This table expresses the use of renewable energy as gross final consumption of energy. Figures are presented in an absolute way, as well as related to the total energy use in the Netherlands. The total gross final energy consumption in the Netherlands (the denominator used to calculate the percentage of renewable energy per ‘Energy sources and techniques’) can be found in the table as ‘Total, including non-renewables’ and Energy application ‘Total’. The gross final energy consumption for the energy applications ‘Electricity’ and ‘Heat’ are also available. With these figures the percentages of the different energy sources and applications can be calculated; these values are not available in this table. The gross final energy consumption for ‘Transport’ is not available because of the complexity to calculate this. More information on this can be found in the yearly publication ‘Hernieuwbare energie in Nederland’.

Renewable energy is energy from wind, hydro power, the sun, the earth, heat from outdoor air and biomass. This is energy from natural processes that is replenished constantly.

The figures are broken down into energy source/technique and into energy application (electricity, heat and transport).

This table focuses on the share of renewable energy according to the EU Renewable Energy Directive. Under this directive, countries can apply an administrative transfer by purchasing renewable energy from countries that have consumed more renewable energy than the agreed target. For 2020, the Netherlands has implemented such a transfer by purchasing renewable energy from Denmark. This transfer has been made visible in this table as a separate energy source/technique and two totals are included; a total with statistical transfer and a total without statistical transfer.

Figures for 2020 and before were calculated based on RED I; in accordance with Eurostat these figures will not be modified anymore. Inconsistencies with other tables undergoing updates may occur.

Data available from: 1990

Status of the figures: This table contains definite figures up to and including 2022, figures for 2023 are revised provisional figures and figures for 2024 are provisional.

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 This table contains the outdated data from June 2025.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 2025: Figures for 2024 have been added.

Changes as of January 2025 Renewable cooling has been added as Energy source and technique from 2021 onwards, in accordance with RED II. Figures for 2020 and earlier follow RED I definitions, renewable cooling isn’t a part of these definitions.
The energy application “Heat” has been renamed to “Heating and cooling”, in accordance with RED II definitions. RED II is the current Renewable Energy Directive which entered into force in 2021

Changes as of November 15th 2024 Figures for 2021-2023 have been adjusted. 2022 is now definitive, 2023 stays revised provisional. Because of new insights for windmills regarding own electricity use and capacity, figures on 2021 have been revised.

Changes as of March 2024: Figures of the total energy applications of biogas, co-digestion of manure and other biogas have been restored for 2021 and 2022. The final energy consumption of non-compliant biogas (according to RED II) was wrongly included in the total final consumption of these types of biogas. Figures of total biogas, total biomass and total renewable energy were not influenced by this and therefore not adjusted.

When will new figures be published? Provisional figures on the gross final consumption of renewable energy in broad outlines for the previous year are published each year in June. Revised provisional figures for the previous year appear each year in June.

In November all figures on the consumption of renewable energy in the previous year will be published. These figures remain revised provisional, definite figures appear in November two years after the reporting year. Most important (expected) changes between revised provisional figures in November and definite figures a year later are the figures on solar photovoltaic energy. The figures on the share of total energy consumption in the Netherlands could also still be changed by the availability of adjusted figures on total energy consumption.

The leading countries for installed renewable energy in 2024 were China, the United States, and Brazil. China was the leader in renewable energy installations, with a capacity of around 1,827 gigawatts. The U.S., in second place, had a capacity of around 428 gigawatts. Renewable energy is an important step in addressing climate change and mitigating the consequences of this phenomenon. Renewable energy capacity and productionRenewable power capacity is defined as the maximum generating capacity of installations that use renewable sources to generate electricity. The share of renewable energy in the world’s power production has increased in recent years, surpassing 30 percent in 2023. Renewable energy consumption varies from country to country. The leading countries for renewable energy consumption are China, the United States, and Canada.Renewable energy sourcesThere are various sources of renewable energy used globally, including bioenergy, solar energy, hydropower, and wind energy, to name a few. Globally, China and Brazil are the top two countries in terms of generating the most energy through hydropower. Regarding solar power, China, the United States, and Japan boast the highest installed capacities worldwide.

