Mobile Phone Stats

Description

The Mobile Phone Slice Dataset is a subset of our full Person Dataset and is composed of all the records containing a mobile phone number. 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
Direct Dial Outreach, Caller ID

Field	Count	Numeric	Fill Percentage	Restricted Field
`Total`	441,965,737	441965737	100.0%
`birth_date`	19,852,122	19852122	4.5%
`birth_year`	38,804,307	38804307	8.8%
`certifications`	1,611,844	1611844	0.4%	T
`certifications.end_date`	430,896	430896	0.1%	T
`certifications.name`	1,611,844	1611844	0.4%	T
`certifications.organization`	1,349,119	1349119	0.3%	T
`certifications.start_date`	1,108,849	1108849	0.3%	T
`countries`	208,259,139	208259139	47.1%
`education`	89,134,074	89134074	20.2%
`education.degrees`	8,494,429	8494429	1.9%
`education.end_date`	11,827,582	11827582	2.7%
`education.gpa`	406,609	406609	0.1%
`education.majors`	17,732,725	17732725	4.0%
`education.minors`	159,537	159537	0.0%
`education.raw`	24,183,288	24183288	5.5%	T
`education.school`	88,434,909	88434909	20.0%
`education.school.domain`	40,380,124	40380124	9.1%
`education.school.facebook_url`	28,478,779	28478779	6.4%
`education.school.id`	40,666,453	40666453	9.2%
`education.school.linkedin_id`	39,579,389	39579389	9.0%
`education.school.linkedin_url`	39,579,389	39579389	9.0%
`education.school.location`	40,294,585	40294585	9.1%
`education.school.location.continent`	40,294,585	40294585	9.1%
`education.school.location.country`	40,294,585	40294585	9.1%
`education.school.location.locality`	33,786,790	33786790	7.6%
`education.school.location.name`	40,294,585	40294585	9.1%
`education.school.location.region`	34,919,437	34919437	7.9%
`education.school.name`	88,434,831	88434831	20.0%
`education.school.raw`	88,413,772	88413772	20.0%	T
`education.school.twitter_url`	27,835,731	27835731	6.3%
`education.school.type`	81,086,758	81086758	18.3%
`education.school.website`	40,380,124	40380124	9.1%
`education.start_date`	6,837,123	6837123	1.5%
`education.summary`	2,750,299	2750299	0.6%	T
`emails`	32,819,523	32819523	7.4%
`emails.address`	32,819,523	32819523	7.4%
`emails.first_seen`	32,819,523	32819523	7.4%	T
`emails.last_seen`	32,819,523	32819523	7.4%	T
`emails.num_sources`	32,819,523	32819523	7.4%	T
`emails.type`	30,828,762	30828762	7.0%
`experience`	87,395,969	87395969	19.8%
`experience.company`	85,497,986	85497986	19.3%
`experience.company.facebook_url`	10,647,211	10647211	2.4%
`experience.company.founded`	34,582,321	34582321	7.8%
`experience.company.fuzzy_match`	85,497,986	85497986	19.3%	T
`experience.company.id`	46,755,109	46755109	10.6%
`experience.company.industry`	45,241,384	45241384	10.2%
`experience.company.linkedin_id`	45,029,278	45029278	10.2%
`experience.company.linkedin_url`	46,755,109	46755109	10.6%
`experience.company.location`	44,103,997	44103997	10.0%
`experience.company.location.address_line_2`	4,554,939	4554939	1.0%
`experience.company.location.continent`	44,103,997	44103997	10.0%
`experience.company.location.country`	44,103,997	44103997	10.0%
`experience.company.location.geo`	37,541,724	37541724	8.5%
`experience.company.location.locality`	38,984,946	38984946	8.8%
`experience.company.location.metro`	27,420,776	27420776	6.2%
`experience.company.location.name`	44,103,997	44103997	10.0%
`experience.company.location.postal_code`	28,692,680	28692680	6.5%
`experience.company.location.region`	40,276,406	40276406	9.1%
`experience.company.location.street_address`	30,296,654	30296654	6.9%
`experience.company.name`	85,497,986	85497986	19.3%
