Indonesia Point of Interest (POI) Data | 19M+ Places | Site Selection | Retail | Market Analysis | Investment
# | 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 |
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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 |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
String | 016b9752-b75a-4b96-afa2-a1dfc28e01b5 | POI ID | |
parent_location
|
String | ||
String | Oorange - Pusat Inkubator Bisnis dan kewirausahaanUNPAD | POI Name | |
String | professional_services | POI Category | |
String | licensed_professional | POI Sub-category | |
String | POI Sub-category | ||
String | business_management_consultant | Product Category | |
Float | 541911 | Company NAICS Code | |
Float | 0279 | 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 | Address | ||
String | Address | ||
h3_index
|
String | 8f8c16b6db20b52 | |
String | Citarum, Bandung Wetan | Neighborhood Name | |
String | Bandung | City Name | |
String | Jawa Barat | State Name | |
String | 40115 | Postal Code | |
String | id | Country Code Alpha-2 | |
String | Indonesia | Country Name | |
Float | -6.90409557 | Latitude | |
Float | 107.6173912 | Longitude | |
dataplor_status
|
String | active | |
data_quality_confidence_score
|
String | 0.9328964463 | |
open_closed_status
|
String | open | |
open_closed_status_confidence_score
|
Float | 0.298 | |
opened_on
|
String | 2016-03-26T00:00:00+00:00 | |
closed_on
|
String | ||
String | https://pib.unpad.ac.id/ | 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 | POI Opening Hours | ||
String | POI Opening Hours | ||
String | POI Opening Hours | ||
String | POI Opening Hours |
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
Country Coverage
History
Volume
19 million | Business Records |
Pricing
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
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Indonesia Point of Interest (POI) Data 19M+ Places Site Selection Retail Market Analysis Investment?
dataplor’s Indonesia POI dataset covers 19M+ businesses & services across the country, making it the most comprehensive location and business intelligence dataset available for Indonesia. dataplor’s datasets are particularly valued for refreshing weekly.
What is Indonesia Point of Interest (POI) Data 19M+ Places Site Selection Retail Market Analysis Investment 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 Indonesia Point of Interest (POI) Data 19M+ Places Site Selection Retail Market Analysis Investment?
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 Indonesia Point of Interest (POI) Data 19M+ Places Site Selection Retail Market Analysis Investment 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 Indonesia Point of Interest (POI) Data 19M+ Places Site Selection Retail Market Analysis Investment cover?
This product includes data covering 1 country like Indonesia. dataplor is headquartered in United States of America.
How much does Indonesia Point of Interest (POI) Data 19M+ Places Site Selection Retail Market Analysis Investment cost?
Pricing for Indonesia Point of Interest (POI) Data 19M+ Places Site Selection Retail Market Analysis Investment 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 Indonesia Point of Interest (POI) Data 19M+ Places Site Selection Retail Market Analysis Investment?
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 Indonesia Point of Interest (POI) Data 19M+ Places Site Selection Retail Market Analysis Investment?
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 Indonesia Point of Interest (POI) Data 19M+ Places Site Selection Retail Market Analysis Investment?
This Tabular Data has 3 related products. These alternatives include Poland Point of Interest (POI) Data 5.3M+ Places and Businesses Site Selection GIS Market Analysis Retail, GapMaps Premium Point of Interest (POI) Data Indonesia 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.