This data comes from the CFPB Consumer Complaint Database and reflects consumer complaints, not proven violations.

CFPB complaint data Grade F 67 complaints

Data Search NY, Inc. - Debt Collector Complaint Profile

CFPB complaint profile across 22 states, reputation grade F.

Complaints by issue type

What consumers report about Data Search NY, Inc.

complaints
Source CFPB Consumer Complaint Database

Data updated September 2026

CFPB complaint disposition

CCDB record data-search-ny-inc Data Search NY, Inc.

Grade F · 67 CFPB filings · 95% timely · lead issue: Attempts to collect debt not owed · vol #1022 · compose #4811

  • VOL 67
  • GRADE F
  • 12MO 9
  • STATES 22
  • TIMELY 95%
  • DISPUTE 75%
  • ISSUE Attempts to collect debt n…
  • RANK #1,022
  • COMPOSE #4,811

Nearest volume peer: Armcon Corp (67 complaints)

Armcon Corp67Clear Recovery, Inc.67Future Judgement Solutions67Genesis Credit Management, L…67Data Search NY, Inc. (this)67
CFPB complaint volume neighbourhood (this collector + nearest volume peers)

Data Search NY, Inc.'s 67 CFPB complaints sit next to Armcon Corp on the volume neighbourhood; peer NAMES stay, and disposition VALUES are this collector's. Grades compare collectors to each other - a complaint is a filing, not a proven violation. How to read a complaint count →

Filing geometry

Texas is the plurality state for Data Search NY, Inc. (16.4%)

Volume rank #1,022 and composite rank #4,811 diverge by 3,789 places on PlainCollector's CFPB-derived corpus maps. Corpus placement method.

Plurality state
Texas 16.4%
Mid-band (15–30%) · 22 states with ≥1 filing
Seasonal peak
2013-11 9.3%
8–15% band · 4 filings
Divergent corpus ranks
#1,022 volume
#4,811 composite
Cleanest-composite ladder is 3,789 places worse than volume

How does Data Search NY, Inc. compare to its peers?

How does Data Search NY, Inc. compare? Versus a similar-volume peer and the national average (collectors with ≥50 total complaints), drawn from 10 collectors with a comparable complaint count
Data Search NY, Inc. National average
Complaints (last 12 mo)lower is better
9
3
268
Timely-response ratehigher is better
95%
95%
91%
Consumer-dispute ratelower is better
75%
14%
19%

Source: CFPB Consumer Complaint Database.

Complaint Trend (24 months)

2013-11 2022-03

Issue Detail Breakdown

Issue Complaints
Attempts to collect debt not owed 22
Written notification about debt 19
Took or threatened to take negative or legal action 7
False statements or representation 6
Disclosure verification of debt 4
Communication tactics 3
Threatened to contact someone or share information improperly 3
Cont'd attempts collect debt not owed 2
Improper contact or sharing of info 1

Where do complaints against Data Search NY, Inc. come from?

Data Search NY, Inc.'s own per-state count, not a national baseline.

Top states by complaints against Data Search NY, Inc.

Across 22 states with at least one filing

complaints
Source CFPB Consumer Complaint Database

Compare beyond geography

Nationwide peers by volume & timely response

Two PlainCollector-derived comparison paths for Data Search NY, Inc.: nearest all-time CFPB complaint volume and nearest CFPB timely-response rate among collectors with at least 100 logged complaints. State breakdowns above stay geographic; these neighborhoods vary by metric.

Know your rights before responding to Data Search NY, Inc.: FDCPA rights guide · debt validation letter · rights library.

Data sourced from the CFPB Consumer Complaint Database. See our methodology for details. Retrieved and formatted by PlainCollector

According to the Consumer Financial Protection Bureau's Consumer Complaint Database, 1,139,236 debt collection complaints are represented in the current PlainCollector snapshot. See our methodology for how PlainCollector computes each company's reputation grade from this data.

Every figure on PlainCollector is rendered directly from federal source data, no number is typed in by an editor. This page draws directly on federal source data, no figure is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error.