Overview

This page contains a listing of all the fields contained in the Person Dataset. Fields are broken out into the following sections:

Base Person Fields: Common fields available to all customers by default
Person Risk Attributes: Premium identity-risk-related fields with enhanced tracking and sourcing information
Premium Resume Fields: Premium resume-related fields such as raw-text job titles and summary descriptions

For access to fields beyond the Base Person Fields, please speak to one of our data consultants.

Base Person Fields

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Formatting Notes
The dot notation indicates that the property is one level deep inside a hash. If a field is not present then we’ll return an empty list or null value for that field.

FIELD NAME	FIELD TYPE	Persistence Commitments and Format	SHORT DESCRIPTION	EXAMPLE
`id`	`String`		PDL persistent ID	qEnOZ5Oh0poWnQ1luFBfVw_0000
`full_name`	`String`	Free text field	The first and the last name fields appended with a space	sean thorne
`first_name`	`String`	Free text field	A person's first name	sean
`middle_initial`	`String`	Free text field, single character	A person's middle initial	f
`middle_name`	`String`	Free text field	A person's middle name	fong
`last_initial`	`String`	Free text field, single character	The first letter of a person's last name	t
`last_name`	`String`	Free text field	A person's last name	thorne
`gender`	`String`	Canonical Genders	The person's gender	male
`birth_year`	`Date`*	Date string. YYYY-MM-DD. Represented as Int for Data License customers (see October 2021 Release Notes (v16))	Approximated birth date associated with this person profile. If a profile has a birth_date, the birth_data_fuzzy field will match	1990
`birth_date`	`Date`	Date string in YYYY-mm-dd format. Can be accurate to the day (YYYY-MM-DD), month (YYYY-MM) or year (YYYY). If this exists, birth_year will agree with this	Birth date associated with this person profile	1990-12-03
`linkedin_url`	`String`	Url of the form `[linkedin.com/in/](http://linkedin.com/in/)<linkedin_username>` -- not necessarily an active profile	Main linkedin profile for this record based on source agreement	linkedin.com/in/seanthorne
`linkedin_username`	`String`	Free text field with blacklisted values	Main linkedin username for this record based on source agreement	seanthorne
`linkedin_id`	`String`		Main linkedin profile id for this record based on source agreement	145991517
`facebook_url`	`String`	Url of the form `[facebook.com/](http://facebook.com/)<facebook_username>`	facebook profile	facebook.com/deseanthorne
`facebook_username`	`String`		facebook username	deseanthorne
`facebook_id`	`String`		persistent facebook id associated with a person's facebook profile	1089351304
`twitter_url`	`String`		Twitter URL	twitter.com/seanthorne5
`twitter_username`	`String`		Twitter Username	seanthorne5
`github_url`	`String`	Url of the form `[github.com/](http://github.com/)<github_username>`	Main github profile for this record based on source agreement	github.com/deseanathan_thornolotheu
`github_username`	`String`		Main github profile username for this record based on source agreement	deseanathan_thornolotheu
`work_email`	`String`	Valid email address formatting	Current Professional email	[email protected]
`personal_emails`	`Array (String)`		List of all emails tagged as type = personal	["[email protected]", "[email protected]"]
`mobile_phone`	`String`		Highly confident direct dial mobile phone associated with this person	17095944554
`industry`	`Enum (String)`		The most relevant industry for this record based primarily on their tagged personal industries and secondarily on the industries of the companies that they have worked for	computer software
`job_title`	`String`		A person's current job title	co-founder and chief executive officer
`job_title_role`	`Enum (String)`	Canonical Job Roles	A person's current job title derived role	operations
`job_title_sub_role`	`Enum (String)`	Canonical Job Sub Roles	A person's job title derived subrole. Each subrole maps to a role	logistics
`job_title_levels`	`Array (Enum (String))`	Canonical Job Title Levels	A person's current job title derived levels	["cxo", "owner"]
`job_company_id`	`String`		A person's current company's PDL ID	peopledatalabs
`job_company_name`	`String`		A person's current company's name	people data labs
`job_company_website`	`String`		A person's current company's website	peopledatalabs.com
`job_company_size`	`Enum (String)`	Canonical Company Sizes	A person's current company's size range	51-200
