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World Apartment Buildings Database 2023 Update

Comprehensive and updated dataset of apartment buildings: explore locations, unique attributes, and popularity insights
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Fresh data 100+ rows Commercial license
Sample data
Name Alternate Names Country Code Region Province Type Latitude Longitude Population Elevation Timezone
Chapman Court Apartments Mardu Apartments US Oregon Multnomah County apartment buildings 45.521410 -122.689210 0 0 America/Los_Angeles
Chesterbury Apartments Chesterbury Hotel US Oregon Multnomah County apartment buildings 45.529330 -122.692800 0 0 America/Los_Angeles
Commodore Apartments Commodore Hotel US Oregon Multnomah County apartment buildings 45.521900 -122.688350 0 0 America/Los_Angeles
Crescent Square Apartments Crescent Square Apartments US Maryland apartment buildings 39.001060 -76.874910 0 50 America/New_York
St. George Plaza Hotel Dorion,Hotel St. George,Temple Hotel US Oregon Umatilla County apartment buildings 45.671010 -118.786080 0 0 America/Los_Angeles
The Lucas Holy Trinity Church,Holy Trinity German Church US Massachusetts Suffolk County apartment buildings 42.345960 -71.065910 0 0 America/New_York
The Victorian Apartments Campbell Hill Hotel US Oregon Multnomah County apartment buildings 45.523640 -122.697600 0 0 America/Los_Angeles
The Westonia Westonia Apartments US Oregon Multnomah County apartment buildings 45.526230 -122.693770 0 0 America/Los_Angeles
Available data formats

What's included in the world Apartment Buildings database

We collect and enrich data on the world apartment buildings and provide you with various metrics you can use for you project
Exact location
Exact location
Region, city, zip code, latitude, longitude etc
Unique
Unique attributes
Elevation, unique features, alternative names etc
Popularity
Popularity
Population, refresh date, related locations, etc
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The world apartment buildings data sources

We curate information from numerous open-source data streams, ensuring comprehensive coverage of the worldapartment buildings. Our team meticulously cleans and refines this data, offering you a streamlined and user-friendly dataset, primed for efficient and accurate use.
Data Source

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the world Apartment Buildings DB - Frequently asked questions

More information about the world apartment buildings dataset and how it works
What does this dataset include?
This dataset provides comprehensive information on apartment buildingsaround the world, detailing their locations, elevation and other unique attributes.
How frequently is the apartment buildings data updated?
We update our apartment buildings dataset annually to ensure current and accurate information.
In which formats is the apartment buildings data available?
The apartment buildings dataset is available in 20 different formats including: CSV, Excel, and GeoJSON for easy integration
Can I use the world apartment buildings data for commercial purposes?
Yes, the apartment buildings dataset is licensed for both personal and commercial use.
How is the world apartment buildings data sourced?
We compile apartment buildings data from verified global sources, ensuring reliability and breadth of coverage.
Do you provide any historical data on apartment buildings?
Currently, our focus is on present-day information, but we are exploring the inclusion of historical apartment buildings data in future updates.
How can I integrate the apartment buildings data into my GIS system?
The GeoJSON apartment buildings dataset format we provide is compatible with most GIS systems, allowing for straightforward integration.
Is there any support if I face issues with the the world apartment buildings dataset?
Absolutely! Our team is here to assist with any challenges or questions you may have about the apartment buildings dataset.
Are there any sample the world apartment buildings data points I can review before purchase?
Yes, please see the sample the world apartment buildings dataset file at the top of this page. Click here.
GET THE WORLD APARTMENT BUILDINGS DATABASE
About us

About us

We collect data from multiple sources to streamline business decision-making. Our mission is to simplify complex geographical datasets, empowering users to make informed decisions with precision and confidence.