Gasoline increased 0.22 USD/GAL or 10.89% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gasoline - values, historical data, forecasts and news - updated on March of 2025.

Gasoline Prices in the United States increased to 0.82 USD/Liter in February from 0.81 USD/Liter in January of 2025. This dataset provides the latest reported value for - United States Gasoline Prices - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Natural gas increased 0.21 USD/MMBtu or 5.84% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Natural gas - values, historical data, forecasts and news - updated on March of 2025.

This dataset contains information about Gas, oil & LPG prices in Egypt for 2015-2021. Data from Ministry of Petroleum, Egypt.

UK Gas decreased 26.27 GBp/Thm or 20.95% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. UK Natural Gas - values, historical data, forecasts and news - updated on March of 2025.

This table shows the average prices paid for natural gas and electricity. The total prices represent the sum of energy supply prices and network prices.

The total price is the price paid by an end-user, for instance a household or an industrial company consuming energy in their production process. Natural gas used for non-energy purposes or for electricity generation is excluded from the data.

The price cap set by the Dutch government for 2023 has now been incorporated into the prices.

Data available from: 1st semester of 2009

Status of the figures: The figures in this table are provisional for the two most recent semesters, and the annual figures follow the status of the second semester of the relevant reporting year. The remaining figures are final.

Changes as of September 30: Figures for the first half of 2024 have been added.

When will new figures be published? New provisional figures will be published three months after the semesters end, at the end of September and at the end of March.

A dataset of average pence per litre and per gallon petrol and diesel fuel prices in the UK regions including England, Scotland, Wales, and Northern Ireland.

The Utility Energy Registry (UER) is a database platform that provides streamlined public access to aggregated community-scale energy data. The UER is intended to promote and facilitate community-based energy planning and energy use awareness and engagement. On April 19, 2018, the New York State Public Service Commission (PSC) issued the Order Adopting the Utility Energy Registry under regulatory CASE 17-M-0315. The order requires utilities and CCA administrators under its regulation to develop and report community energy use data to the UER. This dataset includes electricity and natural gas usage data reported at the ZIP Code level. Other UER datasets include energy use data reported at the city, town, village, and county level. Data in the UER can be used for several important purposes such as planning community energy programs, developing community greenhouse gas emissions inventories, and relating how certain energy projects and policies may affect a particular community. It is important to note that the data are subject to privacy screening and fields that fail the privacy screen are withheld. The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

Production and reserves statistics for coal seam gas, condensate, crude oil, liquefied petroleum gas and natural gas.

Please note: Due to changes in the data collection and reporting standards the Department has altered the published reports format. The Petroleum and gas production reports are published in the new format from the period Dec 2014 till Dec 2021 (current) and the Petroleum and gas reserves reports are published in the new format for the calendar year 2020 and 2021 (current)

The reports released for data periods mentioned above have been updated to reflect the current reporting measure of units and data standards.

More information about these changes can be found here: Link

Historical data (pre-30 June 2016 Production and Pre 2020 Reserves) can be found here: Link

TTF Gas decreased 8.92 EUR/MWh or 17.69% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. EU Natural Gas TTF - values, historical data, forecasts and news - updated on March of 2025.

The 2025 annual OPEC oil price stood at 78.1 U.S. dollars per barrel, as of February. This would be lower than the 2024 average, which amounted to 79.86 U.S. dollars. The abbreviation OPEC stands for Organization of the Petroleum Exporting Countries and includes Algeria, Angola, Congo, Equatorial Guinea, Gabon, Iraq, Iran, Kuwait, Libya, Nigeria, Saudi Arabia, Venezuela, and the United Arab Emirates. The aim of the OPEC is to coordinate the oil policies of its member states. It was founded in 1960 in Baghdad, Iraq. The OPEC Reference Basket The OPEC crude oil price is defined by the price of the so-called OPEC (Reference) basket. This basket is an average of prices of the various petroleum blends that are produced by the OPEC members. Some of these oil blends are, for example: Saharan Blend from Algeria, Basra Light from Iraq, Arab Light from Saudi Arabia, BCF 17 from Venezuela, et cetera. By increasing and decreasing its oil production, OPEC tries to keep the price between a given maxima and minima. Benchmark crude oil The OPEC basket is one of the most important benchmarks for crude oil prices worldwide. Other significant benchmarks are UK Brent, West Texas Intermediate (WTI), and Dubai Crude (Fateh). Because there are many types and grades of oil, such benchmarks are indispensable for referencing them on the global oil market. The 2024 fall in prices was the result of weakened demand outlooks, primarily from China.

