42 datasets found
  1. C

    China Banking Climate Index: Loan Demand: Small & Micro Enterprise

    • ceicdata.com
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    CEICdata.com, China Banking Climate Index: Loan Demand: Small & Micro Enterprise [Dataset]. https://www.ceicdata.com/en/china/banker-survey-report-the-peoples-bank-of-china/banking-climate-index-loan-demand-small--micro-enterprise
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Sep 1, 2021 - Jun 1, 2024
    Area covered
    China
    Variables measured
    Business Climate Survey
    Description

    China Banking Climate Index: Loan Demand: Small & Micro Enterprise data was reported at 60.100 % in Jun 2024. This records a decrease from the previous number of 72.000 % for Mar 2024. China Banking Climate Index: Loan Demand: Small & Micro Enterprise data is updated quarterly, averaging 71.750 % from Mar 2009 (Median) to Jun 2024, with 62 observations. The data reached an all-time high of 83.100 % in Sep 2011 and a record low of 55.800 % in Sep 2016. China Banking Climate Index: Loan Demand: Small & Micro Enterprise data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OF: Banker Survey Report: The People's Bank of China.

  2. C

    China Banking Climate Index: Profitability

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). China Banking Climate Index: Profitability [Dataset]. https://www.ceicdata.com/en/china/banker-survey-report-the-peoples-bank-of-china/banking-climate-index-profitability
    Explore at:
    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Sep 1, 2021 - Jun 1, 2024
    Area covered
    China
    Variables measured
    Business Climate Survey
    Description

    China Banking Climate Index: Profitability data was reported at 55.500 % in Jun 2024. This records a decrease from the previous number of 59.700 % for Mar 2024. China Banking Climate Index: Profitability data is updated quarterly, averaging 66.700 % from Mar 2009 (Median) to Jun 2024, with 62 observations. The data reached an all-time high of 90.400 % in Dec 2011 and a record low of 50.500 % in Mar 2020. China Banking Climate Index: Profitability data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OF: Banker Survey Report: The People's Bank of China.

  3. Mitigation Banks

    • geodata.dep.state.fl.us
    • hub.arcgis.com
    • +2more
    Updated Oct 28, 2014
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    Florida Department of Environmental Protection (2014). Mitigation Banks [Dataset]. https://geodata.dep.state.fl.us/maps/FDEP::mitigation-banks
    Explore at:
    Dataset updated
    Oct 28, 2014
    Dataset authored and provided by
    Florida Department of Environmental Protectionhttp://www.floridadep.gov/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This is a statewide layer representing mitigation banks permitted under Ch. 373.4136, Florida Statutes. Florida mitigation bank information is important for wetland permit reviewers and developers that may need mitigation options. The layer can also serve to enhance information on conservation lands. Mitigation Banks may be permitted by DEP or a Water Management District, but are used by both agencies, creating the need for a statewide layer. Mitigation banking is a practice in which an environmental enhancement and preservation project is conducted by a public agency or private entity (banker) to provide mitigation for unavoidable wetland impacts within a defined region (represented in the Mitigation Banks Service Area layer). The bank is the site itself (this data layer), and the currency sold by the banker to the impact permittee is a credit, which represents the wetland ecological value equivalent to the complete restoration of one acre. The number of potential credits permitted for the bank and the credit debits required for impact permits are determined by the permitting agencies, and this information is provided in the data layer table. For more information on mitigation banking, go to https://floridadep.gov/water/submerged-lands-environmental-resources-coordination/content/mitigation-and-mitigation-banking

  4. C

    China Banking Climate Index: Loan Approval

    • ceicdata.com
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    CEICdata.com, China Banking Climate Index: Loan Approval [Dataset]. https://www.ceicdata.com/en/china/banker-survey-report-the-peoples-bank-of-china/banking-climate-index-loan-approval
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Sep 1, 2021 - Jun 1, 2024
    Area covered
    China
    Variables measured
    Business Climate Survey
    Description

    China Banking Climate Index: Loan Approval data was reported at 54.500 % in Jun 2024. This records a decrease from the previous number of 55.000 % for Mar 2024. China Banking Climate Index: Loan Approval data is updated quarterly, averaging 48.150 % from Mar 2009 (Median) to Jun 2024, with 62 observations. The data reached an all-time high of 64.700 % in Mar 2020 and a record low of 33.000 % in Jun 2011. China Banking Climate Index: Loan Approval data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OF: Banker Survey Report: The People's Bank of China.

  5. o

    Banker Court Cross Street Data in Mount Pleasant, SC

    • ownerly.com
    Updated Dec 8, 2021
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    Ownerly (2021). Banker Court Cross Street Data in Mount Pleasant, SC [Dataset]. https://www.ownerly.com/sc/mount-pleasant/banker-ct-home-details
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    Dataset updated
    Dec 8, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Mount Pleasant, South Carolina, Banker Court
    Description

    This dataset provides information about the number of properties, residents, and average property values for Banker Court cross streets in Mount Pleasant, SC.

