
Identity Data | 21 Emerging Markets | 1.5 Billion Dataset | Verified Profiles | KYC & Compliance 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | 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 |
2 | 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 |
3 | 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 |
4 | 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 |
5 | 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 |
6 | 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 |
7 | 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 |
8 | 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 |
9 | 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 |
10 | 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 |
... | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | Xxxxxx | Xxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxx | xxxxxx | xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxx | xxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
national_id
|
Integer | 2892932127 | |
id_type
|
String | CURP | |
names_1.name
|
String | Aurora V. | |
names_1.last_seen
|
DateTime | 2024-12-15T00:00:00+00:00 | |
names_2.name
|
String | Aurora Verduzco | |
names_2.last_seen
|
DateTime | 2024-11-15T00:00:00+00:00 | |
names_3.name
|
String | Aur. Verduzco | |
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 | aurorav@email.com | |
emails_1.last_seen
|
DateTime | 2024-11-15T00:00:00+00:00 | |
emails_2.name
|
String | averduzco@email.com | |
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
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What is Identity Data 21 Emerging Markets 1.5 Billion Dataset Verified Profiles KYC & Compliance Intelligence?
Access 1.5 billion verified identity profiles across 21 emerging markets with Living Identity™. Built for KYC, compliance, fraud prevention, and identity resolution, this high-scale dataset enables real-time consumer verification and data enrichment.
What is Identity Data 21 Emerging Markets 1.5 Billion Dataset Verified Profiles KYC & Compliance 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 Identity Data 21 Emerging Markets 1.5 Billion Dataset Verified Profiles KYC & Compliance 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 Identity Data 21 Emerging Markets 1.5 Billion Dataset Verified Profiles KYC & Compliance Intelligence go?
This product has 12 months of historical coverage. It can be delivered on a monthly basis.
Which countries does Identity Data 21 Emerging Markets 1.5 Billion Dataset Verified Profiles KYC & Compliance 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 Identity Data 21 Emerging Markets 1.5 Billion Dataset Verified Profiles KYC & Compliance Intelligence cost?
Pricing information for Identity Data 21 Emerging Markets 1.5 Billion Dataset Verified Profiles KYC & Compliance 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 Identity Data 21 Emerging Markets 1.5 Billion Dataset Verified Profiles KYC & Compliance Intelligence?
Businesses can buy Identity Graph Data from 1datapipe and get the data via SFTP. Depending on your data requirements and subscription budget, 1datapipe can deliver this product in .csv format.
What is the data quality of Identity Data 21 Emerging Markets 1.5 Billion Dataset Verified Profiles KYC & Compliance 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 Identity Data 21 Emerging Markets 1.5 Billion Dataset Verified Profiles KYC & Compliance Intelligence?
This product has 3 related products. These alternatives include Identity Data MENA MENA 5 Countries 182M Verified Profiles KYC & Risk Intelligence, Consumer Behavior Data B2C Individual Consumer US 300 Million Records Identity Graph, Linkage, Modeling, AI, Propecting, Audience, and Alesco Email Database - Email Address Data - 2.3+ Billion US email records - available acquisition marketing and identify resolution!. 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.