Return To Work Credit is a financial incentive to encourage claimants to move into work from incapacity benefits. It is payable to claimants who satisfy the eligibility criteria. The database contains individual level data, as well as geographic and financial information.

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The Department of Taxation and Finance annually publishes statistical information on the New York State real property tax credit (RPTC). Summary data are presented for taxpayers who were full-year New York state residents. Taxpayers may claim the credit even if they had no New York State personal income tax liability and, therefore, were not required to file an income tax return. Data are shown for the total number of claimants and credit claimed by county, age under and over 65, type of residence, filing category, and household gross income.

Customer level data containing details of payments rejected by customers' banks Location: GB wide data Time Period: 14 months Update Frequency: Daily Financial Information: Included Data: Customer personal details, benefit data, bank details, financial details

Explore National Credit Exchange through data • Key facts: employees, revenues, company type, ESG score • Real-time news, visualizations and datasets

This data collection was developed for general use as part of CURRENT POPULATION SURVEY, 1973, AND SOCIAL SECURITY RECORDS: EXACT MATCH DATA (ICPSR 7616). This file merges information from two administrative sources: the Internal Revenue Service (IRS) and the Social Security Administration (SSA). The starting point of the merged dataset was the IRS Tax Model File of Individual Income Tax Returns, a public-use IRS file designed to simulate the administrative and revenue impact of tax law changes. It contains over 100,000 federal income tax returns subsampled from the STATISTICS OF INCOME sample of the following 1972 tax forms: (1) 1040, Individual Income Tax Return (and its associated schedules), (2) 1040A, Individual Income Tax Return, Short Form, (3) 4625, Computation of Minimum Tax, (4) Maximum Tax on Earned Income, (5) Application for Automatic Extension of Time to File United States Individual Income Tax Return, (6) 4874, Credit for Wages Paid or Incurred in Work Incentive (WIN) Programs, and (7) 4875, Presidential Election Campaign Fund Statement. The nearly 170 items extracted from these tax forms include exemptions, earned and unearned income, income loss, foreign tax credit, medical and dental expenses over 3 percent of AGI, state and local income taxes, and capital gains and losses. To this individual income tax data, the Social Security Administration matched (using the unique identifier of Social Security number) selected demographic information (including such variables as the race, sex, and age of the primary taxpayer) from the SSA's longitudinal summary earnings files for income year 1972. The data are weighted. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR07667.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

The credit derivative market is projected to expand significantly in the coming years, driven by increasing demand for risk management and diversification. The market is estimated to be valued at XXX million in 2025 and is expected to grow at a CAGR of XX% to reach XXX million by 2033. The growth is attributed to the increasing demand for hedging against credit risk, as well as the growing popularity of speculative and arbitrage strategies. Key trends in the credit derivative market include the increasing use of credit default swaps (CDS) and total return swaps (TRS) for hedging purposes. CDSs allow investors to transfer credit risk to another party, while TRS provide investors with exposure to the total return of a reference asset. Additionally, there is a growing trend towards the use of credit-linked notes (CLNs) and credit spread options for speculative purposes. CLNs are structured notes that are linked to the performance of a reference asset, while credit spread options allow investors to speculate on the spread between the yields of different credit instruments.

Concept: Primary income indicates the amounts to pay or receive in exchange for the temporary use of financial resources, work, or nonproduced nonfinancial assets (i.e. salaries, investment income and other primary incomes). This account shows redistribution of income, when resources for current purposes are provided by one party without anything of economic value being supplied as a direct return to that party. Examples include personal transfers and current international assistance (BPM6 guide). Source: Central Bank of Brazil – Department of Economics 22801-primary-income---monthly---credit 22801-primary-income---monthly---credit

