Note 1: This file contains UTF-8 encoded text in several places, so it is recommended to view it with a program that can decode UTF-8 characters.

Note 2: This list is not entirely exhaustive. Some packages are still awaiting verification and review, and it is also possible that an entry was omitted due to an oversight (which can happen given the volume of material). Furthermore, by the time you read this list, new items have likely already been added.
So, if you don't find what interests you there, please ask us about availability. Furthermore, even if we don't currently have the item you're looking for in stock, we can always order it for you through our network of partners.

Regarding pricing: for bulk purchases, the approximate cost is around USD 100 per million records for a small order, though the price can be significantly lower for larger orders. However, pricing depends not only on the order volume but also on the type of data and its recency. Just do your selection and contact us to learn our proposal.

Last updated on 2026-09-17
============================================================

* Argentina

-- 14m Marketing inferido 500 MB packed -- sample: argentina/Marketing_inferido.tsv
New DNI	Older DNI	Gender	Full Name	DOB	Street	Street Number	City	Postal Code	Province	Phone Code	Phone Number	E-mail Address

-- 15m Marketing procompra 500 MB packed -- sample: argentina/Marketing_procompra.tsv
DNI number	Gender	Full Name	DOB	Street	Street Number	City	ZIP Code	Province	Phone Code	Phone Number	E-mail Address

-- 67m autos Argentina 1.5 GB packed -- sample: argentina/autos_total.tsv
Registro	Dominio	Dominioa	Origen	Tipovehic	Ffm	Fabrica	Marca	Modelovers	Tipotrans	Ano	Patenta	Transacc	Tipodoc	Numedoc	Cuitcuil	Titular	Porcentual	Calle	Numero	Piso	Depto	Cp	Localidad	Provincia	Ob

-- 6.8m laboral marketing 2024 900 MB packed -- sample: argentina/laboral_marketing.tsv
Número de DNI	Nombre completo	Fecha de nacimiento	Sexo	Calle	Número de calle	Código postal	Ciudad	Provincia	Código telefónico	Número de teléfono	Correo electrónico

-- 1.6m subsidios argenta 400 MB packed -- sample: argentina/subsidios_argenta.tsv
dni	gender	full name	street addr	street#	city	province	phone code	phone	email

-- 14.5m subsidios ife 520 MB packed -- sample: argentina/subsidios_ife.tsv
new dni	old dni	gender	full name	date of birth	street	street#	city	zip code	province	phone code	phone	email


* Australia

-- 1.2m dymocks customers -- sample: australia/1.2M-dymocks_customers.csv
customer_id_,first_name,last_name,FullName,gender,email_address_,mobile_country_,mobile_number_,dob,postal_street_1_,state_,postal_code_,city_,AccountStatus,account_status

-- 6.9m appen customers -- sample: australia/6.9M-appen_customers.csv
id|name|email|..|current_sign_in_at|..

-- 6m qantas passengers -- sample: australia/qantas_passengers.tsv
Title	Name	Phone	Email	Birthdate	CurrencyIsoCode	latitude	longitude	CreatedDate	LastModifiedDate


* Belgium

-- 3m Belgium consumer records (various type) -- samples: belgium/belgium3m/*.csv
CLEF,ID_IMPORT,CONTENTIEUX,TYPE_RECORD,ID_SERIE,NUM,RECORD,NUM_DEBITEUR,NOM,RUE,CP,LOCALITE,PAYS,LANGUE,TEL,FAC_NOM,FAC_RUE,FAC_CP,FAC_LOCALITE,FAC_PAYS,FAC_LANGUE,NUM_DOC,EXERCICE_COMPTABLE,POSTE_PIECE,VOLET,NUM_DOC_RECOUVREMENT,EXERCICE_RECOUVREMENT,SIGNE,MONTANT,DERNIER_RAPPEL_PHASE,DERNIER_RAPPEL_DATE,DATE_PIECE,NUM_DOSSIER,NAIS,TYPE_PIECE,INCONNU,NUM_NAT,AUTRE,REJET,SSE,SDO,SPR,SST,TROUVE,NBR,ID_PRINCIPAL

TYPE_SIG,TYPE_SIG_SEQ,TYPE_PERSON,ID_PERSONNE,ID_TYPE_EMAIL,ID_TYPE_EMAIL_SEQ,ID_EMAIL,COMMENTS,ID_C,GDH_C,ID_M,GDH_M,EMAIL_LEVEL,EMAIL_MASTER

...and other kind...


* Brazil

-- 250m consumer -- sample: brazil/brazil_250m.csv
co_municipio_ibge;ds_complemento;dt_atualizacao_rfb;dt_processamento;no_bairro;no_logradouro;no_municipio;no_pessoa;nu_cep;nu_cpf_cnpj_pessoa;nu_ddd;nu_ddi;nu_logradouro;nu_ramal;nu_telefone;sg_uf;st_registro_ativo

-- business 7m + decision_makers 8.5m -- samples: brazil/tim_business_7m.tsv brazil/tim_dmakers_8.5m.tsv
tdoc	doc	nome	tp_og	lograd	num	compl	bairro	cidade	uf	cep	ddd	tel	operadora

-- brazil businessmen 2m -- sample: brazil/br_biz_2m.csv
VL JOAQUINA	17800000	ADAMANTINA		18	macherti@uol.com.br	TSUNEKISH SAKAI	VALDECIR MACHERTI	30	F	35211579	R	SP	UUU

-- brazil consumer 1m -- sample: brazil/br_consumer_1m.csv
22767488					FRANCISCO ROQUE	22767494	08886636849	SUEYOSHI SUZUKI	22767501	04780299853	SL 3 SJ	ALBERT TANNOUS FARAH	22767506	11393556868	EDITH BARCELLOS
22767532					JUDITH TIE FUGITA BONFILHO	22767494	22767535	45838119853	ANTONIO CARLOS GOSSON	22767546	37246658815	R BRAZOPOLIS	04307060	11393556868	EDITH BARCELLOS

-- brazil consumer 22m -- sample: brazil/br_consumer_22m.csv
Nome	Telefone	Documento	Endereço	Numero	Bairro	Cidade	Estado	DDD	CEP

-- whitepages 3m -- sample: brazil/br_whitepages_3m.csv
JOSE CARLOS PESSANHA DA CONCEICAO	  1587	03	27594076753	1074633358	42	19970829	19491124	21	33145840	R.TARRAFAS	 246	QU 65 LT.30	PACIENCIA	23585-25	R DE JANEIRO	RJ

-- consumer records with e-mails 5.8m -- sample: brazil/br_with-emails_5.8m.csv
CEPf	DDD	FONE	EMAIL	NOME	TP_LOGRADO	LOGRADOURO	NUMERO	COMPLEMENT	BAIRRO	CIDADE	NovoCep	UF	NovaCidade

-- individuals 7.6m -- sample: brazil/brazil_individuals_7.6m.csv
16422464843	650101	GUILHERME OLIVEIRA PENNA SAMBI	R.AURORA	983	CJ 33	CENTRO	01209001	SAO PAULO	SP	011	 2205347

-- brazil businessmen 5.8m -- sample: brazil/br_businessmen_5.8m.tsv
CEPf	DDD	FONE	EMAIL	NOME	TP_LOGRADO	LOGRADOURO	NUMERO	COMPLEMENT	BAIRRO	CIDADE	NovoCep	UF	NovaCidade

-- individuals 1.9m -- sample: brazil/br_indiv_1.9m.tsv
	NOME	DDD	TELEFONE	E.MAIL

-- Brazil e-mails 5m (list of e-mail addresses)

-- 20m travel agency customers -- sample: brazil/br_hurb.com_20m.csv
name, last name, email, password, phone1, phone2, date_birth, date_registration, ip_user, fb_id, fb

-- 700k bank clients -- sample: brazil/br_bank_clients_700k.tsv
CPF	Nome	Nascimento	Idade	Beneficio	Especie	D I B	  Salario  	  Margem  	Meio Pagto	Banco Emprestimo	Nome Banco	Nro Contrato	  Valor Emprestimo  	Data Inicio	Data Final	Qtd Parcelas	  Valor Parcela

-- 220m detailed Brazilian consumer data -- sample: brazil/SerasaExperian.txt
CPF|Nome Completo|Sexo / Genero|Data de Nascimento

-- 800k KYC with photos -- sample: brazil/br_kyc_800k.csv
ID, full name, DOB, parent's name, phone, base64-encoded official photo 3x4 cm

-- eBay Brazil 140k -- sample: brazil/ebay_brazil_140k.tsv
email	name	address	city	state	zip	country	phone	date of birth

-- tvca 230k -- sample: brazil/br_tvca_230k.csv
id,id_cliente,id_space,qualification_id,auth_email,auth_password,chat_user_id_preferencial,email_user_id_preferencial,status,origem,atributos_extras,deleted_at,created_at,updated_at,v4_id,websocket_connection,websocket_connection_timestamp

-- VIVO customers 28m+32m: samples: brazil/vivo_fx_28m.csv brazil/vivo_pr_32m.csv
TELEFONE,DATA_ATIVACAO,DATA_RETIRADA,STATUS_PRODUTO,TECNOLOGIA,TECNOLOGIA_BANDA,DOCUMENTO,TIPO_DOCUMENTO,NOME_CLIENTE,TIPO_CLIENTE,TIPO_ENDERECO,ENDERECO,NUMERO_ENDERECO,COMPL_ENDERECO,CEP,CEL_CONTATO,FIXO_CONTATO,EMAIL,UF,REGIAO,BAIRRO

telefone,DT_PRMR_RCRG_LNHA,DT_ULTM_RCRG_LNHA,DS_PLTF,uf,TIPO_PESSOA,DATA_INSTALACAO,telefone_sec,DS_ESTD_LNHA,DS_PRDT,nome,cpf,DS_EMIL,ID_TIPO_ENDR,DT_VGNC_INCL,rua,num,compl,bairro,cep,MAIOR_ATRASO,MENOR_ATRASO,FLG_DIVIDA,ANO_MES_CNTA,vl_fatura

-- estantevirtual.com 5.4m -- sample: brazil/EstanteVirtual.csv
'André Pereira Garcia Ramos',andr6,ad59780b28484fbce029c439e58b7da888fbe4a3,2006-01-11 21:03:27,1,3,Rio de Janeiro,Rio de Janeiro,ceo@estantevirtual.com.br,,"Rua das Laranjeiras, 210",Laranjeiras,22240-003,2225-4675,,,1,abc123,500,André Garcia,Região Sudeste,Brasil,26361701700,,1,livro,2017-08-18 18:08:56,EV,2006-01-11 21:03:27,0,2008-05-21 14:37:55,,,0,0,2677,14937,,0,1,1,,,0

-- ...a few smaller lists and SQL dumps too...

