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Note: This resource was originally published on opengov.nsw.gov.au. The OpenGov website has been retired. If you have any questions, please contact the Agency Services team at transfer@mhnsw.au
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United States SBP: Last Week Operating Revenue: 0-500 data was reported at 8.700 % in 04 Oct 2020. This stayed constant from the previous number of 8.700 % for 27 Sep 2020. United States SBP: Last Week Operating Revenue: 0-500 data is updated weekly, averaging 12.650 % from Apr 2020 (Median) to 04 Oct 2020, with 18 observations. The data reached an all-time high of 38.500 % in 26 Apr 2020 and a record low of 8.500 % in 13 Sep 2020. United States SBP: Last Week Operating Revenue: 0-500 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.S036: Small Business Pulse Survey: by Sector: Weekly, Beg Sunday (Discontinued).
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United States SBP: TW: Cash on Hand will Currently Cover: 3-4 Business Weeks data was reported at 16.100 % in 04 Oct 2020. This records an increase from the previous number of 14.000 % for 27 Sep 2020. United States SBP: TW: Cash on Hand will Currently Cover: 3-4 Business Weeks data is updated weekly, averaging 16.650 % from Apr 2020 (Median) to 04 Oct 2020, with 18 observations. The data reached an all-time high of 20.000 % in 10 May 2020 and a record low of 14.000 % in 27 Sep 2020. United States SBP: TW: Cash on Hand will Currently Cover: 3-4 Business Weeks 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.S036: Small Business Pulse Survey: by Sector: Weekly, Beg Sunday (Discontinued).
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United States SBP: TW: Cash on Hand will Currently Cover: 1-2 Business Weeks data was reported at 12.100 % in 04 Oct 2020. This records an increase from the previous number of 10.400 % for 27 Sep 2020. United States SBP: TW: Cash on Hand will Currently Cover: 1-2 Business Weeks data is updated weekly, averaging 10.800 % from Apr 2020 (Median) to 04 Oct 2020, with 18 observations. The data reached an all-time high of 16.600 % in 26 Apr 2020 and a record low of 9.600 % in 13 Sep 2020. United States SBP: TW: Cash on Hand will Currently Cover: 1-2 Business Weeks 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.S036: Small Business Pulse Survey: by Sector: Weekly, Beg Sunday (Discontinued).
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Denton economic data from the American Community Survey (ACS)
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TwitterWeekly Economic Calendar shows future release dates of key economic data and publications used by NSW Treasury for monitoring and analysis.
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TwitterThe 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.
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United States US: GDP: Growth: Gross Value Added: Services data was reported at 2.621 % in 2015. This records an increase from the previous number of 2.221 % for 2014. United States US: GDP: Growth: Gross Value Added: Services data is updated yearly, averaging 2.335 % from Dec 1998 (Median) to 2015, with 18 observations. The data reached an all-time high of 4.456 % in 1999 and a record low of -1.772 % in 2009. United States US: GDP: Growth: Gross Value Added: Services data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Annual Growth Rate. Annual growth rate for value added in services based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, import duties, and any statistical discrepancies noted by national compilers as well as discrepancies arising from rescaling. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.
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TwitterNovember 2024: For DCMS sector data, please see: Economic Estimates: Employment and APS earnings in DCMS sectors, January 2023 to December 2023
For Digital sector data, please see: Economic Estimates: Employment in DCMS sectors and Digital sector, January 2022 to December 2022
October 2024: Following the identification of a minor error, the Labour Force Survey, July to September 2016 to 2020 data tables have been re-published for the digital sector. This affects data for 2019 only - data for 2016 and 2020 are not affected.
Updated estimates for DCMS sectors have been re-published.
Economic Estimates: Employment in DCMS sectors, April 2022 to March 2024.
Although the original versions of the tables were published before the Machinery of Government changes in February 2023, these corrected tables have been re-published for DCMS sectors and the digital sector separately. This is because the digital sector is now a Department for Science, Innovation and Technology (DSIT) responsibility.
The Economic Estimates in this release are a combination of National, Official, and experimental statistics used to provide an estimate of the contribution of DCMS Sectors to the UK economy.
These statistics cover the economic contribution of the following DCMS sectors to the UK economy:
Tourism and Civil Society are included where possible.
Users should note that there is overlap between DCMS sector definitions and that the Telecoms sector sits wholly within the Digital sector.
