IP2Location™ LITE IP-COUNTRY-REGION-CITY-LATITUDE-LONGITUDE-ZIPCODE Database

Introduction

IP2Location LITE Database

This database provides a solution to determine the country, region or state, city, latitude, longitude, and ZIP code of origin for any IP address in a few simple steps. First, retrieve the IP address from the networking protocol or server-side variable of the Web server. Next, translate the IP address to an IP number in decimal format to speed up the database query. Lastly, reverse lookup the IP number from the IP2Location™ database to pinpoint the exact geographical location.

It is free for personal or commercial use with attribution required by mentioning the use of this data as follows,

Please get the commercial edition if you are looking for high data accuracy, more records & customer support. Please visit product comparison page for more information.

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Features

Translates IP address to country, region or state, city, latitude and longitude, and US ZIP code.

Current Version November 2024
Next Update December 2024
IPv4 Database Size BIN: 82.93 MB
CSV: 310.31 MB (3,042,203 Rows)
IPv6 Database Size BIN: 167.94 MB
CSV: 687.38 MB (5,253,524 Rows)
Database Format Binary (BIN)
ASCII Text File (CSV)

Database Fields

Name Type Description
ip_from INT (10) / DECIMAL (39,0)†† First IP address show netblock.
ip_to INT (10) / DECIMAL (39,0)†† Last IP address show netblock.
country_code CHAR(2) Two-character country code based on ISO 3166.
country_name VARCHAR(64) Country name based on ISO 3166.
region_name VARCHAR(128) Region or state name.
city_name VARCHAR(128) City name.
latitude DOUBLE††† City latitude. Default to capital city latitude if city is unknown.
longitude DOUBLE††† City longitude. Default to capital city longitude if city is unknown.
zip_code VARCHAR(30) ZIP/Postal code.

IPv4
†† IPv6
††† Latitude and Longitude are often near the center of population. These values are not precise and should not be used to identify a particular address or household.

Database Setup

Below are the steps to set up the database for both IPv4 and IPv6 data.

Create Database
CREATE DATABASE ip2location;
USE ip2location;
CREATE TABLE `ip2location_db9`(
	`ip_from` INT(10) UNSIGNED,
	`ip_to` INT(10) UNSIGNED,
	`country_code` CHAR(2),
	`country_name` VARCHAR(64),
	`region_name` VARCHAR(128),
	`city_name` VARCHAR(128),
	`latitude` DOUBLE,
	`longitude` DOUBLE,
	`zip_code` VARCHAR(30),
	PRIMARY KEY (`ip_to`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8 COLLATE=utf8_bin;
Import Database
LOAD DATA LOCAL
	INFILE 'IP2LOCATION-LITE-DB9.CSV'
INTO TABLE
	`ip2location_db9`
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n'
IGNORE 0 LINES;
Create Database
CREATE DATABASE ip2location
GO

USE ip2location
GO

CREATE TABLE [ip2location].[dbo].[ip2location_db9](
	[ip_from] bigint NOT NULL,
	[ip_to] bigint NOT NULL,
	[country_code] nvarchar(2) NOT NULL,
	[country_name] nvarchar(64) NOT NULL,
	[region_name] nvarchar(128) NOT NULL,
	[city_name] nvarchar(128) NOT NULL,
	[latitude] float NOT NULL,
	[longitude] float NOT NULL,
	[zip_code] nvarchar(30) NOT NULL
) ON [PRIMARY]
GO

CREATE CLUSTERED INDEX [ip_to] ON [ip2location].[dbo].[ip2location_db9]([ip_to]) ON [PRIMARY]
GO
Import Database
BULK INSERT [ip2location].[dbo].[ip2location_db9]
FROM '{PATH TO IP2LOCATION-LITE-DB9.CSV}'
WITH
(
	FORMATFILE = '{PATH TO DB9.FMT}'
)
GO

NOTE: You will need to copy the FMT code below and save it as a file named DB9.FMT on your computer.

12.0
10
1 SQLCHAR 0 1 "\"" 0 first_double_quote  Latin1_General_CI_AI
2 SQLCHAR 0 20 "\",\"" 1 ip_from "",
3 SQLCHAR 0 20 "\",\"" 2 ip_to "",
4 SQLCHAR 0 2 "\",\"" 3 country_code Latin1_General_CI_AI,
5 SQLCHAR 0 64 "\",\"" 4 country_name Latin1_General_CI_AI,
6 SQLCHAR 0 128 "\",\"" 5 region_name Latin1_General_CI_AI,
7 SQLCHAR 0 128 "\",\"" 6 city_name Latin1_General_CI_AI,
8 SQLCHAR 0 20 "\",\"" 7 latitude "",
9 SQLCHAR 0 20 "\",\"" 8 longitude "",
10 SQLCHAR 0 30 "\",\"" 9 zip_code Latin1_General_CI_AI

