In 2023, the value of electricity consumption per household in Thailand amounted to 895 Thai baht. In that year, the total energy consumption per household in the country reached almost 2,600 Thai baht.

Residential customers use an average of about 1,000 kWh of electricity per month, with usage higher during hot summer months and lower in the winter. View tables show monthly average usage in kWh by month for residential customers starting in 2000. Tables include monthly fuel charges and electric bill amounts.

Iceland is by far the largest per capita consumer of electricity worldwide, averaging 53.9 megawatt-hours per person in 2023. This results from a combination of factors, such as low-cost electricity production, increased heating demand, and the presence of energy-intensive industries in the country. Norway, Qatar, and Canada were also some of the world's largest electricity consumers per capita that year. China is the leading overall power consumer Power-intensive industries, the purchasing power of the average citizen, household size, and general power efficiency standards all contribute to the amount of electricity that is consumed per person every year. However, in terms of total electricity consumption, a country's size and population can also play an important role. In 2023, the three most populous countries in the world, namely China, the United States, and India, were also the three largest electricity consumers. Global electricity consumption on the rise In 2023, net electricity consumption worldwide amounted to over 27,000 terawatt-hours, an increase of 30 percent in comparison to a decade earlier. When compared to 1980, global electricity consumption more than tripled. On the generation side, the world is still strongly dependent on fossil fuels. Despite the world's renewable energy capacity quintupling in the last decade, coal and gas combined still accounted for almost 60 percent of global electricity generation in 2023.

This table shows regional figures on the average consumption of energy (natural gas and electricity) of private dwellings broken down by type of dwelling and ownership for Nederland, group of provinces, provinces and municipalities. Besides, for total dwellings only, the share of heat distribution (district heating) has been added, because this is relevant for the interpretation of the height of the average consumption of natural gas.

Data available from: 2010

Status of the figures: All figures from 2010 - 2021 are definite. Figures of 2022 are provisional.

Changes as of October 2023: Provisional figures of 2022 have been added. Figures of 2021 have been updated. The category “Average consumption of electricity” is replaced by “Average supply of electricity” and a category “Average net supply of electricity” has been added.

When will new figures be published? A revision to the method of this statistic is currently underway, causing the table to be delayed. New figures will come in the 3rd quarter of the folowing year.

The East of England accounted for the highest average household electricity consumption in Great Britain in 2022. That year, it added up to 3,720 kilowatt-hours per household. In comparison, households in the North East of England had the lowest average consumption, at 2,906 kilowatt-hours per household. End user consumption of electricity in the UK Despite continual annual declines in consumption since 2005, households have remained the largest electricity end-users in the UK since 2005. In 2020, amidst lockdown measures following the coronavirus outbreak, the gap between domestic and industrial consumption grew even wider. In 2022, domestic electricity consumption in the UK amounted to 96 terawatt-hours, while industrial consumption recorded the lowest figure of the century, at some 85 terawatt-hours. Declining electricity consumption in the UK Electricity consumption in the UK has seen a dramatic decrease in the past two decades, at least partially related to increased efficiency in equipment and distribution. In 2022, consumption from all electricity suppliers in the UK stood at 275 terawatt-hours. Projections indicate that the UK's electricity consumption will resume a growing trend after 2025, to surpass 32 million tons of oil equivalent in 2040.

Iran Electricity Consumption: Household data was reported at 18,339.000 kWh mn in Jun 2018. This records an increase from the previous number of 16,260.000 kWh mn for Mar 2018. Iran Electricity Consumption: Household data is updated quarterly, averaging 15,589.000 kWh mn from Jun 2008 (Median) to Jun 2018, with 41 observations. The data reached an all-time high of 28,016.100 kWh mn in Sep 2017 and a record low of 12,262.000 kWh mn in Mar 2012. Iran Electricity Consumption: Household data remains active status in CEIC and is reported by Ministry of Energy. The data is categorized under Global Database’s Iran – Table IR.RB002: Electricity Generation and Consumption.

