100+ datasets found
  1. E

    Etf Index Fund Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 23, 2025
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    Market Research Forecast (2025). Etf Index Fund Report [Dataset]. https://www.marketresearchforecast.com/reports/etf-index-fund-52099
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Mar 23, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

    https://www.marketresearchforecast.com/privacy-policyhttps://www.marketresearchforecast.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The ETF index fund market is experiencing robust growth, driven by increasing investor demand for diversified, low-cost investment vehicles. The market's expansion is fueled by several key factors. First, the rising popularity of passive investment strategies, where investors track market indices rather than actively picking individual stocks, significantly boosts ETF adoption. This is particularly evident among retail investors seeking convenient and cost-effective access to diversified portfolios. Second, technological advancements and increased online brokerage accessibility have lowered the barrier to entry, making ETF investing more accessible to a wider range of demographics. Third, regulatory changes and the introduction of innovative ETF products catering to specific investment goals (e.g., ESG investing) further stimulate market expansion. Competition among major players like BlackRock, Vanguard, and State Street Global Advisors, along with the emergence of regional players in Asia, adds dynamism to the market landscape. While the market demonstrates significant potential, certain challenges exist. Increased market volatility can impact investor sentiment and trading volume. Regulatory scrutiny and evolving compliance requirements pose ongoing challenges for ETF providers. Furthermore, the increasing complexity of ETF products, coupled with the need for greater financial literacy among investors, necessitates effective investor education initiatives. Despite these hurdles, the long-term outlook for the ETF index fund market remains positive, projected to maintain a healthy Compound Annual Growth Rate (CAGR) throughout the forecast period. This sustained growth is predicated on the enduring appeal of passive investment strategies, technological advancements, and the continued innovation within the ETF product landscape. Geographic expansion, particularly within emerging markets, presents substantial growth opportunities for existing and new market entrants.

  2. F

    S&P 500

    • fred.stlouisfed.org
    json
    Updated Jul 11, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
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    jsonAvailable download formats
    Dataset updated
    Jul 11, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Description

    View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

  3. M

    Emerging Markets Corporate Yield Index (1998-2025)

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Emerging Markets Corporate Yield Index (1998-2025) [Dataset]. https://www.macrotrends.net/5079/emerging-markets-corporate-yield-index
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    1998 - 2025
    Area covered
    United States
    Description

    This data represents the effective yield of the ICE BofA BB Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated BB1 through BB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https://fred.stlouisfed.org/series/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.

    Certain indices and index data included in FRED are the property of ICE Data Indices, LLC (“ICE DATA”) and used under license. ICE® IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA® IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (“BOFA”) AND MAY NOT BE USED WITHOUT BOFA’S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN “AS IS” BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.

    Copyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.

    The end of day Index values, Index returns, and Index statistics (“Top Level Data”) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data. Neither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages. The Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions. You shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data. ICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith. You shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose. Access to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason. ICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use. The FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers.

  4. Case Mix Index

    • catalog.data.gov
    • data.chhs.ca.gov
    • +2more
    Updated Nov 27, 2024
    + more versions
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    Department of Health Care Access and Information (2024). Case Mix Index [Dataset]. https://catalog.data.gov/dataset/case-mix-index-12b17
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    Department of Health Care Access and Information
    Description

    The Case Mix Index (CMI) is the average relative DRG weight of a hospital’s inpatient discharges, calculated by summing the Medicare Severity-Diagnosis Related Group (MS-DRG) weight for each discharge and dividing the total by the number of discharges. The CMI reflects the diversity, clinical complexity, and resource needs of all the patients in the hospital. A higher CMI indicates a more complex and resource-intensive case load. Although the MS-DRG weights, provided by the Centers for Medicare & Medicaid Services (CMS), were designed for the Medicare population, they are applied here to all discharges regardless of payer. Note: It is not meaningful to add the CMI values together.

