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Geodemographic Data | Asia/ MENA | Latest Estimates on Population, ...
Geodemographic Data | Asia/ MENA | Latest Estimates on Population, Consuming ...
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Geodemographic Data | Asia/ MENA | Latest Estimates on Population, Consuming Class, Demographics, Retail Spend | GIS Data | Map Data product image in hero

Geodemographic Data | Asia/ MENA | Latest Estimates on Population, Consuming Class, Demographics, Retail Spend | GIS Data | Map Data

GapMaps
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Contact Provider Save for later
Data Samples
GapMaps_singapore_all_sample.csv GapMaps_Singapore_DataDictionary (5).csv
#
area_id
p2022
p1_2022
p2_2022
p3_2022
p4_2022
p5_2022
p6_2022
a04
a59
a1014
a1519
a2024
a2529
a3034
a3539
a4044
a4549
a5054
a5559
a6064
a6569
a7074
a7579
a8084
a8589
a90
chinese
malays
indians
others
w2022
uc2022
mc2022
nc2022
fb
fr
ap
onf
tr
fbpc
frpc
appc
onfpc
trpc
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 xxxxxx Xxxxxxxxx Xxxxxxxxx xxxxxxxxxx Xxxxxx Xxxxx xxxxxx xxxxxxx xxxxxxx Xxxxx xxxxxx Xxxxxxxxxx xxxxxxxx xxxxxx Xxxxx
2 Xxxxxxx xxxxxx Xxxxxxxx Xxxxxxx Xxxxx xxxxxx xxxxxxxxxx Xxxxx xxxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxxxx xxxxxxxx Xxxxxxxxxx Xxxxxxxx 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
3 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 xxxxxxxxx xxxxxxx Xxxxxxxxx Xxxxxxx xxxxxxxxxx Xxxxx xxxxxxxxx xxxxxxx Xxxxxx xxxxxxxxx xxxxx Xxxxxxx xxxxxxxxx Xxxxxxxx xxxxxxxx
4 Xxxxxxxx Xxxxxxxx xxxxxxxx xxxxxxxxx Xxxxxxx Xxxxxxxxx xxxxxxxx xxxxx Xxxxxxxxxx xxxxxxxxxx xxxxxx Xxxxx Xxxxxxx Xxxxx Xxxxxx 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
5 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 xxxxx Xxxxx xxxxxxx xxxxxxxxxx Xxxxxx
6 Xxxxxxxxx xxxxxxx Xxxxxxxx xxxxx xxxxx Xxxxxxxxxx Xxxxxxx Xxxxxxxx Xxxxxxx xxxxx xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxxxxx xxxxxxx 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
7 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
8 Xxxxxxxxxx Xxxxxxxxx Xxxxxxx xxxxxxxx Xxxxxxx Xxxxxxxxxx Xxxxxxxxx xxxxxxxxxx xxxxxxx Xxxxxxxxx xxxxxxxxx xxxxxxxx xxxxxxxxx xxxxx Xxxxx Xxxxxxxx xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxx Xxxxxxxxxx Xxxxxxxxx Xxxxxx xxxxxxxx xxxxxxxxxx xxxxxxxx Xxxxx xxxxxxxx xxxxxxxxxx xxxxxxxx Xxxxx xxxxxxxx xxxxxx Xxxxxxxx xxxxxxxxxx Xxxxxxx xxxxxxxxxx Xxxxxxx Xxxxxxxxx xxxxxx Xxxxx Xxxxx Xxxxxx Xxxxxxxxx
9 Xxxxxxxxx xxxxx Xxxxx Xxxxxxxxxx Xxxxxxx Xxxxxxxxxx Xxxxxxxx xxxxxxx xxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx Xxxxxx Xxxxxx Xxxxxxx xxxxxxxxxx Xxxxxxx Xxxxxxxxxx xxxxx xxxxxxx xxxxxxxxx xxxxxxxxx xxxxxx xxxxxx Xxxxxxxxxx xxxxxxxxxx xxxxxxxxx Xxxxxx xxxxxxxxxx Xxxxxxx xxxxxxxxx xxxxxxx Xxxxxxxx Xxxxxxxx Xxxxxxx xxxxxx xxxxx xxxxx Xxxxxxxxx xxxxx Xxxxx Xxxxxx xxxxxxxxxx Xxxxxxxx Xxxxxxxx
10 Xxxxxxxxx Xxxxxxxxxx xxxxxx Xxxxx Xxxxxxxx xxxxxx Xxxxx Xxxxxx xxxxxx xxxxxxxx Xxxxxxxx Xxxxxxxxxx xxxxxxxxxx Xxxxx Xxxxxxx Xxxxxxx Xxxxxx Xxxxxx xxxxxxxx Xxxxxxxxx Xxxxx Xxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxx Xxxxxxxx Xxxxxxxxxx xxxxxx xxxxxxxxxx xxxxxx xxxxxx Xxxxxxxxxx xxxxxxx Xxxxxxxxxx xxxxx Xxxxxxxxx Xxxxxxx Xxxxxxxxx Xxxxx Xxxxxxxx xxxxxxxxx xxxxxxxxxx xxxxx xxxxxxxxxx xxxxxxx
... xxxxxxxx Xxxxx xxxxx xxxxxx Xxxxxx xxxxxxxxxx xxxxxxxxxx Xxxxxxxxx xxxxxxx Xxxxxxx Xxxxxxxxxx Xxxxxxxx xxxxxx xxxxxx Xxxxxx xxxxxx xxxxx Xxxxxxxxx Xxxxxxxxx Xxxxxx Xxxxx Xxxxxxxxx Xxxxxx Xxxxxx xxxxxx xxxxx xxxxxxx xxxxxxxxxx xxxxxx Xxxxxxx Xxxxx xxxxxxxxxx Xxxxx xxxxxxx xxxxxxx Xxxxxxxxxx Xxxxx xxxxxxx Xxxxxxxx Xxxxxx xxxxxxxxxx Xxxxx Xxxxxxx xxxxx xxxxxx
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
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GapMaps_singapore_all_sample.csv GapMaps_Singapore_DataDictionary (5).csv
Data Quality
100%
Coverage of Major cities (150m grids)
Avail. Formats
.json and .csv
File
Coverage
6
Countries

