Facebook
Twitterhttps://www.usa.gov/government-works/https://www.usa.gov/government-works/
This dataset is from the SEC's Financial Statements and Notes Data Set.
It was a personal project to see if I could make the queries efficient.
It's just been collecting dust ever since, maybe someone will make good use of it.
Data is up to about early-2024.
It doesn't differ from the source, other than it's compiled - so maybe you can try it out, then compile your own (with the link below).
Dataset was created using SEC Files and SQL Server on Docker.
For details on the SQL Server database this came from, see: "dataset-previous-life-info" folder, which will contain:
- Row Counts
- Primary/Foreign Keys
- SQL Statements to recreate database tables
- Example queries on how to join the data tables.
- A pretty picture of the table associations.
Source: https://www.sec.gov/data-research/financial-statement-notes-data-sets
Happy coding!
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
NCUA: All Inst: Assets: Inv: Total MCSD & PIC in Corp Credit Unions data was reported at 1,282,446.517 USD th in Jun 2018. This records an increase from the previous number of 1,280,255.124 USD th for Mar 2018. NCUA: All Inst: Assets: Inv: Total MCSD & PIC in Corp Credit Unions data is updated quarterly, averaging 1,496,678.752 USD th from Mar 2005 (Median) to Jun 2018, with 54 observations. The data reached an all-time high of 3,542,902.634 USD th in Mar 2008 and a record low of 1,048,642.965 USD th in Sep 2010. NCUA: All Inst: Assets: Inv: Total MCSD & PIC in Corp Credit Unions data remains active status in CEIC and is reported by National Credit Union Administration. The data is categorized under Global Database’s USA – Table US.KB044: Financial Data: National Credit Union Administration: All Institutions.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States US: Households: Assets: Financial data was reported at 75,244.145 USD bn in Dec 2016. This records an increase from the previous number of 73,657.308 USD bn for Sep 2016. United States US: Households: Assets: Financial data is updated quarterly, averaging 52,881.308 USD bn from Mar 2005 (Median) to Dec 2016, with 48 observations. The data reached an all-time high of 75,244.145 USD bn in Dec 2016 and a record low of 41,990.070 USD bn in Mar 2005. United States US: Households: Assets: Financial data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s USA – Table US.IMF.FSI: Sectoral Financial Statement: Balance Sheet: Quarterly.
Facebook
TwitterThe Economic Indicator Service (EIS) aims to deliver economic content to financial institutions on both buy and sell-side and service providers. This new service currently covers 34,351 recurring macro-economic indicators from 135 countries ( as of December 16, 2019 ) such as GDP data, unemployment releases, PMI numbers etc.
Economic Indicator Service gathers the major economic events from a variety of regions and countries around the globe and provides an Economic Events Data feed and Economic Calendar service to our clients. This service includes all previous historic data on economic indicators that are currently available on the database.
Depending on availability, information regarding economic indicators, including the details of the issuing agency as well as historical data series can be made accessible for the client. Key information about EIS: • Cloud-based service for Live Calendar – delivered via HTML/JavaScript application formats, which can then be embedded onto any website using iFrames • Alternatives methods available – such as API and JSON feed for the economic calendar that can be integrated into the company’s system • Live data – updated 24/5, immediately after the data has been released • Historical data – includes a feed of all previous economic indicators available We are currently adding additional indicators/countries from Africa as well as expanding our coverage of Indicators in G20. The calendar includes the following. • Recurring & Non-recurring indicators covering 136 countries across 21 regions. • Indicators showing high, medium, and low impact data. • Indicators showing actual, previous, and forecast data. • Indicators can be filtered across 16 subtypes. • News generation for selected high-impact data. • Indicator description and historical data up to the latest eight historical points with a chart.
Facebook
TwitterThis online database contains the quarterly financial reports for regulated banks in Iowa, starting in 1999.
Facebook
Twitterhttps://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer
People data provides complete people information and gives the ability to link individual information to organizations and roles.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset covers all publically listed companies in the United States from 2000 to 2018, which are listed in the S&P index. The starting point of 2000 is due to the minimal data available in the BoardEX database before this time in relation to board directors' information. Compustat is the source of financial data. As previous research indicates, financial and utilities firms are excluded from the sample due to their distinct regulations, which expose their directors to liability risks that non-financial firms are not subject to (Adams and Mehran, 2012; Sila et al., 2016). The sample size of non-financial firms amounts to 17,220. Financial variable outliers are adjusted to the 98% level in accordance with Bharath and Shumway's (2008) study.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
CN: Industrial Enterprise: Private: Sales Tax & Surcharge: ytd data was reported at 258.990 RMB bn in Dec 2015. This records an increase from the previous number of 226.420 RMB bn for Nov 2015. CN: Industrial Enterprise: Private: Sales Tax & Surcharge: ytd data is updated monthly, averaging 24.843 RMB bn from Jan 2001 (Median) to Dec 2015, with 156 observations. The data reached an all-time high of 258.990 RMB bn in Dec 2015 and a record low of 0.693 RMB bn in Feb 2001. CN: Industrial Enterprise: Private: Sales Tax & Surcharge: ytd data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BF: Industrial Financial Data: Private Enterprise.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States BNY: Number of Reporting Institutions data was reported at 1.000 USD th in Dec 2019. This stayed constant from the previous number of 1.000 USD th for Sep 2019. United States BNY: Number of Reporting Institutions data is updated quarterly, averaging 1.000 USD th from Dec 2000 (Median) to Dec 2019, with 77 observations. The data reached an all-time high of 1.000 USD th in Dec 2019 and a record low of 1.000 USD th in Dec 2019. United States BNY: Number of Reporting Institutions data remains active status in CEIC and is reported by Federal Deposit Insurance Corporation. The data is categorized under Global Database’s United States – Table US.KB061: Financial Data: Federal Deposit Insurance Corporation: Bank of New York Mellon.
