Email Stats

Description

The Email Slice Dataset is a subset of our full Person Dataset and is composed of all the records containing at least one email address. The table below summarizes some key statistics and fill rates for fields within this dataset. Premium fields are not accessible by default.

Common Use Cases
Email Enrichment, Sales Lead Generation, Candidate Outreach

Field	Count	Numeric	Fill Percentage	Premium Field
`Total`	842,934,945	842934945	100.0%
`birth_date`	81,306,979	81306979	9.6%
`birth_year`	207,367,833	207367833	24.6%
`certifications`	24,186,413	24186413	2.9%	T
`certifications.end_date`	16,603,546	16603546	2.0%	T
`certifications.name`	24,186,413	24186413	2.9%	T
`certifications.organization`	23,233,954	23233954	2.8%	T
`certifications.start_date`	19,036,264	19036264	2.3%	T
`countries`	625,319,044	625319044	74.2%
`education`	131,050,124	131050124	15.5%
`education.degrees`	72,978,560	72978560	8.7%
`education.end_date`	99,485,663	99485663	11.8%
`education.gpa`	5,237,645	5237645	0.6%
`education.majors`	81,173,945	81173945	9.6%
`education.minors`	1,114,078	1114078	0.1%
`education.raw`	105,604,918	105604918	12.5%	T
`education.school`	127,091,844	127091844	15.1%
`education.school.domain`	98,929,644	98929644	11.7%
`education.school.facebook_url`	76,994,623	76994623	9.1%
`education.school.id`	100,107,666	100107666	11.9%
`education.school.linkedin_id`	99,599,740	99599740	11.8%
`education.school.linkedin_url`	100,049,687	100049687	11.9%
`education.school.location`	97,090,168	97090168	11.5%
`education.school.location.continent`	97,090,168	97090168	11.5%
`education.school.location.country`	97,088,584	97088584	11.5%
`education.school.location.locality`	77,909,904	77909904	9.2%
`education.school.location.name`	97,090,168	97090168	11.5%
`education.school.location.region`	55,373,010	55373010	6.6%
`education.school.name`	127,090,281	127090281	15.1%
`education.school.raw`	126,989,672	126989672	15.1%	T
`education.school.twitter_url`	74,747,257	74747257	8.9%
`education.school.type`	122,248,193	122248193	14.5%
`education.school.website`	98,929,644	98929644	11.7%
`education.start_date`	91,175,483	91175483	10.8%
`education.summary`	26,870,202	26870202	3.2%	T
`emails`	842,934,945	842934945	100.0%
`emails.address`	842,934,945	842934945	100.0%
`emails.first_seen`	842,934,945	842934945	100.0%	T
`emails.last_seen`	842,934,945	842934945	100.0%	T
`emails.num_sources`	842,934,945	842934945	100.0%	T
`emails.type`	744,514,147	744514147	88.3%
`experience`	305,805,232	305805232	36.3%
`experience.company`	298,545,438	298545438	35.4%
`experience.company.facebook_url`	169,291,080	169291080	20.1%
`experience.company.founded`	198,907,305	198907305	23.6%
`experience.company.id`	244,175,900	244175900	29.0%
`experience.company.industry`	236,622,976	236622976	28.1%
`experience.company.linkedin_id`	243,996,361	243996361	28.9%
`experience.company.linkedin_url`	244,175,900	244175900	29.0%
`experience.company.location`	238,635,496	238635496	28.3%
`experience.company.location.address_line_2`	33,103,816	33103816	3.9%
`experience.company.location.continent`	238,635,496	238635496	28.3%
`experience.company.location.country`	238,633,980	238633980	28.3%
`experience.company.location.geo`	213,054,502	213054502	25.3%
