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`	3,111,488	3111488	100.0%
`birth_date`	76,240	76240	2.5%
`birth_year`	156,601	156601	5.0%
`certifications`	261,715	261715	8.4%	T
`certifications.end_date`	198,322	198322	6.4%	T
`certifications.name`	261,715	261715	8.4%	T
`certifications.organization`	258,807	258807	8.3%	T
`certifications.start_date`	234,105	234105	7.5%	T
`countries`	1,798,283	1798283	57.8%
`education`	665,077	665077	21.4%
`education.degrees`	511,465	511465	16.4%
`education.end_date`	612,399	612399	19.7%
`education.gpa`	42,355	42355	1.4%
`education.majors`	546,086	546086	17.6%
`education.minors`	8,797	8797	0.3%
`education.raw`	627,395	627395	20.2%	T
`education.school`	641,786	641786	20.6%
`education.school.domain`	587,189	587189	18.9%
`education.school.facebook_url`	502,999	502999	16.2%
`education.school.id`	592,111	592111	19.0%
`education.school.linkedin_id`	509,589	509589	16.4%
`education.school.linkedin_url`	591,897	591897	19.0%
`education.school.location`	580,758	580758	18.7%
`education.school.location.continent`	580,758	580758	18.7%
`education.school.location.country`	580,751	580751	18.7%
`education.school.location.locality`	446,345	446345	14.3%
`education.school.location.name`	580,758	580758	18.7%
`education.school.location.region`	510,809	510809	16.4%
`education.school.name`	641,781	641781	20.6%
`education.school.raw`	640,988	640988	20.6%	T
`education.school.twitter_url`	487,051	487051	15.7%
`education.school.type`	630,011	630011	20.2%
`education.school.website`	587,189	587189	18.9%
`education.start_date`	598,111	598111	19.2%
`education.summary`	277,979	277979	8.9%	T
`emails`	2,073,383	2073383	66.6%
`emails.address`	2,073,383	2073383	66.6%
`emails.first_seen`	2,073,383	2073383	66.6%	T
`emails.last_seen`	2,073,383	2073383	66.6%	T
`emails.num_sources`	2,073,383	2073383	66.6%	T
`emails.type`	1,730,005	1730005	55.6%
`experience`	959,214	959214	30.8%
`experience.company`	955,034	955034	30.7%
`experience.company.facebook_url`	723,771	723771	23.3%
`experience.company.founded`	779,918	779918	25.1%
`experience.company.id`	806,716	806716	25.9%
`experience.company.industry`	801,486	801486	25.8%
`experience.company.linkedin_id`	806,716	806716	25.9%
`experience.company.linkedin_url`	806,716	806716	25.9%
`experience.company.location`	800,018	800018	25.7%
`experience.company.location.address_line_2`	231,719	231719	7.4%
`experience.company.location.continent`	799,339	799339	25.7%
`experience.company.location.country`	800,017	800017	25.7%
`experience.company.location.geo`	743,351	743351	23.9%
`experience.company.location.locality`	741,293	741293	23.8%
`experience.company.location.metro`	542,716	542716	17.4%
`experience.company.location.name`	800,018	800018	25.7%
`experience.company.location.postal_code`	555,684	555684	17.9%
`experience.company.location.region`	769,046	769046	24.7%
`experience.company.location.street_address`	572,746	572746	18.4%
`experience.company.name`	955,034	955034	30.7%
`experience.company.raw`	946,068	946068	30.4%	T
`experience.company.size`	806,716	806716	25.9%
`experience.company.ticker`	365,102	365102	11.7%	T
`experience.company.twitter_url`	735,420	735420	23.6%
`experience.company.type`	806,716	806716	25.9%	T
`experience.company.website`	797,054	797054	25.6%
`experience.end_date`	642,764	642764	20.7%
`experience.first_seen`	959,214	959214	30.8%	T
`experience.is_primary`	959,214	959214	30.8%
`experience.last_seen`	959,214	959214	30.8%	T
`experience.location_names`	575,587	575587	18.5%
`experience.num_sources`	959,214	959214	30.8%	T
`experience.start_date`	672,255	672255	21.6%
`experience.summary`	611,313	611313	19.6%	T
`experience.title`	725,218	725218	23.3%
`experience.title.levels`	589,205	589205	18.9%
