Global Location Data | 312+ Million Locations

#	dataplor_id	parent_location	name	main_category	sub_category	sub_sub_category	business_category	naics_code	sic_code	chain_id	chain_name	store_number	stock_ticker	phone	address	address2	neighborhood	city	state	postal_code	country_code	country	latitude	longitude	dataplor_status	data_quality_confidence_score	open_closed_status	open_closed_status_confidence_score	opened_on	closed_on
1	xxxxxxxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxx	Xxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxx	xxxxx	xxxxxxxx	xxxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxx
2	xxxxxx	Xxxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxx	xxxxxx	xxxxxxx	xxxxxxx	Xxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	xxxxxx	Xxxxxxxx	Xxxxxxx	Xxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxxxx	xxxxxxxx	Xxxxxxxxxx	Xxxxxxxx
3	Xxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	xxxxx	xxxxxxx	xxxxxxxxx	Xxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxxxxx	xxxxxxxxx	Xxxxx	xxxxxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxx	Xxxxxxx	xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxx	xxxxxx	Xxxxxxxxx	xxxxx
4	Xxxxxxxxxx	xxxxxx	xxxxx	xxxxxxxx	Xxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxx	xxxxx	xxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxx	Xxxxxxxx	Xxxxxxx	xxxxx	xxxxxxxx	xxxxxxxxxx	Xxxxxx	xxxxxxxxx	Xxxxx	xxxxx
5	xxxxxxxxx	xxxxxxx	Xxxxxxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxx	xxxxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxxx	Xxxxxxxx	xxxxxxxx	xxxxxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	Xxxxx	Xxxxxx
6	Xxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxx	Xxxxxxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxx	xxxxx	Xxxxxx	xxxxxxxxx	xxxxxxx	xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxx	Xxxxx	Xxxxxxxxx	xxxxxxxxxx	xxxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxx	Xxxxxxxxxx	Xxxxxxxxxx	Xxxxxxxx
7	Xxxxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxxxxxx	Xxxxxxxx	xxxxxxxxxx	xxxxxxx	Xxxxxxxx	xxxxx	Xxxxxx	xxxxxx	xxxxxxxx	xxxxxxx	Xxxxx	Xxxxxxxxx	Xxxxx	Xxxxxxx	Xxxxxxxx	xxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxx	xxxxxxxxx	xxxxxxx	xxxxxxxxxx	xxxxxx	xxxxx	Xxxxxxxxxx
8	Xxxxxxxxx	xxxxxxx	Xxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxx	xxxxxxxx	Xxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxx	Xxxxx	xxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	xxxxxxx	Xxxxxxxx	xxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxx	Xxxxxxxx	Xxxxxxx	xxxxx	xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxxxxx	xxxxxxx
9	Xxxxx	xxxxxxxxx	xxxxxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxx	Xxxxxxxxxx	Xxxxxxx	Xxxxxx	Xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxx	Xxxxx	Xxxxx	Xxxxxxx	xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxx	xxxxxx	xxxxxxxxxx	xxxxxxxxxx	Xxxxxxx	xxxxxxxxx	Xxxxx
10	xxxxxxx	Xxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	Xxxxxxxxx	Xxxxxxxx	xxxxxxxxx	Xxxxxxx	Xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxxxx	Xxxxxxx	Xxxxxxx	xxxxxxxx	xxxxx	Xxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxxxxxx	Xxxxxxx	Xxxxxxx	Xxxxxxx	Xxxxxxx
...	xxxxxxx	Xxxxxxxxxx	xxxxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxx	xxxxxxxx	Xxxxxxxx	xxxxxx	xxxxxxxx	xxxxxx	Xxxxxxxx	xxxxxxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxxxx	Xxxxxxx	xxxxxxxx	Xxxxxxx	Xxxxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	xxxxxxx	Xxxxxxxxx	xxxxxxxxx	xxxxxxxx	xxxxxxxxx	xxxxx	Xxxxx

Volume

3.3B

Observations

Avail. Formats

.bin, .json, and .xml

File

Coverage

249

Countries

History

years

[Sample] dataplor_worldwide_Created_Feb_26_2024.csv

Attribute	Type	Example	Mapping
dataplor_id	String	8b9f6af4-ea92-4cd5-947d-55f0daaf458d	POI ID
parent_location	String
name	String	Dollar General	POI Name
main_category	String	retail	POI Category
sub_category	String		POI Sub-category
sub_sub_category	String		POI Sub-category
business_category	String	dollar_store	Product Category
naics_code	Float	455219	Company NAICS Code
sic_code	Float	0279	Company SIC Code
chain_id	String	dollar_general	Brand ID
chain_name	String	Dollar General	Brand Name
store_number	String		Location ID
stock_ticker	String	NYSE:DG	Stock Ticker
phone	String	###########	Phone Number
address	String	#### **-##	Address
address2	String	# ****** , *****, #####, ***	Address
neighborhood	String	Nob Hill	Neighborhood Name
city	String	Fort Recovery	City Name
state	String	Ohio	State Name
postal_code	String	45846	Postal Code
country_code	String	us	Country Code Alpha-2
country	String	United States of America (the)	Country Name
latitude	Float	40.40397575	Latitude
longitude	Float	-84.77403351	Longitude
dataplor_status	String	active
data_quality_confidence_score	Float	0.936681220765049
open_closed_status	String	open
open_closed_status_confidence_score	Float	0.95
opened_on	String	2017-01-01T00:00:00+00:00	POI Opening Hours
closed_on	String		POI Opening Hours

