GapMaps Premium Demographic Data | Asia/ MENA | 150m x 150m Grids| Current Estimates

#	area_id	w2022	uc2022	mc2022	nc2022	p5_2022	p4_2022	p3_2022	p2_2022	p1_2022	sfb356	sg356	sap356	sonf356	s356	sfb356pc	sg356pc	sap356pc	sonf356pc	s356pc
1	xxxxxxxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxx	Xxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxx
2	Xxxxx	Xxxxxx	xxxxx	xxxxxxxx	xxxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxx	xxxxxx	Xxxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxx	xxxxxx	xxxxxxx	xxxxxxx	Xxxxx
3	xxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	xxxxxx	Xxxxxxxx	Xxxxxxx	Xxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxxxx	xxxxxxxx	Xxxxxxxxxx	Xxxxxxxx
4	Xxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	xxxxx	xxxxxxx	xxxxxxxxx	Xxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxxxxx	xxxxxxxxx	Xxxxx	xxxxxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxx	Xxxxxxx
5	xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxx	xxxxxx	Xxxxxxxxx	xxxxx	Xxxxxxxxxx	xxxxxx	xxxxx	xxxxxxxx	Xxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxx
6	Xxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxx	xxxxx	xxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxx	Xxxxxxxx	Xxxxxxx	xxxxx	xxxxxxxx	xxxxxxxxxx	Xxxxxx	xxxxxxxxx	Xxxxx	xxxxx
7	xxxxxxxxx	xxxxxxx	Xxxxxxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxx	xxxxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxxx	Xxxxxxxx	xxxxxxxx	xxxxxxxxx	Xxxxxxx
8	Xxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	Xxxxx	Xxxxxx	Xxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxx	Xxxxxxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxx	Xxxxxxx
9	xxxxxxxxx	Xxxxx	xxxxx	Xxxxxx	xxxxxxxxx	xxxxxxx	xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxx	Xxxxx	Xxxxxxxxx	xxxxxxxxxx	xxxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxx	Xxxxxxxxxx	Xxxxxxxxxx	Xxxxxxxx
10	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	Xxxxxxxxx	xxxxxxx	Xxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxx	xxxxxxxx	Xxxxxx	xxxxxxxxxx	xxxxxxxxx

#	area_id	p2022	p_06	p_7_	p_sc	p_st	p_s_	p_lit	p_ill	mainwork_p	mgwk_0_3_p	mgwk_3_6_p	non_work_p	main_cl_p	main_al_p	main_hh_p	main_ot_p
1	xxxxxxxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxx	Xxxxx	xxxxxxxxxx
2	xxxxxx	Xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxx	xxxxx	xxxxxxxx	xxxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxx	xxxxxx	Xxxxxxxxx	Xxxxxxxxx	xxxxxxxxxx
3	Xxxxxx	Xxxxx	xxxxxx	xxxxxxx	xxxxxxx	Xxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	xxxxxx	Xxxxxxxx	Xxxxxxx	Xxxxx	xxxxxx
4	xxxxxxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxxxx	xxxxxxxx	Xxxxxxxxxx	Xxxxxxxx	Xxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	xxxxx	xxxxxxx	xxxxxxxxx
5	Xxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxxxxx	xxxxxxxxx	Xxxxx	xxxxxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxx	Xxxxxxx	xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxx
6	xxxxxxxxxx	Xxxxxx	xxxxxx	Xxxxxxxxx	xxxxx	Xxxxxxxxxx	xxxxxx	xxxxx	xxxxxxxx	Xxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxx	xxxxxxxxxx
7	xxxxxxxxx	xxxxx	xxxxx	xxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxx	Xxxxxxxx	Xxxxxxx	xxxxx	xxxxxxxx	xxxxxxxxxx	Xxxxxx	xxxxxxxxx	Xxxxx
8	xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxx	xxxxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxxx
9	Xxxxxxxx	xxxxxxxx	xxxxxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	Xxxxx	Xxxxxx	Xxxxx	Xxxxxxxxx	xxxxxx
10	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	Xxxxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxxxxxx	Xxxxxxxx	xxxxxxxxxx

