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Accurate, daily-updated country-level IP geolocation and IP to Autonomous System (ASN) databases. GeoIP-compatible, open license, free to download and use for any purpose.
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Please explore the provided notebook to learn about the dataset:
🔗 IPinfo IP to Country ASN Demo Notebook for Kaggle
Detailed documentation for the IP to Country ASN database can be found on IPinfo's documentation page. Database samples are also available on IPinfo's GitHub repo.
🔗 Documentation: https://ipinfo.io/developers/ip-to-country-asn-database
| Field Name | Example | Description |
|---|---|---|
start_ip | 194.87.139.0 | The starting IP address of an IP address range |
end_ip | 194.87.139.255 | The ending IP address of an IP address range |
country | NL | The ISO 3166 country code of the location |
country_name | Netherlands | The name of the country |
continent | EU | The continent code of the country |
continent_name | Europe | The name of the continent |
asn | AS1239 | The Autonomous System Number |
as_name | Sprint | The name of the AS (Autonomous System) organization |
as_domain | sprint.net | The official domain or website of the AS organization |
The IPinfo IP to Country ASN database is a subset of IPinfo's IP to Geolocation database and the ASN database.
The database provides daily updates, complete IPv4 and IPv6 coverage, and full accuracy, just like its parent databases. The database is crucial for:
Whether you are running a web service or a server connected to the internet, this enterprise-ready database should be part of your tech stack.
In this dataset, we include 3 files:
country_asn.csv → For reverse IP look-ups and running IP-based analyticscountry_asn.mmdb → For IP address information look-upsips.txt → Sample IP addressesUsing the CSV dataset
As the CSV dataset has a relatively small size (~120 MB), any dataframe and database should be adequate. However, we recommend users not use the CSV file for IP address lookups. For everything else, feel free to explore the CSV file format.
Using the MMDB dataset
The MMDB dataset requires a special third-party library called the MMDB reader library. The MMDB reader library enables you to look up IP addresses at the most efficient speed possible. However, as this is a third-party library, you should install it via pip install in your notebook, which requires an internet connection to be enabled in your notebook settings.
Please see our attached demo notebook for usage examples.
IP to Country ASN provides many diverse solutions, so we encourage and share those ideas with the Kaggle community!
The geolocation data is produced by IPinfo's ProbeNet, a globe-spanning probe network infrastructure with 400+ servers. The ASN data is collected from public datasets like WHOIS, Geofeed etc. The ASN data is later parsed and structured to make it more data-friendly.
See the Data Provenance section below to learn more.
Please note that this Kaggle Dataset is not updated daily. We recommend users download our free IP to Country ASN database from IPinfo's website directly for daily updates.
AS Organization - An AS (Autonomous System) organization is an organization that owns a block or range of IP addresses. These IP addresses are sold to them by the Regional Internet Organizations (RIRs). Even though this AS organization may own an IP address, they sometimes do not operate IP addresses directly and may rent them out to other organizations. You can check out our IP to Company data or ASN database to learn more about them.
ASN - ASN or Autonomous System Number is the unique identifying number assigned to an AS organization.
IP to ASN - Get ASN and AS organizat...
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Discover the booming IP address lookup market! Our in-depth analysis reveals a $250M (2025) market projected to reach $800M by 2033, driven by cybersecurity, location-based services, and IoT growth. Explore key players, market trends, and regional insights.
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The IP address lookup market is experiencing robust growth, driven by the increasing reliance on online services and the expanding digital footprint across various sectors. The market's size in 2025 is estimated at $1.5 billion, projecting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This expansion is fueled by several key factors: the proliferation of connected devices (IoT), the heightened demand for precise geolocation data for cybersecurity and fraud prevention, and the escalating need for personalized online experiences. Furthermore, the growing adoption of cloud-based solutions simplifies deployment and reduces costs, bolstering market growth. The market is segmented by application (SMEs and large enterprises) and type (cloud-based and on-premises). Cloud-based solutions currently dominate due to their scalability and cost-effectiveness, although on-premises deployments remain significant for organizations with stringent data security requirements. Large enterprises currently represent a larger share of the market due to their greater need for comprehensive IP address lookup solutions, but the SME segment is predicted to show faster growth due to increasing digital adoption. Geographic distribution showcases strong growth across North America and Europe, driven by mature digital infrastructures and high adoption rates. However, emerging markets in Asia-Pacific and the Middle East & Africa are anticipated to demonstrate significant growth potential in the coming years due to increasing internet penetration and digital transformation initiatives. Market restraints include concerns surrounding data privacy and regulations like GDPR, which necessitate robust compliance measures. Competition among numerous players, including MaxMind, IP2Location, and IPinfo, is intense, requiring continuous innovation and value-added service offerings to maintain a competitive edge. Despite these challenges, the long-term outlook for the IP address lookup market remains positive, with consistent growth projected throughout the forecast period driven by continuous technological advancements and increasing demand for location-based services. The rise of AI and machine learning will further enhance the accuracy and efficiency of IP address lookup technologies, shaping future market trends.
