Electricity consumption in India has grown steadily over the past decades and amounted to 1,407 terawatt-hours in 2023. The industrial sector accounted for the largest electricity consumption in the country, followed by households.

India Electricity Consumption: NU: Mining & Quarrying data was reported at 960.900 GWh in 2017. This records a decrease from the previous number of 972.090 GWh for 2016. India Electricity Consumption: NU: Mining & Quarrying data is updated yearly, averaging 854.130 GWh from Mar 1996 (Median) to 2017, with 22 observations. The data reached an all-time high of 2,998.270 GWh in 2012 and a record low of 147.620 GWh in 1996. India Electricity Consumption: NU: Mining & Quarrying data remains active status in CEIC and is reported by Central Electricity Authority. The data is categorized under Global Database’s India – Table IN.RBC015: Electricity: Gross Generation: Non Utilities: by Industry .

The industry sector accounted for the highest share of energy consumption across India in fiscal year 2023, at 42 percent. The domestic sector followed, ranking second at 26 percent. By comparison, traction and railways accounted for two percent of the total electricity consumption in India. Electricity penetration in India Despite the growth in electricity consumption in the country since the beginning of the century, around two percent of Indian households had no access to electricity in 2020. Many people use traditional fuels such as wood or agricultural residues for cooking and heating purposes. In 2022, less than 90 percent of the schools in India had access to electricity. The power sector in India India's rapidly growing economy is one of the nation's leading drivers of electricity demand. Accordingly, India ranks amongst the leading electricity-producing countries worldwide, just below China and the United States. In 2022, India generated almost 1.9 petawatt-hours of electricity and about 20 percent of it came from renewable sources.

India Electricity: Consumption: Utilities: Industry data was reported at 595,000.000 GWh in 2023. This records an increase from the previous number of 556,481.000 GWh for 2022. India Electricity: Consumption: Utilities: Industry data is updated yearly, averaging 104,693.000 GWh from Mar 1971 (Median) to 2023, with 53 observations. The data reached an all-time high of 595,000.000 GWh in 2023 and a record low of 29,579.000 GWh in 1971. India Electricity: Consumption: Utilities: Industry data remains active status in CEIC and is reported by Ministry of Statistics and Programme Implementation. The data is categorized under Global Database’s India – Table IN.RBE002: Electricity: Consumption: Utilities.

Primary energy consumption in India amounted to some 39 exajoules in 2023. This was an increase of roughly seven percent in comparison to the previous year. Between 1998 and 2023, figures increased by more than 27 exajoules, reaching a consumption peak in the latter year.

This dataset contains the All-India, Year and sector-wise Electricity-intensity of major energy-consuming sectors. It is used to understand how efficiently the technologies are being used in different sectors to improve the efficiency of electricty consumption. It is calculated as the ratio of Amount of electricity consumed against a sector and the Gross Value Addition (GVA) of that sector. Note: Data for 2022-23 is Provisional.

India Electricity: Consumption: Utilities: Traction and Railways data was reported at 25,000.000 GWh in 2023. This records an increase from the previous number of 21,935.000 GWh for 2022. India Electricity: Consumption: Utilities: Traction and Railways data is updated yearly, averaging 6,534.000 GWh from Mar 1971 (Median) to 2023, with 53 observations. The data reached an all-time high of 25,000.000 GWh in 2023 and a record low of 1,364.000 GWh in 1971. India Electricity: Consumption: Utilities: Traction and Railways data remains active status in CEIC and is reported by Ministry of Statistics and Programme Implementation. The data is categorized under Global Database’s India – Table IN.RBE002: Electricity: Consumption: Utilities.