Data Dictionary

[Sample] GapMaps_singapore_all_sample.csv
Attribute Type Example Mapping
area_id
 Integer 27587
p2022
 Integer 0
p1_2022
 Integer 0
p2_2022
 Integer 0
p3_2022
 Integer 0
p4_2022
 Integer 0
p5_2022
 Integer 0
p6_2022
 Integer 0
a04
 Integer 0
a59
 Integer 0
a1014
 Integer 0
a1519
 Integer 0
a2024
 Integer 0
a2529
 Integer 0
a3034
 Integer 0
a3539
 Integer 0
a4044
 Integer 0
a4549
 Integer 0
a5054
 Integer 0
a5559
 Integer 0
a6064
 Integer 0
a6569
 Integer 0
a7074
 Integer 0
a7579
 Integer 0
a8084
 Integer 0
a8589
 Integer 0
a90
 Integer 0
chinese
 Integer 0
malays
 Integer 0
indians
 Integer 0
others
 Integer 0
w2022
 Integer 0
uc2022
 Integer 0
mc2022
 Integer 0
nc2022
 Integer 0
fb
 Integer 0
fr
 Integer 0
ap
 Integer 0
onf
 Integer 0
tr
 Integer 0
fbpc
 Integer 0
frpc
 Integer 0
appc
 Integer 0
onfpc
 Integer 0
trpc
 Integer 0
[Sample] GapMaps_Singapore_DataDictionary (5).csv
Attribute Type Example Mapping
file
 String singapore
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 geodemographic data at 150m grids across Asia and MENA. Understand who lives in a catchment, where they work and their spending potential.
Sourcing accurate and up-to-date geodemographic 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 geodemographic 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 geodemographics 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 Geodemographic 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

Pricing

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

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
100%
Coverage of Major cities (150m grids)
100%
Coverage in Non-Urban Areas (1km grids)

Delivery

Methods
S3 Bucket
SFTP
Frequency
yearly
Format
.json
.csv

Use Cases

Categories

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Frequently asked questions

What is Geodemographic Data Asia/ MENA Latest Estimates on Population, Consuming Class, Demographics, Retail Spend GIS Data Map Data?

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

What is Geodemographic Data Asia/ MENA Latest Estimates on Population, Consuming Class, Demographics, Retail Spend GIS Data Map Data 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 Geodemographic Data Asia/ MENA Latest Estimates on Population, Consuming Class, Demographics, Retail Spend GIS Data Map Data?

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 Geodemographic Data Asia/ MENA Latest Estimates on Population, Consuming Class, Demographics, Retail Spend GIS Data Map Data cover?

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

How much does Geodemographic Data Asia/ MENA Latest Estimates on Population, Consuming Class, Demographics, Retail Spend GIS Data Map Data cost?

Pricing information for Geodemographic Data Asia/ MENA Latest Estimates on Population, Consuming Class, Demographics, Retail Spend GIS Data Map Data 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 Geodemographic Data Asia/ MENA Latest Estimates on Population, Consuming Class, Demographics, Retail Spend GIS Data Map Data?

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 Geodemographic Data Asia/ MENA Latest Estimates on Population, Consuming Class, Demographics, Retail Spend GIS Data Map Data?

GapMaps has reported that this product has the following quality and accuracy assurances: 100% Coverage of Major cities (150m grids), 100% Coverage in Non-Urban Areas (1km grids). 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 Geodemographic Data Asia/ MENA Latest Estimates on Population, Consuming Class, Demographics, Retail Spend GIS Data Map Data?

This product has 3 related products. These alternatives include Premium GIS Data Asia/ MENA Latest Estimates on Population, Consuming Class, Retail Spend, Demographics Map Data Demographic Data, Retail Store Data: Accurate Places Data Global Location Data on 52M+ Places, and Polygon Data Marinas in US and Canada Map & Geospatial Insights. 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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