Person Data
Factori houses an extensive dataset of US Person data, providing valuable insights into individuals across various demographic and behavioral dimensions. Our US Person Data section is dedicated to helping you understand the breadth and depth of the information available through our API.
Unlocking Insights and Opportunities
With our API, you can access and utilize subsets of our comprehensive person dataset, empowering you to gain actionable intelligence, make data-driven decisions, and build innovative products and services. Whether you're a marketer, data scientist, or business analyst, our US Person Data can unlock new opportunities for your organization.
Exploring US Person Data
In this section of the documentation, we'll dive into the specifics of our US Person Data, including the types of data points we capture, the level of granularity available, and any additional attributes that can enhance your analysis. We'll also guide you on how to query and retrieve the desired data subsets using our API endpoints.
Comprehensive Person Data
Our US Person database is a comprehensive data enrichment solution designed to fill the gaps in your customer data and provide deeper insights into your consumers. We cover over 300 million profiles with over 40 variables based on location, demographics, lifestyle, hobbies, and behaviors.
Data Collection and Aggregation
Our Person data is gathered and aggregated through surveys, digital services, and public data sources. We use powerful profiling algorithms to collect and ingest only fresh and reliable data points. This ensures that the data you access is up-to-date and accurate.
Factori Data
Our comprehensive data enrichment solution includes a wide range of data attributes that can help you address gaps in your customer data, gain a deeper understanding of your customers, and power superior client experiences. Here are some of the data categories and attributes we offer within US Person Graph:
- Geography: City, State, ZIP, County, CBSA, Census Tract, etc.
- Demographics: Gender, Age Group, Marital Status, Language, etc.
- Financial: Income Range, Credit Rating Range, Credit Type, Net Worth Range, etc.
- Persona: Consumer type, Communication preferences, Family type, etc.
- Interests: Content, Brands, Shopping, Hobbies, Lifestyle, etc.
- Household: Number of Children, Number of Adults, IP Address, etc.
- Behaviors: Brand Affinity, App Usage, Web Browsing, etc.
- Firmographics: Industry, Company, Occupation, Revenue, etc.
- Retail Purchase: Store, Category, Brand, SKU, Quantity, Price, etc.
- Housing: Home type, Home value, Renter/Owner, Year Built, etc.
Data Reach
| Type | Count |
|---|---|
| Consumer ID | 364,645,621 |
| Phone Number | 184,699,229 |
| Email ID | 217,218,913 |
| MAID | 143,405,547 |
| Email Business | 75,571,628 |
| Social Profiles | 113,953,018 |
Data Attributes Within Person API
| Category | Attribute Name | Description |
|---|---|---|
| Factori | person_id | Factori assigned Person ID of the individual |
| General | first_name | First Name |
| General | last_name | Surname |
| General | gender | Gender Code: M - Male, F - Female |
| General | age | Age of the individual |
| Date of Birth | year | Year of birth - YYYY |
| Date of Birth | month | Month of birth - MM |
| Date of Birth | day | Day of birth - DD |
| Address | full_address | Full Address (including House Number, Directional, Street Name, etc.) |
| Address | city | City Name |
| Address | state | State Abbreviation: AL, FL, IL, NY, etc. |
| Address | zip | Zip Code: Five digit numbers only, e.g. 60614 |
| Address | zip4 | A ZIP+4 Code uses the basic five-digit code plus four additional digits to identify a geographic segment within the five-digit delivery area |
| Address | delivery_point_bar_code | The delivery point barcode, or DPBC, is a line of short and tall bars that helps identify a mailing's exact destination. |
| Address | carrier_route | A carrier route is a group of mailing addresses within a 5-digit ZIP code that the USPS groups together to make the mail delivery process more efficient. |
| Address | walk_sequence_code | Indicates whether a walk sequence code exists or not |
| Address | fips_state_code | Federal Information Processing System (FIPS) Codes for State |
| Address | fips_county_code | Federal Information Processing System (FIPS) Codes for County |
| Address | county_name | County Name |
| Address | latitude | Latitude |
| Address | longitude | Longitude |
| Address | address_type | Address type determines if it is a highrise, business complex, firm or company etc |
| Address | metropolitan_statistical_area | A geographic entity based on a county or a group of counties with at least one urbanized area with a population of at least 50,000 |
| Address | core_based_statistical_area | Core-based statistical area (CBSA) is a geographic region of the U.S., as defined by the Office of Management and Budget (OMB) |
| Address | census_tract | Census Tracts are small, relatively permanent statistical subdivisions of a county |
| Address | census_block | A census block is the smallest geographic unit used by the United States Census Bureau for tabulation |
| Address | census_block_group | A Census Block Group is a geographical unit used by the United States Census Bureau which is between the Census Tract and the Census Block |
