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`	3,103,444	3103444	100.0%
`birth_date`	75,065	75065	2.4%
`birth_year`	154,548	154548	5.0%
`certifications`	262,263	262263	8.5%	T
`certifications.end_date`	199,471	199471	6.4%	T
`certifications.name`	262,263	262263	8.5%	T
`certifications.organization`	259,470	259470	8.4%	T
`certifications.start_date`	234,984	234984	7.6%	T
`countries`	1,791,917	1791917	57.7%
`education`	661,080	661080	21.3%
`education.degrees`	508,618	508618	16.4%
`education.end_date`	609,666	609666	19.6%
`education.gpa`	42,117	42117	1.4%
`education.majors`	542,805	542805	17.5%
`education.minors`	8,731	8731	0.3%
`education.raw`	623,830	623830	20.1%	T
`education.school`	638,085	638085	20.6%
`education.school.domain`	584,065	584065	18.8%
`education.school.facebook_url`	499,953	499953	16.1%
`education.school.id`	588,956	588956	19.0%
`education.school.linkedin_id`	507,352	507352	16.3%
`education.school.linkedin_url`	582,355	582355	18.8%
`education.school.location`	577,663	577663	18.6%
`education.school.location.continent`	577,663	577663	18.6%
`education.school.location.country`	577,655	577655	18.6%
`education.school.location.locality`	443,795	443795	14.3%
`education.school.location.name`	577,663	577663	18.6%
`education.school.location.region`	508,122	508122	16.4%
`education.school.name`	638,080	638080	20.6%
`education.school.raw`	637,268	637268	20.5%	T
`education.school.twitter_url`	484,002	484002	15.6%
`education.school.type`	626,430	626430	20.2%
`education.school.website`	584,065	584065	18.8%
`education.start_date`	595,508	595508	19.2%
`education.summary`	276,720	276720	8.9%	T
`emails`	2,065,433	2065433	66.6%
`emails.address`	2,065,433	2065433	66.6%
`emails.first_seen`	2,065,433	2065433	66.6%	T
`emails.last_seen`	2,065,433	2065433	66.6%	T
`emails.num_sources`	2,065,433	2065433	66.6%	T
`emails.type`	1,723,445	1723445	55.5%
`experience`	953,516	953516	30.7%
`experience.company`	949,341	949341	30.6%
`experience.company.facebook_url`	722,335	722335	23.3%
`experience.company.founded`	774,643	774643	25.0%
`experience.company.id`	801,410	801410	25.8%
`experience.company.industry`	796,166	796166	25.7%
`experience.company.linkedin_id`	801,410	801410	25.8%
`experience.company.linkedin_url`	801,410	801410	25.8%
`experience.company.location`	794,721	794721	25.6%
`experience.company.location.address_line_2`	227,148	227148	7.3%
`experience.company.location.continent`	794,048	794048	25.6%
`experience.company.location.country`	794,720	794720	25.6%
`experience.company.location.geo`	738,130	738130	23.8%
`experience.company.location.locality`	736,000	736000	23.7%
`experience.company.location.metro`	538,292	538292	17.3%
`experience.company.location.name`	794,721	794721	25.6%
`experience.company.location.postal_code`	551,765	551765	17.8%
`experience.company.location.region`	763,805	763805	24.6%
`experience.company.location.street_address`	567,827	567827	18.3%
`experience.company.name`	949,341	949341	30.6%
`experience.company.raw`	940,477	940477	30.3%	T
`experience.company.size`	801,410	801410	25.8%
`experience.company.ticker`	363,022	363022	11.7%	T
`experience.company.twitter_url`	733,584	733584	23.6%
`experience.company.type`	801,410	801410	25.8%	T
`experience.company.website`	791,718	791718	25.5%
`experience.end_date`	638,050	638050	20.6%
`experience.first_seen`	953,516	953516	30.7%	T
`experience.is_primary`	953,516	953516	30.7%
`experience.last_seen`	953,516	953516	30.7%	T
`experience.location_names`	571,218	571218	18.4%
`experience.num_sources`	953,516	953516	30.7%	T
`experience.start_date`	667,659	667659	21.5%
`experience.summary`	607,103	607103	19.6%	T
`experience.title`	720,247	720247	23.2%
`experience.title.levels`	585,368	585368	18.9%
`experience.title.name`	720,247	720247	23.2%