`experience.company.location.locality`	213,339,263	213339263	25.3%
`experience.company.location.metro`	157,419,419	157419419	18.7%
`experience.company.location.name`	238,635,496	238635496	28.3%
`experience.company.location.postal_code`	166,626,362	166626362	19.8%
`experience.company.location.region`	223,877,276	223877276	26.6%
`experience.company.location.street_address`	167,064,951	167064951	19.8%
`experience.company.name`	298,545,438	298545438	35.4%
`experience.company.raw`	262,442,257	262442257	31.1%	T
`experience.company.size`	244,175,900	244175900	29.0%
`experience.company.ticker`	66,781,540	66781540	7.9%	T
`experience.company.twitter_url`	171,347,325	171347325	20.3%
`experience.company.type`	244,175,900	244175900	29.0%	T
`experience.company.website`	236,330,034	236330034	28.0%
`experience.end_date`	100,035,525	100035525	11.9%
`experience.first_seen`	305,805,232	305805232	36.3%	T
`experience.is_primary`	305,805,232	305805232	36.3%
`experience.last_seen`	305,805,232	305805232	36.3%	T
`experience.location_names`	151,779,930	151779930	18.0%
`experience.num_sources`	305,805,232	305805232	36.3%	T
`experience.start_date`	130,922,958	130922958	15.5%
`experience.summary`	82,207,182	82207182	9.8%	T
`experience.title`	287,465,114	287465114	34.1%
`experience.title.levels`	141,278,174	141278174	16.8%
`experience.title.name`	287,465,114	287465114	34.1%
`experience.title.raw`	287,465,114	287465114	34.1%	T
`experience.title.role`	146,379,082	146379082	17.4%
`experience.title.sub_role`	101,935,700	101935700	12.1%
`facebook_friends`	8,890,724	8890724	1.1%	T
`facebook_id`	61,342,465	61342465	7.3%
`facebook_url`	54,894,513	54894513	6.5%
`facebook_username`	54,894,513	54894513	6.5%
`first_name`	842,934,945	842934945	100.0%
`first_seen`	842,934,945	842934945	100.0%	T
`full_name`	842,934,945	842934945	100.0%
`github_url`	2,441,219	2441219	0.3%
`github_username`	2,441,219	2441219	0.3%
`id`	842,934,945	842934945	100.0%
`industry`	171,070,027	171070027	20.3%
`inferred_salary`	107,004,043	107004043	12.7%	T
`inferred_years_experience`	131,524,727	131524727	15.6%	T
`interests`	56,194,339	56194339	6.7%
`job_company_12mo_employee_growth_rate`	122,338,774	122338774	14.5%
`job_company_employee_count`	122,852,829	122852829	14.6%
`job_company_facebook_url`	73,662,956	73662956	8.7%
`job_company_founded`	96,426,878	96426878	11.4%
`job_company_id`	122,853,267	122853267	14.6%
`job_company_industry`	117,749,428	117749428	14.0%
`job_company_inferred_revenue`	122,852,829	122852829	14.6%
`job_company_linkedin_id`	122,669,437	122669437	14.6%
`job_company_linkedin_url`	122,853,267	122853267	14.6%
`job_company_location_address_line_2`	9,102,415	9102415	1.1%
`job_company_location_continent`	118,215,300	118215300	14.0%
`job_company_location_country`	118,213,224	118213224	14.0%
`job_company_location_geo`	94,913,342	94913342	11.3%
`job_company_location_locality`	95,724,361	95724361	11.4%
`job_company_location_metro`	59,051,814	59051814	7.0%
`job_company_location_name`	118,215,300	118215300	14.0%
`job_company_location_postal_code`	63,026,093	63026093	7.5%
`job_company_location_region`	104,630,005	104630005	12.4%
`job_company_location_street_address`	63,949,449	63949449	7.6%
`job_company_name`	157,651,029	157651029	18.7%
