Namsor

Country of residence – Find location and nationality from a name

Powered by advanced morphological analysis, Namsor's AI identifies where a person actually lives, applying scientific methodologies to last names, first names or full names.

Looking for a name nationality finder? In practice, most use cases need country of residence. Nationality is a legal status often disconnected from where someone lives, while residence reflects real-world location. Namsor delivers that signal with research-backed accuracy, trained on billions of names from global academic databases.

Find the residence country with our advanced tool

Analyse a first name, surname or full name to identify a person's country of residence.

Slightly more accurate with separate names.

Country of residence: first & last name

Ideal feature for estimating the country of residence from a split name:
Returns religious statistics for estimated countries of residence.

First name, given name, nickname.

Last name, family name, surname.

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Understanding the meaning of the returned values

Use our name location finder through an API or our simple interface. You'll be able to estimate an individual's country of residence. Here's how it works:

  • Geographic residence region indicator

    Region & Sub-region of residence Highlights the most probable geographical area where the individual lives.

  • Writing system indicator

    Script (Latin, Cyrillic, etc.) Identifies the writing system used, helping determine linguistic and cultural roots.

  • Country of residence indicator

    Country of residence (ISO 3166-1 alpha-2) Identifies the primary country of residence associated with the name.

  • Confidence level indicator

    Calibrated probability (Between 0% and 100%) Reflects how confident the system is in its top country-of-residence prediction. For example, a 92% rating implies very high certainty.

  • Alternative country residence indicator

    Alternative country of residence (ISO 3166-1 alpha-2) Shows the second most likely country of residence.

  • Alternative probability indicator

    Alt. Calibrated probability (Between 0% and 100%) Measures the overall likelihood that the name corresponds to either the primary or secondary country. It runs higher than the standard probability because it covers multiple possibilities.

Why identify country of residence rather than nationality?

The country of residence is the country where a person has lived for the majority of the last 12 months. Tourists are not defined as residents of a country.

Nationality is a legal link between a person and a country. It usually provides rights, duties, and protections under the country's laws.

While many users search for 'what nationality is this name' or rely on 'AI nationality prediction tools', it's important to remember that nationality is a legal status which can be detached from where someone actually lives. Estimating the country of residence from a name provides deeper and more accurate insights, as it reflects real-world data about where individuals reside and engage in their daily activities.

Traditional name-based nationality estimation often relies on limited or outdated datasets. In contrast, advanced onomastic analysis—the study of names and their origins—examines global morphological and onomastic patterns (the structure and geographical distribution of names). This approach focuses on where names are actually used today rather than their historical origins, leading to better precision in determining current residence patterns.

By analyzing contemporary name usage patterns across different regions, this method provides more reliable insights into where people with specific names are likely to live, rather than simply guessing their legal citizenship status.

How does our name location guesser work

At Namsor, we've developed AI-driven tools that pinpoint a person's likely country of residence through large-scale data and advanced onomastic analysis. Every step of our process is carefully designed to optimize accuracy and flexibility.

  1. Data collection icon
    1

    Extensive data gathering and preparation

  2. AI model training icon
    2

    Onomastic model training for location insights

  3. Model validation icon
    3

    Rigorous model evaluation and validation

  4. Continuous learning icon
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    Continuous updates and cultural adaptation

Additional origin taxonomies

  • The earth with a location sign over South America.

    Origin

    Origin is a taxonomy that categorizes a person's origin based on their own, their parents', or their ancestors' country of origin.

    Find name origin
  • A group of people of different ethnicities in front of a map of the earth.

    Ethnicity

    The diaspora categorizes people by shared cultural, national, or linguistic backgrounds rather than geography.

    Guess name ethnicity
  • A group of people of different race/ethnicities in front of a map of the United States.

    U.S. race/ethnicity

    The U.S. Census classifies race and ethnicity into six categories based on social and cultural traits.

    Estimate U.S. race/ethnicity

Integrate our tools in your project

Discover the most likely country of residence behind a name using our name location finder. Here are three ways to get started with country of residence analysis:

A group of people from different backgrounds processing an Excel file using software.

CSV and Excel Tool

Analyze your spreadsheets using our CSV and Excel solution by uploading your file and selecting the relevant settings.

Our tool will identify the country of residence linked to each first name, last name, or full name in your dataset.

Process a CSV or Excel file
Two people interacting with computer servers.

