Dataset Statistics & Coverage - Data Legion

Statistics on field coverage, confidence distribution, and dataset composition.

Dataset Snapshot

Total contacts: 188,866,145

Confidence Distribution (linkage confidence)

Attribute	high	moderate	low	Total
Phones	61,153,103	11,380,661	14,524,269	87,058,033
Emails	155,600,115	48,191,246	67,517,964	271,309,325
Locations	163,540,816	86,450,904	88,942,231	338,933,951
Socials	137,482,969	15,729,422	11,321,113	164,533,504

Coverage Summary

Field	Type	Description	Nullable	Fill Rate	Count
`legion_id`	string	Stable contact identifier	No	100%	188,866,145
`full_name`	string	All name parts we hold: first, middle (or initial), last, suffix	No	100%	188,866,145
`first_name`	string	First name; NULL when the only value was a title or suffix (mr, jr)	Yes	100%	188,794,163
`middle_name`	string	Middle name (non-initial)	Yes	4%	7,485,248
`middle_initial`	string	Middle initial (provided or derived)	Yes	14%	26,338,869
`last_name`	string	Last name	No	100%	188,866,145
`last_initial`	string	Last name initial	No	100%	188,866,145
`suffix`	string	Name suffix	Yes	1%	2,399,169
`prefix`	string	Name prefix	Yes	0%	197,982
`sex`	enum	Sex value	Yes	90%	170,846,018
`birth_date`	string	Birth date (precision preserved)	Yes	34%	64,968,832
`birth_year`	integer	Birth year	Yes	34%	64,968,832
`birth_month`	integer	Birth month	Yes	34%	64,894,948
`birth_day`	integer	Birth day	Yes	1%	1,825,354
`age`	integer	Age in years	Yes	34%	64,968,832
`job_title`	string	Current job title	Yes	66%	124,751,921
`company_legion_id`	string	Current company Data Legion ID	Yes	45%	85,927,193
`company_name`	string	Current company name	Yes	64%	121,765,007
`company_domain`	string	Current company website domain	Yes	43%	82,020,026
`company_linkedin_url`	string	Current company LinkedIn URL	Yes	46%	86,285,852
`company_linkedin_id`	string	Current company LinkedIn numeric ID	Yes	45%	85,917,517
`company_industry`	enum	Current company industry (see enums/industry.csv)	Yes	44%	82,350,205
`company_size`	enum	Current company size (see enums/company_size.csv)	Yes	45%	85,928,619
`seniority_level`	enum	Seniority level (c_level/owner/partner/vp/director/manager/senior/junior/training/intern)	Yes	28%	52,202,158
`job_function`	enum	Job function (engineering/sales/marketing/healthcare/education/etc.)	Yes	66%	124,672,875
`expense_category`	enum	P&L expense category (see enums/expense_category.csv)	Yes	66%	124,672,875
`is_decision_maker`	boolean	True if seniority is c_level/owner/partner/vp/director	Yes	100%	188,866,145
`is_platform_worker`	boolean	True if current job is platform/gig usage (e.g. Airbnb host, Uber driver), not employment	Yes	100%	188,866,145
`years_of_experience`	integer	Years since earliest job start date	Yes	42%	78,901,506
`avg_tenure_months`	number	Average job tenure in months across all experience entries	Yes	42%	78,842,992
`highest_degree_level`	enum	Highest education level (doctorate/masters/bachelors/associates/high_school)	Yes	28%	52,393,881
`work_email`	string	Current work email address	Yes	33%	63,140,378
`mobile_phone`	string	Current mobile phone number	Yes	25%	46,926,184
`city`	string	City of the current location; else of the most recently seen location with city and state	Yes	99%	186,780,445
`state`	string	State/province of the same location as city	Yes	99%	187,157,876
`state_code`	string	State ISO 3166-2 code of the same location (e.g., US-CA, GB-ENG)	Yes	99%	187,155,373
`country`	string	Country of the same location as city	Yes	99%	187,165,760
`country_code`	string	Country ISO 3166-1 alpha-2 code of the same location (e.g., US, GB)	Yes	99%	187,165,710
`linkedin_url`	string	Primary LinkedIn profile URL	Yes	68%	129,166,999
`linkedin_id`	string	LinkedIn numeric member ID	Yes	66%	124,988,817
`linkedin_followers`	integer	LinkedIn follower count	Yes	63%	119,304,363
`linkedin_connections`	integer	LinkedIn connection count	Yes	63%	119,302,725
`headline`	object	Object containing headline text and raw snippets	No	65%	122,270,648
`headline.cleaned`	string	Headline text	Yes	65%	122,270,648
`headline.raw[]`	array	Headline raw snippets	No	65%	122,270,648
`summary`	object	Object containing summary text and raw snippets	No	20%	38,572,879
`summary.cleaned`	string	Summary text	Yes	20%	38,572,879
`summary.raw[]`	array	Summary raw snippets	No	20%	38,572,879
`skills[]`	array	Array of skills objects	No	26%	49,376,891
`skills[].raw[]`	array	Skills raw snippets	No	100%	1,041,327,470
`skills[].cleaned`	string	Skills text	Yes	100%	1,041,327,470
`languages[]`	array	Array of languages objects	No	12%	21,893,204
`languages[].raw[]`	array	Languages raw snippets	No	100%	35,112,898