  5. d

    Global Stock, ETF, and Index data

    • datarade.ai
    .json, .csv
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    Twelve Data, Global Stock, ETF, and Index data [Dataset]. https://datarade.ai/data-products/twelve-data-world-stock-forex-crypto-data-via-api-and-webs-twelve-data
    Explore at:
    .json, .csvAvailable download formats
    Dataset authored and provided by
    Twelve Data
    Area covered
    Costa Rica, Micronesia (Federated States of), United States Minor Outlying Islands, Mozambique, Christmas Island, Burundi, Afghanistan, Egypt, Iran (Islamic Republic of), Belarus
    Description

    Twelve Data is a technology-driven company that provides financial market data, financial tools, and dedicated solutions. Large audiences - from individuals to financial institutions - use our products to stay ahead of the competition and success.

    At Twelve Data we feel responsible for where the markets are going and how people are able to explore them. Coming from different technological backgrounds, we see how the world is lacking the unique and simple place where financial data can be accessed by anyone, at any time. This is what distinguishes us from others, we do not only supply the financial data but instead, we want you to benefit from it, by using the convenient format, tools, and special solutions.

    We believe that the human factor is still a very important aspect of our work and therefore our ethics guides us on how to treat people, with convenient and understandable resources. This includes world-class documentation, human support, and dedicated solutions.

  6. d

    Public Investment Community Index

    • catalog.data.gov
    • data.ct.gov
    Updated Jul 20, 2024
    + more versions
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    data.ct.gov (2024). Public Investment Community Index [Dataset]. https://catalog.data.gov/dataset/public-investment-community-index
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    Dataset updated
    Jul 20, 2024
    Dataset provided by
    data.ct.gov
    Description

    The Office of Policy and Management (OPM) prepares the Public Investment Community (PIC) index not later than July 15 annually, pursuant to §7-545 of the Connecticut General Statutes (CGS). The PIC index measures the relative wealth and need of Connecticut’s towns by ranking them in descending order by their cumulative point allocations for: (1) per capita income; (2) adjusted equalized net grand list per capita; (3) equalized mill rate; (4) per capita aid to children receiving Temporary Family Assistance program benefits; and (5) unemployment rate. Pursuant to CGS §7-545 the PIC index includes each town that has a cumulative point ranking in the top quartile of the PIC Index (i.e. the 42 towns with the highest number of points). When a town’s ranking falls below the top quartile in a given fiscal year, the town's designation as a Public Investment Community continues for that year and the following four fiscal years. As a result, the PIC index includes certain towns carried over from previous fiscal years. The PIC index determines eligibility for several financial assistance programs that various agencies administer, including: -Urban Action Bond Assistance -Small Town Economic Assistance Program -Community Economic Development Program -Residential Mortgage Guarantee Program -Education Cost Sharing -Malpractice Insurance Purchase Program -Connecticut Manufacturing Innovation Fund -Enterprise Corridor Zone Designation Most of the towns included on the PIC index are eligible to elect for assistance under the Small Town Economic Assistance Program (STEAP) in lieu of Urban Action Bond assistance, pursuant to CGS §4-66g(b). An eligible town’s legislative body (or its board of selectmen if the town’s legislative body is the town meeting) must vote to choose STEAP assistance and the town must notify OPM following the vote. STEAP election is valid for four years and the statute allows extensions for additional four-year periods. STEAP election is not available for Ansonia, Bridgeport, Bristol, Danbury, East Hartford, Enfield, Groton, Hartford, Killingly, Manchester, Meriden, Middletown, New Britain, New Haven, New London, Norwalk, Norwich, Stamford, Torrington, Vernon, Waterbury, West Hartford, West Haven, and Windham. Pursuant to CGS §7-545, the following municipalities are also Public Investment Communities: Groton Montville Preston Scotland Thomaston Thompson Voluntown Wethersfield

  7. M

    ICE BofA BBB Corporate Index Spread (1996-2025)

    • macrotrends.net
    csv
    Updated Jun 30, 2025
    + more versions
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    MACROTRENDS (2025). ICE BofA BBB Corporate Index Spread (1996-2025) [Dataset]. https://www.macrotrends.net/3031/ice-bofa-bbb-corporate-index-spread
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    1996 - 2025
    Area covered
    United States
    Description

    This data represents the Option-Adjusted Spread (OAS) of the ICE BofA BBB US Corporate Index, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating BBB. The ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.