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Geo Open is an IP address geolocation per country in MMDB format. The database can be used as a replacement for software using the MMDB format. Information about MMDB format: https://maxmind.github.io/MaxMind-DB/ Open source server using Geo Open: https://github.com/adulau/mmdb-server Open source library to read MMDB file: https://github.com/maxmind/MaxMind-DB-Reader-python Historical dataset: https://cra.circl.lu/opendata/geo-open/ The database is automatically generated from public BGP AS announces matching the country code. The precision is at country level.
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The IP address lookup market is experiencing robust growth, driven by the increasing reliance on location-based services, cybersecurity advancements, and the expanding digital footprint across various industries. The market, currently valued at approximately $250 million in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several key factors. Firstly, the rising demand for precise geolocation data for targeted advertising, fraud prevention, and personalized user experiences is a major catalyst. Secondly, the heightened concern regarding data privacy and security necessitates advanced IP address lookup solutions, leading to increased adoption among businesses of all sizes. Finally, the proliferation of IoT devices and the expanding use of cloud-based services further amplify the need for efficient and accurate IP address lookups. The market is segmented by application (SMEs and large enterprises) and by type (cloud-based and on-premises solutions), with cloud-based solutions dominating due to their scalability, cost-effectiveness, and ease of implementation. The competitive landscape features a mix of established players and emerging vendors, each offering diverse solutions to meet varying market demands. While some companies focus on comprehensive databases offering granular location details, others concentrate on providing APIs for seamless integration into existing systems. Regional growth varies, with North America and Europe currently holding a significant market share. However, rapidly developing economies in Asia-Pacific are expected to exhibit accelerated growth in the coming years, driven by increasing internet penetration and digital transformation initiatives. Restraints on market growth include concerns about data accuracy, potential privacy violations, and the emergence of new technologies that may offer alternative approaches to geolocation. Despite these challenges, the overall outlook for the IP address lookup market remains positive, with strong growth anticipated throughout the forecast period.
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TwitterThis IP2Location IP Geolocation LITE database in BIN format provides a solution to determine the country of origin for any IP address for IPv4.
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The IP address lookup market is experiencing robust growth, driven by increasing demand for geolocation services, cybersecurity solutions, and fraud prevention measures across various industries. The market's expansion is fueled by the proliferation of internet-connected devices, the rise of big data analytics, and the growing need for accurate user identification and location tracking. While cloud-based solutions dominate due to scalability and cost-effectiveness, on-premises deployments remain significant for organizations with stringent data security requirements. Large enterprises are major consumers, leveraging IP address lookups for targeted advertising, network security, and compliance purposes. SMEs, however, are increasingly adopting these solutions to improve customer experience and optimize online operations. The market is geographically diverse, with North America and Europe currently leading, but Asia-Pacific is projected to witness significant growth in the coming years due to rapid digitalization and expanding internet penetration. Competition is intense, with a mix of established players and emerging startups offering a range of services, from basic IP geolocation to advanced data intelligence and fraud detection tools. Factors hindering market growth include data privacy concerns, increasing regulatory scrutiny, and the potential for inaccurate or outdated IP data. The forecast period (2025-2033) anticipates continued market expansion, with a projected Compound Annual Growth Rate (CAGR) driving substantial revenue increases. This growth will be fueled by technological advancements in IP geolocation accuracy, integration with other analytical tools, and the emergence of innovative applications within industries like e-commerce, fintech, and advertising. While challenges related to data privacy and accuracy persist, ongoing innovation and industry consolidation are poised to mitigate these risks and drive wider adoption. The market segmentation will likely remain stable, with the continued dominance of cloud-based solutions and strong demand from both large enterprises and SMEs. Regional variations will persist, reflecting differing levels of digital infrastructure and regulatory frameworks across the globe. However, emerging economies in Asia-Pacific are likely to significantly increase their market share throughout the forecast period.
