Identity Data | 21 Emerging Markets | 1.5 Billion Dataset | Verified Profiles | KYC & Compliance Intelligence
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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] Li Geo Sample 10 Mx
| 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
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.
Living Identity™: Verified Identity Intelligence Across 21 Emerging Markets
Living Identity™ delivers access to 1.5 billion real-world, verified consumer profiles across 21 key emerging markets. Designed for companies demanding high-accuracy identity data for KYC, compliance, fraud prevention, and customer enrichment, this structured, regulatory-compliant database offers unparalleled global coverage and precision.
Key Features:
• Volume: 1,500,000,000 records
• Geographic Reach: 21 emerging market countries
• Historical Span: 12 months of continuous data
• Core Attributes: Full name, national ID (where available), date of birth, address, phone, email
• Data Delivery: Fully on-premise, frequent updates, privacy-first compliance
What’s Inside:
Each profile is validated through multi-source verification processes, including government records, telco data, commercial sources, and cross-referenced social and behavioral signals. This ensures unmatched depth and reliability for real-world identity applications.
Primary Use Cases:
• Real-Time KYC (Know Your Customer) and Digital Onboarding
• Identity Resolution and Consumer Record Matching
• Compliance Screening and Regulatory Reporting
• Fraud Prevention and Risk Intelligence
• Consumer Data Enrichment for Financial Services and E-commerce
Ideal For:
• Financial Institutions (banks, neobanks, credit bureaus)
• Fintechs and Payment Companies
• Identity Verification Providers
• Compliance, Risk, and Fraud Analytics Teams
• Data Enrichment and Marketing Analytics Firms
Data Quality and Compliance:
Living Identity™ is fully aligned with GDPR, LGPD, PDPA, and local data protection laws. It is securely hosted on-premise, with strict OneTrust framework compliance ensuring ethical sourcing, storage, and usage.
Pricing and additional 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
Frequency
monthly
Format
.csv
Use Cases
Categories
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Frequently asked questions
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 Identity Linkage Data MAID to HEM and FLIP Global. 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.
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The Identity Data Moat: Exclusive. Verified. Privacy First
Verified Provider
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