`job_company_founded`	`Date`*	Date string. YYYY-MM-DD. Represented as Int for Data License customers (see October 2021 Release Notes (v16))	A person's current company's founded date	1911
`job_company_industry`	`Enum (String)`	Canonical Industries	A person's current company's industry	computer software
`job_company_linkedin_url`	`String`		A person's current company's linkedin url	linkedin.com/company/peopledatalabs
`job_company_linkedin_id`	`String`		A person's current company's linkedin id	1640694639
`job_company_facebook_url`	`String`		A person's current company's facebook url	facebook.com/peopledatalabs
`job_company_twitter_url`	`String`		A person's current company's twitter url	twitter.com/peopledatalabs
`job_company_location_name`	`String`		A person's current company's HQ canonical location	san francisco, california, united states
`job_company_location_locality`	`String`		A person's current company's HQ locality	san francisco
`job_company_location_metro`	`Enum (String)`	Canonical Metros	A person's current company's HQ metro area	san francisco, california
`job_company_location_region`	`String`		A person's current company's HQ region	california
`job_company_location_geo`	`String`		A person's current company's HQ geo	37.77,-122.41
`job_company_location_street_address`	`String`		A person's current company's HQ street_address	455 Market Street Suite 1690
`job_company_location_address_line_2`	`String`		A person's current company's HQ address line 2	suite 1690
`job_company_location_postal_code`	`String`		A person's current company's HQ postal code	94105
`job_company_location_country`	`Enum (String)`	Canonical Countries	A person's current company's HQ country	united states
`job_company_location_continent`	`Enum (String)`	Canonical Continents	A person's current company's HQ continent	north america
`job_last_updated`	`Date`	Date string. YYYY-MM-DD	Indicates the timestamp of the most recent source that agrees with this information	2018-11-05
`job_start_date`	`Date`	Date string. YYYY-MM-DD	Indicates the start period of the object. Can be accurate to the day (YYYY-MM-DD), month (YYYY-MM) or year (YYYY)	2015-03
`location_name`	`String`		the current canonical location of the person	berkeley, california, united states
`location_locality`	`String`		the current locality of the person	berkeley
`location_metro`	`Enum (String)`	Canonical Metros	the current MSA of the person	san francisco, california
`location_region`	`String`		the current region of the person	california
`location_country`	`Enum (String)`	Canonical Countries	the current country of the person	united states
`location_continent`	`Enum (String)`	Canonical Continents	the current continent of the person	north america
`location_street_address`	`String`		the current street address of the person	455 fake st
`location_address_line_2`	`String`		the current address line 2 of the person	apartment 12
`location_postal_code`	`String`		the current postal code of the person	94704
`location_geo`	`String`		the current geo of the person	37.87,-122.27
`location_last_updated`	`Date`	Date string. YYYY-MM-DD	Indicates the timestamp of the most recent source that agrees with this information	2018-11-05
`phone_numbers`	`Array (String)`		Phone numbers associated with this person profile in E164 format	17095944554
`emails`	`Array (Object)`		Emails associated with this person profile. When outputted as a csv, the indexing is based on recency and associativity
`emails.address`	`String`		The full parsed email	[email protected]
`emails.type`	`Enum (String)`		The type of email either current_professional, professional, personal or null	professional
`interests`	`Array (Object)`		Interests associated with the profile
`skills`	`Array (Object)`		Skills associated with the profile
`location_names`	`Array (String)`		list of all canonical location names associated with the person	["berkeley, california, united states", "san francisco, california, united states"]
`regions`	`Array (String)`		List of regions associated with the person	["california, united states"]
`countries`	`Array (Enum (String))`	Canonical Countries	list of countries associated with a person	["united states"]
`street_addresses`	`Array (Object)`		List of full parsed addresses associated with the person	List of full parsed addresses associated with the person
`street_addresses.street_address`	`String`		The street address associated with the location object	455 fake st
`street_addresses.address_line_2`	`String`		The secondary street address associated with the location object	apartment 12
