US Dental Patient & Household Marketing Leads Database – 9.7M Households
Price range: $3,500.00 through $45,000.00
GDPR / Legal compliance info
Extra free email validation is included with purchased data.
Nationwide US dental patient marketing database with 12.4M records and 9.7M households. Phone, email, address, DOB, gender, and household segments.
Description
Published February, 2026
Pricing Tiers
(See another table below for custom extractions pricing)
| Tier | Description | Approx. Size | Price |
|---|---|---|---|
| 🥉 Tier 1 | Single US State · All Dental Households (2020–2022) | 200K–800K households | $3,500 |
| 🥈 Tier 2 | 3-State Bundle · All Dental Households (2020–2022) | 1.5M–2.5M households | $8,500 |
| 🥈 Tier 3 | US Census Region · All Dental Households (2020–2022) | 2.5M–4.0M households | $14,500 |
| 🥇 Tier 4 | Single State · Family Dental Households (3+ members) | 40K–120K households | $7,500 |
| 💎 Tier 5 | Prime Family Dental Households · Ages 30–50 · Up to 5 States | ~300K households | $22,500 |
| 👑 Tier 6 | Full US Dental Patient & Household Database (2020–2022) | 9.7M households / 12.4M records | $45,000 |
Delivery: Secure digital delivery within 24 hours
Format: Compressed CSV
License: One-time, as-is delivery. No updates included.
Custom Extraction Pricing
(Manual Quote, prices can be lower than specified in table below – contact us)
| Tier | Description | Typical Size | Price Range |
|---|---|---|---|
| 🔧 Custom 1 | Single State · Custom Age Band (Any Household Size) | 80K–300K households | $4,000 – $6,000 |
| 🔧 Custom 2 | Single State · Urban-Only or Rural-Only Households | 50K–250K households | $4,500 – $7,000 |
| 🔧 Custom 3 | Single State · Exact Household Size (4+ or 5+) | 20K–90K households | $5,500 – $9,000 |
| 🔧 Custom 4 | Multi-State · Custom Segment (Age × Household) | 200K–700K households | $10,000 – $15,000 |
| 🔧 Custom 5 | ZIP-Level Targeting · High-Density Areas | Variable (ZIP-based) | $12,000 – $19,000 |
| 🔧 Custom 6 | Highly Tailored Extraction (Multi-criteria) | Project-specific | Contact us |
Custom extractions are prepared manually and quoted individually.
Pricing depends on geography, audience selectivity, and processing complexity. All custom orders are subject to minimum record thresholds and review prior to delivery.
Custom Criteria Examples
-
-
Age bands (e.g. 25–34, 45–60)
-
Pediatric households (children present)
-
Urban-only or rural-only targeting
-
ZIP-level or metro-area focus
-
Exact household size (4+, 5+)
-
Combined filters (age + family size + geography
-
This dataset provides a nationwide view of US dental patients aggregated across multiple dental practices and systems, covering the 2020–2022 period. Records have been professionally cleaned, validated, and deduplicated with a household-preservation methodology to maximize real-world marketing usability.
The final file contains 12.4 million individual patient records organized into 9.7 million unique households, enabling both individual-level and family-based campaign strategies. Each record includes verified geographic data and available contact channels, making the dataset suitable for multi-channel outreach, audience modeling, and regional targeting.
Unlike raw practice exports, this dataset has been normalized and consolidated to remove redundant individuals while preserving household structure — a critical advantage for dental marketing agencies running family plans, pediatric campaigns, and long-term patient acquisition programs.