About this dataset

Context

The dataset illustrates the median household income in Gas, spanning the years from 2010 to 2021, with all figures adjusted to 2022 inflation-adjusted dollars. Based on the latest 2017-2021 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2021, the median household income for Gas decreased by $7,548 (10.64%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $4,559 (6.51%) between 2010 and 2021.

Analyzing the trend in median household income between the years 2010 and 2021, spanning 11 annual cycles, we observed that median household income, when adjusted for 2022 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 6 years and declined for 5 years.

https://i.neilsberg.com/ch/gas-ks-median-household-income-trend.jpeg" alt="Gas, KS median household income trend (2010-2021, in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2021
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2022 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Gas median household income. You can refer the same here

The Utility Energy Registry (UER) is a database platform that provides streamlined public access to aggregated community-scale utility-reported energy data. The UER is intended to promote and facilitate community-based energy planning and energy use awareness and engagement. On April 19, 2018, the New York State Public Service Commission (PSC) issued the Order Adopting the Utility Energy Registry under regulatory CASE 17-M-0315. The order requires utilities under its regulation to develop and report community energy use data to the UER.

This dataset includes electricity and natural gas usage data reported at the ZIP Code level collected under a data protocol in effect between 2016 and 2021. Other UER datasets include energy use data reported at the city, town, village, and county level. Data collected after 2021 were collected according to a modified protocol. Those data may be found at https://data.ny.gov/Energy-Environment/Utility-Energy-Registry-Monthly-ZIP-Code-Energy-Us/g2x3-izm4.

Data in the UER can be used for several important purposes such as planning community energy programs, developing community greenhouse gas emissions inventories, and relating how certain energy projects and policies may affect a particular community. It is important to note that the data are subject to privacy screening and fields that fail the privacy screen are withheld.

The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and accelerate economic growth. reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

Recommended citation

Gütschow, J.; Günther, A.; Pflüger, M. (2021): The PRIMAP-hist national historical emissions time series v2.3 (1850-2019). zenodo. doi:10.5281/zenodo.5175154.

Gütschow, J.; Jeffery, L.; Gieseke, R.; Gebel, R.; Stevens, D.; Krapp, M.; Rocha, M. (2016): The PRIMAP-hist national historical emissions time series, Earth Syst. Sci. Data, 8, 571-603, doi:10.5194/essd-8-571-2016

Content

• Use of the dataset and full description
• Abstract
• Support
• Sources
• Files included in the dataset
• Notes
• Data format description (columns)
• References
• Changelog

Abstract

The PRIMAP-hist dataset combines several published datasets to create a comprehensive set of greenhouse gas emission pathways for every country and Kyoto gas, covering the years 1750 to 2019, and all UNFCCC (United Nations Framework Convention on Climate Change) member states as well as most non-UNFCCC territories. The data resolves the main IPCC (Intergovernmental Panel on Climate Change) 2006 categories. For CO₂, CH₄, and N₂O subsector data for Energy, Industrial Processes and Product Use (IPPU), and Agriculture are available. Due to data availability and methodological issues, version 2.3 of the PRIMAP-hist dataset does not include emissions from Land Use, Land-Use Change, and Forestry (LULUCF).

