The Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families' balance sheets, pensions, income, and demographic characteristics.

According to a survey conducted in South Korea in May 2025, about ** percent of respondents stated that they believed their household financial situation would get better within the next year. About ** percent expressed a more pessimistic view.

This data shows results of the Statista Global Consumer Survey conducted in the United States in 2022. During the survey, some ** percent of PayPal users stated that they feel well informed about their personal financial situation. Among the total U.S. online population, only ** percent said that the statement applied to them.

Table F is the Expenditure and Income for the Budget Year and Estimated Outturn for the previous Year. It contains –‘Expenditure’ and ‘Income’ Adopted by the Council for the Budget Year; 'Expenditure’ and ‘Income’ Estimated by the Chief Executive for the Budget Year; 'Expenditure’ and ‘Income’ Adopted by the Council for the previous Year; ‘Expenditure’ and ‘Income’ Estimated Outturn for the previous Year. Table F provides a breakdown of the Expenditure to Sub-Service level and Income to Income Source per Council Division contained in Table A.In the published Annual Budget document, Table F is published as a separate table for each Division.Section 1 of Table F contains Expenditure broken down by ‘Division’, ‘Service’ and ‘Sub-Service’. Section 2 of Table F contains Income broken down by ‘Division’, ‘Income Type’ and ‘Income Source’. The data in this dataset is best interpreted by comparison with Table F in the published Annual Budget document which can be found at https://www.sdcc.ie/en/services/our-council/policies-and-plans/budgets-and-spending/annual-budget/Data fields for Table F are as follows –Doc : Table Reference Heading : Indicates sections in the Table - Table F is comprised of two sections : Income and Expenditure. Heading = 1 for all Expenditure records; Heading = 2 for all Income records. Ref : Division Reference Ref_Desc : Division Description Ref1 : Service Reference for all Expenditure records (i.e. Heading = 1) or Income Type for all Income records (i.e. Heading = 2) Ref1_Desc : Service Description for all Expenditure records (i.e. Heading = 1) or Income Type for all Income records (i.e. Heading = 2) Ref2 : Sub-Service Reference for all Expenditure records (i.e. Heading = 1) or Income Source for all Income records (i.e. Heading = 2) Ref2_Desc : Sub-Service Description for all Expenditure records (i.e. Heading = 1) or Income Source for all Income records (i.e. Heading = 2) Adop : Amount Adopted by Council for Budget Year EstCE : Amount Estimated by Chief Executive for Budget Year PY_Adop : Amount Adopted by Council for previous Financial Year PY_Outturn : Amount Estimated Outturn for previous Financial Year

Budget 2022

This dataset contains the data from the Council’s Annual Budget. The budget is comprised of Tables A to F and Appendix 1 & 2. Each table is represented by a separate data file.Table B is the Expenditure and Income for the Budget Year and Estimated Outturn for the previous Year. It contains –‘Expenditure’ and ‘Income’ Adopted by the Council for Divisions and Services for the Budget Year‘Expenditure’ and ‘Income’ Estimated by the Chief Executive for Divisions and Services for the Budget Year‘Expenditure’ and ‘Income’ Adopted by the Council for Divisions and Services for the previous Year‘Expenditure’ and ‘Income’ Estimated Outturn for Divisions and Services for the previous Year.Table B provides a breakdown to Service level of the Expenditure and Income per Council Division contained in Table A.The data in this dataset is best interpreted by comparison with Table B in the published Annual Budget document which can be found at www.fingal.ieData fields for Table B are as follows –Doc : Table ReferenceHeading : Indicates sections in the Table - Table B is comprised of one section, therefore Heading value for all records = 1Ref : Division ReferenceRef_Desc : Division DescriptionRef1 : Service ReferenceRef1_Desc : Service DescriptionExp_Adop : Expenditure Adopted by Council for Budget YearInc_Adop : Income Adopted by Council for Budget YearEstCE_Exp : Expenditure Estimated by Chief Executive for Budget YearEstCE_Inc : Income Estimated by Chief Executive for Budget YearExp_Adop_C : Expenditure Adopted by Council for previous Financial YearInc_Adop_C : Income Adopted by Council for previous Financial YearOutturn_Exp_C_ : Expenditure Estimated Outturn for previous Financial YearOutturn_Inc_C_ : Income Estimated Outturn for previous Financial Year

Graph and download economic data for Share of Financial Assets Held by the 90th to 99th Wealth Percentiles (WFRBSN09139) from Q3 1989 to Q1 2025 about wealth, percentile, financial, assets, and USA.