`job_company_size`	122,853,267	122853267	14.6%
`job_company_ticker`	24,101,284	24101284	2.9%	T
`job_company_total_funding_raised`	26,924,874	26924874	3.2%
`job_company_twitter_url`	75,545,362	75545362	9.0%
`job_company_type`	122,853,267	122853267	14.6%	T
`job_company_website`	113,972,375	113972375	13.5%
`job_history`	305,855,274	305855274	36.3%	T
`job_history.company_id`	246,937,289	246937289	29.3%	T
`job_history.company_name`	298,743,160	298743160	35.4%	T
`job_history.first_seen`	305,855,274	305855274	36.3%	T
`job_history.last_seen`	305,855,274	305855274	36.3%	T
`job_history.num_sources`	305,855,274	305855274	36.3%	T
`job_history.title`	287,567,475	287567475	34.1%	T
`job_last_changed`	161,222,231	161222231	19.1%	T
`job_last_updated`	161,222,231	161222231	19.1%
`job_last_verified`	161,222,231	161222231	19.1%	T
`job_onet_broad_occupation`	82,191,377	82191377	9.8%	T
`job_onet_code`	82,191,377	82191377	9.8%	T
`job_onet_major_group`	82,191,377	82191377	9.8%	T
`job_onet_minor_group`	82,191,377	82191377	9.8%	T
`job_onet_specific_occupation`	82,191,377	82191377	9.8%	T
`job_onet_specific_occupation_detail`	31,980,931	31980931	3.8%	T
`job_start_date`	111,976,821	111976821	13.3%
`job_summary`	36,233,634	36233634	4.3%	T
`job_title`	159,688,751	159688751	18.9%
`job_title_levels`	58,224,310	58224310	6.9%
`job_title_role`	65,537,645	65537645	7.8%
`job_title_sub_role`	38,774,426	38774426	4.6%
`languages`	111,268,799	111268799	13.2%	T
`languages.name`	111,268,799	111268799	13.2%	T
`languages.proficiency`	8,424,887	8424887	1.0%	T
`last_initial`	842,934,945	842934945	100.0%
`last_name`	842,475,961	842475961	99.9%
`linkedin_connections`	202,394,372	202394372	24.0%	T
`linkedin_id`	198,279,844	198279844	23.5%
`linkedin_url`	212,227,865	212227865	25.2%
`linkedin_username`	212,227,865	212227865	25.2%
`location_address_line_2`	55,882,884	55882884	6.6%
`location_continent`	624,898,790	624898790	74.1%
`location_country`	624,705,903	624705903	74.1%
`location_geo`	537,455,961	537455961	63.8%
`location_last_updated`	301,792,535	301792535	35.8%
`location_locality`	555,266,719	555266719	65.9%
`location_metro`	396,641,834	396641834	47.1%
`location_name`	624,898,790	624898790	74.1%
`location_names`	570,133,051	570133051	67.6%
`location_postal_code`	388,156,198	388156198	46.0%
`location_region`	582,603,803	582603803	69.1%
`location_street_address`	350,666,409	350666409	41.6%
`middle_initial`	184,467,935	184467935	21.9%
`middle_name`	93,349,540	93349540	11.1%
`mobile_phone`	68,372,832	68372832	8.1%
`name_aliases`	74,058,431	74058431	8.8%	T
`num_records`	842,934,945	842934945	100.0%	T
`num_sources`	842,934,945	842934945	100.0%	T
`personal_emails`	581,279,914	581279914	69.0%
`phone_numbers`	308,307,380	308307380	36.6%
`phones`	308,307,380	308307380	36.6%	T
`phones.first_seen`	308,307,380	308307380	36.6%	T
`phones.last_seen`	308,307,380	308307380	36.6%	T
`phones.num_sources`	308,307,380	308307380	36.6%	T
`phones.number`	308,307,380	308307380	36.6%	T
`possible_birth_dates`	106,679,231	106679231	12.7%	T
`possible_emails`	79,748,695	79748695	9.5%	T
`possible_emails.address`	79,748,695	79748695	9.5%	T
`possible_emails.first_seen`	79,748,695	79748695	9.5%	T
`possible_emails.last_seen`	79,748,695	79748695	9.5%	T
`possible_emails.num_sources`	79,748,695	79748695	9.5%	T