`languages[].cleaned`	string	Languages text	Yes	100%	35,112,898
`languages[].proficiency`	enum	Languages proficiency	Yes	39%	13,712,946
`certifications[]`	array	Array of certification objects	No	8%	14,492,184
`certifications[].name.cleaned`	string	Normalized certification name	Yes	100%	39,404,468
`certifications[].name.raw[]`	array	Raw certification name variants	No	100%	39,404,468
`certifications[].institution.cleaned`	string	Normalized issuing institution	Yes	95%	37,450,679
`certifications[].institution.raw[]`	array	Raw issuing institution variants	No	95%	37,450,679
`certifications[].credential_id`	string	Credential ID	Yes	15%	5,950,877
`certifications[].issue_date`	string	Issue date	Yes	79%	31,227,724
`certifications[].expiration_date`	string	Expiration date	Yes	11%	4,468,958
`phones[]`	array	Contact has ≥1 phone	No	37%	69,831,360
`phones[].type`	enum	Phone type	No	100%	87,058,033
`phones[].number`	string	Phone number present	No	100%	87,058,033
`phones[].current`	boolean	Phone flagged current	No	100%	87,058,033
`phones[].confidence`	enum	Phone confidence bucket	No	100%	87,058,033
`phones[].num_sources`	integer	Number of sources that contributed to this phone	No	100%	87,058,033
`phones[].last_seen`	string	Phone last-seen date	Yes	75%	65,559,526
`emails[]`	array	Contact has ≥1 email	No	80%	151,458,948
`emails[].address`	string	Email address	No	100%	271,309,325
`emails[].type`	enum	Email type	Yes	100%	271,309,325
`emails[].current`	boolean	Current status (always false for personal emails)	Yes	100%	271,309,325
`emails[].validated`	boolean	Email validated	No	100%	271,309,325
`emails[].validation_status`	enum	Validation status	Yes	10%	27,194,231
`emails[].confidence`	enum	Email confidence bucket	No	100%	271,309,325
`emails[].num_sources`	integer	Number of sources that contributed to this email	No	100%	271,309,325
`emails[].last_seen`	string	Email last-seen date	Yes	90%	244,044,810
`emails[].hash_sha256`	string	SHA-256 hash of normalized email address	Yes	100%	271,309,325
`emails[].hash_sha1`	string	SHA-1 hash of normalized email address	Yes	100%	271,309,325
`emails[].hash_md5`	string	MD5 hash of normalized email address	Yes	100%	271,309,325
`locations[]`	array	Contact has ≥1 normalized locations	No	100%	188,389,304
`locations[].street_address`	string	Street line present	Yes	55%	186,985,236
`locations[].address_line_2`	string	Address line 2 present	Yes	9%	31,018,073
`locations[].city`	string	City present	Yes	100%	337,334,712
`locations[].state`	string	State/province name (lowercase)	Yes	97%	328,117,846
`locations[].state_code`	string	ISO 3166-2 code (e.g., US-NY)	Yes	97%	328,112,083
`locations[].country`	string	Country name (lowercase)	Yes	100%	338,660,896
`locations[].country_code`	string	ISO 3166-1 alpha-2 (e.g., US)	Yes	100%	338,656,395
`locations[].postal_code`	string	Postal code present	Yes	66%	225,363,268
`locations[].postal_code_4`	string	ZIP+4 suffix (4-digit, US only)	Yes	31%	103,586,021
`locations[].continent`	string	Continent name	Yes	100%	338,656,395
`locations[].continent_code`	string	Continent code	Yes	100%	338,656,395
`locations[].geo`	string	Latitude,longitude coordinates	Yes	61%	207,435,542
`locations[].raw[]`	array	Raw location from the source	No	100%	338,933,883
`locations[].current`	boolean	Location flagged current	No	100%	338,933,951
`locations[].confidence`	enum	Location confidence bucket	Yes	100%	338,933,951
`locations[].num_sources`	integer	Number of sources that contributed to this location	No	100%	338,933,951
`locations[].last_seen`	string	Location last-seen date	Yes	76%	257,003,350
`experience[]`	array	Experience entries	No	70%	132,616,951
`experience[].title`	object	Experience title object	Yes	100%	437,482,392
`experience[].title.cleaned`	string	Experience title cleaned value	Yes	100%	436,786,861
`experience[].title.raw[]`	array	Experience title raw snippets	Yes	100%	436,858,444
`experience[].organization`	object	Experience organization object	Yes	100%	437,482,392
`experience[].organization.legion_id`	string	Experience organization Data Legion company ID	Yes	75%	330,218,364
`experience[].organization.name`	object	Experience organization name object	Yes	100%	437,482,392
`experience[].organization.name.cleaned`	string	Experience organization name cleaned value	Yes	99%	432,811,262
`experience[].organization.name.raw[]`	array	Experience organization name raw snippets	Yes	99%	432,699,062
`experience[].organization.website`	string	Experience organization website URL	Yes	72%	315,941,696
`experience[].organization.linkedin_url`	string	Experience organization LinkedIn URL	Yes	76%	331,405,481