-- tim brazil business + decision makers 7m + 8.5m -- samples: brazil/br_business.csv brazil/br_dms.csv
nome	tp_og	lograd	num	compl	bairro	cidade	uf	cep	ddd	tel	tdoc	doc
nome	tp_og	lograd	num	compl	bairro	cidade	uf	cep	ddd	tel	tdoc	doc

-- 15m Brazil consumer data 540 MB packed -- sample: brazil/Brazil_15m.csv
"LAST_NAME","FIRST_NAME","DOB","STREET","STREET_NUMBER","CITY","REGION","DISTRICT","POSTAL_CODE","PHONE","EMAIL","MOBILE_INTL"


* Canada

-- several smaller and older files, see descriptions in 'older' sub-dir

-- 2.8m giant tiger customers -- sample: canada/giant_tiger.csv
id,email,created_at,first_name,last_name,state,verified_email,phone,addresses.address1,addresses.address2,addresses.city,addresses.province,addresses.country,addresses.zip,addresses.phone,addresses.name

-- 23k teespring canada -- sample: canada/teespring.csv
1001080 , , Erin Head , 7802647355 , , , , , , Canada , 1 , , USD , , , 2015-12-03 04:37:01 , 2015-12-04 19:58:05 , , , 0 , 0 , 0 , 0 , 0


* China

-- 12306 130k 4.5 MB packed -- sample: china/12306.cn.tsv
E-mail Address	Password	Full Name	ID card number	Username	Phone Number

-- Chinese Communist Party members 2m -- sample: china/ccp_members.csv
id,name,sex,ethnicity,hometown,organization,id_card_num,address,mobile_num,phone_num,education

-- business directory 2m -- sample: china/china_biz_2m.csv
canban_num,canbaorenshu,chenglitime,cityid,cityname,comindustry,comname,comtype,comtypeid,dengjijiguan,edittime,email,fadingdaibiao,gongshanghao,govid,govname,industry_level1_id,industry_level2_id,industry_level3_id,isemail,islink,ismobile,jingyingfanwei,jingyingstatus,jingyingstatusid,linkurl,mobile,name,nashuirenshibihao,proid,proname,qixian,renyuanguimo,sourcetype,unionid,xinyongdaima,zhuce_money,zhuceaddress,zhucemoney,zuzhijigoudaima

-- jingwei 50m (8 GB packed) 2021 -- database of Chinese jingwei.com website; businessmen, politicians, decision makers etc. -- two large JSON files of size 24 GB each one
sample: china/jingwei.json

-- Zhilian detailed consumer data 1.6m -- sample: china/zhilian.tsv

-- 8m records with IDs -- sample: china/China_ID.csv
孙小锐,17305686289,安徽省界首市邴集乡纪庄,,412728199004191822

-- 80k china loan database -- sample: china/china_loan.tsv
姓名	借款金额	性别	籍贯	身份证到期日	身份证发证机关	户籍地址	住址	微信号	身份证号	手机号	教育程度	婚姻状态	供养子女数	居住类型	配偶姓名	配偶手机号	配偶单位	直系亲属姓名	直属关系	直属手机号	直属住址	单位名称	部门	职务	每月支新日	每月总支出	每月总收入	企业性质

-- 183m Chinese people 2 GB packed -- sample: china/china_183m.csv
Name, phone number, and national ID card number

-- 15.7m chinese porn forums members 1.5 GB packed -- sample: china/ch_pornfm.json

-- 82m chinese people 1.4 GB packed -- sample: china/82m_addresses.csv
刘云,13922320619,广州市黄埔区广园东路碧桂园凤凰城凤馨苑12街30座903
徐丽君,13872197706,咸宁市湖北省咸宁市重阳县紫晶城小区电梯房1002室

-- 25.4m Housing Provident Fund 500 MB packed -- sample: china/HPF.csv
侯承华,441225198608262533,13690267151,公积金,中国工商银行股份有限公司酒泉分行

-- 117m covid vaxxers QGXGYM 2.8 GB packed -- sample: china/QGXGYM_117M.csv
黄干华 320911198012287037 13062663228 新冠疫苗（Vero细胞）第一剂 2022—02—03 新冠疫苗（Vero细胞）第二剂 2022—02—24

-- aliPay 2*400m 2*2.5 GB packed-- sample: china/aliPay.tsv
15131121590	俊华	女
15131122804	秀梅	女

-- 2m chinese citizens -- sample: china/2m_citizen.csv
id,name,sex,ethnicity,hometown,organization,id_card_num,address,mobile_num,phone_num,education

-- 139m college students data 1.5 GB packed -- sample: china/main.tsv
name	username	unit	mobile	unique

-- 1.8m Shadong province health data -- sample: china/urtheworst.csv
Name, ID card number, registered address, health code, registration date


* Cyprus

-- 360k northern Cyprus inhabitants -- sample: cyprus/360k_northern_cyprus.tsv
d	AD	SOYAD	KIMLIK_NO	CINSIYET	DOGUM_TARIHI	DOGUM_YERI	UYRUK	TRNC_ADRES	MEMLEKET_ADRES	ANNE_ADI	ANNE_SOYADI	BABA_ADI	BABA_SOYADI	YABANCI_KIMLIK_NO	PASAPORT_NO	TELEFON_NO	ADAPASS_NO	OKUL


* France

-- 22m 1.3 GB packed -- sample: france/fr_22m.json
{"id":1817,"id_psp":"JSAQ-MHKH","nom":"KONE","prenom":"KEIRA-LOUISE","date_naissance":"2006-12-19T00:00:00.000+01:00","genre":"F","organisme":"CAF","situation":"Jeune","allocataire":{"qualite":"MME","prenom":"EDIAHO","nom":"CAMARA","courriel":"ELODIE3088@HOTMAIL.FR","telephone":"0651716602","matricule":"7328749","code_organisme":"941"},"adresse":{"nom_adresse_postale":"MME CAMARA EDIAHO","voie":" 6 RUE JEAN PERRIN","cplt_adresse":"APPARTEMENT 91 ETAGE 9","code_postal":"94200","code_insee":"94041","commune":"IVRY SUR SEINE","cplt_commune":""},"created_at":"2022-09-01T00:00:00.000+02:00","updated_at":"2022-09-01T00:00:00.000+02:00","a_valider":null,"exercice_id":1,"uuid_doc":null,"refuser":false,"nom_complet":"KEIRA-LOUISE KONE"}

-- 10m 300 MB packed -- sample: france/fr_10m.json
name;surname;dob;mobile_international;email;address;city;postcode

-- 16m 2.6 GB packed -- sample: france/fr_16m.json
id;name;surname;gender;email;mobile_international;address;city;postcode;dob;birth_city;birth_department;login;subscription_canal;offer_name;offer_price;offer_status;activation_date;children;moboUrl;haveLessThanAYearTerminatedMobileLoan;haveActiveMobileLoan;haveActiveChild;sav4gBoxAvailable;canBeAccountAssociate;identity_status;identity_createdAt;identity_modifiedAt;address_streetType;address_number;address_addressId;address_createdAt;address_modifiedAt;offer_id;offer_accountId;offer_metaOfferId;offer_createdAt;offer_modifiedAt;offer_internalStatus;offer_haveBarring;offer_offerDescription;offer_anniversaryDay;offer_overConsumption;offer_canTerminate;offer_posterioriPorta;account_id;account_login;account_parent;account_createdAt;firstActivationLine_prestaId;firstActivationLine_status;firstActivationLine_description;flags_msisdnTakeover;flags_MNPMsisdn;canSendSim_return;address_supplement;address_freeboxId;offer_activationDate;termination_id;termination_createdAt;termination_modifiedAt;termination_offerTerminatedDate;termination_scheduledTerminationDate;termination_origin;termination_reason;termination_status;termination_cancelable;offer_offerPackId;offer_offerPackType;offer_offerPackLabelShort

-- 30m 1.1 GB packed -- sample: france/fr_30m.json
ID;FirstName;LastName;Gender;EmailAddress;Phone;Address1;City;State;Postcode;DOB;IPAddress;;OptinDate

-- 19m 5.7 GB packed -- sample: france/fr_19m.json
[{"id":"YymoJeKDww9My3W1r08P","login":"90006438","identity":{"civility":"MME","email":"varagnat63760@gmail.com","status":"actif","createdAt":"2013-04-17T10:30:24+02:00","modifiedAt":"2013-04-17T10:30:24+02:00","firstname":"MARIE NOELLE","lastname":"VARAGNAT"},"address":{"postalCode":"69003","streetName":"24 RUE D ARMENIE","streetType":"RUE D","number":"24","city":"LYON","addressId"... etc.

