The previous review in this series introduced the notion of data description and outlined some of the more common summary measures used to describe a dataset. However, a dataset is typically only of interest for the information it provides regarding the population from which it was drawn. The present review focuses on estimation of population values from a sample.

List of Top Authors of Hungarian Statistical Review sorted by citations.

The MSCI energy equity indices for 21 major countries around the world are collected and collated for this study. Bloomberg is the source of data. The countries clustered for each region—viz., Asia Pacific and Africa, Europe, and North and Latin America—are listed below with their respective Bloomberg indices. The countries are selected by energy consumption data for the last ten years (collected from BP statistical report of World Energy 2016, 2017 & 2018, visit https://www.bp.com/en/global/corporate/energy-economics/statistical-review-of-world-energy.html). Since MSCI energy indices are not available for Middle Eastern regions, none of the nations from that region has been included in the study. Due to the unavailability of energy indices for some nations, e.g., Germany in Europe, and Mexico in Latin America are not included in the study.

Compendium of Northern Ireland Agricultural statistics. Source agency: Agriculture and Rural Development (Northern Ireland) Designation: National Statistics Language: English Alternative title: Statistical Review of Northern Ireland Agriculture

Anthropogenic CO2 emissions for Europe based on EDGARv4.3 (Janssens-Maenhout et al., 2019, https://doi.org/10.5194/essd-11-959-2019, fuel type and category specific emissions were provided by Greet Janssens-Maenhout, EU-JRC), BP statistics 2021 (https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/xlsx/energy-economics/statistical-review/bp-stats-review-2021-all-data.xlsx), temporal variations based on MACC-TNO (Denier van der Gon et al., 2011, https://atmosphere.copernicus.eu/sites/default/files/2019-07/MACC_TNO_del_1_3_v2.pdf), temporal extrapolation and disaggregation described in COFFEE (Steinbach et al. 2011, https://doi.org/10.5194/acp-11-6855-2011) Gerbig, C., Koch, F. (2021). European anthropogenic CO2 emissions for 2009 based on EDGARv4.3 and BP statistics 2021, 2009, https://hdl.handle.net/11676/Csnzc7U5s89fY9Q_qs-yuq1

This annual report provides program and demographic information on the people who receive Social Security Disability Insurance Program benefits. This edition presents a series of detailed tables on the three categories of beneficiaries: disabled workers, disabled widowers, and disabled adult children. Numbers presented in these tables may differ slightly from other published statistics because all tables, except those using data from the Survey of Income and Program Participation, are based on 100 percent data files. Report for 2013.

The Toronto’s Police Service Annual Statistical Report is a comprehensive overview of police related statistics including reported crimes, victims of crime, search of persons, firearms, traffic collisions, personnel, budget, communications, public complaints, enforcement and other administrative information.This report is one of several components of the ASR open data release. More detailed information, a comprehensive guide to this report and the rest of the components of the ASR can be found here: data.torontopolice.on.ca/pages/annualstatisticalreport

Snapshot img

Gasification Market Size 2024-2028

The gasification market size is forecast to increase by USD 116.6 billion at a CAGR of 4.36% between 2023 and 2028.

The gasification market is experiencing a surge in growth, propelled by the world's insatiable and ever-increasing energy demands, which necessitate diversified and alternative energy sources. The abundant global supply of coal provides a readily available and cost-effective feedstock for gasification processes, further fueling market expansion. While high operating and maintenance costs remain a significant challenge, they simultaneously present compelling opportunities for innovation and cost reduction strategies.This process is crucial for the chemical, liquid fuel, power, and gaseous fuel segments, as it enables the production of ammonia, methanol, electricity, and hydrogen.
Technological advancements are paramount, with improvements in efficiency and emission reduction crucial for long-term market success and sustainability. These advancements, coupled with the imperative for cost-effective and environmentally sound energy solutions, position the gasification market for continued and significant growth.

What will be the Size of the Gasification Market During the Forecast Period?

