---
updatedAt: 2026-08-27T21:08:46.000Z
agentTools:
projectIndex: https://api-documentation.versium.com/llms.txt
---
# Filter Parameters
## Geography Filters
| Parameters | Example | Notes |
| :-------------------- | :--------------------------- | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| d\_city\_state\[] | d\_city\_state\[]=seattle,wa | can be repeated multiple times to specify multiple locations. locations are converted to zip codes.
Max: 50 |
| d\_state\[] | d\_state\[]=wa | can be repeated multiple times to specify multiple locations. |
| d\_zip\[] | d\_zip\[]=98052 | can be repeated multiple times to specify multiple locations.
Max: 100 (shared with zip54) |
| d\_zip54\[] | d\_zip54\[]=12345-6789 | can be repeated multiple times to specify multiple locations.
Max: 100 (shared with zip) |
| d\_county\[] | d\_county\[]=king,wa | can't combine w/ metro, radius.
Max: 20 |
| cfg\_zipradius | cfg\_zipradius=10 | uses only d\_zip\[] and/or d\_city\_state\[] as center points, converts to lat/long, then locates zip codes within 10 pseudo-miles of each centroid |
| cfg\_zipradius\_focus | cfg\_zipradius\_focus=zip | can be one of 'zip' or 'citystate'; when used, limits the expansion of ZIPs using the given cfg\_zipradius to either d\_zip values passed or d\_city\_state values passed, respectively |
## Demographic Filters
| Parameters | Example | Notes |
| ------------------------ | -------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `d_gender` | `d_gender=M` | M, F |
| `d_education[]` | `d_education[]=C` | "A" => "Completed High School"
"B" => "Completed College"
"C" => "Completed Grad School"
"D" => "Tech/Vocational Training" |
| `d_occupation[]` | `d_occupation[]=J` | "A" => "Professional/Technical"
"B" => "Administration/Management"
"C" => "Sales/Service"
"D" => "Clerical/White Collar"
"E" => "Craftsmen/Blue Collar"
"F" => "Student"
"G" => "Homemaker"
"H" => "Retired"
"I" => "Farmer"
"J" => "Military"
"K" => "Religious"
"L" => "Self Employed"
"M" => "Self Employed - Professional/Technical"
"N" => "Self Employed - Administration/Management"
"O" => "Self Employed - Sales/Service"
"P" => "Self Employed - Clerical/White Collar"
"Q" => "Self Employed - Craftsmen/Blue Collar"
"R" => "Self Employed - Student"
"S" => "Self Employed - Homemaker"
"T" => "Self Employed - Retired"
"U" => "Self Employed - Other"
"V" => "Educator"
"W" => "Financial Professional"
"X" => "Legal Professional"
"Y" => "Medical Professional"
"Z" => "Other" |
| `d_num_children` | `d_num_children=2-3` | Range between 0–8 |
| `d_hhld_size` | `d_hhld_size=4-5` | Range 0-9 |
| `d_ownrent[]` | `d_ownrent[]=H` | H = Owner
R = Renter
9 = Probable Owner |
| `d_maritalstatus[]` | `d_maritalstatus[]=M` | "M" => "Married"
"S" => "Single"
"A" => "Married (Inferred)"
"B" => "Single (Inferred)" |
| `d_ethnicgroup[]` | `d_ethnicgroup[]=S` | "F" => "All African American Ethnic Groups"
"O" => "Far Eastern"
"A" => "Southeast Asian"
"C" => "Central & Southwest Asian"
"M" => "Mediterranean"
"N" => "Native American"
"S" => "Scandinavian"
"P" => "Polynesian"
"I" => "Middle Eastern"
"J" => "Jewish"
"W" => "Western European"
"E" => "Eastern European"
"U" => "Miscellaneous Other"
"Z" => "Uncoded (No Group)"
"Y" => "Hispanic"
"T" => "Other" |
| `d_language[]` | `d_language[]=S6` | "A1" => "Afrikaans"
"A2" => "Albanian"
"A3" => "Amharic"
"A4" => "Arabic"
"A5" => "Armenian"
"A6" => "Ashanti"
"A7" => "Azeri"
