
1datapipe | Identity Data | Africa | 133M Verified Profiles Across 4 Countries for KYC and Risk Intelligence 1datapipe
national_id
|
id_type
|
names_1.name
|
names_1.last_seen
|
names_2.name
|
names_2.last_seen
|
names_3.name
|
names_3.last_seen
|
gender
|
dob
|
addresses_1.address
|
addresses_1.postcode
|
addresses_1.last_seen
|
addresses_2.address
|
addresses_2.postcode
|
addresses_2.last_seen
|
addresses_3.address
|
addresses_3.postcode
|
addresses_3.last_seen
|
phones_1.phone
|
phones_1.type
|
phones_1.last_seen
|
phones_2.phone
|
phones_2.type
|
phones_2.last_seen
|
phones_3.phone
|
phones_3.type
|
phones_3.last_seen
|
emails_1.name
|
emails_1.last_seen
|
emails_2.name
|
emails_2.last_seen
|
emails_3.name
|
emails_3.last_seen
|
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | 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 | 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 | 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 | 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 | 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 | 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 | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
national_id
|
Integer | 2892932127 | |
id_type
|
String | ID | |
names_1.name
|
String | ||
names_1.last_seen
|
String | 12/15/2024 | |
names_2.name
|
String | ||
names_2.last_seen
|
String | 11/15/2024 | |
names_3.name
|
String | ||
names_3.last_seen
|
String | 1/15/2024 | |
gender
|
String | ||
dob
|
String | 7/11/1946 | |
addresses_1.address
|
String | 81 High Umgwaqo Bloemfontein, iMpumalanga 3518 | |
addresses_1.postcode
|
Integer | 3518 | |
addresses_1.last_seen
|
String | 6/15/2024 | |
addresses_2.address
|
String | 506 President Indlela Bloemfontein, iMpumalanga 7270 | |
addresses_2.postcode
|
Integer | 7270 | |
addresses_2.last_seen
|
String | 4/15/2024 | |
addresses_3.address
|
String | 3721 Jan Smuts Umgwaqo Mbombela, iMpumalanga 6000 | |
addresses_3.postcode
|
Integer | 6000 | |
addresses_3.last_seen
|
String | 1/15/2024 | |
phones_1.phone
|
Float | 65937700000000.0 | |
phones_1.type
|
String | HOME | |
phones_1.last_seen
|
String | 12/15/2024 | |
phones_2.phone
|
Float | 1.626461817643512e+15 | |
phones_2.type
|
String | HOME | |
phones_2.last_seen
|
String | 11/15/2024 | |
phones_3.phone
|
Float | 175761163040381.0 | |
phones_3.type
|
String | HOME | |
phones_3.last_seen
|
String | 1/15/2024 | |
emails_1.name
|
String | ||
emails_1.last_seen
|
String | 11/15/2024 | |
emails_2.name
|
String | ||
emails_2.last_seen
|
String | 9/15/2024 | |
emails_3.name
|
String | ||
emails_3.last_seen
|
String | 1/15/2024 |
Description
Country Coverage
History
Volume
133 million | Records |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
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Frequently asked questions
What is 1datapipe Identity Data Africa 133M Verified Profiles Across 4 Countries for KYC and Risk Intelligence 1datapipe?
Access 133M verified identity profiles across Africa for KYC, fraud prevention, compliance, and onboarding. Built for real-time risk modeling and resolution.
What is 1datapipe Identity Data Africa 133M Verified Profiles Across 4 Countries for KYC and Risk Intelligence 1datapipe used for?
This product has 5 key use cases. 1datapipe recommends using the data for Identity Resolution, Fraud Prevention, Compliance, Know Your Customer (KYC), and Consumer Data Enrichment. Global businesses and organizations buy Consumer Behavior Data from 1datapipe to fuel their analytics and enrichment.
Who can use 1datapipe Identity Data Africa 133M Verified Profiles Across 4 Countries for KYC and Risk Intelligence 1datapipe?
This product is best suited if you’re a Enterprise looking for Consumer Behavior Data. Get in touch with 1datapipe to see what their data can do for your business and find out which integrations they provide.
How far back does the data in 1datapipe Identity Data Africa 133M Verified Profiles Across 4 Countries for KYC and Risk Intelligence 1datapipe go?
This product has 12 months of historical coverage. It can be delivered on a monthly basis.
Which countries does 1datapipe Identity Data Africa 133M Verified Profiles Across 4 Countries for KYC and Risk Intelligence 1datapipe cover?
This product includes data covering 4 countries like Nigeria, South Africa, Kenya, and Cameroon. 1datapipe is headquartered in United States of America.
How much does 1datapipe Identity Data Africa 133M Verified Profiles Across 4 Countries for KYC and Risk Intelligence 1datapipe cost?
Pricing information for 1datapipe Identity Data Africa 133M Verified Profiles Across 4 Countries for KYC and Risk Intelligence 1datapipe is available by getting in contact with 1datapipe. Connect with 1datapipe to get a quote and arrange custom pricing models based on your data requirements.
How can I get 1datapipe Identity Data Africa 133M Verified Profiles Across 4 Countries for KYC and Risk Intelligence 1datapipe?
Businesses can buy Consumer Behavior Data from 1datapipe and get the data via SFTP and REST API. Depending on your data requirements and subscription budget, 1datapipe can deliver this product in .csv format.
What is the data quality of 1datapipe Identity Data Africa 133M Verified Profiles Across 4 Countries for KYC and Risk Intelligence 1datapipe?
1datapipe has reported that this product has the following quality and accuracy assurances: 99% ID NUMBER, 99% GENDER, 88% NAME. You can compare and assess the data quality of 1datapipe using Datarade’s data marketplace.
What are similar products to 1datapipe Identity Data Africa 133M Verified Profiles Across 4 Countries for KYC and Risk Intelligence 1datapipe?
This product has 3 related products. These alternatives include 1datapipe Identity Data MENA 182M Verified Profiles Across 5 Countries for KYC, Compliance, and Risk Intelligence 1datapipe, Factori Identity Data One Billion+ Identity Linkages, Validation and resolution Data , and AI & ML Training Data 148MM+ U.S Identities for Model Training Identity Resolution Identity Verification. You can compare the best Consumer Behavior Data providers and products via Datarade’s data marketplace and get the right data for your use case.