1datapipe | Identity Data | 21 Emerging Markets | 1.5B Verified Profiles for KYC, Compliance, and Risk Intelligence
1datapipe
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Verified Data Provider
Verified Data Provider|
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
|
address.latitude
|
address.longitude
|
lifestyle.location.dist
|
lifestyle.location.latitude
|
lifestyle.location.longitude
|
lifestyle.arts
|
lifestyle.arts.museum_and_theater_goers
|
lifestyle.arts.photo_and_video_enthusiasts
|
lifestyle.entertainment
|
lifestyle.entertainment.games_adventure
|
lifestyle.entertainment.games_arcade
|
lifestyle.entertainment.games_board
|
lifestyle.entertainment.games_card
|
lifestyle.entertainment.games_casino
|
lifestyle.entertainment.games_casual
|
lifestyle.entertainment.games_dice
|
lifestyle.entertainment.games_family
|
lifestyle.entertainment.games_music_and_rhythm
|
lifestyle.entertainment.games_puzzle
|
lifestyle.entertainment.games_racing_and_vehicle_simulators
|
lifestyle.entertainment.games_role_playing_games
|
lifestyle.entertainment.games_shooters_and_fps
|
lifestyle.entertainment.games_simulation
|
lifestyle.entertainment.games_sports
|
lifestyle.entertainment.games_strategy
|
lifestyle.entertainment.games_trivia
|
lifestyle.entertainment.games_word
|
lifestyle.food_and_drink
|
lifestyle.food_and_drink.foodies_or_cooking_enthusiasts
|
lifestyle.food_and_drink.restaurant_frequenters
|
lifestyle.health_and_fitness
|
lifestyle.health_and_fitness.fitness_enthusiasts
|
lifestyle.health_and_fitness.gym_goers
|
lifestyle.health_and_fitness.runners_or_joggers
|
lifestyle.interests_and_activities
|
lifestyle.interests_and_activities.country_club_members
|
lifestyle.interests_and_activities.gamers
|
lifestyle.interests_and_activities.movie_goers
|
lifestyle.interests_and_activities.news_readers
|
lifestyle.interests_and_activities.reading_enthusiasts
|
lifestyle.retail
|
lifestyle.retail.beauty_and_health_buyers
|
lifestyle.retail.big_box_retailer_shoppers
|
lifestyle.retail.cpg_buyers
|
lifestyle.retail.consumer_electronics_buyers
|
lifestyle.retail.department_store_value_shoppers
|
lifestyle.retail.fashion_shoppers_or_fashion_followers
|
lifestyle.retail.hotel_visitors
|
lifestyle.retail.sports_and_outdoor_buyers
|
lifestyle.retail.upscale_shoppers
|
lifestyle.retail.young_and_hip_shoppers
|
lifestyle.sports
|
lifestyle.sports.golf_enthusiasts
|
lifestyle.sports.soccer_enthusiasts
|
lifestyle.sports.sports_enthusiasts
|
lifestyle.telecommunication
|
lifestyle.telecommunication.downloaders
|
lifestyle.telecommunication.dual_sim_phone_users
|
lifestyle.travel
|
lifestyle.travel.air_travelers
|
lifestyle.travel.business_travelers
|
lifestyle.travel.leisure_travelers
|
lifestyle.life_stages
|
lifestyle.life_stages.singles
|
lifestyle.life_stages.college_students
|
lifestyle.general_demographics
|
lifestyle.general_demographics.55+
|
lifestyle.general_demographics.male
|
lifestyle.general_demographics.18-24
|
lifestyle.general_demographics.25-34
|
lifestyle.general_demographics.35-44
|
lifestyle.general_demographics.45-54
|
lifestyle.general_demographics.female
|
lifestyle.general_demographics.low_income
|
lifestyle.general_demographics.high_income
|
lifestyle.general_demographics.young_mothers
|
lifestyle.general_demographics.average_income
|
lifestyle.general_demographics.millennial_males
|
lifestyle.general_demographics.families_with_kids
|
lifestyle.general_demographics.millennial_females
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | 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 | 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 | 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 | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxx |
| xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | xxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxx | Xxxxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxx |
| Xxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxx | Xxxxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxx | xxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxx | xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | xxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxx |
| Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxx | Xxxxxx | xxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxx | xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxx | Xxxxx | xxxxx | xxxxxx | xxxxxx | xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxx | xxxxx | xxxxxxxx | xxxxx | Xxxxx | xxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxxx | xxxxxx | xxxxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxx |
| Xxxxx | Xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxx | xxxxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxx | Xxxxxxxx | Xxxxxx | Xxxxx | Xxxxx | xxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | xxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxx |
| Xxxxxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxx | xxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | xxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | xxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxx | xxxxxx | xxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxx | xxxxx | xxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxx | xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxx | xxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxx | Xxxxxxxxx | xxxxxx |
Volume
1.5B
Records
Data Quality
98%
ID NUMBER
Avail. Format
.csv
File
Coverage
21
Countries
History
12
months
Data Dictionary
[Sample] 1datapipe Li Geo Sample 10 Mx
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
national_id
|
Integer | 2892932127 | |
|
id_type
|
String | CURP | |
|
names_1.name
|
String | ||
|
names_1.last_seen
|
DateTime | 2024-12-15T00:00:00+00:00 | |
|
names_2.name
|
String | ||
|
names_2.last_seen
|
DateTime | 2024-11-15T00:00:00+00:00 | |
|
names_3.name
|
String | ||
|
names_3.last_seen
|
DateTime | 2024-01-15T00:00:00+00:00 | |
|
gender
|
String | ||
|
dob
|
DateTime | 1946-07-07T00:00:00+00:00 | |
|
addresses_1.address
|
String | Peatonal Querétaro 770 Edif. 792 , Depto. 787 San Gerardo... | |
|
addresses_1.postcode
|
Integer | 66181 | |
|
addresses_1.last_seen
|
DateTime | 2024-06-15T00:00:00+00:00 | |
|
addresses_2.address
|
String | Circuito Sur Montaño 294 257 Nueva Liechtenstein, MICH 04038 | |
|
addresses_2.postcode
|
Float | 4038.0 | |
|
addresses_2.last_seen
|
DateTime | 2024-04-15T00:00:00+00:00 | |
|
addresses_3.address
|
String | Avenida Djibouti 108 Edif. 731 , Depto. 871 Nueva Jordani... | |
|
addresses_3.postcode
|
Float | 597.0 | |
|
addresses_3.last_seen
|
DateTime | 2024-01-15T00:00:00+00:00 | |
|
phones_1.phone
|
Integer | 1547194163163783 | |
|
phones_1.type
|
String | MOBILE | |
|
phones_1.last_seen
|
DateTime | 2024-12-15T00:00:00+00:00 | |
|
phones_2.phone
|
Integer | 3862934058 | |
|
phones_2.type
|
String | HOME | |
|
phones_2.last_seen
|
DateTime | 2024-01-15T00:00:00+00:00 | |
|
phones_3.phone
|
String | ||
|
phones_3.type
|
String | ||
|
phones_3.last_seen
|
String | ||
|
emails_1.name
|
String | ||
|
emails_1.last_seen
|
DateTime | 2024-11-15T00:00:00+00:00 | |
|
emails_2.name
|
String | ||
|
emails_2.last_seen
|
DateTime | 2024-01-15T00:00:00+00:00 | |
|
emails_3.name
|
String | ||
|
emails_3.last_seen
|
String | ||
|
address.latitude
|
Float | 44.106945 | |
|
address.longitude
|
Float | 114.758598 | |
|
lifestyle.location.dist
|
Float | 70.05 | |
|
lifestyle.location.latitude
|
Float | 44.107 | |
|
lifestyle.location.longitude
|
Float | 114.759 | |
|
lifestyle.arts
|
Float | 0.6 | |
|
lifestyle.arts.museum_and_theater_goers
|
Float | 0.45 | |
|
lifestyle.arts.photo_and_video_enthusiasts
|
Float | 0.36 | |
|
lifestyle.entertainment
|
Float | 0.13 | |
|
lifestyle.entertainment.games_adventure
|
Float | 0.23 | |
|
lifestyle.entertainment.games_arcade
|
Float | 0.32 | |
|
lifestyle.entertainment.games_board
|
Float | 0.41 | |
|
lifestyle.entertainment.games_card
|
Float | 0.59 | |
|
lifestyle.entertainment.games_casino
|
Float | 0.13 | |
|
lifestyle.entertainment.games_casual
|
Float | 0.71 | |
|
lifestyle.entertainment.games_dice
|
Float | 0.54 | |
|
lifestyle.entertainment.games_family
|
Float | 0.97 | |
|
lifestyle.entertainment.games_music_and_rhythm
|
Float | 0.9 | |
|
lifestyle.entertainment.games_puzzle
|
Float | 0.16 | |
|
lifestyle.entertainment.games_racing_and_vehicle_simulators
|
Float | 0.69 | |