"B1" => "Bantu"
"B2" => "Basque"
"B3" => "Bengali"
"B4" => "Bulgarian"
"B5" => "Burmese"
"C1" => "Chinese (Mandarin, Cantonese and other dialects)"
"C2" => "Comorian"
"C3" => "Czech"
"D1" => "Danish"
"D2" => "Dutch"
"D3" => "Dzongha"
"E1" => "English"
"E2" => "Estonian"
"F1" => "Farsi"
"F2" => "Finnish"
"F3" => "French"
"G1" => "Georgian"
"G2" => "German"
"G3" => "Ga"
"G4" => "Greek"
"H1" => "Hausa"
"H2" => "Hebrew"
"H3" => "Hindi"
"H4" => "Hungarian"
"I1" => "Icelandic"
"I2" => "Indonesian"
"I3" => "Italian"
"J1" => "Japanese"
"K1" => "Kazakh"
"K2" => "Khmer"
"K3" => "Kirghiz"
"K4" => "Korean"
"L1" => "Laotian (Include Hmong)"
"L2" => "Latvian"
"L3" => "Lithuanian"
"M1" => "Macedonian"
"M2" => "Malagasy"
"M3" => "Malay"
"M4" => "Moldavian"
"M5" => "Mongolian"
"N1" => "Nepali"
"N2" => "Norwegian"
"O1" => "Oromo"
"P1" => "Pashto"
"P2" => "Polish"
"P3" => "Portuguese"
"R1" => "Romanian"
"R2" => "Russian"
"S1" => "Samoan"
"S2" => "Serbo-Croatian"
"S3" => "Sinhalese"
"S4" => "Slovakian"
"S5" => "Slovenian"
"S6" => "Somali"
"S7" => "Sotho"
"S8" => "Spanish"
"S9" => "Swahili"
"SA" => "Swazi"
"SB" => "Swedish"
"T1" => "Tagalog"
"T2" => "Tajik"
"T3" => "Thai"
"T4" => "Tibetan"
"T5" => "Tongan"
"T6" => "Turkish"
"T7" => "Turkmeni"
"T8" => "Tswana"
"UX" => "Unknown"
"U1" => "Urdu"
"U2" => "Uzbeki"
"V1" => "Vietnamese"
"X1" => "Xhosa"
"Z1" => "Zulu" |
| `d_religion[]` | `d_religion[]=J` | "B" => "Buddhist"
"C" => "Catholic"
"G" => "Greek Orthodox"
"H" => "Hindu"
"I" => "Islamic"
"J" => "Jewish"
"K" => "Sikh"
"L" => "Lutheran"
"M" => "Mormon"
"O" => "Eastern Orthodox"
"P" => "Protestant"
"S" => "Shinto"
"X" => "Not Known or Unmatched" |
| `d_workingwoman` | `d_workingwoman=Y` | Y only. Includes households with a working woman. |
| `d_singleparent` | `d_singleparent=Y` | Y only. Includes single parents. |
| `d_youngadult_hhld` | `d_youngadult_hhld=Y` | Y only. Includes households with a young adult. |
| `d_soho` | `d_soho=Y` | Y only. Includes small office/home office households. |
| `d_hhldveteran` | `d_hhldveteran=Y` | Y only. Includes households with a veteran. |
| `d_senior_hhld` | `d_senior_hhld=Y` | Y only. Includes households with a senior. |
| `d_presence_of_children` | `d_presence_of_children=Y` | Y only. Includes households with children present. |
| `d_military_history` | `d_military_history=Y` | Y only. Includes individuals with military history. |
## Household, Financial, & Automotive Filters
| Parameters | Example | Notes |
| --------------------------------------- | ----------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| d\_esthhldincome | d\_esthhldincome=O-O | "A" => "< $10,000"
"B" => "$10,000-14,999"
"C" => "$15,000-19,999"
"D" => "$20,000-24,999"
"E" => "$25,000-29,999"
"F" => "$30,000-34,999"
"G" => "$35,000-39,999"
"H" => "$40,000-44,999"
"I" => "$45,000-49,999"
"J" => "$50,000-54,999"
"K" => "$55,000-59,999"
"L" => "$60,000-64,999"
"M" => "$65,000-74,999"
"N" => "$75,000-99,999"
"O" => "$100,000-149,999"
"P" => "$150,000-174,999"
"Q" => "$175,000-199,999"
"R" => "$200,000-249,999"
"S" => "> $250,000" |
| d\_networth | d\_networth=D-F | "A" => "< $1"
"B" => "$1-4,999"
"C" => "$5,000-9,999"
"D" => "$10,000-24,999"
"E" => "$25,000-49,999"
"F" => "$50,000-99,999"
"G" => "$100,000-249,999"
"H" => "$250,000-499,999"
"I" => "> $499,999" |
| d\_lor | d\_lor=10-20 | Length of residence (years) |
| d\_home\_value | d\_home\_value=C-F | "A" => "$1,000-24,999"