`street_addresses.name`	`String`		A string that appends location fields together to create a standard location field	berkeley, california, united states
`street_addresses.locality`	`String`		The administrative locality associated with the location object	berkeley
`street_addresses.metro`	`Enum (String)`	Canonical Metros	The metro area associated with the location object	san francisco, california
`street_addresses.region`	`String`		The administrative region associated with the location object	california
`street_addresses.postal_code`	`String`		The postal code associated with the location object	94704
`street_addresses.country`	`String`		The country associated with the location object	united states
`street_addresses.geo`	`String`		The geolocation associated with the location object in latitude, longitude format	37.87,-122.27
`street_addresses.continent`	`Enum (String)`	Canonical Continents	The continent associated with the country in the location object	north america
`experience`	`Array (Object)`		Experience objects associated with this person profile. When outputted as a csv, the indexing is based on recency and associativity
`experience.title`	`Object`		A dictionary object that provides a raw title, canonized title, and level
`experience.title.name`	`String`		The inputted title from our data sources with some basic cleaning and mapping in order to help with merging	chief executive officer and co-founder
`experience.title.levels`	`Array (Enum (String))`	Canonical Job Title Levels	Levels associated with a title	["cxo"]
`experience.title.role`	`Enum (String)`	Canonical Job Roles	A person's job title derived role	operations
`experience.title.sub_role`	`Enum (String)`	Canonical Job Sub Roles	A person's job title derived subrole. Each subrole maps to a role	logistics
`experience.company`	`Object`		A dictionary of information for the associated company
`experience.company.id`	`String`		Our current NOT PERSISTENT ids that tie company data to the canonical data	peopledatalabs
`experience.company.name`	`String`		The name associated with the company	people data labs
`experience.company.website`	`String`		The website associated with the company	peopledatalabs.com
`experience.company.founded`	`Date`*	Date string. YYYY-MM-DD. Represented as Int for Data License customers (see October 2021 Release Notes (v16))	The year that the company was founded	1911
`experience.company.size`	`Enum (String)`	Canonical Company Sizes	The size range of the company	51-200
`experience.company.industry`	`Enum (String)`	Canonical Industries	The industry associated with the company	computer software
`experience.company.linkedin_url`	`String`		The linkedin url associated with the company	linkedin.com/company/peopledatalabs
`experience.company.linkedin_id`	`String`		The linkedin id associated with the company	1640694639
`experience.company.facebook_url`	`String`		The facebook url associated with the company	facebook.com/peopledatalabs
`experience.company.twitter_url`	`String`		The twitter associated with the company	twitter.com/peopledatalabs
`experience.start_date`	`Date`	Date string. YYYY-MM-DD	Indicates the start period of the object. Can be accurate to the day (YYYY-MM-DD), month (YYYY-MM) or year (YYYY)	2015-03
`experience.end_date`	`Date`	Date string. YYYY-MM-DD	Indicates the end period of the object	2011-07
`experience.location_names`	`Array (String)`		Canonical locations associated with this particular job/experience object (where the person is working, which may or may not be where the company is headquartered.)	["san francisco, california, united states"]
`experience.is_primary`	`Boolean`		Indicates if the experience is the primary experience object in our dataset. This experience object will exist in the job_XXX fields	TRUE
`experience.company.location`	`Object`		A dictionary of information for the associated company location
`experience.company.location.street_address`	`String`		Company HQ address	455 Market Street Suite 1690
`experience.company.location.address_line_2`	`String`		The adress line 2 associated with the company HQ	suite 1690
`experience.company.location.name`	`String`		The canonical location name associated with the company HQ	san francisco, california, united states
`experience.company.location.locality`	`String`		Company locality	san francisco
`experience.company.location.metro`	`Enum (String)`	Canonical Metros	Company metro area	san francisco, california
`experience.company.location.region`	`String`		Company region	california
