The Comprehensive Annual Financial Reports are presented in three main sections; the Introductory Section, the Financial Section, and the Statistical Section. The Introductory Section includes a financial overview, discussion of Iowa's economy and an organizational chart for State government. The Financial Section includes the state auditor's report, management's discussion and analysis, audited basic financial statements and notes thereto, and the underlying combining and individual fund financial statements and supporting schedules. The Statistical Section sets forth selected unaudited economic, financial trend and demographic information for the state on a multi-year basis. Reports for multiple fiscal years are available.

Campaign finance reports from 2019 to the present: The tables below show different cuts of the campaign finance reports data related to Philadelphia elections provided by filers (including candidates and political committees) about their contributions, expenditures and debt. You can explore an interactive dashboard that visualizes much of this data, use the video tutorial to learn how to navigate the dashboard, or read the technical document to understand how we compiled the data and dashboard. If you want to use the raw, unfiltered data, please visit the searchable database. Filers can submit reports on via the campaign finance filing system.

United States Avg Weekly Earnings: FA: All Other Financial Investment Activities data was reported at 1,911.910 USD in Sep 2018. This records an increase from the previous number of 1,799.030 USD for Aug 2018. United States Avg Weekly Earnings: FA: All Other Financial Investment Activities data is updated monthly, averaging 1,464.970 USD from Mar 2006 (Median) to Sep 2018, with 151 observations. The data reached an all-time high of 1,912.710 USD in Apr 2018 and a record low of 1,242.460 USD in Oct 2013. United States Avg Weekly Earnings: FA: All Other Financial Investment Activities data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G032: Current Employment Statistics Survey: Average Weekly and Hourly Earnings.

This resource provides annual financial reports for cities in Iowa starting in 2013.

The data sets provide the text and detailed numeric information in all financial statements and their notes extracted from exhibits to corporate financial reports filed with the Commission using eXtensible Business Reporting Language (XBRL).

Indonesia Avg Weekly Hour Worked: Female: Financial and Insurance Activities data was reported at 42.000 Hour in 2018. This records an increase from the previous number of 41.000 Hour for 2017. Indonesia Avg Weekly Hour Worked: Female: Financial and Insurance Activities data is updated yearly, averaging 42.000 Hour from Aug 2015 (Median) to 2018, with 4 observations. The data reached an all-time high of 42.000 Hour in 2018 and a record low of 41.000 Hour in 2017. Indonesia Avg Weekly Hour Worked: Female: Financial and Insurance Activities data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Indonesia – Table ID.GBB016: Average Weekly Hour Worked: by Industry.

Finance Data Fusion Market Outlook

The global finance data fusion market size is projected to grow at a CAGR of 12.5% from 2024 to 2032, with the market value increasing from USD 2.5 billion in 2023 to an estimated USD 7.4 billion by 2032. This impressive growth is driven by an intensifying demand for real-time analytics, the increasing complexity of financial transactions, and the need for improved risk management and fraud detection mechanisms in the financial sector.

One of the primary growth factors propelling the finance data fusion market is the rising necessity for robust risk management solutions. Financial institutions are increasingly recognizing the importance of integrating diverse data sources to gain comprehensive insights into potential risks. With the advent of big data and advanced analytics, data fusion technologies enable organizations to synthesize information from multiple datasets, including market data, transactional data, and social media feeds, thereby enhancing their ability to predict and manage risks in a dynamic market environment. This capability is particularly critical in an era where financial stability and regulatory compliance are paramount.

Another significant driver of market growth is the surging demand for enhanced fraud detection systems. Financial fraud has become increasingly sophisticated, necessitating the adoption of advanced technologies that can detect and mitigate fraudulent activities in real-time. Data fusion solutions allow for the integration of diverse data points, providing a holistic view of customer behavior and transaction patterns. This multi-dimensional analysis significantly improves the accuracy of fraud detection systems, enabling financial institutions to safeguard their assets and maintain customer trust. The growing reliance on digital payment systems further underscores the need for advanced fraud detection technologies.

Furthermore, the growing importance of customer analytics in the financial sector is contributing to the market's expansion. Financial institutions are leveraging data fusion technologies to gain deeper insights into customer preferences, behavior, and needs. By integrating data from various sources, such as transaction histories, social media interactions, and demographic information, organizations can create detailed customer profiles that drive personalized marketing strategies and improve customer satisfaction. The ability to deliver tailored financial products and services based on comprehensive data analysis is a key competitive advantage in the financial industry.