`experience.title.raw`	720,247	720247	23.2%	T
`experience.title.role`	660,879	660879	21.3%
`experience.title.sub_role`	602,611	602611	19.4%
`facebook_friends`	78,066	78066	2.5%	T
`facebook_id`	280,222	280222	9.0%
`facebook_url`	437,186	437186	14.1%
`facebook_username`	437,186	437186	14.1%
`first_name`	3,103,444	3103444	100.0%
`first_seen`	3,103,444	3103444	100.0%	T
`full_name`	3,103,444	3103444	100.0%
`github_url`	3,103,444	3103444	100.0%
`github_username`	3,103,444	3103444	100.0%
`headline`	245,634	245634	7.9%	T
`id`	3,103,444	3103444	100.0%
`industry`	679,924	679924	21.9%
`inferred_salary`	542,548	542548	17.5%	T
`inferred_years_experience`	672,392	672392	21.7%	T
`interests`	330,742	330742	10.7%
`job_company_12mo_employee_growth_rate`	543,632	543632	17.5%
`job_company_employee_count`	548,401	548401	17.7%
`job_company_facebook_url`	353,891	353891	11.4%
`job_company_founded`	476,397	476397	15.4%
`job_company_id`	548,433	548433	17.7%
`job_company_industry`	503,667	503667	16.2%
`job_company_inferred_revenue`	548,401	548401	17.7%
`job_company_linkedin_id`	548,433	548433	17.7%
`job_company_linkedin_url`	548,433	548433	17.7%
`job_company_location_address_line_2`	43,067	43067	1.4%
`job_company_location_continent`	525,206	525206	16.9%
`job_company_location_country`	527,155	527155	17.0%
`job_company_location_geo`	427,679	427679	13.8%
`job_company_location_locality`	432,178	432178	13.9%
`job_company_location_metro`	276,550	276550	8.9%
`job_company_location_name`	527,172	527172	17.0%
`job_company_location_postal_code`	270,624	270624	8.7%
`job_company_location_region`	473,511	473511	15.3%
`job_company_location_street_address`	264,874	264874	8.5%
`job_company_name`	610,820	610820	19.7%
`job_company_size`	548,433	548433	17.7%
`job_company_ticker`	118,881	118881	3.8%	T
`job_company_total_funding_raised`	252,890	252890	8.1%
`job_company_twitter_url`	389,859	389859	12.6%
`job_company_type`	548,433	548433	17.7%	T
`job_company_website`	526,519	526519	17.0%
`job_history`	957,618	957618	30.9%	T
`job_history.company_id`	810,102	810102	26.1%	T
`job_history.company_name`	953,836	953836	30.7%	T
`job_history.first_seen`	957,618	957618	30.9%	T
`job_history.last_seen`	957,618	957618	30.9%	T
`job_history.num_sources`	957,618	957618	30.9%	T
`job_history.title`	724,371	724371	23.3%	T
`job_last_changed`	622,551	622551	20.1%	T
`job_last_verified`	622,551	622551	20.1%	T
`job_onet_broad_occupation`	374,676	374676	12.1%	T
`job_onet_code`	374,676	374676	12.1%	T
`job_onet_major_group`	374,676	374676	12.1%	T
`job_onet_minor_group`	374,676	374676	12.1%	T
`job_onet_specific_occupation`	374,676	374676	12.1%	T
`job_onet_specific_occupation_detail`	246,542	246542	7.9%	T
`job_start_date`	603,290	603290	19.4%
`job_summary`	235,806	235806	7.6%	T
`job_title`	621,793	621793	20.0%
`job_title_levels`	351,941	351941	11.3%
`job_title_role`	411,405	411405	13.3%
`job_title_sub_role`	265,449	265449	8.6%
`languages`	439,686	439686	14.2%	T
`languages.name`	439,686	439686	14.2%	T
`languages.proficiency`	112,211	112211	3.6%	T
`last_initial`	3,103,444	3103444	100.0%
`last_name`	3,102,546	3102546	100.0%
`linkedin_connections`	685,058	685058	22.1%	T
`linkedin_id`	678,778	678778	21.9%
`linkedin_url`	755,186	755186	24.3%
`linkedin_username`	755,186	755186	24.3%
`location_address_line_2`	42,271	42271	1.4%
`location_continent`	1,789,424	1789424	57.7%
`location_country`	1,788,033	1788033	57.6%
`location_geo`	1,303,312	1303312	42.0%
`location_last_updated`	705,660	705660	22.7%
`location_locality`	1,372,553	1372553	44.2%
`location_metro`	587,360	587360	18.9%
`location_name`	1,788,094	1788094	57.6%
`location_names`	1,430,334	1430334	46.1%
`location_postal_code`	194,651	194651	6.3%
`location_region`	1,464,710	1464710	47.2%