#	file	column_id	classification_label	label	Base / Premium
1	xxxxxxxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxxxx	Xxxxx
2	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx
3	xxxxxxxxx	Xxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxx
4	Xxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxx
5	Xxxxx	Xxxxxx	xxxxx	xxxxxxxx	xxxxxxx
6	Xxxxx	Xxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxx
7	xxxxxx	Xxxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	Xxxxxx
8	Xxxxx	xxxxxx	xxxxxxx	xxxxxxx	Xxxxx
9	xxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxxx	Xxxxx
10	Xxxxxxx	xxxxxx	Xxxxxxxx	Xxxxxxx	Xxxxx
...	xxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx

Volume

3.7M

Small Area regions assessed in India

Avail. Formats

.json and .csv

File

Coverage

Countries

[Sample] GapMaps_india_premium_sample (1).csv

Attribute	Type	Example
area_id	Integer	1801913
w2022	Float	0.0
uc2022	Float	44.0
mc2022	Float	59.0
nc2022	Float	453.0
p5_2022	Float	44.0
p4_2022	Float	59.0
p3_2022	Float	106.0
p2_2022	Float	201.0
p1_2022	Float	146.0
sfb356	Float	13181648.0
sg356	Float	28838533.0
sap356	Float	4686003.0
sonf356	Float	12171617.0
s356	Float	58877801.0
sfb356pc	Float	42.64208633093525
sg356pc	Float	93.2931654676259
sap356pc	Float	15.160071942446043
sonf356pc	Float	39.37589928057554
s356pc	Float	190.46942446043167

[Sample] GapMaps_india_base_sample.csv

Attribute	Type	Example
area_id	Integer	1801913
p2022	Float	556.0
p_06	Float	57.0
p_7_	Float	494.0
p_sc	Float	127.0
p_st	Float	2.0
p_s_	Float	422.0
p_lit	Float	393.0
p_ill	Float	150.0
mainwork_p	Float	65.0
mgwk_0_3_p	Float	12.0
mgwk_3_6_p	Float	52.0
non_work_p	Float	316.0
main_cl_p	Float	21.0
main_al_p	Float	35.0
main_hh_p	Float	11.0
main_ot_p	Float	93.0

[Sample] GapMaps_India_DataDictionary (7).csv

Attribute	Type	Example
file	String	india_base
column_id	String	p2022
classification_label	String	Population Summary
label	String	Resident Population 2022
Base / Premium	String	Base

Product Attributes

Attribute	Type	Example
Population	String
Worker Population	String
Consuming Class	String
Premium Consuming Class	String
Demographics	String	Age Profile
Resident Retail Spending	String	Food & Beverage

GapMaps uses known population data combined with billions of mobile device location points to provide highly accurate and globally consistent demographic datasets at 150m grid levels across Asia and MENA. Understand who lives in a catchment, where they work and their spending potential.

Sourcing accurate and up-to-date demographic data across Asia and MENA has historically been difficult for retail brands looking to expand their store networks in these regions. Either the data does not exist or it isn't readily accessible or updated regularly. GapMaps uses known population data combined with billions of mobile device location points to provide highly accurate and globally consistent demographic datasets across Asia and MENA at 150m x 150m grid levels in major cities and 1km grids outside of major cities. With this information, brands can get a detailed understanding of who lives in a catchment, where they work and their spending potential which allows you to: - Better understand your customers - Identify optimal locations to expand your retail footprint - Define sales territories for franchisees - Run targeted marketing campaigns. Premium demographics data for Asia and MENA includes the latest estimates (updated annually) on: 1. Population (how many people live in your local catchment) 2. Demographics (who lives within your local catchment) 3. Worker population (how many people work within your local catchment) 4. Consuming Class and Premium Consuming Class (who can can afford to buy goods & services beyond their basic needs and /or shop at premium retailers) 5. Retail Spending (Food & Beverage, Grocery, Apparel, Other). How much are consumers spending on retail goods and services by category. Primary Use Cases for GapMaps Demographic Data: 1. Retail (eg. Fast Food/ QSR, Cafe, Fitness, Supermarket/Grocery) - Customer Profiling: get a detailed understanding of the demographic profile of your customers, where they work and their spending potential - Analyse your trade areas at a granular 150m x 150m grid levels using all the key metrics - Site Selection: Identify optimal locations for future expansion and benchmark performance across existing locations. - Target Marketing: Develop effective marketing strategies to acquire more customers. - Integrate GapMaps demographic data with your existing GIS or BI platform to generate powerful visualizations. 2. Commercial Real-Estate (Brokers, Developers, Investors, Single & Multi-tenant O/O) - Tenant Recruitment - Target Marketing - Market Potential / Gap Analysis 3. Marketing / Advertising (Billboards/OOH, Marketing Agencies, Indoor Screens) - Customer Profiling - Target Marketing - Market Share Analysis