-- 10m employment agency 330 MB packed -- sample: france/fr_10m_ea.json
{"SALARIE_IDENTIFIANT":"5990304A","SALARIE_NIR":"2990775120602","SALARIE_NAME":"BODJONDE","SALARIE_FIRSTNAME":"TRECIA INGRID","POLEEMPLOI_NASD":"56","A8":"N","POLEEMPLOI_AGENCE":"048","SALARIE_RCI":"8144024917","SALARIE_CODE_ANTENNE":"75463","DE_INFO":"R","POLEEMPLOI_LASD":"ILE DE FRANCE","SALARIE_CP":"75","timestamp":"2025-03-07T10:34:11.968362"}

-- 1m B2B records -- sample: france/fr_b2b_1m.csv
Raison Sociale;ADRESSE;CP;VILLE;Civilité;Nom;Prénom;Téléphone;Code NAF;Activité;Rubrique Professionnelle;Effectif

-- 6.7m tv customers 1.6 GB packed -- sample: france/fr_tv_6.7m.json
{"_id":{"$oid":"62f7ae33f06215ee7aef726c"},"uuid":"07534d6f-78b0-4e36-ac72-a6d31bb3fbd1","username":"df90-28a6-47f1-a5a9-4beee01b7c64-aaa56735-9acc-447b-a6de-6efb623e3dd4","email":"edrees.majd@gmail.com","emailConfirmed":true,"subStatus":"NONE","accountType":"Free","createdOn":"wakanim.android.test2","createdAt":"07/12/2020 18:17:22","lastActive":"28/12/2020 01:56:22","country":"AT","events":... etc.

-- 5m 100 MB packed -- sample: france/fr_5m.json
{"id": 56191828, "name": "NAVETTE 5 SOLVAREA", "address": "314 RUE DU PROFESSEUR PAUL MILLIEZ , CHAMPIGNY SUR MARNE ,94500", "address_second_line": null, "zipcode": null, "lat": 48.8134459, "lng": 2.5344954, "phone": null, "image": "/images/avatar.png", "email": null, "merchant_id": 18, "external_id": "56191828", "confirmation_code": "4695", "client_version": null, "client_name": null, "mobile_type": 0, "extras": null, "city": null, "borough": null, "state": null, "street": null, "district": null, "business_code": null, "language": null, "rank": null, "has_parking_area": null, "team_ids": [], "allow_sending_sms": false, "allow_sending_email": true, "kind": null, "customer_notes": []}

-- 300k -- sample: france/fr_300k.json
{"id": 10400000599, "data": {"civilite": "F", "nom": "LHOMMEAU", "nomUsage": "HANRIOT", "prenom": "CLAUDINE", "identifiantRsin": "61696939", "identifiantFT": "10400000599", "codeGeo": "013", "libelleGeo": "PAYS DE LOIRE", "dateNaissance": "1947-12-15T23:00:00.000+00:00", "voie": "6 ALL DES LUCIOLES", "codePostal": "44250", "commune": "ST BREVIN LES PINS", "telephone": "0228535949", "idSPE": "qgeHcni2APLnOatwe8TV5V8A8UCXg6vXM_WKkx5j8UQ", "statutUsager": {"estNonDe": false, "estRadie": true, "statutUsagerRetour": "OK"}}}

-- 2m cultura customers -- sample: france/fr_2m_cultura.json
{"id": "1003909105", "customer": {"email": "kimfi@hotmail.fr", "first_name": "Kimberley", "last_name": "Claude", "phone_number": "0624076009"}, "date": 1723677664, "delivery": {"destination": {"endpoint_id": "CAR"}}, "pricing_details": {"currency": "EUR", "price": 29.95}, "state": "processing", "types": ["ropis"], "alerts": {"orchestrating_order": 0}, "expiration_dates": {"confirmation": {"expiration": 1723712400, "consumed": false}}, "on_available_stock": [], "line_item_groups": [{"id": "66bd3be0b14278e487789a0f", "order_item_id": "66bd3be0b14278e487789a0b", "item_id": "9782755671483", "endpoint_id": "CAR", "quantity": 1, "last_update": 1723677664, "state": "claimed", "index_ranges":... etc.

-- 3.2m 95 MB packed -- sample: france/fr_3.2m.json
('2,03E+15', 'nejjari', 'assia', 'Mme', 'paris', '75017', '17 boulevard bessieres, batiment a2', '616668648', 'assia.nejjari80@outlook.fr

-- 12m "etat civil" 330 MB packed -- sample: france/fr_12m_ec.csv
Nom_1,Prénom_1,Complément,Voie-rue,Lieu-dit,Code postal,Bureau distributeur,Civilité,Sexe,Nom_2,Prénom_2,Né(e) le,Lieu de naissance,Décédé(e) le,Pays ou DOM-TOM,Téléphone domicile,Téléphone travail,Fax domicile,Fax travail,Mobile personnel,Mobile travail,Email principal,Email officiel

-- 1.5m -- sample: france/fr_1.5m.json
{"addresses":[],"pickingContacts":[],"id":1107,"type":"INDIVIDUAL","code":"I69PEYRAN2108","legacyCodes":["I69PEYRAN2108"],"civility":"MRS","firstName":"1107","lastName":"1107","email":"deleted-1107@ldlc.com","cegidAccount":"I69PEYRAN2108000","createdAt":"2018-06-12T09:06:45+02:00","vatRegime":"S"}

-- 1.3m mutuelledesmotards -- sample: france/fr_mm_1.3m.json
{"UnickID": 2845437, "CallOrderID": null, "Status": null, "TypeOfClaimsDescription": null, "DateExpected": null, "ProcessedDate": null, "DateUTCInsert": null, "MarketingChannelsDescription": "AMDM TARIFICATEUR", "ContactCode": "CTTA002841344", "hasOffers": 1, "LastName": "MAIGA", "FirstName": "CAMRON", "SocNumber": "", "EmailAddress": "", "TelephoneNumber": "", "MobileNumber": "0634543655", "isContactCallExpected": 0, "TypeOfOpportunityDescription": "Nouveau contact", "TypeOfMarketingChannels": 6, "MarketingChannels": 1, "MarketingScoring": 216, "isScored": 1, "SelfCareScoring": null, "AddressPostalCode": "94000", "ContactCreationDate": 1739052478000, "isForwarded": 0}

-- 5m sfr telecom customers -- samples: france/fr_sfr_1.4m.csv france/fr_sfr_3.6m.csv
firstname,lastname,phone,address,latitude,longitude,subscribed,redlist

l11ast_name11,f111irst_nam111e,emai112l,Ad1121dress,Zi12pcode,Ci21ty,Birth12Date,Bir12thDepartment,p21hone

-- several smaller and older files, see descriptions and samples in 'older' sub-dir


* Germany

-- 27m 1.4 GB packed -- sample: germany/de_27m.tsv
Email	MobilePhone	Vorname(n)	Name	Street	Street_number	City	ZIP	DOB

-- several smaller and older files, see descriptions and samples in 'older' sub-dir


* India

-- India 100m -- sample: india/india_100m.tsv
"name"	"fname"	"mobile"	"alt"	"id"	"email"	"address"

-- 273m mobile phone users 3.6 GB packed -- sample: india/273m_truecallers.csv
Number,Carrier,Name,Gender,Address,JobTitle,CompanyName,Email,Facebook,Twitter
917207000711,Tata Docomo,Hire Kart Cabs,,Andhra Pradesh in,,,sanjeeva.g@hirekart.com,,


* Indonesia

-- 11m 345 MB packed -- samples: indonesia/indonesia_warga_samples.zip
ID,NIK,Nama,Jenis_Kelamin,Tanggal_Lahir,No_Telepon,Alamat_Lengkap,Kelurahan,Kecamatan,Kota_Kabupaten,Kode_Provinsi

-- 30m dukcapil db 1 GB packed -- sample: indonesia/id_30m.tsv
116904667	3604222607960002	MUHAMAD  YELI	Laki-Laki	26 Jul 1996 (26 Th 11 Bln)	081295080716	KP CIPARI RT 10 RW 4 PANYIRAPAN BAROS SERANG BANTEN	PANYIRAPAN	BAROS	SERANG	36

-- 600k car owner -- sample: indonesia/id_car_600k.csv
Number, BPKB, Name, NIK, Address, Brand, Type, VIN Number, Engine Number, Color, Year


* Iraq

-- 30m citizens 850 MB packed -- sample: iraq/iraq_30m.json
{"id": 9122751, "name": "4430041534", "head_member": [9122734, "\u0646\u0632\u0644\u0629 \u0634\u0643\u0631 \u0645\u062d\u0645\u0648\u062f"], "area_center_id": [127, "443 - Al-Alam"], "service_point_ids": [20224, 19542], "address": "", "phone": false, "category_id": [], "pds_number": "0041534", "with_pds": true, "pin_code": false, "registration_date": false, "disabled": false, "company_id": false}


* Israel

-- 1m car database -- sample: israel/il_car_1m.csv
plate number|vehicle_model|model_type|brand|cd_mn|cd_model|nickname|nickname2|condition|safety_rating|pollution_group|manu_year|engine_model