Hong Kong Electricity Consumption: CLP Power: Per Person data was reported at 5,397.000 kWh/Person mn in 2017. This records a decrease from the previous number of 5,451.000 kWh/Person mn for 2016. Hong Kong Electricity Consumption: CLP Power: Per Person data is updated yearly, averaging 5,072.000 kWh/Person mn from Dec 1989 (Median) to 2017, with 29 observations. The data reached an all-time high of 5,516.000 kWh/Person mn in 2014 and a record low of 3,618.000 kWh/Person mn in 1989. Hong Kong Electricity Consumption: CLP Power: Per Person data remains active status in CEIC and is reported by CLP Power Hong Kong Limited. The data is categorized under Global Database’s Hong Kong SAR – Table HK.RB001: Electricity Production & Consumption.

🏡 Household Energy Consumption - April 2025 (90,000 Records)

📌 Overview

This dataset presents detailed energy consumption records from various households over the month. With 90,000 rows and multiple features such as temperature, household size, air conditioning usage, and peak hour consumption, this dataset is perfect for performing time-series analysis, machine learning, and sustainability research.

📂 Dataset Summary

• Rows: 90,000
• Time Range: April 1, 2025 – April 30, 2025
• Data Granularity: Daily per household
• Location: Simulated global coverage
• Format: CSV (Comma-Separated Values)

📚 Libraries Used for Working with household_energy_consumption_2025.csv

🔍 1. Data Manipulation & Analysis

📊 2. Data Visualization

📈 3. Machine Learning / Modeling

🧹 4. Data Preprocessing

🧪 5. Model Evaluation

✅ These libraries provide a complete toolkit for performing data analysis, modeling, and visualization tasks efficiently.

📈 Potential Use Cases

This dataset is ideal for a wide variety of analytics and machine learning projects:

🔮 Forecasting & Time Series Analysis

• Predict future household energy consumption based on previous trends and weather conditions.
• Identify seasonal and daily consumption patterns.

💡 Energy Efficiency Analysis

• Analyze differences in energy consumption between households with and without air conditioning.
• Compare energy usage efficiency across varying household sizes.

🌡️ Climate Impact Studies

• Investigate how temperature affects electricity usage across households.
• Model the potential impact of climate change on residential energy demand.

🔌 Peak Load Management

• Build models to predict and manage energy demand during peak hours.
• Support research on smart grid technologies and dynamic pricing.

🧠 Machine Learning Projects

• Supervised learning (regression/classification) to predict energy consumption.
• Clustering households by usage patterns for targeted energy programs.
• Anomaly detection in energy usage for fault detection.

🛠️ Example Starter Projects

• Time-series forecasting using Facebook Prophet or ARIMA
• Regression modeling using XGBoost or LightGBM
• Classification of AC vs. non-AC household behavior
• Energy-saving recommendation systems
• Heatmaps of temperature vs. energy usage

The Ministry monitors national residential electricity costs using information about national electricity sales (essentially total electricity sales divided by the quantity of electricity supplied in kWh).

Dataset from Energy Market Authority. For more information, visit https://data.gov.sg/datasets/d_634194a40f36e5bc11a942ab0164fa9d/view

This table contains 1155 series, with data for years 2011-2019 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...); Type of dwelling (7 items: Single-detached; Double; Row or terrace; Duplex; ...); Energy type (4 items: Total, all energy types; Electricity; Natural gas; Heating oil); Energy consumption (4 items: Gigajoules; Gigajoules per household; Proportion of total energy; Number of households).

Abstract: Measurements of electric power consumption in one household with a one-minute sampling rate over a period of almost 4 years. Different electrical quantities and some sub-metering values are available.

Source: Georges Hebrail (georges.hebrail '@' edf.fr), Senior Researcher, EDF R&D, Clamart, France Alice Berard, TELECOM ParisTech Master of Engineering Internship at EDF R&D, Clamart, France

Data Set Information: This archive contains 2075259 measurements gathered in a house located in Sceaux (7km of Paris, France) between December 2006 and November 2010 (47 months). Notes:

(global_active_power*1000/60 - sub_metering_1 - sub_metering_2 - sub_metering_3) represents the active energy consumed every minute (in watt hour) in the household by electrical equipment not measured in sub-meterings 1, 2 and 3. The dataset contains some missing values in the measurements (nearly 1,25% of the rows). All calendar timestamps are present in the dataset but for some timestamps, the measurement values are missing: a missing value is represented by the absence of value between two consecutive semi-colon attribute separators. For instance, the dataset shows missing values on April 28, 2007.

