
GeoLifestyle Data | 6 Emerging Markets | 561M Dataset | Consumer Behavior 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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
Country Coverage
History
Volume
561 million | Records |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is GeoLifestyle Data 6 Emerging Markets 561M Dataset Consumer Behavior Insights?
Access 561M records of verified, geo-coded consumer data across 6 key emerging markets. GeoLifestyle enables detailed audience segmentation, predictive analytics, and behavior-driven marketing, with full on-premise security and regulatory compliance.
What is GeoLifestyle Data 6 Emerging Markets 561M Dataset Consumer Behavior Insights used for?
This product has 5 key use cases. 1datapipe recommends using the data for Audience Segmentation, Market Research, Behavioral Analytics, Location-based Audience Analytics, and Consumer Intelligence. Global businesses and organizations buy Location Data from 1datapipe to fuel their analytics and enrichment.
Who can use GeoLifestyle Data 6 Emerging Markets 561M Dataset Consumer Behavior Insights?
This product is best suited if you’re a Enterprise looking for Location 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 GeoLifestyle Data 6 Emerging Markets 561M Dataset Consumer Behavior Insights go?
This product has 12 months of historical coverage. It can be delivered on a monthly basis.
Which countries does GeoLifestyle Data 6 Emerging Markets 561M Dataset Consumer Behavior Insights cover?
This product includes data covering 6 countries like Brazil, Mexico, Indonesia, Thailand, and UAE. 1datapipe is headquartered in United States of America.
How much does GeoLifestyle Data 6 Emerging Markets 561M Dataset Consumer Behavior Insights cost?
Pricing information for GeoLifestyle Data 6 Emerging Markets 561M Dataset Consumer Behavior 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 GeoLifestyle Data 6 Emerging Markets 561M Dataset Consumer Behavior Insights?
Businesses can buy Location 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 GeoLifestyle Data 6 Emerging Markets 561M Dataset Consumer Behavior Insights?
1datapipe has reported that this product has the following quality and accuracy assurances: 75% Mobile phone. You can compare and assess the data quality of 1datapipe using Datarade’s data marketplace.
What are similar products to GeoLifestyle Data 6 Emerging Markets 561M Dataset Consumer Behavior Insights?
This product has 3 related products. These alternatives include Persona enrich 1st-party data with 350+ U.S. consumer personas, Psychographic Data: Consumer Insight into Behavioral Habits and Interests., and Consumer Marketing Data API Tailored Consumer Insights Target with Precision Best Price Guarantee. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.