Google’s energy consumption has increased over the last few years, reaching 25.9 terawatt hours in 2023, up from 12.8 terawatt hours in 2019. The company has made efforts to make its data centers more efficient through customized high-performance servers, using smart temperature and lighting, advanced cooling techniques, and machine learning. Datacenters and energy Through its operations, Google pursues a more sustainable impact on the environment by creating efficient data centers that use less energy than the average, transitioning towards renewable energy, creating sustainable workplaces, and providing its users with the technological means towards a cleaner future for the future generations. Through its efficient data centers, Google has also managed to divert waste from its operations away from landfills. Reducing Google’s carbon footprint Google’s clean energy efforts is also related to their efforts to reduce their carbon footprint. Since their commitment to using 100 percent renewable energy, the company has met their targets largely through solar and wind energy power purchase agreements and buying renewable power from utilities. Google is one of the largest corporate purchasers of renewable energy in the world.

The City and County Energy Profiles lookup table provides modeled electricity and natural gas consumption and expenditures, on-road vehicle fuel consumption, vehicle miles traveled, and associated emissions for each U.S. city and county. Please note this data is modeled and more precise data may be available from regional, state, or other sources. The modeling approach for electricity and natural gas is described in Sector-Specific Methodologies for Subnational Energy Modeling: https://www.nrel.gov/docs/fy19osti/72748.pdf. This data is part of a suite of state and local energy profile data available at the "State and Local Energy Profile Data Suite" link below and complements the wealth of data, maps, and charts on the State and Local Planning for Energy (SLOPE) platform, available at the "Explore State and Local Energy Data on SLOPE" link below. Examples of how to use the data to inform energy planning can be found at the "Example Uses" link below.

Over the past half a century, the world's electricity consumption has continuously grown, reaching approximately 27,000 terawatt-hours by 2023. Between 1980 and 2023, electricity consumption more than tripled, while the global population reached eight billion people. Growth in industrialization and electricity access across the globe has further boosted electricity demand. China's economic rise and growth in global power use Since 2000, China's GDP has recorded an astonishing 15-fold increase, turning it into the second-largest global economy, behind only the United States. To fuel the development of its billion-strong population and various manufacturing industries, China requires more energy than any other country. As a result, it has become the largest electricity consumer in the world. Electricity consumption per capita In terms of per capita electricity consumption, China and other BRIC countries are still vastly outpaced by developed economies with smaller population sizes. Iceland, with a population of less than half a million inhabitants, consumes by far the most electricity per person in the world. Norway, Qatar, Canada, and the United States also have among the highest consumption rates. Multiple contributing factors, such as the existence of power-intensive industries, household sizes, living situations, appliance and efficiency standards, and access to alternative heating fuels, determine the amount of electricity the average person requires in each country.

This table contains 165 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; ...) ; 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).

Germany's net electricity consumption amounted to approximately 475.92 terawatt-hours in 2023. In comparison to the previous year, this figure represents a decrease of roughly three percent. That same year, Germany's gross electricity generation stood at 520.5 terawatt-hours.

Time series data for the statistic Getting electricity: Price of electricity (US cents per kWh) (DB16-20 methodology) and country Finland. Indicator Definition:The price of electricity is measured in U.S. cents per kWh. A monthly electricity consumption is assumed, for which a bill is then computed for a warehouse based in the largest business city of the economy for the month of March. The bill is then expressed back as a unit of kWh. The index is computed based on the methodology in the DB16-20 studies.

Metadata dump(1.2 GB): metadata.tar.gz

Triples dump (125 MB): triples.ttl

Harmonized data dump(80 GB): harmonized.tar.gz

REDD.pkl (300 MB) sample harmonized data for the REDD datset

Harmonized data dump contains all the household electricity consumption datasets Metadata dump contains metadata needed to run our pre-processing scripts. REDD.pkl contains 6 households from the REDD dataset and can be used as a sample of what is in the harmonized data dump triples.ttl contains the Knowledge graph generated from the household electricity consumption data and enriched with metadata stored as RDF triples

Scripts to process the data and instructions are available on our GitHub repository (https://github.com/sensorlab/energy-knowledge-graph)

More information about the dataset is available in our paper (TODO link)

Pakistan Electricity Consumption: Total data was reported at 110,764.000 GWh in 2024. This records a decrease from the previous number of 114,300.000 GWh for 2023. Pakistan Electricity Consumption: Total data is updated yearly, averaging 71,541.500 GWh from Jun 1991 (Median) to 2024, with 34 observations. The data reached an all-time high of 116,816.000 GWh in 2021 and a record low of 31,534.000 GWh in 1991. Pakistan Electricity Consumption: Total data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s Pakistan – Table PK.RB006: Electricity Generation and Consumption.

This table shows the supply of electricity. Consumption of electricity is calculated from the supply variables. The supply of electricity primarily includes production plus imports minus exports. The majority of the electricity produced is supplied to the public electricity grid by, for example, power stations and wind turbines. A smaller part is generated by companies themselves for the benefit of their own business processes. For example, many greenhouse companies generate their own electricity for the lighting of their greenhouses.

The net production is determined as gross production minus the own consumption of electricity. Own consumption is the amount of electricity that a producer or installation consumes during electricity production. The net production is broken down in this table into the following energy sources from which the electricity is produced: nuclear energy, coal, petroleum products, natural gas, biomass, other fuels (non-renewable), hydro power, wind energy, solar photovoltaic and other sources.