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Accurate, daily-updated country-level IP geolocation database. GeoIP-compatible, open license, free to download and use for any purpose.
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A collection of router interface IP addresses geolocated to the city level. 11,857 IP addressed geolocated based on DNS names and 4,838 IP addresses geolocated based on RTT proximity to RIPE Atlas probes. The DNS-based data was created on May 15, 2016. The RTT-proximity data was created from measurements collected on May 25, 2016. The total number of addresses in the dataset is 16586 (109 addresses found to be common between the two sources of data with very similar locations). Data supplement for paper M. Gharaibeh, A. Shah, B. Huffaker, H. Zhang, R. Ensafi, and C. Papadopoulos, A Look at Router Geolocation in Public and Commercial Databases, Proc. Internet Measurement Conference (IMC), Nov 2017.
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The Electronic Fence Database Service market is booming, projected to reach $471 million by 2025 with a 5.3% CAGR. Driven by IoT adoption and real-time tracking needs across logistics, manufacturing, and agriculture, this market offers lucrative opportunities. Learn about key players, market trends, and regional growth.
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TwitterThis dataset is a database of IPv4 address networks with their respective geographical location.
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The IP Address Lookup market is booming, projected to reach $610 million by 2033 with a 15% CAGR. Driven by cybersecurity, IoT, and location-based services, this in-depth analysis explores market trends, key players (MaxMind, IP2Location), and regional growth. Discover the future of IP geolocation data.
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The IP Address Lookup market is booming, projected to reach $5 billion by 2033 with a 15% CAGR. Driven by cybersecurity, location-based services, and e-commerce, this analysis reveals key trends, market segmentation, and leading companies. Explore the regional breakdown and growth forecasts for this rapidly expanding sector.
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These datasets contain the database of the local television channels in the greater manila area (GMA) in the Philippines as of 2020.
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TwitterThe database is a set of entities and attributes as referenced to individual geographic locations, hereafter referred to as "Point". Each individual Point has a location relative to all other points in the database as referenced to a coordinate grid. The relative location of the points as represented in this database correspond to the physical or determined locations of Survey Control Monumentation.
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The Permanent Base of Equipment (BPE), produced by INSEE, is intended to provide the level of equipment and services provided by a territory to the population.
This dataset counts retail facilities at municipal level (Paris district and municipality).
List of variables:
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It is about updating to GIS information database, Decision Support Tool (DST) in collaboration with IWMI. With the support of the Fish for Livelihoods field team and IPs (MFF, BRAC Myanmar, PACT Myanmar, and KMSS) staff, collection of Global Positioning System GPS location data for year-1 (2019-20) 1,167 SSA farmer ponds, and year-2 (2020-21) 1,485 SSA farmer ponds were completed with different GPS mobile applications: My GPS Coordinates, GPS Status & Toolbox, GPS Essentials, Smart GPS Coordinates Locator and GPS Coordinates. The Soil and Water Assessment Tool (SWAT) model that integrates climate change analysis with water availability will provide an important tool informing decisions on scaling pond adoption. It can also contribute to a Decision Support Tool to better target pond scaling. GIS Data also contribute to identify the location point of the F4L SSA farmers ponds on the Myanmar Map by fiscal year from 1 to 5.
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This point layer is a refined geolocation of INSEE's Sirene® database enriched by OpenDataSoft. The Sirene® database is the provider of company and establishment identity data. It is part of the reference data of the Public Data Service set up by law for a Digital Republic. OpenDataSoft performs a first geolocation and adds nomenclature labels. Rennes Métropole corrects and/or refines the geolocation and the literal address by relying on Rennes Métropole's Routes and Addresses Reference Framework (RVA). Rennes Métropole finally cross-references with other local data for successful enrichment.
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Accurate, daily-updated country-level IP geolocation and IP to Autonomous System (ASN) databases. GeoIP-compatible, open license, free to download and use for any purpose.