Saudi Arabia Riyadh Grid Aggregation Dataset

Examine the energy dynamics of Riyadh's electric grid with our comprehensive dataset. Essential for energy analysts, policy makers, and urban planners.

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Riyadh's Electric Grid Analysis - Energy Consumption and Production

Get an in-depth understanding of Riyadh's electric grid. Our dataset offers essential data on energy consumption, production trends, and regional energy distribution, key for energy management and policy development.

7922

Total Number of records

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Increased by 4.23% year-on-year

Yearly Increase in Energy Consumption

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31% (Western Region) - 30% (Central Region)

Regional Energy Consumption Distribution

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7676

Grocery Stores > 10

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Download a Sample of the Saudi Arabia Riyadh Grid Aggregation Dataset

Explore key energy consumption and production data in Riyadh's electric grid. Our sample dataset provides insights into regional energy distribution and trends, valuable for strategic energy planning.

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Key Variables

Name

Description

Type

gas_stations_count

Count of gas stations within the area

Integer

mean_transaction_area

Average area of the properties transacted

Float

mean_cost_per_meter

Average cost per square meter in property transactions

Float

score

General score based on multiple factors (could be livability, safety, etc.)

Float

mean_transaction_price

Average price of the properties transacted

Float

transaction_count

Count of transactions (could be sales or rentals) in the area

Integer

sum_other_dwellings

Number of dwellings not included in other categories

Integer

sum_community_commercial_buildings

Total number of commercial buildings for community use

Integer

sum_workspace_commercial_buildings

Total number of commercial buildings used as workspaces

Integer

sum_public_commercial_buildings

Total number of public commercial buildings

Integer

sum_rented_residential_houses

Number of rented residential houses

Integer

sum_other_residential_houses

Number of residential houses under other forms of tenure

Integer

sum_privately_owned_residential_houses

Number of privately owned residential houses

Integer

sum_owned_residential_houses

Number of owned residential houses

Integer

sum_commercial_dwellings

Number of commercial dwellings in the area

Integer

sum_residential_dwellings

Number of residential dwellings in the area

Integer

sum_total_dwellings

Total number of dwellings in the area

Integer

mean_median_age

Mean median age of the population in the area

Float

geo_level

Level of geographic aggregation or detail

String

sum_total_population

Total population within the area

Integer

mean_population_density

Average density of the population in the area

Float

lng

Longitude coordinate for the geographic location

Float

lat

Latitude coordinate for the geographic location

Float

sequence

Order in a sequence or series

Integer

record_id

Unique identifier for the data record

String

place_id

Identifier for the place as per a given system

String

most_appeared_tags

Tags that occur most frequently in the area's data

String

average_reviews_no

Average number of reviews for the listed services or locations

Integer

traffic_score

Score indicating the level of traffic in the area

Float

average_price_range

The common price range across services or products

String

geo_id

Unique identifier for a geographic location

String

groceries_count

Total number of grocery stores within the area

Integer

average_rate

Average rating for a service or location

Float

Use Cases

How can this dataset benefit you?

Energy Demand Forecasting

Utilize the dataset for accurate forecasting of energy demand, aiding in efficient grid management and resource allocation.

Urban Infrastructure Planning

Leverage this dataset in urban planning and infrastructure development, ensuring alignment with energy consumption trends.

Policy Development

Employ the dataset for data-driven policy making in energy distribution and conservation strategies.

Yearly Increase in Energy Consumption

Saudi Arabia’s electrical energy consumption increased by 4.23% year-on-year to 301,600 GWh in 2021, reflecting a steady growth in energy demand.

Regional Energy Consumption Distribution

In Saudi Arabia, the Western Region accounted for the largest share of electrical energy consumption with 93,920 GWh (31%), followed closely by the Central Region with 91,470 GWh (30%).

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Frequently Asked Questions

Find answers to commonly asked questions about our spatial analyst platform.

How frequently is the Riyadh Grid Aggregation dataset updated?

This dataset is updated annually to reflect the most recent changes and trends in energy consumption and production in Riyadh.

Does this dataset include renewable energy sources within the grid?

Yes, it includes data on various energy sources, including renewable energy contributions, providing a comprehensive view of the energy mix in Riyadh's grid.

Can this dataset assist in predicting future energy demands in Riyadh?

Absolutely. It's designed to aid in forecasting future energy demands by analyzing historical consumption and production patterns, essential for efficient energy planning and resource allocation.