Imports and exports are further broken down by country of origin or destination.

The total net consumption of electricity in the Netherlands is calculated as the net production plus imports minus exports and distribution losses.

Data available: Annual figures are available from 1929 onwards. Monthly figures on total electricity production, import and export are available from 1976. Full data per month is available from 2015.

Status of the figures: - All figures up to and including reporting year 2022 are definite. - Figures for 2023 and 2024 are revised provisional. - Figures for 2025 are provisional.

Changes as of August 27th 2025: Figures added for June 2025.

Changes as of July 28th 2025: Figures added for May 2025.

Changes as of July 2025: Compiling figures on solar electricity took more time than scheduled. Consequently, not all StatLine tables on energy contain the most recent 2024 data on production for solar electricity. This table contains the outdated data from June 2025. The most recent figures are 5 percent higher for 2024 solar electricity production. These figures are in these two tables (in Dutch): - StatLine - Zonnestroom; vermogen en vermogensklasse, bedrijven en woningen, regio - StatLine - Hernieuwbare energie; zonnestroom, windenergie, RES-regio Next update is scheduled in November 2025. From that moment all figures will be fully consistent again. We apologize for the inconvenience.

Changes as of June 30th 2025: Figures added for April 2025.

Changes as of June 16th 2025: Figures added for 2024 have been updated.

Changes as of May 23rd 2025: Figures added for March 2025.

When will new figures be published? Provisional figures: the second month after the end of the reporting period. Revised provisional figures: June of the year following the reporting year. Definite figures: not later than November of the second following year.

Graph and download economic data for Average Price: Electricity per Kilowatt-Hour in U.S. City Average (APU000072610) from Nov 1978 to Sep 2025 about electricity, energy, retail, price, and USA.

Time series data for the statistic Getting electricity: Price of electricity (US cents per kWh) (DB16-20 methodology) and country Sweden. Indicator Definition:The price of electricity is measured in U.S. cents per kWh. A monthly electricity consumption is assumed, for which a bill is then computed for a warehouse based in the largest business city of the economy for the month of March. The bill is then expressed back as a unit of kWh. The index is computed based on the methodology in the DB16-20 studies.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Electricity in Miami-Fort Lauderdale-West Palm Beach, FL (CBSA) (CUURA320SEHF01) from Nov 1977 to Dec 2024 about Miami, electricity, FL, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

Data by city showing energy contribution to greenhouse gas emissions in the County. This data is part of the Regionally Integrated Climate Action Planning Suite (RICAPS) program.

Each city in San Mateo County has the opportunity to develop its own Climate Action Plan (CAP) using tools developed by C/CAG in conjunction with DNV KEMA https://www.dnvgl.com/ and Hara. http://www.verisae.com/default.aspx. This project was funded by grants from the Bay Area Air Quality Management District (BAAQMD) and Pacific Gas and Electric Company (PG&E). Climate Action Plans developed from these tools will meet BAAQMD's California Environmental Quality Act (CEQA) guidelines for a Qualified Greenhouse Gas Reduction Strategy.

For more information, please see the RICAPS site: http://www.smcenergywatch.com/progress_report.html

Data by city showing energy contribution to greenhouse gas emissions in the County. This data is part of the Regionally Integrated Climate Action Planning Suite (RICAPS) program.

Each city in San Mateo County has the opportunity to develop its own Climate Action Plan (CAP) using tools developed by C/CAG in conjunction with DNV KEMA https://www.dnvgl.com/ and Hara. http://www.verisae.com/default.aspx. This project was funded by grants from the Bay Area Air Quality Management District (BAAQMD) and Pacific Gas and Electric Company (PG&E). Climate Action Plans developed from these tools will meet BAAQMD's California Environmental Quality Act (CEQA) guidelines for a Qualified Greenhouse Gas Reduction Strategy.

For more information, please see the RICAPS site: http://www.smcenergywatch.com/progress_report.html

Graph and download economic data for Personal consumption expenditures: Energy goods and services (DNRGRC1M027SBEA) from Jan 1959 to Aug 2025 about energy, PCE, consumption expenditures, consumption, personal, goods, services, and USA.

Data by city showing energy contribution to greenhouse gas emissions in the County. This data is part of the Regionally Integrated Climate Action Planning Suite (RICAPS) program.

Each city in San Mateo County has the opportunity to develop its own Climate Action Plan (CAP) using tools developed by C/CAG in conjunction with DNV KEMA https://www.dnvgl.com/ and Hara. http://www.verisae.com/default.aspx. This project was funded by grants from the Bay Area Air Quality Management District (BAAQMD) and Pacific Gas and Electric Company (PG&E). Climate Action Plans developed from these tools will meet BAAQMD's California Environmental Quality Act (CEQA) guidelines for a Qualified Greenhouse Gas Reduction Strategy.

For more information, please see the RICAPS site: http://www.smcenergywatch.com/progress_report.html

Graph and download economic data for Average Price: Electricity per Kilowatt-Hour in Houston-The Woodlands-Sugar Land, TX (CBSA) (APUS37B72610) from Nov 1978 to Dec 2024 about Houston, electricity, energy, urban, TX, retail, price, and USA.