Table E is the Analysis of Budget Income from Grants and Subsidies and LPT Self-Funding.Section 1 of Table E contains Income from the Department of Environment, Community and Local Government by Division including -‘Income’ by ‘Source of Income’ from Grants, Subsidies & LPT Self Funding for the Budget Year; ‘Income’ by ‘Source of Income’ from Grants and Subsidies and LPT Self Funding for the Budget Year. Section 2 of Table E contains Income from Other Departments and Bodies including –‘Income’ by ‘Source of Income’ from Grants and Subsidies for the Budget Year; ‘Income’ by ‘Source of Income’ from Grants and Subsidies for the Previous Financial Year. The data in this dataset is best interpreted by comparison with Table E in the published Annual Budget document which can be found at https://www.sdcc.ie/en/services/our-council/policies-and-plans/budgets-and-spending/annual-budget/Data fields for Table E are as follows –Doc : Table Reference Heading : Indicates sections in the Table - Table E is comprised of two sections, therefore Heading = 1 for all records in the first section; Heading = 2 for all records in the second section. Ref : Source of Income Reference Desc : Source of Income Description Inc : Income Adopted by Council for Budget Year PY : Income for Previous Financial Year Sort : Sorting Code

This dataset contains the data from the Council’s Annual Budget. The budget is comprised of Tables A to F and Appendix 1 and 2. Each table is represented by a separate data file.Table D is the Analysis of Budget Income from Goods and Services. It contains –‘Income’ for Goods and Services by ‘Source of Income’ for the Budget Year‘Income’ for Goods and Services by ‘Source of Income’ for the Previous Financial YearThe data in this dataset is best interpreted by comparison with Table D in the published Annual Budget document which can be found at www.fingal.ieData fields for Table D are as follows –Doc : Table ReferenceHeading : Indicates sections in the Table - Table D is comprised of one section, therefore Heading value for all records = 1Ref : Source of Income ReferenceDesc : Source of Income DescriptionInc : ‘Income’ Adopted by Council for Budget YearPY : ‘Income’ for Previous Financial YearSort : Sorting Code

This dataset includes financial information derived from adopted budgets reported by Connecticut municipalities to the Office of Policy and Management via OPM’s Fiscal Health Monitoring System (FHMS) portal. The dataset includes key summary data from the budgets for all 169 municipalities and the City of Groton dating back to FY22. For questions regarding the budgetary information included in a municipality’s adopted budget, please contact the municipality directly. For questions or comments on the FHMS please contact us at opm-fhms@ct.gov The complete adopted municipal budgets filed with OPM dating back to FY 2022 are available via the Municipal Budget Database System located at https://opm-mbds.ct.gov/ords/r/fhms/mbds/home.

This dataset includes recommended positions and salaries for 2022 by title (without names) and salary. The dataset is excerpted from the 2022 Budget Recommendations, which is the line-item budget proposed by the Mayor to the City Council for approval. Disclaimer: the “Total Budgeted Unit” column displays either A) the number of employees AND vacancies associated with a given position, or B) the number of budgeted units (ie. hours/months) for that position. “Position Control” determines whether Total Budgeted Units column will count employees and vacancies or hours/months. If a Position Control is 1, then employees and vacancies are displayed; if a Position Control is 0, then the total number of hours/months recorded is displayed. This dataset follows the format of the equivalent datasets from past years except that Division Code, Section Code, Subsection Code, and Position Control have changed from Number to Text (not all in the same year) in order to accommodate non-numeric values. For more information about the budget process, visit the Budget Documents page: http://j.mp/lPotWf.

City Budget Summary and Recommendations

City Budget Summary and Recommendations for FY2022

By data.world's Admin [source]

About this dataset

This dataset provides information on the city budget for the fiscal year 2022. It includes various financial data such as actuals for the years 2019 and 2020, budget for 2021, and a recommended budget for 2022. The dataset includes categorical variables such as Fund, Acct-Type, Acct-Div, Acct-Dept, Summ-Acct, and GL-Account which specify different aspects of the accounts in the city's finance system. These variables help categorize and classify accounts based on their type, department, division, summary code, general ledger account code, and fund affiliation. Additionally, there are numeric variables such as actuals for 2019 and 2020 to represent the financial values associated with each account in those years. The dataset also provides budgeted amounts for the years 2021 and forecasted budget amounts for 2023. This information is crucial for analyzing the city's financial situation over time and making informed decisions regarding resource allocation and expenditure planning

How to use the dataset

Introduction:

• Fund: The Fund column categorizes each account into specific funding sources or funding types. It provides insights into where the money comes from or which program it is allocated towards.

• Acct-Type: The Acct-Type column classifies each account based on its type, such as revenue, expense, assets, liabilities, etc. This classification helps in understanding different financial aspects of various accounts.

• Acct-Div: The Acct-Div column identifies the division to which each account belongs within the city's organization structure. It provides a hierarchical view of how accounts are divided based on their functions or responsibilities.

• Acct-Dept: The Acct-Dept column specifies the department responsible for managing each account within the city administration. This information helps identify which departments are allocated budgeted amounts and track their finances separately.

• Summ-Acct: The Summ-Acct column represents a summary account code that groups multiple related detailed accounts together into broader categories for simplification and analysis purposes.

• GL-Account: The GL-Accountcolumn refers to general ledger codes assigned to individual accounts in order to track transactions accurately across various financial statements.

• Actuals (2019-Actual & 2020-Actual): These columns present actual financial data for 2019 and 2020 respectively—summarizing income/expenditure details that were recorded during those years.