`experience[].organization.linkedin_id`	string	Experience organization LinkedIn numeric ID	Yes	75%	330,208,645
`experience[].organization.industry`	enum	Experience organization industry (see enums/industry.csv)	Yes	73%	318,905,487
`experience[].organization.size`	enum	Experience organization size (see enums/company_size.csv)	Yes	75%	330,185,421
`experience[].start_date`	string	Experience start date	Yes	85%	372,227,526
`experience[].end_date`	string	Experience end date	Yes	64%	277,851,190
`experience[].current`	boolean	Experience current flag	Yes	85%	372,605,832
`experience[].tenure_months`	integer	Job tenure in months (calculated from start_date and end_date)	Yes	85%	372,203,878
`experience[].seniority_level`	enum	Seniority level classification (see enums/seniority_level.csv)	Yes	44%	193,405,586
`experience[].job_function`	enum	Job function classification (see enums/job_function.csv)	Yes	100%	436,523,632
`experience[].expense_category`	enum	P&L expense category (see enums/expense_category.csv)	Yes	100%	436,523,632
`experience[].is_decision_maker`	boolean	True if seniority is c_level/owner/partner/vp/director	Yes	100%	437,482,392
`experience[].is_platform_worker`	boolean	True if role is platform/gig usage (e.g. Airbnb host, Uber driver), not employment	No	100%	437,482,392
`experience[].description`	object	Experience description object	Yes	100%	437,482,392
`experience[].description.cleaned`	string	Experience description text	Yes	45%	195,998,968
`experience[].description.raw[]`	array	Experience description raw snippets	Yes	45%	196,052,113
`education[]`	array	Education entries	No	40%	74,847,191
`education[].organization`	object	Education organization object	Yes	100%	159,649,800
`education[].organization.name`	object	Education organization name object	Yes	100%	159,649,800
`education[].organization.name.cleaned`	string	Education organization name cleaned value	Yes	100%	159,649,792
`education[].organization.name.raw[]`	array	Education organization name raw snippets	Yes	100%	159,649,800
`education[].organization.linkedin_url`	string	Education organization LinkedIn URL	Yes	80%	127,296,294
`education[].organization.website`	string	Education organization website URL	Yes	54%	86,835,811
`education[].degree`	object	Education degree object	Yes	100%	159,649,800
`education[].degree.cleaned`	string	Education degree cleaned value	Yes	69%	110,453,712
`education[].degree.raw[]`	array	Education degree raw snippets	Yes	69%	110,453,760
`education[].degree_level`	enum	Degree level (see enums/degree_level.csv)	Yes	56%	88,959,081
`education[].field_of_study`	object	Field of study object	Yes	100%	159,649,800
`education[].field_of_study.cleaned`	string	Field of study cleaned value	Yes	59%	93,856,566
`education[].field_of_study.raw[]`	array	Field of study raw snippets	Yes	59%	93,856,595
`education[].start_date`	string	Education start date	Yes	75%	119,791,678
`education[].end_date`	string	Education end date	Yes	77%	122,822,912
`education[].current`	boolean	Whether currently enrolled (True=ongoing, False=completed, null=unknown)	Yes	100%	159,649,800
`socials[]`	array	Social links	No	71%	135,033,540
`socials[].network`	enum	Social network	No	100%	164,533,504
`socials[].url`	string	Social URL	No	100%	164,533,504
`socials[].id`	string	Social ID	Yes	91%	149,020,093
`socials[].username`	string	Social username	Yes	100%	164,533,504
`socials[].current`	boolean	Whether this is the person’s current profile on the network; the current LinkedIn profile is linkedin_url	No	100%	164,533,504
`socials[].confidence`	enum	Social confidence bucket	No	100%	164,533,504
`socials[].num_sources`	integer	Number of sources that list this profile	No	100%	164,533,504
`socials[].last_seen`	string	Social last-seen date	Yes	74%	121,686,151
`num_sources`	integer	Number of data sources for this contact	No	100%	188,866,145
`current_jobs_last_updated`	string	Date when current job data last changed	Yes	37%	69,882,673
`current_jobs_last_confirmed`	string	Date when current job data was last confirmed	Yes	37%	69,882,673
`current_location_last_updated`	string	Date when current location data last changed	Yes	84%	158,967,963
`current_location_last_confirmed`	string	Date when current location data was last confirmed	Yes	84%	158,751,754
`last_seen`	string	Date when this record was last seen	Yes	96%	180,677,038
`build_version`	string	Build version identifier	No	100%	188,866,145

Schema Example - See a complete example record
Field Reference - Detailed descriptions of all fields
Enum Values - All possible enum values
Array Ordering - How arrays are sorted
Data Quality - Learn about our quality processes