Facebook
Twitterhttps://www.futuremarketinsights.com/privacy-policyhttps://www.futuremarketinsights.com/privacy-policy
The world has digitized rapidly, especially since the advent of the internet. Banks, financial institutions, hospitals, insurance companies, and e-commerce platforms rely heavily on databases to manage customer accounts, transactions, and sensitive financial data. With the advancements in the technology sector, the database monitoring software market is poised to be valued at a staggering US$ 2.40 billion in 2024.
| Attributes | Details |
|---|---|
| Market Value for 2024 | US$ 2.40 billion |
| Projected Market Value for 2034 | US$ 10.10 billion |
| Value-based CAGR of the Market for 2024 to 2034 | 15.20% |
Category-wise Insights
| Attributes | Details |
|---|---|
| Component | Software |
| Market Share (2024) | 63% |
| Attributes | Details |
|---|---|
| End User | BFSI |
| Market Share (2024) | 29.30% |
Country-wise Insights
| Countries | CAGR (2024 to 2034) |
|---|---|
| South Korea | 18.00% |
| Japan | 17.20% |
| The United Kingdom | 16.70% |
| China | 16.20% |
| The United States | 15.60% |
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States BNY: Discontinued Operations data was reported at 0.000 USD th in Dec 2019. This stayed constant from the previous number of 0.000 USD th for Sep 2019. United States BNY: Discontinued Operations data is updated quarterly, averaging 0.000 USD th from Dec 2000 (Median) to Dec 2019, with 77 observations. The data reached an all-time high of 1,363,000.000 USD th in Dec 2006 and a record low of -23,000.000 USD th in Dec 2008. United States BNY: Discontinued Operations data remains active status in CEIC and is reported by Federal Deposit Insurance Corporation. The data is categorized under Global Database’s United States – Table US.KB061: Financial Data: Federal Deposit Insurance Corporation: Bank of New York Mellon.
Facebook
Twitterhttp://www.gnu.org/licenses/lgpl-3.0.htmlhttp://www.gnu.org/licenses/lgpl-3.0.html
The Consumer Complaint Database is a collection of complaints about consumer financial products and services that we sent to companies for response. Complaints are published after the company responds, confirming a commercial relationship with the consumer, or after 15 days, whichever comes first. Complaints referred to other regulators, such as complaints about depository institutions with less than $10 billion in assets, are not published in the Consumer Complaint Database. The database generally updates daily.
Use this dataset to classify what product or service a complaint is pointing to, given the complaint narrative provided by the customer. Link: https://catalog.data.gov/dataset/consumer-complaint-database
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
CN: CE: Foreign Funded: Current Assets: Inventories data was reported at 1.364 RMB bn in 2018. This records an increase from the previous number of 1.289 RMB bn for 2017. CN: CE: Foreign Funded: Current Assets: Inventories data is updated yearly, averaging 1.326 RMB bn from Dec 2000 (Median) to 2018, with 16 observations. The data reached an all-time high of 3.489 RMB bn in 2014 and a record low of 0.370 RMB bn in 2000. CN: CE: Foreign Funded: Current Assets: Inventories data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Wholesale, Retail and Catering Sector – Table CN.RJB: Catering Enterprise: Financial Data: Foreign Funded.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States WFC: Memo: Long-Term Assets > 5 Yrs data was reported at 605,270,000.000 USD th in Dec 2019. This records a decrease from the previous number of 605,625,000.000 USD th for Sep 2019. United States WFC: Memo: Long-Term Assets > 5 Yrs data is updated quarterly, averaging 272,087,000.000 USD th from Dec 2000 (Median) to Dec 2019, with 77 observations. The data reached an all-time high of 605,625,000.000 USD th in Sep 2019 and a record low of 13,011,000.000 USD th in Mar 2001. United States WFC: Memo: Long-Term Assets > 5 Yrs data remains active status in CEIC and is reported by Federal Deposit Insurance Corporation. The data is categorized under Global Database’s United States – Table US.KB056: Financial Data: Federal Deposit Insurance Corporation: Wells Fargo.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States NCUA: Federal: Non Interest Expense: Travel, Conference Expense data was reported at 48,317.128 USD th in Mar 2018. This records a decrease from the previous number of 201,012.840 USD th for Dec 2017. United States NCUA: Federal: Non Interest Expense: Travel, Conference Expense data is updated quarterly, averaging 98,403.484 USD th from Mar 2005 to Mar 2018, with 53 observations. The data reached an all-time high of 201,012.840 USD th in Dec 2017 and a record low of 30,176.949 USD th in Mar 2010. United States NCUA: Federal: Non Interest Expense: Travel, Conference Expense data remains active status in CEIC and is reported by National Credit Union Administration. The data is categorized under Global Database’s USA – Table US.KB018: Financial Data: National Credit Union Administration: Federal Institutions.