The PRIMAP-hist v2.3 dataset is an updated version of

Gütschow, J.; Günther, A.; Jeffery, L.; Gieseke, R. (2021): The PRIMAP-hist national historical emissions time series v2.2 (1850-2018). zenodo. doi:10.5281/zenodo.4479172.

The Changelog indicates the most important changes. You can also check the issue tracker on github.com/JGuetschow/PRIMAP-hist for additional information on issues found after the release of the dataset.

Use of the dataset and full description

Before using the dataset, please read this document and the article describing the methodology, especially the section on uncertainties and the section on limitations of the method and use of the dataset.

Gütschow, J.; Jeffery, L.; Gieseke, R.; Gebel, R.; Stevens, D.; Krapp, M.; Rocha, M. (2016): The PRIMAP-hist national historical emissions time series, Earth Syst. Sci. Data, 8, 571-603, doi:10.5194/essd-8-571-2016

Please notify us (johannes.guetschow@pik-potsdam.de) if you use the dataset so that we can keep track of how it is used and take that into consideration when updating and improving the dataset.

When using this dataset or one of its updates, please cite the DOI of the precise version of the dataset used and also the data description article which this dataset is supplement to (see above). Please consider also citing the relevant original sources when using the PRIMAP-hist dataset. See the full citations in the References section further below.

Since version 2.3 we use the data formats developed for the PRIMAP2 climate policy analysis suite: PRIMAP2 on GitHub. The data is published both in the interchange format which consists of a csv file with the data and a yaml file with additional metadata and the native NetCDF based format. For a detailed description of the data format we refer to the PRIMAP2 documentation.

We have also, for the first, time included files with more than three significant digits. This file is mainly aimed at people doing policy analysis using the country reported data scenario (HISTCR). Using the high precision data they can avoid questions on discrepancies with the reported data. The uncertainties of emissions data do not justify the additional significant digits and they might give a false sense of accuracy, so please use this version of the dataset with extra care.

Support

If you encounter possible errors or other things that should be noted, please check our issue tracker at github.com/JGuetschow/PRIMAP-hist and report your findings there. Please use the tag “v2.3” in any issue you create regarding this dataset.

If you need support in using the dataset or have any other questions regarding the dataset, please contact johannes.guetschow@pik-potsdam.de.

Sources

• Global CO₂ emissions from cement production v210505 (Andrew 2021) data, paper: Andrew (2019a), Andrew (2019b)
• BP Statistical Review of World Energy website: British Petroleum (2021)
• CDIAC data: Boden et al. (2017): Gilfillan et al. (2020), paper Gilfillan and Marland (2021)
• EDGAR versions 4.2 and 4.2 FT2010: EDGAR v4.2, EDGAR v4.2 FT2010: JRC and PBL (2011), Olivier and Janssens-Maenhout (2012)
• EDGAR version 6.0: data, website, Paper in prep.: Crippa et al. (n.d.), JRC (2021)
• EDGAR-HYDE 1.4 data: Van Aardenne et al. (2001), Olivier and Berdowski (2001)
• FAOSTAT database data: Food and Agriculture Organization of the United Nations (2021)/li>
• RCP historical data data, paper: Meinshausen et al. (2011)
• UNFCCC National Communications and National Inventory Reports for developing countries website, data: UNFCCC (2021c), Gieseke and Gütschow (2021)
• UNFCCC Biennial Update Reports website: UNFCCC (2021b)
• UNFCCC Common Reporting Format (CRF) website, paper, data: Gütschow et al. (2021), UNFCCC (2021a) (processed as described in Jeffery et al. (2018a))
• Official country repositories (non-UNFCCC)
  • Taiwan / Republic of China: website: Republic of China - Environmental Protection Administration (2020)
  • South Korea: website: Republic of Korea (2020)

Files included in the dataset

For each dataset we have three files: the .nc file contains the data and metadata in the native PRIMAP2 netCDF based format. The .csv file contains the data in a csv format following the specifications of the PRIMAP2 interchange format. The metadata for the interchange format file is included in the .yaml file.