| Address | primary_address | Primary Address |
| Address | pre_address | Pre Address |
| Address | street | Street Name or PO Box name, or RR # Box name, or HC # Box name |
| Address | post_address | Post Address |
| Address | address_suffix | Address Suffix |
| Address | address_secondline | Address Second Line |
| Address | address_abrev | Address Abbreviation |
| Property | census_median_home_value | Census median household value. Eg: "500" indicates that the Census Median Home Value is $500,000. |
| Property | home_market_value | Home Market Value |
| Property | property_build_year | Property build year |
| Property | property_with_ac | Property with AC |
| Property | property_with_pool | Property with Pool |
| Property | property_with_sewer | Property with Sewer |
| Property | property_with_water | Property with water |
| Property | general_home_value | General Home Value |
| Property | property_fuel_type | Property Fuel Type |
| Household | household_id | Household ID |
| Household | census_median_household_income | Census Median Household Income (in $) |
| Household | household_size | Household Size |
| Household | occupation_home_office | Occupation Home or Office |
| Household | dwell_type | Dwell Type: Single Family Dwelling Unit, Large multi-family w/o apt number etc |
| Household | household_income | Household Income (in $) |
| Household | marital_status | Marital Status |
| Household | length_of_residence | Length of residence |
| Household | number_of_kids | Number of Kids |
| Household | pre_school_kids | Number of Pre School Kids |
| Household | single_parent | Single Parent |
| Household | working_women_in_house_hold | Working women in household |
| Household | homeowner | Homeowner: Homeowner, Renter etc |
| Household | children | For example: 0_2_Male indicates that there is a male child in between the ages of 0-2 years. |
| Household | adults | For example: 75plus_Female indicates that there is an adult in the household above the age of 75. |
| Household | generations | Number of generations in the household |
| General | net_worth | Net worth of the individual |
| Education | education_level | Education level of the individual. For example - Completed High School, Completed College etc |
| Education | education_history | History of education |
| General | occupation | Occupation of the individual |
| General | occupation_business_owner | Occupation Business Owner |
| Credit Information | credit_lines | Number of lines of credit |
| Credit Information | credit_card_user | Indicates if the individual is a credit card user |
| Credit Information | newly_issued_credit_card_user | Indicates if the individual has been issues a new credit card |
| Credit Information | credit_range_new | Indicates the new credit range of the individual |
| Credit Information | credit_cards | Contains a list types of credit card held by the individual: for example - amex_premium_credit_card_holder, mastercard_premium_credit_card_holder |
| Mortgage | loan_to_value | Property Loan to Value Ratio |
| Mortgage | mortgage_loan2_amount | Loan amount on second mortgage on the house |
| Mortgage | loan_date | Date on which loan was taken |
| Mortgage | mortgage_loan_type | Type of lender- Example: Private party lender, wrap-around mortgage etc |
| Mortgage | mortgage_loan2_type | Type of lender- Example: Private party lender, wrap-around mortgage etc |
| Mortgage | mortgage_lender_code | Code of first lender |
| Mortgage | mortgage_loan2_lender_code | Code of second lender |
| Mortgage | mortgage_lender | Mortgage Lender of first loan |
| Mortgage | mortgage_loan2_lender | Mortgage Lender of second loan |
| Mortgage | mortgage_loan2_ratetype | Rate type of second loan: Adjustable or Fixed |
| Mortgage | mortgage_rate | Rate of first mortgage |
| Mortgage | mortgage_loan2_rate | Rate of second mortgage |
| General | credit_rating | Credit rating of the individual |
| Donor | donor | List of all types of donations made by the individual |
| Investor | investor | List of all types of investments made by the individual |
| Interests | interests | List of all interests of the individual |
| Buyer | buyer | List of past purchases |
| Hobby | hobby | Hobbies of the individual |
| Phone | phone_number | Array of all phone numbers |
| Phone | phone_sha1 | Array of phone number tagged in sha128 hashed format |
| Phone | phone_sha2 | Array of phone number tagged in sha256 hashed format |
| Phone | phone_md5 | Array of phone numbers tagged in md5 hashed format |
| Phone | iscellphone | Indicates if the device is a cellphone |
| Phone | islandline | Indicates if the device is a landline |
| Phone | carrier | Name of the phone carrier |
| Phone | phone_last_seen | The most current date when the device has been seen |
| personal_email_address | Array of personal email ids tagged | |
| personal_email_sha1 | Array of email ids tagged in sha128 hashed format | |
| personal_email_sha2 | Array of email ids tagged in sha256 hashed format | |
| personal_email_md5 | Array of email ids tagged in md5 hashed format | |
| work_email_address | Array of work email ids tagged | |
| work_email_sha1 | Array of email ids tagged in sha128 hashed format | |