    Certain indices and index data included in FRED are the property of ICE Data Indices, LLC (“ICE DATA”) and used under license. ICE® IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA® IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (“BOFA”) AND MAY NOT BE USED WITHOUT BOFA’S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN “AS IS” BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.

    Copyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.

    The end of day Index values, Index returns, and Index statistics (“Top Level Data”) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data. Neither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages. The Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions. You shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data. ICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith. You shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose. Access to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason. ICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use. The FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers.

  8. Corporate sustainability index of energy companies in Indonesia 2023

    • statista.com
    Updated Jul 24, 2024
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    Statista (2024). Corporate sustainability index of energy companies in Indonesia 2023 [Dataset]. https://www.statista.com/statistics/1423319/indonesia-energy-companies-corporate-sustainability-index/
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    Dataset updated
    Jul 24, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Indonesia
    Description

    In 2023, PT Pertamina Geothermal Energy Tbk secured the highest position among energy companies in Indonesia for corporate sustainability, scoring 74.57 out of 100. The median score of the overall corporate sustainability index for the energy companies assessed was 49.13 out of 100.

  9. United States PPI Weights: Health Care: Outpatient: Physician

    • ceicdata.com
    + more versions
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    CEICdata.com, United States PPI Weights: Health Care: Outpatient: Physician [Dataset]. https://www.ceicdata.com/en/united-states/producer-price-index-by-whereverprovided-services-and-construction-weights/ppi-weights-health-care-outpatient-physician
    Explore at:
    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
    Dec 1, 2013 - Dec 1, 2024
    Area covered
    United States
    Description

    United States PPI Weights: Health Care: Outpatient: Physician data was reported at 22.808 % in 2024. This records a decrease from the previous number of 22.966 % for 2023. United States PPI Weights: Health Care: Outpatient: Physician data is updated yearly, averaging 23.625 % from Dec 2009 (Median) to 2024, with 16 observations. The data reached an all-time high of 24.944 % in 2009 and a record low of 22.808 % in 2024. United States PPI Weights: Health Care: Outpatient: Physician data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I070: Producer Price Index: by Wherever-Provided Services and Construction: Weights.

  10. Italy Index: FTSE Italia All Share: Telecommunications: Service Providers

    • ceicdata.com
    Updated Dec 15, 2020
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    CEICdata.com (2020). Italy Index: FTSE Italia All Share: Telecommunications: Service Providers [Dataset]. https://www.ceicdata.com/en/italy/ftse-index-enhanced-icb-framework/index-ftse-italia-all-share-telecommunications-service-providers
    Explore at:
    Dataset updated
    Dec 15, 2020
    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
    Jul 1, 2021 - Jun 1, 2022
    Area covered
    Italy
    Variables measured
    Indicator
    Description

    Italy Index: FTSE Italia All Share: Telecommunications: Service Providers data was reported at 22,251.316 19Dec2008=20000 in Jun 2022. This records a decrease from the previous number of 24,920.024 19Dec2008=20000 for May 2022. Italy Index: FTSE Italia All Share: Telecommunications: Service Providers data is updated monthly, averaging 27,183.500 19Dec2008=20000 from Mar 2021 (Median) to Jun 2022, with 16 observations. The data reached an all-time high of 30,544.049 19Dec2008=20000 in Nov 2021 and a record low of 22,251.316 19Dec2008=20000 in Jun 2022. Italy Index: FTSE Italia All Share: Telecommunications: Service Providers data remains active status in CEIC and is reported by FTSE Russell. The data is categorized under Global Database’s Italy – Table IT.Z001: FTSE Index: Enhanced ICB Framework.

  11. d

    Woodseer Dividend Forecasting Global (25k+ securities, 1000+ indices)

    • datarade.ai
    .csv, .xls
    Updated Feb 20, 2021
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    Exchange Data International (2021). Woodseer Dividend Forecasting Global (25k+ securities, 1000+ indices) [Dataset]. https://datarade.ai/data-products/woodseer-dividend-forecasting-exchange-data-international
    Explore at:
    .csv, .xlsAvailable download formats
    Dataset updated
    Feb 20, 2021
    Dataset authored and provided by
    Exchange Data International
    Area covered
    Canada, United States of America
    Description

    Estimate income and evaluate stocks and ETFs based on accurate two year forward dividend forecasts across 25k+ securities globally.