• Guetschow-et-al-2021-PRIMAP-hist_v2.3_28_Jul_2021.X: The main dataset with numerical extrapolation of all time series to 2019 and three significant digits.
• Guetschow-et-al-2021-PRIMAP-hist_v2.3_no_extrap_28_Jul_2021.X: Variant without numerical extrapolation of missing values and not including the country groups mentioned in section [“country”] (three significant digits).
• Guetschow-et-al-2021-PRIMAP-hist_v2.3_no_rounding_28_Jul_2021.X: The main dataset with numerical extrapolation of all time series to 2019 and eleven significant digits.
• Guetschow-et-al-2021-PRIMAP-hist_v2.3_no_extrap_no_rounding_28_Jul_2021.csv: Variant without numerical extrapolation of missing values and not including the country groups mentioned in section [“country”] (eleven significant digits).
• PRIMAP-hist_v2.3_data-description.pdf: Data description including changelog.
• PRIMAP-hist_v2.3_updated_figures.pdf: Updated figures from the PRIMAP-hist paper published in ESSD.

Notes

• Emissions from international aviation and shipping are not included in the dataset.
• Emissions from Land Use, Land-Use Change, and Forestry (LULUCF) are not included in the main version of this dataset. They are included in the version without rounding as users need to take extra care when using LULUCF data as changes some of the year-toyear

Gasoline Prices in Russia increased to 0.69 USD/Liter in February from 0.62 USD/Liter in January of 2025. This dataset provides the latest reported value for - Russia Gasoline Prices - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Contents

• Use of the dataset and full description
• Support
• Abstract
• Sources
• Files included in the dataset
• Data format description (columns)
• Missing Data
• References

Use of the dataset and full description

A full description of a previous version of the dataset can be found in:

Jeffery, M. L., Gütschow, J., Gieseke, R., and Gebel, R.: PRIMAP-crf: UNFCCC CRF data in IPCC 2006 categories, Earth Syst. Sci. Data, 10, 1427-1438, https://doi.org/10.5194/essd-10-1427-2018, 2018

An update of the description paper for is under preparation.

If you use this dataset, we would appreciate a brief notification to the lead author (johannes.guetschow@pik-potsdam.de) with a description of how the data was used. This information can help to guide the production of future updates to the dataset.

New versions of the UNFCCC CRF data are released annually with an additional year of data. Some countries also submit revised versions of their data through the year. Where possible, the PRIMAP-crf data will be updated accordingly and a revised dataset released. Data releases with an additional year of data are indicated in the naming of the data - the year of data publication is indicated by the dataset name, e.g. PRIMAP-crf-2021 data includes data first released by countries in 2021. Inclusion of subsequent data revisions from the same year are indicated by the version number, for example PRIMAP-crf-2020-v2 includes all CRF2020 data published until 12th January 2021.

When using this dataset or one of its updates, please cite the DOI of the precise version of the dataset used and also the data description article which this dataset is supplement to (see above).

Since version 2020v2 we use the data formats developed for the PRIMAP2 climate policy analysis suite: PRIMAP2 on GitHub. The data is published both in the interchange format which consists of a csv file with the data and a yaml file with additional metadata and the native NetCDF based format. For a detailed description of the data format we refer to the PRIMAP2 documentation

Support

If you need support in using the dataset or have any other questions regarding the dataset, please contact Dr. Johannes Gütschow at johannes.guetschow@pik-potsdam.de.

If you wish to use the .csv file in excel but the data does not appear to display correctly, you need to set the delimiter character. To do so:

• highlight the first column
• Under the 'Data' tab, select 'Text to columns'
• In the first pop-up window, select 'Delimited'
• In the second pop-up, select 'comma' separated values
• No selection needed in the third pop-up, click Finish and the data should display correctly.