"B" => "$25,000-49,999"
"C" => "$50,000-74,999"
"D" => "$75,000-99,999"
"E" => "$100,000-124,999"
"F" => "$125,000-149,999"
"G" => "$150,000-174,999"
"H" => "$175,000-199,999"
"I" => "$200,000-224,999"
"J" => "$225,000-249,999"
"K" => "$250,000-274,999"
"L" => "$275,000-299,999"
"M" => "$300,000-349,999"
"N" => "$350,000-399,999"
"O" => "$400,000-449,999"
"P" => "$450,000-499,999"
"Q" => "$500,000-749,999"
"R" => "$750,000-999,999"
"S" => "> $1,000,000" |
| d\_home\_year | d\_home\_year=1974-1990 | Home built in the year |
| d\_loantovalue | d\_loantovalue=50-80 | Range: 0-100 |
| d\_refi\_date | d\_refi\_date=20160101-20170101 | Use eight digit dates YYYYMMDD |
| d\_refi\_amount | d\_refi\_amount=200-300 | In thousands (e.g. 200 = $200,000) |
| d\_refi\_rate\_type | d\_refi\_rate\_type=F | A=Adjustable
B=Balloon
F=Fixed |
| d\_refi\_loan\_type | d\_refi\_loan\_type=C | 5=Community Development Authority
C=Conventional
F=FHA
P=Private Party Lender
S=Small Business Administration
W=Wrap-Around Mortgage |
| d\_auto\_year | d\_auto\_year=1970-1980 | |
| d\_age | d\_age=35-45 | Range: 18-100 |
| d\_creditrating | d\_creditrating=B-D | "A" => "800+"
"B" => "750-799"
"C" => "700-749"
"D" => "650-699"
"E" => "600-649"
"F" => "550-599"
"G" => "500-549"
"H" => "< 499" |
| d\_auto\_makemodel\[] | d\_auto\_makemodel\[]=Ford:Escape | Auto Make:Model |
| d\_creditlines | d\_creditlines=0-9 | Range: 0-9 |
| d\_dwellingtype | d\_dwellingtype=S | "M" => "Multi Family Dwelling Unit"
"S" => "Single Family Dwelling Unit"
"U" => "Unknown" |
| d\_home\_purchase\_date | d\_home\_purchase\_date=20100930 | |
| d\_home\_purchase\_price | d\_home\_purchase\_price=900 | "1" => "< $50k"
"50" => "$50k"
"100" => "$100k"
"150" => "$150k"
"200" => "$200k"
"250" => "$250k"
"300" => "$300k"
"400" => "$400k"
"500" => "$500k"
"600" => "$600k"
"700" => "$700k"
"800" => "$800k"
"900" => "$900k"
"1000" => "$1000k"
"1100" => "$1100k"
"1200" => "$1200k"
"1300" => "$1300k"
"1400" => "$1400k"
"1500" => "$1500k"
"1600" => "$1600k"
"1700" => "$1700k"
"1800" => "$1800k"
"1900" => "$1900k"
"2000" => "> $2M" |
| d\_mortgage\_purchase\_date | d\_mortgage\_purchase\_date=20200131 | |
| d\_mortgage\_purchase\_loan\_type\_code | d\_mortgage\_purchase\_loan\_type\_code=C | "5" => "Community Development Authority"
"C" => "Conventional"
"F" => "FHA"
"P" => "Private Party Lender"
"S" => "Small Business Administration"
"V" => "VA"
"W" => "Wrap-Around Mortgage" |
| d\_mortgage\_rate | d\_mortgage\_rate=35000-45000 | Mortgage rate range. Values are passed as rate × 10,000, so 35000-45000 means 3.50%-4.50%. Supported range is 0%-15% in 0.25% increments. |
| d\_mortgage\_rate\_type | d\_mortgage\_rate\_type=F | "A" => "Adjustable"
"B" => "Balloon"
"F" => "Fixed"
"U" => "" |
| d\_mortgage\_amount | d\_mortgage\_amount=200 | "1" => "< $50k"
"50" => "$50k"
"100" => "$100k"
"150" => "$150k"
"200" => "$200k"
"250" => "$250k"
"300" => "$300k"
"400" => "$400k"
"500" => "$500k"
"600" => "$600k"
"700" => "$700k"
"800" => "$800k"
"900" => "$900k"
"1000" => "> $1M" |
| d\_mortgage2\_loan\_type | d\_mortgage2\_loan\_type=C | "5" => "Community Development Authority"
"C" => "Conventional"
"F" => "FHA"
"P" => "Private Party Lender"
"S" => "Small Business Administration"
"V" => "VA"
"W" => "Wrap-Around Mortgage" |
| d\_mortgage2\_date | d\_mortgage2\_date=20200131 | |