    Use our forward dividend prediction data feed to obtain up-to-date information on the dates and payments of thousands of securities across 1000+ indices / 100+ countries.

    Our single stock and ETF dividend forecast data elements include:

    -Predicted ex, record and pay dates -Amount and currency -Dividend type / frequency -Unique Dividend Forecast Data Methodology

    In these times of accelerating change our tech-driven approach gives us a powerful and disruptive edge over the older, more traditional forecasting methodologies Working from EDI’s global corporate actions database (dating back to 2012) our dividend projections are based on a combination of stated dividend policies and predictable patterns. The estimate data is generated by a dedicated London team working with our proprietary algorithm and enhanced with manual analyst input where required. This algorithm+analyst approach gives estimates with both huge scale and strong accuracy – our forward-looking data runs two full fiscal years ahead for well over 25,000 securities including equity, ADR and ETF future projections.

    Our Woodseer single stock forecast data-set went live in January 2017, and the ETF dividend forecast product launched in July 2019 with detailed forward projections (dates and amounts) for over 1400 ETFs including 700+ US-listed. Working closely with a specialist ETF data provider we combine their compositional ETF data with our own underlying security estimates to produce accurate ‘bottom-up’ forecasts.

    Clients include asset managers and custodians, index providers, options market makers, hedge funds, single stock and index traders.

  12. Informatics professional services price indexes (IPSPI), internet service...

    • data.wu.ac.at
    • www150.statcan.gc.ca
    • +3more
    csv, html, xml
    Updated Jun 27, 2018
    + more versions
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    Statistics Canada | Statistique Canada (2018). Informatics professional services price indexes (IPSPI), internet service providers, by North American Industry Classification System (NAICS) [Dataset]. https://data.wu.ac.at/schema/www_data_gc_ca/OTgwNDRmNjYtODMzMS00ZDA5LWI4YjQtMTY4MjhhMGQ5MWMx
    Explore at:
    csv, html, xmlAvailable download formats
    Dataset updated
    Jun 27, 2018
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    This table contains 3 series, with data for years 2003 - 2007 (not all combinations necessarily have data for all years), and was last released on 2011-03-31. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), North American Industry Classification System (NAICS) (3 items: Total price; internet service providers; Labour cost; internet service providers; Realized net multiplier; internet service providers ...).

  13. Mobile telecommunication brand competitiveness index in South Korea 2024

    • statista.com
    Updated Oct 22, 2024
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    Statista (2024). Mobile telecommunication brand competitiveness index in South Korea 2024 [Dataset]. https://www.statista.com/statistics/666926/south-korea-mobile-telecommunication-brand-competitiveness-index/
    Explore at:
    Dataset updated
    Oct 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    South Korea
    Description

    According to the National Brand Competitiveness Index of mobile telecommunication brands in South Korea in 2024, the brand competitiveness index of SK Telecom measured 78 out of 100.

  14. United States CPI UW: EC: Comm: IP: IT: Internet Svcs & Information...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States CPI UW: EC: Comm: IP: IT: Internet Svcs & Information Providers [Dataset]. https://www.ceicdata.com/en/united-states/consumer-price-index-urban-weights/cpi-uw-ec-comm-ip-it-internet-svcs--information-providers
    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
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    United States
    Variables measured
    Consumer Prices
    Description

    United States CPI UW: EC: Comm: IP: IT: Internet Svcs & Information Providers data was reported at 0.777 % in Jun 2018. This records an increase from the previous number of 0.770 % for May 2018. United States CPI UW: EC: Comm: IP: IT: Internet Svcs & Information Providers data is updated monthly, averaging 0.284 % from Jan 1998 (Median) to Jun 2018, with 246 observations. The data reached an all-time high of 0.788 % in Jan 2018 and a record low of 0.010 % in Jun 1999. United States CPI UW: EC: Comm: IP: IT: Internet Svcs & Information Providers data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.I010: Consumer Price Index: Urban: Weights.

