Developer Stats

Description

The Developer Slice Dataset is a subset of our full Person Dataset and is composed of all the records containing a GitHub 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
Recruiting, Investment Sourcing

Field	Count	Numeric	Fill Percentage	Restricted Field
`Total`	3,111,699	3111699	100.0%
`birth_date`	64,868	64868	2.1%
`birth_year`	151,072	151072	4.9%
`certifications`	214,104	214104	6.9%	T
`certifications.end_date`	56,946	56946	1.8%	T
`certifications.name`	214,104	214104	6.9%	T
`certifications.organization`	204,976	204976	6.6%	T
`certifications.start_date`	182,595	182595	5.9%	T
`countries`	1,796,399	1796399	57.7%
`education`	653,625	653625	21.0%
`education.degrees`	493,072	493072	15.8%
`education.end_date`	601,071	601071	19.3%
`education.gpa`	33,209	33209	1.1%
`education.majors`	523,409	523409	16.8%
`education.minors`	6,999	6999	0.2%
`education.raw`	611,455	611455	19.7%	T
`education.school`	644,114	644114	20.7%
`education.school.domain`	598,911	598911	19.2%
`education.school.facebook_url`	513,052	513052	16.5%
`education.school.id`	602,841	602841	19.4%
`education.school.linkedin_id`	600,149	600149	19.3%
`education.school.linkedin_url`	600,149	600149	19.3%
`education.school.location`	601,544	601544	19.3%
`education.school.location.continent`	601,544	601544	19.3%
`education.school.location.country`	601,544	601544	19.3%
`education.school.location.locality`	498,427	498427	16.0%
`education.school.location.name`	601,544	601544	19.3%
`education.school.location.region`	515,253	515253	16.6%
`education.school.name`	644,101	644101	20.7%
`education.school.raw`	627,708	627708	20.2%	T
`education.school.twitter_url`	496,971	496971	16.0%
`education.school.type`	633,881	633881	20.4%
`education.school.website`	598,911	598911	19.2%
`education.start_date`	586,612	586612	18.9%
`education.summary`	253,904	253904	8.2%	T
`emails`	2,125,433	2125433	68.3%
`emails.address`	2,125,433	2125433	68.3%
`emails.first_seen`	2,125,433	2125433	68.3%	T
`emails.last_seen`	2,125,433	2125433	68.3%	T
`emails.num_sources`	2,125,433	2125433	68.3%	T
`emails.type`	1,744,465	1744465	56.1%
`experience`	951,041	951041	30.6%
`experience.company`	945,811	945811	30.4%
`experience.company.facebook_url`	715,680	715680	23.0%
`experience.company.founded`	779,117	779117	25.0%
`experience.company.id`	810,558	810558	26.0%
`experience.company.industry`	806,325	806325	25.9%
`experience.company.linkedin_id`	810,215	810215	26.0%
`experience.company.linkedin_url`	810,558	810558	26.0%
`experience.company.location`	801,602	801602	25.8%
`experience.company.location.address_line_2`	228,623	228623	7.3%
`experience.company.location.continent`	801,602	801602	25.8%
`experience.company.location.country`	801,601	801601	25.8%
`experience.company.location.geo`	745,894	745894	24.0%
`experience.company.location.locality`	742,837	742837	23.9%
`experience.company.location.metro`	543,660	543660	17.5%
`experience.company.location.name`	801,602	801602	25.8%
`experience.company.location.postal_code`	559,351	559351	18.0%
`experience.company.location.region`	771,772	771772	24.8%
`experience.company.location.street_address`	577,806	577806	18.6%
`experience.company.name`	945,811	945811	30.4%
`experience.company.raw`	936,854	936854	30.1%	T
`experience.company.size`	810,558	810558	26.0%
`experience.company.ticker`	373,293	373293	12.0%	T
`experience.company.twitter_url`	730,887	730887	23.5%
`experience.company.type`	810,558	810558	26.0%	T
`experience.company.website`	800,017	800017	25.7%
`experience.end_date`	622,848	622848	20.0%
`experience.first_seen`	951,041	951041	30.6%	T
`experience.is_primary`	951,041	951041	30.6%
`experience.last_seen`	951,041	951041	30.6%	T
`experience.location_names`	552,286	552286	17.7%
