Data Dictionary
As of April 28, 2025
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Record ID
record_id
TEXT
aaaaa-bbbb-11111-2222
Unique identifier, presented at the request
Matched
is_match
BOOLEAN
TRUE
If Minerva found a match
Minerva Person ID
minerva_pid
TEXT
p-05d091be3ab689a589079946eb390b82
Minerva's persistent person ID
Full Name
full_name
TEXT
JONATHAN S DOE JR
Full name
First Name
first_name
TEXT
JONATHAN
First name
Middle Name
middle_name
TEXT
S
Middle name (full or initial)
Last Name
last_name
TEXT
DOE
Last name
Suffix
name_suffix
TEXT
JR
Suffix (JR or SR)
Gender
gender
TEXT
M
Gender
Date of Birth
dob
DATE
1980-01-01
Date of birth, at the month level. Every DOB will be day 1 of month
Age
age
INT
35
Age
Marital Status
marital_status
TEXT
M
Married (M) or Single (S)
Minerva Household ID
minerva_household_id
TEXT
h-63cb1d0548b2155649b355c0668a327e
Minerva's household ID
Minerva Spouse ID
minerva_spouse_pid
TEXT
p-e78ff9e50de3f693a557e4c878362005
Minerva PID of person's spouse, if available
Number of Children
number_of_children
INT
2
Number of children
Is Retired
is_retired
BOOLEAN
FALSE
If they are likely retired
Estimated Income Range
estimated_income_range
TEXT
>$1M
Estimated income range
Estimated Wealth Range
estimated_wealth_range
TEXT
>$50M
Estimated wealth range
Home Owner Status
home_ownership_status
TEXT
Home Owner
Home Owner or Renter, currently
LinkedIn URL
linkedin_url
TEXT
LinkedIn Profile URL
LinkedIn Title
linkedin_title
TEXT
Building
Profile Title
LinkedIn Industry
linkedin_industry
TEXT
Startups
Profile Industry
Is Likely Remote Worker
is_likely_remote_worker
BOOLEAN
FALSE
If they are likely working remote
Facebook URL
facebook_url
TEXT
Facebook profile URL
Twitter URL
twitter_url
TEXT
Twitter profile URL
Has Bankruptcy Records
has_bankruptcy_records
BOOLEAN
FALSE
Has historical bankruptcy records
Has Judgment Records
has_judgment_records
BOOLEAN
FALSE
Has historical judgment records
Address History Array
address_history
ARRAY
Array of last 5 historical addresses
Education Experience Array
education_experience
ARRAY
Complete array of educational experiences
Work Experience Array
work_experience
ARRAY
Complete array of work history
Personal Emails Array
personal_emails
ARRAY
Personal emails
Professional Emails Array
professional_emails
ARRAY
Professional Emails
Phones Array
phones
ARRAY
All phones
Address Rank
address_history -> address_rank
INT
address_history
1
Order of property, rank = 1 means most likely currently residing
Minerva Address ID
address_history -> minerva_address_id
TEXT
address_history
a-027f5a8b8ec3bd10ae576a5bce3681f0
Minerva's persistent property ID
Address Line 1
address_history -> address_line_1
TEXT
address_history
255 SOLANO PRADO
Address Line 1
Address Line 2
address_history -> address_line_2
TEXT
address_history
APT 1
Address Line 2
Address City
address_history -> address_city
TEXT
address_history
CORAL GABLES
Address city
Address State
address_history -> address_state
TEXT
address_history
FL
Address state
Address Zipcode
address_history -> address_zipcode
TEXT
address_history
33156
Address zipcode
Address Zipcode4
address_history -> address_zipcode4
TEXT
address_history
2351
4-digit delivery point zipcode
Address Ownership
address_history -> ownership_status
TEXT
address_history
Owned
Denotes relationship to property - Owned, Rented, Unknown
Is Current Owner
address_history -> is_current_owner
BOOLEAN
address_history
TRUE
If person currently owns property
Property Purchase Date
address_history -> purchase_date
DATE
address_history
2010-03-26
Purchase date of property, when available
Property Purchase Price
address_history -> purchase_price
FLOAT
address_history
5245000
Purchase price of property, when available
Property Est. Current Value
address_history -> estimated_current_value
FLOAT
address_history
22503711
Current estimation of home value
Property Est. Current Rental Value
address_history -> estimated_rental_value
FLOAT
address_history
6357
Current estimation of what home could reasonably rent for
Property Est. Current Tax Liability
address_history -> home_current_tax_liability
FLOAT
address_history
117083.37
Current annual tax liability on home, when available
Property Est. Current Outstanding Loan
address_history -> outstanding_loan_principal
FLOAT
address_history
8024992
Estimated outstanding loan principal left on home, when available
Property Est. Current Equity Amount
address_history -> current_property_equity_amount
FLOAT
address_history
14478719
Estimated current equity in home, when available
Property Square Footage
address_history -> sqft
INT
address_history
6591
Livable square footage of home
Property Number of Beds
address_history -> num_beds
INT
address_history
6
Number of bedrooms
Property Number of Baths
address_history -> num_baths
FLOAT
address_history
7
Number of bathrooms (including partial)
Property First Seen Date
address_history -> first_seen_date
DATE
address_history
2010-03-26
First observation date of the individual in our property dataset
Property Last Seen Date
address_history -> last_seen_date
DATE
address_history
2024-04-01
Most recent update for property information at that date
Education Experience Rank
education_experience -> experience_rank
INT
education_experience
1
Order in which degree was obtained (1 = most recent)
Education Experience ID