Abstract

PRIMAP-crf is a processed version of data reported by countries to the United Nations Framework Convention on Climate Change (UNFCCC) in the Common Reporting Format (CRF). The processing has three key aspects: 1) Data from individual countries and years are combined into one file. 2) Data is reorganised to follow the IPCC 2006 hierarchical categorisation. 3) 'Baskets' of gases are calculated according to different global warming potential estimates from each of the three most recent IPCC reports.

Sources

The original CRF data is all freely available via the UNFCCC website https://unfccc.int/ghg-inventories-annex-i-parties/2021. Please consider also citing this source in any work that you produce using PRIMAP-crf.

This dataset includes all 2021 CRF data available as of 19th April, 2021. For later data updates, please check the PRIMAP-crf page of the Paris Reality Check website https://www.pik-potsdam.de/paris-reality-check/primap-crf/ or updates to the Zenodo repository.

Files included in the dataset

Guetschow-et-al-2021-PRIMAP-crf_2021-v1.csv : primary data file with data in IPCC 2006 categories in PRIMAP2 interchange format
Guetschow-et-al-2021-PRIMAP-crf_2021-v1.yaml : metadata in PRIMAP2 interchange format for the primary csv data file
Guetschow-et-al-2021-PRIMAP-crf_2021-v1.nc : primary data file with data in IPCC 2006 categories in PRIMAP2 NetCDF format (metadata included)
Guetschow-et-al-2021-PRIMAP-crf96_2021-v1.csv : additional data file with data in IPCC 1996 categories in PRIMAP2 interchange format
Guetschow-et-al-2021-PRIMAP-crf96_2021-v1.yaml : metadata in PRIMAP2 interchange format for the additional csv data file
Guetschow-et-al-2021-PRIMAP-crf96_2021-v1.nc : additional data file with data in IPCC 1996 categories in PRIMAP2 NetCDF format (metadata included)
PRIMAP-crf-IPCC2006-category-codes.csv : definitions of IPCC 2006 category codes used in PRIMAP-crf
primap-crf-data-description-2021v1.pdf : data description document

Data format description (columns)

The PRIMAP-crf data in the comma-separated values (CSV) files is formatted consistently with the PRIMAP2 interchange format.

The data contained in each column is as follows:

source

Name of the data source. Here: PRIMAP-crf.

scenario (PRIMAP)

The scenario refers to the year of the UNFCCC submissions (in this case 2021), and the revision number (here v1). 2021v1 includes all 2021 data released until 19th April 2021. Previous versions are available for the emissions data reported in 2017 (Jeffery et al., 2018), 2018 (Gütschow et al., 2019), 2019 (Gütschow et al., 2020), 2020 (Gütschow et al., 2021)

provenance

Provenance of the data. Here: "measured" as it is an original source.

country (ISO3)

ISO 3166 three-letter country codes.

Additionally, the European Union is included as the sum of its 28 pre-Brexit member states with the code "EU28" and as the sum of it's 27 post-Brexit member states with the code "EU27BX". The EU data is the sum of the data of it's member states, not the data officially reported to the UNFCCC by the EU.

category (IPCC2006) (or category (IPCC1996))

IPCC (Intergovernmental Panel on Climate Change) 1996 or 2006 category codes. Please see the accompanying file PRIMAP-crf-IPCC2006-category-codes.csv for a definition of codes used for IPCC 2006 categories.

Data for 1996 categories are shared for the top level categories only, as defined below.

entity

The gases and gas baskets. Where a global warming potential (GWP) is used it is given in parentheses. GWP weighted data is only provided for the gas baskets KYOTOGHG, FGASES, HFCS, PFCS, OTHERHFCS, and OTHERPFCS. We use 100 year global warming potentials from either IPCC Second Assessment Report (SARGWP100), Assessment Report 4 (AR4GWP100), Assessment Report 5 (AR5GPW100), or Assessment Report 5 with carbon-cycle feedbacks (AR5CCFGWP100). Where no global warming potential is specified, quantities are given in absolute weights of the gas.

