The Population Exposure Estimates in Proximity to Nuclear Power Plants, Locations data set combines information from a global data set developed by Declan Butler of Nature News and the Power Reactor Information System (PRIS), an up-to-date database of nuclear reactors maintained by the International Atomic Energy Agency (IAEA). The locations of nuclear reactors around the world are represented as point features associated with reactor specification and performance history attributes as of March 2012.

The Global Power Plant Database is a comprehensive, open source database of power plants around the world. It centralizes power plant data to make it easier to navigate, compare and draw insights. Each power plant is geolocated and entries contain information on plant capacity, generation, ownership, and fuel type. As …

The Global Power Plant Database is a comprehensive, open source database of power plants around the world. It centralizes power plant data to make it easier to navigate, compare and draw insights for one’s own analysis. The database covers approximately 35,000 power plants from 167 countries and includes thermal plants (e.g. coal, gas, oil, nuclear, biomass, waste, geothermal) and renewables (e.g. hydro, wind, solar). Each power plant is geolocated and entries contain information on plant capacity, generation, ownership, and fuel type. It will be continuously updated as data becomes available.

This dataset represents the location of nuclear power stations around the world in 2011. The dataset includes power plants that are not yet online. Information is supplied about the type of reactor (Boiling Water, Fast Breeder, Gas Cooled and so on), the power output and the projected power output where the plant, or a reactor at a plant, is not yet online. In addition, a link to the wikipidea page for the power station is provided where it is available. Also, a KMZ file is provided which has these links embedded in it. Example maps are included in the zip to help explain what information the dataset holds. The shapefile supplied here is derived from the KMZ file which is also included. The source of the KMZ file is: http://maptd.com/worldwide-map-of-nuclear-power-stations-and-earthquake-zones/ but it is unclear if the data was sourced directly from the IEAE or from the following blog http://declanbutler.info/blog/. Either way, the original source of the data is undoubtedly the IEAE http://www.iaea.org/programmes/a2/. To convert the data to shapefile required extensive data manipulation which was carried out in textpad and ArcGIS. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2011-04-01 and migrated to Edinburgh DataShare on 2017-02-21.

This interactive dashboard offers a comprehensive overview of nuclear power plants around the world. It visualizes the number and location of active nuclear facilities, giving users insights into the global spread of nuclear energy. Whether you're a researcher, student, or simply curious, this tool makes complex data easy to understand.

The map is free to explore with a basic Spotzi account. No subscription is required — simply sign up and start analyzing the data right away. It's a powerful resource for anyone interested in global energy infrastructure.

The Population Exposure Estimates in Proximity to Nuclear Power Plants, Country-Level Aggregates data set consists of country-level estimates of total, urban, and rural populations and land area, country-wide, that are in proximity to a nuclear power plant. This data set was created using a global data set of point locations of nuclear power plants, with buffer zones at 30km, 75km, 150km, 300km, 600km, and 1200km, and the Global Population Count Grid Time Series Estimates, Version 1 to estimate the population within each buffer zone for the years 1990, 2000, and 2010. Global Rural-Urban Mapping Project, Version 1 (GRUMPv1) Land and Geographic Unit Area Grids were used to estimate land area within each buffer zone. The GRUMPv1 Urban Extents Grid was used to further delineate population and land area estimates within urban and rural areas. All grids used for population, land area, and urban mask were of 1 km (30 arc-second) resolution.

*Reactor cost data for recently constructed reactors was collected from official press releases. When costs were only given as a lumped sum for multiple units at a plant, the cost for a single unit was calculated by multiplying the total plant cost by the power output of the unit relative to the total plant power output.†Only specific cost data for the Ringhals NPP and Oskarshamn NPP was found [11]Nuclear power plant construction time and cost comparison [11] [16] [12].

Data collected and prepared for a project of the World Bank Group Power Transmission Project in Support of the Energy Sector Reform & Development Program in Ukraine. This data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy. The PDF map can be viewed on the last page of report attached. To learn more, please visit http://projects.worldbank.org/P096207/power-transmission-project-support...