`experience.num_sources`	951,041	951041	30.6%	T
`experience.start_date`	655,967	655967	21.1%
`experience.summary`	594,133	594133	19.1%	T
`experience.title`	715,127	715127	23.0%
`experience.title.levels`	570,557	570557	18.3%
`experience.title.name`	715,127	715127	23.0%
`experience.title.raw`	715,127	715127	23.0%	T
`experience.title.role`	652,815	652815	21.0%
`experience.title.sub_role`	592,477	592477	19.0%
`facebook_friends`	74,938	74938	2.4%	T
`facebook_id`	269,467	269467	8.7%
`facebook_url`	432,090	432090	13.9%
`facebook_username`	432,090	432090	13.9%
`first_name`	3,111,699	3111699	100.0%
`first_seen`	3,111,699	3111699	100.0%	T
`full_name`	3,111,699	3111699	100.0%
`gender`	2,227,714	2227714	71.6%
`github_url`	3,111,699	3111699	100.0%
`github_username`	3,111,699	3111699	100.0%
`id`	3,111,699	3111699	100.0%
`industry`	672,761	672761	21.6%
`inferred_salary`	547,782	547782	17.6%	T
`inferred_years_experience`	668,910	668910	21.5%	T
`interests`	321,867	321867	10.3%
`job_company_facebook_url`	360,796	360796	11.6%
`job_company_founded`	470,274	470274	15.1%
`job_company_id`	531,582	531582	17.1%
`job_company_industry`	511,500	511500	16.4%
`job_company_linkedin_id`	531,059	531059	17.1%
`job_company_linkedin_url`	531,582	531582	17.1%
`job_company_location_address_line_2`	47,363	47363	1.5%
`job_company_location_continent`	512,635	512635	16.5%
`job_company_location_country`	512,619	512619	16.5%
`job_company_location_geo`	426,808	426808	13.7%
`job_company_location_locality`	429,187	429187	13.8%
`job_company_location_metro`	285,291	285291	9.2%
`job_company_location_name`	512,635	512635	16.5%
`job_company_location_postal_code`	283,926	283926	9.1%
`job_company_location_region`	466,443	466443	15.0%
`job_company_location_street_address`	281,673	281673	9.1%
`job_company_name`	603,604	603604	19.4%
`job_company_size`	531,582	531582	17.1%
`job_company_ticker`	129,015	129015	4.1%	T
`job_company_twitter_url`	397,402	397402	12.8%
`job_company_type`	531,582	531582	17.1%	T
`job_company_website`	509,465	509465	16.4%
`job_history`	954,409	954409	30.7%	T
`job_history.company_id`	818,390	818390	26.3%	T
`job_history.company_name`	949,515	949515	30.5%	T
`job_history.first_seen`	954,409	954409	30.7%	T
`job_history.last_seen`	954,409	954409	30.7%	T
`job_history.num_sources`	954,409	954409	30.7%	T
`job_history.title`	718,519	718519	23.1%	T
`job_last_updated`	626,825	626825	20.1%
`job_last_verified`	626,825	626825	20.1%
`job_onet_broad_occupation`	381,041	381041	12.2%	T
`job_onet_code`	381,041	381041	12.2%	T
`job_onet_major_group`	381,041	381041	12.2%	T
`job_onet_minor_group`	381,041	381041	12.2%	T
`job_onet_specific_occupation`	381,041	381041	12.2%	T
`job_onet_specific_occupation_detail`	253,104	253104	8.1%	T
`job_start_date`	514,162	514162	16.5%
`job_summary`	187,549	187549	6.0%	T
`job_title`	620,659	620659	19.9%
`job_title_levels`	325,656	325656	10.5%
`job_title_role`	419,712	419712	13.5%
`job_title_sub_role`	273,589	273589	8.8%
`languages`	421,736	421736	13.6%	T
`languages.name`	421,736	421736	13.6%	T
`languages.proficiency`	114,490	114490	3.7%	T
`last_initial`	3,111,699	3111699	100.0%
`last_name`	3,111,682	3111682	100.0%
`linkedin_connections`	711,245	711245	22.9%	T
`linkedin_id`	712,915	712915	22.9%
`linkedin_url`	864,300	864300	27.8%
`linkedin_username`	864,300	864300	27.8%
`location_address_line_2`	57,796	57796	1.9%
`location_continent`	1,793,657	1793657	57.6%
`location_country`	1,792,250	1792250	57.6%
`location_geo`	1,302,743	1302743	41.9%
`location_last_updated`	690,168	690168	22.2%
`location_locality`	1,374,309	1374309	44.2%
`location_metro`	591,254	591254	19.0%
`location_name`	1,793,657	1793657	57.6%
`location_names`	1,433,411	1433411	46.1%
`location_postal_code`	191,693	191693	6.2%
