100+ datasets found
  1. T

    US Small Business Health Index

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 22, 2014
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2014). US Small Business Health Index [Dataset]. https://tradingeconomics.com/united-states/small-business-sentiment
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Dec 22, 2014
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 28, 2014 - Feb 28, 2015
    Area covered
    United States
    Description

    Small Business Sentiment in the United States increased to 51.67 in February from 49.03 in January of 2015. This dataset provides the latest reported value for - US Small Business Health Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  2. South Korea SBHI: EO: Construction

    • ceicdata.com
    Updated May 18, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2021). South Korea SBHI: EO: Construction [Dataset]. https://www.ceicdata.com/en/korea/small-business-health-index
    Explore at:
    Dataset updated
    May 18, 2021
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    South Korea
    Variables measured
    Enterprises Statistics
    Description

    SBHI: EO: Construction data was reported at 67.900 Index in Mar 2025. This records an increase from the previous number of 59.400 Index for Feb 2025. SBHI: EO: Construction data is updated monthly, averaging 76.300 Index from Jan 2015 (Median) to Mar 2025, with 123 observations. The data reached an all-time high of 89.000 Index in Apr 2017 and a record low of 58.200 Index in Jan 2025. SBHI: EO: Construction data remains active status in CEIC and is reported by Korea Federation of SMEs. The data is categorized under Global Database’s South Korea – Table KR.S131: Small Business Health Index.

  3. F

    Economic Policy Uncertainty Index: Categorical Index: Health care

    • fred.stlouisfed.org
    json
    Updated Jun 2, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Economic Policy Uncertainty Index: Categorical Index: Health care [Dataset]. https://fred.stlouisfed.org/series/EPUHEALTHCARE
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 2, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Economic Policy Uncertainty Index: Categorical Index: Health care (EPUHEALTHCARE) from Jan 1985 to Apr 2025 about healthcare, uncertainty, health, World, and indexes.

  4. d

    Neighborhood Financial Health Digital Mapping and Data Tool

    • catalog.data.gov
    • data.cityofnewyork.us
    Updated Sep 2, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    data.cityofnewyork.us (2023). Neighborhood Financial Health Digital Mapping and Data Tool [Dataset]. https://catalog.data.gov/dataset/neighborhood-financial-health-digital-mapping-and-data-tool
    Explore at:
    Dataset updated
    Sep 2, 2023
    Dataset provided by
    data.cityofnewyork.us
    Description

    "Neighborhood Financial Health (NFH) Digital Mapping and Data Tool provides neighborhood financial health indicator data for every neighborhood in New York City. DCWP's Office of Financial Empowerment (OFE) also developed NFH Indexes to present patterns in the data within and across neighborhoods. NFH Index scores describe relative differences between neighborhoods across the same indicators; they do not evaluate neighborhoods against fixed standards. OFE intends for the NFH Indexes to provide an easy reference tool for comparing neighborhoods, and to establish patterns in the relationship of NFH indicators to economic and demographic factors, such as race and income. Understanding these connections is potentially useful for uncovering systems that perpetuate the racial wealth gap, an issue with direct implications for OFE’s mission to expand asset building opportunities for New Yorkers with low and moderate incomes. This data tool was borne out of the Collaborative for Neighborhood Financial Health, a community-led initiative designed to better understand how neighborhoods influence the financial health of their residents.

  5. f

    Reflections on Financial analysis of economic health - Polish entities case...

    • figshare.com
    pdf
    Updated Jan 18, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Aneta Opioła (2016). Reflections on Financial analysis of economic health - Polish entities case written by: M. Kocot, J. Ochmann, K. Woźniak [Dataset]. http://doi.org/10.6084/m9.figshare.875389.v1
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jan 18, 2016
    Dataset provided by
    figshare
    Authors
    Aneta Opioła
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The review refers to a study performed students from Wroclaw University of Economics: M. Kocot, J. Ochmann, K. Woźniak. They made attempt to analyse financial health of three Polish entities on the basis of an article: A Financial Health Index for Achieving Financial Sustainability written by John Zietlow. A nonprofit, a financial institution and a manufacturing company were taken into consideration.