Ukraine Power Plants Capacity: Nuclear Power Plants data was reported at 13,835.000 kW th in 2015. This stayed constant from the previous number of 13,835.000 kW th for 2014. Ukraine Power Plants Capacity: Nuclear Power Plants data is updated yearly, averaging 13,835.000 kW th from Dec 2011 (Median) to 2015, with 5 observations. The data reached an all-time high of 13,835.000 kW th in 2015 and a record low of 13,835.000 kW th in 2015. Ukraine Power Plants Capacity: Nuclear Power Plants data remains active status in CEIC and is reported by State Statistics Service of Ukraine. The data is categorized under Global Database’s Ukraine – Table UA.RB001: Power Plant Capacity.

Context

What are the biggest power plants around the world, where are they located, and which fuel types are they operating?

Content

Based on the annual ranking of the top 2000 public companies in the world compiled by World Resources Institute magazine, I have created this dataset. It covers approximately 30,000 power plants from 164 countries and includes thermal plants (e.g. coal, gas, oil, nuclear, biomass, waste, geothermal) and renewables (e.g. hydro, wind, solar).

This layer contains over 34,000 power plant locations in hundreds of countries around the globe. Click on each power plant to view its:NameFuel type: hydro, solar, wind, gas, coal, oil, biomass, waste, nuclear, cogeneration, geothermal, petcoke, storage, wave and tidal, or otherCapacity (MW)Annual generation (GWh)Data sourceLink to more informationTo view additional information such as the data source year, geolocation source, latitude, and longitude, click on the table icon underneath the layer name. This feature layer employs Clustering which groups point features within a certain distance of one another into one symbol. When you zoom in, the clusters start to break up and greater point details are displayed. To view the popup for individual power plants, click on the cluster and select Browse Features. The Firefly symbology used for this layer works best with darker basemaps like the Firefly basemap, Nova basemap, or the Human Geography Dark basemap, all found in the Living Atlas of the World. This layer was created by the World Resources Institute and last updated in 2021. The dataset is updated by the World Resources Institute every 4 to 6 months. For more information, please contact Aaron Kressig at aaron.kressig@wri.org.

Nuclear Energy Index fell to 39.55 USD on July 31, 2025, down 1.76% from the previous day. Over the past month, Nuclear Energy Index's price has risen 5.98%, and is up 51.24% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Nuclear Energy Index.

KR: Electricity Production From Nuclear Sources: % of Total data was reported at 30.229 % in 2015. This records an increase from the previous number of 28.653 % for 2014. KR: Electricity Production From Nuclear Sources: % of Total data is updated yearly, averaging 33.561 % from Dec 1971 (Median) to 2015, with 45 observations. The data reached an all-time high of 54.083 % in 1987 and a record low of 0.000 % in 1976. KR: Electricity Production From Nuclear Sources: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Energy Production and Consumption. Sources of electricity refer to the inputs used to generate electricity. Nuclear power refers to electricity produced by nuclear power plants.; ; IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/; Weighted average; Electricity production shares may not sum to 100 percent because other sources of generated electricity (such as geothermal, solar, and wind) are not shown. Restricted use: Please contact the International Energy Agency for third-party use of these data.

A generating station is an industrial facility built and operated to generate electricity. The map shows the 916 generating stations (power plants) operating in 2007. There were 479 hydroelectric stations, 375 thermal plants (combustion, internal combustion and steam), 7 nuclear plants, 54 wind turbines and 1 tidal power plant.

This layer contains over 28,000 power plant locations in 164 countries around the globe. Click on each power plant to view its:NameFuel type: hydro, solar, wind, gas, coal, oil, biomass, waste, nuclear, cogeneration, geothermal, petcoke, storage, wave and tidal, or otherCapacity (MW)Annual generation (GWh)Data sourceLink to more informationTo view additional information such as the data source year, geolocation source, latitude, and longitude, click on the table icon underneath the layer name. This feature layer employs Clustering which groups point features within a certain distance of one another into one symbol. When you zoom in, the clusters start to break up and greater point details are displayed. To view the popup for individual power plants, click on the cluster and select Browse Features. The Firefly symbology used for this layer works best with darker basemaps like the Firefly basemap, Nova basemap, or the Human Geography Dark basemap, all found in the Living Atlas of the World. This layer was created by the World Resources Institute and was last updated June 2018. The dataset is updated by the World Resources Institute every 4 to 6 months. For more information, please contact Aaron Kressig at aaron.kressig@wri.org.