`experience.company.location.country`	`Enum (String)`	Canonical Countries	Company country	united states
`experience.company.location.postal_code`	`String`		The postal code associated with the company HQ	94105
`experience.company.location.continent`	`Enum (String)`	Canonical Continents	The continent associated with the company HQ	north america
`experience.company.location.geo`	`String`		The geo code associated with the company HQ	37.77,-122.41
`education`	`Array (Object)`		Education objects associated with this person profile. When outputted as a csv, the indexing is based on recency and associativity
`education.degrees`	`Array (Enum (String))`	Canonical Education Degrees	A list of canonical degrees associated with this education object	["bachelors", "bachelors of arts"]
`education.majors`	`Array (Enum (String))`	Canonical Education Majors	A list of majors associated with this education object	["entrepreneurship"]
`education.minors`	`Array (Enum (String))`	Canonical Education Majors	A list of minors associated with this education object	["business"]
`education.school`	`Object`		A dictionary of information for the associated school
`education.school.id`	`String`		Our current NOT PERSISTENT ids that tie company data to the canonical data	a56df063-4562-4e59-bc4c-68b33c14df1e
`education.school.name`	`String`		The name associated with the school	university of oregon
`education.school.website`	`String`		The website associated with the school, could include subdomains	business.uoregon.edu
`education.school.domain`	`String`		The website associated with the school	uoregon.edu
`education.school.type`	`Enum (String)`	Canonical School Types	The type of school	post-secondary institution
`education.school.linkedin_url`	`String`		The linkedin url associated with the school	linkedin.com/school/university-of-oregon
`education.school.linkedin_id`	`String`		The linkedin ID associated with the school	19207
`education.school.facebook_url`	`String`		The facebook url associated with the school	facebook.com/universityoforegon
`education.school.twitter_url`	`String`		The twitter url associated with the school	twitter.com/uoregon
`education.school.location`	`Object`		The location associated with the school
`education.school.location.name`	`String`		The canonical name of the location associated with the school	eugene, oregon, united states
`education.school.location.locality`	`String`		The locality associated with the school	eugene
`education.school.location.region`	`String`		The region associated with the school	oregon
`education.school.location.country`	`Enum (String)`	Canonical Countries	The country associated with the school	united states
`education.school.location.continent`	`Enum (String)`	Canonical Continents	The continent associated with the school	north america
`education.start_date`	`Date`	Date string. YYYY-MM-DD	Indicates the start period of the object	2008-09
`education.end_date`	`Date`	Date string. YYYY-MM-DD	Indicates the end period of the object	2013-06
`education.gpa`	`Float`		The gpa associated with the given degree	2.23
`profiles`	`Array (Object)`		Social media profiles associated with this person profile
`profiles.url`	`String`		The url of the social profile	linkedin.com/in/seanthorne
`profiles.id`	`String`		the persistent id related to this social profile (varies by social network)	145991517
`profiles.network`	`Enum (String)`	Canonical Profile Networks	The network the profile exists on	linkedin
`profiles.username`	`String`		The username associated with the profile	seanthorne
`operation_id`	`String`		Currently only in data license deliveries. Allows PDL employees to identify the timestamp and operations performed on the internal data to return a record in a delivery.	acee3bde2e1a2cb7e75c57b80d5b7bc2d5de5b02e7ea51f91304c28df77251dc
`version_status`	`Object`	Deprecated in API Responses	Allows customers track the pervious and current dataset version, any other persistent IDs that were merged into this record using improved entity resolution, and the status of the record
`version_status.contains`	`Array (String)`	Deprecated in API Responses	List of IDs merged into this record since the last release	["qEnOZ5Oh0poWnQ1luFBfVw_0000"]
`version_status.current_version`	`String`	Deprecated in API Responses	Current version of the data	15
`version_status.previous_version`	`String`	Deprecated in API Responses	Previous version of the data	14
`version_status.status`	`String`	Deprecated in API Responses. Canonical Version Status	Explains what happened to this record between the previous release and the current release	updated