These data are derived from returns submitted to the Australian Prudential Regulation Authority (APRA) by banks authorised under the Banking Act 1959. APRA assumed responsibility for the supervision …Show full descriptionThese data are derived from returns submitted to the Australian Prudential Regulation Authority (APRA) by banks authorised under the Banking Act 1959. APRA assumed responsibility for the supervision and regulation of banks on 1 July 1998. Data prior to that date were submitted to the RBA. Prior to March 2002, banks reported quarterly to APRA on the Off-balance Sheet Business Return. From that date until the end of 2007, banks reported quarterly on ARF 112.2: Capital Adequacy – Off-balance Sheet Business. Following the introduction of a new capital framework (Basel II) on 1 January 2008, the data between March 2008 and March 2011 were reported on either ARF 112.2: Capital Adequacy – Off-balance Sheet Business, ARF 112.2A: Standardised Credit Risk – Off-balance Sheet Exposures, or ARF 118.0: Off-balance Sheet Business, depending on whether the bank had been approved by APRA to use a Basel II advanced approach to credit risk. Following the revocation of Australian Prudential Standard APS150 on 30 June 2011, banks using the advanced approach to credit risk have been required to report data with reference to the Basel II framework. From June 2011, data are reported on ARF 112.2A: Standardised Credit Risk – Off-balance Sheet Exposures, ARF 118.0: Off-balance Sheet Business, or ARF 118.1: Other Off-balance Sheet Exposures, depending on whether the bank has been approved by APRA to use a Basel II advanced approach to credit risk. ‘Consolidated group’, for a locally incorporated bank, refers to the global operations of the bank and its subsidiaries, excluding those involved in insurance, funds management/trustee and non-financial business. For a foreign bank authorised to operate in Australia as a branch, the data relate to the operations of the branch only. Figures are as at the last business day of the quarter and refer to the principal amount (face value) of the transaction. From March 2002, banks are required to report separately activity in the banking and trading books for interest rate contracts, foreign exchange contracts, and other derivative contracts. Banking and trading book figures are added to produce the data reported in the table. Before March 2002, exposures were netted across the banking and trading books (except credit derivatives). This has necessitated a break in the series. ‘Direct credit substitutes’ covers any irrevocable obligations that carry the same credit risk as a direct extension of credit. This includes the issue of guarantees, confirmation of letters of credit, standby letters of credit serving as financial guarantees for loans, securities and any other financial liabilities, and certain bills endorsed under bill endorsement lines. ‘Direct credit substitutes’ does not include credit derivatives, which are shown separately. ‘Trade- and performance-related items’ covers contingent liabilities arising from trade-related obligations secured against an underlying shipment of goods and any irrevocable obligations to make a payment to a third party if a counterparty fails to perform a contractual non-monetary obligation. This includes documentary letters of credit issued, acceptances on trade bills, shipping guarantees issued, issue of performance bonds, bid bonds, warranties, indemnities, standby letters of credit in relation to a non-monetary obligation of a counterparty under a particular transaction, and any other trade- and performance-related items. ‘Commitments and other non-market-related items’ includes lending of securities or posting of securities as collateral, assets sold with recourse, forward asset purchases, partly paid shares and securities, placements of forward deposits, underwriting facilities, standby lines of credit, redraw facilities, undrawn credit card facilities, and all other non-market-related off-balance sheet items. ‘Interest rate contracts – OTC forwards’ covers single currency over-the-counter interest rate forwards including forward rate agreements. ‘Interest rate contracts – OTC swaps’ covers single currency over-the-counter interest rate swaps. ‘Interest rate contracts – Other’ covers other single currency over-the-counter and exchange-traded interest rate contracts including interest rate options written and purchased. ‘Foreign exchange contracts – OTC forwards’ covers over-the-counter foreign exchange forwards including foreign exchange forward contracts involving gold. ‘Foreign exchange contracts – OTC swaps’ covers over-the-counter foreign exchange swaps including cross currency interest rate swaps and foreign exchange swap contracts involving gold. ‘Foreign exchange contracts – Other’ covers other over-the-counter and exchange-traded foreign exchange contracts including other foreign exchange contracts involving gold. ‘Credit derivatives’ covers all credit derivatives contracts, both where protection is purchased and protection is sold. Banks were required to report credit derivatives exposure to APRA from June 2000 following a change to the Off-balance Sheet Business Return. This has necessitated a break in the series. ‘Other off-balance sheet business’ covers equity contracts including written and purchased options positions, derivatives based on gold and precious metals, base metals, energy and other commodities, and all other derivative activity.

Indonesia Third Party Funds: Weighted Average Foreign Exchange Interest Rate: Credit: Working Capital data was reported at 5.818 % in Dec 2024. This records a decrease from the previous number of 5.944 % for Nov 2024. Indonesia Third Party Funds: Weighted Average Foreign Exchange Interest Rate: Credit: Working Capital data is updated monthly, averaging 4.071 % from Jan 2014 (Median) to Dec 2024, with 132 observations. The data reached an all-time high of 6.331 % in Jun 2024 and a record low of 2.987 % in Jan 2022. Indonesia Third Party Funds: Weighted Average Foreign Exchange Interest Rate: Credit: Working Capital data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Monetary – Table ID.KAI012: Financial System Statistics: Banking Sector.