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

The 2005 edition of the Energy Statistics Database contains comprehensive energy statistics on more than 215 countries or areas for production, trade, transformation and intermediate and final consumption (end-use) for primary and secondary conventional, non-conventional and new and renewable sources of energy. In addition, mid-year population estimates are included to enable the computation of per capita data. Data on heating (calorific) values are also provided to enable conversion to a common unit (terajoules) for interfuel comparison and analyses.

Wood biomass for energy is largely produced in Europe from forest land resulting from silvicultural and management practices or from agricultural land in the form of fast growing plantations. The present paper reviews and compares the estimated current potentials for wood biomass production in 25 countries in Europe. The potentials are divided attending to these sources to identify the most suitable method of wood biomass production on a country level, based on its current forest and agriculture levels of production. 2. 3. Europe. 4. Data has been collected and compiled from previous models and estimations.

Global Energy Consumption in Biodiesel Production by Country, 2023 Discover more data with ReportLinker!

Abstract copyright UK Data Service and data collection copyright owner. The International Energy Agency (IEA) datasets published by the Energy Statistics Division (ESD) contain annual and quarterly time series data from 1960 onwards on energy production, trade, stocks, transformation, consumption, prices and taxes as well as on greenhouse gas emissions for the Organisation for Economic Co-operation and Development (OECD) Member countries and over 100 non-OECD countries worldwide. In OECD Member countries the data are collected by official bodies (most often the national statistics office in each country) from firms, government agencies and industry organisations and are then reported to the IEA using questionnaires to ensure international comparability. In non-OECD countries the data are collected directly from government and industry contacts and from national publications. The IEA World Energy Balances is a compilation of the data in the following two databases: This database was first made available by the UK Data Service in August 2009 and is updated annually. Main Topics: Energy balances provided in thousand tonnes of oil equivalent (ktoe) for the following energy sources:coal and coal productspeatcrude oil, NGL (natural gas liquids) and feedstockspetroleum productsnatural gasnuclearhydrogeothermalsolar/wind/othercombustible renewables and wasteelectricityheat

This table shows the supply, transformation and the consumption of energy in a balance sheet. Energy is released - among other things - during the combustion of for example natural gas, petroleum, hard coal and biofuels. Energy can also be obtained from electricity or heat, or extracted from natural resources, e.g. wind or solar energy. In energy statistics all these sources of energy are known as energy commodities.

The supply side of the balance sheet includes indigenous production of energy, net imports and exports and net stock changes. This is mentioned primary energy supply, because this is the amount of energy available for transformation or consumption in the country.

For energy transformation, the table gives figures on the transformation input (amount of energy used to make other energy commodities), the transformation output (amount of energy made from other energy commodities) and net energy transformation. The latter is the amount of energy lost during the transformation of energy commodities.

Then the energy balance sheet shows the final consumption of energy. First, it refers to the own use and distribution losses. After deduction of these amounts remains the final consumption of energy customers. This comprises the final energy consumption and non-energy use. The final energy consumption is the energy consumers utilize for energy purposes. It is specified for successively industry, transport and other customers, broken down into various sub-sectors. The last form of energy is the non-energy use. This is the use of an energy commodity for a product that is not energy.

Data available: From 1946.

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

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 2025: Figures for 2024 have been updated.

Changes as of March 19th 2025: For all reporting years the underlying code for 'Total crudes, fossil fraction' is adjusted. Figures have not been changed.

Changes as of March 17th 2025: Provisional figures of 2024 have been added.

