
1datapipe | Identity Data | 21 Emerging Markets | 1.5B Verified Profiles for KYC, Compliance, and Risk Intelligence
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 |
Data Dictionary
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
Country Coverage
History
Volume
1.5 billion | Records |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products

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

Factori Identity Data | One Billion+ Identity Linkages, Validation and resolution Data|

Alesco Email Database - Email Address Data - 2.3+ Billion US email records - available acquisition marketing and identify resolution!
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.