`experience.company.raw`	85,478,749	85478749	19.3%	T
`experience.company.size`	46,755,109	46755109	10.6%
`experience.company.ticker`	7,799,951	7799951	1.8%	T
`experience.company.twitter_url`	17,551,461	17551461	4.0%
`experience.company.type`	46,755,109	46755109	10.6%	T
`experience.company.website`	40,779,591	40779591	9.2%
`experience.end_date`	16,335,217	16335217	3.7%
`experience.first_seen`	87,395,969	87395969	19.8%	T
`experience.is_primary`	87,395,969	87395969	19.8%
`experience.last_seen`	87,395,969	87395969	19.8%	T
`experience.location_names`	28,495,064	28495064	6.4%
`experience.num_sources`	87,395,969	87395969	19.8%	T
`experience.start_date`	40,090,998	40090998	9.1%
`experience.summary`	10,870,904	10870904	2.5%	T
`experience.title`	53,661,665	53661665	12.1%
`experience.title.levels`	17,334,065	17334065	3.9%
`experience.title.name`	53,661,665	53661665	12.1%
`experience.title.raw`	53,661,665	53661665	12.1%	T
`experience.title.role`	20,193,945	20193945	4.6%
`experience.title.sub_role`	13,924,891	13924891	3.2%
`facebook_friends`	12,364,440	12364440	2.8%	T
`facebook_id`	425,893,591	425893591	96.4%
`facebook_url`	220,693,908	220693908	49.9%
`facebook_username`	220,693,908	220693908	49.9%
`first_name`	441,965,737	441965737	100.0%
`first_seen`	441,965,737	441965737	100.0%	T
`full_name`	441,965,737	441965737	100.0%
`gender`	322,571,995	322571995	73.0%
`github_url`	209,424	209424	0.0%
`github_username`	209,424	209424	0.0%
`id`	441,965,737	441965737	100.0%
`industry`	9,204,517	9204517	2.1%
`inferred_salary`	12,650,923	12650923	2.9%	T
`inferred_years_experience`	41,230,148	41230148	9.3%	T
`interests`	7,205,328	7205328	1.6%
`job_company_facebook_url`	2,359,687	2359687	0.5%
`job_company_founded`	10,489,305	10489305	2.4%
`job_company_id`	14,441,302	14441302	3.3%
`job_company_industry`	13,996,868	13996868	3.2%
`job_company_linkedin_id`	13,696,137	13696137	3.1%
`job_company_linkedin_url`	14,441,302	14441302	3.3%
`job_company_location_address_line_2`	1,184,442	1184442	0.3%
`job_company_location_continent`	13,703,734	13703734	3.1%
`job_company_location_country`	13,703,734	13703734	3.1%
`job_company_location_geo`	11,433,617	11433617	2.6%
`job_company_location_locality`	11,995,939	11995939	2.7%
`job_company_location_metro`	8,428,519	8428519	1.9%
`job_company_location_name`	13,703,734	13703734	3.1%
`job_company_location_postal_code`	8,880,457	8880457	2.0%
`job_company_location_region`	12,482,765	12482765	2.8%
`job_company_location_street_address`	9,270,935	9270935	2.1%
`job_company_name`	27,320,770	27320770	6.2%
`job_company_size`	14,441,302	14441302	3.3%
`job_company_ticker`	1,587,854	1587854	0.4%	T
`job_company_twitter_url`	4,117,446	4117446	0.9%
`job_company_type`	14,441,302	14441302	3.3%	T
`job_company_website`	12,241,826	12241826	2.8%
`job_history`	87,434,373	87434373	19.8%	T
`job_history.company_id`	48,667,801	48667801	11.0%	T
`job_history.company_name`	85,546,938	85546938	19.4%	T
`job_history.first_seen`	87,434,373	87434373	19.8%	T
`job_history.last_seen`	87,434,373	87434373	19.8%	T
`job_history.num_sources`	87,434,373	87434373	19.8%	T
`job_history.title`	53,700,403	53700403	12.2%	T
`job_last_updated`	8,014,388	8014388	1.8%
`job_start_date`	26,629,775	26629775	6.0%
`job_summary`	4,061,236	4061236	0.9%	T
`job_title`	23,030,430	23030430	5.2%
`job_title_levels`	6,683,238	6683238	1.5%
`job_title_role`	7,912,910	7912910	1.8%
`job_title_sub_role`	4,695,167	4695167	1.1%
`languages`	29,839,870	29839870	6.8%	T
`languages.name`	29,839,870	29839870	6.8%	T
`languages.proficiency`	569,697	569697	0.1%	T