Key Features
-
-
Nationwide coverage across all 50 US states and territories
-
Household-preserved structure for family-level targeting
-
Deduplicated at person and landline levels
-
Validated state and ZIP code normalization
-
High availability of age and demographic attributes
-
Optimized for segmentation, modeling, and direct outreach
-
Dataset Specifications
| Attribute | Value |
|---|---|
| Total Records | 12,418,485 |
| Unique Households | 9,746,165 |
| Coverage Period | 2020-2022 |
| Geographic Scope | All 50 US States + Territories |
| File Format | CSV |
| File Size | 1.35 GB |
| Average per Household | 1.27 |
Data Quality & Processing
| Stage | Input | Output | Reduction |
|---|---|---|---|
| Raw Import | 15,550,100 | 15,550,100 | — |
| State Validation | 15,550,100 | 14,785,215 | 4.9% |
| Tiered Deduplication | 14,785,215 | 12,418,485 | 16.0% |
| Final Dataset | — | 12,418,485 | 20.1% total |
| Quality Metric | Result |
|---|---|
| Valid State Codes | 100% (56 US states/territories) |
| Invalid/Empty States Removed | 764,885 records |
| Exact Duplicates Removed | 595,874 records |
| Landline Consolidation | 1,770,856 records |
| Valid Birthdays | 89.5% (11,117,523 records) |
| Households Identified | 9,746,165 |
Household Segmentation
| Type | Households | Percentage | Avg Members | Use Case |
|---|---|---|---|---|
| Single (1) | 8,298,991 | 85.2% | 1.0 | Individual dental plans |
| Couple (2) | 989,797 | 10.2% | 2.0 | Spousal add-on campaigns |
| Small Family (3) | 265,222 | 2.7% | 3.0 | Parent + child marketing |
| Large Family (4) | 106,525 | 1.1% | 4.0 | Full family plan targeting |
| Extended (5+) | 85,630 | 0.9% | 5.3+ | Multi-generational care |
Geographic Distribution
| State | Households | Members | Avg Size | Large Families (4+) | Large Fam % |
|---|---|---|---|---|---|
| TX | 768,602 | 1,012,783 | 1.32 | 17,678 | 2.3% |
| MA | 727,283 | 1,005,176 | 1.38 | 21,091 | 2.9% |
| OH | 670,761 | 787,728 | 1.17 | 6,708 | 1.0% |
| PA | 648,944 | 999,862 | 1.54 | 29,847 | 4.6% |
| CA | 633,377 | 796,434 | 1.26 | 10,134 | 1.6% |
| NY | 505,144 | 644,938 | 1.28 | 10,608 | 2.1% |
| IL | 504,854 | 587,706 | 1.16 | 5,049 | 1.0% |
| FL | 463,612 | 568,228 | 1.23 | 6,027 | 1.3% |
| IN | 376,136 | 448,135 | 1.19 | 4,889 | 1.3% |
| VA | 368,873 | 485,301 | 1.32 | 7,746 | 2.1% |
| Geography Type | Households | Percentage | Avg Size |
|---|---|---|---|
| Urban | 2,339,474 | 24.0% | 1.29 |
| Rural | 7,396,196 | 75.9% | 1.27 |
| Unknown | 10,495 | 0.1% | — |
Data Fields (14 Columns)
| # | Field | Type | Example |
|---|---|---|---|
| 1 | id | Integer | 12448089 |
| 2 | first_name | String | Dominique |
| 3 | last_name | String | McBroom |
| 4 | String | [email protected] | |
| 5 | cell_phone | String | 8038148653 |
| 6 | home_phone | String | 3523316185 |
| 7 | work_phone | String | 8043052953 |
| 8 | birthday | Date | 1997-06-02 |
| 9 | address | String | P.o box 142021 |
| 10 | address2 | String | Apt 4B |
| 11 | city | String | Gainesville |
| 12 | state | String | FL |
| 13 | zip | String | 32614 |
| 14 | sex | String | F |
Compliance & Data Handling
| Aspect | Status | Details |
|---|---|---|
| HIPAA Compliance | ✅ | No clinical records |
| State Privacy Laws | ✅ | CCPA/GDPR aligned processing |
| Data Source | Aggregated dental practice management systems (2020-2022) | |
| Deduplication Method | Tiered: exact match + household consolidation | |
| Validation | 95%+ state code accuracy, 89.5% valid birthdays |
Use Cases
| Campaign Type | Target Segment | Estimated Reach |
|---|---|---|
| Individual dental plans | Bronze tier | 8.3M households |
| Family plan campaigns | Gold/Platinum/Diamond | 659K households |
| Pediatric dentistry | Platinum (with age <18) | 316K households |
| Cosmetic dentistry | Urban singles/couples, age 30-50 | 2.1M households |
| Rural practice expansion | Rural Bronze/Silver | 7.4M households |
| Direct mail marketing | All tiers with valid addresses | 12.4M records |
Example data (scroll right):
id first_name last_name email cell_phone home_phone work_phone birthday address address2 city state zip sex
