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. Premium fields are not accessible by default.

Common Use Cases
Recruiting, Investment Sourcing

Field	Count	Numeric	Fill Percentage	Premium Field
`Total`	3,113,424	3113424	100.0%
`birth_date`	69,368	69368	2.2%
`birth_year`	158,534	158534	5.1%
`certifications`	258,133	258133	8.3%	T
`certifications.end_date`	192,584	192584	6.2%	T
`certifications.name`	258,133	258133	8.3%	T
`certifications.organization`	254,980	254980	8.2%	T
`certifications.start_date`	230,274	230274	7.4%	T
`countries`	1,800,970	1800970	57.8%
`education`	663,480	663480	21.3%
`education.degrees`	510,163	510163	16.4%
`education.end_date`	610,977	610977	19.6%
`education.gpa`	42,014	42014	1.3%
`education.majors`	543,942	543942	17.5%
`education.minors`	8,768	8768	0.3%
`education.raw`	625,750	625750	20.1%	T
`education.school`	639,430	639430	20.5%
`education.school.domain`	562,197	562197	18.1%
`education.school.facebook_url`	474,630	474630	15.2%
`education.school.id`	566,508	566508	18.2%
`education.school.linkedin_id`	491,412	491412	15.8%
`education.school.linkedin_url`	566,307	566307	18.2%
`education.school.location`	556,122	556122	17.9%
`education.school.location.continent`	556,122	556122	17.9%
`education.school.location.country`	556,116	556116	17.9%
`education.school.location.locality`	424,043	424043	13.6%
`education.school.location.name`	556,122	556122	17.9%
`education.school.location.region`	488,953	488953	15.7%
`education.school.name`	639,425	639425	20.5%
`education.school.raw`	638,709	638709	20.5%	T
`education.school.twitter_url`	457,698	457698	14.7%
`education.school.type`	627,070	627070	20.1%
`education.school.website`	562,197	562197	18.1%
`education.start_date`	596,643	596643	19.2%
`education.summary`	277,240	277240	8.9%	T
`emails`	2,115,468	2115468	67.9%
`emails.address`	2,115,468	2115468	67.9%
`emails.first_seen`	2,115,468	2115468	67.9%	T
`emails.last_seen`	2,115,468	2115468	67.9%	T
`emails.num_sources`	2,115,468	2115468	67.9%	T
`emails.type`	1,736,576	1736576	55.8%
`experience`	961,978	961978	30.9%
`experience.company`	957,579	957579	30.8%
`experience.company.facebook_url`	722,984	722984	23.2%
`experience.company.founded`	779,268	779268	25.0%
`experience.company.id`	807,233	807233	25.9%
`experience.company.industry`	801,090	801090	25.7%
`experience.company.linkedin_id`	806,561	806561	25.9%
`experience.company.linkedin_url`	807,233	807233	25.9%
`experience.company.location`	800,245	800245	25.7%
`experience.company.location.address_line_2`	238,874	238874	7.7%
`experience.company.location.continent`	800,245	800245	25.7%
`experience.company.location.country`	800,244	800244	25.7%
`experience.company.location.geo`	749,247	749247	24.1%
`experience.company.location.locality`	745,677	745677	24.0%
`experience.company.location.metro`	552,147	552147	17.7%
`experience.company.location.name`	800,245	800245	25.7%
`experience.company.location.postal_code`	563,463	563463	18.1%
`experience.company.location.region`	773,617	773617	24.8%
`experience.company.location.street_address`	583,236	583236	18.7%
`experience.company.name`	957,579	957579	30.8%
`experience.company.raw`	948,768	948768	30.5%	T
`experience.company.size`	807,233	807233	25.9%
`experience.company.ticker`	353,894	353894	11.4%	T
`experience.company.twitter_url`	734,725	734725	23.6%
`experience.company.type`	807,233	807233	25.9%	T
`experience.company.website`	797,054	797054	25.6%
`experience.end_date`	639,413	639413	20.5%
`experience.first_seen`	961,978	961978	30.9%	T
`experience.is_primary`	961,978	961978	30.9%
`experience.last_seen`	961,978	961978	30.9%	T
`experience.location_names`	575,475	575475	18.5%
`experience.num_sources`	961,978	961978	30.9%	T
`experience.start_date`	674,110	674110	21.7%
`experience.summary`	610,739	610739	19.6%	T