Product Attributes

Attribute	Type	Example	Mapping
dataplor_id	String	9fbf6902-3259-43e0-b84d-c802b1940899	POI ID
parent_location	String
name	String		POI Name
main category	String		POI Category
sub_category	String		POI Sub-category
sub_sub_category	String		POI Sub-category
business_category	String	Electronics	Product Category
chain_id	String	12456789	Brand ID
chain_name	String	Coca Cola	Brand Name
store_number	String		Location ID
stock_ticker	String	AAPL	Stock Ticker
phone	String	+# (###) ####-####	POI Telephone
address	String	# ****** , *****, #####, ***	Address
address2	String	# ****** , *****, #####, ***	Address
neighborhood	String	Nob Hill	Neighborhood Name
city	String	Berlin	City Name
state	String	California	State Name
postal_code	String	10119	Postal Code
country_code	String	US	Country Code Alpha-2
country	String	United States of America	Country Name
latitude	Float	40.786342970476895	Latitude
longitude	Float	-119.2065156609571	Longitude
dataplor_status	String
data_quality_confidence_score	String
opened_on	String		POI Opening Hours
closed_on	String		POI Opening Hours
naics_code	String	518210	Company NAICS Code
SIC code	String	0279	Company SIC Code
open_closed_status	String
open_closed_status_confidence_score	Float

dataplor's Global Location dataset covers 312+ million locations across 250 countries and territories, making it one of the most comprehensive location datasets available. This dataset is particularly valued for its ability to provide updates in real-time and weekly increments.

Location includes a wealth of point-of-interest information, complete with detailed metadata. This helps businesses in various industries—from retail and logistics to fintech and quick-service restaurants—to make data-driven decisions. dataplor’s POI data offers a rich set of 50+ attributes that provide in-depth insights into each location. Key data attributes include: - Business name - Business Category - Product Category - Address - Latitude and longitude - NAIC - SIC - H3 Index - Phone number - Website - Opening hours

Africa (58)

Algeria

Angola

Benin

Botswana

Burkina Faso

Burundi

Cabo Verde

Cameroon

Central African Republic

Chad

Comoros

Congo

Congo (Democratic Republic of the)

Côte d'Ivoire

Djibouti

Egypt

Equatorial Guinea

Eritrea

Ethiopia

Gabon

Gambia

Ghana

Guinea

Guinea-Bissau

Kenya

Lesotho

Liberia

Libya

Madagascar

Malawi

Mali

Mauritania

Mauritius

Mayotte

Morocco

Mozambique

Namibia

Niger

Nigeria

Rwanda

Réunion

Saint Helena, Ascension and Tristan da Cunha

Sao Tome and Principe

Senegal

Seychelles

Sierra Leone

Somalia

South Africa

South Sudan

Sudan

Swaziland

Tanzania, United Republic of

Togo

Tunisia

Uganda

Western Sahara

Zambia

Zimbabwe

Asia (51)

Afghanistan

Armenia

Azerbaijan

Bahrain

Bangladesh

Bhutan

Brunei Darussalam

Cambodia

China

Cyprus

Georgia

Hong Kong

India

Indonesia

Iran (Islamic Republic of)

Iraq

Israel

Japan

Jordan

Kazakhstan

Korea (Democratic People's Republic of)

Korea (Republic of)

Kuwait

Kyrgyzstan

Lao People's Democratic Republic

Lebanon

Macao

Malaysia

Maldives

Mongolia

Myanmar

Nepal

Oman

Pakistan

Palestine, State of

Philippines

Qatar

Saudi Arabia

Singapore

Sri Lanka

Syrian Arab Republic

Taiwan

Tajikistan

Thailand

Timor-Leste

Turkey

Turkmenistan

United Arab Emirates

Uzbekistan

Vietnam

Yemen

Europe (51)

Albania

Andorra

Austria

Belarus

Belgium

Bosnia and Herzegovina

Bulgaria

Croatia

Czech Republic

Denmark

Estonia

Faroe Islands

Finland

France

Germany

Gibraltar

Greece

Guernsey

Holy See

Hungary

Iceland

Ireland

Isle of Man

Italy

Jersey

Latvia

Liechtenstein

Lithuania

Luxembourg

Macedonia (the former Yugoslav Republic of)

