Data Dictionary

Linkedin Profile Data
Data Dictionary

Every field, its real fill rate, data types, example values and country-level coverage — computed directly from the live dataset. 680.7M+ records.

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Dataset at a glance

Total records680.7M+

Fields documented34

Countries covered280

Avg fill (core)51.4^%

Last updatedSep 2026

Fill rates

Coverage across core fields.

Fill rate = the share of records where the field holds a real (non-empty, non-placeholder) value. Measured at record level across the full collection.

100.0^%

linkedin_url

100.0^%

timestamp

100.0^%

country

100.0^%

first_name

99.3^%

location

96.6^%

last_name

73.5^%

experience

73.5^%

experience_c

Field dictionary

Every field. Fully documented.

Search by field name. Fill rates are computed live from the dataset collection.

Showing all 34 fields

Field name	Type	Description	Example	Fill rate
linkedin_url	string	LinkedIn profile URL, as a unique identifier.	https://www.linkedin.com/in/daniel-meadows-44346b92	100.0%
timestamp	date	—	2025-12-24T01:13:18Z	100.0%
country	string	ISO country name.	Luxembourg	100.0%
first_name	string	First Name	Susanne	100.0%
location	string	Location can be region, city or state.	Lille, Hauts-de-France, France	99.3%
last_name	string	Last Name	Kers	96.6%
experience	array	List of work experience including job title, company, company information, time period, and summary.	H4sIAGkcS2kC/91Ru07EMBD8Fct13uWVEUgU6ApeBQghX7xwVpx1cNYXAuLfWUcJQnASFQ2SC3tmPTs7e/cmh9B1yk9yI6RMhGxcQPr67HqF07nBFrTBa28j	73.5%
experience_c	integer	—	12	73.5%
title	string	General job title.	Teamleider Verpakken	68.3%
seniority	string	—	Founder	60.6%
seniority_level	string	Seniority level of the person.	Founder	60.6%
state	string	—	Lombardy	57.4%
city	string	—	Berlin	51.8%
departments	array	—	Other	50.2%
education	array	List of educational degrees for profile.	H4sIAGkcS2kC/8WQT0sDMRDFv8qw5+3+FaQ9ihdBbUH0Ih5iMtp0s5l1kuyi0u9us1S0rR4UQZjTey9v8pvb10SKtgsumUFydTOHXjTUGdRK20d4IFJJConz	45.5%
education_c	integer	—	7	45.5%
expertise	text	List of skills of the person.	None	36.7%
languages	array	Reported languages for profile.	Englisch	9.8%
certifications	array	List of certifications for profile.	H4sIAG4cS2kC/9WUXWvbMBSG/4rxxa7q+EOOUwfKcPwBo4xd9LIU41knzaGyJCR5WTv23yclNZlL6GCs0F34wu+r8+ro6EG3P3yDhoG/9vzP2CuhxdZ4JSiD	8.9%
certifications_c	integer	—	10	8.9%
phone_numbers	array	Person phone number.	{"raw_number": "+1 703-602-1717", "sanitized_number": "17036021717"}	5.1%
awards	array	List of awards for profile.	{"title": "AIA Architecture Indiana Finalist", "issuer": "American Institute of Architects", "description": "", "date":	2.4%
publications	array	List of publications for profile.	H4sIAHInS2kC/z1QMW7DMAz8iqC5BmzHzdC5S4cGBdItCAxVZiICtmSQ1GAU/XvJoO4k3fF4R9zl2wvKDP7F+XeQVCZXbg5YcAmC+e4kgWMhYG70CZgVBQFT	1.4%
publications_c	integer	—	1	1.4%
patents	array	List of patents for profile.	H4sIACYoS2kC/+VZ627juBV+FSJAjRnATuzYzm0QFLKtzBobW64vs51dLAJKoiN2JFJLUnE9iwX6Ev3fv32N9k36JD2kLNmy5Ti3DooWGEwSkufKw/N9pH76	0.1%
patents_c	integer	—	3	0.1%
current_industry	string	Industry, inferred from the person's current company.	—	0.0%
functional_area	string	Functional area (department) of the person.	—	0.0%
memberships	array	List of memberships for profile.	—	0.0%
memberships_c	integer	—	—	0.0%
personal_email	array	Person primary personal email.	—	0.0%
prior_industries	array	List of prior industries of the person.	—	0.0%
profile_picture	string	Link to profile picture on our S3.	—	0.0%
summary	string	Summary from LinkedIn (about section).	—	0.0%

Fields showing 0% are present in the schema but not currently populated for this collection.

Sample records

Real records from the live dataset.

Real records with identity fields redacted. Request a sample to validate against your use case.

Country coverage

Top countries by record count.

Record counts and per-field fill rates across the largest countries in this dataset.

Country	Records	linkedin_url fill	first_name fill	location fill	last_name fill
1United States	171,313,819	100.0%	100.0%	99.9%	99.2%
2India	82,502,099	100.0%	99.9%	99.3%	98.2%
3Brazil	44,079,433	100.0%	100.0%	98.4%	99.4%
4United Kingdom	29,198,439	100.0%	100.0%	99.9%	99.2%
5France	23,234,014	100.0%	100.0%	99.9%	99.1%
6China	19,520,290	100.0%	100.0%	99.7%	25.1%
7Canada	18,643,768	100.0%	99.9%	99.9%	99.1%
8Italy	15,002,699	100.0%	100.0%	100.0%	99.6%
9Indonesia	14,613,928	100.0%	99.9%	98.2%	98.5%
10Mexico	13,994,683	100.0%	100.0%	98.1%	99.5%
11Spain	13,549,540	100.0%	100.0%	99.9%	99.4%
12Germany	12,138,905	100.0%	100.0%	99.9%	99.3%
13Australia	11,419,099	100.0%	100.0%	99.9%	99.0%
14Turkey	9,684,442	100.0%	100.0%	98.7%	99.3%
15Netherlands	9,210,647	100.0%	99.9%	99.9%	99.3%
16Colombia	8,211,487	100.0%	100.0%	98.7%	99.7%
17South Africa	8,026,936	100.0%	100.0%	98.8%	99.1%
18Argentina	7,734,114	100.0%	100.0%	97.6%	99.7%
19Philippines	7,441,943	100.0%	99.9%	98.5%	99.1%
20Pakistan	5,683,594	100.0%	99.9%	98.7%	98.8%

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