World Equivalent Names

Overview

Global Empirical Name Equivalents Registry: Geographic Variant Database

Standard algorithmic name matching frequently fails because it relies on rigid, theoretical rules rather than how names evolve in the real world. Our Global Empirical Name Equivalents Registry bridges this gap by indexing actual orthographic and phonetic variations based on documented real-world usage across highly specific geographic zones.

Engineered for localized precision, this dataset maps the real-world mutations, colloquial shifts, and script-transcription behaviors unique to target regions. It provides global enterprise software, risk-compliance engines, and identity management systems with the exact data infrastructure required to resolve cross-border identities with flawless regional context. Other potential applications include:


- Combating the Financing of Terrorism
- Culture-sensitive CRM applications
- Compliance and Governance
- Customer Data Management
- Employment Diversity
- Ethnic-based marketing campaigns
- Fraud Detection
- Entity Matching
- Identity Resolution
- Immigration Control
- Intelligence Analysis
- Name Screening
- KYC and Due Diligence
- Law Enforcement
- Name Screening
- PEP and sanctions screening
- Voters list correction

Technical Specifications

1. Geographically Anchor Data Architecture

  • Empirical Usage Mapping: Contains millions of verified orthographic and phonetic variations based strictly on real-world document registries and field-tested usage.
  • Geographic Stratification: Every name variation is tagged with specific geographic metadata, linking spelling preferences to exact countries, sub-regions, or cultural corridors.
  • Master Script Parallelization: Maps colloquial and regional Latinized variations directly back to their native, localized script equivalents (e.g., Arabic, Cyrillic, Indic).

2. Advanced Phonetic & Orthographic Intelligence

  • Dialectal Drift Processing: Identifies and links variants that emerge from regional vocalization patterns, ensuring colloquial adaptations are caught by text-matching systems.
  • Bilingual Data Validation: Features fully vocalized and unvocalized reference standards to ensure flawless downstream tokenization in text-parsing tools.
  • Fuzzy Engine Optimization: Designed to seamlessly replace or augment standard rule-based algorithms with real-world, deterministic matching tables to minimize search missed-hits.

3. Primary High-Impact Applications

  • Hyper-Localized KYC & Compliance: Empowers compliance platforms to filter out regional noise and target variations used within specific geographies, preventing false matches.
  • SaaS Enterprise Search & Indexing: Maximizes search engine retrieval rates by natively indexing names exactly how local populations spell them in everyday travel documents and forms.
  • Data Harmonization & MDM: Cleans, matches, and deduplicates multi-national user registries by grouping regional spelling mutations under a single, globally mapped master identity record.

Sample downloads:

Reference: DBEQ

Entries: 300,000+

Last updated: 11/6/2026

Field Definitions

VID: name variant ID
Variant: name in basic Latin script
Native: name variant in native writing script
Gender: M: male, F: female, U: unisex
Type: C: common, F: first/given name, L: last name/surname
Language: variant original language
Locale: country of origin, ISO country code

Sample
ID VID Variant Native Gender Type Language Locale
1 N0001 Abraham M F English GBR
2 N0001 Avram M F Serbian Serbia
3 N0002 Andre André M F French France
4 N0002 Andrea M F Bulgarian Bulgaria
5 N0002 Andreas M F Danish Denmark
6 N0002 Andries M F Dutch Netherland
7 N0002 Andrija M F Serbian Serbia
8 N0003 Anthony M F English GBR
9 N0003 Antoaneta F F Bulgaria Bulgaria
10 N0003 Antoine M F French France
11 N0003 Anton M F German Austria
12 N0003 Antonella F F Italian Italy
13 N0003 Antonello M F Italian Italy
14 N0003 Antonina F F Polish Poland
15 N0003 Antonino M F Italian Italy
16 N0003 Antonio M F Italian Italy
17 N0004 Elisabeth F F English
18 N0004 Lisbeth F F Danish Denmark
19 N0004 Elisaveta F F Bulgarian Bulgaria
20 N0004 Elizabeth F F English GBR
21 N0005 Christian M F Danish Denmark
22 N0005 Christiane M F German Austria
23 N0005 Christina F F Bulgarian Bulgaria
24 N0005 Christo M F Bulgarian Bulgaria
25 N0005 Kristijan M F Serbian Serbia
26 N0005 Cristina F F Dutch Netherland
27 N0005 Hristo M F Bulgarian Bulgaria
28 N0005 Khristo M F Bulgarian Bulgaria
29 N0006 Vilhelm M F Danish Denmark
30 N0006 Willem M F Dutch Netherland
31 N0006 William M F English GBR
32 N0007 Josefina F F Spanish Spain
33 N0007 Joseph M F German Austria
34 N0007 Giuseppe M F Italian Italy
35 N0008 George M F English
36 N0008 Georges M F French France
37 N0008 Georgi M F Bulgarian Bulgaria
38 N0008 Giorgia F F Italian Italy
39 N0008 Giorgio M F Italian Italy
40 N0008 Gregorio M F Spanish Spain
41 N0008 Jorge M F Spanish Spain
42 N0008 Dorde Đorđe M F Serbian Serbia
43 N0009 Johnson M L English GBR
44 N0009 Johnston M L
45 N0009 Jonassen M L Danish Denmark
46 N0010 Willemsz M L Polish Poland
47 N0010 Williams M L English GBR
48 N0011 Jacobowitz M L Polish Poland
49 N0011 Jacobsen M L Danish Denmark
50 N0011 Jacobson M L Irish Ireland