`experience.title.name`	725,218	725218	23.3%
`experience.title.raw`	725,218	725218	23.3%	T
`experience.title.role`	665,498	665498	21.4%
`experience.title.sub_role`	606,719	606719	19.5%
`facebook_friends`	78,819	78819	2.5%	T
`facebook_id`	281,168	281168	9.0%
`facebook_url`	440,493	440493	14.2%
`facebook_username`	440,493	440493	14.2%
`first_name`	3,111,488	3111488	100.0%
`first_seen`	3,111,488	3111488	100.0%	T
`full_name`	3,111,488	3111488	100.0%
`github_url`	3,111,488	3111488	100.0%
`github_username`	3,111,488	3111488	100.0%
`id`	3,111,488	3111488	100.0%
`industry`	683,911	683911	22.0%
`inferred_salary`	549,086	549086	17.6%	T
`inferred_years_experience`	676,381	676381	21.7%	T
`interests`	333,116	333116	10.7%
`job_company_12mo_employee_growth_rate`	550,506	550506	17.7%
`job_company_employee_count`	555,932	555932	17.9%
`job_company_facebook_url`	360,794	360794	11.6%
`job_company_founded`	484,488	484488	15.6%
`job_company_id`	555,962	555962	17.9%
`job_company_industry`	511,836	511836	16.4%
`job_company_inferred_revenue`	555,932	555932	17.9%
`job_company_linkedin_id`	555,962	555962	17.9%
`job_company_linkedin_url`	555,962	555962	17.9%
`job_company_location_address_line_2`	44,854	44854	1.4%
`job_company_location_continent`	532,696	532696	17.1%
`job_company_location_country`	534,690	534690	17.2%
`job_company_location_geo`	434,406	434406	14.0%
`job_company_location_locality`	439,184	439184	14.1%
`job_company_location_metro`	281,980	281980	9.1%
`job_company_location_name`	534,706	534706	17.2%
`job_company_location_postal_code`	274,490	274490	8.8%
`job_company_location_region`	480,934	480934	15.5%
`job_company_location_street_address`	270,148	270148	8.7%
`job_company_name`	617,669	617669	19.9%
`job_company_size`	555,962	555962	17.9%
`job_company_ticker`	120,206	120206	3.9%	T
`job_company_total_funding_raised`	255,016	255016	8.2%
`job_company_twitter_url`	395,210	395210	12.7%
`job_company_type`	555,962	555962	17.9%	T
`job_company_website`	533,955	533955	17.2%
`job_history`	962,853	962853	30.9%	T
`job_history.company_id`	814,879	814879	26.2%	T
`job_history.company_name`	959,062	959062	30.8%	T
`job_history.first_seen`	962,853	962853	30.9%	T
`job_history.last_seen`	962,853	962853	30.9%	T
`job_history.num_sources`	962,853	962853	30.9%	T
`job_history.title`	728,876	728876	23.4%	T
`job_last_changed`	629,367	629367	20.2%	T
`job_last_verified`	629,367	629367	20.2%	T
`job_onet_broad_occupation`	385,949	385949	12.4%	T
`job_onet_code`	385,949	385949	12.4%	T
`job_onet_major_group`	385,949	385949	12.4%	T
`job_onet_minor_group`	385,949	385949	12.4%	T
`job_onet_specific_occupation`	385,949	385949	12.4%	T
`job_onet_specific_occupation_detail`	253,790	253790	8.2%	T
`job_start_date`	610,088	610088	19.6%
`job_summary`	237,652	237652	7.6%	T
`job_title`	628,591	628591	20.2%
`job_title_levels`	355,767	355767	11.4%
`job_title_role`	416,312	416312	13.4%
`job_title_sub_role`	268,528	268528	8.6%
`languages`	441,987	441987	14.2%	T
`languages.name`	441,987	441987	14.2%	T
`languages.proficiency`	112,512	112512	3.6%	T
`last_initial`	3,111,488	3111488	100.0%
`last_name`	3,110,588	3110588	100.0%
`linkedin_connections`	691,516	691516	22.2%	T
`linkedin_id`	721,492	721492	23.2%
`linkedin_url`	759,380	759380	24.4%
`linkedin_username`	759,380	759380	24.4%
`location_address_line_2`	61,408	61408	2.0%
`location_continent`	1,795,786	1795786	57.7%
`location_country`	1,794,388	1794388	57.7%
`location_geo`	1,308,444	1308444	42.1%
`location_last_updated`	709,771	709771	22.8%
`location_locality`	1,377,888	1377888	44.3%
`location_metro`	592,969	592969	19.1%
`location_name`	1,794,450	1794450	57.7%
`location_names`	1,435,374	1435374	46.1%
`location_postal_code`	197,457	197457	6.3%
`location_region`	1,469,915	1469915	47.2%
