Population Demographics | Kuwait

Categories:

Demographics

Description

Population demographics for Kuwait in a high-resolution data format disaggregated to be high resolution

Population Demographics data in Kuwait – POI data

Population demographics for Kuwait in a high-resolution data format disaggregated to be high resolution

Business Model:

One time purchase

Aggregation Date:

12 May 2023

Raw Data Table

longitude	latitude	female_0	female_1	female_5	female_10	female_15	female_20	female_25	female_30	female_35	female_40	female_45	female_50	female_55	female_60	female_65	female_70	female_75	female_80	male_0	male_1	male_5	male_10	male_15	male_20	male_25	male_30	male_35	male_40	male_45	male_50	male_55	male_60	male_65	male_70	male_75	male_80
47.69916649	30.08416675	0.0838381	0.337532	0.441353	0.419421	0.390099	0.355294	0.296899	0.315315	0.311121	0.255227	0.226636	0.176565	0.131602	0.11082	0.0644879	0.0309487	0.0172727	0.010241	0.0925547	0.3703	0.466017	0.449447	0.409875	0.390405	0.426987	0.475692	0.450569	0.363792	0.320555	0.273449	0.142954	0.12693	0.0648808	0.0280576	0.0136698	0.00890297
47.69999982	30.08416675	0.0838729	0.337672	0.441536	0.419594	0.390261	0.355442	0.297022	0.315445	0.31125	0.255333	0.22673	0.176638	0.131656	0.110866	0.0645147	0.0309615	0.0172798	0.0102453	0.0925931	0.370453	0.46621	0.449634	0.410045	0.390566	0.427164	0.475889	0.450756	0.363943	0.320688	0.273562	0.143013	0.126982	0.0649077	0.0280692	0.0136755	0.00890666
47.70083316	30.08416675	0.083355	0.335587	0.43881	0.417004	0.387852	0.353247	0.295188	0.313498	0.309329	0.253756	0.22533	0.175548	0.130843	0.110181	0.0641163	0.0307703	0.0171731	0.010182	0.0920214	0.368166	0.463331	0.446858	0.407513	0.388155	0.424527	0.472951	0.447973	0.361696	0.318707	0.271873	0.14213	0.126198	0.064507	0.0278959	0.0135911	0.00885166
47.70166649	30.08416675	0.0840572	0.338414	0.442506	0.420517	0.391119	0.356223	0.297674	0.316139	0.311934	0.255894	0.227228	0.177026	0.131946	0.111109	0.0646564	0.0310296	0.0173178	0.0102678	0.0927966	0.371268	0.467235	0.450622	0.410946	0.391425	0.428103	0.476935	0.451746	0.364743	0.321392	0.274164	0.143327	0.127262	0.0650504	0.0281309	0.0137056	0.00892623
47.70249982	30.08416675	0.0870446	0.350442	0.458233	0.435462	0.405019	0.368883	0.308254	0.327374	0.323021	0.264989	0.235304	0.183318	0.136635	0.115058	0.0669544	0.0321324	0.0179333	0.0106327	0.0960946	0.384463	0.48384	0.466637	0.425551	0.405336	0.443318	0.493886	0.467802	0.377706	0.332815	0.283908	0.148421	0.131784	0.0673623	0.0291307	0.0141927	0.00924348
47.70333316	30.08416675	0.0838586	0.337614	0.441461	0.419523	0.390195	0.355381	0.296971	0.315392	0.311197	0.255289	0.226691	0.176608	0.131634	0.110847	0.0645037	0.0309562	0.0172769	0.0102435	0.0925773	0.37039	0.466131	0.449557	0.409975	0.3905	0.427092	0.475808	0.450679	0.363881	0.320633	0.273516	0.142989	0.126961	0.0648967	0.0280645	0.0136732	0.00890514

Key Stats about Data

Column name	Description	Type
longitude	Geographical Longitude of the center of the grid	float
latitude	Geographical Latitude of the center of the grid	float
female_0	Female population in 100 meters of age 0 – 1 years old	float
female_1	Female population in 100 meters of age 1-5 years old	float
female_5	Female population in 100 meters of age 5-10 years old	float
female_10	Female population in 100 meters of age 10 – 15 years old	float
female_15	Female population in 100 meters of age 15 – 20 years old	float
female_20	Female population in 100 meters of age 20 – 25 years old	float
female_25	Female population in 100 meters of age 25 – 30 years old	float
female_30	Female population in 100 meters of age 30 – 35 years old	float
female_35	Female population in 100 meters of age 35- 40 years old	float
female_40	Female population in 100 meters of age 40 – 45 years old	float
female_45	Female population in 100 meters of age 45 – 50 years old	float
female_50	Female population in 100 meters of age 50 years old	float
female_55	Female population in 100 meters of age 55 years old	float
female_60	Female population in 100 meters of age 60 years old	float
female_65	Female population in 100 meters of age 65 years old	float
female_70	Female population in 100 meters of age 70 years old	float
female_75	Female population in 100 meters of age 75 years old	float
female_80	Female population in 100 meters of age 80 years old	float
male_0	Male population in 100 meters of age 0 – 1 years old	float
male_1	Male population in 100 meters of age 1-5 years old	float
male_5	Male population in 100 meters of age 5-10 years old	float
male_10	Male population in 100 meters of age 10 – 15 years old	float
male_15	Male population in 100 meters of age 15 – 20 years old	float
male_20	Male population in 100 meters of age 20 – 25 years old	float
male_25	Male population in 100 meters of age 25 – 30 years old	float
male_30	Male population in 100 meters of age 30 – 35 years old	float
male_35	Male population in 100 meters of age 35- 40 years old	float
male_40	Male population in 100 meters of age 40 – 45 years old	float
male_45	Male population in 100 meters of age 45 – 50 years old	float
male_50	Male population in 100 meters of age 50 years old	float
male_55	Male population in 100 meters of age 55 years old	float
male_60	Male population in 100 meters of age 60 years old	float
male_65	Male population in 100 meters of age 65 years old	float
male_70	Male population in 100 meters of age 70 years old	float
male_75	Male population in 100 meters of age 75 years old	float
male_80	Male population in 100 meters of age 80 years old	float

Use Cases

Urban Planning for Elderly-Friendly Infrastructure

Utilize demographic data to identify areas with a high population of individuals aged 65 and above. Plan and design infrastructure enhancements such as accessible pathways, seating, and recreational facilities to cater to the needs of this age group.

Retail and Service Business Planning

Guide business planning by understanding local demographics. Determine the demand for specific products and services based on the age distribution in different areas, enabling businesses to cater to the unique preferences of residents.

Age-Driven Hospitality Services

Create unique hospitality experiences using demographic insights. Develop hotel packages, travel tours, and entertainment offerings that cater to the preferences of distinct age groups, ensuring memorable experiences for every guest.

Retail Location Optimization

Optimize store locations based on age distribution data. Choose prime retail spots in areas with a higher concentration of specific age groups, ensuring maximum foot traffic and tailored product offerings. View this data on interactive dashboard to assess population distribution and evaluate asset placement and new store opening