Changes as of November 15th 2024: The structure of the table has been adjusted. This concerns the classification into energy commodities, section 'other energy commodities'. The new classification ensures that it is now exactly in line with the classification used by Eurostat when publishing the Energy Balance Sheet. This table has also been revised for 2015 to 2021 as a result of new methods that have also been applied for 2022 and 2023. This concerns the following components: final energy consumption of LPG, distribution of final energy consumption of motor gasoline and transfer of energy consumption of the nuclear industry from industry to the energy sector. The natural gas consumption of the wood and wood products industry has also been improved so that it is more comparable over time. This concerns changes of a maximum of a few PJ.

Changes as of June 7th 2024: Revised provisional figures of 2023 have been added.

Changes as of April 26th 2024:

• Provisional figures of 2023 have been added.

The energy balance has been revised for 2015 and later on a limited number of points. The most important is the following: 1. For solid biomass and municipal waste, the most recent data have been included. Furthermore data were affected by integration with figures for a new, yet to be published StatLine table on the supply of solid biomass. As a result, there are some changes in imports, exports and indigenous production of biomass of a maximum of a few PJ. 2. In the case of natural gas, an improvement has been made in the processing of data for stored LNG, which causes a shift between stock changes, imports and exports of a maximum of a few PJ. 3. Data for final energy consumption of blended biofuels per subsector in transport were incorrectly excluded. These have now been made visible.

Changes as of March 25th 2024: The energy balance has been revised and restructured. It concerns mainly a different way of dealing with biofuels that are mixed with fossil fuels.

For the modelling of electricity production and demand, meteorological conditions are becoming more relevant due to the increasing contribution from renewable electricity production. But the requirements on meteorological data sets for electricity modelling are quite high. One challenge is the high temporal resolution, since a typical time step for modelling electricity production and demand is one hour. On the other side the European electricity market is highly connected, so that a pure country based modelling does not make sense and at least the whole European Union area has to be considered. Additionally, the spatial resolution of the data set must be able to represent the thermal conditions, which requires high spatial resolution at least in mountainous regions. All these requirements lead to huge data amounts for historic observations and even more for climate change projections for the whole 21st century. Thus, we have developed an aggregated European wide data set that has a temporal resolution of one hour, covers the whole EU area, has a reasonable size but is considering the high spatial variability. This meteorological data set for Europe for the historical period and climate change projections fulfills all relevant criteria for energy modelling. It has a hourly temporal resolution, considers local effects up to a spatial resolution of 1 km and has a suitable size, as all variables are aggregated to NUTS regions. Additionally meteorological information from wind speed and river run-off is directly converted into power productions, using state of the art methods and the current information on the location of power plants. Within the research project SECURES (https://www.secures.at/) this data set has been widely used for energy modelling.

The SECURES-Met dataset provides variables visible in the table.

Variable Short name Unit Aggregation methods Temporal resolution

Temperature (2m) T2M

°C

°C

spatial mean

population weighted mean (recommended)

hourly

Radiation

GLO (mean global radiation)

BNI (direct normal irradiation)

Wm-2

Wm-2

spatial mean

population weighted mean (recommended)

hourly

Potential Wind Power WP 1 normalized with potentially available area hourly

Hydro Power Potential

HYD-RES (reservoir)

HYD-ROR (run-of-river)

MW

1

summed power production

summed power production normalized with average daily production

daily

SECURES-Met is available in a tabular csv format for the historical period (1981-2020, Hydro only until 2010) created from ERA5 and ERA5-Land and two future emission scenarios (RCP 4.5 and RCP 8.5, both 1951-2100, wind power starting from 1981, hydro power from 1971) created from one CMIP5 EUROCORDEX model (GCM: ICHEC-EC-EARTH, RCM: KNMI-RACMO22E, ensemble run: r12i1p1) on the spatial aggregation level

NUTS0 (country-wide),

NUTS2 (province-wide),

NUTS3 (Austria only),

and EEZ (Exclusive Economic Zones, offshore only).

