Colorado Ranks First in US Ashley Madison Searches While Mississippi Ranks Lowest
Colorado leads all US states in Google searches for married dating platform Ashley Madison with 474 searches per 100,000 residents, while Mississippi ranks lowest at 192.

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Colorado recorded the highest rate of Google searches for married dating platform Ashley Madison at 474 searches per 100,000 residents, while Mississippi logged the lowest search rate nationwide at 192.
[DENVER] — Digital consumer search data evaluating monthly Google query volumes reveals significant regional variations in search interest for married dating service Ashley Madison across the United States. Colorado ranked first nationwide, generating 474 monthly searches per 100,000 residents—equating to approximately 27,500 total state queries per month. In contrast, Mississippi registered the lowest search volume among all 50 states at 192 queries per 100,000 residents. Data analysts emphasize that search queries reflect online curiosity, media coverage, and digital research habits rather than verified user membership or real-world activity.
National Search Volumes and Top Ten Ranking States
Nationally, Ashley Madison averages approximately 214,000 Google searches per month, making it the third most searched dating platform in the United States.
To normalize search volumes across varying state populations, researchers calculated average monthly search queries per 100,000 residents. Behind Colorado's lead rate of 474 searches per 100,000 residents, North Dakota ranked second at 412, followed by New Hampshire at 407.
Northern and Midwestern states featured prominently across the top ten rankings:
- Illinois: 405 searches per 100k
- Nebraska: 400 searches per 100k
- Montana: 392 searches per 100k
- Washington: 391 searches per 100k
- Massachusetts: 389 searches per 100k
- Connecticut: 385 searches per 100k
- New York: 381 searches per 100k
Top 5 States by Search Volume (per 100k Residents):
├── 1. Colorado: 474 per 100k (~27,500 monthly searches)
├── 2. North Dakota: 412 per 100k
├── 3. New Hampshire: 407 per 100k
├── 4. Illinois: 405 per 100k
└── 5. Nebraska: 400 per 100k
Mid-Tier Search Rates Across Population Centers
State search rates across major population centers and sunbelt regions showed consistent mid-tier concentration.
Minnesota followed the top ten at 380 searches per 100,000 residents. Western and southwestern states logged moderate volumes, including Arizona (362 per 100k), Oregon (360 per 100k), and Nevada (358 per 100k).
Among the largest U.S. states by total population, California recorded 345 searches per 100,000 residents, Florida registered 333 per 100k, Georgia logged 328 per 100k, and Texas posted 317 per 100k. Midwestern industrial hubs like Michigan (346 per 100k), Ohio (353 per 100k), Indiana (310 per 100k), and Wisconsin (312 per 100k) aligned within the mid-tier range.
States Recording the Lowest Digital Search Volumes
Southern and remote geographic regions occupied the lowest positions in the national search assessment.
Mississippi recorded the lowest digital search index in the country at 192 queries per 100,000 residents—less than half the search rate observed in Colorado. Louisiana recorded the second-lowest rate at 223 per 100k, followed by Arkansas at 228 per 100k, Hawaii at 235 per 100k, and Alaska at 245 per 100k.
Additional low-volume states included West Virginia (248 per 100k), Alabama (263 per 100k), Kentucky (266 per 100k), South Dakota (284 per 100k), and New Mexico (285 per 100k).
Bottom 5 States by Search Volume (per 100k Residents):
├── 46. Alaska: 245 per 100k
├── 47. Hawaii: 235 per 100k
├── 48. Arkansas: 228 per 100k
├── 49. Louisiana: 223 per 100k
└── 50. Mississippi: 192 per 100k
Comprehensive Benchmark of State-by-State Search Volume
The table below details search rates per 100,000 residents across high-volume, mid-tier, and low-volume state categories.
| Ranking Tier | State Jurisdiction | Monthly Searches per 100k | Estimated Monthly Total Searches |
|---|---|---|---|
| Top Tier (#1) | Colorado | 474 | ~27,500 |
| Top Tier (#2) | North Dakota | 412 | State Population Adjusted |
| Top Tier (#3) | New Hampshire | 407 | State Population Adjusted |
| Top Tier (#4) | Illinois | 405 | State Population Adjusted |
| Top Tier (#5) | Nebraska | 400 | State Population Adjusted |
| Mid Tier | Minnesota | 380 | State Population Adjusted |
| Mid Tier | Arizona | 362 | State Population Adjusted |
| Mid Tier | California | 345 | High Total Absolute Volume |
| Mid Tier | Florida | 333 | High Total Absolute Volume |
| Mid Tier | Texas | 317 | High Total Absolute Volume |
| Bottom Tier (#46) | Alaska | 245 | Low Search Rate per 100k |
| Bottom Tier (#47) | Hawaii | 235 | Low Search Rate per 100k |
| Bottom Tier (#48) | Arkansas | 228 | Low Search Rate per 100k |
| Bottom Tier (#49) | Louisiana | 223 | Low Search Rate per 100k |
| Bottom Tier (#50) | Mississippi | 192 | Lowest Search Rate per 100k |
Distinguishing Search Intent From Real-World Behavioral Data
Data analysts stress that Google search volume metrics represent digital interest rather than active platform engagement or relationship behavior.
An internet search for a brand or topic can be triggered by news coverage, pop culture references, advertising exposure, academic research, or casual online curiosity. Consequently, high search rates do not provide proof of user account registration, active messaging, or marital infidelity.
Separating digital search signals from behavioral outcomes is critical when interpreting public data sets to avoid misattributing online queries to physical actions.
Strategic Implications of Regional Digital Footprints
Analyzing localized search data offers valuable insights into regional online behavior, digital ad targeting, and market dynamics.
Digital marketers and researchers utilize population-adjusted search volumes to identify where online topics generate elevated organic interest. Regional search variance highlights how internet user habits, demographic profiles, and media consumption patterns differ across geographic markets.
Understanding digital search signals allows analysts to map online interest without drawing unsupported conclusions regarding consumer actions.
Why This Matters for Data Analysts, Marketers, and Researchers
Evaluating the Ashley Madison search volume study provides key methodological takeaways:
- For Data Analysts: Population-adjusted search data provides an effective baseline for measuring regional curiosity, but requires context to prevent conflating search volume with active platform usage.
- For Digital Marketers: Significant gaps—such as Colorado's 474 searches versus Mississippi's 192—demonstrate how geographic markets vary in organic search interest, informing localized digital ad spend.
- For Consumer Researchers: Digital footprints reveal patterns in public interest, but media coverage and cultural discussions heavily influence search spikes independently of consumer intent.
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