Data sets from the Jersey Survey of Financial Institutions. The results of this survey are used in national accounts, and they are also featured in the finance and legal sector report.

This dataset contains agency revenue data for Adopted, Modified and five years of Financial Plan by Revenue Class, Revenue Category and Revenue Source (Revenue Structure) or FPS Group name. The numbers within can be summarized to match pages from either the Supporting Schedule, Departmental Estimate or the Expense, Revenue, Contact Budget. This dataset is updated three times per year after publication of the Preliminary, Executive and Adopted Budget, usually in January, April and June respectively.

The data set contains public finance details including the number of bank branches in function, ADP Budget estimates, Current revenue expenditure in KP, expected expendituree and receipt summary of KP.

The Maryland Department of Commerce collects and publishes its Commerce Consolidated Finance Tracker data to provide information on how the agency's grants, tax credits, equity investments and loan enhancements were distributed between FY 2016 and the most recent past fiscal year. Users can search and sort by company, amount, location and program.

The Quarterly Financial Accounts (QFA) present a complete and consistent set of quarterly financial data for all sectors of the Irish economy. They provide comprehensive information on the financial and investment activities of households, non-financial corporations, financial corporations, government and the rest of the world. The tables show nominal and not-seasonal and calendar adjusted stock and transaction values on a quarterly basis.

This dataset provides a structured and machine-readable collection of financial statements filed with the Companies Registration Office (CRO) in Ireland. It currently includes financial statements for the year 2022, with additional years to be added as they become available. The dataset aligns with the European Union’s Open Data Directive (Directive (EU) 2019/1024) and the Implementing Regulation (EU) 2023/138, which designates company and company ownership data as a high-value dataset. It is available for bulk download and API access under the Creative Commons Attribution 4.0 (CC BY 4.0) licence, allowing unrestricted reuse with appropriate attribution. By increasing transparency and enabling data-driven insights, this dataset supports public sector initiatives, financial analysis, and digital services development. The API endpoints can be accessed using these links - Query - https://opendata.cro.ie/api/3/action/datastore_search Query (via SQL) - https://opendata.cro.ie/api/3/action/datastore_search_sql

This dataset showcases the current operating budget for each department in the town. It is updated monthly to provide better insights into expenditures throughout the town.

Flat file data set of the data found in the Austin Finance Online eCheckbook application. The data contained in this dataset is for informational purposes only and contains expenditure information for the City of Austin. Certain Austin Energy transactions have been excluded as competitive matters under Texas Government Code Section 552.133 and City Council Resolution 20051201-002; therefore, the line amounts may not reflect the total check amount if certain Austin Energy invoices were included on the check. Please visit the Austin Finance Online website for a searchable front end to this data set.

Concept: Number of branches of finance companies in the South region Source: Information System on Entities Related to the BCB 24998-number-of-branches-of-finance-companies-in-the-south-region 24998-number-of-branches-of-finance-companies-in-the-south-region

Concept: Number of headquarters of finance companies in the Southeast region Source: Information System on Entities Related to the BCB 25580-number-of-headquarters-of-finance-companies-in-the-southeast-region 25580-number-of-headquarters-of-finance-companies-in-the-southeast-region

Content

The Global Financial Development Database is an extensive dataset of financial system characteristics for 206 economies. The database includes measures of (1) size of financial institutions and markets (financial depth), (2) degree to which individuals can and do use financial services (access), (3) efficiency of financial intermediaries and markets in intermediating resources and facilitating financial transactions (efficiency), and (4) stability of financial institutions and markets (stability).

For a complete description of the dataset and a discussion of the underlying literature, see: Martin Čihák, Aslı Demirgüç-Kunt, Erik Feyen, and Ross Levine, 2012. "Benchmarking Financial Systems Around the World." World Bank Policy Research Working Paper 6175, World Bank, Washington, D.C.

Context

This is a dataset hosted by the World Bank. The organization has an open data platform found here and they update their information according the amount of data that is brought in. Explore the World Bank using Kaggle and all of the data sources available through the World Bank organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using the World Bank's APIs and Kaggle's API.

Cover photo by Raphael Rychetsky on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

Finance Directorate Report 2023

Content

More details about each file are in the individual file descriptions.

Context

This is a dataset hosted by the World Bank. The organization has an open data platform found here and they update their information according the amount of data that is brought in. Explore World Bank's Financial Data using Kaggle and all of the data sources available through the World Bank organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

This dataset is distributed under the following licenses: Creative Commons Attribution 3.0 IGO

The dataset contains data from the maps of the administrative atlas Saxony. It covers the locations of the State Tax and Finance Office and the tax offices as well as their areas of responsibility.

Concept: Number of headquarters of finance companies in the Northeast region Source: Information System on Entities Related to the BCB 25578-number-of-headquarters-of-finance-companies-in-the-northeast-region 25578-number-of-headquarters-of-finance-companies-in-the-northeast-region

Three campaign finance datasets are contained in this open data set. Candidates, officeholders, and special purpose committees for the City of Houston are required to self...

These services help with money management, financial planning, and insurance education. These services are not all dementia-specific but are inclusive of those living with dementia or who are planning for future memory loss. We include larger organizations that provide these services but have not included individual/private financial planners.

FINANCIAL data, Agricultural Credit Corporation

A monthly updated list of all financial transactions over £25,000 made by the Department of Finance, as part of the NICS's commitment to transparency in expenditure.

"Neighborhood Financial Health (NFH) Digital Mapping and Data Tool provides neighborhood financial health indicator data for every neighborhood in New York City. DCWP's Office of Financial Empowerment (OFE) also developed NFH Indexes to present patterns in the data within and across neighborhoods. NFH Index scores describe relative differences between neighborhoods across the same indicators; they do not evaluate neighborhoods against fixed standards. OFE intends for the NFH Indexes to provide an easy reference tool for comparing neighborhoods, and to establish patterns in the relationship of NFH indicators to economic and demographic factors, such as race and income. Understanding these connections is potentially useful for uncovering systems that perpetuate the racial wealth gap, an issue with direct implications for OFE’s mission to expand asset building opportunities for New Yorkers with low and moderate incomes. This data tool was borne out of the Collaborative for Neighborhood Financial Health, a community-led initiative designed to better understand how neighborhoods influence the financial health of their residents.