GapMaps Premium Demographic Data | Asia/ MENA | 150m x 150m Grids| Current Estimates product image in hero

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

GapMaps
5.0(1)Badge iconVerified Data Provider
#
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
Sign In To Preview Data
#
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
Sign In To Preview Data
#
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
Sign In To Preview Data
Volume
3.7M
Small Area regions assessed in India
Avail. Formats
.json and .csv
File
Coverage
6
Countries

Data Dictionary

[Sample] GapMaps_india_premium_sample (1).csv
Attribute Type Example Mapping
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 Mapping
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 Mapping
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 Mapping
Population
String
Worker Population
String
Consuming Class
String
Premium Consuming Class
String
Demographics
String Age Profile
Resident Retail Spending
String Food & Beverage

Description

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

Country Coverage

Asia (6)
India
Indonesia
Malaysia
Philippines
Saudi Arabia
Singapore

Volume

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

Pricing

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

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
SFTP
Frequency
yearly
Format
.json
.csv

Use Cases

Categories

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Frequently asked questions

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

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.

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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