  6. China CN: Index: CSI 300 Index: Health Care

    • ceicdata.com
    Updated Feb 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    China CN: Index: CSI 300 Index: Health Care [Dataset]. https://www.ceicdata.com/en/china/china-securities-index/cn-index-csi-300-index-health-care
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    China
    Variables measured
    Securities Exchange Index
    Description

    China Index: CSI 300 Index: Health Care data was reported at 7,773.030 31Dec2004=1000 in Apr 2025. This records a decrease from the previous number of 7,956.750 31Dec2004=1000 for Mar 2025. China Index: CSI 300 Index: Health Care data is updated monthly, averaging 7,659.835 31Dec2004=1000 from Jul 2007 (Median) to Apr 2025, with 214 observations. The data reached an all-time high of 18,614.674 31Dec2004=1000 in Jun 2021 and a record low of 2,139.340 31Dec2004=1000 in Oct 2008. China Index: CSI 300 Index: Health Care data remains active status in CEIC and is reported by China Securities Index Co., Ltd.. The data is categorized under China Premium Database’s Financial Market – Table CN.ZA: China Securities Index .

  7. Reflections on research work Social environment and its influence on...

    • figshare.com
    pdf
    Updated Jan 18, 2016
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Magdalena Dziubińska (2016). Reflections on research work Social environment and its influence on economic health of the manufacturing company in food industry [Dataset]. http://doi.org/10.6084/m9.figshare.888483.v1
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jan 18, 2016
    Dataset provided by
    figshare
    Authors
    Magdalena Dziubińska
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This review presents an opinion on the use of model J. Zietlowa at work showing the influence of the social environment on the economic results achieved by the company on the example of the production company operating in the food industry.

  8. F

    Real personal consumption expenditures: Services: Health care (chain-type...

    • fred.stlouisfed.org
    json
    Updated Jun 26, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Real personal consumption expenditures: Services: Health care (chain-type quantity index) [Dataset]. https://fred.stlouisfed.org/series/DHLCRA3Q086SBEA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 26, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Real personal consumption expenditures: Services: Health care (chain-type quantity index) (DHLCRA3Q086SBEA) from Q1 1959 to Q1 2025 about quantity index, chained, health, PCE, consumption expenditures, consumption, personal, services, real, GDP, and USA.

  9. South Korea SBHI: EO: Service industry

    • ceicdata.com
    Updated Feb 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2025). South Korea SBHI: EO: Service industry [Dataset]. https://www.ceicdata.com/en/korea/small-business-health-index/sbhi-eo-service-industry
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    South Korea
    Variables measured
    Enterprises Statistics
    Description

    South Korea SBHI: EO: Service industry data was reported at 69.100 Index in Mar 2025. This records an increase from the previous number of 63.300 Index for Feb 2025. South Korea SBHI: EO: Service industry data is updated monthly, averaging 77.000 Index from Jan 2015 (Median) to Mar 2025, with 123 observations. The data reached an all-time high of 91.300 Index in Sep 2017 and a record low of 47.500 Index in Mar 2020. South Korea SBHI: EO: Service industry data remains active status in CEIC and is reported by Korea Federation of SMEs. The data is categorized under Global Database’s South Korea – Table KR.S131: Small Business Health Index.

  10. f

    Reflections on the work "Use the financial health of an organization in...

    • figshare.com
    pdf
    Updated Jan 18, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dorota Cebula; Paweł Szymański (2016). Reflections on the work "Use the financial health of an organization in financial planning" [Dataset]. http://doi.org/10.6084/m9.figshare.971423.v1
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jan 18, 2016
    Dataset provided by
    figshare
    Authors
    Dorota Cebula; Paweł Szymański
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Review about the work "Use the financial health of an organization in financial planning", which concerns the analysis of the condition of the institution, operating in Polish. These are: non-profit organization - the Foundation Spite of Everything, the financial institution - bank BGK and company Piątnica. The authors of this work are students year of study towards a second degree in Finance and Accounting from the University of Economics in Wroclaw. The work was based on the article by J. Zietlowa Fri: ,,A Financial Health Index for Achieving Financial Sustain

  11. f

    A Sokołowska FHI Zietlow

    • figshare.com
    pdf
    Updated Jan 18, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Angelika Sokołowska (2016). A Sokołowska FHI Zietlow [Dataset]. http://doi.org/10.6084/m9.figshare.978951.v1
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jan 18, 2016
    Dataset provided by
    figshare
    Authors
    Angelika Sokołowska
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The paper presents a comprehensive analysis of the financial condition of the company inmining industry. Based on the Financial Health Index by John Zietlow future and presumedfinancial condition of the entity was examined. The indicators on which the index above isbased include: short and long-term factors that have an impact on the company. They allow to evaluate the planned liquidity, flexibility, as well as the solvency of the entity for the periodfrom 2014 to 2015.Financial information used in the work are derived from hypothetical financial statements inthe period 20014-2015