`location_street_address`	193,307	193307	6.2%
`middle_initial`	426,710	426710	13.7%
`middle_name`	315,157	315157	10.2%
`mobile_phone`	299,968	299968	9.7%
`name_aliases`	191,282	191282	6.2%	T
`num_records`	3,103,444	3103444	100.0%	T
`num_sources`	3,103,444	3103444	100.0%	T
`personal_emails`	1,573,262	1573262	50.7%
`phone_numbers`	404,360	404360	13.0%
`phones`	404,360	404360	13.0%	T
`phones.first_seen`	404,360	404360	13.0%	T
`phones.last_seen`	404,360	404360	13.0%	T
`phones.num_sources`	404,360	404360	13.0%	T
`phones.number`	404,360	404360	13.0%	T
`possible_birth_dates`	83,430	83430	2.7%	T
`possible_emails`	490,024	490024	15.8%	T
`possible_emails.address`	490,024	490024	15.8%	T
`possible_emails.first_seen`	490,024	490024	15.8%	T
`possible_emails.last_seen`	490,024	490024	15.8%	T
`possible_emails.num_sources`	490,024	490024	15.8%	T
`possible_emails.type`	372,709	372709	12.0%	T
`possible_location_names`	671,592	671592	21.6%	T
`possible_phones`	124,944	124944	4.0%	T
`possible_phones.first_seen`	124,944	124944	4.0%	T
`possible_phones.last_seen`	124,944	124944	4.0%	T
`possible_phones.num_sources`	124,944	124944	4.0%	T
`possible_phones.number`	124,944	124944	4.0%	T
`possible_profiles`	597,407	597407	19.2%	T
`possible_profiles.first_seen`	597,407	597407	19.2%	T
`possible_profiles.id`	89,683	89683	2.9%	T
`possible_profiles.last_seen`	597,407	597407	19.2%	T
`possible_profiles.network`	597,407	597407	19.2%	T
`possible_profiles.num_sources`	597,407	597407	19.2%	T
`possible_profiles.url`	597,407	597407	19.2%	T
`possible_profiles.username`	587,565	587565	18.9%	T
`possible_street_addresses`	62,909	62909	2.0%	T
`possible_street_addresses.address_line_2`	16,794	16794	0.5%	T
`possible_street_addresses.continent`	62,909	62909	2.0%	T
`possible_street_addresses.country`	62,909	62909	2.0%	T
`possible_street_addresses.first_seen`	62,909	62909	2.0%	T
`possible_street_addresses.geo`	62,676	62676	2.0%	T
`possible_street_addresses.last_seen`	62,909	62909	2.0%	T
`possible_street_addresses.locality`	62,909	62909	2.0%	T
`possible_street_addresses.metro`	57,788	57788	1.9%	T
`possible_street_addresses.name`	62,909	62909	2.0%	T
`possible_street_addresses.num_sources`	62,909	62909	2.0%	T
`possible_street_addresses.postal_code`	62,506	62506	2.0%	T
`possible_street_addresses.region`	62,909	62909	2.0%	T
`possible_street_addresses.street_address`	62,909	62909	2.0%	T
`profiles`	3,103,444	3103444	100.0%
`profiles.first_seen`	3,103,444	3103444	100.0%	T
`profiles.id`	797,962	797962	25.7%
`profiles.last_seen`	3,103,444	3103444	100.0%	T
`profiles.network`	3,103,444	3103444	100.0%
`profiles.num_sources`	3,103,444	3103444	100.0%	T
`profiles.url`	3,103,444	3103444	100.0%
`profiles.username`	3,103,444	3103444	100.0%
`recommended_personal_email`	1,573,084	1573084	50.7%
`regions`	1,508,244	1508244	48.6%
`sex`	2,230,148	2230148	71.9%
`skills`	735,594	735594	23.7%
`street_addresses`	250,720	250720	8.1%
`street_addresses.address_line_2`	142,341	142341	4.6%
`street_addresses.continent`	250,720	250720	8.1%
`street_addresses.country`	250,720	250720	8.1%
`street_addresses.first_seen`	250,720	250720	8.1%	T
`street_addresses.geo`	249,792	249792	8.0%
`street_addresses.last_seen`	250,720	250720	8.1%	T
`street_addresses.locality`	250,720	250720	8.1%
`street_addresses.metro`	239,674	239674	7.7%
`street_addresses.name`	250,720	250720	8.1%
`street_addresses.num_sources`	250,720	250720	8.1%	T
`street_addresses.postal_code`	248,607	248607	8.0%
`street_addresses.region`	250,720	250720	8.1%
`street_addresses.street_address`	250,720	250720	8.1%
`summary`	466,388	466388	15.0%	T
`twitter_url`	511,478	511478	16.5%
`twitter_username`	511,478	511478	16.5%
`work_email`	316,139	316139	10.2%

Stats shown are accurate as of data version 28.2