Attribute Information:

date: Date in format dd/mm/yyyy time: time in format hh:mm:ss global_active_power: household global minute-averaged active power (in kilowatt) global_reactive_power: household global minute-averaged reactive power (in kilowatt) voltage: minute-averaged voltage (in volt) global_intensity: household global minute-averaged current intensity (in ampere) sub_metering_1: energy sub-metering No. 1 (in watt-hour of active energy). It corresponds to the kitchen, containing mainly a dishwasher, an oven and a microwave (hot plates are not electric but gas powered). sub_metering_2: energy sub-metering No. 2 (in watt-hour of active energy). It corresponds to the laundry room, containing a washing-machine, a tumble-drier, a refrigerator and a light. sub_metering_3: energy sub-metering No. 3 (in watt-hour of active energy). It corresponds to an electric water-heater and an air-conditioner.

Relevant Papers: N/A

Citation Request: This dataset is made available under the “Creative Commons Attribution 4.0 International (CC BY 4.0)” license

In 2019, household consumption of electricity per capita in China stood at about 756 kilowatt hours. This was a more than six-fold increase in the per capita household electricity consumption compared to 2000.

In 2021, the final electricity consumption of households in Sweden amounted to nearly 38 terawatt-hours. The household type which had the highest consumption was small houses, with more than 28.6 terawatt-hours recorded that year. Meanwhile, holiday houses accounted for less than 10 percent of the household electricity consumption in Sweden.

Detailed household load and solar generation in minutely to hourly resolution. This data package contains measured time series data for several small businesses and residential households relevant for household- or low-voltage-level power system modeling. The data includes solar power generation as well as electricity consumption (load) in a resolution up to single device consumption. The starting point for the time series, as well as data quality, varies between households, with gaps spanning from a few minutes to entire days. All measurement devices provided cumulative energy consumption/generation over time. Hence overall energy consumption/generation is retained, in case of data gaps due to communication problems. Measurements were conducted 1-minute intervals, with all data made available in an interpolated, uniform and regular time interval. All data gaps are either interpolated linearly, or filled with data of prior days. Additionally, data in 15 and 60-minute resolution is provided for compatibility with other time series data. Data processing is conducted in Jupyter Notebooks/Python/pandas.

CN: Electricity Consumption: per Capita: Residential: Average data was reported at 987.000 kWh in 2022. This records an increase from the previous number of 869.000 kWh for 2021. CN: Electricity Consumption: per Capita: Residential: Average data is updated yearly, averaging 126.527 kWh from Dec 1980 (Median) to 2022, with 43 observations. The data reached an all-time high of 987.000 kWh in 2022 and a record low of 10.721 kWh in 1980. CN: Electricity Consumption: per Capita: Residential: Average data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Energy Sector – Table CN.RBB: Electricity Consumption per Capita.

Nigeria Electricity Consumption: Average per Hour data was reported at 4,105.660 MWh in Dec 2024. This records an increase from the previous number of 4,000.240 MWh for Sep 2024. Nigeria Electricity Consumption: Average per Hour data is updated quarterly, averaging 2,976.960 MWh from Mar 2005 (Median) to Dec 2024, with 79 observations. The data reached an all-time high of 4,456.000 MWh in Sep 2015 and a record low of 1,300.000 MWh in Jun 2008. Nigeria Electricity Consumption: Average per Hour data remains active status in CEIC and is reported by Central Bank of Nigeria. The data is categorized under Global Database’s Nigeria – Table NG.RB002: Electricity Generation and Consumption.

Brazil Electricity Consumption: Household data was reported at 15,990.000 GWh in Feb 2025. This records an increase from the previous number of 15,637.000 GWh for Jan 2025. Brazil Electricity Consumption: Household data is updated monthly, averaging 6,642.500 GWh from Jan 1979 (Median) to Feb 2025, with 554 observations. The data reached an all-time high of 15,990.000 GWh in Feb 2025 and a record low of 1,647.000 GWh in Feb 1979. Brazil Electricity Consumption: Household data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Global Database’s Brazil – Table BR.RB001: Electricity Consumption. [COVID-19-IMPACT]

This statistic represents the household consumption of electricity per capita in Japan from the year 2000 to 2016. In 2016, household consumption of electricity per capita in Japan was about 2,108 kilowatts per hour.