`experience.title`	727,617	727617	23.4%
`experience.title.levels`	588,394	588394	18.9%
`experience.title.name`	727,617	727617	23.4%
`experience.title.raw`	727,617	727617	23.4%	T
`experience.title.role`	665,654	665654	21.4%
`experience.title.sub_role`	605,907	605907	19.5%
`facebook_friends`	78,641	78641	2.5%	T
`facebook_id`	279,809	279809	9.0%
`facebook_url`	439,957	439957	14.1%
`facebook_username`	439,957	439957	14.1%
`first_name`	3,113,424	3113424	100.0%
`first_seen`	3,113,424	3113424	100.0%	T
`full_name`	3,113,424	3113424	100.0%
`github_url`	3,113,424	3113424	100.0%
`github_username`	3,113,424	3113424	100.0%
`id`	3,113,424	3113424	100.0%
`industry`	682,447	682447	21.9%
`inferred_salary`	547,775	547775	17.6%	T
`inferred_years_experience`	674,960	674960	21.7%	T
`interests`	328,249	328249	10.5%
`job_company_12mo_employee_growth_rate`	543,503	543503	17.5%
`job_company_employee_count`	546,659	546659	17.6%
`job_company_facebook_url`	360,934	360934	11.6%
`job_company_founded`	481,030	481030	15.5%
`job_company_id`	546,661	546661	17.6%
`job_company_industry`	505,750	505750	16.2%
`job_company_inferred_revenue`	546,659	546659	17.6%
`job_company_linkedin_id`	545,759	545759	17.5%
`job_company_linkedin_url`	546,661	546661	17.6%
`job_company_location_address_line_2`	48,535	48535	1.6%
`job_company_location_continent`	528,127	528127	17.0%
`job_company_location_country`	528,106	528106	17.0%
`job_company_location_geo`	436,925	436925	14.0%
`job_company_location_locality`	438,941	438941	14.1%
`job_company_location_metro`	292,121	292121	9.4%
`job_company_location_name`	528,127	528127	17.0%
`job_company_location_postal_code`	282,845	282845	9.1%
`job_company_location_region`	479,875	479875	15.4%
`job_company_location_street_address`	275,937	275937	8.9%
`job_company_name`	615,884	615884	19.8%
`job_company_size`	546,661	546661	17.6%
`job_company_ticker`	106,620	106620	3.4%	T
`job_company_total_funding_raised`	249,448	249448	8.0%
`job_company_twitter_url`	395,874	395874	12.7%
`job_company_type`	546,661	546661	17.6%	T
`job_company_website`	525,452	525452	16.9%
`job_history`	962,054	962054	30.9%	T
`job_history.company_id`	812,460	812460	26.1%	T
`job_history.company_name`	958,109	958109	30.8%	T
`job_history.first_seen`	962,054	962054	30.9%	T
`job_history.last_seen`	962,054	962054	30.9%	T
`job_history.num_sources`	962,054	962054	30.9%	T
`job_history.title`	727,732	727732	23.4%	T
`job_last_changed`	627,689	627689	20.2%	T
`job_last_verified`	627,689	627689	20.2%	T
`job_onet_broad_occupation`	384,945	384945	12.4%	T
`job_onet_code`	384,945	384945	12.4%	T
`job_onet_major_group`	384,945	384945	12.4%	T
`job_onet_minor_group`	384,945	384945	12.4%	T
`job_onet_specific_occupation`	384,945	384945	12.4%	T
`job_onet_specific_occupation_detail`	252,997	252997	8.1%	T
`job_start_date`	608,161	608161	19.5%
`job_summary`	238,074	238074	7.6%	T
`job_title`	626,891	626891	20.1%
`job_title_levels`	353,213	353213	11.3%
`job_title_role`	415,513	415513	13.3%
`job_title_sub_role`	268,494	268494	8.6%
`languages`	432,590	432590	13.9%	T
`languages.name`	432,590	432590	13.9%	T
`languages.proficiency`	112,090	112090	3.6%	T
`last_initial`	3,113,424	3113424	100.0%
`last_name`	3,112,559	3112559	100.0%
`linkedin_connections`	717,474	717474	23.0%	T
`linkedin_id`	724,957	724957	23.3%
`linkedin_url`	869,873	869873	27.9%
`linkedin_username`	869,873	869873	27.9%
`location_address_line_2`	60,489	60489	1.9%
`location_continent`	1,798,401	1798401	57.8%
`location_country`	1,797,049	1797049	57.7%
`location_geo`	1,310,117	1310117	42.1%
`location_last_updated`	707,299	707299	22.7%
`location_locality`	1,379,743	1379743	44.3%
`location_metro`	595,035	595035	19.1%
`location_name`	1,798,401	1798401	57.8%
`location_names`	1,438,146	1438146	46.2%
`location_postal_code`	198,848	198848	6.4%