Malta

Moldova (Republic of)

Monaco

Montenegro

Netherlands

Norway

Poland

Portugal

Romania

Russian Federation

San Marino

Serbia

Slovakia

Slovenia

Spain

Svalbard and Jan Mayen

Sweden

Switzerland

Ukraine

United Kingdom

Åland Islands

North America (13)

Belize

Bermuda

Canada

Costa Rica

El Salvador

Greenland

Guatemala

Honduras

Mexico

Nicaragua

Panama

Saint Pierre and Miquelon

United States of America

Oceania (25)

American Samoa

Australia

Cook Islands

Fiji

French Polynesia

Guam

Kiribati

Marshall Islands

Micronesia (Federated States of)

Nauru

New Caledonia

New Zealand

Niue

Norfolk Island

Northern Mariana Islands

Palau

Papua New Guinea

Pitcairn

Samoa

Solomon Islands

Tokelau

Tonga

Tuvalu

Vanuatu

Wallis and Futuna

Other (9)

Antarctica

Bouvet Island

British Indian Ocean Territory

Christmas Island

Cocos (Keeling) Islands

French Southern Territories

Heard Island and McDonald Islands

South Georgia and the South Sandwich Islands

United States Minor Outlying Islands

South America (42)

Anguilla

Antigua and Barbuda

Argentina

Aruba

Bahamas

Barbados

Bolivia (Plurinational State of)

Bonaire, Sint Eustatius and Saba

Brazil

Cayman Islands

Chile

Colombia

Cuba

Curaçao

Dominica

Dominican Republic

Ecuador

Falkland Islands (Malvinas)

French Guiana

Grenada

Guadeloupe

Guyana

Haiti

Jamaica

Martinique

Montserrat

Paraguay

Peru

Puerto Rico

Saint Barthélemy

Saint Kitts and Nevis

Saint Lucia

Saint Martin (French part)

Saint Vincent and the Grenadines

Sint Maarten (Dutch part)

Suriname

Trinidad and Tobago

Turks and Caicos Islands

Uruguay

Venezuela (Bolivarian Republic of)

Virgin Islands (British)

Virgin Islands (U.S.)

20 years of historical data

312 million	Locations
3.3 billion	Observations

Free sample available

dataplor has not published pricing information for this product yet. You can request detailed pricing information below.

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What is Global Location Data 312+ Million Locations?

dataplor’s Global Location dataset covers 312+ million locations across 250 countries and territories, making it one of the most comprehensive location datasets available. This dataset is particularly valued for its ability to provide updates in real-time and weekly increments.

What is Global Location Data 312+ Million Locations used for?

This product has 5 key use cases. dataplor recommends using the data for Location Intelligence, Retail Site Selection, Competitive Intelligence, Location Planning, and POI Enrichment. Global businesses and organizations buy Location Data from dataplor to fuel their analytics and enrichment.

Who can use Global Location Data 312+ Million Locations?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Location Data. Get in touch with dataplor to see what their data can do for your business and find out which integrations they provide.

How far back does the data in Global Location Data 312+ Million Locations go?

This product has 20 years of historical coverage. It can be delivered on a daily, weekly, monthly, quarterly, yearly, and on-demand basis.

Which countries does Global Location Data 312+ Million Locations cover?

This product includes data covering 249 countries like USA, China, Japan, Germany, and India. dataplor is headquartered in United States of America.

How much does Global Location Data 312+ Million Locations cost?

Pricing information for Global Location Data 312+ Million Locations is available by getting in contact with dataplor. Connect with dataplor to get a quote and arrange custom pricing models based on your data requirements.

How can I get Global Location Data 312+ Million Locations?

Businesses can buy Location Data from dataplor and get the data via S3 Bucket and Email. Depending on your data requirements and subscription budget, dataplor can deliver this product in .bin, .json, .xml, .csv, .xls, .sql, and .txt format.

What is the data quality of Global Location Data 312+ Million Locations?

You can compare and assess the data quality of dataplor using Datarade’s data marketplace. dataplor has received 3 reviews from clients.

What are similar products to Global Location Data 312+ Million Locations?

This product has 3 related products. These alternatives include The Data Appeal Global Business Location Data 200 Million+ POI Data Mapped Coverage from 2019 API, Dataset, Location Data Global Location Data on 52M+ POI SafeGraph Places, and GapMaps Premium Location Data Asia/MENA Leading Retail Brands Monthly Tracking. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.

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Global Location Data | 312+ Million Locations

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

dataplor
Globally scaled, dynamically updated and human-reviewed accurate location data.

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Global Location Data | 312+ Million Locations

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

dataplor Globally scaled, dynamically updated and human-reviewed accurate location data.

Trusted by

dataplor
Globally scaled, dynamically updated and human-reviewed accurate location data.