Resume Stats

Description

The Resume Slice Dataset is a subset of our full Person Dataset and is composed of all the records containing a Linkedin URL. The table below summarizes some key statistics and fill rates for fields within this dataset. Restricted Fields are premium fields that are not accessible by default.

Common Use Cases
Candidate Search, Prospect Search, Custom Audiences, Career Path Prediction/Labor Force Modeling, Investment Sourcing

Field	Count	Numeric	Fill Percentage	Restricted Field
`Total`	684,434,661	684434661	100.0%
`birth_date`	4,424,444	4424444	0.6%
`birth_year`	8,478,127	8478127	1.2%
`certifications`	25,960,981	25960981	3.8%	T
`certifications.end_date`	5,543,885	5543885	0.8%	T
`certifications.name`	25,960,981	25960981	3.8%	T
`certifications.organization`	21,413,139	21413139	3.1%	T
`certifications.start_date`	17,274,274	17274274	2.5%	T
`countries`	625,522,532	625522532	91.4%
`education`	219,405,058	219405058	32.1%
`education.degrees`	115,894,135	115894135	16.9%
`education.end_date`	187,839,296	187839296	27.4%
`education.gpa`	3,809,019	3809019	0.6%
`education.majors`	127,348,154	127348154	18.6%
`education.minors`	1,219,284	1219284	0.2%
`education.raw`	182,584,953	182584953	26.7%	T
`education.school`	212,770,616	212770616	31.1%
`education.school.domain`	177,278,225	177278225	25.9%
`education.school.facebook_url`	134,387,238	134387238	19.6%
`education.school.id`	180,882,305	180882305	26.4%
`education.school.linkedin_id`	178,890,877	178890877	26.1%
`education.school.linkedin_url`	178,890,877	178890877	26.1%
`education.school.location`	179,736,796	179736796	26.3%
`education.school.location.continent`	179,736,796	179736796	26.3%
`education.school.location.country`	179,736,796	179736796	26.3%
`education.school.location.locality`	137,319,595	137319595	20.1%
`education.school.location.name`	179,736,796	179736796	26.3%
`education.school.location.region`	145,156,538	145156538	21.2%
`education.school.name`	212,756,717	212756717	31.1%
`education.school.raw`	208,128,604	208128604	30.4%	T
`education.school.twitter_url`	128,502,815	128502815	18.8%
`education.school.type`	203,203,763	203203763	29.7%
`education.school.website`	177,278,225	177278225	25.9%
`education.start_date`	187,869,522	187869522	27.4%
`education.summary`	29,673,467	29673467	4.3%	T
`emails`	159,543,487	159543487	23.3%
`emails.address`	159,543,487	159543487	23.3%
`emails.first_seen`	159,543,487	159543487	23.3%	T
`emails.last_seen`	159,543,487	159543487	23.3%	T
`emails.num_sources`	159,543,487	159543487	23.3%	T
`emails.type`	141,213,094	141213094	20.6%
`experience`	488,238,002	488238002	71.3%
`experience.company`	427,740,066	427740066	62.5%
`experience.company.facebook_url`	77,518,229	77518229	11.3%
`experience.company.founded`	247,033,497	247033497	36.1%
`experience.company.fuzzy_match`	427,740,066	427740066	62.5%	T
`experience.company.id`	316,226,338	316226338	46.2%
`experience.company.industry`	305,762,985	305762985	44.7%
`experience.company.linkedin_id`	304,767,593	304767593	44.5%
`experience.company.linkedin_url`	316,226,338	316226338	46.2%
`experience.company.location`	296,339,488	296339488	43.3%
`experience.company.location.address_line_2`	30,763,495	30763495	4.5%
`experience.company.location.continent`	296,339,488	296339488	43.3%
`experience.company.location.country`	296,339,488	296339488	43.3%
`experience.company.location.geo`	237,862,552	237862552	34.8%
`experience.company.location.locality`	251,229,794	251229794	36.7%
`experience.company.location.metro`	122,857,498	122857498	18.0%
`experience.company.location.name`	296,339,488	296339488	43.3%
`experience.company.location.postal_code`	128,529,684	128529684	18.8%
`experience.company.location.region`	259,605,878	259605878	37.9%