|
lifestyle.entertainment.games_role_playing_games
|
Float | 0.35 | |
|
lifestyle.entertainment.games_shooters_and_fps
|
Float | 0.65 | |
|
lifestyle.entertainment.games_simulation
|
Float | 0.81 | |
|
lifestyle.entertainment.games_sports
|
Float | 0.3 | |
|
lifestyle.entertainment.games_strategy
|
Float | 0.17 | |
|
lifestyle.entertainment.games_trivia
|
Float | 0.39 | |
|
lifestyle.entertainment.games_word
|
Float | 0.19 | |
|
lifestyle.food_and_drink
|
Float | 0.94 | |
|
lifestyle.food_and_drink.foodies_or_cooking_enthusiasts
|
Float | 0.7 | |
|
lifestyle.food_and_drink.restaurant_frequenters
|
Float | 0.86 | |
|
lifestyle.health_and_fitness
|
Float | 0.67 | |
|
lifestyle.health_and_fitness.fitness_enthusiasts
|
Float | 0.88 | |
|
lifestyle.health_and_fitness.gym_goers
|
Float | 0.52 | |
|
lifestyle.health_and_fitness.runners_or_joggers
|
Float | 0.61 | |
|
lifestyle.interests_and_activities
|
Float | 0.57 | |
|
lifestyle.interests_and_activities.country_club_members
|
Float | 0.33 | |
|
lifestyle.interests_and_activities.gamers
|
Float | 0.64 | |
|
lifestyle.interests_and_activities.movie_goers
|
Float | 0.01 | |
|
lifestyle.interests_and_activities.news_readers
|
Float | 0.75 | |
|
lifestyle.interests_and_activities.reading_enthusiasts
|
Float | 0.77 | |
|
lifestyle.retail
|
Float | 0.61 | |
|
lifestyle.retail.beauty_and_health_buyers
|
Float | 0.36 | |
|
lifestyle.retail.big_box_retailer_shoppers
|
Float | 0.75 | |
|
lifestyle.retail.cpg_buyers
|
Float | 0.43 | |
|
lifestyle.retail.consumer_electronics_buyers
|
Float | 0.99 | |
|
lifestyle.retail.department_store_value_shoppers
|
Float | 0.26 | |
|
lifestyle.retail.fashion_shoppers_or_fashion_followers
|
Float | 0.83 | |
|
lifestyle.retail.hotel_visitors
|
Float | 0.45 | |
|
lifestyle.retail.sports_and_outdoor_buyers
|
Float | 0.43 | |
|
lifestyle.retail.upscale_shoppers
|
Float | 0.94 | |
|
lifestyle.retail.young_and_hip_shoppers
|
Float | 0.41 | |
|
lifestyle.sports
|
Float | 0.56 | |
|
lifestyle.sports.golf_enthusiasts
|
Float | 0.06 | |
|
lifestyle.sports.soccer_enthusiasts
|
Float | 0.29 | |
|
lifestyle.sports.sports_enthusiasts
|
Float | 0.97 | |
|
lifestyle.telecommunication
|
Float | 0.21 | |
|
lifestyle.telecommunication.downloaders
|
Float | 0.21 | |
|
lifestyle.telecommunication.dual_sim_phone_users
|
Float | 0.19 | |
|
lifestyle.travel
|
Float | 0.64 | |
|
lifestyle.travel.air_travelers
|
Float | 0.22 | |
|
lifestyle.travel.business_travelers
|
Float | 0.0 | |
|
lifestyle.travel.leisure_travelers
|
Float | 0.26 | |
|
lifestyle.life_stages
|
Float | 0.04 | |
|
lifestyle.life_stages.singles
|
Float | 0.64 | |
|
lifestyle.life_stages.college_students
|
Float | 0.45 | |
|
lifestyle.general_demographics
|
Float | 0.03 | |
|
lifestyle.general_demographics.55+
|
Float | 0.4 | |
|
lifestyle.general_demographics.male
|
Float | 0.41 | |
|
lifestyle.general_demographics.18-24
|
Float | 0.33 | |
|
lifestyle.general_demographics.25-34
|
Float | 0.96 | |
|
lifestyle.general_demographics.35-44
|
Float | 0.58 | |
|
lifestyle.general_demographics.45-54
|
Float | 0.81 | |
|
lifestyle.general_demographics.female
|
Float | 0.76 | |
|
lifestyle.general_demographics.low_income
|
Float | 0.11 | |
|
lifestyle.general_demographics.high_income
|
Float | 0.97 | |
|
lifestyle.general_demographics.young_mothers
|
Float | 0.07 | |
|
lifestyle.general_demographics.average_income
|
Float | 0.32 | |
|
lifestyle.general_demographics.millennial_males
|
Float | 0.06 | |
|
lifestyle.general_demographics.families_with_kids
|
Float | 0.69 | |
|
lifestyle.general_demographics.millennial_females
|
Float | 0.76 |
Description
1.5B verified identity profiles across 21 emerging markets for KYC, onboarding, fraud prevention, and compliance. Updated monthly and privacy-compliant.
Living Identity™ provides access to 1.5B verified identity profiles across 21 emerging markets including Brazil, Egypt, Indonesia, Nigeria, and Vietnam. Structured, AI-ready, and privacy-first, this dataset includes full name, national ID (where available), date of birth, address, phone, and email. Profiles are validated through government, telco, commercial, and behavioral sources, delivering unmatched accuracy for onboarding, compliance, and fraud prevention.