Credit Risk Rating Software Market size was valued at USD 1.43 Billion in 2023 and is projected to reach USD 2.94 Billion by 2030, growing at a CAGR of 17.1 % during the forecast period 2024-2030.Global Credit Risk Rating Software Market DriversRegulatory Compliance: The use of credit risk rating software is influenced by the strict regulations that financial regulators apply. Basel III, IFRS 9, and Dodd-Frank regulations, among others, require financial institutions to invest in strong credit risk rating systems in order to assure compliance with the requirements for accurate risk assessment and reporting.Implications of Risk Management: Risk management has emerged as a critical area of focus for financial institutions due to the complexity of financial transactions and the increased level of uncertainty surrounding the global economy. Credit risk assessment software provides sophisticated analytics and modeling functionalities that empower entities to evaluate, track, and alleviate credit risks efficiently, hence fortifying their risk management structures.Demand for Efficiency and Automation: Manual credit risk assessment procedures are laborious, prone to mistakes, and not expandable. Automated credit risk rating systems are becoming more and more popular as financial organizations look to increase productivity and streamline processes. These software systems simplify credit risk assessment procedures, resulting in quicker decision-making and cost savings. They do this by utilizing technologies like machine learning, artificial intelligence, and big data analytics.Growing Non-Traditional Lending: The field of credit risk assessment has broadened with the emergence of non-traditional lending platforms like internet lenders, fintech companies, and peer-to-peer lending. To assess borrowers' creditworthiness, these organizations frequently use cutting-edge risk models and alternative data sources. These new lending models are served by credit risk rating software with flexible risk modeling capabilities and support for a wide range of data types.Concentrate on Credit Portfolio Optimization: To increase profitability and resilience, financial institutions must optimize their credit portfolios to strike a balance between risk and return. The adoption of credit risk rating software is fueled by the advanced risk analytics capabilities it offers portfolio managers to determine the best portfolio compositions, allocate capital effectively, and control concentration concerns.Predictive analytics's emergence: Conventional credit risk models frequently fall short in accurately capturing changing market conditions and new hazards. Through the use of machine learning algorithms and predictive analytics, businesses may more precisely estimate credit risks by examining historical data, market patterns, and macroeconomic factors. More and more institutions are looking for trustworthy risk assessment solutions, which is driving up demand for credit risk rating software with predictive modeling features.Globalization and Market Expansion: The demand for standardized, scalable credit risk rating systems has increased due to the globalization of financial markets and the expansion of banking activities into new regions. Software platforms that can handle a variety of regulatory frameworks, currencies, and languages are necessary for multinational financial institutions, which forces suppliers to create globally flexible solutions.Emphasis on client Experience: Financial institutions must provide a smooth and customized client experience in an environment that is becoming more and more competitive. Incorporating real-time risk assessment capabilities and integrating with CRM systems, credit risk rating software facilitates prompt and well-informed lending decisions for banks, all while improving the customer experience.

Based on how the Treasury Board defines service, the CRA has established an inventory of services to Canadians. E-enablement refers to the rate at which those services in the inventory are available online for Canadians to self-serve. This indicator measures progress against the CRA’s digital strategy. This service initiative falls under the ministerial mandate priority and under the broader Government of Canada priority of an open and transparent government. Formula/calculation: Sum of each service e-enablement rate divided by 18 services. Measurement strategy: The percentage of the service’s activities that are completed online for each service, based on the number of the following applicable interaction points of the service (based on a Treasury Board Secretariat methodology): • account registration / enrolment • authentication • application • decision • issuance (final output) • issue resolution and feedback. Services included: 1. T1 Income tax return filing 2. Authorize a representative 3. Goods and services tax (GST)/harmonized sales tax (HST) return filing 4. GST/HST rulings 5. T2 Corporation income tax return filing 6. Excise duty/tax return filing 7. Charity information return filing 8. Partnership information return filing 9. Canada Child Benefit (CCB) payments 10. GST/ HST credit payments 11. Children’s Special Allowances (CSA) payments 12. Working Income Tax Benefit (WITB) advance payments 13. Provincial and territorial tax credit payments 14. Provincial and territorial child benefit program payments 15. Formal review request (Appeals) 16. Trust income tax return filing 17. Business Number (BN) registration 18. Access to information and privacy Note: Income tax rulings is excluded from the results as it is not suitable for e-enablement. Datasets available for download

Based on how the Treasury Board defines service, the CRA has established an inventory of services to Canadians. E-enablement refers to the rate at which those services in the inventory are available online for Canadians to self-serve. This indicator measures progress against the CRA’s digital strategy. This service initiative falls under the ministerial mandate priority and under the broader Government of Canada priority of an open and transparent government. Formula/calculation: Sum of each service e-enablement rate divided by 18 services. Measurement strategy: The percentage of the service’s activities that are completed online for each service, based on the number of the following applicable interaction points of the service (based on a Treasury Board Secretariat methodology): • account registration / enrolment • authentication • application • decision • issuance (final output) • issue resolution and feedback Services included: 1. Income tax return filing 2. Authorize a representative 3. Goods and services tax (GST)/harmonized sales tax (HST) return filing 4. GST/HST rulings 5. Corporation income tax return filing 6. Excise duty/tax return filing 7. Charity information return filing 8. Partnership information return filing 9. Canada Child Benefit (CCB) payments 10. GST/ HST credit payments 11. Children’s Special Allowances (CSA) payments 12. Working Income Tax Benefit (WITB) advance payments 13. Provincial and territorial tax credit payments 14. Provincial and territorial child benefit program payments 15. Formal review request (Appeals) 16. Trust income tax return filing 17. Business Number (BN) registration 18. Access to information and privacy Note: Income tax rulings is excluded from the results as it is not suitable for e-enablement.