Las Vegas visitors and resort guests. Highest casino player concentration. Ideal for local casino marketing, event promotion, and hospitality services targeting Nevada tourism.
2
California Coast
8.1M records (CA only)
$1,999
High-income California travelers and entertainment seekers. Largest single-state market representing 24% of total database. Best for CA-based hospitality, luxury goods, and coastal tourism marketing.
3
Sun Belt
6.5M records (TX+FL+AZ+NV)
$1,499
Warm climate travelers across four major Sun Belt states. Targets snowbirds, seasonal residents, and retirement communities. Perfect for winter travel packages and migration-based marketing.
4
Top 10 States
17.8M records (CA +TX +NY +FL +NV +MI +NJ +AZ +IL +OH)
$2,999
Major metropolitan travelers across primary US travel corridors. Covers 52% of total database. Optimal for national brand campaigns and major market penetration strategies.
5
Premium Contacts
17M records (all states)
$3,499
High-value records with both phone and email verified. 100% dual-channel contactability vs 84%/67% standard rate. Maximum deliverability for multi-channel campaigns and high-ROI targeting.
6
Enterprise Full
34M records (all 50 states + DC)
$6,000
Complete USA traveler database. Full demographic coverage for national rollout, data reselling, analytics, and AI training. Single purchase, perpetual license.
Select specific states, age ranges, or contact types. Minimum 500,000 records. 24-48 hour custom extraction. Best for testing campaigns or targeting exact demographics before scaling.
All prices one-time payment, perpetual license. No updates provided. Data sold as-is.
This dataset contains 34,028,527 unique U.S. consumer records associated with visits to casino hotels and resort destinations across the United States. The audience was compiled and cross-matched from multiple data sources, deduplicated, and standardized into a single historical file covering the 2010–2020 period.
These guests mostly visited MGM hotels.
Only records with at least one contact method (phone or email) are included.
USA Consumer Traveler Database 2010-2020 is a large-scale B2C contact dataset compiled from multiple hospitality and consumer data sources. Contains 34 million unique records with verified contact information ideal for multi-channel marketing campaigns, lead generation, and customer acquisition.
This dataset represents a cross-section of USA travelers and resort visitors, primarily covering major tourism markets including Las Vegas, California, Florida, and Texas. Data spans a 10-year period (2010-2020) capturing pre-pandemic travel demographics and consumer behavior patterns.
Key Dataset Features
Total unique records: 34,028,527 (duplicates removed)
Geographic coverage: All 50 US states + DC
Data fields: Full name, city, state, ZIP code, phone number, email address, date of birth
Contact completeness: 84.3% phone, 66.8% email, 51.1% both
Primary states: California (8.1M), Texas (2.5M), New York (1.6M), Florida (1.5M), Nevada (1.5M)
Age distribution: 70% born between 1950-1990 (peak travel demographic)
File format: CSV (comma-separated values)
Single purchase, perpetual license, sold as-is with no updates
Use Cases: Direct mail campaigns, telemarketing, email marketing, demographic analysis, travel industry research, customer profiling, market segmentation, lead scoring.
Data Quality Notes: Compiled from multiple resort and hospitality databases. Records represent guest check-ins, loyalty program enrollments, and booking systems. Email addresses and phone numbers validated for format correctness. Date of birth available for 58% of records. Records without contact information have been excluded. State codes validated against USPS official abbreviations.
Compliance: Data provided as-is for marketing and research use. Buyer responsible for compliance with CAN-SPAM, TCPA, and applicable state regulations. No opt-in status indicated.
Data Composition Table
Metric
Count
Percentage
Total records
34,028,527
100%
With phone number
28,689,292
84.3%
With email address
22,734,427
66.8%
Phone + email (both)
17,395,192
51.1%
Phone only
11,294,100
33.2%
Email only
5,339,235
15.7%
With date of birth
19,643,664
57.7%
Top 20 States by Record Count
Rank
State
Records
Share
1
CA
8,094,947
23.8%
2
TX
2,455,324
7.2%
3
NY
1,570,822
4.6%
4
FL
1,535,102
4.5%
5
NV
1,512,436
4.4%
6
MI
1,299,455
3.8%
7
NJ
1,213,208
3.6%
8
AZ
1,209,690
3.6%
9
IL
1,162,766
3.4%
10
OH
930,833
2.7%
11
WA
914,828
2.7%
12
PA
880,406
2.6%
13
CO
806,263
2.4%
14
GA
727,482
2.1%
15
VA
632,721
1.9%
16
MD
571,100
1.7%
17
TN
544,883
1.6%
18
MA
539,286
1.6%
19
LA
481,046
1.4%
20
MS
459,460
1.4%
Remaining 30 states: 11,698,171 records (34.4%)
Birth Year Distribution (Top 20)
Rank
Year
Decade
Records
1
1970
1970s
462,709
2
1971
1970s
445,073
3
1980
1980s
436,554
4
1969
1960s
431,118
5
1981
1980s
426,097
6
1982
1980s
425,252
7
1979
1970s
422,306
8
1972
1970s
419,600
9
1977
1970s
419,367
10
1978
1970s
415,343
11
1964
1960s
412,610
12
1974
1970s
411,735
13
1983
1980s
411,681
14
1985
1980s
410,969
15
1968
1960s
410,539
16
1975
1970s
409,845
17
1976
1970s
409,225
18
1963
1960s
407,558
19
1984
1980s
406,294
20
1973
1970s
405,761
Decade Summary
Decade
Records
Percentage (of DOB records)
1920s
244,934
1.2%
1930s
740,451
3.8%
1940s
1,928,282
9.8%
1950s
3,231,000
16.4%
1960s
4,041,367
20.6%
1970s
4,220,964
21.5%
1980s
3,941,366
20.1%
1990s
1,229,369
6.3%
2000+
24,757
0.1%
No DOB
14,384,863
42.3% of total
Data Coverage Table
Attribute
Coverage
Notes
Full name
100%
First and last name included
City
100%
Verified USPS city names
State
100%
50 states + DC only
ZIP code
100%
5-digit format
Phone
84.3%
Mobile and landline mixed
Email
66.8%
Personal and business domains
Date of birth
57.7%
YYYY/MM/DD format
File Specifications
Specification
Detail
Format
CSV (UTF-8 encoding)
Total file size
~2.1 GB uncompressed
Record count
34,028,527
Columns
7 (name, city, state, zip_code, phone, email, dob)
Delimiter
Comma
Line endings
CRLF (Windows standard)
Header row
Yes
Audience Context
Records represent individuals associated with casino hotel and resort visitation environments, including leisure travel, entertainment destinations, and hospitality venues.
The dataset does not imply gambling behavior, spend levels, or loyalty status and should be treated as a modeled visitor audience, not transactional or first-party customer data.