The data is divided into the historical (Historical.zip) and the two emission scenarios (Future_RCP45.zip and Future_RCP85.zip), a README file, which describes, how the files are organized, and a folder (Meta.zip), which has information and shape files of the different NUTS levels. As population weighted temperature and radiation represent values in geographical areas more relevant for solar power, it is highly relevant to use population weighted files. Spatial mean should be used for reference only.

The project SECURES, in which this dataset was produced, was funded by the Climate and Energy Fund (Klima- und Energiefonds) under project number KR19AC0K17532.

This dataset covers the indicator for monitoring progress towards renewable energy targets of the Europe 2020 strategy implemented by Directive 2009/28/EC on the promotion of the use of energy from renewable sources (RED I) and the Fit for 55 strategy uner the Green Deal implemented by Directive (EU) 2018/2001 on the promotion of the use of energy from renewable sources (RED II).

Data until 2020 are calculated on the basis of RED I, while data for 2021 follow RED II. Due to the change of legal basis, a break in series occurs between 2020 and 2021. Readers are encouraged to analyse the differences between both Directives (RED I and RED II), the energy sector and all national specificities before drawing any conclusions from the comparison of year 2021 with previous time series. The SHARES Manual provides details on the methodology used for the calculation of the share of renewables.

Hydro is normalised (averaged over a number of years to smooth out the effects of climatic variation) and excluding pumping. Wind is also normalised (and from 2021 onwards as per RED II separately for on-shore and off-shore). Solar includes solar photovoltaics and solar thermal power generation. All other renewables include electricity generation from gaseous and liquid biofuels, renewable municipal waste, geothermal, and tide, wave & ocean. Only electricity produced from compliant liquid biofuels can be accounted. For 2021 onwards (as per RED II), also solid and gaseous biofuels combusted in installations above a certain threshold need to comply with sustainability and greenhouse gas emissions saving criteria. Renewable energy sources used for heating and cooling include solar thermal, geothermal energy, ambient heat captured by heat pumps for heating (and from 2021 onwards, renewable cooling, as per RED II), solid, liquid and gaseous biofuels, and the renewable part of waste. Only heat produced from compliant liquid biofuels can be accounted for. From 2021 onwards (as per RED II), solid and gaseous biofuels combusted in installations above a certain threshold need to comply with sustainability and greenhouse gas emissions saving criteria. RED II modifies the multipliers for the use of renewable electricity in different means of transport.

The calculation is based on data collected in the framework of Regulation (EC) No 1099/2008 on energy statistics and complemented by specific supplementary data transmitted by national administrations to Eurostat.

In some countries the statistical systems are not yet fully developed to meet all requirements of RED I or RED II, in particular with respect to ambient heat captured from the environment by heat pumps, renewable cooling or sustainability of solid and gaseous biofuels.

This is a Sustainable Development Goal (SDG) indicator. It has been chosen for the assessment of the progress towards the objectives and targets of the EU Sustainable Development Strategy. The data collection covers the full spectrum of the Member States of the European Union. Time series starts in the year 2004.

The share of energy from renewable sources is calculated for four indicators:

• Transport (RES-T)
• Heating and Cooling (RES-H&C)
• Electricity (RES-E)
• Overall RES share (RES)

More details are available in the SHARES tool manual. In addition, more information (like detailed calculations used to obtain the results) are available in the Excel and zip file in the SHARES section.

In particular, for RES-E it is possible to obtain results higher than 100%. This is due to the definition of the calculation, where the numerator ‘gross final consumption of electricity from renewable sources’ is defined as the gross electricity production from renewable sources. The denominator ‘gross final consumption of electricity’ is, for the purpose of the calculations in the SHARES tool, defined as gross electricity production from all energy sources plus total imports of electricity minus total exports of electricity. Therefore, if a country produces more electricity from renewable sources than total electricity it consumes, the RES-E ratio would be higher than 100% (e.g. Norway).

Global Energy Consumption in Biodiesel Production Share by Country (Thousand Tonnes Of Oil Equivalent), 2023 Discover more data with ReportLinker!