`experience.company.location.street_address`	146,400,207	146400207	21.4%
`experience.company.name`	427,740,066	427740066	62.5%
`experience.company.raw`	427,586,959	427586959	62.5%	T
`experience.company.size`	316,226,338	316226338	46.2%
`experience.company.ticker`	38,088,518	38088518	5.6%	T
`experience.company.twitter_url`	122,547,256	122547256	17.9%
`experience.company.type`	316,226,338	316226338	46.2%	T
`experience.company.website`	276,806,001	276806001	40.4%
`experience.end_date`	174,377,541	174377541	25.5%
`experience.first_seen`	488,238,002	488238002	71.3%	T
`experience.is_primary`	488,238,002	488238002	71.3%
`experience.last_seen`	488,238,002	488238002	71.3%	T
`experience.location_names`	128,447,122	128447122	18.8%
`experience.num_sources`	488,238,002	488238002	71.3%	T
`experience.start_date`	252,820,323	252820323	36.9%
`experience.summary`	112,619,323	112619323	16.5%	T
`experience.title`	485,151,471	485151471	70.9%
`experience.title.levels`	161,136,407	161136407	23.5%
`experience.title.name`	485,151,471	485151471	70.9%
`experience.title.raw`	485,151,471	485151471	70.9%	T
`experience.title.role`	205,619,885	205619885	30.0%
`experience.title.sub_role`	139,998,914	139998914	20.5%
`facebook_friends`	6,313,968	6313968	0.9%	T
`facebook_id`	29,204,081	29204081	4.3%
`facebook_url`	28,130,453	28130453	4.1%
`facebook_username`	28,130,453	28130453	4.1%
`first_name`	684,434,661	684434661	100.0%
`first_seen`	684,434,661	684434661	100.0%	T
`full_name`	684,434,661	684434661	100.0%
`gender`	476,495,391	476495391	69.6%
`github_url`	974,944	974944	0.1%
`github_username`	974,944	974944	0.1%
`id`	684,434,661	684434661	100.0%
`industry`	400,105,907	400105907	58.5%
`inferred_salary`	231,527,889	231527889	33.8%	T
`inferred_years_experience`	260,321,165	260321165	38.0%	T
`interests`	34,198,141	34198141	5.0%
`job_company_facebook_url`	34,600,860	34600860	5.1%
`job_company_founded`	175,728,075	175728075	25.7%
`job_company_id`	249,027,540	249027540	36.4%
`job_company_industry`	238,130,627	238130627	34.8%
`job_company_linkedin_id`	233,678,850	233678850	34.1%
`job_company_linkedin_url`	249,027,540	249027540	36.4%
`job_company_location_address_line_2`	13,245,159	13245159	1.9%
`job_company_location_continent`	227,082,773	227082773	33.2%
`job_company_location_country`	227,082,773	227082773	33.2%
`job_company_location_geo`	166,055,661	166055661	24.3%
`job_company_location_locality`	179,759,832	179759832	26.3%
`job_company_location_metro`	79,062,450	79062450	11.6%
`job_company_location_name`	227,082,773	227082773	33.2%
`job_company_location_postal_code`	82,916,262	82916262	12.1%
`job_company_location_region`	188,614,858	188614858	27.6%
`job_company_location_street_address`	93,409,323	93409323	13.6%
`job_company_name`	378,374,710	378374710	55.3%
`job_company_size`	249,027,540	249027540	36.4%
`job_company_ticker`	18,109,504	18109504	2.6%	T
`job_company_twitter_url`	61,492,297	61492297	9.0%
`job_company_type`	249,027,540	249027540	36.4%	T
`job_company_website`	202,077,270	202077270	29.5%
`job_history`	488,892,390	488892390	71.4%	T
`job_history.company_id`	319,293,374	319293374	46.7%	T
`job_history.company_name`	428,624,567	428624567	62.6%	T
`job_history.first_seen`	488,892,390	488892390	71.4%	T
`job_history.last_seen`	488,892,390	488892390	71.4%	T
`job_history.num_sources`	488,892,390	488892390	71.4%	T
`job_history.title`	485,825,088	485825088	71.0%	T
`job_last_updated`	448,501,325	448501325	65.5%
`job_start_date`	193,037,244	193037244	28.2%
`job_summary`	49,630,919	49630919	7.3%	T
`job_title`	447,333,194	447333194	65.4%
`job_title_levels`	110,961,415	110961415	16.2%
`job_title_role`	142,626,133	142626133	20.8%
`job_title_sub_role`	83,118,151	83118151	12.1%
`languages`	66,369,831	66369831	9.7%	T
`languages.name`	66,369,831	66369831	9.7%	T