The India Lights platform shows light output at night for 20 years for 600,000 villages across India. The Defense Meteorological Satellite Program (DMSP) has taken pictures of the Earth every night from 1993 to 2013. Researchers at the University of Michigan, in collaboration with the World Bank, used the DMSP images to extract the data you see on the India Lights platform. Each point you see on the map represents the light output of a specific village at a specific point in time. On the district level, the map also allows you to filter to view villages that have participated in India’s flagship electrification program. This tremendous trove of data can be used to look at changes in light output, which can be used to complement research about electrification in the country. About the Data: The DMSP raster images have a resolution of 30 arc-seconds, equal to roughly 1 square kilometer at the equator. Each pixel of the image is assigned a number on a relative scale from 0 to 63, with 0 indicating no light output and 63 indicating the highest level of output. This number is relative and may change depending on the gain settings of the satellite’s sensor, which constantly adjusts to current conditions as it takes pictures throughout the day and at night. Methodology To derive a single measurement, the light output values were extracted from the raster image for each date for the pixels that correspond to each village's approximate latitude and longitude coordinates. We then processed the data through a series of filtering and aggregation steps. First, we filtered out data with too much cloud cover and solar glare, according to recommendations from the National Oceanic and Atmospheric Administration (NOAA). We aggregated the resulting 4.4 billion data points by taking the median measurement for each village over the course of a month. We adjusted for differences among satellites using a multiple regression on year and satellite to isolate the effect of each satellite. To analyze data on the state and district level, we also determined the median village light output within each administrative boundary for each month in the twenty-year time span. These monthly aggregates for each village, district, and state are the data that we have made accessible through the API. To generate the map and light curve visualizations that are presented on this site, we performed some additional data processing. For the light curves, we used a rolling average to smooth out the noise due to wide fluctuations inherent in satellite measurements. For the map, we took a random sample of 10% of the villages, stratified over districts to ensure good coverage across regions of varying village density. Acknowledgments The India Lights project is a collaboration between Development Seed, The World Bank, and Dr. Brian Min at the University of Michigan. •Satellite base map © Mapbox. •India village locations derived from India VillageMap © 2011-2015 ML Infomap. •India population data and district boundaries © 2011-2015 ML Infomap. •Data for reference map of Uttar Pradesh, India, from Natural Earth Data •Banerjee, Sudeshna Ghosh; Barnes, Douglas; Singh, Bipul; Mayer, Kristy; Samad, Hussain. 2014. Power for all : electricity access challenge in India. A World Bank study. Washington, DC ; World Bank Group. •Hsu, Feng-Chi, Kimberly Baugh, Tilottama Ghosh, Mikhail Zhizhin, and Christopher Elvidge. "DMSP-OLS Radiance Calibrated Nighttime Lights Time Series with Intercalibration." Remote Sensing 7.2 (2015): 1855-876. Web. •Min, Brian. Monitoring Rural Electrification by Satellite. Tech. World Bank, 30 Dec. 2014. Web. •Min, Brian. Power and the Vote: Elections and Electricity in the Developing World. New York and Cambridge: Cambridge University Press. 2015. •Min, Brian, and Kwawu Mensan Gaba. Tracking Electrification in Vietnam Using Nighttime Lights. Remote Sensing 6.10 (2014): 9511-529. •Min, Brian, and Kwawu Mensan Gaba, Ousmane Fall Sarr, Alassane Agalassou. Detection of Rural Electrification in Africa using DMSP-OLS Night Lights Imagery. International Journal of Remote Sensing 34.22 (2013):8118-8141. Disclaimer Country borders or names do not necessarily reflect the World Bank Group's official position. The map is for illustrative purposes and does not imply the expression of any opinion on the part of the World Bank, concerning the legal status of any country or territory or concerning the delimitation of frontiers or boundaries.

The India Residential Energy Survey (IRES) 2020 is the first-ever pan-India survey on the state of energy access, consumption, and energy efficiency in Indian homes. It covers nearly 15,000 households in 1210 villages and 614 wards in 152 districts across 21 states. Conducted in 2019 in collaboration with the Initiative for Sustainable Energy Policy (ISEP). Using the nationally representative IRES, we can analyse the assessment of the quality and reliability of power supply and consumer satisfaction with electricity services. Further, it can be used to analyse the consumers' perception on how distribution companies (discoms) handle the metering, billing, and payment collection (MBC) process across households. It can be used to proposes strategies to fill the remaining gaps to realise the goal of universal, affordable, and reliable electricity access among all Indian households.

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

The world economy needs ever-increasing amounts of energy to sustain economic growth, raise living standards, and reduce poverty. But today's trends in energy use are not sustainable. As the world's population grows and economies become more industrialized, nonrenewable energy sources will become scarcer and more costly. Data here on energy production, use, dependency, and efficiency are compiled by the World Bank from the International Energy Agency and the Carbon Dioxide Information Analysis Center.

