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`	3,116,626	3116626	100.0%
`birth_date`	69,015	69015	2.2%
`birth_year`	158,287	158287	5.1%
`certifications`	252,594	252594	8.1%	T
`certifications.end_date`	184,162	184162	5.9%	T
`certifications.name`	252,594	252594	8.1%	T
`certifications.organization`	248,961	248961	8.0%	T
`certifications.start_date`	224,211	224211	7.2%	T
`countries`	1,803,259	1803259	57.9%
`education`	661,421	661421	21.2%
`education.degrees`	507,497	507497	16.3%
`education.end_date`	608,465	608465	19.5%
`education.gpa`	41,607	41607	1.3%
`education.majors`	540,246	540246	17.3%
`education.minors`	8,663	8663	0.3%
`education.raw`	623,009	623009	20.0%	T
`education.school`	636,791	636791	20.4%
`education.school.domain`	559,161	559161	17.9%
`education.school.facebook_url`	473,333	473333	15.2%
`education.school.id`	563,567	563567	18.1%
`education.school.linkedin_id`	560,616	560616	18.0%
`education.school.linkedin_url`	563,371	563371	18.1%
`education.school.location`	553,655	553655	17.8%
`education.school.location.continent`	553,655	553655	17.8%
`education.school.location.country`	553,650	553650	17.8%
`education.school.location.locality`	430,056	430056	13.8%
`education.school.location.name`	553,655	553655	17.8%
`education.school.location.region`	279,048	279048	9.0%
`education.school.name`	636,788	636788	20.4%
`education.school.raw`	636,216	636216	20.4%	T
`education.school.twitter_url`	457,219	457219	14.7%
`education.school.type`	624,316	624316	20.0%
`education.school.website`	559,161	559161	17.9%
`education.start_date`	594,070	594070	19.1%
`education.summary`	276,583	276583	8.9%	T
`emails`	2,130,831	2130831	68.4%
`emails.address`	2,130,831	2130831	68.4%
`emails.first_seen`	2,130,831	2130831	68.4%	T
`emails.last_seen`	2,130,831	2130831	68.4%	T
`emails.num_sources`	2,130,831	2130831	68.4%	T
`emails.type`	1,751,681	1751681	56.2%
`experience`	962,802	962802	30.9%
`experience.company`	958,336	958336	30.7%
`experience.company.facebook_url`	724,413	724413	23.2%
`experience.company.founded`	780,228	780228	25.0%
`experience.company.id`	807,868	807868	25.9%
`experience.company.industry`	801,827	801827	25.7%
`experience.company.linkedin_id`	807,173	807173	25.9%
`experience.company.linkedin_url`	807,868	807868	25.9%
`experience.company.location`	800,597	800597	25.7%
`experience.company.location.address_line_2`	244,787	244787	7.9%
`experience.company.location.continent`	800,597	800597	25.7%
`experience.company.location.country`	800,596	800596	25.7%
`experience.company.location.geo`	749,104	749104	24.0%
`experience.company.location.locality`	746,177	746177	23.9%
`experience.company.location.metro`	551,672	551672	17.7%
`experience.company.location.name`	800,597	800597	25.7%
`experience.company.location.postal_code`	565,328	565328	18.1%
`experience.company.location.region`	773,578	773578	24.8%
`experience.company.location.street_address`	583,894	583894	18.7%
`experience.company.name`	958,336	958336	30.7%
`experience.company.raw`	949,314	949314	30.5%	T
`experience.company.size`	807,868	807868	25.9%
`experience.company.ticker`	383,117	383117	12.3%	T
`experience.company.twitter_url`	734,307	734307	23.6%
`experience.company.type`	807,868	807868	25.9%	T
`experience.company.website`	797,667	797667	25.6%
`experience.end_date`	635,029	635029	20.4%
`experience.first_seen`	962,802	962802	30.9%	T
`experience.is_primary`	962,802	962802	30.9%
`experience.last_seen`	962,802	962802	30.9%	T
`experience.location_names`	571,075	571075	18.3%
`experience.num_sources`	962,802	962802	30.9%	T
`experience.start_date`	672,418	672418	21.6%
`experience.summary`	608,238	608238	19.5%	T
`experience.title`	727,748	727748	23.4%
`experience.title.levels`	585,166	585166	18.8%
`experience.title.name`	727,748	727748	23.4%
