
1datapipe | Identity & Lifestyle Data | LATAM | 379M Verified Profiles for Marketing, KYC, and Consumer Insights
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 |
Attribute | Type | Example | Mapping |
---|---|---|---|
national_id
|
Integer | 24777834015 | |
id_type
|
String | CPF | |
address
|
String | Recanto de Ribeiro, 12 Pastor, SP 21832-051 | |
address.latitude
|
Float | -47.810111 | |
address.longitude
|
Float | 131.60751 | |
lifestyle.location.dist
|
Float | 34.26 | |
lifestyle.location.latitude
|
Float | -47.81 | |
lifestyle.location.longitude
|
Float | 131.608 | |
lifestyle.arts
|
Float | 0.98 | |
lifestyle.arts.museum_and_theater_goers
|
Float | 0.03 | |
lifestyle.arts.photo_and_video_enthusiasts
|
Float | 0.14 | |
lifestyle.entertainment
|
Float | 0.41 | |
lifestyle.entertainment.games_adventure
|
Float | 0.37 | |
lifestyle.entertainment.games_arcade
|
Float | 0.97 | |
lifestyle.entertainment.games_board
|
Float | 0.49 | |
lifestyle.entertainment.games_card
|
Float | 0.4 | |
lifestyle.entertainment.games_casino
|
Float | 0.39 | |
lifestyle.entertainment.games_casual
|
Float | 0.92 | |
lifestyle.entertainment.games_dice
|
Float | 0.26 | |
lifestyle.entertainment.games_family
|
Float | 0.43 | |
lifestyle.entertainment.games_music_and_rhythm
|
Float | 0.86 | |
lifestyle.entertainment.games_puzzle
|
Float | 0.44 | |
lifestyle.entertainment.games_racing_and_vehicle_simulators
|
Float | 0.55 | |
lifestyle.entertainment.games_role_playing_games
|
Float | 0.82 | |
lifestyle.entertainment.games_shooters_and_fps
|
Float | 0.52 | |
lifestyle.entertainment.games_simulation
|
Float | 0.53 | |
lifestyle.entertainment.games_sports
|
Float | 0.28 | |
lifestyle.entertainment.games_strategy
|
Float | 0.27 | |
lifestyle.entertainment.games_trivia
|
Float | 0.95 | |
lifestyle.entertainment.games_word
|
Float | 0.5 | |
lifestyle.food_and_drink
|
Float | 0.02 | |
lifestyle.food_and_drink.foodies_or_cooking_enthusiasts
|
Float | 0.96 | |
lifestyle.food_and_drink.restaurant_frequenters
|
Float | 0.03 | |
lifestyle.health_and_fitness
|
Float | 0.71 | |
lifestyle.health_and_fitness.fitness_enthusiasts
|
Float | 0.64 | |
lifestyle.health_and_fitness.gym_goers
|
Float | 0.31 | |
lifestyle.health_and_fitness.runners_or_joggers
|
Float | 0.58 | |
lifestyle.interests_and_activities
|
Float | 0.56 | |
lifestyle.interests_and_activities.country_club_members
|
Float | 0.86 | |
lifestyle.interests_and_activities.gamers
|
Float | 0.78 | |
lifestyle.interests_and_activities.movie_goers
|
Float | 0.5 | |
lifestyle.interests_and_activities.news_readers
|
Float | 0.21 | |
lifestyle.interests_and_activities.reading_enthusiasts
|
Float | 0.63 | |
lifestyle.retail
|
Float | 0.13 | |
lifestyle.retail.beauty_and_health_buyers
|
Float | 0.5 | |
lifestyle.retail.big_box_retailer_shoppers
|
Float | 0.42 | |
lifestyle.retail.cpg_buyers
|
Float | 0.36 | |
lifestyle.retail.consumer_electronics_buyers
|
Float | 0.74 | |
lifestyle.retail.department_store_value_shoppers
|
Float | 0.31 | |
lifestyle.retail.fashion_shoppers_or_fashion_followers
|
Float | 0.27 | |
lifestyle.retail.hotel_visitors
|
Float | 0.62 | |
lifestyle.retail.sports_and_outdoor_buyers
|
Float | 0.2 | |
lifestyle.retail.upscale_shoppers
|
Float | 0.3 | |
lifestyle.retail.young_and_hip_shoppers
|
Float | 0.17 | |
lifestyle.sports
|
Float | 0.69 | |
lifestyle.sports.golf_enthusiasts
|
Float | 0.29 | |
lifestyle.sports.soccer_enthusiasts
|
Float | 0.81 | |
lifestyle.sports.sports_enthusiasts
|
Float | 0.08 | |
lifestyle.telecommunication
|
Float | 0.06 | |
lifestyle.telecommunication.downloaders
|
Float | 0.81 | |
lifestyle.telecommunication.dual_sim_phone_users
|
Float | 0.76 | |
lifestyle.travel
|
Float | 0.85 | |
lifestyle.travel.air_travelers
|
Float | 0.04 | |
lifestyle.travel.business_travelers
|
Float | 0.76 | |
lifestyle.travel.leisure_travelers
|
Float | 0.99 | |
lifestyle.life_stages
|
Float | 0.41 | |
lifestyle.life_stages.singles
|
Float | 0.17 | |
lifestyle.life_stages.college_students