This dataverse contains the complete ACCESS data set on rural energy access in India and a replication package. To cite the dataset: Aklin, Michaël; Cheng, Chao-yo; Ganesan, Karthik; Jain, Abhishek; Urpelainen, Johannes; Council on Energy, Environment and Water. Access to Clean Cooking Energy and Electricity: Survey of States in India (ACCESS). 2016. Harvard Dataverse, V1. http://dx.doi.org/10.7910/DVN/0NV9LF. To cite the article: Aklin, Michaël, Chao-yo Cheng, Johannes Urpelainen, Karthik Ganesan, and Abhishek Jain. 2016. "Factors Affecting Household Satisfaction with Electricity Supply in Rural India." Nature Energy 1(16170). DOI: 10.1038/nenergy.2016.170. (http://www.nature.com/articles/nenergy2016170) You can use the data for any non-commercial purposes, provided you include a complete citation of the dataset (and, if applicable, the article).

The Global Wind Power Tracker (GWPT) is a worldwide dataset of utility-scale wind facilities. It includes wind farm phases with capacities of 10 megawatts (MW) or more. A wind project phase is generally defined as a group of one or more wind turbines that are installed under one permit, one power purchase agreement, and typically come online at the same time. The GWPT catalogs every wind farm phase at this capacity threshold of any status, including operating, announced, under development, under construction, shelved, cancelled, mothballed, or retired. Each wind farm included in the tracker is linked to a wiki page on the GEM wiki.

Architecture

Global Energy Monitor’s Global Wind Power Tracker uses a two-level system for organizing information, consisting of both a database and wiki pages with further information. The database tracks individual wind farm phases and includes information such as project owner, status, installation type, and location. A wiki page for each wind farm is created within the Global Energy Monitor wiki. The database and wiki pages are updated annually.

Status Categories

• Announced: Proposed projects that have been described in corporate or government plans but have not yet taken concrete steps such as applying for permits.
• Development: Projects that are actively moving forward in seeking governmental approvals, land rights, or financing.
• Construction: Site preparation and equipment installation are underway.
• Operating: The project has been formally commissioned; commercial operation has begun.
• Shelved: Suspension of operation has been announced, or no progress has been observed for at least two years.
• Cancelled: A cancellation announcement has been made, or no progress has been observed for at least four years.
• Retired: The project has been decommissioned.
• Mothballed: The project is disused, but not dismantled.

Research Process

The Global Wind Power Tracker data set draws on various public data sources, including:

• Government data on individual power wind farms (such as India Central Electricity Authority’s “Plant Wise Details of All India Renewable Energy Projects” and the U.S. EIA 860 Electric Generator Inventory), country energy and resource plans, and government websites tracking wind farm permits and applications;
• Reports by power companies (both state-owned and private);
• News and media reports;
• Local non-governmental organizations tracking wind farms or permits.

Global Energy Monitor researchers perform data validation by comparing our dataset against proprietary and public data such as Platts World Energy Power Plant database and the World Resource Institute’s Global Power Plant Database, as well as various company and government sources.

Wiki Pages

For each wind farm, a wiki page is created on Global Energy Monitor’s wiki. Under standard wiki convention, all information is linked to a publicly-accessible published reference, such as a news article, company or government report, or a regulatory permit. In order to ensure data integrity in the open-access wiki environment, Global Energy Monitor researchers review all edits of project wiki pages.

Mapping

To allow easy public access to the results, Global Energy Monitor worked with GreenInfo Network to develop a map-based and table-based interface using the Leaflet Open-Source JavaScript library. In the case of exact coordinates, locations have been visually determined using Google Maps, Google Earth, Wikimapia, or OpenStreetMap. For proposed projects, exact locations, if available, are from permit applications, or company or government documentation. If the location of a wind farm or proposal is not known, Global Energy Monitor identifies the most accurate location possible based on available information.

In 2024, the power load of data center industry in India was estimated to reach 1,369 megawatts. It would be a huge increase in comparison with 2021. In India, around half of the power load of data center were located in Mumbai.