`experience.title.raw`	727,748	727748	23.4%	T
`experience.title.role`	664,638	664638	21.3%
`experience.title.sub_role`	603,706	603706	19.4%
`facebook_friends`	78,134	78134	2.5%	T
`facebook_id`	277,944	277944	8.9%
`facebook_url`	440,108	440108	14.1%
`facebook_username`	440,108	440108	14.1%
`first_name`	3,116,626	3116626	100.0%
`first_seen`	3,116,626	3116626	100.0%	T
`full_name`	3,116,626	3116626	100.0%
`github_url`	3,116,626	3116626	100.0%
`github_username`	3,116,626	3116626	100.0%
`id`	3,116,626	3116626	100.0%
`industry`	682,815	682815	21.9%
`inferred_salary`	546,822	546822	17.5%	T
`inferred_years_experience`	673,138	673138	21.6%	T
`interests`	327,894	327894	10.5%
`job_company_12mo_employee_growth_rate`	543,537	543537	17.4%
`job_company_employee_count`	546,438	546438	17.5%
`job_company_facebook_url`	363,472	363472	11.7%
`job_company_founded`	485,153	485153	15.6%
`job_company_id`	546,441	546441	17.5%
`job_company_industry`	508,297	508297	16.3%
`job_company_inferred_revenue`	546,438	546438	17.5%
`job_company_linkedin_id`	545,133	545133	17.5%
`job_company_linkedin_url`	546,441	546441	17.5%
`job_company_location_address_line_2`	50,751	50751	1.6%
`job_company_location_continent`	527,728	527728	16.9%
`job_company_location_country`	527,708	527708	16.9%
`job_company_location_geo`	437,268	437268	14.0%
`job_company_location_locality`	439,801	439801	14.1%
`job_company_location_metro`	292,671	292671	9.4%
`job_company_location_name`	527,728	527728	16.9%
`job_company_location_postal_code`	286,439	286439	9.2%
`job_company_location_region`	479,514	479514	15.4%
`job_company_location_street_address`	279,899	279899	9.0%
`job_company_name`	613,775	613775	19.7%
`job_company_size`	546,441	546441	17.5%
`job_company_ticker`	127,970	127970	4.1%	T
`job_company_total_funding_raised`	252,190	252190	8.1%
`job_company_twitter_url`	397,241	397241	12.7%
`job_company_type`	546,441	546441	17.5%	T
`job_company_website`	524,596	524596	16.8%
`job_history`	962,918	962918	30.9%	T
`job_history.company_id`	812,771	812771	26.1%	T
`job_history.company_name`	958,894	958894	30.8%	T
`job_history.first_seen`	962,918	962918	30.9%	T
`job_history.last_seen`	962,918	962918	30.9%	T
`job_history.num_sources`	962,918	962918	30.9%	T
`job_history.title`	727,907	727907	23.4%	T
`job_last_changed`	626,197	626197	20.1%	T
`job_last_updated`	626,197	626197	20.1%
`job_last_verified`	626,197	626197	20.1%	T
`job_onet_broad_occupation`	384,497	384497	12.3%	T
`job_onet_code`	384,497	384497	12.3%	T
`job_onet_major_group`	384,497	384497	12.3%	T
`job_onet_minor_group`	384,497	384497	12.3%	T
`job_onet_specific_occupation`	384,497	384497	12.3%	T
`job_onet_specific_occupation_detail`	253,209	253209	8.1%	T
`job_start_date`	597,474	597474	19.2%
`job_summary`	239,674	239674	7.7%	T
`job_title`	625,401	625401	20.1%
`job_title_levels`	352,601	352601	11.3%
`job_title_role`	415,193	415193	13.3%
`job_title_sub_role`	268,402	268402	8.6%
`languages`	430,538	430538	13.8%	T
`languages.name`	430,538	430538	13.8%	T
`languages.proficiency`	115,405	115405	3.7%	T
`last_initial`	3,116,626	3116626	100.0%
`last_name`	3,116,424	3116424	100.0%
`linkedin_connections`	721,861	721861	23.2%	T
`linkedin_id`	724,766	724766	23.3%
`linkedin_url`	871,369	871369	28.0%
`linkedin_username`	871,369	871369	28.0%
`location_address_line_2`	60,297	60297	1.9%
`location_continent`	1,800,660	1800660	57.8%
`location_country`	1,799,303	1799303	57.7%
`location_geo`	1,312,767	1312767	42.1%
`location_last_updated`	702,609	702609	22.5%
`location_locality`	1,383,348	1383348	44.4%
`location_metro`	597,937	597937	19.2%
`location_name`	1,800,660	1800660	57.8%
`location_names`	1,440,596	1440596	46.2%
`location_postal_code`	199,068	199068	6.4%
`location_region`	1,472,725	1472725	47.3%