-- 600k post orders -- sample: israel/il_post_orders_600k.csv
"OrderId","UserId","CampaignId","FirstName","LastName","Email","NameOnCard","Address","City","Phone","EmailToSendGift","ClientIP","CreatedDate","timestamp","Amount","Sum","Token","GiftMoney","Request","InvoiceMail","SenderName","RecieveName","IsGift","Message","RequestAfterDebit","SiteId","BranchId","CreatedVauchers","IDNum","IsDeleted","IsUsed","UniqueField","IsSentReminder","Payments","CollectName","CollectAddress","CollectZip","CollectPhone","CollectCity","CollectNote","CollectPrice","CollectTotal","IsAdminOrder","ResponseId","IsUpgrade","YediothCard","CategoryId","NewsLetterDeliveryId","IsCg","CgToken","BizName","BizNum","TranId","UserAgent","ShvaCode","IsUseMoney","IsCompanyGift","AdminMoney","UserMoney","UniqueId","Versions","InvoiceType","PriceSale","ArticleSubject","CampaignName","modifiedDate","CgTokenBack","OrderStatus","Comment","OrderStatusDate","OrderConfirmCode","PriceLimit","ProductPrice","ProductPriceCollect","IDNumEnc","HashIDNum","IsCollectCombine","UpdateDate"


* Italy

-- 1m clients for luxury -- sample: italy/it_1m.tsv
Id	Email	Name	Phone1	Phone2	Street	Street_number	City	ZIP	Country

-- 3.8m consumers -- sample: italy/consumer_3.8m.csv
filacivincenzo@libero.it,m,1/1/1900,reggio calabria


* Malaysia

-- consumer 55m 1.5 GB packed -- sample: malaysia/consumer_55m.tsv
LN_SUBS_ID	MSISDN	RT_PLN	SIM_SR_NUM	IMSI_ID	IDENTITY_NUM	PHONE_BRAND	PHONE_MODEL	INVD_NAME	IMEI_NUM

-- Malindo Air 8.5m+13.8m records  400 MB packed
samples: malaysia/malindo-PassengerDetails_8.5m.csv malaysia/malindo-Passengers_13.8m.csv
PassengerDetailsID,PassengerID,ReservationID,Address1,Address2,City,County,Postcode,CountryName,Fax,Telephone,Email,EmergContact_Title,EmergContact_FirstName,EmergContact_SurName,EmergContact_Relationship,EmergContact_AreaCode,EmergContact_Telephone,IsSendSMS,BusinessContactNo

PassengerID,MainPassengerID,PassengerType,ReservationID,Title,FirstName,SurName,DateOfBirth,MobileNo,PassportNo,PassportExpDate,PassportCountry,Nationality,FFType,FFNo,Seating,Assistance,Meal,OldPassengerID,PaxLoginId,Temp_PassengerID,FFTypeCode,PassportIssueDate,GENDER,Occupation,TravellerProfileID,ContactNoType,DocType,IBSeating,IBMeal,PaxSuffix,DocumentID,DocumentExpDate,SpecialType,InsDocumentType,InsDocumentId,GWOrganizationName,GWGovtID,NDCPaxId


* Mexico

-- 36m telecom clients 740 MB packed -- sample: mexico/me_36m_telco.csv
Campo1;Campo2;Campo3;Campo4;Campo5;Campo6;EdoSep;MpoSep;EdoCof;MpoCof
6121004768;CATALINO RODRIGUEZ ALVARADO;;ENCINAS Y EMILIANO ZAPATA #2695;LOS OLIVOS LA RINCONADA;MEXICO;;;BCS;LA PAZ

-- 1.5m mexican cars -- sample: mexico/me_1.5m_cars.csv
PLACA|SERIE|MOTOR|MARCA|MODELO|ANIO|COLOR|USO|PROPIETARIO|DIRECCION|TELEFONO|RFC|AGENCIA

-- Mexico 81m 6.5 GB packed -- sample: mexico/mexico_81m.csv
"id","curp","age","forename","middlename","surname","fatherSurname","motherSurname","dob","birthState","gender","dobStringFormat","street","numberExternal","numberInternal","neighborhood","postCode","TIEMRES","occupation","folioNacional","EN_LN","municipalityString","stateId","districtId","municipalityId","sectionId","localityId","cityBlockId","CONS_LC","CONSECUTIV","issue","state","municipality","locality","region","subregion","place","placeRefId"

-- Mexico Voters 80m 3.5 GB packed -- sample: mexico/voters_80m.csv
(looks kinda identical to the above)
"id","curp","age","forename","middlename","surname","fatherSurname","motherSurname","dob","birthState","gender","dobStringFormat","street","numberExternal","numberInternal","neighborhood","postCode","TIEMRES","occupation","folioNacional","EN_LN","municipalityString","stateId","districtId","municipalityId","sectionId","localityId","cityBlockId","CONS_LC","CONSECUTIV","issue","state","municipality","locality","region","subregion","place","placeRefId"


* Poland

-- 1.5m consumers -- sample: poland/pl_1.5m.csv
user_id,first_name,last_name,email,phone,street,street_nr,building_nr,zip_code,town,date_of_birth,created_at,ip_address

-- 2.5m customers -- sample: poland/pl_2.5m_morele.sql

-- several smaller and older files, see description in 'older' sub-dir

-- Netia 1 GB packed -- set of SQL dumps (probably around 300k records of telecom/Internet customers)


* Russia

-- 100m+ pension fund  5.1 GB packed -- sample: russia/ru_100m_pension_fund.csv
snils	name	birthday	passport_numbers	phones	emails	last_name	first_name	patronymic	inns	insurer_inns	insurer_names	employers	occupations	bank_accounts	birthplaces	addresses	phones_as_text	date_from	date_to	tags	sources

-- VK 100m 8 GB packed -- sample: russia/VK_100m.csv
'First Name','Last Name','Email','Password','Phone'

-- 78m russian relatives  1.9 GB packed -- sample: russia/ru_78m_relatives.csv
" РОССИЯ, Р-Н. ЮЖНО-САХАЛИНСК, Г. ЮЖНО-САХАЛИНСК, УЛ. ДЕТСКИЙ ДОМ ""ЛАСТОЧКА"", "|СОКОЛОВ ИВАН СЕРГЕЕВИЧ|20.01.1990|ЛЫСАКОВ ВАЛЕРИЙ ГЕННАДЬЕВИЧ 31.03.1991, МАКУШИН ВЛАДИМИР ВЛАДИМИРОВИЧ 03.05.1991
" РОССИЯ, Р-Н. ЮЖНО-САХАЛИНСК, Г. ЮЖНО-САХАЛИНСК, УЛ. ДЕТСКИЙ ДОМ ""ЛАСТОЧКА"", "|ЛЫСАКОВ ВАЛЕРИЙ ГЕННАДЬЕВИЧ|31.03.1991|МАКУШИН ВЛАДИМИР ВЛАДИМИРОВИЧ 03.05.1991, СОКОЛОВ ИВАН СЕРГЕЕВИЧ 20.01.1990

-- 31m gemotest laboratory patients  1.2 GB packed -- sample: russia/ru_31m_gp.csv
id	last_name	first_name	middle_name	birth_date	sex	mobile_phone	home_phone	email	send_notify_on_phone	address_city	address_street	insurance_number	insurance_company	birth_certificate	passport_number	passport_issued_by	snils	birthplace	parent_id	parent_id_confirmed_flag	created_at	updated_at	deleted_at	citizenship	actual_region	actual_address	birthissued_by	date_birthplace

-- 1.1m aviation medcenter patients -- sample: russia/ru_1.1m_amp.csv
"PCODE","FILIAL","LASTNAME","FIRSTNAME","MIDNAME","PHONE1","PHONE2","PHONE3","PAGER","POL","BDATE","DOCTORS","FULLNAME","NOMILK","COMMENT","CLIENTDIS","RES1","SPECNUM","GRTYPE","PROF","RCODE","NSP","BYEAR","HISTNUM","LASTSTATE","STATEDATE","STATEDOCTOR","JID","NSPDATE","DATEENTER","DATEEXIT","GRPCODE","OMSNUM","OMSSER","OMSDATE","OMSJID","ISWORKED","STATUS","RES2","LSTID","CSTATUS","UID","MODIFYDATE","PASPSER","PASPNUM","PASPPLACE","KODTER","HFAMILY","STARTSUM","OBPOM","SECTID","FIRSTOBSLED","OWNERDCODE","EXTERNPCODE","TYPESTATUS","AGESTATUS","ADDR","ADRINDEX","CITY","STREETNAME","CORP","FLAT","ADDRFULL","KLCODE","ALLERGY","SPECSERV","DISCACCUM","STARTSUMRUB","WORKPLACE","DISCCARD","EXTDCODE","CREATEDATE","PENSNUM","EXPORTDATE","FUPGRADE","ODUSESUM","ODUSEPROC","ODCURRENC","ODSUMV","ODPROCV","CLINICID","CARS","LEVELGROUP","PERSONTYPE","JPID","CODELIMITS","CLMAIL","NAZNDIS","HIDECOMMENT","RECEIPID","LIMITSIGNORE","PLANSCOUNT","GRSTREET","SNILS","PASPDATE","DCODE1","JID0","LASTDATEEXIT","CHECKINMAINDB","REKLAGRID","DOCSCOUNT","ISEMPLOYEER","EDUCAT","FLANG","FAMSTATUS","NACIONAL","SCSTEPEN","INN","BPLACE","REGION","NASELPUN","STREETTYPE","PARENTSFIO","SCHEDFILIALS","TREATCODE","CARDPLACE","TRADECLIENT","PJID","PDEPNUM","STAJ","PROFID","ISPLANMEC","HISTNUM05","HISTNUM04","FROMOLDBASE","OBMENCARD","FULLNAME2","DATECANCEL","PROF_VRED","JPCONTACT","WORKPLACEID","JPAYSTAT","TALKS_DCODE","DCODE_CONSULT","LINKCODE","ADDHISTNUM","PR_CLIENTTYPE","REKLCOMMENT","REKLDCODE","LOCKTYPE","REFUSECALL","REKLPCODE","DESCNAME","NATIONALID","CLIENTPASS","REFUSEADDR","PASPTYPE","PASPOTHER","ADRINDEX_F","KODTER_F","REGION_F","NASELPUN_F","CITY_F","STREETNAME_F","KLADR_ADDRFULL","ADDR_F","CORP_F","FLAT_F","ADRREGDATE","REFUSESMS","DMSID","KODTER_REG","ADRINDEX_REG","CITY_REG","STREETNAME_REG","ADDR_REG","CORP_REG"... etc.