This dataset provides model-ready data to include geospatial differentiation in solar and wind power investment options in energy models (primarily capacity expansion models and dispatch models) at the level of every Central and South American country.

The methodology used to create the dataset takes into account resource quality, land use restrictions, distance from infrastructure, and other factors. It was previously applied to create an all-Africa dataset explained in Sterl et al. (2022) and published by Sterl, Hussain & Elabbas (2023).

Folder (1) provides shapefiles of each country's overall feasible area for developing solar and wind power projects, under the restrictions/criteria mentioned above and described in Sterl et al. (2022).

Folder (2) provides the best 5% ("best" measured by expected LCOE, from lowest to highest, including grid and road extension costs; 5% measured in terms of coverage of a country's area) of each country's solar and wind development potential, including hourly time series for model input.

Folder (3) provides the corresponding shapefiles.

Folder (4) provides simplified/aggregated results in terms of MSR clusters (see Sterl et al. 2022 for details), alongside hourly time series based on the meteorological year 2018. The amount of clusters was chosen to be 3, 5 or 10 depending on country size.

Folder (5) provides PDF-file maps at the country level, showing resource strength and clustering outcomes by MSR (post-screening).

Explanations of the headers in any spreadsheet files are provided in the Supplementary Information of Sterl et al. (2022).

Countries/territories included in the dataset:

ArgentinaBelizeBoliviaBrazilChileColombiaCosta RicaCubaDominican RepublicEcuadorEl SalvadorFrench GuianaGuatemalaGuyanaHaitiHondurasJamaicaNicaraguaPanamaParaguayPeruSurinameUruguayVenezuela

References

Sterl, S., Hussain, B., Miketa, A. et al. An all-Africa dataset of energy model “supply regions” for solar photovoltaic and wind power. Sci Data 9, 664 (2022). https://doi.org/10.1038/s41597-022-01786-5

Sterl, S., Hussain, B., & Elabbas, M. (2023). Data for the paper « An all-Africa dataset of energy model "supply regions" for solar PV and wind power » (1.2.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14870967

ANNUAL

Annual data on quantities for crude oil, petroleum products, natural gas and manufactures gases, electricity and derived heat, solid fossil fuels, renewables and wastes covering the full spectrum of the energy sector from supply through transformation to final consumption by sector and fuel type.

Also, annual imports and exports data of various energy carriers by country of origin and destination, as well as infrastructure information.

Data on annual statistics are collected via standard questionnaires according to Annex B of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics

MONTHLY

The monthly energy data collections cover the most important energy commodities:

• Crude oil & Petroleum products
• Natural gas
• Solid fuels
• Electricity

For each of the above mentioned commodities the inflowing data are delivered by the reporting countries to Eurostat via separate dedicated questionnaires.

Data on monthly statistics are collected via standard questionnaires according to Annex C of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics

SHORT-TERM MONTHLY

The short-term monthly energy data collection covers the imports and supply of crude oil.

Data on monthly short term statistics are collected via standard questionnaires according to Annex D of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics.

In the past, short term monthly statistics also covered the main flows (quantities) on the supply side for

• Oil & petroleum products
• Natural gas
• Electricity

The short-term monthly data collection for electricity was stopped in 2019, whereas short-term monthly data for oil and petroleum products and natural gas are not collected as of 2021.

European Gross Heat Production from Fossil Energy Share by Country (Terajoules), 2023 Discover more data with ReportLinker!

