GIS Market Analysis Retail cost?

Pricing for Poland Point of Interest (POI) Data 5.3M+ Places and Businesses Site Selection GIS Market Analysis Retail starts at USD0.09 per record. dataplor offers a 10% discount when you buy data from them through Datarade. Connect with dataplor to get a quote and arrange custom pricing models based on your data requirements.

How can I get Poland Point of Interest (POI) Data 5.3M+ Places and Businesses Site Selection GIS Market Analysis Retail?

Businesses can buy Point of Interest (POI) Data from dataplor and get the data via S3 Bucket. Depending on your data requirements and subscription budget, dataplor can deliver this product in .json and .csv format.

What is the data quality of Poland Point of Interest (POI) Data 5.3M+ Places and Businesses Site Selection GIS Market Analysis Retail?

You can compare and assess the data quality of dataplor using Datarade’s data marketplace. dataplor has received 1 review from clients.

What are similar products to Poland Point of Interest (POI) Data 5.3M+ Places and Businesses Site Selection GIS Market Analysis Retail?

This Tabular Data has 3 related products. These alternatives include Indonesia Point of Interest (POI) Data 19M+ Places Site Selection Retail Market Analysis Investment, GapMaps Premium Point of Interest (POI) Data India Point of Interest (POI) for Leading Retail Brands Monthly Tracking, and SafeGraph Brand Data Global Coverage 52M+ Places. You can compare the best Point of Interest (POI) Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Starts at
$0.09$0.08 / record
License Starts at
One-off purchase Not available
Monthly License Not available
Yearly License Not available
Usage-based
$0.09$0.08 / record

dataplor

Globally scaled, dynamically updated and human-reviewed accurate location data.

Verified provider icon Verified Provider
4h Avg. response time
100% Response rate

Trusted by

Customer Logo #1 of dataplor
Customer Logo #2 of dataplor
Customer Logo #3 of dataplor