-- 4.2m russian pupils -- sample: russia/ru_pupils_4.2m.csv
name, phone, e-mail, DOB, IIN, region, school, grade, attend_date

-- 9m mos.ru subscribers 220 MB packed -- sample: russia/ru_9m_mos.ru.csv
fio,bdate,birthplace,gender,phone,email,pass_sn,inn,polis_oms,address


* Singapore

-- 500k consumers -- sample: singapore/sg_500k.csv
client_id;full_name;email;mobile_number;registered_address;tiger_account_no;account_status;membership_tier;base_currency;net_asset_value_sgd;last_trade_ticker;last_trade_date;funding_method;tax_residency;platform_access

-- 400k consumers -- sample: singapore/sg_400k.csv
client_id;full_name;email;mobile_number;registered_address;tiger_account_no;account_status;membership_tier;base_currency;net_asset_value_sgd;last_trade_ticker;last_trade_date;funding_method;tax_residency;platform_access


* Spain

-- 20m consumers  700 MB packed -- sample: spain/es_20m.csv
id;firstname;lastname;gender;emailaddress;phone;address1;city;state;postcode;dob;ipaddress;optindate

-- 275k forex investors -- sample: spain/es_275k_forex.csv
date_become_lead,date_created,date_modified,first_name,middle_name,last_name,gender,country_name,country_code,phone_number_full,phone_number,email,rank,has_whatsapp,last_seen_whatsapp


* Thailand

-- Thai Lion Air  20m+32m records  900 MB packed
samples: thailand/Thai_Lion_PassengerDetails_20m.csv thailand/Thai_Lion_Passengers_32m.csv
PassengerDetailsID,PassengerID,ReservationID,Address1,Address2,City,County,Postcode,CountryName,Fax,Telephone,Email,EmergContact_Title,EmergContact_FirstName,EmergContact_SurName,EmergContact_Relationship,EmergContact_AreaCode,EmergContact_Telephone,IsSendSMS,BusinessContactNo

PassengerID,MainPassengerID,PassengerType,ReservationID,Title,FirstName,SurName,DateOfBirth,MobileNo,PassportNo,PassportExpDate,PassportCountry,Nationality,FFType,FFNo,Seating,Assistance,Meal,OldPassengerID,PaxLoginId,Temp_PassengerID,FFTypeCode,PassportIssueDate,GENDER,Occupation,TravellerProfileID,ContactNoType,DocType,IBSeating,IBMeal,PaxSuffix,DocumentID,DocumentExpDate,SpecialType,InsDocumentType,InsDocumentId,GWOrganizationName,GWGovtID,NDCPaxId


* Turkey

-- 50m citizens 6.5 GB (unpacked) SQL dump -- sample: turkey/citizens_50m.sql
COPY citizen (uid, national_identifier, first, last, mother_first, father_first, gender, birth_city, date_of_birth, id_registration_city, id_registration_district, address_city, address_district, address_neighborhood, street_address, door_or_entrance_number, misc) FROM stdin;

-- 50 databases of various origin from really big ( > 100m records ) to really small ( ~1k records ) ones; see the samples in turkey/50_databases sub-directory, the counts are in filenames (so e.g. '109mtcpro.tsv' is sample for database of 109 million records size, and in this particular case it's "turkish citizenship" data)


* UAE

-- 1m customer records -- sample: uae/uae_1m.csv
id,order_status,source,customer_name,customer_email,customer_mobile,payment_method,payment_status,shipping_method,shipping_address,shipping_city,shipping,cod,discount,total,currency,product name

-- several smaller and older files, see descriptions and samples in 'older' sub-dir


* UK

-- 150k consumer records -- sample: uk/uk_150k_9t321e.csv
CustName,DOB,EmailAddress,TelMobile,CustAddress,Postcode,MarketingByEmail,Textbox10,Textbox13

-- 500k residential data -- sample: uk/uk_500k_res.csv
"Title","First Name","Last Name","Address1","Address2","City","Town","Post

-- 1.5m phone data -- sample: uk/uk_1.5m_phones.tsv
NO	PHONE#	FLNAME	CITY	ADRESS

-- 3.8m customers -- sample: uk/uk_3.8m_retail.csv
Richard	Talbot	Flat 9, 9 Enfield Road		De Beauvoir Town	London	N1 5EN	richardtalbot@yahoo.com	07879475017
Kingson	Leung	26 Mulgrave Road		London		W5 1LE	dawellfunkieone@yahoo.co.uk	07709470459

-- 8m marketing consumers -- sample: uk/uk_8m_marketing.csv
"id","title","forenames","surname","email","homePhone","mobilePhone","dob","houseNumber","street","city","county","postCode","age"

-- 4.3m uk linkedin data -- sample: uk/uk_4.3m_linkedin.csv
email,address_line_2,birth_date,birth_year,country,domain,facebook_url,facebook_username,first_name,full_name,gender,industry,job_title,last_name,linkedin_url,linkedin_username,locality,majors,metro,middle_initial,middle_name,mobile_phone,postal_code,street_address,twitter_url,twitter_username

-- 1.7m uk ebay customers -- sample: uk/uk_1.7m_ebay.tsv
email	name	address	city	state	zip	country	phone	date of birth

-- 13m persons with significant control 1.5 GB -- sample: uk/uk_pwsc_db_13m.json
{"company_number":"07434180","data":{"address":{"address_line_1":"Boddington Lane","address_line_2":"Boddington","country":"England","locality":"Cheltenham","postal_code":"GL51 0TJ","premises":"The Manor"},"etag":"706b6e8773700f85361929bb5cd0214d630de6e0","identification":{"country_registered":"England \u0026 Wales","legal_authority":"Companies Act","legal_form":"Private Limited Company","place_registered":"Companies House Cardiff","registration_number":"00686734"},"kind":"corporate-entity-person-with-significant-control","links":{"self":"/company/07434180/persons-with-significant-control/corporate-entity/4VX8NR7hszDG1wJAzQS9Oi7Z5c4"},"name":"Robert Hitchins Limited","natures_of_control":["ownership-of-shares-75-to-100-percent","voting-rights-75-to-100-percent"],"notified_on":"2016-04-06"}}

-- several smaller and older files, see descriptions and samples in 'older' sub-dir


* Ukraine

-- 53m citizenship database  8 GB packed -- sample: ukraine/ua_53m_citizens.tsv
Код ДРФО	Прізвищє	Прізвищє - російською (словник)	Ім'я	Ім'я - російською (словник)	По батькові	По батькові - російською (словник)	Стать	Дата отримання коду	Дата народження	Країна народження	Область народження	Район народження	Тип населеного пункту народження	Назва населеного пункту народження (Україна)	Назва населеного пункту народження (закордон)	Країна проживання	Область проживання	Район проживання	Тип населеногно пункту проживання	Назва населеного пункту проживання (Україна)	Тип вулиці проживання	Назва вулиці проживання	Номер будинку проживання	Літера будинку проживання	Корпус проживання	Номер квартири проживання	Наазва населеного пункту проживання (закордон)	Номер телефону за місцем проживання	Дата реєстрації коду за місцем проживання	DRFO_JPK

-- 1m retailers -- sample: ukraine/ua_1m_retailers.csv
6320223,Аксессуары для стиральных машин_Другое,Підставки HITECHNIC для пральних машин, хол-ків пр,C044,Рівне,Козіонова Світлана Володимирівна,73553218,380965731508,20.02.1969,Женский,1,159,9||

-- 580k state custom services -- sample: ukraine/ua_580k_scs.csv
Системный номер|Тип декларации|Номер таможни|Пост оформления|Таможня оформления|Транспорт на границе код|Транспорт на границе|Транспорт на границе номер|Номер контейнера|Отправитель|Получатель ЕДРПОУ|Получатель|Декларант ЕДРПОУ|Декларант|Брокер код|Брокер|Дата оформления|Номер декларации|Код товара|Торговая марка|Описание товара|Страна происхождения|Страна отправления|Доп ед количество|Доп ед изм|Вес брутто, кг|Вес нетто, кг|Фактурная стоимость, $|Таможенная стоимость, $|Цена, $/кг|Метод|Контракт


* USA

-- 240m records -- sample: usa/usa_240m.csv
HH_ID,ID,First_Name_01,alphafirstname_sort,Phonetic_First_Name,Middle_Name_01,Last_Name_01,alphalastname_sort,Phonetic_Last_Name,Address,alphaaddress_sort,City,CITY_PHRASE,alphacity_sort,Cities,State,alphastate_sort,ZIP,ZIP4,Carrier_Route,Delivery_Point,Mail_Score_Code,Geo_Level_Code,Latitude,Longitude,Time_Zone_Code,County_Code,County_Description,CBSA_Code,CBSA_Description,Scrubbed_Phoneable_Flag,Ind_Gender_Code,Ind_Date_Of_Birth_Year,Ind_Date_Of_Birth_Month,Ind_Age,Ind_Household_Rank_Code,Ind_Ethnic_Code,Ind_Political_Party_Code,Home_Value_Code,Home_Value_Description,Home_Median_Value_Code,Home_Median_Value_Description,Home_Owner_Renter_Code,Length_Of_Residence_Code,Home_Dwelling_Type_Code,Median_Income_Code,Median_Income_Description,Income_Code,Income_Description,NetWorth_Code,Credit_Capacity,Credit_Capacity_Code,Credit_Capacity_Description,CC_User_Flag,Credit_Card_Mail_Order_Buyers,CC_Bank_Flag,CC_Gas_Dept_Retail_Flag... etc.