  15. Master Veteran Index (MVI)

    • catalog.data.gov
    • data.va.gov
    • +3more
    Updated Apr 25, 2021
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    Department of Veterans Affairs (2021). Master Veteran Index (MVI) [Dataset]. https://catalog.data.gov/dataset/master-veteran-index-mvi
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    Dataset updated
    Apr 25, 2021
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    As of June 28, 2010, the Master Veteran Index (MVI) database based on the enhanced Master Patient Index (MPI) is the authoritative identity service within the VA, establishing, maintaining and synchronizing identities for VA clients, Veterans and beneficiaries. The MVI includes authoritative sources for health identity data and contains over 17 million patient entries populated from all VHA facilities nationwide. The MVI provides the access point mechanism for linking patient's information to enable an enterprise-wide view of patient information, uniquely identifies all active patients who have been admitted, treated, or registered in any VHA facility, and assigns a unique identifier to the patient. The MVI correlates a patient's identity across the enterprise, including all VistA systems and external systems, such as Department of Defense (DoD) and the Nationwide Health Information Network (NwHIN). The MVI facilitates the sharing of health information, resulting in coordinated and integrated health care for Veterans. New Information Technology systems must be interoperable with the MVI and legacy systems will establish integration by October 1, 2012. The Healthcare Identity Management (HC IdM) Team within VHA's Data Quality Program is the steward of patient identity data, performing maintenance and support activities.

  16. F

    Consumer Price Index for All Urban Consumers: Hospital and Related Services...

    • fred.stlouisfed.org
    json
    Updated Jun 11, 2025
    + more versions
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    (2025). Consumer Price Index for All Urban Consumers: Hospital and Related Services in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/CUSR0000SEMD
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 11, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Consumer Price Index for All Urban Consumers: Hospital and Related Services in U.S. City Average (CUSR0000SEMD) from Jan 1978 to May 2025 about hospitals, urban, consumer, services, CPI, inflation, price index, indexes, price, and USA.

  17. Transportation Services Index - Passenger

    • catalog.data.gov
    • data.virginia.gov
    Updated Jan 2, 2025
    + more versions
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    Bureau of Transportation Statistics (2025). Transportation Services Index - Passenger [Dataset]. https://catalog.data.gov/dataset/transportation-services-index-passenger
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    Dataset updated
    Jan 2, 2025
    Dataset provided by
    Bureau of Transportation Statisticshttp://www.rita.dot.gov/bts
    Description

    A monthly measure of the volume of services performed by the for-hire transportation sector. The index covers the activities of local mass transit, intercity passenger rail, and passenger air transportation.

  18. a

    California Healthy Places Index

    • usc-geohealth-hub-uscssi.hub.arcgis.com
    • uscssi.hub.arcgis.com
    Updated Mar 29, 2021
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    Spatial Sciences Institute (2021). California Healthy Places Index [Dataset]. https://usc-geohealth-hub-uscssi.hub.arcgis.com/datasets/california-healthy-places-index/about
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    Dataset updated
    Mar 29, 2021
    Dataset authored and provided by
    Spatial Sciences Institute
    Area covered
    Description

    This dataset provides 2018 Healthy Places Index (HPI) scores for each census tract in California as calculated by the Public Health Alliance of Southern California. The HPI is comprised of 25 individual indicators organized in 8 policy action areas (domains) of economy, education, healthcare access, housing, neighborhoods, clean environment, transportation, and social environment. Read the Healthy Places Index to learn more about index interpretation. Information like this may be useful for studying public health equity across areas of different socioeconomic demographics.Spatial Extent: CaliforniaSpatial Unit: Census TractCreated: 2018Updated: n/aSource: Public Health Alliance of Southern CaliforniaContact Telephone: Contact Email: PHASoCal@PHI.orgSource Link: https://healthyplacesindex.org/data-reports/

  19. d

    SNAP Program Access Index (PAI)

    • catalog.data.gov
    • data.cityofnewyork.us
    • +1more
    Updated Mar 14, 2025
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    data.cityofnewyork.us (2025). SNAP Program Access Index (PAI) [Dataset]. https://catalog.data.gov/dataset/snap-program-access-index-pai
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    Dataset updated
    Mar 14, 2025
    Dataset provided by
    data.cityofnewyork.us
    Description
  20. Environmental Quality Index

