Facebook
TwitterThis Annual GVA series is our most accurate estimate of Digital Sector GVA. These Economic Estimates are Accredited Official Statistics used to provide an estimate of the contribution of the Digital Sector and its associated subsectors to the UK, measured by GVA (gross value added).
This is the first release of provisional annual estimates for 2023, and Blue Book 2024 inclusive revisions to 2019 to 2022 annual estimates. The provisional Annual GVA estimates for 2023 for the Digital Sector will be revised in our next release, upon updates to underlying ABS data, and further revised in the following statistical release to include Blue Book 2025 revisions. Our next release is planned to include a full analytical report providing additional analysis on our produced GVA estimates.
This release includes a methodology update to the deflators used to remove the effects of inflation in our chained volume measure estimates. A summary of the revisions to 2019 to 2022 estimates as part of this release can be found in the accompanying revisions report.
This is a continuation of the Digital Sector Economic Estimates: Annual GVA release series, previously produced by the Department for Culture, Media and Sport (DCMS). Responsibility for Digital and Telecommunications policy now sits with the Department for Science, Innovation and Technology (DSIT).
Findings in this release are calculated based on the published Office for National Statistics (ONS) https://www.ons.gov.uk/economy/nationalaccounts/supplyandusetables/datasets/supplyanduseofproductsandindustrygvaukexperimental">Supply and Use Tables, ONS https://www.ons.gov.uk/economy/grossdomesticproductgdp/datasets/ukgdpolowlevelaggregates">Gross Domestic Product (GDP) low-level aggregates and the ONS https://www.ons.gov.uk/businessindustryandtrade/business/businessservices/methodologies/annualbusinesssurveyabs">Annual Business Survey (ABS).
The Supply and Use Tables (SUT) report balanced GVA at the 2-digit Standard Industrial Classification (SIC) code level up to 2022. SUT GVA is consistent with UK</a
Facebook
Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
The dataset contains information about world's biggest companies.
Among them you can find companies founded in the US, the UK, Europe, Asia, South America, South Africa, Australia.
The dataset contains information about the year the company was founded, its' revenue and net income in years 2018 - 2020, and the industry.
I have included 2 csv files: the raw csv file if you want to practice cleaning the data, and the clean csv ready to be analyzed.
The third dataset includes the name of all the companies included in the previous datasets and 2 additional columns: number of employees and name of the founder.
In addition there's tesla.csv file containing shares prices for Tesla.
Facebook
TwitterBusiness-critical Data Types We offer access to robust datasets sourced from over 13M job ads daily. Track companies’ growth, market focus, technological shifts, planned geographic expansion, and more: - Identify new business opportunities - Identify and forecast industry & technological trends - Help identify the jobs, teams, and business units that have the highest impact on corporate goals - Identify most in-demand skills and qualifications for key positions.
Fresh Datasets We regularly update our datasets, assuring you access to the latest data and allowing for timely analysis of rapidly evolving markets & dynamic businesses.
Historical Datasets We maintain at your disposal historical datasets, allowing for comprehensive, reliable, and statistically sound historical analysis, trend identification, and forecasting.
Easy Access and Retrieval Our job listing datasets are available in industry-standard, convenient JSON and CSV formats. These structured formats make our datasets compatible with machine learning, artificial intelligence training, and similar applications. The historical data retrieval process is quick and reliable thanks to our robust, easy-to-implement API integration.
Datasets for investors Investment firms and hedge funds use our datasets to better inform their investment decisions by gaining up-to-date, reliable insights into workforce growth, geographic expansion, market focus, technology shifts, and other factors of start-ups and established companies.
Datasets for businesses Our datasets are used by retailers, manufacturers, real estate agents, and many other types of B2B & B2C businesses to stay ahead of the curve. They can gain insights into the competitive landscape, technology, and product adoption trends as well as power their lead generation processes with data-driven decision-making.
Not seeing a result you expected?
Learn how you can add new datasets to our index.
Facebook
TwitterThis Annual GVA series is our most accurate estimate of Digital Sector GVA. These Economic Estimates are Accredited Official Statistics used to provide an estimate of the contribution of the Digital Sector and its associated subsectors to the UK, measured by GVA (gross value added).
This is the first release of provisional annual estimates for 2023, and Blue Book 2024 inclusive revisions to 2019 to 2022 annual estimates. The provisional Annual GVA estimates for 2023 for the Digital Sector will be revised in our next release, upon updates to underlying ABS data, and further revised in the following statistical release to include Blue Book 2025 revisions. Our next release is planned to include a full analytical report providing additional analysis on our produced GVA estimates.
This release includes a methodology update to the deflators used to remove the effects of inflation in our chained volume measure estimates. A summary of the revisions to 2019 to 2022 estimates as part of this release can be found in the accompanying revisions report.
This is a continuation of the Digital Sector Economic Estimates: Annual GVA release series, previously produced by the Department for Culture, Media and Sport (DCMS). Responsibility for Digital and Telecommunications policy now sits with the Department for Science, Innovation and Technology (DSIT).
Findings in this release are calculated based on the published Office for National Statistics (ONS) https://www.ons.gov.uk/economy/nationalaccounts/supplyandusetables/datasets/supplyanduseofproductsandindustrygvaukexperimental">Supply and Use Tables, ONS https://www.ons.gov.uk/economy/grossdomesticproductgdp/datasets/ukgdpolowlevelaggregates">Gross Domestic Product (GDP) low-level aggregates and the ONS https://www.ons.gov.uk/businessindustryandtrade/business/businessservices/methodologies/annualbusinesssurveyabs">Annual Business Survey (ABS).
The Supply and Use Tables (SUT) report balanced GVA at the 2-digit Standard Industrial Classification (SIC) code level up to 2022. SUT GVA is consistent with UK</a