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The market encompasses various types of gasifiers, including fixed bed, entrained-flow, and fluidized-bed gasifiers, which convert carbonaceous raw materials into syngas, a mixture of hydrogen, carbon monoxide, and other gases. The coal industry, petroleum, natural gas, biomass/waste, and water are primary feedstocks for gasification. Market dynamics are influenced by industrialization and urbanization, driving the demand for alternative energy sources and reducing reliance on traditional fossil fuels.
The BP Statistical Review indicates a growing trend towards thermochemical conversion, with gasification gaining traction as a viable solution for producing cleaner fuels and reducing greenhouse gas emissions. Carbon dioxide and water are by-products of the process, making gasification an environmentally friendly alternative to conventional fuel production methods.

How is this Gasification Industry segmented and which is the largest segment?

The gasification industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Feedstock

  Coal
  Biomass/waste
  Natural gas
  Petroleum


Application

  Chemical
  Liquid fuel
  Gaseous fuel
  Power


Gasifier Medium

  Air
  Oxygen
  Vapor


Type

  Fixed Bed
  Fluidized Bed
  Entrained Flow



Geography

  APAC

    China
    India


  Europe

    Germany
    UK


  North America

    US


  Middle East and Africa



  South America

By Feedstock Insights

The coal segment is estimated to witness significant growth during the forecast period.

Coal gasification is a critical process In the global energy sector, particularly In the context of increasing coal demand and the push towards environmental sustainability. According to the International Energy Agency (IEA), global coal demand grew by over 1.4% in 2023 due to increase economic expansion, driving industrial output and electricity consumption. However, countries are focusing on net-zero emissions to mitigate environmental concerns. Coal gasification offers a solution by transforming coal into clean chemicals, liquid and gaseous fuels, power, and blends, utilizing indigenous carbonaceous feedstocks. This approach enables nations to meet their energy security and environmental objectives while using coal.

The gasification process involves thermochemical conversion, producing syngas, which is a mixture of hydrogen, carbon monoxide, and other impurities like sulfur and particulate matter. This syngas can be further processed to generate ammonia, methanol, electricity, and hydrogen. Coal, biomass, and municipal solid waste are common feedstocks. Gasifiers include fixed bed, fluidized bed, and entrained-flow types. The chemical segment includes Dimethyl ether, synthetic natural gas, and higher alcohols, while the liquid fuel segment encompasses urea, pet coke, and ash. The power segment utilizes carbon dioxide (CO2), steam, and oxygen for power generation. Gasification's environmental benefits include reduced greenhouse gas emissions and improved waste management through carbon capture technologies.

Companies like Larsen & Toubro are investing in coal gasification plants to meet the growing demand for cleaner energy sources.

Get a glance at the Gasification Industry report of share of various segments Request Free Sample

The Coal segment was valued at USD 248.60 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

APAC is estimated to contr

This statistic shows the share of adults who read reviews before watching a movie in the United States as of August 2018, broken down by age group. The findings show that ** percent of respondents aged between 45 and 54 years old said they always read movie reviews before seeing a movie, the largest share amongst all age groups surveyed by the source. Interestingly, the share of respondents who said that they sometimes read a film review before viewing the film is the same for 18 to 24 year olds and those ages 55 or above.

This dataset is compiled by the Department of Statistics of the Ministry of the Interior, covering various statistical topics such as population, household registration, land, construction, migration, disasters, and social welfare. It provides the basis for policy planning and research analysis, and its contents have statistical reference value after data cleaning and verification.

Review of the Pacific Pilotage Authority’s access to information and privacy activities from April 1, 2024 to March 31, 2025.

Comprehensive YouTube channel statistics for Mr H Reviews, featuring 421,000 subscribers and 264,393,590 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Entertainment category. Track 9,243 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

Brochure Theme: S0 – Statistical data – General Under Theme: S000.A2 – Bulletin of Statistics

This report describes the statistical inference procedures used to produce design-based estimates for the 2010 National Survey on Drug Use and Health (NSDUH). These design-based estimates are presented in the 2010 national findings report detailed tables, as well as the 2010 mental health findings report and detailed tables.

Annual report on ISED's performance in its administration of the Privacy Act for 2022-2023.

Recommended citation

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.

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)
• Changelog
• References

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.

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.

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

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 1850 to 2018, 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 is available. Due to data availability and methodological issues, version 2.2 of the PRIMAP-hist dataset does not include emissions from Land Use, Land-Use Change, and Forestry (LULUCF).