➤ Optimized For:
・Real-time KYC and digital onboarding
・Identity resolution and consumer record matching
・Compliance screening and regulatory reporting
・Fraud prevention and risk intelligence
・Data enrichment for marketing and financial services
➤ Designed For:
Financial Institutions & Credit Bureaus
Strengthen onboarding, credit modeling, and identity verification with population-scale data.
Fintechs & Payment Companies
Unlock thin-file scoring, fraud detection, and KYC automation in underserved markets.
Fraud & Compliance Teams
Prevent account takeovers and streamline AML/KYC workflows with cross-verified records.
Identity & Risk Intelligence Providers
Deliver scalable, trusted resolution and enrichment signals for high-risk regions.
Marketing & Data Enrichment Firms
Enhance consumer profiles for segmentation and omnichannel engagement in emerging markets.
➤ Key Features:
・1.5B verified identity profiles
・21 emerging markets across LATAM, Africa, MENA, and Asia
・Updated monthly, hosted on-premise, privacy-first architecture
・Core fields: full name, national ID, DOB, address, phone, email
・Compliant with GDPR, LGPD, PDPA, and local data laws
Delivered by 1datapipe®, the global leader in structured identity and lifestyle intelligence.
Pricing and samples available upon request.
Country Coverage
Africa
(6)
Cameroon
Egypt
Kenya
Morocco
Nigeria
South Africa
Asia
(12)
Bangladesh
Indonesia
Malaysia
Myanmar
Pakistan
Philippines
Qatar
Saudi Arabia
Thailand
Turkey
United Arab Emirates
Vietnam
North America
(1)
Mexico
South America
(2)
Brazil
Ecuador
History
12 months of historical data
Volume
| 1.5 billion | Records |
Pricing
1datapipe has not published pricing information for this product yet.
You can request detailed pricing information below.
Suitable Company Sizes
Small Business
Medium-sized Business
Enterprise
Quality
Self-reported by the provider
ID NUMBER
NAME
GENDER
DOB
ADDRESS
Delivery
Methods
SFTP
REST API
Frequency
monthly
Format
.csv
Use Cases
Categories
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Frequently asked questions
What is 1datapipe Identity Data 21 Emerging Markets 1.5B Verified Profiles for KYC, Compliance, and Risk Intelligence?
1.5B verified identity profiles across 21 emerging markets for KYC, onboarding, fraud prevention, and compliance. Updated monthly and privacy-compliant.
What is 1datapipe Identity Data 21 Emerging Markets 1.5B Verified Profiles for KYC, Compliance, and Risk Intelligence 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 Identity Graph Data from 1datapipe to fuel their analytics and enrichment.
Who can use 1datapipe Identity Data 21 Emerging Markets 1.5B Verified Profiles for KYC, Compliance, and Risk Intelligence?
This product is best suited if you’re a Enterprise looking for Identity Graph 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 21 Emerging Markets 1.5B Verified Profiles for KYC, Compliance, and Risk Intelligence go?
This product has 12 months of historical coverage. It can be delivered on a monthly basis.
Which countries does 1datapipe Identity Data 21 Emerging Markets 1.5B Verified Profiles for KYC, Compliance, and Risk Intelligence cover?
This product includes data covering 21 countries like Brazil, Mexico, Indonesia, Turkey, and Saudi Arabia. 1datapipe is headquartered in United States of America.
How much does 1datapipe Identity Data 21 Emerging Markets 1.5B Verified Profiles for KYC, Compliance, and Risk Intelligence cost?
Pricing information for 1datapipe Identity Data 21 Emerging Markets 1.5B Verified Profiles for KYC, Compliance, and Risk Intelligence 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 21 Emerging Markets 1.5B Verified Profiles for KYC, Compliance, and Risk Intelligence?
Businesses can buy Identity Graph 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 21 Emerging Markets 1.5B Verified Profiles for KYC, Compliance, and Risk Intelligence?
1datapipe has reported that this product has the following quality and accuracy assurances: 98% ID NUMBER, 81% ADDRESS, 80% GENDER. You can compare and assess the data quality of 1datapipe using Datarade’s data marketplace.
What are similar products to 1datapipe Identity Data 21 Emerging Markets 1.5B Verified Profiles for KYC, Compliance, and Risk Intelligence?
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, Consumer Behavior Data B2C Individual Consumer US 300 Million Records Identity Graph, Linkage, Modeling, AI, Propecting, Audience, and Factori Identity Data One Billion+ Identity Linkages, Validation and resolution Data . You can compare the best Identity Graph Data providers and products via Datarade’s data marketplace and get the right data for your use case.
1datapipe
The Identity Data Moat: Exclusive. Verified. Privacy First
Verified Provider
100%
Response rate
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