This layer contains over 28,000 power plant locations in 164 countries around the globe. Click on each power plant to view its:NameFuel type: hydro, solar, wind, gas, coal, oil, biomass, waste, nuclear, cogeneration, geothermal, petcoke, storage, wave and tidal, or otherCapacity (MW)Annual generation (GWh)Data sourceLink to more informationTo view additional information such as the data source year, geolocation source, latitude, and longitude, click on the table icon underneath the layer name. This feature layer employs Clustering which groups point features within a certain distance of one another into one symbol. When you zoom in, the clusters start to break up and greater point details are displayed. To view the popup for individual power plants, click on the cluster and select Browse Features. The Firefly symbology used for this layer works best with darker basemaps like the Firefly basemap, Nova basemap, or the Human Geography Dark basemap, all found in the Living Atlas of the World. This layer was created by the World Resources Institute and was last updated June 2018. The dataset is updated by the World Resources Institute every 4 to 6 months. For more information, please contact Aaron Kressig at aaron.kressig@wri.org.

Oskarshamn is one of the municipalities being discussed as a possible site for disposal of nuclear waste from the Swedish nuclear power plants, and there has been inquiries made for a pilot study in the area. In view of this the local council of Oskarshamn appointed a ´Youth team´, consisting of ten young politicians from all political parties represented in the local council. The aim of the team was to inform and create debate among adolescents about how to store the radioactive waste from nuclear power plants. The purpose of this survey, addressed to young people in Oskarshamn, was to shed light on their opinion towards a pilot study and possible disposal of nuclear waste in Oskarshamn. The respondents had to answer questions about their opinion on the use of nuclear power in Sweden, if they believed nuclear power to be abolished by year 2010, and about their general interest in issues concerning energy and nuclear power. Other questions concerned risks associated with nuclear power, the influence different groups have/ought to have when it comes to disposal of nuclear waste, and if the respondent would accept a decision to dispose nuclear waste in Oskarshamn. A number of questions dealt with the suggested pilot study; if the respondent was for or against a pilot study; who should decide about the pilot study; if there had been enough information about the study; and if the respondent had attended any meeting, signed any petition, contacted any politician, contacted or participated in mass media, or tried to influence anyone´s opinion on any issue concerning the pilot study. The respondents also had to state the issues they considered to be important to study in a pilot study. Furthermore the respondents had to give their opinion about a number of risks discussed in connection with disposal of nuclear waste in Oskarshamn. Other questions concerned the influence on job opportunities and tourism. Demographic items include age, gender, marital status, children, education, occupation, and trade union membership. Oskarshamn is one of the municipalities being discussed as a possible site for disposal of nuclear waste from the Swedish nuclear power plants, and there has been inquiries made for a pilot study in the area. In view of this the local council of Oskarshamn appointed a 'Youth team', consisting of ten young politicians from all political parties represented in the local council. The aim of the team was to inform and create debate among adolescents about how to store the radioactive waste from nuclear power plants. The purpose of this survey, addressed to young people in Oskarshamn, was to shed light on their opinion towards a pilot study and possible disposal of nuclear waste in Oskarshamn. The respondents had to answer questions about their opinion on the use of nuclear power in Sweden, if they believed nuclear power to be abolished by year 2010, and about their general interest in issues concerning energy and nuclear power. Other questions concerned risks associated with nuclear power, the influence different groups have/ought to have when it comes to disposal of nuclear waste, and if the respondent would accept a decision to dispose nuclear waste in Oskarshamn. A number of questions dealt with the suggested pilot study; if the respondent was for or against a pilot study; who should decide about the pilot study; if there had been enough information about the study; and if the respondent had attended any meeting, signed any petition, contacted any politician, contacted or participated in mass media, or tried to influence anyone's opinion on any issue concerning the pilot study. The respondents also had to state the issues they considered to be important to study in a pilot study. Furthermore the respondents had to give their opinion about a number of risks discussed in connection with disposal of nuclear waste in Oskarshamn. Other questions concerned the influence on job opportunities and tourism. Demographic items include age, gender, marital status, children, education, occupation, and trade union membership. Probability: Simple random Sannolikhetsurval: obundet slumpmässigt urval Probability Sannolikhetsurval Self-administered questionnaire: paper Självadministrerat frågeformulär: papper