The release also includes estimates for the Audio Visual sector and Computer Games sector for some measures.
A definition for each sector is available in the associated methodology note along with details of methods and data limitations.
Following updates to the underlying methodology used to produce the estimates for Weekly Gross Pay, Annual Gross Pay and the Gender Pay Gap, we have published revised estimates for employee earnings in the DCMS Sectors and Digital Sector from 2016 to 2020.
We’ve published revised estimates for Weekly Gross Pay, Annual Gross Pay and the Gender Pay Gap. This was necessary for a number of reasons, including:
These statistics were first published on 23 December 2021
DCMS aims to continuously improve the quality of estimates and better meet user needs. DCMS welcomes feedback on this release. Feedback should be sent to DCMS via email at evidence@dcms.gov.uk.
This release is published in accordance with the Code of Practice for Statistics (2018) produced by the UK Statistics Authority (UKSA). The UKSA has the overall objective of promoting and safeguarding the production and publication of official statistics that serve the public good. It monitors and reports on all official statistics, and promotes good practice in this area.
The accompanying pre-release access document lists ministers and officials who have received privileged early access to this release. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours.
Responsible statistician: Rachel Moyce.
For any queries or feedback, contact <a href="mailto
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ZIP Code Business Patterns (ZBP)
County Business Patterns (CBP) is an annual series that provides subnational economic data by industry. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. This data is useful for studying the economic activity of small areas; analyzing economic changes over time; and as a benchmark for other statistical series, surveys, and databases between economic censuses. Businesses use the data for analyzing market potential, measuring the effectiveness of sales and advertising programs, setting sales quotas, and developing budgets. Government agencies use the data for administration and planning.
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Graph and download economic data for Average Weekly Earnings of All Employees: Financial Activities in South Carolina (SMU45000005500000011) from Jan 2007 to Aug 2025 about SC, earnings, financial, employment, and USA.
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Graph and download economic data for MZM Money Stock (DISCONTINUED) (WMZMNS) from 1980-11-03 to 2021-02-01 about MZM, monetary aggregates, and USA.
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Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Ohio (DISCONTINUED) was 985.70000 $ per Week in December of 2018, according to the United States Federal Reserve. Historically, Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Ohio (DISCONTINUED) reached a record high of 1069.40000 in January of 2017 and a record low of 536.90000 in February of 2001. Trading Economics provides the current actual value, an historical data chart and related indicators for Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in Ohio (DISCONTINUED) - last updated from the United States Federal Reserve on November of 2025.
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Graph and download economic data for 4-Week Moving Average of Continued Claims (Insured Unemployment) from 1967-01-28 to 2025-09-13 about moving average, continued claims, 1-month, insurance, average, unemployment, and USA.
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Graph and download economic data for Business Applications with Planned Wages for Kansas (WBUSAPPWNSAKSYY) from 2007-01-06 to 2025-08-30 about business applications, KS, wages, business, and USA.
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Graph and download economic data for Pandemic Emergency Unemployment Compensation Continued Claims in Massachusetts (PEUCCCMA) from 2020-03-28 to 2022-10-22 about emergency, pandemic, continued claims, compensation, MA, unemployment, and USA.
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Average Weekly Wages for Employees in Private Establishments in Virginia Beach-Norfolk-Newport News, VA-NC (MSA) was 1184.84542 $ per Week in January of 2025, according to the United States Federal Reserve. Historically, Average Weekly Wages for Employees in Private Establishments in Virginia Beach-Norfolk-Newport News, VA-NC (MSA) reached a record high of 1184.84542 in January of 2025 and a record low of 365.51533 in January of 1990. Trading Economics provides the current actual value, an historical data chart and related indicators for Average Weekly Wages for Employees in Private Establishments in Virginia Beach-Norfolk-Newport News, VA-NC (MSA) - last updated from the United States Federal Reserve on November of 2025.
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Techsalerator’s Business Funding Data for Bangladesh
Techsalerator’s Business Funding Data for Bangladesh offers a comprehensive and insightful collection of information crucial for businesses, investors, and financial analysts. This dataset provides a detailed analysis of funding activities across various sectors in Bangladesh, capturing and categorizing data related to funding rounds, investment sources, and financial milestones.
If you need the full dataset, reach out to us at info@techsalerator.com or https://www.techsalerator.com/contact-us.
