Global Politically Exposed Persons (PEP) Dataset
# | Sr No. |
entity_id |
listing_country |
authority |
list_name |
entity_type |
entity_name |
entity_aliases |
effective_date |
expiry_date |
entity_notes |
citation_link |
address |
country |
nationality_country |
citizenship_country |
dob |
pob |
call_sign |
vessel_type |
vessel_flag |
vessel_owner |
gross_tonnage |
gross_registered_tonnage |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
2 | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx |
3 | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx |
4 | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx |
5 | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx |
6 | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx |
7 | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
8 | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx |
9 | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx |
10 | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx |
... | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
Sr No.
|
Integer | 0 | |
entity_id
|
String | VMM2240BaORtkx7xfUJH | |
listing_country
|
String | United States | |
authority
|
String | DOT - Department of Treasury | |
list_name
|
String | Specially Designated Nationals List | |
entity_type
|
String | Vessel | |
entity_name
|
String | AKADEMIK CHERSKIY | |
entity_aliases
|
String | ['AKADEMIK CHERSKY', 'AKADEMIK CZERSKY'] | |
effective_date
|
DateTime | 2024-02-24T00:00:00+00:00 | |
expiry_date
|
|||
entity_notes
|
String | Program Tag: ['PEESA-EO14039']; Remarks: (Linked To: SAMA... | |
citation_link
|
String | https://storage.googleapis.com/trademo-rps-bucket/US-OFAC... | |
address
|
|||
country
|
|||
nationality_country
|
|||
citizenship_country
|
|||
dob
|
|||
pob
|
|||
call_sign
|
String | UDQB | |
vessel_type
|
String | Pipe-laying Vessel | |
vessel_flag
|
String | Russia | |
vessel_owner
|
|||
gross_tonnage
|
|||
gross_registered_tonnage
|
Description
Country Coverage
History
Volume
180 | PEP Lists Monitored |
Pricing
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Global Politically Exposed Persons (PEP) Dataset?
Global Politically Exposed Persons (PEP) dataset offers details on individuals listed on international PEP lists by official authorities. Businesses can use it to identify PEPs, their relatives, and close associates (RCAs) to assess if partners are high-risk for bribery, laundering, or corruption.
What is Global Politically Exposed Persons (PEP) Dataset used for?
This product has 5 key use cases. Trademo recommends using the data for Risk Management, Due Diligence, Customer Acquisition, Risk Mitigation, and Know Your Customer (KYC). Global businesses and organizations buy Political Risk Data from Trademo to fuel their analytics and enrichment.
Who can use Global Politically Exposed Persons (PEP) Dataset?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Political Risk Data. Get in touch with Trademo to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Global Politically Exposed Persons (PEP) Dataset go?
This product has 13 years of historical coverage. It can be delivered on a daily, weekly, and monthly basis.
Which countries does Global Politically Exposed Persons (PEP) Dataset cover?
This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Trademo is headquartered in United States of America.
How much does Global Politically Exposed Persons (PEP) Dataset cost?
Pricing information for Global Politically Exposed Persons (PEP) Dataset is available by getting in contact with Trademo. Connect with Trademo to get a quote and arrange custom pricing models based on your data requirements.
How can I get Global Politically Exposed Persons (PEP) Dataset?
Businesses can buy Political Risk Data from Trademo and get the data via S3 Bucket, SFTP, REST API, and Feed API. Depending on your data requirements and subscription budget, Trademo can deliver this product in .json, .csv, and .xls format.
What is the data quality of Global Politically Exposed Persons (PEP) Dataset?
You can compare and assess the data quality of Trademo using Datarade’s data marketplace.
What are similar products to Global Politically Exposed Persons (PEP) Dataset?
This product has 3 related products. These alternatives include Bright Data Politically Exposed Persons List, Opoint Compliance Web Data Global Risk Data 235K+ Sources / 3M+ Articles Daily / 185 Languages / 220 Jurisdictions Point-in-time, and Biodiversity Proximity Risk Data Nature ESG Data 14000+ companies IBAT Partnership GIST Impact. You can compare the best Political Risk Data providers and products via Datarade’s data marketplace and get the right data for your use case.