`last_initial`	441,965,737	441965737	100.0%
`last_name`	441,964,524	441964524	100.0%
`linkedin_connections`	19,361,096	19361096	4.4%	T
`linkedin_id`	14,389,989	14389989	3.3%
`linkedin_url`	15,758,951	15758951	3.6%
`linkedin_username`	15,758,951	15758951	3.6%
`location_address_line_2`	5,543,150	5543150	1.3%
`location_continent`	202,372,138	202372138	45.8%
`location_country`	197,621,001	197621001	44.7%
`location_geo`	139,070,276	139070276	31.5%
`location_last_updated`	37,458,302	37458302	8.5%
`location_locality`	147,395,297	147395297	33.3%
`location_metro`	60,289,448	60289448	13.6%
`location_name`	202,372,138	202372138	45.8%
`location_names`	190,708,768	190708768	43.2%
`location_postal_code`	35,130,046	35130046	7.9%
`location_region`	174,810,723	174810723	39.6%
`location_street_address`	34,661,792	34661792	7.8%
`middle_initial`	93,616,574	93616574	21.2%
`middle_name`	74,109,462	74109462	16.8%
`mobile_phone`	441,965,737	441965737	100.0%
`name_aliases`	15,059,412	15059412	3.4%	T
`num_records`	441,965,737	441965737	100.0%	T
`num_sources`	441,965,737	441965737	100.0%	T
`personal_emails`	27,965,793	27965793	6.3%
`phone_numbers`	441,965,737	441965737	100.0%
`phones`	441,965,737	441965737	100.0%	T
`phones.first_seen`	441,965,737	441965737	100.0%	T
`phones.last_seen`	441,965,737	441965737	100.0%	T
`phones.num_sources`	441,965,737	441965737	100.0%	T
`phones.number`	441,965,737	441965737	100.0%	T
`possible_emails`	7,540,940	7540940	1.7%	T
`possible_emails.address`	7,540,940	7540940	1.7%	T
`possible_emails.first_seen`	7,540,940	7540940	1.7%	T
`possible_emails.last_seen`	7,540,940	7540940	1.7%	T
`possible_emails.num_sources`	7,540,940	7540940	1.7%	T
`possible_emails.type`	5,951,339	5951339	1.3%	T
`possible_profiles`	16,453,302	16453302	3.7%	T
`possible_profiles.first_seen`	16,453,302	16453302	3.7%	T
`possible_profiles.id`	14,999,145	14999145	3.4%	T
`possible_profiles.last_seen`	16,453,302	16453302	3.7%	T
`possible_profiles.network`	16,453,302	16453302	3.7%	T
`possible_profiles.num_sources`	16,453,302	16453302	3.7%	T
`possible_profiles.url`	16,452,642	16452642	3.7%	T
`possible_profiles.username`	7,017,585	7017585	1.6%	T
`profiles`	434,381,816	434381816	98.3%
`profiles.first_seen`	434,381,816	434381816	98.3%	T
`profiles.id`	426,271,127	426271127	96.4%
`profiles.last_seen`	434,381,816	434381816	98.3%	T
`profiles.network`	434,381,816	434381816	98.3%
`profiles.num_sources`	434,381,816	434381816	98.3%	T
`profiles.url`	434,369,593	434369593	98.3%
`profiles.username`	221,936,015	221936015	50.2%
`regions`	204,105,357	204105357	46.2%
`skills`	7,551,638	7551638	1.7%
`street_addresses`	35,766,364	35766364	8.1%
`street_addresses.address_line_2`	20,323,152	20323152	4.6%
`street_addresses.continent`	35,766,364	35766364	8.1%
`street_addresses.country`	35,766,364	35766364	8.1%
`street_addresses.first_seen`	35,766,364	35766364	8.1%	T
`street_addresses.geo`	35,649,110	35649110	8.1%
`street_addresses.last_seen`	35,766,364	35766364	8.1%	T
`street_addresses.locality`	35,766,364	35766364	8.1%
`street_addresses.metro`	33,393,223	33393223	7.6%
`street_addresses.name`	35,766,364	35766364	8.1%
`street_addresses.num_sources`	35,766,364	35766364	8.1%	T
`street_addresses.postal_code`	35,733,179	35733179	8.1%
`street_addresses.region`	35,766,364	35766364	8.1%
`street_addresses.street_address`	35,766,364	35766364	8.1%
`summary`	7,896,489	7896489	1.8%	T
`twitter_url`	1,287,432	1287432	0.3%
`twitter_username`	1,287,432	1287432	0.3%
`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`	2,642,681	2642681	0.6%