Create Database
CREATE DATABASE ip2location WITH ENCODING 'UTF8';
\c ip2location
CREATE TABLE ip2location_db9(
	ip_from bigint NOT NULL,
	ip_to bigint NOT NULL,
	country_code character(2) NOT NULL,
	country_name character varying(64) NOT NULL,
	region_name character varying(128) NOT NULL,
	city_name character varying(128) NOT NULL,
	latitude real NOT NULL,
	longitude real NOT NULL,
	zip_code character varying(30) NOT NULL,
	CONSTRAINT ip2location_db1_pkey PRIMARY KEY (ip_from, ip_to)
);
Import Database
COPY ip2location_db9 FROM 'IP2LOCATION-LITE-DB9.CSV' WITH CSV QUOTE AS '"';
Import Database
mongoimport -u USERNAME -p PASSWORD --authenticationDatabase admin --drop --db ip2location --collection ip2location_db9 --type csv --file "IP2LOCATION-LITE-DB9.CSV" --fields ip_from,ip_to,country_code,country_name,region_name,city_name,latitude,longitude,zip_code
Create Database
CREATE DATABASE ip2location;
USE ip2location;
CREATE TABLE `ip2location_db9_ipv6`(
	`ip_from` DECIMAL(39,0) UNSIGNED,
	`ip_to` DECIMAL(39,0) UNSIGNED,
	`country_code` CHAR(2),
	`country_name` VARCHAR(64),
	`region_name` VARCHAR(128),
	`city_name` VARCHAR(128),
	`latitude` DOUBLE,
	`longitude` DOUBLE,
	`zip_code` VARCHAR(30),
	PRIMARY KEY (`ip_to`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8 COLLATE=utf8_bin;
Import Database
LOAD DATA LOCAL
	INFILE 'IP2LOCATION-LITE-DB9.IPV6.CSV'
INTO TABLE
	`ip2location_db9_ipv6`
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n'
IGNORE 0 LINES;
Create Database
CREATE DATABASE ip2location
GO

USE ip2location
GO

CREATE TABLE [ip2location].[dbo].[ip2location_db9_ipv6](
	[ip_from] char(39) NOT NULL,
	[ip_to] char(39) NOT NULL,
	[country_code] nvarchar(2) NOT NULL,
	[country_name] nvarchar(64) NOT NULL,
	[region_name] nvarchar(128) NOT NULL,
	[city_name] nvarchar(128) NOT NULL,
	[latitude] float NOT NULL,
	[longitude] float NOT NULL,
	[zip_code] nvarchar(30) NOT NULL
) ON [PRIMARY]
GO

CREATE CLUSTERED INDEX [ip_to] ON [ip2location].[dbo].[ip2location_db9_ipv6]([ip_to]) ON [PRIMARY]
GO
Import Database
BULK INSERT [ip2location].[dbo].[ip2location_db9_ipv6]
FROM '{PATH TO IP2LOCATION-LITE-DB9.IPV6.CSV}'
WITH
(
	FORMATFILE = '{PATH TO DB9.FMT}'
)
GO

NOTE: You will need to copy the FMT code below and save it as a file named DB9.FMT on your computer. The first line of the FMT code indicates the version of bcp. Please change the version as according to your MS-SQL installed.

12.0
10
1 SQLCHAR 0 1 "\"" 0 first_double_quote  Latin1_General_CI_AI
2 SQLCHAR 0 39 "\",\"" 1 ip_from "",
3 SQLCHAR 0 39 "\",\"" 2 ip_to "",
4 SQLCHAR 0 2 "\",\"" 3 country_code Latin1_General_CI_AI,
5 SQLCHAR 0 64 "\",\"" 4 country_name Latin1_General_CI_AI,
6 SQLCHAR 0 128 "\",\"" 5 region_name Latin1_General_CI_AI,
7 SQLCHAR 0 128 "\",\"" 6 city_name Latin1_General_CI_AI,
8 SQLCHAR 0 20 "\",\"" 7 latitude "",
9 SQLCHAR 0 20 "\",\"" 8 longitude "",
10 SQLCHAR 0 30 "\",\"" 9 zip_code Latin1_General_CI_AI

Create Database
CREATE DATABASE ip2location WITH ENCODING 'UTF8';
\c ip2location
CREATE TABLE ip2location_db9_ipv6(
	ip_from decimal(39,0) NOT NULL,
	ip_to decimal(39,0) NOT NULL,
	country_code character(2) NOT NULL,
	country_name character varying(64) NOT NULL,
	region_name character varying(128) NOT NULL,
	city_name character varying(128) NOT NULL,
	latitude real NOT NULL,
	longitude real NOT NULL,
	zip_code character varying(30) NOT NULL,
	CONSTRAINT ip2location_db1_pkey PRIMARY KEY (ip_from, ip_to)
);
Import Database
COPY ip2location_db9_ipv6 FROM 'IP2LOCATION-LITE-DB9.IPV6.CSV' WITH CSV QUOTE AS '"';
Import Database
mongoimport -u USERNAME -p PASSWORD --authenticationDatabase admin --drop --db ip2location --collection ip2location_db9_ipv6 --type csv --file "IP2LOCATION-LITE-DB9.IPV6.CSV" --fields ip_from,ip_to,country_code,country_name,region_name,city_name,latitude,longitude,zip_code

AMI & Images

IP2Location provides a free, pre-configured & ready-to-run AMI and images to easily set up the database.

License

Please review the General Terms and Conditions for the database licensing.

IP2Location™ IP Address Geolocation Database

In Commercial Edition, you'll get much more than just IP address lookup:

  • Better data accuracy
  • Access to up-to-date database
  • Additional level of support via email
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