  12. 2024 Index of Economic Freedom

    • statista.com
    • ai-chatbox.pro
    Updated May 30, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). 2024 Index of Economic Freedom [Dataset]. https://www.statista.com/statistics/256965/worldwide-index-of-economic-freedom/
    Explore at:
    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Singapore led the Index of Economic Freedom in 2024, with an index score of 83.5 out of 100. Switzerland, Ireland, Taiwan, and Luxembourg rounded out the top five. Economic Freedom Index In order to calculate the Economic Freedom Index, the source takes 12 different factors into account, including the rule of law, government size, regulatory efficiency, and open markets. All 12 factors are rated on a scale of zero to 100 and are weighted equally. Every country is rated within the Index in order to provide insight into the health and freedom of the global economy. Singapore's economy Singapore is one of the four so-called Asian Tigers, a term used to describe four countries in Asia that saw a booming economic development from the 1950s to the early 1990. Today, the City-State is known for its many skyscrapers, and its economy continue to boom. It has one of the lowest tax-rates in the Asia-Pacific region, and continues to be open towards foreign direct investment (FDI). Moreover, Singapore has one of the highest trade-to-GDP ratios worldwide, underlining its export-oriented economy. Finally, its geographic location has given it a strategic position as a center connecting other countries in the region with the outside world. However, the economic boom has come at a cost, with the city now ranked among the world's most expensive.

  13. F

    Producer Price Index by Commodity: Health Care Services: Medicare Patients:...

    • fred.stlouisfed.org
    json
    Updated Jun 12, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Producer Price Index by Commodity: Health Care Services: Medicare Patients: Physician Care [Dataset]. https://fred.stlouisfed.org/series/WPU51110102
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 12, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Producer Price Index by Commodity: Health Care Services: Medicare Patients: Physician Care (WPU51110102) from Jun 2014 to May 2025 about physicians, healthcare, health, services, commodities, PPI, inflation, price index, indexes, price, and USA.

  14. T

    China Leading Economic Index

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS, China Leading Economic Index [Dataset]. https://tradingeconomics.com/china/leading-economic-index
    Explore at:
    json, csv, excel, xmlAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1986 - Apr 30, 2025
    Area covered
    China
    Description

    Leading Economic Index China increased to 149.20 in April of 2025 over the same month in the previous year. This dataset provides - China Leading Economic Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  15. d

    COVID-19 Key Economic, Social, and Overall Health Impacts in King County

    • datasets.ai
    • data.kingcounty.gov
    • +1more
    21
    Updated Aug 12, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    King County, Washington (2024). COVID-19 Key Economic, Social, and Overall Health Impacts in King County [Dataset]. https://datasets.ai/datasets/covid-19-key-economic-social-and-overall-health-impacts-in-king-county
    Explore at:
    21Available download formats
    Dataset updated
    Aug 12, 2024
    Dataset authored and provided by
    King County, Washington
    Area covered
    King County
    Description

    Updated weekly Public Health — Seattle & King County is monitoring changes in key economic, social, and other health indicators resulting from strategies to slow the spread of COVID-19. The metrics below were selected based on studies from previous outbreaks, which have linked strategies such as social distancing, school closures, and business closures to specific outcomes. Individual indicators in the grid below are updated daily, weekly, or monthly, depending on the source of data. Additional data will be added over time.

  16. f

    Refleksje na temat pracy A. Then

    • figshare.com
    • search.datacite.org
    pdf
    Updated Jan 18, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Paweł Szymański (2016). Refleksje na temat pracy A. Then [Dataset]. http://doi.org/10.6084/m9.figshare.978507.v1
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jan 18, 2016
    Dataset provided by
    figshare
    Authors
    Paweł Szymański
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This review aims to explore the proper execution of the work " Use the financial health of an organization in financial planning on a example of a company engaged in the production of food" by student of the University of Economics in Wroclaw. The analysis contained in the reviewed work was based on the financial health index (called Financial Health Index) developed by John Zietlowa.

  17. United States New York Stock Exchange: Index: Dow Jones US Select Sector:...

    • ceicdata.com
    Updated May 21, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2025). United States New York Stock Exchange: Index: Dow Jones US Select Sector: Health Care Providers Index [Dataset]. https://www.ceicdata.com/en/united-states/new-york-stock-exchange-dow-jones-monthly
    Explore at:
    Dataset updated
    May 21, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    United States
    Description

    New York Stock Exchange: Index: Dow Jones US Select Sector: Health Care Providers Index data was reported at 27,844.910 NA in Apr 2025. This records a decrease from the previous number of 29,279.610 NA for Mar 2025. New York Stock Exchange: Index: Dow Jones US Select Sector: Health Care Providers Index data is updated monthly, averaging 19,608.350 NA from Aug 2013 (Median) to Apr 2025, with 141 observations. The data reached an all-time high of 32,324.470 NA in Aug 2024 and a record low of 9,141.580 NA in Aug 2013. New York Stock Exchange: Index: Dow Jones US Select Sector: Health Care Providers Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: Dow Jones: Monthly.