-- "co-reg data" 400m -- sample: usa/usa_coreg_400m_2025.tsv
Email	Fname	Lname	Address	City	State	Zip	Phone Number	IP	Date and Time	Source	Gender	DOB

-- detailed consumer data 2016 209m 21 GB packed -- sample: usa/experian_2016.csv
"AddressID","IndividualId","personfirstname","personmiddleinitial","personlastname","PersonSurnameSuffix","persontitleofrespect","housenumber","predirection","streetname","streetsuffix","postdirection","unitdesignator","unitdesignatornumber","primaryaddress","secondaryaddress","state","ZipCode","Zip_4","del_point_check_digit","msa","countycode","countyname","citynameabbr","cityname","carrier_route","censustract","censusblock","latitude","longitude","timezone","Xaxis","Yaxis","Zaxis","dpv_code"... etc.

-- detailed mobile phone users data 27m >4 GB packed -- sample: usa/experian_t-mobile.csv
"FN","MI","LN","NAME_PRE","ADDR","APT","CITY","ST","ZIP","Z4","DPC","FIPS_CTY","LATITUDE","LONGITUDE","ADDR_TYP","CBSA","ADDR_LINE","DMA_SUPPR","CRA","Z4_TYP","DSF_IND","DPD_IND","PHONE_FLAG","PHONE","TIME_ZN","GENDER","INF_HH_RANK","HOME_OWNR_SRC","DOB_YR","DOB_MON","DOB_DAY","EXACT_AGE","AGE","HH_INCOME","NET_WORTH","CREDIT_LINES","CREDIT_RANGE_NEW","EDUC","OCC_OCCUP","OCC_OCCUP_DET","OCC_BUSN_OWNR","NUM_KIDS","PRES_KIDS","HH_MARITAL_STAT","HOME_OWNR","LOR","DWELL_TYP","NUM_ADULTS"... etc.

-- NPD 51 GB packed -- 2.7 billion records of information on US residents, via USDOD
sample: usa/npd.csv
ID,firstname,lastname,middlename,name_suff,dob,address,city,county_name,st,zip,phone1,aka1fullname,aka2fullname,aka3fullname,StartDat,alt1DOB,alt2DOB,alt3DOB,ssn

-- 800m consumer records 40 GB packed -- sample: usa/800m_consumer.json
{"_id":{"$oid":"5a62094b2213930f39856873"},"zip":"6112","visit_date":{"$date":"2017-11-28T08:49:00.000Z"},"phone":"860-216-4269","city":"Hartford","site_url":"buy.com","state":"CT","gender":"female","email":"ggivens@yahoo.com","user_ip":"12.144.191.230","dob":{"$date":"2018-01-19T00:00:00.000Z"},"firstname":"Gerard","lastname":"Givens","done":1.0,"email_lower_sha256":"f6897a87d4bead3aa28fd55da09c56e1ed7804ee125597be89a33b653656345c"}

-- 25m business(wo)men directory 1.5 GB packed -- sample: usa/usa_b2b_25m_c.csv
"Name","Company","Address","Address2","City","State","SCF","Zip","Zip4","DPBC","Zip9","Carrier_Route","Zip_CRRT","Zip4_Valid_Flag","Line_of_Travel","Latitude","Longitude","Lat_Long_Type","County_Code","Mail_Score","CBSA_Code","MSA","CSA_Code","Metro_Micro_Code","Census_Tract","Census_Block_Group","Area_Code","Telephone_Number","Telephone_Number_Sequence","Toll_Free_Number","Fax_Number","Name_Gender","Name_Prefix","Name_First","Name_Middle_Initial","Name_Last","Name_Suffix","Title_Code_1"... etc.

-- 60m companies 4.5 GB packed -- sample: usa/usa_b2b_60m_a.csv
company_name,legal_name,trade_name,dba_name,fictitious_name,address1,address2,city,state,zip5,zip4,address_type_code,mail_addr_address1,mail_addr_address2,mail_addr_city,mail_addr_state,mail_addr_zip5,mail_addr_zip4,mail_addr_address_type_code,country,state_code,county_code,county_name,carrier_route,cbsa,cbsa_name,dma,dma_name,scf,congress_code,delivery_point_code,delivery_point_check_digit,latitude... etc.

-- 70m business(wo)men directory 3.5 GB packed -- sample: usa/usa_b2b_25m_c.csv
"Name","Company","Address","Address2","City","State","SCF","Zip","Zip4","DPBC","Zip9","Carrier_Route","Zip_CRRT","Zip4_Valid_Flag","Line_of_Travel","Latitude","Longitude","Lat_Long_Type","County_Code","Mail_Score","CBSA_Code","MSA","CSA_Code","Metro_Micro_Code","Census_Tract","Census_Block_Group","Area_Code","Telephone_Number","Telephone_Number_Sequence","Toll_Free_Number","Fax_Number"... etc.

-- 5m companies cleaned records (2018) 200 MB packed -- sample: usa/5m_cleaned_biz.csv
"CompanyName,""CompanyAddress"",""City"",""ZipCode"",""State"",""Phone"",""Fax"",""Email"",""Website"",""ContactName"",""Category"

-- 25m NCOA verified 1 GB packed -- sample: usa/25m_NCOA_verified.csv
ID,Business Name,Address,CITY NAME,ST,Zip Code,,/Zip C0/,,N,"3.1,10.1,14.1,A0",,,Business Name,Address,City Name,St,Zip Code,,,,Zip C,,,,,A1M1,,,,,,,

-- 28m companies 1 GB packed -- sample: usa/28m_companies.csv
Business Name,SIC2 Category,SIC4 Category,SIC8 Category,Contact Name,State Code,City,ZIP Code,Address,Phone,Web,Coordinates,Year Founded,Location Type,Market Variable,Annual Revenue,SIC,NAICS,Industry

-- NCOA 200m 11 GB packed -- sample: usa/200m_NCOA.csv
IELD1,FIELD2,FIRST,MIDDLE,LAST,FIELD6,ADDRESS,CITY,ST,ZIP,CRRT,BARCODE,X,STATUS_,ERRNO_,TYPE_,LACS_,COMPANY,OCOMPANY,OADDRESS,OCITY,OSTATE,OZIPCODE,LACSIND_,LACSRC_,STELINK_,ZIP5,ZIP4,DPC,DP,DPV_,DPVNOTES_,VACANT_,LEFTOUT_,FFAPPLIED_,MOVETYPE_,MOVEDATE_,MATCHFLAG_,NXI_

-- B2B 87m with e-mails 1.5 GB packed -- sample: usa/B2B_with_e-mails_87m.csv
email,sic_code,naics_code,company_name,contact_name,first_name,last_name,title,address,address2,city,state,zip,phone,fax,company_website,revenue,employees,industry,desc

-- Hoover's with Decision Makers 5 GB packed 39m + 1.8m
samples: usa/hoovers_39m.tsv usa/hoovers_dm_1.8m.tsv
Company	Address	City	State	Zip	Zip4	ContactName	ContactFirst	ContactLast	ContactTitle	ContactType	ContactEmail	ContactPhone	SIC2Code	SIC2Desc	SIC4Code	SIC4Desc	SIC6Code	SIC6Desc	SIC8Code	SIC8Desc	SICDivision	SecondarySIC2Code	SecondarySIC2Desc	SecondarySIC4Code	SecondarySIC4Desc	SecondarySIC6Code	SecondarySIC6Desc	SecondarySIC8Code	SecondarySIC8Desc	SecondarySICDivision	TertiarySIC2Code	TertiarySIC2Desc	TertiarySIC4Code	TertiarySIC4Desc	TertiarySIC6Code	TertiarySIC6Desc	TertiarySIC8Code	TertiarySIC8Desc	TertiarySICDivision	NAICSCode	NAICSDesc	AnnualSalesRange	XTABAnnualSalesRange	EmployeesRange	XTABEmployeesRange	LocationType	Ownership	YearStarted	Woman	Minority	FilteredSohoFlag	LocationID	PrimaryRecord	ContactID	PhoneFlag	Source

-- Texas VIN auto 18m 500 MB packed -- sample: usa/vin_tx.csv
"FIRST","LAST","ADDRESS","CITY","STATE","ZIP","PHONE","AUTOYEAR","AUTOMAKE","AUTOMODEL","AUTOVIN","GENDER","HOME_VALUE","HOUSEHOLD_INCOME"

-- 2017-2018 170m consumer 6 GB packed -- sample: usa/2017-2018_USA_consumer_170m.csv
rosiecruse@yahoo.ca,Rosemarie,Cruse,P.O.Box 771,Anaheim,CA,92815,us,4.232.75.44,March 3 2017 9:44,7/30/1981,m,7149781645,morning,ready to get started!,full-time,better quality of life,$5000 ÷ 10000 per month,$100 - $250

-- acuity data 200m 21 GB packed -- sample: usa/acuity_data_200m.csv
"AddressID","IndividualId","personfirstname","personmiddleinitial","personlastname","PersonSurnameSuffix","persontitleofrespect","housenumber","predirection","streetname","streetsuffix","postdirection","unitdesignator","unitdesignatornumber","primaryaddress","secondaryaddress","state","ZipCode","Zip_4","del_point_check_digit","msa","countycode","countyname","citynameabbr","cityname","carrier_route","censustract","censusblock","latitude","longitude","timezone","Xaxis","Yaxis","Zaxis","dpv_code","NumberOfSources","dwellingtype","secondaryaddresspresent","livingunitid","RDID","Phone"... etc.