`possible_emails.type`	68,625,266	68625266	8.1%	T
`possible_location_names`	398,373,251	398373251	47.3%	T
`possible_phones`	48,002,417	48002417	5.7%	T
`possible_phones.first_seen`	48,002,417	48002417	5.7%	T
`possible_phones.last_seen`	48,002,417	48002417	5.7%	T
`possible_phones.num_sources`	48,002,417	48002417	5.7%	T
`possible_phones.number`	48,002,417	48002417	5.7%	T
`possible_profiles`	28,723,475	28723475	3.4%	T
`possible_profiles.first_seen`	28,723,475	28723475	3.4%	T
`possible_profiles.id`	13,907,103	13907103	1.6%	T
`possible_profiles.last_seen`	28,723,475	28723475	3.4%	T
`possible_profiles.network`	28,723,475	28723475	3.4%	T
`possible_profiles.num_sources`	28,723,475	28723475	3.4%	T
`possible_profiles.url`	28,712,978	28712978	3.4%	T
`possible_profiles.username`	27,915,242	27915242	3.3%	T
`possible_street_addresses`	53,277,227	53277227	6.3%	T
`possible_street_addresses.address_line_2`	9,159,326	9159326	1.1%	T
`possible_street_addresses.continent`	53,277,227	53277227	6.3%	T
`possible_street_addresses.country`	53,277,227	53277227	6.3%	T
`possible_street_addresses.first_seen`	53,277,227	53277227	6.3%	T
`possible_street_addresses.geo`	53,042,543	53042543	6.3%	T
`possible_street_addresses.last_seen`	53,277,227	53277227	6.3%	T
`possible_street_addresses.locality`	53,277,227	53277227	6.3%	T
`possible_street_addresses.metro`	45,241,137	45241137	5.4%	T
`possible_street_addresses.name`	53,277,227	53277227	6.3%	T
`possible_street_addresses.num_sources`	53,277,227	53277227	6.3%	T
`possible_street_addresses.postal_code`	52,858,160	52858160	6.3%	T
`possible_street_addresses.region`	53,277,227	53277227	6.3%	T
`possible_street_addresses.street_address`	53,277,227	53277227	6.3%	T
`profiles`	254,944,554	254944554	30.2%
`profiles.first_seen`	254,944,554	254944554	30.2%	T
`profiles.id`	239,374,131	239374131	28.4%
`profiles.last_seen`	254,944,554	254944554	30.2%	T
`profiles.network`	254,944,554	254944554	30.2%
`profiles.num_sources`	254,944,554	254944554	30.2%	T
`profiles.url`	251,449,157	251449157	29.8%
`profiles.username`	245,479,502	245479502	29.1%
`recommended_personal_email`	581,274,590	581274590	69.0%
`regions`	589,383,760	589383760	69.9%
`sex`	658,962,245	658962245	78.2%
`skills`	94,833,099	94833099	11.3%
`street_addresses`	365,900,677	365900677	43.4%
`street_addresses.address_line_2`	90,308,224	90308224	10.7%
`street_addresses.continent`	365,900,677	365900677	43.4%
`street_addresses.country`	365,900,677	365900677	43.4%
`street_addresses.first_seen`	365,900,677	365900677	43.4%	T
`street_addresses.geo`	362,102,123	362102123	43.0%
`street_addresses.last_seen`	365,900,677	365900677	43.4%	T
`street_addresses.locality`	365,900,677	365900677	43.4%
`street_addresses.metro`	314,328,458	314328458	37.3%
`street_addresses.name`	365,900,677	365900677	43.4%
`street_addresses.num_sources`	365,900,677	365900677	43.4%	T
`street_addresses.postal_code`	363,715,518	363715518	43.1%
`street_addresses.region`	365,900,677	365900677	43.4%
`street_addresses.street_address`	365,900,677	365900677	43.4%
`summary`	53,385,386	53385386	6.3%	T
`twitter_url`	8,615,219	8615219	1.0%
`twitter_username`	8,615,219	8615219	1.0%
`work_email`	85,508,001	85508001	10.1%

Stats shown are accurate as of data version 26.0