Regionally, North America is expected to dominate the finance data fusion market, owing to its advanced financial infrastructure and the early adoption of innovative technologies. The presence of major financial institutions and a highly developed regulatory framework further supports market growth in this region. Europe and Asia Pacific are also anticipated to witness substantial growth, driven by increasing investments in financial technology and the rising demand for advanced data analytics solutions. In contrast, Latin America and the Middle East & Africa are projected to experience moderate growth, influenced by varying levels of technological adoption and economic development.

Component Analysis

The finance data fusion market can be segmented by component into software, hardware, and services. The software segment is expected to hold the largest market share, driven by the increasing adoption of advanced analytic tools and platforms that enable the integration and analysis of diverse data sources. Financial institutions are investing heavily in software solutions that provide real-time insights and predictive analytics, facilitating more informed decision-making and enhancing operational efficiency. The proliferation of cloud-based software solutions is also contributing to the segment's growth, as they offer scalable and cost-effective alternatives to traditional on-premises systems.

The hardware segment, although smaller in comparison to software, plays a crucial role in supporting data fusion activities. High-performance computing systems, storage solutions, and network infrastructure are essential for managing and processing the vast amounts of data generated in the financial sector. As financial institutions continue to expand their data capabilities, the demand for robust and scalable hardware solutions is expected to rise. Innovations in hardware technology, such as advanced processors and high-speed storage devices, are further driving the segment's growth.

United States SB: MN: Finance: PC: Increased data was reported at 3.600 % in 11 Apr 2022. This records a decrease from the previous number of 4.900 % for 04 Apr 2022. United States SB: MN: Finance: PC: Increased data is updated weekly, averaging 4.900 % from Feb 2022 (Median) to 11 Apr 2022, with 9 observations. The data reached an all-time high of 6.700 % in 14 Feb 2022 and a record low of 3.600 % in 11 Apr 2022. United States SB: MN: Finance: PC: Increased data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S047: Small Business Pulse Survey: by State: Midwest Region: Weekly, Beg Monday (Discontinued).

This online database contains the quarterly financial reports for regulated banks in Iowa, starting in 1999.

United States SB: FL: Finance: 1-2 Business Months data was reported at 22.100 % in 11 Apr 2022. This records a decrease from the previous number of 24.200 % for 04 Apr 2022. United States SB: FL: Finance: 1-2 Business Months data is updated weekly, averaging 22.350 % from Nov 2021 (Median) to 11 Apr 2022, with 18 observations. The data reached an all-time high of 25.900 % in 07 Mar 2022 and a record low of 17.700 % in 21 Mar 2022. United States SB: FL: Finance: 1-2 Business Months data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S051: Small Business Pulse Survey: by State: South Region: Weekly, Beg Monday (Discontinued).

United States SB: ME: Finance: Do Not Know data was reported at 12.000 % in 11 Apr 2022. This records an increase from the previous number of 11.000 % for 04 Apr 2022. United States SB: ME: Finance: Do Not Know data is updated weekly, averaging 12.300 % from Nov 2021 (Median) to 11 Apr 2022, with 16 observations. The data reached an all-time high of 18.200 % in 15 Nov 2021 and a record low of 7.900 % in 29 Nov 2021. United States SB: ME: Finance: Do Not Know data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S049: Small Business Pulse Survey: by State: Northeast Region: Weekly, Beg Monday (Discontinued).