    • catalog.data.gov
    • data.amerigeoss.org
    Updated Nov 12, 2020
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    U.S. EPA Office of Research and Development (ORD) (2020). Environmental Quality Index [Dataset]. https://catalog.data.gov/dataset/environmental-quality-index
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    Dataset updated
    Nov 12, 2020
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Description

    An Environmental Quality Index (EQI) for all counties in the United States for the time period 2000-2005 was developed which incorporated data from five environmental domains: air, water, land, built, and socio-demographic. The EQI was developed in four parts: domain identification; data source identification and review; variable construction; and data reduction using principal components analysis (PCA). The methods applied provide a reproducible approach that capitalizes almost exclusively on publically-available data sources. The primary goal in creating the EQI is to use it as a composite environmental indicator for research on human health. A series of peer reviewed manuscripts utilized the EQI in examining health outcomes. This dataset is not publicly accessible because: This series of papers are considered Human health research - not to be loaded onto ScienceHub. It can be accessed through the following means: The EQI data can be accessed at: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. Format: EQI data, metadata, formats, and data dictionary all available at website. This dataset is associated with the following publications: Gray, C., L. Messer, K. Rappazzo, J. Jagai, S. Grabich, and D. Lobdell. The association between physical inactivity and obesity is modified by five domains of environmental quality in U.S. adults: A cross-sectional study. PLoS ONE. Public Library of Science, San Francisco, CA, USA, 13(8): e0203301, (2018). Patel, A., J. Jagai, L. Messer, C. Gray, K. Rappazzo, S. DeflorioBarker, and D. Lobdell. Associations between environmental quality and infant mortality in the United States, 2000-2005. Archives of Public Health. BioMed Central Ltd, London, UK, 76(60): 1, (2018). Gray, C., D. Lobdell, K. Rappazzo, Y. Jian, J. Jagai, L. Messer, A. Patel, S. Deflorio-Barker, C. Lyttle, J. Solway, and A. Rzhetsky. Associations between environmental quality and adult asthma prevalence in medical claims data. ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam, NETHERLANDS, 166: 529-536, (2018).

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Market Research Forecast (2025). Etf Index Fund Report [Dataset]. https://www.marketresearchforecast.com/reports/etf-index-fund-52099

Etf Index Fund Report

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ppt, doc, pdfAvailable download formats
Dataset updated
Mar 23, 2025
Dataset authored and provided by
Market Research Forecast
License

https://www.marketresearchforecast.com/privacy-policyhttps://www.marketresearchforecast.com/privacy-policy

Time period covered
2025 - 2033
Area covered
Global
Variables measured
Market Size
Description

The ETF index fund market is experiencing robust growth, driven by increasing investor demand for diversified, low-cost investment vehicles. The market's expansion is fueled by several key factors. First, the rising popularity of passive investment strategies, where investors track market indices rather than actively picking individual stocks, significantly boosts ETF adoption. This is particularly evident among retail investors seeking convenient and cost-effective access to diversified portfolios. Second, technological advancements and increased online brokerage accessibility have lowered the barrier to entry, making ETF investing more accessible to a wider range of demographics. Third, regulatory changes and the introduction of innovative ETF products catering to specific investment goals (e.g., ESG investing) further stimulate market expansion. Competition among major players like BlackRock, Vanguard, and State Street Global Advisors, along with the emergence of regional players in Asia, adds dynamism to the market landscape. While the market demonstrates significant potential, certain challenges exist. Increased market volatility can impact investor sentiment and trading volume. Regulatory scrutiny and evolving compliance requirements pose ongoing challenges for ETF providers. Furthermore, the increasing complexity of ETF products, coupled with the need for greater financial literacy among investors, necessitates effective investor education initiatives. Despite these hurdles, the long-term outlook for the ETF index fund market remains positive, projected to maintain a healthy Compound Annual Growth Rate (CAGR) throughout the forecast period. This sustained growth is predicated on the enduring appeal of passive investment strategies, technological advancements, and the continued innovation within the ETF product landscape. Geographic expansion, particularly within emerging markets, presents substantial growth opportunities for existing and new market entrants.

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