Data Sample
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Metadata
Key Terms and Abbreviations
This table provides explanations for commonly used abbreviations, industry terminology, technical terms, or specialized terms with the aim of facilitating easier reading and understanding of the data for those who will be purchasing this data product.
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- Finance
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The dataset provides insights on fossil fuel support measures in Norway, specifically aligned with the OECD methodology. It highlights support estimates for various fossil fuels, including natural gas and non-biodiesels, reported in NOK. This dataset includes mechanisms such as Consumer Support Estimates (CSE) across different stages of fuel use. The figures are derived from the OECD Companion to the Inventory of Support Measures for Fossil Fuels. The data is gathered annually, and the latest updates were released in November 2024, with preliminary estimates for 2023. It is essential for analyzing the economic impact of fossil fuel support policies.
This dataset represents the Quarterly Financial Report for U.S. corporations within the retail trade sector, specifically focusing on all other operating costs and expenses. The data is compiled by the Federal Reserve Bank of St. Louis. It includes financial figures reported in millions of dollars and is measured on a quarterly frequency. The dataset is not seasonally adjusted, providing an accurate reflection of the operating costs and expenses incurred by retail trade corporations over time.
This dataset contains data on loans under the Payroll Protection Program Liquidity Facility, focusing on weekly averages. It provides aggregated loan amounts that reflect the liquidity support extended to businesses during the designated period.
This dataset contains information about the Federal Reserve Bank's held gold coins from the New York Vault. It includes data measured in Fine Troy Ounces and is reported on a monthly frequency. The data is sourced from the Federal Reserve Bank of St. Louis and is not seasonally adjusted. Users can access the complete dataset with full metadata in multiple machine-readable formats.