Abstract copyright UK Data Service and data collection copyright owner. The International Energy Agency (IEA) datasets published by the Energy Statistics Division (ESD) contain annual and quarterly time series data from 1960 onwards on energy production, trade, stocks, transformation, consumption, prices and taxes as well as on greenhouse gas emissions for over the 30 Organisation for Economic Co-operation and Development (OECD) Member countries and over 100 non-OECD countries worldwide. In OECD Member countries the data are collected by official bodies (most often the national statistics office in each country) from firms, government agencies and industry organisations and are then reported to the IEA using questionnaires to ensure international comparability. In non-OECD countries the data are collected directly from government and industry contacts and from national publications. Energy Balances of OECD Countries: This database contains energy balances for 30 OECD countries and six regions. Detailed energy balances are provided in kJ/kg and toe/t. Definitions of products and flows, explanatory notes on the individual country data, indicators (including GDP, population, industrial production index and ratios calculated with the energy data) and net calorific values are also included. In general, data are available from 1960. This database is updated by the IEA in May each year. This database was first made available by the UK Data Service in June 2005 and is updated annually. The UK Data Service web site includes further information on its IEA Energy Balances of OECD Countries database, including a dataset user guide and details of latest database updates. Citation: The bibliographic citation for the database is: International Energy Agency ({YYYY}): Energy Balances of OECD Countries Database ({Ed. YYYY}). UK Data Service. DOI: {edition specific doi - e.g. http://dx.doi.org/10.5257/iea/ebo/2011}. Alternative DOIs: 10.1787/enestats-data-en (to access via OECD.Stat subscription). Main Topics: Topics covered include:energy balances in kJ/kg and toe/tcoal and coal productspeatcrude, NGL (natural gas liquids) and feedstockspetroleum productsnatural gasnuclearhydrogeothermalsolar/wind/othercombustible renewables and wasteelectricityheat See the <a href="http://ukdataservice.ac.uk//use-data/guides/dataset/iea.aspx" title="IEA dataset u

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.

OECD Global Crude Oil Imports Prices

Regional and Temporal Trends

By OECD [source]

About this dataset

This dataset contains global crude oil import prices from the OECD. It provides important insight into international trading of oil and its related products, enabling users to analyse market trends and compare prices across different countries. This data is essential for understanding the development of different economies, as well as their dependence on crude oil imports. Through analysis of this dataset, users can understand the role that regional and global factors play in impacting global crude oil import prices over time. The dataset includes columns tracking country/region of origin (LOCATION), indicator measured (INDICATOR), subject tracked (SUBJECT), measure taken (MEASURE), frequency interval (FREQUENCY), time period covered (TIME) as well as numerical value and flag codes associated with the data captured in each row. This invaluable source is perfect for researchers looking to take a deep dive into international markets over time or academics studying the complexities surrounding trade in the energy sector!

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For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

This dataset is a great resource for anyone looking to analyze the current and historical prices of crude oil imports from the OECD. The data contains prices from member countries of the OECD and is updated regularly. This dataset can be used to study long term trends in price as well as explore differences between countries with different levels of crude oil import demand.

• In order to make use of this dataset, it’s important to familiarize yourself with the column names and descriptions. The first column is LOCATION which indicates which country or region the data applies to. INDICATOR indicates what information is being displayed (e.g., import market share, import value, etc.). SUBJECT describes what category that metric falls into (e.g., fuel energy). MEASURE tells you whether an amount is expressed in a unit or currency while FREQUENCY says how often data has been collected: monthly, quarterly or annually (average monthly/quarterly/annual etc..). TIME displays measure period start date in year-month format and Value denotes numerical value for each row's measurement respectively while flag codes indicate if any values are estimates or outlier measurements that should be examined further before using them

• Using this understanding, one could filter their search by creating filters on these columns accordingly depending on their research topic such as – pulling all records for China for Q4 2019 - then apply sorting on “VALUE” column based on imported measurements have become cheaper during given time frame etc.. Additionally formulas like SUMIFS() can also be used across multiple columns available within this agreement document at same time such as – total Imports Value from India & Japan combined during May 2019 till October 2020 – based upon bringing together Matching condition criteria met across few columns where needed at same time . As such this dataset provides flexible solutions which potentially allow us to explore patterns related either just single country's current trends -or- cross references since global side-by-side evaluation possible here featuring more than just one nation alone too ...........