Person Risk Attributes

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Formatting Notes
The dot notation indicates that the property is one level deep inside a hash. If a field is not present then we’ll return an empty list or null value for that field.

FIELD NAME	FIELD TYPE	Persistence Commitments and Format	SHORT DESCRIPTION	EXAMPLE
`profiles.first_seen`	`Date`	Date string. YYYY-MM-DD	The date when this profile was first associated to this record	2017-06-02
`profiles.last_seen`	`Date`	Date string. YYYY-MM-DD	The date when this profile was last associated to this record	2019-07-18
`profiles.num_sources`	`Integer`	Greater than 0	The number of sources that have contributed to the association of this profile to this record	17
`emails.first_seen`	`Date`	Date string. YYYY-MM-DD	The date when this email was first associated to this record	2017-06-02
`emails.last_seen`	`Date`	Date string. YYYY-MM-DD	The date when this email was last associated to this record	2019-07-18
`emails.num_sources`	`Integer`	Greater than 0	The number of sources that have contributed to the association of this email to this record	17
`phones`	`Array (Object)`		A list of the phone numbers known to be associated with this record
`phones.number`	`String`	A phone number in E164 format	An individual phone number associated with this record	17095944554
`phones.first_seen`	`Date`	Date string. YYYY-MM-DD	The date when this phone number was first associated to this record	2017-06-02
`phones.last_seen`	`Date`	Date string. YYYY-MM-DD	The date when this phone number was last associated to this record	2019-07-18
`phones.num_sources`	`Integer`	Greater than 0	The number of sources that have contributed to the association of this phone number to this record	17
`street_addresses.first_seen`	`Date`	Date string. YYYY-MM-DD	The date when this street address was first associated to this record
`street_addresses.last_seen`	`Date`	Date string. YYYY-MM-DD	The date when this street address was last associated to this record
`street_addresses.num_sources`	`Integer`	Greater than 0	The number of sources contributed that have contributed to the association of this street address to this record	17
`linkedin_connections`	`Integer`	Typically 0-500, some are the true values over 500	The number of linkedin connections the person has	432
`facebook_friends`	`Integer`	Greater than or equal to 0	The number of facebook friends the person has	3912
`name_aliases`	`Array (String)`		Any additional associated names or aliases beyond the primary one currently displayed in the name field	["andrew nichol", "r andrew nichol", "robert nichol"]
`possible_emails`	`Array (Object)`		Any additional associated emails to this person record with a lower level of confidence than the currently-displayed ones in the emails array	same as emails array
`possible_phones`	`Array (String)`		Any additional associated phones to the person record with a lower level of confidence to the currently-displayed ones in the phone_numbers array	same as phone_numbers array
`possible_profiles`	`Array (Object)`		Any additional associated profiles to the person record w/ a lower level of confidence to the currently-displayed ones in the profiles	same as profiles array
`possible_street_addresses`	`Array (Object)`		Any additional associated addresses to the person record with a lower level of confidence to the currently-displayed ones in the street_addresses array	same as street addresses array
`possible_birth_dates`	`Array (Object)`		Any additional associated birth dates to the person record with a lower level of confidence to the currently-displayed one in the birth_date field	[{"month": 5, "day": 26, "year": 1991}, {"month": 5, "day" 26, "year": 1992}]
`possible_location_names`	`Array (String)`		Inferred potential locations the person has lived in based on phone area codes, university location, other associations	same as location_names array
`experience.first_seen`	`Date`	Date string. YYYY-MM-DD	The date when this professional position was first associated to this record in our data	2016-10-12
`experience.last_seen`	`Date`	Date string. YYYY-MM-DD	The date when this professional position was last associated to this record in our data	2022-01-04
`job_history`	`Array (Object)`		Any additional professional positions associated to this person record beyond the ones we currently display in the experience array. Usually these are positions that have been removed or changed on resumes	[{"company": "twisselman enterprises", "title": "food service supervisor", "first_seen": "2016-05-17"}]
`job_history.first_seen`	`Date`	Date string. YYYY-MM-DD	The date when this professional position was first associated to this record in our data	2016-05-17
`job_history.last_seen`	`Date`	Date string. YYYY-MM-DD	The date when this professional position was last associated to this record in our data	2020-05-30
`num_records`	`Integer`	Greater than 0	The number of unique raw records contributing to this specific PDL profile
`num_sources`	`Integer`	Greater than 0	The number of unique sources contributing to this specific PDL profile	172
`first_seen`	`Date`	Date string. YYYY-MM-DD	The date when this record was first created in our data	2017-06-02