`location_region`	1,464,754	1464754	47.1%
`location_street_address`	189,176	189176	6.1%
`middle_initial`	422,144	422144	13.6%
`middle_name`	314,962	314962	10.1%
`mobile_phone`	170,080	170080	5.5%
`name_aliases`	162,408	162408	5.2%	T
`num_records`	3,111,699	3111699	100.0%	T
`num_sources`	3,111,699	3111699	100.0%	T
`personal_emails`	1,599,200	1599200	51.4%
`phone_numbers`	320,003	320003	10.3%
`phones`	320,003	320003	10.3%	T
`phones.first_seen`	320,003	320003	10.3%	T
`phones.last_seen`	320,003	320003	10.3%	T
`phones.num_sources`	320,003	320003	10.3%	T
`phones.number`	320,003	320003	10.3%	T
`possible_birth_dates`	83,333	83333	2.7%	T
`possible_emails`	455,272	455272	14.6%	T
`possible_emails.address`	455,272	455272	14.6%	T
`possible_emails.first_seen`	455,272	455272	14.6%	T
`possible_emails.last_seen`	455,272	455272	14.6%	T
`possible_emails.num_sources`	455,272	455272	14.6%	T
`possible_emails.type`	382,644	382644	12.3%	T
`possible_location_names`	656,892	656892	21.1%	T
`possible_phones`	247,136	247136	7.9%	T
`possible_phones.first_seen`	247,136	247136	7.9%	T
`possible_phones.last_seen`	247,136	247136	7.9%	T
`possible_phones.num_sources`	247,136	247136	7.9%	T
`possible_phones.number`	247,136	247136	7.9%	T
`possible_profiles`	587,490	587490	18.9%	T
`possible_profiles.first_seen`	587,490	587490	18.9%	T
`possible_profiles.id`	90,493	90493	2.9%	T
`possible_profiles.last_seen`	587,490	587490	18.9%	T
`possible_profiles.network`	587,490	587490	18.9%	T
`possible_profiles.num_sources`	587,490	587490	18.9%	T
`possible_profiles.url`	587,408	587408	18.9%	T
`possible_profiles.username`	577,267	577267	18.6%	T
`possible_street_addresses`	51,891	51891	1.7%	T
`possible_street_addresses.address_line_2`	15,409	15409	0.5%	T
`possible_street_addresses.continent`	51,891	51891	1.7%	T
`possible_street_addresses.country`	51,891	51891	1.7%	T
`possible_street_addresses.first_seen`	51,891	51891	1.7%	T
`possible_street_addresses.geo`	51,684	51684	1.7%	T
`possible_street_addresses.last_seen`	51,891	51891	1.7%	T
`possible_street_addresses.locality`	51,891	51891	1.7%	T
`possible_street_addresses.metro`	47,959	47959	1.5%	T
`possible_street_addresses.name`	51,891	51891	1.7%	T
`possible_street_addresses.num_sources`	51,891	51891	1.7%	T
`possible_street_addresses.postal_code`	51,531	51531	1.7%	T
`possible_street_addresses.region`	51,891	51891	1.7%	T
`possible_street_addresses.street_address`	51,891	51891	1.7%	T
`profiles`	3,111,699	3111699	100.0%
`profiles.first_seen`	3,111,699	3111699	100.0%	T
`profiles.id`	814,963	814963	26.2%
`profiles.last_seen`	3,111,699	3111699	100.0%	T
`profiles.network`	3,111,699	3111699	100.0%
`profiles.num_sources`	3,111,699	3111699	100.0%	T
`profiles.url`	3,111,699	3111699	100.0%
`profiles.username`	3,111,699	3111699	100.0%
`recommended_personal_email`	1,598,866	1598866	51.4%
`regions`	1,510,629	1510629	48.5%
`skills`	728,586	728586	23.4%
`street_addresses`	252,137	252137	8.1%
`street_addresses.address_line_2`	137,998	137998	4.4%
`street_addresses.continent`	252,137	252137	8.1%
`street_addresses.country`	252,137	252137	8.1%
`street_addresses.first_seen`	252,137	252137	8.1%	T
`street_addresses.geo`	251,040	251040	8.1%
`street_addresses.last_seen`	252,137	252137	8.1%	T
`street_addresses.locality`	252,137	252137	8.1%
`street_addresses.metro`	240,445	240445	7.7%
`street_addresses.name`	252,137	252137	8.1%
`street_addresses.num_sources`	252,137	252137	8.1%	T
`street_addresses.postal_code`	249,920	249920	8.0%
`street_addresses.region`	252,137	252137	8.1%
`street_addresses.street_address`	252,137	252137	8.1%
`summary`	648,280	648280	20.8%	T
`twitter_url`	483,802	483802	15.5%
`twitter_username`	483,802	483802	15.5%
`work_email`	322,902	322902	10.4%

Stats shown are accurate as of data version 23.2