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States COF: Memo: Total Unused Commitments data was reported at 129,872,595.000 USD th in Dec 2019. This records an increase from the previous number of 113,598,628.000 USD th for Sep 2019. United States COF: Memo: Total Unused Commitments data is updated quarterly, averaging 12,883,457.000 USD th from Dec 2000 (Median) to Dec 2019, with 77 observations. The data reached an all-time high of 151,007,546.000 USD th in Jun 2012 and a record low of 2,916,911.000 USD th in Mar 2001. United States COF: Memo: Total Unused Commitments data remains active status in CEIC and is reported by Federal Deposit Insurance Corporation. The data is categorized under Global Database’s United States – Table US.KB060: Financial Data: Federal Deposit Insurance Corporation: Capital One.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Germany DE: Other Financial Corporation: Assets: Non Financial data was reported at 0.000 EUR mn in 2020. This stayed constant from the previous number of 0.000 EUR mn for 2019. Germany DE: Other Financial Corporation: Assets: Non Financial data is updated yearly, averaging 0.000 EUR mn from Dec 2005 (Median) to 2020, with 16 observations. The data reached an all-time high of 0.000 EUR mn in 2020 and a record low of 0.000 EUR mn in 2020. Germany DE: Other Financial Corporation: Assets: Non Financial data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Germany – Table DE.IMF.FSI: 2006 Methodology: Sectoral Financial Statement: Balance Sheet: Annual.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
CN: Industrial Enterprise: No of Enterprise: Beijing data was reported at 3,086.000 Unit in Oct 2025. This records an increase from the previous number of 3,085.000 Unit for Sep 2025. CN: Industrial Enterprise: No of Enterprise: Beijing data is updated monthly, averaging 3,548.000 Unit from Jan 2001 (Median) to Oct 2025, with 274 observations. The data reached an all-time high of 7,647.000 Unit in May 2009 and a record low of 2,973.000 Unit in Aug 2021. CN: Industrial Enterprise: No of Enterprise: Beijing data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BF: Industrial Financial Data: No of Enterprise: By Province.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States NCUA: State: Assets: Inv: Available for Sale Securities data was reported at 77,025,879.047 USD th in Jun 2018. This records an increase from the previous number of 76,809,014.751 USD th for Mar 2018. United States NCUA: State: Assets: Inv: Available for Sale Securities data is updated quarterly, averaging 67,701,708.704 USD th from Mar 2005 (Median) to Jun 2018, with 54 observations. The data reached an all-time high of 82,045,603.213 USD th in Mar 2017 and a record low of 22,008,881.162 USD th in Mar 2007. United States NCUA: State: Assets: Inv: Available for Sale Securities data remains active status in CEIC and is reported by National Credit Union Administration. The data is categorized under Global Database’s United States – Table US.KB046: Financial Data: National Credit Union Administration: State Institutions.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States CITI: LC: TL: DE: Held in Domestic Office data was reported at 536,115,000.000 USD th in Dec 2019. This records a decrease from the previous number of 545,725,000.000 USD th for Sep 2019. United States CITI: LC: TL: DE: Held in Domestic Office data is updated quarterly, averaging 256,450,000.000 USD th from Dec 2000 (Median) to Dec 2019, with 77 observations. The data reached an all-time high of 545,725,000.000 USD th in Sep 2019 and a record low of 57,389,000.000 USD th in Dec 2000. United States CITI: LC: TL: DE: Held in Domestic Office data remains active status in CEIC and is reported by Federal Deposit Insurance Corporation. The data is categorized under Global Database’s United States – Table US.KB057: Financial Data: Federal Deposit Insurance Corporation: Citigroup.
Facebook
Twitterhttps://www.usa.gov/government-works/https://www.usa.gov/government-works/
This dataset is from the SEC's Financial Statements and Notes Data Set.
It was a personal project to see if I could make the queries efficient.
It's just been collecting dust ever since, maybe someone will make good use of it.
Data is up to about early-2024.
It doesn't differ from the source, other than it's compiled - so maybe you can try it out, then compile your own (with the link below).
Dataset was created using SEC Files and SQL Server on Docker.
For details on the SQL Server database this came from, see: "dataset-previous-life-info" folder, which will contain:
- Row Counts
- Primary/Foreign Keys
- SQL Statements to recreate database tables
- Example queries on how to join the data tables.
- A pretty picture of the table associations.
Source: https://www.sec.gov/data-research/financial-statement-notes-data-sets
Happy coding!