Research Ideas

• Analyzing the impact of changes in crude oil prices on global economic growth.
• Examining the evolving dynamics of crude oil trade flows between different countries and regions.
• Tracking trends in crude oil import prices across different industries to identify potential opportunities for cost savings and efficiency gains

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: crude_oil_import_prices.csv | Column name | Description ...

Overview

This dataset provides a comprehensive collection of time series data sourced from the World Bank Open Data Platform, covering a wide range of global indicators from 1960 to the most recently published year. It includes economic, social, environmental, and demographic metrics, making it an ideal resource for researchers, data scientists, and policymakers interested in global development trends, economic forecasting, or socio-economic analysis.

A tutorial on how to combined the dataset topics together into one large dataset can be found here

Why this Dataset?

My motivation for this project was to curate a high-quality collection of datasets for World Bank indicators organized by topics and structured in time-series, making them more accessible for data science projects. Since the World Bank’s Kaggle datasets have not been updated since 2019 https://www.kaggle.com/organizations/theworldbank, I saw an opportunity to provide more current data for the data analysis community.

Dataset Collection Contents

This collection brings together more than 800 World Bank indicators organized into 18 topic‑specific CSV files. Each file is structured as a country‑year panel: every row represents a unique combination of year (1960‑present) and ISO‑3 country code, while the columns hold the topic’s indicators.

The collection includes datasets with a variety of indicators, such as: - Economic Metrics: GDP growth (%), GDP per capita, consumer price inflation, merchandise trade, gross capital formation, and more.
- Social Metrics: School enrollment (primary, secondary, tertiary), infant mortality rate, maternal mortality rate, poverty headcount, and more.
- Environmental Metrics: Forest area, renewable energy consumption, food production indices, and more.
- Demographic Metrics: Urban population, life expectancy, net migration, and more.

Usage

This dataset is ideal for a variety of applications, including: - Economic forecasting and trend analysis (e.g., GDP growth, inflation).
- Socio-economic studies (e.g., education, health, poverty).
- Environmental impact analysis (e.g., renewable energy adoption).
- Demographic research (e.g., population trends, migration).

Topic datasets can be merged with each other using year and country code. This tutorial with notebook code can help you get started quickly.

Collection Methodology

The data is collected via a custom software application that discovers and groups high-quality indicators with rules-based logic & artificial intelligence, generates metadata, and performs ETL for the data from the World Bank API. The result is a clean, up‑to‑date collection of World Bank indicators in time-series format that is ready for analysis—no manual downloads or data wrangling required.

Modifications

The original World Bank data has been aggregated and transformed for ease of use. Missing values have been preserved as provided by the World Bank, and no significant transformations have been applied beyond formatting and aggregation into a single file.

Source & Attribution

The World Bank: World Development Indicators

This dataset is publicly available and sourced from the World Bank Open Data Platform and is made available under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. When using this data, please attribute the World Bank as follows: "Data sourced from the World Bank, licensed under CC BY 4.0." For more details on the World Bank’s terms of use, visit: https://www.worldbank.org/en/about/legal/terms-of-use-for-datasets.

License

This dataset is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Feel free to use this data in Kaggle notebooks, academic research, or policy analysis. If you create a derived dataset or analysis, I encourage you to share it with the Kaggle community.