Oskarshamn is one of the municipalities being discussed as a possible site for disposal of nuclear waste from the Swedish nuclear power plants, and there has been inquiries made for a pilot study in the area. In view of this the local council of Oskarshamn appointed a ´Youth team´, consisting of ten young politicians from all political parties represented in the local council. The aim of the team was to inform and create debate among adolescents about how to store the radioactive waste from nuclear power plants. The purpose of this survey, addressed to young people in Oskarshamn, was to shed light on their opinion towards a pilot study and possible disposal of nuclear waste in Oskarshamn. The respondents had to answer questions about their opinion on the use of nuclear power in Sweden, if they believed nuclear power to be abolished by year 2010, and about their general interest in issues concerning energy and nuclear power. Other questions concerned risks associated with nuclear power, the influence different groups have/ought to have when it comes to disposal of nuclear waste, and if the respondent would accept a decision to dispose nuclear waste in Oskarshamn. A number of questions dealt with the suggested pilot study; if the respondent was for or against a pilot study; who should decide about the pilot study; if there had been enough information about the study; and if the respondent had attended any meeting, signed any petition, contacted any politician, contacted or participated in mass media, or tried to influence anyone´s opinion on any issue concerning the pilot study. The respondents also had to state the issues they considered to be important to study in a pilot study. Furthermore the respondents had to give their opinion about a number of risks discussed in connection with disposal of nuclear waste in Oskarshamn. Other questions concerned the influence on job opportunities and tourism. Demographic items include age, gender, marital status, children, education, occupation, and trade union membership.

Switzerland Electricity Production: Nuclear Power Plants data was reported at 2,175.000 GWh in Jul 2018. This records an increase from the previous number of 1,633.000 GWh for Jun 2018. Switzerland Electricity Production: Nuclear Power Plants data is updated monthly, averaging 2,206.000 GWh from Jan 1995 (Median) to Jul 2018, with 283 observations. The data reached an all-time high of 2,476.000 GWh in Dec 2013 and a record low of 754.000 GWh in Jun 2005. Switzerland Electricity Production: Nuclear Power Plants data remains active status in CEIC and is reported by Swiss Federal Office of Energy. The data is categorized under Global Database’s Switzerland – Table CH.RB004: Electricity Production and Consumption.

We constructed a near-real-time global power generation dataset: CM-Power since January 1, 2016 at national levels with near-global coverage and hourly to daily time resolution. The data is frequently updated. The power generation data presented in this study are collected from 37 countries across all continents for eight power source groups, including three types of fossil sources (coal, natural gas, and oil), nuclear energy, and four groups of renewable energy sources (solar energy, wind energy, hydro energy and other renewable sources including biomass, geothermal, etc.). The global near-real-time power dataset shows the dynamics of the global power system, including its hourly, daily, weekly and seasonal patterns as influenced by daily periodical activities (i.e., working hours), weekends, seasonal cycles, as well as by regular and irregular events such as holidays (i.e., Thanksgiving Day) and extreme events such as the COVID-19 pandemic. The CM-Power dataset reveals that the COVID-19 pandemic has caused strong disruptions in some countries (i.e., China, India, and South Africa), even leading to a temporary or long-lasting shift to low carbon intensity, while it had only little impact in some other countries (i.e., Australia). This daily and hourly updated power dataset offer a large range of opportunities for power-related scientific research and policy-making.