`location_street_address`	196,000	196000	6.3%
`middle_initial`	428,057	428057	13.8%
`middle_name`	315,316	315316	10.1%
`mobile_phone`	309,097	309097	9.9%
`name_aliases`	190,376	190376	6.1%	T
`num_records`	3,111,488	3111488	100.0%	T
`num_sources`	3,111,488	3111488	100.0%	T
`personal_emails`	1,580,452	1580452	50.8%
`phone_numbers`	407,998	407998	13.1%
`phones`	407,998	407998	13.1%	T
`phones.first_seen`	407,998	407998	13.1%	T
`phones.last_seen`	407,998	407998	13.1%	T
`phones.num_sources`	407,998	407998	13.1%	T
`phones.number`	407,998	407998	13.1%	T
`possible_birth_dates`	84,440	84440	2.7%	T
`possible_emails`	500,079	500079	16.1%	T
`possible_emails.address`	500,079	500079	16.1%	T
`possible_emails.first_seen`	500,079	500079	16.1%	T
`possible_emails.last_seen`	500,079	500079	16.1%	T
`possible_emails.num_sources`	500,079	500079	16.1%	T
`possible_emails.type`	378,961	378961	12.2%	T
`possible_location_names`	675,650	675650	21.7%	T
`possible_phones`	135,066	135066	4.3%	T
`possible_phones.first_seen`	135,066	135066	4.3%	T
`possible_phones.last_seen`	135,066	135066	4.3%	T
`possible_phones.num_sources`	135,066	135066	4.3%	T
`possible_phones.number`	135,066	135066	4.3%	T
`possible_profiles`	598,817	598817	19.2%	T
`possible_profiles.first_seen`	598,817	598817	19.2%	T
`possible_profiles.id`	121,249	121249	3.9%	T
`possible_profiles.last_seen`	598,817	598817	19.2%	T
`possible_profiles.network`	598,817	598817	19.2%	T
`possible_profiles.num_sources`	598,817	598817	19.2%	T
`possible_profiles.url`	598,817	598817	19.2%	T
`possible_profiles.username`	588,904	588904	18.9%	T
`possible_street_addresses`	63,680	63680	2.0%	T
`possible_street_addresses.address_line_2`	17,017	17017	0.5%	T
`possible_street_addresses.continent`	63,680	63680	2.0%	T
`possible_street_addresses.country`	63,680	63680	2.0%	T
`possible_street_addresses.first_seen`	63,680	63680	2.0%	T
`possible_street_addresses.geo`	63,441	63441	2.0%	T
`possible_street_addresses.last_seen`	63,680	63680	2.0%	T
`possible_street_addresses.locality`	63,680	63680	2.0%	T
`possible_street_addresses.metro`	58,498	58498	1.9%	T
`possible_street_addresses.name`	63,680	63680	2.0%	T
`possible_street_addresses.num_sources`	63,680	63680	2.0%	T
`possible_street_addresses.postal_code`	63,269	63269	2.0%	T
`possible_street_addresses.region`	63,680	63680	2.0%	T
`possible_street_addresses.street_address`	63,680	63680	2.0%	T
`profiles`	3,111,488	3111488	100.0%
`profiles.first_seen`	3,111,488	3111488	100.0%	T
`profiles.id`	837,356	837356	26.9%
`profiles.last_seen`	3,111,488	3111488	100.0%	T
`profiles.network`	3,111,488	3111488	100.0%
`profiles.num_sources`	3,111,488	3111488	100.0%	T
`profiles.url`	3,111,488	3111488	100.0%
`profiles.username`	3,111,488	3111488	100.0%
`recommended_personal_email`	1,580,272	1580272	50.8%
`regions`	1,513,551	1513551	48.6%
`sex`	2,236,635	2236635	71.9%
`skills`	739,542	739542	23.8%
`street_addresses`	253,951	253951	8.2%
`street_addresses.address_line_2`	144,462	144462	4.6%
`street_addresses.continent`	253,951	253951	8.2%
`street_addresses.country`	253,951	253951	8.2%
`street_addresses.first_seen`	253,951	253951	8.2%	T
`street_addresses.geo`	253,007	253007	8.1%
`street_addresses.last_seen`	253,951	253951	8.2%	T
`street_addresses.locality`	253,951	253951	8.2%
`street_addresses.metro`	242,797	242797	7.8%
`street_addresses.name`	253,951	253951	8.2%
`street_addresses.num_sources`	253,951	253951	8.2%	T
`street_addresses.postal_code`	251,822	251822	8.1%
`street_addresses.region`	253,951	253951	8.2%
`street_addresses.street_address`	253,951	253951	8.2%
`summary`	467,721	467721	15.0%	T
`twitter_url`	502,796	502796	16.2%
`twitter_username`	502,796	502796	16.2%
`work_email`	287,040	287040	9.2%

Stats shown are accurate as of data version 28.0