  18. d

    Modified Retail Food Environment Index

    • catalog.data.gov
    • data.chhs.ca.gov
    • +3more
    Updated Nov 27, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    California Department of Public Health (2024). Modified Retail Food Environment Index [Dataset]. https://catalog.data.gov/dataset/modified-retail-food-environment-index-d947d
    Explore at:
    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Department of Public Health
    Description

    This table contains data on the modified retail food environment index for California, its regions, counties, cities, towns, and census tracts. An adequate, nutritious diet is a necessity at all stages of life. Pregnant women and their developing babies, children, adolescents, adults, and older adults depend on adequate nutrition for optimum development and maintenance of health and functioning. Nutrition also plays a significant role in causing or preventing a number of illnesses, such as cardiovascular disease, some cancers, obesity, type-2 diabetes, and anemia. Peoples’ food choices and their likelihood of being overweight or obese are also influenced by their food environment: the foods available in their neighborhoods including stores, restaurants, schools, and worksites. The modified retail food environment index table is part of a series of indicators in the Healthy Communities Data and Indicators Project (HCI) of the Office of Health Equity. The goal of HCI is to enhance public health by providing data, a standardized set of statistical measures, and tools that a broad array of sectors can use for planning healthy communities and evaluating the impact of plans, projects, policy, and environmental changes on community health. The creation of healthy social, economic, and physical environments that promote healthy behaviors and healthy outcomes requires coordination and collaboration across multiple sectors, including transportation, housing, education, agriculture and others. Statistical metrics, or indicators, are needed to help local, regional, and state public health and partner agencies assess community environments and plan for healthy communities that optimize public health. More information on HCI can be found here: https://www.cdph.ca.gov/Programs/OHE/CDPH%20Document%20Library/Accessible%202%20CDPH_Healthy_Community_Indicators1pager5-16-12.pdf The format of the modified retail food environment table is based on the standardized data format for all HCI indicators. As a result, this data table contains certain variables used in the HCI project (e.g., indicator ID, and indicator definition). Some of these variables may contain the same value for all observations.

  19. T

    United States - Producer Price Index by Commodity: Health Care Services:...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 9, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2020). United States - Producer Price Index by Commodity: Health Care Services: Inpatient Care [Dataset]. https://tradingeconomics.com/united-states/producer-price-index-by-commodity-for-health-care-services-inpatient-care-fed-data.html
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    Mar 9, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Producer Price Index by Commodity: Health Care Services: Inpatient Care was 139.10700 Index Jun 2009=100 in March of 2022, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Commodity: Health Care Services: Inpatient Care reached a record high of 139.10700 in March of 2022 and a record low of 100.00000 in June of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Commodity: Health Care Services: Inpatient Care - last updated from the United States Federal Reserve on May of 2025.

  20. f

    Wykorzystanie oceny zdrowia finansowego podmiotu do planowania finansowego...

    • figshare.com
    pdf
    Updated Jan 18, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Paweł Szymański (2016). Wykorzystanie oceny zdrowia finansowego podmiotu do planowania finansowego D.Kahlert, E.Manaj, P. Szymański [Dataset]. http://doi.org/10.6084/m9.figshare.972995.v1
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jan 18, 2016
    Dataset provided by
    figshare
    Authors
    Paweł Szymański
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This paper presents an assessment of the financial situation of the three entities operating in different sectors: financial, non-financial and non-profit organizations. Assessment of the financial condition of the selected subjects was based on the model of FHI (Financial Health Index) developed by John Zietlowa. This model uses 15 different indicators assigned to four main groups, which in turn has the correct weight with which you can accurately assess the financial situation of the surveyed entities Zietlowa index is calculated as the sum of the products of the weights of indicators. This work includes the calculation of the real figures of three Polish economic entities for the period 2009-2011.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
TRADING ECONOMICS (2014). US Small Business Health Index [Dataset]. https://tradingeconomics.com/united-states/small-business-sentiment

US Small Business Health Index

US Small Business Health Index - Historical Dataset (2014-02-28/2015-02-28)

Explore at:
json, xml, excel, csvAvailable download formats
Dataset updated
Dec 22, 2014
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Feb 28, 2014 - Feb 28, 2015
Area covered
United States
Description

Small Business Sentiment in the United States increased to 51.67 in February from 49.03 in January of 2015. This dataset provides the latest reported value for - US Small Business Health Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Search
Clear search
Close search
Google apps
Main menu