area_id	p2023	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
xxxxxxx	xxx	xx	xxx	xx	x	xxx	xxx	xx	xx	x	xx	xxx	x	xx	x	xx
xxxxxxx	xxx	xx	xxx	xx	x	xxx	xxx	xxx	xx	x	xx	xxx	xx	xx	xx	xx
xxxxxxx	xxx	xx	xxx	xxx	x	xxx	xxx	xxx	xx	x	xx	xxx	x	x	xx	xxx
xxxxxxx	xxxx	xxx	xxxx	xxx	xx	xxx	xxx	xxx	xx	xx	xx	xxx	xx	xx	xx	xxx
xxxxxxx	xxx	xx	xxx	xxx	x	xxx	xxx	xxx	xx	x	xx	xxx	xx	xx	xx	xxx
xxxxxxx	xxx	xx	xxx	xx	x	xxx	xxx	xx	xx	x	xx	xxx	x	xx	x	xx
xxxxxxx	xxx	xx	xx	xx	x	xx	xx	xx	x	x	x	xx	x	x	x	xx
xxxxxxx	xxx	xx	xxx	xx	x	xxx	xxx	xxx	xx	x	xx	xxx	xx	xx	xx	xx
xxxxxxx	xx	x	xx	x	x	xx	xx	xx	x	x	x	xx	x	x	x	x
xxxxxxx	xxx	xx	xxx	xxx	xx	xxx	xxx	xxx	xx	x	xx	xxx	xx	xx	xx	xxx

Request Sample Access

Attribute	Type	Example
area_id	Integer	3983148
p2023	Integer	234
p_06	Integer	25
p_7_	Integer	206
p_sc	Integer	50
p_st	Integer	4
p_s_	Integer	177
p_lit	Integer	160
p_ill	Integer	67
mainwork_p	Integer	19
mgwk_0_3_p	Integer	3
mgwk_3_6_p	Integer	15
non_work_p	Integer	130
main_cl_p	Integer	9
main_al_p	Integer	15
main_hh_p	Integer	6
main_ot_p	Integer	48

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
xxxxxxx	xxx	xxxx	xxxx	xxxxx	xxxx	xxxx	xxxxx	xxxxx	xxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxx
xxxxxxx	xxx	xxxx	xxxx	xxxxx	xxxx	xxxx	xxxxx	xxxxx	xxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxx
xxxxxxx	xxx	xxxx	xxxx	xxxxx	xxxx	xxxx	xxxx	xxxxx	xxxx	xxxxxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxxxxxx	xxxxxxxxxx	xxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxx
xxxxxxx	xxx	xxxx	xxxx	xxxxx	xxxx	xxxx	xxxxx	xxxxx	xxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxx
xxxxxxx	xxx	xxxx	xxxx	xxxxx	xxxx	xxxx	xxxx	xxxxx	xxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxx
xxxxxxx	xxx	xxxx	xxxxx	xxxxx	xxxx	xxxxx	xxxxx	xxxxx	xxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxxxxxxx	xxxxxxxxxxx	xxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxx
xxxxxxx	xxx	xxxx	xxxxx	xxxxx	xxxx	xxxxx	xxxxx	xxxxx	xxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxxxx	xxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxx
xxxxxxx	xxx	xxxx	xxxx	xxxxx	xxxx	xxxx	xxxx	xxxxx	xxxx	xxxxxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxxxxxx	xxxxxxxxxx	xxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxx
xxxxxxx	xxxxx	xxxxx	xxxxx	xxxxxx	xxxxx	xxxxx	xxxxx	xxxxx	xxxxx	xxxxxxxxxx	xxxxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxxxx	xxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxx
xxxxxxx	xxxxxx	xxxxx	xxxxx	xxxxxx	xxxxx	xxxxx	xxxxx	xxxxx	xxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxxxx	xxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxx

Request Sample Access

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

file	column_id	classification_label	label	Base / Premium
xxxxxxxxxx	xxxxx	xxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxx	xxxxxx
xxxxxxxxxxxxx	xxxxx	xxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxx
xxxxxxxxxxxxx	xxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxx
xxxxxxxxxxxxx	xxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxx
xxxxxxxxxxxxx	xxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxx
xxxxxxxxxxxxx	xxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxx
xxxxxxxxxxxxx	xxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxx
xxxxxxxxxxxxx	xxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxx	xxxxxxx
xxxxxxxxxxxxx	xxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxx
xxxxxxxxxxxxx	xxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxx	xxxxxxx