During the financial year 2023, the average cost of state electricity supplied in India was 7.11 Indian rupees per kilowatt-hour. Furthermore, that same year, the South Asian country was the third largest electricity producer in the world. Short-term transactions on the rise The electricity market in India has seen significant growth in short-term transactions and power exchange activity. During the fiscal year 2023, the volume of short-term electricity transactions exceeded 194 terawatt-hours, which marked a four percent increase from the previous year. During the same time, electricity transacted through power exchanges was approximately 103 terawatt-hours, the highest number ever recorded. These trends indicate a more dynamic and flexible electricity market across the country. Shift towards renewable energy In the fiscal year 2023, over 8.25 million Renewable Energy Certificates were traded on power exchanges, highlighting the country's commitment to sustainable energy sources. Moreover, India transitioned from being a net importer of electricity to a net exporter of electricity in 2023, exporting around 11 terawatt-hours. The shift shows the success of policies aimed at enhancing India's energy self-reliance and its potential as a regional power supplier. 

Key information about India Electricity Production

• Electricity Production in India reached 121,073 GWh in Feb 2025, compared with 126,337 GWh in the previous month.
• Electricity Production data of India is updated monthly averaging at 53,760 GWh from Sep 1987 to Feb 2025.
• The data reached an all-time high of 145,046 GWh in May 2024 and a record low of 16,318 GWh in Nov 1987.

This dataset provides values for ELECTRICITY PRICE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Climate change is expected to hit developing countries the hardest. Its effects—higher temperatures, changes in precipitation patterns, rising sea levels, and more frequent weather-related disasters—pose risks for agriculture, food, and water supplies. At stake are recent gains in the fight against poverty, hunger and disease, and the lives and livelihoods of billions of people in developing countries. Addressing climate change requires unprecedented global cooperation across borders. The World Bank Group is helping support developing countries and contributing to a global solution, while tailoring our approach to the differing needs of developing country partners. Data here cover climate systems, exposure to climate impacts, resilience, greenhouse gas emissions, and energy use. Other indicators relevant to climate change are found under other data pages, particularly Environment, Agriculture & Rural Development, Energy & Mining, Health, Infrastructure, Poverty, and Urban Development.

Replication Data for: "Geographic and socio-economic barriers to rural electrification: New evidence from Indian villages". Citation for the article is the following: Dugoua, Eugenie and Liu, Ruinan and Urpelainen, Johannes, Geographic and Socio-Economic Barriers to Rural Electrification: New Evidence from Indian Villages (March 22, 2017). Energy Policy, Forthcoming. Available at SSRN: https://ssrn.com/abstract=2939880 Abstract: The International Energy Agency estimates that more than a billion people remain without household electricity access. However, countries such as India have recently made major progress in rural electrification. Who has benefited from these achievements? We focus on 714 villages in six energy-poor states of northern and eastern India to investigate trends in electricity access. We use data both from the 2011 Census of India and an original energy access survey conducted in 2014 and 2015. During the three years that separated the surveys, distance to the nearest town and land area lose their power as predictors of the percentage of households in the village that has access to electricity. In this regard, the Indian government's flagship rural electrification program seems to have managed to overcome a major obstacle to grid extension. On the other hand, socio-economic inequalities between villages related to caste status and household expenditure remain strong predictors. These findings highlight the importance of socio-economic barriers to rural electricity access and alleviate concerns about remoteness and population density as obstacles to grid extension. To access the full ACCESS dataset: http://dx.doi.org/10.7910/DVN/0NV9LF. If you want to use the full ACCESS dataset, please, cite both of the following: Aklin, Michaël; Cheng, Chao-yo; Ganesan, Karthik; Jain, Abhishek; Urpelainen, Johannes; Council on Energy, Environment and Water. Access to Clean Cooking Energy and Electricity: Survey of States in India (ACCESS). 2016. Harvard Dataverse, V1. http://dx.doi.org/10.7910/DVN/0NV9LF. Aklin, Michaël, Chao-yo Cheng, Johannes Urpelainen, Karthik Ganesan, and Abhishek Jain. 2016. "Factors Affecting Household Satisfaction with Electricity Supply in Rural India." Nature Energy 1(16170). DOI: 10.1038/nenergy.2016.170. (http://www.nature.com/articles/nenergy2016170)

This dataset contains information about India's coal power plants from 1960.Data from Sourcewatch.

Contains information about each delivery technology for US, Romania, Jamaica and India. base year: 2010. This information is used as input in the Model for Electricity Technology Assessment (META) tool. META yields levelized costs for generation, transmission, and distribution for each electricity supply technology option from a relatively few input parameters. One of the features of META is that it allows for integration of environmental externalities, such as local pollution and greenhouse gas emissions. Users can easily see the cost of adding or expanding generation from a particular power source if, for example, a carbon price is factored in.