The PRIMAP-hist v2.2 dataset is an updated version of

Gütschow, J.; Jeffery, L.; Gieseke, R.; Günther, A. (2019): The PRIMAP-hist national historical emissions time series v2.1 (1850-2017). GFZ Data Services. doi:10.5880/pik.2019.018.

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.

Sources

• Global CO₂ emissions from cement production v4 (Andrew 2019) data, paper Andrew (2019a), Andrew (2019b)
• BP Statistical Review of World Energy website: British Petroleum (2020)
• CDIAC data: Boden et al. (2017)
• 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 5.0: data, paper: JRC and PBL (2017), Crippa et al. (2019)
• 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 (2020)
• RCP historical data data, paper: Meinshausen et al. (2011)
• UNFCCC National Communications and National Inventory Reports for developing countries website, data: UNFCCC (2020b), Gieseke and Gütschow (2020)
• UNFCCC Biennial Update Reports website: UNFCCC (2020a)
• UNFCCC Common Reporting Format (CRF) website, paper, data: Gütschow et al. (2020b) UNFCCC (2019a) (processed as described in Jeffery et al. (2018a). PRIMAP-hist contains updated CRF data for Hungary, compared to the published PRIMAP-crf dataset)

Files included in the dataset

• PRIMAP-hist_v2.2_19-Jan-2021.csv: With numerical extrapolation of all time series to 2018.
• PRIMAP-hist_no_extrapolation_v2.2_19-Jan-2021.csv: Without numerical extrapolation of missing values and not including the country groups mentioned in section country.
• PRIMAP-hist_v2.2_data-description.pdf: Data description including changelog.
• PRIMAP-hist_v2.2_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 this dataset.

Data format description (columns)

“scenario”

• HISTCR: In this scenario country-reported data (CRF, BUR, UNFCCC) is prioritized over third-party data (CDIAC, FAO, Andrew, EDGAR, BP).
• HISTTP: In this scenario third-party data (CDIAC, FAO, Andrew, EDGAR, BP) is prioritized over country-reported data (CRF, BUR, UNFCCC)

“country”

ISO 3166 three-letter country codes or custom codes for groups:

Code    Region description
----    -------
EARTH   Aggregated emissions for all countries.
ANNEXI   Annex I Parties to the Convention
NONANNEXI Non-Annex I Parties to the Convention
AOSIS   Alliance of Small Island States
BASIC   BASIC countries (Brazil, South Africa, India and China)
EU28    European Union
LDC    Least Developed Countries
UMBRELLA  Umbrella Group

Table: Additional “country” codes.

“category”

IPCC (Intergovernmental Panel on Climate Change) 2006 categories for emissions. Some aggregate sectors have been added to the hierarchy. These begin with the prefix IPCM instead of IPC.

-----------------------------------------------------------------------
Category code Description




IPCM0EL    National Total excluding LULUCF
IPC1     Energy
IPC1A     Fuel Combustion Activities
IPC1B     Fugitive Emissions from Fuels
IPC1B1    Solid Fuels
IPC1B2    Oil and Natural Gas
IPC1B3    Other Emissions from Energy Production
IPC1C     Carbon Dioxide Transport and Storage
       (currently no data available)
IPC2     Industrial Processes and Product Use (IPPU)
IPC2A     Mineral Industry
IPC2B     Chemical Industry
IPC2C     Metal Industry
IPC2D     Non-Energy Products from Fuels and Solvent Use
IPC2E     Electronics Industry
       (no data available as the category is only used for
       fluorinated gases which are only resolved at the level
       of category IPC2)
IPC2F     Product uses as Substitutes for Ozone Depleting Substances
       (no data available as the category is only used for
       fluorinated gases which are only resolved at the level
       of category IPC2)
IPC2G     Other Product Manufacture and Use
IPC2H     Other
IPCMAG    Agriculture, sum of IPC3A and IPCMAGELV
IPC3A    

The Toronto’s Police Service Annual Statistical Report is a comprehensive overview of police related statistics including reported crimes, victims of crime, search of persons, firearms, traffic collisions, personnel, budget, communications, public complaints, enforcement and other administrative information.

This report is one of several components of the ASR open data release. More detailed information, a comprehensive guide to this report and the rest of the components of the ASR can be found here: data.torontopolice.on.ca/pages/annualstatisticalreport