`location_street_address`	196,590	196590	6.3%
`middle_initial`	425,450	425450	13.7%
`middle_name`	314,310	314310	10.1%
`mobile_phone`	273,933	273933	8.8%
`name_aliases`	176,303	176303	5.7%	T
`num_records`	3,116,626	3116626	100.0%	T
`num_sources`	3,116,626	3116626	100.0%	T
`personal_emails`	1,604,776	1604776	51.5%
`phone_numbers`	376,649	376649	12.1%
`phones`	376,649	376649	12.1%	T
`phones.first_seen`	376,649	376649	12.1%	T
`phones.last_seen`	376,649	376649	12.1%	T
`phones.num_sources`	376,649	376649	12.1%	T
`phones.number`	376,649	376649	12.1%	T
`possible_birth_dates`	86,906	86906	2.8%	T
`possible_emails`	448,818	448818	14.4%	T
`possible_emails.address`	448,818	448818	14.4%	T
`possible_emails.first_seen`	448,818	448818	14.4%	T
`possible_emails.last_seen`	448,818	448818	14.4%	T
`possible_emails.num_sources`	448,818	448818	14.4%	T
`possible_emails.type`	374,231	374231	12.0%	T
`possible_location_names`	681,254	681254	21.9%	T
`possible_phones`	264,122	264122	8.5%	T
`possible_phones.first_seen`	264,122	264122	8.5%	T
`possible_phones.last_seen`	264,122	264122	8.5%	T
`possible_phones.num_sources`	264,122	264122	8.5%	T
`possible_phones.number`	264,122	264122	8.5%	T
`possible_profiles`	603,770	603770	19.4%	T
`possible_profiles.first_seen`	603,770	603770	19.4%	T
`possible_profiles.id`	93,407	93407	3.0%	T
`possible_profiles.last_seen`	603,770	603770	19.4%	T
`possible_profiles.network`	603,770	603770	19.4%	T
`possible_profiles.num_sources`	603,770	603770	19.4%	T
`possible_profiles.url`	603,691	603691	19.4%	T
`possible_profiles.username`	593,781	593781	19.1%	T
`possible_street_addresses`	62,448	62448	2.0%	T
`possible_street_addresses.address_line_2`	17,000	17000	0.5%	T
`possible_street_addresses.continent`	62,448	62448	2.0%	T
`possible_street_addresses.country`	62,448	62448	2.0%	T
`possible_street_addresses.first_seen`	62,448	62448	2.0%	T
`possible_street_addresses.geo`	62,230	62230	2.0%	T
`possible_street_addresses.last_seen`	62,448	62448	2.0%	T
`possible_street_addresses.locality`	62,448	62448	2.0%	T
`possible_street_addresses.metro`	57,447	57447	1.8%	T
`possible_street_addresses.name`	62,448	62448	2.0%	T
`possible_street_addresses.num_sources`	62,448	62448	2.0%	T
`possible_street_addresses.postal_code`	62,089	62089	2.0%	T
`possible_street_addresses.region`	62,448	62448	2.0%	T
`possible_street_addresses.street_address`	62,448	62448	2.0%	T
`profiles`	3,116,626	3116626	100.0%
`profiles.first_seen`	3,116,626	3116626	100.0%	T
`profiles.id`	823,927	823927	26.4%
`profiles.last_seen`	3,116,626	3116626	100.0%	T
`profiles.network`	3,116,626	3116626	100.0%
`profiles.num_sources`	3,116,626	3116626	100.0%	T
`profiles.url`	3,116,626	3116626	100.0%
`profiles.username`	3,116,626	3116626	100.0%
`recommended_personal_email`	1,604,426	1604426	51.5%
`regions`	1,517,489	1517489	48.7%
`sex`	2,233,807	2233807	71.7%
`skills`	738,145	738145	23.7%
`street_addresses`	259,006	259006	8.3%
`street_addresses.address_line_2`	143,186	143186	4.6%
`street_addresses.continent`	259,006	259006	8.3%
`street_addresses.country`	259,006	259006	8.3%
`street_addresses.first_seen`	259,006	259006	8.3%	T
`street_addresses.geo`	257,963	257963	8.3%
`street_addresses.last_seen`	259,006	259006	8.3%	T
`street_addresses.locality`	259,006	259006	8.3%
`street_addresses.metro`	247,361	247361	7.9%
`street_addresses.name`	259,006	259006	8.3%
`street_addresses.num_sources`	259,006	259006	8.3%	T
`street_addresses.postal_code`	256,786	256786	8.2%
`street_addresses.region`	259,006	259006	8.3%
`street_addresses.street_address`	259,006	259006	8.3%
`summary`	470,815	470815	15.1%	T
`twitter_url`	491,206	491206	15.8%
`twitter_username`	491,206	491206	15.8%
`work_email`	303,229	303229	9.7%

Stats shown are accurate as of data version 26.0