-- cell master 60m 1 GB packed -- sample: usa/cell_master_60m.csv
FNAME","LNAME","ADDRESS","CITY","STATE","ZIP","CELLPHONE"

-- cell wp 2019 185m 3 GB packed -- sample: usa/usa_cell_db_2019.csv
"FIRST","LAST","ADDRESS","CITY","STATE","ZIP","CELLPHONE","EMAIL","IP","DATE","PHONE TYPE","PHONE CARRIER","GENDER","HOME_VALUE","HOUSEHOLD_INCOME"

-- cellphone master 32m 400 MB packed -- sample: usa/cellphone_master_32m.tsv
2012070214	07002	Debra	Rayside	NJ	Jersey City, NJ	35 W 29th St #37	Bayonne	07002-3860

-- unique e-mails 50m 1.9 GB packed -- sample: usa/mail_unique_50m.tsv
State	EMail	Fname	Lname	Address	County	City	Zip	Phone Number	Gender	DOB	IncomePerHousehold	AverageHouseValue	Source	IP	Date and Time	ListDate

-- detailed usa consumer data 2016 144m 3.4 GB packed -- sample: usa/experian2016.csv
"FN","MI","LN","NAME_PRE","ADDR","CITY","ST","ZIP","APT","ZIP4","PHONE","TIME_ZN","EMAIL","URL","IP","DATE_TIME","Telephone_Number_1","DOB_YR","DOB_MON","DOB_DAY","AGE","NET_WORTH","HH_INCOME","CREDIT_RATING","HH_MARITAL_STAT","HOME_OWNR","DWELL_TYP","DONR_POL","ETHNIC_CODE","ETHNIC_GRP","ETHNIC_LANG"

-- marital data 200m 20 GB packed -- sample: usa/marital_200m.csv
"AddressID","IndividualId","personfirstname","personmiddleinitial","personlastname","PersonSurnameSuffix","persontitleofrespect","housenumber","predirection","streetname","streetsuffix","postdirection","unitdesignator","unitdesignatornumber","primaryaddress","secondaryaddress","state","ZipCode","Zip_4","del_point_check_digit","msa","countycode","countyname","citynameabbr","cityname","carrier_route","censustract","censusblock","latitude","longitude","timezone","Xaxis","Yaxis","Zaxis","dpv_code","NumberOfSources","dwellingtype","secondaryaddresspresent","livingunitid","RDID","areacode","Phone"... etc.

-- marital data 2018 230m 22.5 GB packed -- sample: usa/us_consumer_july_2018.csv
"AddressID","IndividualId","personfirstname","personmiddleinitial","personlastname","PersonSurnameSuffix","persontitleofrespect","housenumber","predirection","streetname","streetsuffix","postdirection","unitdesignator","unitdesignatornumber","primaryaddress","secondaryaddress","state","ZipCode","Zip_4","del_point_check_digit","msa","countycode","countyname","citynameabbr","cityname","carrier_route","censustract","censusblock","latitude","longitude","timezone","Xaxis","Yaxis","Zaxis","dpv_code","NumberOfSources","dwellingtype","secondaryaddresspresent","livingunitid","RDID","areacode","Phone"... etc.

-- residential 65m 1.5 GB packed -- sample: usa/residential_65m.csv
FIRST,LAST,ADDRESS,CITY,STATE,ZIP,PHONE,EMAILADDRESS

-- residential 75m 750 MB packed -- sample: usa/residential_db_75m.csv
Abramovich Zoryan	N2446 State Road 28	Adell	WI	53001	920-528-7329

-- state-wise 250m 4 GB packed -- sample: usa/state-wise_250m.tsv
First Name	Middle Initial	Surname	Street Address	Address 2	City	State	Zip	County	Phone

-- large B2C 90m 4 GB packed -- sample: usa/large_b2c_90m.tsv
Household_Member1	Address	City_State_Zip	Area_Code_and_Phone	Phone_Area_Code	Phone_Number_without_Area_Code	City	State	ZIP	ZIP_+_4	ZIP_+_4_+_DPBC	Delivery_Point_Bar_Code	Carrier_Route	County	Household_Member_First1	Household_Member_Last1	Household_Member_Gender1	Household_Member_Age1	Household_Member2	Household_Member_First2	Household_Member_Last2	Household_Member_Gender2	Household_Member_Age2	Household_Member3... etc.

-- cons5865 12m 500 MB packed -- samples: usa/M_sample.csv usa/S_sample.csv
M
"Email";"First Name";"Last Name";"Address";"City";"State";"Zip";"Gender";"DOB";"Telephone";"Source URL";"Privacy URL";"IP Address";"Date/Time Stamp";"Category"
S
"EMail";"F Name";"L Name";"Address";"City";"State";"Zip";"Phone Number";"Source";"IP";"Date and Time";"Gender";"DOB"

-- consumers 90m 2.7 GB packed -- sample: usa/cons_90m.csv
steve.harris@gmail.com	Steve	Harris	325 2nd St Apt 604	Silvis	IL	61282	309-738-1967	66.123.87.13

-- cons res 85m 4.1 GB packed -- sample: usa/cons_res_85m.csv
FIRST	MIDDLE	LAST	ADDRESS1	ADDRESS2	CITY	STATE	ZIP	ZIP4	DPV	CRRT	COUNTYNUM	COUNTY	LATITUDE	LONGITUDE	HOH	CHILDPRES	MFDU	EXACT AGE	EST AGE	EST INCOME	LOR	ADDR TYPE	DWELLING	HOMEOWNER	PROPERTY	MED HOME VALUE	MARITALSTATUS	ETHNIC	TITLE	MEDIAN YRS IN SCHOOL	GENDER	DPV CODE	EST WEALTH	PHONE	TIMEZONE	DOB

-- consumer detailed 200m 21 GB -- sample: usa/consumer_detailed_200m.csv
"AddressID","IndividualId","personfirstname","personmiddleinitial","personlastname","PersonSurnameSuffix","persontitleofrespect","housenumber","predirection","streetname","streetsuffix","postdirection","unitdesignator","unitdesignatornumber","primaryaddress","secondaryaddress","state","ZipCode","Zip_4","del_point_check_digit","msa","countycode","countyname","citynameabbr","cityname","carrier_route","censustract","censusblock","latitude","longitude","timezone","Xaxis","Yaxis","Zaxis","dpv_code"... etc.

-- co-registration data 121314 900m 30 GB packed -- sample: usa/usa_900m_121314.csv
EmailAddress,FirstName,LastName,MailAddress1,CityName,ProvinceStateName,PostalZipCode,GenderID,BirthDate,PhoneNumberHome,PhoneNumberMobile,PhoneNumberWork,LeadIPAddress,LeadURL,LeadDate

-- co-registration data 1516 800m 28.5 GB packed -- sample: usa/usa_800m_1516.csv
email,fname,lname,address,city,state,zip,phone,ip,datetime,source,gender,birth

-- co-registration data 17 400m 14 GB packed -- sample: usa/usa_400m_2017.csv
EMail,F Name,L Name,Address,City,State,Zip,Phone Number,IP,Date and Time,Source,gender,birth

-- dbo 45m 1.5 GB packed -- sample: usa/dbo_45m.tsv
EMail	Fname	Lname	Address	City	State	Zip	Phone Number	Source	IP	Date and Time	Gender	DOB

-- white pages 100m 1.3 GB packed -- sample: usa/white_pages_100m.tsv
JOHNNY  AYALA	1635 PIERCE ST APT 15	SAN FRANCISCO	CA	94115-3148	2014506300

-- payday loans db 1m -- sample: usa/payday-loans_1m.csv
NASIR,SAYRE,1740 NEWBRIDGE AVENUE,SAN MATEO,CA,94401,jaybo5sd@gmail.com,3/31/1982,138.5.154.233,45893647,,CA,NO,1000,RENT,2,6503438404,6503438404,,MORNING,WEEKLY,4000,TREFZ MCDONALDS,WORKER,YES,CHECKING,H &  R BLOCK BANK,38554233,1385154233

-- 6m car insurance records -- sample: usa/6m_car_insurance.csv
"FNAME","MI","LNAME","ADDRESS","CITY","STATE","ZIP","ZIP4","PHONE","AUTO_YEAR","AUTO_CLASS","AUTO_MAKE","AUTO_MODEL","AUTO_BODY","AUTO_VIN","GENDER","INCOME"

-- 1m payday loans -- sample: usa/1m_payday_loans.csv
MONICA,LOPEZ,12151 N IH35,AUSTIN,TX,78753,monalopez79@yahoo.com,3/3/1978,202.72.109.115,451778965,8C201C2058C2025,TX,,400,RENT,8,5127789658,,5127789658,,,1950,,,,CHECKING,,0,0

-- 2m boat owner -- sample: usa/2m_boat_owner.csv
email,fname,lname,address,city,state,zip,dob,database,number of children,gender

-- 2m healthy lifestyle products customers -- sample: usa/2m_healthy_lifestyle.csv
.id,.email,.created_at,.first_name,.last_name,.currency,.phone,.addresses..address1,.addresses..address2,.addresses..city,.addresses..province,.addresses..country,.addresses..zip,.addresses..phone,.addresses..name
7374822768878,gotovacjel@yahoo.ca,2024-03-02T12:25:41-05:00,,,USD,,,,,,United States,,,

-- 40m B2B contacts  2.6 GB packed -- sample: usa/40m_limeleads.json
{"_index":"leads_oct_2018_a","_type":"lead","_id":"se-hrosado@wencorgroup.com","_score":1,"_source":{"company":"Wencor Group","title_full":"Inside Sales Representative","title":null,"sic8_1":"458","naics_1":null,"state":"GA","city":"Peachtree City","city_state":"Peachtree City, GA","zip":"30269","msa":null,"email":"hrosado@wencorgroup.com","ll_data_src":"salesengine","email_domain":"wencorgroup.com","predicted_email_server_type":"non-catchall","web_address":"wencorgroup.com","telephone_number":"+19516951008"... etc.