  | Code      | Description                   |
  | Code      | Description                   |
  | :------------- | :----------------------------------------------- |
  | CH4      | Methane                     |
  | CO2      | Carbon Dioxide                  |
  | N2O      | Nitrous Oxide                  |
  |        |                         |
  | SF6      | Sulfur Hexafluoride               |
  | NF3      | Nitrogen Trifluoride               |
  |        |                         |
  | HFC125     | Pentafluoroethane, HFC-125            |
  | HFC134     | Tetrafluoroethane, HFC-134            |
  | HFC134A    | Tetrafluoroethane, HFC-134a           |
  | HFC143     | Trifluoroethane, HFC-143             |
  | HFC143A    | Trifluoroethane, HFC-143a            |
  | HFC152A    | 1,1-Difluoroethane, HFC-152a           |
  | HFC227EA    | Heptafluoropropane, HFC-227a           |
  | HFC23     | Trifluoromethane, HFC-23             |
  | HFC236FA    | 1,1,1,3,3,3-hexafluoropropane, HFC-236fa     |
  | HFC245CA    | 1,1,2,2,3-pentafluoropropane, HFC-245ca     |
  | HFC245FA    | Enovate, HFC-245fa                |
  | HFC32     | Difluoromethane, HFC-32             |
  | HFC365MFC   | 1,1,1,3,3-pentafluorobutane, HFC-365mfc     |
  | HFC41     | Fluoromethane, HFC-41              |
  | HFC4310    | 1,1,1,2,3,4,4,5,5,5-decafluoropentane, HFC-43-10 |
  | OTHERHFCS   | Unspecified mix of HFCs (GWP as in reporting)  |
  | HFCS      | Hydrofluorocarbons (SAR)             |
  |        |                         |
  | C2F6      | Hexafluoroethane, C2F6              |
  | C3F8    

This dataset contains Saudi Arabia Oil Database for 2002-2021. Data from Joint Organisations Data Initiative. Follow datasource.kapsarc.org for timely data to advance energy economics research.

Ground-level (tropospheric) ozone (O3) exists at a natural background level but is also produced when nitrogen oxides (NOx) and volatile organic compounds from vehicle emissions, petrol fumes, industrial processes solvents, and other human-made sources react in the presence of heat and sunlight. It is the primary component of photochemical smog. Ozone also occurs naturally in the stratosphere, where it protects us from ultraviolet radiation – this ozone occasionally can mix downwards to ground level. Ozone is a colourless, odourless gas. Exposure to high concentrations of ozone can cause respiratory health problems and is linked to cardiovascular health problems and increased mortality. Those most at risk include people with asthma, children, older adults, and people who are active outdoors, such as outdoor workers. People with certain genetic characteristics and nutrient deficiencies are also at greater risk from ozone exposure. Ozone can also affect sensitive vegetation and ecosystems and can cause damage during the growing season. More information on this dataset and how it relates to our environmental reporting indicators and topics can be found in the attached data quality pdf.

This table contains consumer prices for electricity and gas. Weighted average monthly prices are published broken down into transport rate, delivery rates and taxes, both including and excluding VAT. These prices are published on a monthly basis. The prices presented in this table were used to compile the CPI up to May 2023. Prices for newly offered contracts were collected. Contract types that are no longer offered, but have been in previous reporting periods, are imputed. The average can therefore diverge from the prices paid for energy contracts by Dutch households.

Data available from January 2018 up to May 2023.

Status of the figures: The figures are definitive.

Changes as of 17 July 2023: This table will no longer be updated. Due to a change in the underlying data and accompanying method for calculcating average energy prices, a new table was created. See paragraph 3.

Changes as of 13 February: Average delivery rates are not shown in this table from January 2023 up to May 2023. With the introduction of the price cap, the average energy rates (delivery rates) of fixed and variable energy contracts together remained useful for calculating a development for the CPI. However, as a pricelevel, they are less useful. Average energy prices from January 2023 up to May 2023 are published in a customized table. In this publication, only data concerning new variable contracts are taken into account

When will new figures be published? Does not apply.