Premium Resume Fields

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Formatting Notes
The dot notation indicates that the property is one level deep inside a hash. If a field is not present then we’ll return an empty list or null value for that field.

FIELD NAME	FIELD TYPE	Persistence Commitments and Format	SHORT DESCRIPTION	EXAMPLE
`certifications`	`Array (Object)`		Certification objects associated with this person profile
`certifications.end_date`	`Date`	Date string. YYYY-MM-DD	Expiration of certification	2018-03
`certifications.name`	`String`	Free Text Field	Inputted name of the certification	machine learning certification
`certifications.organization`	`String`	Free Text Field	Inputted organization awarding certification	coursera
`certifications.start_date`	`Date`	Date string. YYYY-MM-DD	Start date of certification	2019-04
`education.raw`	`Array (String)`	Free Text Field	Raw education input information. Parsed into the degrees/majors/minors fields	bachelors of arts in entrepreneurship, business minor
`education.school.raw`	`Array (String)`	Free Text Field	Raw school names	university of oregon
`education.summary`	`String`	Free Text Field, Cased	User-inputted summary of education	when i was at oregon i volunteered at a local homeless shelter 3 days a week
`experience.company.raw`	`Array (String)`	Free Text Field	Raw company names	google -- analytics team
`experience.company.ticker`	`String`	Free Text Field, capitalized	Company Ticker, (only for public companies)	GOOG
`experience.company.type`	`Enum (String)`	Canonical Company Types	Company Type	public
`experience.summary`	`String`	Free Text Field, Cased	User-inputted summary of experience	worked on the "search analytics" team to understand our users better
`experience.title.raw`	`Array (String)`	Free Text Field	Raw titles	chief executive officer and co-founder
`inferred_salary`	`Enum (String)`	Canonical Inferred Salary Ranges	inferred salary range -- Contact Us to learn how we infer	70,000-85,000
`inferred_years_experience`	`Integer`	Between 0 and 100	Inferred years work experience	7
`job_company_ticker`	`String`	Free Text Field, capitalized	Current Company Ticker	GOOG
`job_company_type`	`Enum (String)`	Canonical Company Types	Current Company Type	public
`job_summary`	`String`	Free Text Field, Cased	User-inputted summary of experience	worked on the "search analytics" team to understand our users better
`languages`	`Array (Object)`		Self-identified languages spoken
`languages.name`	`String`	Canonical Languages	Name of the canonical language the person inputted	english
`languages.proficiency`	`Enum (Integer)`	Score 1-5	Self-identified proficiency score 1 (limited) - 5 (fluent)	5
`linkedin_connections`	`Integer`	Typically 0-500, some are the true values over 500	Number of linkedin connections	50
`summary`	`String`	Free Text Field, Cased	Self-written summaries tied to person profile (often linkedin summaries)	growth-hacker and digital nomad

Person Schema

Overview

Base Person Fields

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Formatting Notes

Person Risk Attributes

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Formatting Notes

Premium Resume Fields

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Formatting Notes

Overview

Base Person Fields

📘Formatting Notes

Person Risk Attributes

📘Formatting Notes

Premium Resume Fields

📘Formatting Notes

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Formatting Notes

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Formatting Notes

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Formatting Notes