Asia (6)

India

Indonesia

Malaysia

Philippines

Saudi Arabia

Singapore

3.7 million	Small Area regions assessed in India
46,000	Small Area Regions assessed in Singapore
3.5 million	Small Area Regions Assessed in Saudi Arabia
1.49 million	Small Area Regions Assessed in Indonesia

Free sample available

License	Starts at
One-off purchase	Not available
Monthly License	Not available
Yearly License	Available
Usage-based	Not available

Request detailed pricing

Methods

Frequency

Format

Location Intelligence

Location-based Analytics

Retail Site Selection Location Planning Location Insights

Demographic Data Map Data GIS Data Geodemographic Data Spending Data

3.5M Small Area Regions Assessed in Saudi Arabia

12% month updates

Saudi Arabia covered

GapMaps uses known population data combined with billions of mobile device location points to provide highly accurate and globally consistent demographic dat...

11M POI (Points of Interest)

97% Location accuracy

3 countries covered

Geospatial data on information about points of interest (POI), such as brand, address, location, lat/log, open-hours, and NAICS category. This high-quality l...

320 Billion Pieces of Online Content Analyzed Each Day

80% match rate

249 countries covered

Reach out to the experts for Geographic Data, Point of Interest (POI) Data, and GIS Data. Unlock unparalleled insights with our Location Data. Explore Map Da...

3 months untouched

98% valid email

Canada covered

QuoteWay Canada offers comprehensive Demographic Data, featuring approximately 1.3M records from Canada. This data includes age, gender, address, and identit...

What is GapMaps Premium Demographic Data Asia/ MENA 150m x 150m Grids Current Estimates?

What is GapMaps Premium Demographic Data Asia/ MENA 150m x 150m Grids Current Estimates used for?

This product has 5 key use cases. GapMaps recommends using the data for Location Intelligence, Location-based Analytics, Retail Site Selection, Location Planning, and Location Insights. Global businesses and organizations buy Demographic Data from GapMaps to fuel their analytics and enrichment.

Who can use GapMaps Premium Demographic Data Asia/ MENA 150m x 150m Grids Current Estimates?

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

Which countries does GapMaps Premium Demographic Data Asia/ MENA 150m x 150m Grids Current Estimates cover?

This product includes data covering 6 countries like India, Indonesia, Saudi Arabia, Singapore, and Malaysia. GapMaps is headquartered in Australia.

How much does GapMaps Premium Demographic Data Asia/ MENA 150m x 150m Grids Current Estimates cost?

Pricing information for GapMaps Premium Demographic Data Asia/ MENA 150m x 150m Grids Current Estimates is available by getting in contact with GapMaps. Connect with GapMaps to get a quote and arrange custom pricing models based on your data requirements.

How can I get GapMaps Premium Demographic Data Asia/ MENA 150m x 150m Grids Current Estimates?

Businesses can buy Demographic Data from GapMaps and get the data via S3 Bucket and SFTP. Depending on your data requirements and subscription budget, GapMaps can deliver this product in .json and .csv format.

What is the data quality of GapMaps Premium Demographic Data Asia/ MENA 150m x 150m Grids Current Estimates?

You can compare and assess the data quality of GapMaps using Datarade’s data marketplace. GapMaps has received 1 review from clients.

What are similar products to GapMaps Premium Demographic Data Asia/ MENA 150m x 150m Grids Current Estimates?

This product has 3 related products. These alternatives include GapMaps Premium Demographic Data Saudi Arabia 150m Grids Current Estimates, Geospatial Data: Places Data Global Location Data on 52M+ Places, and The Data Appeal Global Geographic Data API, Dataset 251M POI Data Mapped Coverage from 2019. You can compare the best Demographic Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request

License	Starts at
One-off purchase	Not available
Monthly License	Not available
Yearly License	Available
Usage-based	Not available

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88% Response rate

GapMaps Premium Demographic Data | Asia/ MENA | 150m x 150m Grids| Current Estimates

Data Dictionary

Description

Country Coverage

Volume

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

GapMaps
Make better location decisions globally

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GapMaps Premium Demographic Data | Asia/ MENA | 150m x 150m Grids| Current Estimates

Data Dictionary

Description

Country Coverage

Volume

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

GapMaps Make better location decisions globally

Trusted by

GapMaps
Make better location decisions globally