DOI Abstract copyright UK Data Service and data collection copyright owner. The International Energy Agency (IEA) World Energy Prices database includes annual energy prices data for gasoline, automotive diesel, electricity and other products.Energy prices are a significant part of our domestic expenditures, play an important role for industrial competitiveness and influence energy consumption patterns. End-use prices-paid by final consumers- are affected by movements in commodity markets as well as policy decisions. As countries move away from regulated pricing, monitoring energy end-use prices around the world has become increasingly important for analysts and policy makers. World Energy Prices aims to serve this purpose by being the most reliable database that uses official sources with transparent and documented methodologies for each country. Main Topics: Topics covered include:ElectricityTransportTransport FuelsConsumer Price IndicesOther products Aggregation 1969 2022 AGRICULTURE Afghanistan Albania Algeria Andorra Angola Antigua and Barbuda Argentina Armenia Aruba Australia Austria Azerbaijan BOILERS Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Darussalam Bulgaria Burkina Faso Burundi CALORIES CHEMICALS COAL CONSTRUCTION ENGINE... CONSUMPTION Cambodia Cameroon Canada Cape Verde Cayman Islands Central African Rep... Chad Channel Islands Chile China Colombia Comoros Congo Costa Rica Croatia Cuba Curacao Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic ELECTRIC POWER ENERGY EXPORTS AND IMPORTS Ecuador Egypt El Salvador Energy and natural ... Equatorial Guinea Estonia Ethiopia Europe European Union Coun... FISHING INDUSTRY FOOD FORESTRY FOSSIL FUELS Faroe Islands Finland France GAS FUELS GEOTHERMAL ENERGY Gabon Gambia Georgia Germany October 1990 Ghana Gibraltar Greece Grenada Guatemala Guinea Guinea Bissau HEATING SYSTEMS HYDROPOWER Honduras Hong Kong Hungary INDUSTRIAL PLANTS INDUSTRIAL PRODUCTION INDUSTRIES IRON Iceland India Indonesia Iran Iraq Ireland Isle of Man Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Kosovo Kuwait Kyrgyzstan LEATHER Latvia Lebanon Lesotho Liberia Lithuania Luxembourg MACHINES MARKETING METALS MINERALS MINING Macao Macedonia Madagascar Malawi Malaysia Mali Malta Mauritania Mauritius Mexico Moldova Montenegro Morocco Mozambique Multi nation NUCLEAR ENERGY Namibia Nepal Netherlands New Zealand Nicaragua Niger Nigeria Norway PAPER PEAT PETROLEUM PRODUCTS PRODUCTION PUBLIC SERVICES PUMPS RAILWAY TRAVEL RENEWABLE ENERGY RESIDENTIAL BUILDINGS ROAD TRAFFIC ROADS Romania Russia Rwanda SHARES SOLAR ENERGY Saint Lucia Saint Martin Saint Vincent Saotome Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa South Korea Spain Sri Lanka Sudan Surinam Swaziland Switzerland TEXTILE INDUSTRY TEXTILE PRODUCTS TOBACCO TRANSPORT Tajikistan Tanzania Thailand Togo Trinidad and Tobago Turkey Turkmenistan Uganda Ukraine United Kingdom United States Uruguay Uzbekistan Vanuatu Venezuela Vietnam Virgin Islands USA WASTES WAXES WIND ENERGY WOOD Zambia Zimbabwe

The International Energy Agency (IEA) datasets published by the Energy Statistics Division (ESD) contain annual, quarterly and monthly time series data from 1960 onwards on energy production, trade, stocks, transformation, consumption, prices and taxes as well as on greenhouse gas emissions for the OECD Member countries and non-OECD countries world-wide.

In OECD Member countries the data is collected by official bodies (most often the national statistics office in each country) from firms, government agencies and industry organisations and are then reported to the IEA using questionnaires to ensure international comparability. In non-OECD countries the data is collected directly from government and industry contacts and from national publications.

The International Energy Agency (IEA) Energy Prices and Taxes database contains a major international compilation of energy prices at all market levels: import prices, industry prices and consumer prices. The statistics cover import costs and export prices of main petroleum products, natural gas and coal in Organisation for Economic Co-operation and Development (OECD) countries. End-user prices and taxes for selected petroleum, gas and coal products as well as for electricity are provided for industry, electricity generation and households for OECD countries and a selection of non-OECD countries. Full notes on sources and methods and a description of price mechanisms in each country are included. Time series availability varies with each data series. In general, end-user prices and taxes start in 1978, import costs in 1980 and spot prices in 1982. This database is updated by the IEA in January, April, July and October of each year.

These data were first provided by the UK Data Service in June 2005 and is updated quarterly.