`location_region`	1,471,607	1471607	47.3%
`location_street_address`	196,426	196426	6.3%
`middle_initial`	425,550	425550	13.7%
`middle_name`	314,539	314539	10.1%
`mobile_phone`	276,481	276481	8.9%
`name_aliases`	196,946	196946	6.3%	T
`num_records`	3,113,424	3113424	100.0%	T
`num_sources`	3,113,424	3113424	100.0%	T
`personal_emails`	1,581,626	1581626	50.8%
`phone_numbers`	396,772	396772	12.7%
`phones`	396,772	396772	12.7%	T
`phones.first_seen`	396,772	396772	12.7%	T
`phones.last_seen`	396,772	396772	12.7%	T
`phones.num_sources`	396,772	396772	12.7%	T
`phones.number`	396,772	396772	12.7%	T
`possible_birth_dates`	87,006	87006	2.8%	T
`possible_emails`	446,594	446594	14.3%	T
`possible_emails.address`	446,594	446594	14.3%	T
`possible_emails.first_seen`	446,594	446594	14.3%	T
`possible_emails.last_seen`	446,594	446594	14.3%	T
`possible_emails.num_sources`	446,594	446594	14.3%	T
`possible_emails.type`	372,797	372797	12.0%	T
`possible_location_names`	668,617	668617	21.5%	T
`possible_phones`	256,845	256845	8.2%	T
`possible_phones.first_seen`	256,845	256845	8.2%	T
`possible_phones.last_seen`	256,845	256845	8.2%	T
`possible_phones.num_sources`	256,845	256845	8.2%	T
`possible_phones.number`	256,845	256845	8.2%	T
`possible_profiles`	600,844	600844	19.3%	T
`possible_profiles.first_seen`	600,844	600844	19.3%	T
`possible_profiles.id`	91,856	91856	3.0%	T
`possible_profiles.last_seen`	600,844	600844	19.3%	T
`possible_profiles.network`	600,844	600844	19.3%	T
`possible_profiles.num_sources`	600,844	600844	19.3%	T
`possible_profiles.url`	600,764	600764	19.3%	T
`possible_profiles.username`	590,809	590809	19.0%	T
`possible_street_addresses`	62,307	62307	2.0%	T
`possible_street_addresses.address_line_2`	16,955	16955	0.5%	T
`possible_street_addresses.continent`	62,307	62307	2.0%	T
`possible_street_addresses.country`	62,307	62307	2.0%	T
`possible_street_addresses.first_seen`	62,307	62307	2.0%	T
`possible_street_addresses.geo`	62,089	62089	2.0%	T
`possible_street_addresses.last_seen`	62,307	62307	2.0%	T
`possible_street_addresses.locality`	62,307	62307	2.0%	T
`possible_street_addresses.metro`	57,314	57314	1.8%	T
`possible_street_addresses.name`	62,307	62307	2.0%	T
`possible_street_addresses.num_sources`	62,307	62307	2.0%	T
`possible_street_addresses.postal_code`	61,952	61952	2.0%	T
`possible_street_addresses.region`	62,307	62307	2.0%	T
`possible_street_addresses.street_address`	62,307	62307	2.0%	T
`profiles`	3,113,424	3113424	100.0%
`profiles.first_seen`	3,113,424	3113424	100.0%	T
`profiles.id`	821,687	821687	26.4%
`profiles.last_seen`	3,113,424	3113424	100.0%	T
`profiles.network`	3,113,424	3113424	100.0%
`profiles.num_sources`	3,113,424	3113424	100.0%	T
`profiles.url`	3,113,424	3113424	100.0%
`profiles.username`	3,113,424	3113424	100.0%
`recommended_personal_email`	1,581,334	1581334	50.8%
`regions`	1,516,067	1516067	48.7%
`sex`	2,232,645	2232645	71.7%
`skills`	738,293	738293	23.7%
`street_addresses`	258,649	258649	8.3%
`street_addresses.address_line_2`	143,167	143167	4.6%
`street_addresses.continent`	258,649	258649	8.3%
`street_addresses.country`	258,649	258649	8.3%
`street_addresses.first_seen`	258,649	258649	8.3%	T
`street_addresses.geo`	257,620	257620	8.3%
`street_addresses.last_seen`	258,649	258649	8.3%	T
`street_addresses.locality`	258,649	258649	8.3%
`street_addresses.metro`	247,055	247055	7.9%
`street_addresses.name`	258,649	258649	8.3%
`street_addresses.num_sources`	258,649	258649	8.3%	T
`street_addresses.postal_code`	256,431	256431	8.2%
`street_addresses.region`	258,649	258649	8.3%
`street_addresses.street_address`	258,649	258649	8.3%
`summary`	465,837	465837	15.0%	T
`twitter_url`	502,900	502900	16.2%
`twitter_username`	502,900	502900	16.2%
`work_email`	294,045	294045	9.4%

Stats shown are accurate as of data version 27.0