• Budget (2021-Budget): The 2021-Budget column displays the budgeted amount for the year 2021. It represents the city's projected income and expenses for that specific period.

• Recommendations (2022-Recommend): The 2022-Recommend column suggests a recommended budget amount for the upcoming fiscal year, which helps in planning and decision-making processes.

• Forecast (2023-Forecast): The 2023-Forecast column showcases a projected or forecasted budget amount for the year 2023. This estimation helps anticipate future financial requirements and plan accordingly

Research Ideas

• Financial Analysis: This dataset can be used for financial analysis by comparing the actual financial data for different years (2019 and 2020) with the budgeted amounts for 2021 and recommended amounts for 2022. It can help identify any discrepancies or trends in spending or revenue across different funds, departments, and divisions.
• Budget Planning: The dataset provides information on the budgeted amounts for 2021 and recommended amounts for 2022 and 2023. It can be used to assist in budget planning by analyzing previous actuals, forecasts, and recommendations to determine appropriate funding allocations for different accounts, departments, and divisions.
• Performance Evaluation: By comparing the actual financial data with the budgeted amount and forecasted amount, this dataset can help evaluate the performance of different accounts, departments, or divisions within an organization. It can provide insights into areas where there may have been overspending or underspending compared to initial budgets or forecasts. This information can be valuable in making strategic decisions to improve future financial performance

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

**License: [Open Database License (ODbL) v1.0](https://opendatacommons.org/licenses/odbl/...

The data in this dataset is best interpreted by comparison with Table A in the published Annual Budget document which can be found at https://www.sdcc.ie/en/services/our-council/policies-and-plans/budgets-and-spending/annual-budget/Section 1 of Table A contains the Budgeted ‘Expenditure’ and ‘Income’ per Council Division and the ‘Estimated Outturn’ per Council Division for the previous Financial Year. The ‘Gross Revenue Expenditure and Income’ is the total of section 1. Section 2 of Table A contains ‘Provision of Debit Balance’. The ‘Adjusted Gross Expenditure and Income’ is the total of Section 1 and Section 2. Section 3 of Table A contains ‘Provision for Credit Balance’, ‘Local Property Tax’ and ‘Pension Related Deduction’. The ‘Amount of Rates to be Levied’ is the ‘Adjusted Gross Expenditure and Income’ minus the total of Section 3. Section 4 of Table A contains ‘Net Effective Valuation’. The ‘General Annual Rate on Valuation’ is the ‘Amount of Rates to be Levied’ divided by the ‘Net Effective Valuation’. Data fields for Table A are as follows –Doc : Table Reference Heading : Indicates sections in the Table - Table A is comprised of four sections; each section is represented by a sequential number in the heading field i.e. Heading = 1 for all records in the first section; etc. Ref : Item Reference (In section 1 = Division Reference; In other sections, DB = Provision for Debit Balance; CB = Provision for Credit Balanc;LPT = Local Property Tax; PRD = Pension Related Deduction; NEV = Net Effective Valuation) Description : Item Description Expenditure : Expenditure for this Item Income : Income for this Item PY : Estimated Outturn for this Item for previous Financial Year.

As of 2022, over ** percent of Hungarians based their financial decisions on specialist product comparisons or best-buy guidance. Furthermore, another ** percent of respondents relied on the recommendation of bank staff or other financial advisors.

Financial statements (financial statements) Financial report - 2022 edition

PDF published semi-annually which displays personal income and corporation tax revenue for the State of California.

This data set contains a comprehensive mapping of financial identification codes and their corresponding characteristics for public sector organizations reported in the U.S. Census Bureau’s 2022 Survey of State and Local Government Finances. This is a file of unit-level identifiers, classification variables, and data integration keys for matching against expenditure and revenue records. This data set is a primary resource for local government finance analysis, studies of fiscal federalism, and transparency of finances.

Total Union Budget Allocation for Financial Services under Ministry of Finance. The expenditure includes Secretariat,Special Court and Office of the Custodian, Other Administrative Services,National Housing Bank, Export-Import Bank of India(EXIM Bank), capital of NABARD, Regional Rural Banks(RRBs), Recapitalisation of Public Sector Banks, Financial support to Small Industries Development Bank of India (SIDBI) ,Interest Subsidy to LIC for Pension Plan for Senior citizens, Swavalamban Scheme,Government's contribution to LIC towards Pradhan Mantri Jan Dhan Yojna,Government's contribution to Aam Aadmi Bima Yojana

SCE: Credit Availability: Year Ago: Somewhat Easier data was reported at 8.882 % in Apr 2025. This records an increase from the previous number of 7.468 % for Mar 2025. SCE: Credit Availability: Year Ago: Somewhat Easier data is updated monthly, averaging 17.195 % from Jun 2013 (Median) to Apr 2025, with 143 observations. The data reached an all-time high of 24.215 % in Jan 2018 and a record low of 5.976 % in Aug 2022. SCE: Credit Availability: Year Ago: Somewhat Easier data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.H085: Survey of Consumer Expectations: Financial.