12448089 Dominique McBroom 3523316185 1997-06-02 00:00:00 P.o box 142021 Gainesville FL 32614 F
10939092 Zachary Harper 8042719332 8043052953 1988-04-29 00:00:00 7601 Middlefield Court Chesterfield VA 23832 M
10915625 Wendy Holt [email protected] 8038148653 8038148653 1991-06-25 00:00:00 25 Adams Ave #403 Stamford CT 06902 F
3854119 Thomas Wininger 4022748925 402 402 1988-02-23 00:00:00 2315 Stone Creek Loop S Lincoln NE 68512 M
10158727 Mariah Schroder 4402859683 2003-12-09 00:00:00 13825 Montclair Dr Chardon OH 44024
5553149 Bette Skertich 5635832662 1943-07-01 00:00:00 870 Sussex Crete IL 60417 F
10158726 Mohamed Ibrahem 2163947888 1980-04-04 00:00:00 18817 Parkmount Ave Cleveland OH 44135
6631585 Robert Isgro 4404945117 4404945117 1955-11-17 00:00:00 120 Falling Rock Way Berea OH 44017
11079442 Sandra Paullin 8437094340 1969-06-25 00:00:00 PO Box 29476 Charlotte NC 28229
12224998 Aleandra Becchetti 6512606502 1982-12-20 00:00:00 1550 Foss Road Apt 5 New Brighton MN 55112 F
16547738 Leslie Infinger 18438215030 2963452 2000-08-22 00:00:00 613 St Ives Ln Goose Creek SC483339086 SC 29445 F
4653220 Keith Falgout 19857646904 1967-11-08 00:00:00 244 Murray Hill Dr. Destrehan LA007054 LA 70047 M
13654969 Jorge Pulgarin 6175675488 6179733751 1951-07-19 00:00:00 110 White St. Apt # 3 E.Boston MA 02128 M
16620038 Miranda Wood 7254103 1993-05-28 00:00:00 5119 Glen Heather Dr. Roanoke VA 24018 F
4942705 Jenny Ahn [email protected] 19174949195 17182040686 1980-04-21 00:00:00 28-08 Crescent St Apt 11 Astoria NY/11355 NY 11102
17455926 Darren Mitchell 3138351798 3135224020 1972-01-04 00:00:00 8341 Indiana St. Detroit MI 48204 M
14883935 Marilyne Ross 8572884 1962-05-19 00:00:00 5136 Park Central Drive #225 Orlando FL 32839 F
15207088 Beahlen Deacon 5403093436 5403093436 540 2010-10-25 00:00:00 1106 Rainbow Forest Dr Troutville VA 24175 F
17455927 Daniel Hughes 3134555687 3135885544 1961-05-20 00:00:00 11417 Aspen Plymouth MI 48170 M
7459721 Joyce Cranshaw 4012540878 1931-04-13 00:00:00 59 Sea Breeze Lane Bristol RI 02809
4453824 Amber Salter 1987-05-12 00:00:00 114 Sterling Dr. Hurricane DriveWV/13221 WV 25526 F
15716437 Bradley Smith 3607698045 3608955696 1970-10-07 00:00:00 P.O. Box 407 Port Orchard WA 98366 M
1822881 Zachary Grow [email protected] 8036083299 8433884097 2000-02-18 00:00:00 4032 Colonel Vanderhorst Circle Mt. Pleasant SC 29466
18635221 Chasity Travis 8703784875 870 1975-08-01 00:00:00 22 East Randabaugh Biggers AR953005 AR 72413 F
11021424 Lewis Miller 7045037434 7047885637 1954-06-11 00:00:00 4500 Bellmore Court Charlotte NC 28269
11022750 William Moore 7048969519 1954-02-26 00:00:00 17100 Jetton Road Cornelius NC 28031
1822883 MacKenzi Jarocki [email protected] 8436062208 2001-05-20 00:00:00 1160 Black Rush Circle Mt. Pleasant SC 29466
16913017 Binh Nguyen 8253382 7813269616 1971-01-01 00:00:00 19 Nixon St Dorchester MA 02124 M
14446054 Reginald Kotas 4143326874 1943-05-14 00:00:00 4832 N. Navajo Avenue Glendale WI 53217 M
14681118 John Cantrell 2763282037 1954-02-18 00:00:00 9721 Turkey Branch Road Wise VA 24293 M
12452343 James W. Jeffcoat 9722484556 1961-04-01 00:00:00 5135 Summit Hill Drive Dallas TX 75287 M
14446056 Lawrence Boyer 2627413600 1915-01-08 00:00:00 W3930 Cty Rd. Nn Elkhorn WI 53121 M
3854580 Abbey Hipple 4025700404 402 4024718365 1987-07-14 00:00:00 2115 B Street Apt 5 Lincoln NE 68502 F
12491351 Emily Barras 4787313023 2001-09-14 00:00:00 938 NW 252nd DR Newberry FL 32669 F
7374782 Christy Donnelly 3012413109 1986-11-13 00:00:00 PO Box 857 Cascade MD170898200 MD 21719
18631385 Caleb_ Shipley 3782336 870 1989-01-20 00:00:00 189 Burgess Pocahontas AR 72455 M
14883936 Christina Alvarez 9338534 1988-12-27 00:00:00 2334 Windsong Drive Kissimmee FL 34741 F
5530881 Loyce Johnson 7133427387 1945-05-26 00:00:00 4440 San Felipe #138 Houston TX77598 TX 77056
10939096 Tyler Allen 4349839297 8044343927 1988-12-07 00:00:00 P O Box 471 Dillwyn VA 23936 M
Related Content:
Additional information
| Prudict tier (see tables below) | 🥉 Tier 1, 🥈 Tier 2, 🥈 Tier 3, 🥇 Tier 4, 💎 Tier 5, 👑 Tier 6 |
|---|