Request Sample Access

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

category	business_name	uuid	title	address	suburb	postcode	latitude	longitude	location_status	country	state	location_updated_date	location_validated_date
xxxx	xxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxxxx	xxxx	xxxxxxxxx	xxxxxxxxxxx	xxxx	xxxxxxxx	xxxxxxxxxxxx	xxxxxxxxxxx	xxxxxxxxxxx
xxxx	xxxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxx	xxxx	xxxxxxxxxxxxxxxx	xxxxxxxxxxx	xxxx	xxxxxxxx	xxxxxxxxxxxxxxx	xxxxxxxxxxx	xxxxxxxxxxx
xxxx	xxxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxxxx	xxxx	xxxxxxxx	xxxxxxxxxx	xxxx	xxxxxxxx	xxxxxxxxxxxx	xxxxxxxxxxx	xxxxxxxxxxx
xxxx	xxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxxxx	xxxx	xxxxxxxx	xxxxxxxxxxx	xxxx	xxxxxxxx	xxxxxxxxxxxx	xxxxxxxxxxx	xxxxxxxxxxx
xxxx	xxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxx	xxxx	xxxxxxxx	xxxxxxxxxxx	xxxx	xxxxxxxx	xxxxx	xxxxxxxxxxx	xxxxxxxxxxx
xxxx	xxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxxxx	xxxx	xxxxxxxxx	xxxxxxxxxxx	xxxx	xxxxxxxx	xxxxxxxxxxxx	xxxxxxxxxxx	xxxxxxxxxxx
xxxx	xxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxxxx	xxxx	xxxxxxxxxxx	xxxxxxxxxxx	xxxx	xxxxxxxx	xxxxxxxxxxxx	xxxxxxxxxxx	xxxxxxxxxxx
xxxx	xxxxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxxxx	xxxx	xxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxx	xxxx	xxxxxxxx	xxxxxxxxxxxx	xxxxxxxxxxx	xxxxxxxxxxx
xxxx	xxxxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxxx	xxxx	xxxxxxxxx	xxxxxxxxxxx	xxxx	xxxxxxxx	xxxxx	xxxxxxxxxxx	xxxxxxxxxxx
xxxx	xxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx	xxxx	xxxx	xxxxxxxxx	xxxxxxxxxxx	xxxx	xxxxxxxx	xxxxx	xxxxxxxxxxx	xxxxxxxxxxx

Request Sample Access

Attribute	Type	Example
category	String	Cafe
business_name	String	Bask Bear Coffee
uuid	String	7aa99f3d-9b29-11ed-89a2-040300000000
title	String	Bask Bear Coffee Supreme, Pavilion Bukit Jalil
address	String	Pusat Bandar, Pavilion, Lot 1.79.01, Level 1, 2, Persiaran Jalil Utama, Bukit Jalil, 57000 Kuala Lumpur, Federal Territory of Kuala Lumpur
suburb	String	Kuala Lumpur
postcode	String	NULL
latitude	Float	3.0507085
longitude	Float	101.6707302
location_status	String	Open
country	String	Malaysia
state	String	Kuala Lumpur
location_updated_date	String	28-Sep-2023
location_validated_date	String	11-Mar-2024

Description

Sourcing accurate and up-to-date GIS 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 GIS data 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. GapMaps GIS data for Asia and MENA can be utilized in any GIS platform and includes the latest Demographic estimates (updated annually) including: 1. Population (how many people live in your local catchment) 2. Census 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. GapMaps GIS Data also includes Point-Of-Interest (POI) Data updated monthly across a range of categories including Fast Food, Cafe, Health & Fitness and Supermarket/ Grocery Primary Use Cases for GapMaps GIS Data: 1. Retail Site Selection - identify optimal locations for future expansion and benchmark performance across existing locations. 2. Customer Profiling: get a detailed understanding of the demographic profile of your customers, where they work and their spending potential 3. Analyse your trade areas at a granular 150m x 150m grid levels using all the key metrics 4. Target Marketing: Develop effective marketing strategies to acquire more customers. 5. Integrate GapMaps GIS data with your existing GIS or BI platform to generate powerful visualizations.