|
Float | 0.38 | |
lifestyle.general_demographics
|
Float | 0.86 | |
lifestyle.general_demographics.55+
|
Float | 0.89 | |
lifestyle.general_demographics.male
|
Float | 0.81 | |
lifestyle.general_demographics.18-24
|
Float | 0.11 | |
lifestyle.general_demographics.25-34
|
Float | 0.27 | |
lifestyle.general_demographics.35-44
|
Float | 0.09 | |
lifestyle.general_demographics.45-54
|
Float | 0.54 | |
lifestyle.general_demographics.female
|
Float | 0.43 | |
lifestyle.general_demographics.low_income
|
Float | 0.77 | |
lifestyle.general_demographics.high_income
|
Float | 0.8 | |
lifestyle.general_demographics.young_mothers
|
Float | 0.93 | |
lifestyle.general_demographics.average_income
|
Float | 0.91 | |
lifestyle.general_demographics.millennial_males
|
Float | 0.25 | |
lifestyle.general_demographics.families_with_kids
|
Float | 0.63 | |
lifestyle.general_demographics.millennial_females
|
Float | 0.23 |
Description
Country Coverage
History
Volume
379 million | RECORDS |
Pricing
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Frequently asked questions
What is 1datapipe Identity & Lifestyle Data LATAM 379M Verified Profiles for Marketing, KYC, and Consumer Insights?
379M verified identity and lifestyle profiles across LATAM for KYC, marketing intelligence, and audience segmentation. Privacy-first and updated monthly.
What is 1datapipe Identity & Lifestyle Data LATAM 379M Verified Profiles for Marketing, KYC, and Consumer Insights used for?
This product has 5 key use cases. 1datapipe recommends using the data for Location-based Audience Analytics, Consumer Intelligence, Marketing Intelligence, Know Your Customer (KYC), and Marketing Strategy. Global businesses and organizations buy Demographic Data from 1datapipe to fuel their analytics and enrichment.
Who can use 1datapipe Identity & Lifestyle Data LATAM 379M Verified Profiles for Marketing, KYC, and Consumer Insights?
This product is best suited if you’re a Enterprise looking for Demographic 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 & Lifestyle Data LATAM 379M Verified Profiles for Marketing, KYC, and Consumer Insights go?
This product has 12 months of historical coverage. It can be delivered on a monthly basis.
Which countries does 1datapipe Identity & Lifestyle Data LATAM 379M Verified Profiles for Marketing, KYC, and Consumer Insights cover?
This product includes data covering 3 countries like Brazil, Mexico, and Ecuador. 1datapipe is headquartered in United States of America.
How much does 1datapipe Identity & Lifestyle Data LATAM 379M Verified Profiles for Marketing, KYC, and Consumer Insights cost?
Pricing information for 1datapipe Identity & Lifestyle Data LATAM 379M Verified Profiles for Marketing, KYC, and Consumer Insights 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 & Lifestyle Data LATAM 379M Verified Profiles for Marketing, KYC, and Consumer Insights?
Businesses can buy Demographic 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 & Lifestyle Data LATAM 379M Verified Profiles for Marketing, KYC, and Consumer Insights?
1datapipe has reported that this product has the following quality and accuracy assurances: 100% Brazil ID, 100% Brazil Gender, 100% Brazil Name. You can compare and assess the data quality of 1datapipe using Datarade’s data marketplace.
What are similar products to 1datapipe Identity & Lifestyle Data LATAM 379M Verified Profiles for Marketing, KYC, and Consumer Insights?
This product has 3 related products. These alternatives include 1datapipe Demographic Data Asia 401M Verified Identity & Lifestyle Records Across 7 Markets, Audience Data 750M+ User Profiles 300M+ Updates a Month, Accurate Consumer Behavior & Identity Insights, and Segmentation Data North America Detailed Insights on Consumer Attitudes and Behaviours Consumer Behaviour Data Consumer Sentiment Data. You can compare the best Demographic Data providers and products via Datarade’s data marketplace and get the right data for your use case.