| d\_mortgage2\_rate | d\_mortgage2\_rate=35000-45000 | Mortgage rate range. Values are passed as rate × 10,000, so 35000-45000 means 3.50%-4.50%. Supported range is 0%-15% in 0.25% increments. |
| d\_mortgage2\_rate\_type | d\_mortgage2\_rate\_type=A | "A" => "Adjustable"
"B" => "Balloon"
"F" => "Fixed"
"U" => "" |
| d\_mortgage2\_amount | d\_mortgage2\_amount=300 | "1" => "< $50k"
"50" => "$50k"
"100" => "$100k"
"150" => "$150k"
"200" => "$200k"
"250" => "$250k"
"300" => "$300k"
"400" => "$400k"
"500" => "$500k"
"600" => "$600k"
"700" => "$700k"
"800" => "$800k"
"900" => "$900k"
"1000" => "> $1M" |
| d\_home\_year | d\_home\_year=2000-2020 | Range: 1900-2024 |
| d\_home\_market\_value | d\_home\_market\_value=C-F | A-S coded range for estimated home market value |
| d\_cardholder\_bank | d\_cardholder\_bank=Y | Y only. Bank card holder. |
| d\_cardholder\_upscale | d\_cardholder\_upscale=Y | Y only. Upscale card holder. |
## Lifestyle & Interests Filters
| Parameters | Example | Notes |
| :--------------------------- | :----------------------------- | :---- |
| d\_onlinepurchaser | d\_onlinepurchaser=Y | |
| d\_apparel\_womens | d\_apparel\_womens=Y | |
| d\_apparel\_mens | d\_apparel\_mens=Y | |
| d\_investing\_active | d\_investing\_active=Y | |
| d\_pets | d\_pets=Y | |
| d\_magazines | d\_magazines=Y | |
| d\_electronics | d\_electronics=Y | |
| d\_gardening | d\_gardening=Y | |
| d\_home\_improvement | d\_home\_improvement=Y | |
| d\_travel | d\_travel=Y | |
| d\_exercise | d\_exercise=Y | |
| d\_golf | d\_golf=Y | |
| d\_motorcycles | d\_motorcycles=Y | |
| d\_hunting | d\_hunting=Y | |
| d\_fishing | d\_fishing=Y | |
| d\_shooting | d\_shooting=Y | |
| d\_weightloss | d\_weightloss=Y | |
| d\_lifestyle\_antiques | d\_lifestyle\_antiques=Y | |
| d\_lifestyle\_arts\_general | d\_lifestyle\_arts\_general=Y | |
| d\_lifestyle\_cooking | d\_lifestyle\_cooking=Y | |
| d\_lifestyle\_decorating | d\_lifestyle\_decorating=Y | |
| d\_lifestyle\_health\_beauty | d\_lifestyle\_health\_beauty=Y | |
| d\_mailorderbuyer | d\_mailorderbuyer=Y | |
| d\_lifestyle\_music | d\_lifestyle\_music=Y | |
| d\_lifestyle\_outdoor | d\_lifestyle\_outdoor=Y | |
| d\_lifestyle\_reading | d\_lifestyle\_reading=Y | |
| d\_lifestyle\_sports | d\_lifestyle\_sports=Y | |
## Political & Donor Filters
| Parameters | Example | Notes |
| :----------------------------------- | :------------------------------------- | :---------------------------------------------------------------------------- |
| d\_political\_party\[] | d\_political\_party\[]=REPUBLICAN | REPUBLICAN, DEMOCRAT, GREEN, INDEPENDENT, REFORM, NO AFFILIATION, LIBERTARIAN |
| d\_donation\_animals | d\_donation\_animals=Y | |
| d\_donation\_arts\_culture | d\_donation\_arts\_culture=Y | |
| d\_donation\_children | d\_donation\_children=Y | |
| d\_donation\_political\_conservative | d\_donation\_political\_conservative=Y | |
| d\_donation\_env\_wildlife | d\_donation\_env\_wildlife=Y | |
| d\_donation\_env | d\_donation\_env=Y | |
| d\_donation\_political\_liberal | d\_donation\_political\_liberal=Y | |
| d\_donation\_political | d\_donation\_political=Y | |
| d\_donation\_religion | d\_donation\_religion=Y | |
| d\_donation\_veterans | d\_donation\_veterans=Y | |
| d\_donation\_community | d\_donation\_community=Y | |
| d\_donation\_health | d\_donation\_health=Y | |
| d\_donation\_intl\_aid | d\_donation\_intl\_aid=Y | |
| d\_donation\_unspecified | d\_donation\_unspecified=Y | |