education_experience -> minerva_experience_id
TEXT
education_experience
e-663d9544d1bf8ba2eea036c5e07b0eb0
Internal, consistent identifier for the experience record
Education Institution Name
education_experience -> institution_name
TEXT
education_experience
Stetson University
Name of Institution
Education Institution LinkedIn URL
education_experience -> institution_linkedin_url
TEXT
education_experience
LinkedIn URL for the education institution
Education Information
education_experience -> education_information
TEXT
education_experience
Bachelor of Business Administration (B.B.A.) - Accounting
Information about the degree obtained in raw form (as it appears on LinkedIn)
Education Level
education_experience -> education_level
TEXT
education_experience
Bachelors
Extracted degree level from education information
Education Majors
education_experience -> education_majors
ARRAY
education_experience
["Accounting"]
A list of majors extracted from education information
Education Minors
education_experience -> education_minors
ARRAY
education_experience
[]
A list of minors extracted from education information
Education Start Date
education_experience -> education_start_date
DATE
education_experience
1980-08-15
Start date for degree obtained
Education End Date
education_experience -> education_end_date
DATE
education_experience
1985-05-31
Date when individual finished degree
Work Experience Rank
work_experience -> experience_rank
INT
work_experience
1
Work history ordering (1 = most recent job)
Work Experience ID
work_experience -> minerva_experience_id
TEXT
work_experience
w-6aa43b057d9c2f72f5d207161fd2760a
Internal identifier for experience record
Work Company Name
work_experience -> work_company_name
TEXT
work_experience
Minerva BI, Inc.
Name of company
Work Company LinkedIn URL
work_experience -> work_company_linkedin_url
TEXT
work_experience
LinkedIn URL for company
Work Company Website
work_experience -> work_company_website
TEXT
work_experience
Most relevant website for company
Work Company Industry
work_experience -> work_company_industry
TEXT
work_experience
Education Administration Programs
LinkedIn Industry categorization of organization
Work Company NAICS Code
work_experience -> work_company_naics_code
TEXT
work_experience
611110
NAICS code of company
Work Company NAICS Description
work_experience -> work_company_naics_description
TEXT
work_experience
Elementary and Secondary Schools
Description of what NAICS code categorization means
Work Company SIC Code
work_experience -> work_company_sic_code
TEXT
work_experience
8211
Standard Industrial Classification code of company
Work Company SIC Description
work_experience -> work_company_sic_description
TEXT
work_experience
Elementary and Secondary Schools
Description of what SIC code categorization means
Work Job Title
work_experience -> work_title
TEXT
work_experience
Principal of School
Job title for experience record
Work Standardized Job Title
work_experience -> standard_work_title
TEXT
work_experience
Principal
Minerva standardization of job title, into a more common title
Work Seniority Level
work_experience -> work_seniority_level
TEXT
work_experience
Executive
Categorization of seniority level (i.e. Entry, Executive, Mid, etc)
Work Department
work_experience -> work_department
TEXT
work_experience
Education
Minerva's department categorization for job
Work Employment Type
work_experience -> work_employment_type
TEXT
work_experience
Full-Time
Categorization of job type based on time (i.e. Full-Time, Part-Time)
Work Status
work_experience -> work_status
TEXT
work_experience
current
Label of current job versus previous job
Work Start Date
work_experience -> work_start_date
DATE
work_experience
2013-08-01
Start date of experience record
Work End Date
work_experience -> work_end_date
DATE
work_experience
2020-10-01
End date of experience record (null value means person is still at job)
Work Location City
work_experience -> work_city
TEXT
work_experience
Miami
Job location (city)
Work Location State
work_experience -> work_state
TEXT
work_experience
FL
Job location (state)
Work Location Country
work_experience -> work_country
TEXT
work_experience
US
Job location (country)
Personal Email Rank
personal_emails -> email_rank
INT
personal_emails
1
Ranking of email by quality (1 = highest quality)
Personal Email Address
personal_emails -> email_address
TEXT
personal_emails
jonathan.doe@aol.com
Personal email address string
Professional Email Rank
professional_emails -> email_rank
INT
professional_emails
1
Ranking of professional email by quality (1 = highest quality)
Professional Email Address
professional_emails -> email_address
TEXT
professional_emails
jonathan.doe@benttreeelem.net
Professional email address string
Phone Rank
phones -> phone_rank
INT
phones
1
Ranking of phone number by quality (1 = highest quality)
Phone Type
phones -> phone_type
TEXT
phones
Mobile
Type of phone (Mobile, Landline/Services, Personal Company)
Phone Number
phones -> phone_number
TEXT
phones
(123) 456-7890
Phone number string
Match Score
match_score
FLOAT
98.5
Match score (higher is better, anything above 60 indicates a match)
Validation Errors
validation_errors
JSON
{"phones": "phone '925920' is not a valid US phone and was ignored"}
Any input field issues that could not be used in matching
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