API Documentation

For larger or dynamic projects, our API integrates with your existing systems to automatically analyze names and provide likely residence locations.

This approach focuses on actual residence rather than legal nationality. Comprehensive documentation and code samples in Python, JavaScript, Java, and Shell facilitate seamless integration.

Explore the API Documentation
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Developer Tools

Access advanced country of residence analysis using our SDKs and CLI options for Python, Java, GoLang, and JavaScript.

These tools offer advanced onomastic and linguistic features to provide precise location insights for projects of all sizes.

Download Developer Tools

Frequently asked questions about country of residence

What is the difference between country of residence and nationality in name analysis?

Nationality is a legal status. Country of residence is where someone actually lives. Namsor infers country of residence, not nationality, because residence is more useful and more reliably predicted from a name.

Nationality is a legal concept, not a geographic one

Nationality is determined by citizenship laws (birth, descent, naturalization). It doesn't change when you move. A person can hold French nationality and live in Dubai, or hold Nigerian nationality and live in London. Some people hold dual or triple nationality. Others are stateless. Nationality says nothing reliable about where someone is right now, nor where their family originally comes from.

Consider a person of Indian origin who holds British nationality and lives in France. These are three distinct facts about the same individual: where their family comes from (India), their legal citizenship (UK), and where they actually live (France). Add a fourth dimension: this person is part of the Indian diaspora and/or the British diaspora in France. No single label captures this complexity, which is why Namsor offers separate features for each dimension.

Country of residence is a geographic fact

Country of residence reflects where a person has lived for the majority of the past 12 months. It changes when they relocate. It determines which laws apply to them, which language they likely use day-to-day, which timezone they operate in, and which market they belong to.

Namsor continuously tracks global population movements and migration patterns to keep its residence model up to date. This means the predictions reflect current demographic realities, not a static snapshot. When large-scale migration events occur, the model adapts, ensuring that clients always receive accurate and timely residence estimates.

Why no API can reliably predict nationality

Names carry geographic and cultural signals that correlate with where people live and where their families come from, not with their legal citizenship. A name analysis model can estimate that "Yuki Tanaka" most likely resides in Japan, or that "Patrick O'Brien" most likely resides in Ireland or the US. But it cannot determine whether "Yuki Tanaka" holds Japanese nationality, US nationality or both. A naturalized citizen, a dual citizen and a stateless person can all share the same name.

Labeling name-based inference as "nationality detection" is a common but misleading practice. What a name reveals is a cultural origin or an ethnicity, never a legal citizenship. Conflating these concepts creates confusion and can lead to incorrect assumptions in compliance, analytics or decision-making workflows.

Namsor avoids this confusion by using precise, separate taxonomies for each dimension: Origin (131 countries), Ethnicity (139 cultural groups), Country of Residence (247 countries) and US Race (6 Census categories). Each answers a different question, with a dedicated model optimized for that specific classification.

Why residence matters more for most use cases

  • Compliance and routing: you need to know where someone is, not their passport
  • Localization: language, currency, timezone depend on where someone lives
  • Marketing: market segmentation is based on geography, not citizenship
  • Data enrichment: filling a "country" field in a CRM means where the contact is, not their legal status

Coverage

Namsor's Country of Residence feature covers 247 countries and territories, the most complete geographic coverage across all Namsor features.

How does Namsor infer country of residence from a name?

Namsor uses predictive AI models trained on billions of names to estimate where a person most likely lives based on their name alone.

Current distribution, not historical origin

Unlike Origin, which identifies where a family historically comes from, Country of Residence estimates where a person is right now. The model learns the current statistical distribution of names across 247 countries and territories, not just their historical origins.

For example, the name "Nguyen" is historically Vietnamese (Origin returns VN). But millions of people named Nguyen now live in the United States, France and Australia. The residence model knows this and weighs current population distribution accordingly.

A model that evolves with migration

Namsor continuously updates its residence model by tracking global population movements and migration patterns. When demographic shifts occur, the model adapts so that predictions reflect where people actually live today, not a static historical snapshot.

Input and output

The feature takes a name as input with no country code required, since the goal is to infer the country. It returns a ranked list of probable countries with confidence scores, covering 247 countries and territories.

Combining with other features

Country of Residence can be combined with other Namsor features for richer analysis. The Names Corridor feature analyzes the interaction between two names to infer cross-border dynamics, such as sender and receiver countries in international transactions.