`languages.proficiency`	16,503,473	16503473	2.4%	T
`last_initial`	684,434,661	684434661	100.0%
`last_name`	677,601,023	677601023	99.0%
`linkedin_connections`	494,470,607	494470607	72.2%	T
`linkedin_id`	465,785,515	465785515	68.1%
`linkedin_url`	684,434,661	684434661	100.0%
`linkedin_username`	684,434,661	684434661	100.0%
`location_address_line_2`	3,345,721	3345721	0.5%
`location_continent`	625,516,803	625516803	91.4%
`location_country`	625,509,808	625509808	91.4%
`location_geo`	350,907,775	350907775	51.3%
`location_last_updated`	591,111,196	591111196	86.4%
`location_locality`	370,672,910	370672910	54.2%
`location_metro`	130,792,486	130792486	19.1%
`location_name`	625,516,803	625516803	91.4%
`location_names`	375,194,596	375194596	54.8%
`location_postal_code`	20,307,781	20307781	3.0%
`location_region`	406,293,239	406293239	59.4%
`location_street_address`	20,235,188	20235188	3.0%
`middle_initial`	116,914,345	116914345	17.1%
`middle_name`	107,453,133	107453133	15.7%
`mobile_phone`	14,419,097	14419097	2.1%
`name_aliases`	18,197,589	18197589	2.7%	T
`num_records`	684,434,661	684434661	100.0%	T
`num_sources`	684,434,661	684434661	100.0%	T
`personal_emails`	87,102,972	87102972	12.7%
`phone_numbers`	27,455,629	27455629	4.0%
`phones`	27,455,629	27455629	4.0%	T
`phones.first_seen`	27,455,629	27455629	4.0%	T
`phones.last_seen`	27,455,629	27455629	4.0%	T
`phones.num_sources`	27,455,629	27455629	4.0%	T
`phones.number`	27,455,629	27455629	4.0%	T
`possible_emails`	69,006,478	69006478	10.1%	T
`possible_emails.address`	69,006,478	69006478	10.1%	T
`possible_emails.first_seen`	69,006,478	69006478	10.1%	T
`possible_emails.last_seen`	69,006,478	69006478	10.1%	T
`possible_emails.num_sources`	69,006,478	69006478	10.1%	T
`possible_emails.type`	57,860,710	57860710	8.5%	T
`possible_profiles`	17,321,323	17321323	2.5%	T
`possible_profiles.first_seen`	17,321,323	17321323	2.5%	T
`possible_profiles.id`	12,267,552	12267552	1.8%	T
`possible_profiles.last_seen`	17,321,323	17321323	2.5%	T
`possible_profiles.network`	17,321,323	17321323	2.5%	T
`possible_profiles.num_sources`	17,321,323	17321323	2.5%	T
`possible_profiles.url`	17,315,161	17315161	2.5%	T
`possible_profiles.username`	16,467,494	16467494	2.4%	T
`profiles`	684,434,661	684434661	100.0%
`profiles.first_seen`	684,434,661	684434661	100.0%	T
`profiles.id`	469,176,015	469176015	68.5%
`profiles.last_seen`	684,434,661	684434661	100.0%	T
`profiles.network`	684,434,661	684434661	100.0%
`profiles.num_sources`	684,434,661	684434661	100.0%	T
`profiles.url`	684,434,661	684434661	100.0%
`profiles.username`	684,434,661	684434661	100.0%
`regions`	409,971,039	409971039	59.9%
`skills`	145,063,623	145063623	21.2%
`street_addresses`	25,582,324	25582324	3.7%
`street_addresses.address_line_2`	13,123,368	13123368	1.9%
`street_addresses.continent`	25,582,324	25582324	3.7%
`street_addresses.country`	25,582,324	25582324	3.7%
`street_addresses.first_seen`	25,582,324	25582324	3.7%	T
`street_addresses.geo`	25,414,890	25414890	3.7%
`street_addresses.last_seen`	25,582,324	25582324	3.7%	T
`street_addresses.locality`	25,582,324	25582324	3.7%
`street_addresses.metro`	23,860,904	23860904	3.5%
`street_addresses.name`	25,582,324	25582324	3.7%
`street_addresses.num_sources`	25,582,324	25582324	3.7%	T
`street_addresses.postal_code`	25,477,798	25477798	3.7%
`street_addresses.region`	25,582,324	25582324	3.7%
`street_addresses.street_address`	25,582,324	25582324	3.7%
`summary`	231,422,635	231422635	33.8%	T
`twitter_url`	9,640,891	9640891	1.4%
`twitter_username`	9,640,891	9640891	1.4%
`version_status`	0	0	0.0%
`version_status.contains`	0	0	0.0%
`version_status.current_version`	0	0	0.0%
`version_status.previous_version`	0	0	0.0%
`version_status.status`	0	0	0.0%
`work_email`	47,503,715	47503715	6.9%