The Department of Social Services (DSS) is the Australian Government’s preeminent source of advice on social policy and works in partnership with other government and non-government organisations to …Show full descriptionThe Department of Social Services (DSS) is the Australian Government’s preeminent source of advice on social policy and works in partnership with other government and non-government organisations to manage a diverse range of programs and services designed to support and improve the lives of Australians. DSS has whole of government responsibility Families and Children Housing Support Seniors Communities and Vulnerable People Disability and Carers Women's Safety Mental Health Settlement and Multicultural Affairs Ageing and Aged Care Review of Australia’s Welfare System This statistical overview presents information about income support payments and customers administered by a number of Australian Government departments. Unless otherwise indicated, the statistics relate to the relevant pay periods closest to 30 June. These periods will generally be within a fortnight either side of that date. Key sections of the overview are: payments for older people, people with disability and those caring for people with disability, severe medical conditions, or those who are frail aged student and labour market related payments family assistance other payments and services pensioners paid overseas. Payment and allowance information, including eligibility criteria, are included within each section. When The Department of Social Services was formed in September 2013 the publishing of the Statistical Paper series ceased. The DSS Payments Demographic Data Set is updated quarterly and covers the majority of the information contained in the Statistical Paper series. Please contact the Data Requests team if you have any questions in relation to this publication or the DSS Payment Demographic Data Set. Further information to assist with the interpretation of statistics is available from the DSS and Human Services websites: Department of Human Services (DHS) Department of Social Services (DSS).

Personal Financial Services Market Outlook

The global personal financial services market size is on a robust growth trajectory, projected to expand from USD 8.5 trillion in 2023 to USD 14.2 trillion by 2032, growing at a CAGR of approximately 5.6% during the forecast period. This market's expansion is primarily driven by the increasing demand for personalized financial advice and management services, amplified by the growing complexity of financial decisions individuals and families face today. The rising awareness about financial planning and the benefits of early investment strategies among younger generations further fuel market growth. As digitalization reshapes the financial landscape, the adoption of technology-driven financial solutions is setting a new benchmark in customer service excellence, enhancing the market's appeal and potential.

One of the significant growth factors in the personal financial services market is the rapidly increasing awareness and importance of financial literacy. Financial literacy empowers individuals to make informed decisions, optimize their savings, and maximize their investment returns. Governments and private institutions worldwide are increasingly investing in financial education programs, which are proving instrumental in driving market expansion. Furthermore, as life expectancy continues to rise, there is a heightened demand for comprehensive retirement planning services. Individuals are seeking more robust financial solutions to ensure they maintain their lifestyle post-retirement, leading to increased uptake of personal financial advisory services.

Technological advancements are another critical driver propelling the personal financial services market. The evolution of fintech has revolutionized how consumers interact with financial service providers, offering enhanced accessibility and convenience. From AI-driven investment advisors to blockchain-based secure transactions, technology is not only streamlining operations but also offering innovative solutions that meet the dynamic needs of modern consumers. The integration of big data analytics in financial services has further enabled personalized financial planning, allowing service providers to offer tailored advice based on individual financial behavior and preferences. This trend is expected to continue, shaping the future of personal financial services with more customized and efficient offerings.

In this evolving landscape, the concept of Financial Escort Service is gaining traction as a unique offering within the personal financial services sector. These services are designed to provide clients with a dedicated financial advisor who acts as a guide through complex financial decisions, much like a personal concierge for one's financial life. The Financial Escort Service aims to enhance client experience by offering personalized attention and tailored advice, ensuring that clients are well-informed and confident in their financial choices. As the demand for bespoke financial solutions grows, this service is becoming increasingly popular among individuals seeking a more intimate and customized approach to managing their finances. By integrating this service, financial institutions can differentiate themselves in a competitive market, offering clients a level of service that goes beyond traditional advisory roles.

Additionally, demographic shifts, such as the growing middle class in emerging economies and the increasing number of high net worth individuals (HNWIs), are contributing significantly to market growth. With more disposable income and a greater need for sophisticated financial management, these demographic groups are seeking out personal financial services tailored to their unique needs. The younger generation, tech-savvy and investment-oriented, is also driving the demand for digital financial platforms that offer comprehensive financial solutions at their fingertips. These demographic trends are not only expanding the customer base for financial services but are also pushing firms to innovate and diversify their service offerings to cater to a broader range of client needs.

Regionally, North America currently leads the personal financial services market, owing to its advanced financial infrastructure and high concentration of financial service providers. However, the Asia Pacific region is anticipated to exhibit the highest growth rate during the forecast period. The rapid development of digital banking solutions and the increasing awareness of financial planning in countries such as China and India are

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United States SB: AE: Finance: PC: Number Planned data was reported at 30.100 % in 11 Apr 2022. This records a decrease from the previous number of 32.100 % for 04 Apr 2022. United States SB: AE: Finance: PC: Number Planned data is updated weekly, averaging 32.300 % from Feb 2022 (Median) to 11 Apr 2022, with 9 observations. The data reached an all-time high of 39.900 % in 28 Feb 2022 and a record low of 27.800 % in 14 Feb 2022. United States SB: AE: Finance: PC: Number Planned data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S035: Small Business Pulse Survey: by Sector: Weekly. Beg Monday (Discontinued).