| work_email_sha2 | Array of email ids tagged in sha256 hashed format | |
| work_email_md5 | Array of email ids tagged in md5 hashed format | |
| Devices | maid | Array of Mobile Advertisement Id |
| Devices | maid_sha1 | Array of Mobile Advertisement Id in sha128 format |
| Devices | maid_sha2 | Array of Mobile Advertisement Id in sha256 format |
| Devices | maid_md5 | Array of Mobile Advertisement Id in md5 format |
| Devices | device_type | Mobile Advertisement ID type |
| Work | employee_title | Job title of the individual |
| Work | employee_level | Job level of the individual |
| Work | employee_job_function | Job function of the individual |
| Work | employee_department | Job department of the individual |
| Work | skills | Skills of the individual |
| Work | recent_job_change | Recent Job Change |
| Work Experience | work_experience | Work experience of the individual |
| Company | company_id | ID of the company |
| Company | company_name | Name of the company the individual works for |
| Company | company_description | Description of the company |
| Company | technologies_used | Technologies used in the company |
| Company | office_address | Office address of the individual |
| Company | office_city | Office city of the individual |
| Company | office_county | Office county of the individual |
| Company | office_state | Office state of the individual |
| Company | office_zip5 | Office zip of the individual |
| Company | office_zip4 | Office zip4 of the individual |
| Company | office_carrier_route | Office carrier route |
| Company | office_latitude | Office latitude |
| Company | office_longitude | Office longitude |
| Company | office_cbsa_code | Office core based statistical area code |
| Company | office_census_block_group | Office census block group |
| Company | office_census_tract | Office census tract |
| Company | office_county_code | Office county code |
| Company | company_phone | Company phone |
| Company | company_credit_score | Company Credit Score |
| Company | company_csa_code | Company csa code |
| Company | company_dpbc | Company delivery point bar code |
| Company | company_franchiseflag | Company franchise flag |
| Company | company_facebookurl | Company facebook URL |
| Company | company_linkedinurl | Company LinkedIn URL |
| Company | company_twitterurl | Company twitter URL |
| Company | company_website | Company Website |
| Company | company_fortune_rank | Company Fortune Rank |
| Company | company_headquarters_branch | Company headquarters branch |
| Company | company_home_business | Value indicates if the company is a home business |
| Company | company_industry | Industry that the company works in |
| Company | company_num_pcs_used | Number of PCs used in the company |
| Company | company_num_employees | Number of employees in the company |
| Company | company_msa | Company Metropolitan Statistical Area Code |
| Company | company_msa_name | Company Metropolitan Statistical Area name |
| Company | company_naics_code | Company NAICS code |
| Company | company_naics_description | Company NAICS description |
| Company | company_naics_code2 | Company NAICS code 2 |
| Company | company_naics_description2 | Company NAICS description 2 |
| Company | company_sic_code2 | Company SIC code 2 |
| Company | company_sic_code2_description | Company SIC description 2 |
| Company | company_sic_code4 | Company SIC code 4 |
| Company | company_sic_code4_description | Company SIC description 4 |
| Company | company_sic_code6 | Company SIC code 6 |
| Company | company_sic_code6_description | Company SIC description 6 |
| Company | company_sic_code8 | Company SIC code 8 |
| Company | company_sic_code8_description | Company SIC description 8 |
| Company | company_parent_company | Company Parent Company |
| Company | company_parent_company_location | Company parent company location |
| Company | company_subsidiary_company | Company subsidiary company |
| Company | company_revenue_range | Revenue Range of the company |
| Company | company_revenue | Company Revenue |
| Company | company_sales_volume | Sales volume of the company |
| Company | company_small_business | True - Small Business, False - Not a Small Business |
| Company | company_stock_ticker | Stock Ticker of the Company |
| Company | company_year_founded | Year in which the company was founded |
| Company | company_minorityowned | Minority owned company - True/False |
| Company | company_female_owned_or_operated | Female owned or operated company - True/False |
| Company | company_franchise_code | Company Franchise Code |
| Company | company_dma | Company Designated Market Area Code |
| Company | company_dma_name | Company Designated Market Area Name |
| Company | company_hq_address | Company HQ Address |
| Company | company_hq_city | Company HQ City |
| Company | company_hq_duns | Company HQ DUNS |
| Company | company_hq_state | Company HQ State |
| Company | company_hq_zip5 | Company ZIP code |
| Company | company_hq_zip4 | Company ZIP+4 code |
| Company | company_sector | Sector of the company |
| Company | company_duns_number | Company DUNS number |
| Social | linkedin_url | LinkedIn URL |
| Social | facebook_url | Facebook URL |
| Social | twitter_url | Twitter URL |
Updated 12 days ago