Review Location Docs

Location

GET/location

Generate comprehensive location data with realistic geographic coordinates, detailed address components, timezone information, demographic statistics, climate data, administrative details, economic indicators, and infrastructure information across cities, towns, villages, and metropolitan areas worldwide for mapping, logistics, and location-based application testing.

Create realistic location data for mapping applications, logistics systems, location-based services, and geographic information systems with authentic addresses, coordinates, demographics, climate, economy, and infrastructure details.

Request URL
https://api.datamock.dev/v1/location
Parameters
Quantitynumber

Number of locations to generate (max. 10).

Default : 1

Typeselect

Filter by location type (City, Town, Village, Metropolitan Area).

Default : Random

Climateselect

Filter by climate type (Tropical, Arid, Temperate, Continental, Polar).

Default : Random

Min Populationnumber

Minimum population filter (min. 1,000).

Default : none

Max Populationnumber

Maximum population filter (max. 10,000,000).

Default : none

Seedstring

Seed for deterministic reproducibility.

Excludelist

Exclude specific fields from the response.

JSONExport

Response preview will be displayed here.

Use Generate to request the endpoint with the parameters above.
If you have any problem or suggestion with this endpoint, please contact support@datamock.dev
Endpoint Details

Location Data API - Comprehensive Geographic Information Generator

Build better mapping applications, logistics platforms, and location-based services by testing with realistic, comprehensive location data that includes precise geographic coordinates, complete address components, timezone information, demographic statistics, climate characteristics, administrative structures, economic indicators, and infrastructure details. Each location is generated with coherent relationships ensuring that population sizes match location types, temperatures align with climate zones, infrastructure scales with city size, and all geographic data maintains internal consistency.

Core Geographic Capabilities

  • Complete Address Components: Generate full addresses with street names, districts, cities, states/provinces, postal codes, countries, and country codes following realistic formatting patterns.
  • Precise Coordinates: Accurate latitude/longitude pairs with altitude (meters above sea level) and accuracy measurements for GPS simulation and mapping applications.
  • Timezone Intelligence: Automatic timezone calculation based on longitude with UTC offsets, timezone names, abbreviations, and DST status for time-aware applications.
  • Demographic Data: Realistic population statistics scaled to location type (villages: 1K-10K, towns: 10K-100K, cities: 100K-1M, metropolitan areas: 1M-10M) with population density, median age, and growth rates.
  • Climate Information: Comprehensive climate data including type (Tropical, Arid, Temperate, Continental, Polar), average temperatures, annual rainfall, and current season with values coherent to climate zone.
  • Administrative Structure: Complete administrative hierarchy with regions, districts, municipalities, mayor names (using realistic name databases), and founding dates.
  • Economic Indicators: GDP per capita, main industries (2-4 per location), unemployment rates, and local currency information with realistic values scaled to location size.
  • Infrastructure Details: Airport/seaport/railway availability, public transport systems (Metro, Bus, Tram, etc.), and internet coverage percentages based on location development level.
  • Deterministic & Reproducible: Use seed values to generate identical location datasets across multiple test runs, enabling consistent debugging, validation, and automated testing workflows.

Location Use Cases & Applications

  • Testing mapping applications, navigation systems, and geographic information systems (GIS)
  • Populating logistics platforms, delivery route planners, and fleet management systems
  • Creating realistic location databases for travel apps, booking platforms, and tourism services
  • Testing location-based search, filtering, and recommendation engines
  • Validating address parsing, geocoding, and reverse geocoding systems
  • Building demographic analysis tools, population studies, and urban planning applications
  • Load testing location APIs, geographic databases, and spatial query systems
  • Developing weather applications, climate visualization tools, and environmental monitoring systems
  • Creating real estate platforms, property listings, and location-based marketplaces

Data Coherence & Quality

Location data is intelligently generated to ensure realistic geographic scenarios. Population sizes automatically scale with location type - villages range from 1,000-10,000 residents, towns 10,000-100,000, cities 100,000-1,000,000, and metropolitan areas 1,000,000-10,000,000. Climate temperatures and rainfall amounts match their climate zone - tropical locations have 20-35°C temperatures with 1500-4000mm rainfall, while polar regions show -30 to 10°C with 100-500mm precipitation. Infrastructure availability scales with location size - metropolitan areas have 80% airport probability while villages have only 10%, and public transport options increase from 1-2 types in small towns to 4+ in major cities. Economic indicators like GDP per capita correlate with location development level, ranging from $25,000 in villages to $50,000+ in metropolitan areas. Timezone offsets are calculated from longitude coordinates, and administrative structures (regions, districts, municipalities) use consistent naming patterns. Mayor names are generated from authentic first and last name databases ensuring realistic combinations.

Location | Free Mock Data API Generator | DataMock