United States SB: MA: Finance: Planned Capital Expenditures (PC): Canceled data was reported at 3.800 % in 11 Apr 2022. This records a decrease from the previous number of 7.700 % for 04 Apr 2022. United States SB: MA: Finance: Planned Capital Expenditures (PC): Canceled data is updated weekly, averaging 7.800 % from Feb 2022 (Median) to 11 Apr 2022, with 9 observations. The data reached an all-time high of 9.800 % in 28 Mar 2022 and a record low of 3.800 % in 11 Apr 2022. United States SB: MA: Finance: Planned Capital Expenditures (PC): Canceled data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S049: Small Business Pulse Survey: by State: Northeast Region: Weekly, Beg Monday (Discontinued).

A dataset that has four resources: financial report of the enterprise KP "Combinate of municipal enterprises of Zhovtnevyi district"; financial report of the enterprise "Combinate of municipal enterprises of Zhovtnevyi district"; passports of budget programs of the local budget; reports on the implementation of passports of budget programs of the local budget

Indonesia Money Market: Forex: Overseas Interbank (In USD Currency): Transaction Frequency Daily Average: 1 Week data was reported at 0.450 Unit mn in Feb 2025. This records a decrease from the previous number of 1.000 Unit mn for Jan 2025. Indonesia Money Market: Forex: Overseas Interbank (In USD Currency): Transaction Frequency Daily Average: 1 Week data is updated monthly, averaging 1.795 Unit mn from Jan 2013 (Median) to Feb 2025, with 146 observations. The data reached an all-time high of 10.444 Unit mn in May 2014 and a record low of 0.143 Unit mn in Jul 2022. Indonesia Money Market: Forex: Overseas Interbank (In USD Currency): Transaction Frequency Daily Average: 1 Week data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Monetary – Table ID.KAI019: Financial System Statistics: Money Market Sector.

United States SB: IN: Finance: Planned Capital Expenditures (PC): Canceled data was reported at 8.200 % in 11 Apr 2022. This records a decrease from the previous number of 10.300 % for 04 Apr 2022. United States SB: IN: Finance: Planned Capital Expenditures (PC): Canceled data is updated weekly, averaging 8.400 % from Feb 2022 (Median) to 11 Apr 2022, with 9 observations. The data reached an all-time high of 14.000 % in 21 Mar 2022 and a record low of 7.400 % in 07 Mar 2022. United States SB: IN: Finance: Planned Capital Expenditures (PC): Canceled data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S047: Small Business Pulse Survey: by State: Midwest Region: Weekly, Beg Monday (Discontinued).

Colombia Money Supply Weekly: M3: Liabilities Subject to Reserve: Repos: Repos with GDPCNT General Directorate of Public Credit and National Treasury data was reported at 0.000 COP bn in 25 Apr 2025. This stayed constant from the previous number of 0.000 COP bn for 18 Apr 2025. Colombia Money Supply Weekly: M3: Liabilities Subject to Reserve: Repos: Repos with GDPCNT General Directorate of Public Credit and National Treasury data is updated weekly, averaging 0.000 COP bn from Jan 1982 (Median) to 25 Apr 2025, with 2257 observations. The data reached an all-time high of 3,566.508 COP bn in 02 Nov 2001 and a record low of 0.000 COP bn in 25 Apr 2025. Colombia Money Supply Weekly: M3: Liabilities Subject to Reserve: Repos: Repos with GDPCNT General Directorate of Public Credit and National Treasury data remains active status in CEIC and is reported by Bank of the Republic of Colombia. The data is categorized under Global Database’s Colombia – Table CO.KA002: Money Supply. The figures prior 2015 in monetary and credit aggregates are presented in accordance with the financial information from credit institutions. From January 2015, these entities are recorded under International Financial Reporting Standards (IFRS). Therefore, variations with respect to 2014 data have a statistical effect of changes in methodology.