-- 3.8m + 1.8m audi owners  1 GB packed -- samples: usa/audi_3.8m_leads.csv  usa/audi_1.8m_sale.csv
Created,FirstName,LastName,Address1,Address2,City,State,ZipCode,HomePhone,EmailAddress

SaleId,HouseholdId,VIN,SaleDate,DealerCode,FirstName,LastName,Address1,Address2,City,State,ZipCode,PhoneNumber,EmailAddress,VehicleYear,VehicleMake,VehicleModel,VehicleTrim,VehicleModelCode,BestMatch,BestMatchTypeId,Created,Modified,SalesType,PhoneLeadBestId,SpecialProgramCode,ReportedMonthNumber,ReportedDate,DataLastRefreshedDate,SaleOptionList,SaleExteriorColor,SaleInteriorColor,TransmissionTypeCode,BodyType,OwnerCompanyName,ZipCodeSuffix,DriverFirstName,DriverLastName,DriverCompanyName,DriverAddress,DriverCity,DriverState,DriverZipCode,DriverZipCodeSuffix,DriverHomePhone,DriverBusinessPhone,OnlineLeadId,BusinessPhone,TotalNetSales,DateKey

-- 3.5m hotel guests + 1.6m booking data -- samples: usa/hotel_3.5m_guests.csv  usa/hotel_1.6m_booking.csv
full_name,email,address,member_level,enrolled_on,birthday,language

full_name,email,full_location,member_level,last_stay

-- 2m mobile callers -- sample: usa/2m_tmobile.csv
first name, last name, address, city, county, state, zip, phone, carrier, gender, ethnicity, ownrent, latitude, longitude,Zone

-- 1m car owners -- sample: usa/1m_car_owners.csv
FN,LN,ADDRESS,CITY,STATE,ZIP,PHONE,YEAR,MAKE,MODEL,VIN


* Venezuela

-- 3m vaccination list  230 MB packed -- sample: venezuela/ve_3m_vacc.json
{"id":3389899,"tipo_identificacion":"V","cedula":"14595548","apellidos":"PERAZA ABREU","nombres":"MIGUEL ANGEL","sexo":"masculino","fecha_nacimiento":"1981-06-23","telefono":"04140414122","estado":"La Guaira","municipio":"Municipio Vargas","centro_salud":"MINISTERIO DEL PODER POPULAR PARA TRANSPORTE","direccion":"CATIA LA MAR","establecimiento_laboral":null,"email":null,"dosis1":"si","lote1":"E-2021070006-2","fecha_dosis1":"2021-10-20","dosis2":"si","lote2":"202105B0952","fecha_dosis2":"2021-11-15","nombre_vacuna":"VERO CELL SINOPHARM (VIRUS INACTIVO)","pueblo_indigena":null,"grupo_especial":null,"etnia":null}

-- 1.4m kfc records  750 MB packed -- sample: venezuela/ve_1.4m_kfc.json
{"id": 1863274, "client_id": null, "store_id": 19, "motorized_id": 125, "order_status_id": 5, "direction_id": null, "order": "a:10:{s:7:\"cliente\";a:5:{s:8:\"fullname\";s:15:\"Jaime contreras\";s:5:\"phone\";s:13:\"+584142891390\";s:9:\"direccion\";s:14:\"urb bellomonte\";s:5:\"email\";s:19:\"unknown@unknown.com\";s:13:\"identificador\";s:8:\"20027922\";}s:11:\"metodo_pago\";s:17:\"Débito Inmediato\";s:11:\"tasa_cambio\";s:8:\"233.0458\";s:6:\"status\";i:1;s:5:\"store\";... etc.

-- 5m venezuelan children -- sample: venezuela/ve_5m_child.sql
 cedula, nacionalidad, primer_apellido, segundo_apellido, primer_nombre, segundo_nombre, sexo, fecha_nacimiento
 ('30000000','V','Castillo','Martinez','Anyer','Cristobal','M','2002-08-23'),
 ('30000001','V','Duque','Rengel','Andrea','Michelle','F','2003-06-11'),


* Vietnam

-- 23m vietnam airlines  500 MB packed -- sample: vietnam/vn_23m_airlines.tsv
Name	PersonEmail	Phone	PersonBirthdate	Gender__pc	Nationality__pc	Age__pc	Year_of_Birth__pc	Last_Travel_Date__pc	B2B_Year__c	PersonMailingAddress_street	PersonMailingAddress_city	PersonMailingAddress_state	PersonMailingAddress_country	PersonMailingAddress_postalCode	CreatedDate	LastModifiedDate	Status_GContact__pc	SystemModstamp	Tax_Address__c	Tax_Email__c	Tax_Name__c	Telephone_Quantity__c	attributes_type	attributes_url



*** Other (like sites, non nation-specific etc.)

-- Facebook 530m records from more than 100 countries -- sample: other/fb_uk.csv
447874269297:1216365163:Luxeena:Binoy:female::Glasgow, United Kingdom:Married:Southern General Hospital:::
447874269298:100000743836045:Lisa:Allen:female::Netherton, Dudley, United Kingdom:Married:Tesco:::

-- LinkedIn 200 GB (packed) in 699 files (hundreds of million records) -- sample: other/linkedin.json
{"id":"oUtNZ6WK47citf2SLvtvrg_0000","full_name":"phary yoeun","first_name":"phary","middle_initial":null,"middle_name":null,"last_name":"yoeun","gender":null,"birth_year":null,"birth_date":null,"linkedin_url":"linkedin.com/in/phary-yoeun-6137b646","linkedin_username"... etc.

-- LinkedIn supplemental files 4 GB (packed) 13 files for 12 countries
Austria Brazil Bangladesh Canada France India Iran Iraq Luxembourg UAE UK USA
(same json format)

-- LinkedIn 167m 6.5 GB (packed) -- SQL dump and plenty of *.txt files
sample: other/linkedin.sql

-- LinkedIn 2016 6 GB (packed) 22 GB unpacked / 242m e-mail addresses
SQL dump and plenty of *.txt files (similar to the above, supposed to contain more data)
sample: other/linkedin_2016.sql

-- Twitter 2,873,410,842 accounts data from November 2022 (105 GB packed).
sample: other/twitter_2022.csv
935,214,212 accounts have extra data (timezone and language setting).
ID,name,screen_name,location,url,description,protected,verified,followers_count,friends_count,listed_count,favourites_count,statuses_count,default_profile,default_profile_image,last_status_created_at,last_status_source,created_at

-- Twitter 200m 4 GB packed -- sample: other/twitter_200m.csv
Email,Name,ScreenName,Followers,Created At

-- Twitter Hits 400m 14 GB packed -- sample: other/

-- 500px 15m -- sample: other/500px_sample.json
{"username"=>"tchebotarev", "email"=>"e@e15v.com", [..], "firstname"=>"Evgeny", "lastname"=>"Tchebotarev", "birthday"=>#<Date: 1985-04-25 ((2446181j,0s,0n),+0s,2299161j)>, "sex"=>1, "country"=>"Taiwan", "city"=>"Taipei", "fbid"=>nil}

-- 92m Israel MyHeritage -- sample: other/92M-Israel-myheritage.com.csv
gilad2003@fastmail.fm:c394e9160540dbd942df3c712265a60e025ad574:1084959b7b40941e42cf43173b6cf57c28d3b302:20060626114046

-- Cit0day 220m+ e-mail addresses 10 GB packed
In November 2020, a collection of more than 23,000 allegedly breached websites known as Cit0day were made available for download on several hacking forums. The data consisted of 226M unique email addresses.

-- 200k etoro.com -- sample: other/etoro_200k.tsv
Source	Name	Email	Country	IP	Deposit Amount	Deposit platform	ReDate

-- flytap portugal 6m (records of Europeans)  370 MB packed -- sample: other/flytap_portugal_6m.tsv
mdm_id	birth_date	salutation	communication_language	first_name	last_name	full_name	nationality	gender	address_city	address_country	address_detail	address_region	address_zipcode	email_description	registration_date	loyalty_tap_id	phone_number

-- myspace 350m 14 GB packed -- sample: other/myspace.txt
 (e-mail addresses and password hashes)

-- patreon 3 GB packed, SQL dump 14 GB unpacked

-- 6.5m health and fitness leads -- sample: other/haf_int_6.5m.csv
email;country;country_code;fb_pic;name;gender;ip

-- 19m photography enthusiasts' leads -- sample: other/photo_eyeem.csv
simoe_pasta@gmx.de;Moe;Moe;[..]];simoe  p.    Sí Pa
tmurphy75@gmail.com;tommurphy;tom murphy;[..];designer   photo ethusiast

-- 13m ebay customers  480 MB packed -- sample: other/ebay_13m.tsv
email	name	address	city	state	zip	country	phone	date of birth
viopanda@yahoo.com	Spatidis Ianis	156  Enfield Pl	Mississauga	On	L5B4L8	Canada	9056150617	1970-01-01