Techsalerator’s Business Funding Data for Bangladesh
Techsalerator’s Business Funding Data for Bangladesh presents a thorough and insightful overview of key information for businesses, investors, and financial analysts. This dataset offers an in-depth examination of funding activities across diverse sectors in Bangladesh, detailing data related to funding rounds, investment sources, and significant financial milestones.
Top 5 Key Data Fields
Company Name: Identifies the company receiving funding. This information helps investors discover potential opportunities and allows analysts to track funding trends within specific industries.
Funding Amount: Shows the total amount of funding a company has received. Understanding these amounts provides insights into the financial health and growth potential of businesses and the scale of investment activities.
Funding Round: Indicates the stage of funding, such as seed, Series A, Series B, or later stages. This helps investors evaluate a business’s maturity and growth trajectory.
Investor Name: Provides details about the investors or investment firms involved. Knowing the investors helps assess the credibility of the funding source and their strategic interests.
Investment Date: Records when the funding was completed. The timing of investments can reflect market trends, investor confidence, and potential impacts on a company’s future.
Top 5 Funding Trends in Bangladesh
Infrastructure Development: Significant investments are being made in infrastructure projects, including roads, bridges, and energy projects. These investments are crucial for the country's economic growth and development.
Agriculture and Agritech: With agriculture being a key sector in Bangladesh’s economy, funding is directed towards modernizing agricultural practices through agritech, focusing on sustainability and productivity improvements.
Telecommunications and Digital Connectivity: The telecom sector in Bangladesh is drawing investment, with efforts to enhance digital connectivity and access to information, vital for economic progress and social inclusion.
Healthcare and Pharmaceuticals: Increased funding is flowing into healthcare infrastructure, pharmaceuticals, and health tech to address healthcare needs and support medical research and innovation.
Education and Vocational Training: Funding is being allocated to educational initiatives and vocational training programs aimed at improving literacy rates, enhancing skills, and creating job opportunities.
Top 5 Companies with Notable Funding Data in Bangladesh
Grameenphone: Bangladesh’s leading telecommunications provider, Grameenphone, has received substantial funding to expand network coverage, enhance digital services, and support community initiatives.
BRAC Bank: This financial institution has attracted significant investment to improve its banking services, expand its reach across the country, and promote financial inclusion.
Pathao: A major player in the logistics and transportation sector, Pathao has secured funding for expanding its services and developing innovative technology solutions.
Aamra Technologies: This IT and tech services company has garnered funding to advance its technology solutions, expand its market presence, and drive digital transformation.
Dhaka Bank: Dhaka Bank has received notable funding to strengthen its financial products, develop digital banking solutions, and support the growth of Bangladesh’s financial sector.
Accessing Techsalerator’s Business Funding Data
To obtain Techsalerator’s Business Funding Data for Bangladesh, contact info@techsalerator.com with your specific needs. Techsalerator will provide a customized quote based on the required data fields and records, with delivery available within 24 hours. Ongoing access options can also be discussed.
Included Data Fields
For detailed insights into funding activities and financial trends in Bangladesh, Techsalerator’s dataset is an invaluable resource for investors, business analysts, and financial professionals seeking informed, strategic decisions.
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The percentage of respondents who report that they use the internet weekly. The respondents are the entire civilian, noninstitutionalized population age 15 and up in the target economies.
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United States SBP: OS: Last Week Change in Operating Revenue: Decreased data was reported at 38.700 % in 04 Oct 2020. This records an increase from the previous number of 38.400 % for 27 Sep 2020. United States SBP: OS: Last Week Change in Operating Revenue: Decreased data is updated weekly, averaging 42.000 % from Apr 2020 (Median) to 04 Oct 2020, with 18 observations. The data reached an all-time high of 78.000 % in 26 Apr 2020 and a record low of 38.400 % in 27 Sep 2020. United States SBP: OS: Last Week Change in Operating Revenue: Decreased 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.S046: Small Business Pulse Survey: by Sector: Weekly, Beg Sunday (Discontinued).
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TwitterWeekly Economic Calendar shows future release dates of key economic data and publications used by NSW Treasury for monitoring and analysis.
Note: This resource was originally published on opengov.nsw.gov.au. The OpenGov website has been retired. If you have any questions, please contact the Agency Services team at transfer@mhnsw.au
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