  6. C

    China Banking Climate Index: Monetary Policy Sentiment

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). China Banking Climate Index: Monetary Policy Sentiment [Dataset]. https://www.ceicdata.com/en/china/banker-survey-report-the-peoples-bank-of-china/banking-climate-index-monetary-policy-sentiment
    Explore at:
    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Sep 1, 2021 - Jun 1, 2024
    Area covered
    China
    Variables measured
    Business Climate Survey
    Description

    China Banking Climate Index: Monetary Policy Sentiment data was reported at 67.400 % in Jun 2024. This records a decrease from the previous number of 70.100 % for Mar 2024. China Banking Climate Index: Monetary Policy Sentiment data is updated quarterly, averaging 55.500 % from Mar 2004 (Median) to Jun 2024, with 82 observations. The data reached an all-time high of 81.000 % in Mar 2006 and a record low of 31.200 % in Jun 2008. China Banking Climate Index: Monetary Policy Sentiment data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OF: Banker Survey Report: The People's Bank of China.

  7. o

    Banker Street Cross Street Data in Laguna Vista, TX

    • ownerly.com
    Updated Dec 9, 2021
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    Ownerly (2021). Banker Street Cross Street Data in Laguna Vista, TX [Dataset]. https://www.ownerly.com/tx/laguna-vista/banker-st-home-details
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    Dataset updated
    Dec 9, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Laguna Vista, Texas, Banker Street
    Description

    This dataset provides information about the number of properties, residents, and average property values for Banker Street cross streets in Laguna Vista, TX.

  8. o

    Banker Street Cross Street Data in North Branch, MI

    • ownerly.com
    Updated Dec 25, 2021
    + more versions
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    Ownerly (2021). Banker Street Cross Street Data in North Branch, MI [Dataset]. https://www.ownerly.com/mi/north-branch/banker-st-home-details
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    Dataset updated
    Dec 25, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Banker Street, Michigan, North Branch
    Description

    This dataset provides information about the number of properties, residents, and average property values for Banker Street cross streets in North Branch, MI.

  9. a

    Mitigation Bank Service Areas

    • test-open-data-esri-support-fdep.hub.arcgis.com
    • geodata.dep.state.fl.us
    • +1more
    Updated Jun 12, 2014
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    Florida Department of Environmental Protection (2014). Mitigation Bank Service Areas [Dataset]. https://test-open-data-esri-support-fdep.hub.arcgis.com/datasets/mitigation-bank-service-areas
    Explore at:
    Dataset updated
    Jun 12, 2014
    Dataset authored and provided by
    Florida Department of Environmental Protection
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This is a statewide layer representing Mitigation Bank Service Areas identified in Mitigation Bank Permits issued under Ch. 373.4136, Florida Statutes by DEP or a Water Management District. Each Mitigation Bank Permit identifies a geographic area served by the permitted mitigation bank. Mitigation banking is a practice in which an environmental enhancement and preservation project is conducted by a public agency or private entity (banker) to provide mitigation for unavoidable wetland impacts within a defined region (mitigation service area-this data layer). The bank is the site itself, and is represented by the Mitigation Banks data layer, also available in MapDirect. For more information on mitigation banking, go to https://floridadep.gov/water/submerged-lands-environmental-resources-coordination/content/mitigation-and-mitigation-banking.

  10. Overview of private banks and asset managers in Belgium 2018-2019, by AUM

    • statista.com
    Updated May 23, 2022
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    Statista (2022). Overview of private banks and asset managers in Belgium 2018-2019, by AUM [Dataset]. https://www.statista.com/statistics/957270/overview-of-private-banks-and-asset-managers-in-belgium-by-aum/
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    Dataset updated
    May 23, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Belgium
    Description

    In 2019, most private banking assets in Belgium could be found at the four biggest consumer banks of the country: Paribas Fortis, KBC, ING Belgium and Belfius. This is probably due to the relatively low bar set for clients, as investable assets of 250,000 euros or more was enough to participate. Note that this list is different from numbers shown in another ranking on Belgium’s largest asset managers. The overview mentioned here focuses more specifically on private banking and wealth management, instead of the much broader asset management (or vermogensbeheer in Belgian Dutch/gestion d’actifs in French). Private banking and wealth management are generally aimed at clients with a higher portfolio than regular customers or even high-net-worth-individuals (HNWIs).

    Why are some private banks missing from this ranking?

    This ranking came from a survey which requested private banks to supply their financial data for general publication. The source mentions, however, that the private banking sector in Belgium is "hyper competitive" and that especially banks which target HNWIs were reluctant to share data. Swiss banks such as Edmond de Rothschild and Lombard Odier, or French bank CA Indosuez (Crédit Agricole), for example, did not supply any figures, as it is part of their policy to not share customer data. There are financial figures on specific branches from banks on Statista, such as the net profit of the European headquarters of Edmond de Rothschild in Luxembourg. These figures, however, do not mention explicitly the revenue they make in each country they serve.

    From Luxembourg, with interest

    Several of the players active on the Belgian private banking market have their roots outside the country. ABN AMRO (Netherlands) and Deutsche Bank (Germany) are notable examples, but there are also several examples originating from Luxembourg like Puilaetco Dewaay (part of KBL European Private Bankers) and the Belgian branch of Banque de Luxembourg. The Grand Duchy’s private banking sector focuses almost exclusively on HNWIs: in 2018, clients with assets over five million euros made up three-quarters of all private banking AUM in the country. These clients came from all over the world, but for a large part from European countries. In 2018, Belgians (along with French and German clients) were the most common non-domestic customers in the Grand Duchy’s private banking sector.

  11. C

    China Banking Climate Index: Degree of Economy was Overheated

    • ceicdata.com
    Updated Dec 15, 2019
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    CEICdata.com (2019). China Banking Climate Index: Degree of Economy was Overheated [Dataset]. https://www.ceicdata.com/en/china/banker-survey-report-the-peoples-bank-of-china/banking-climate-index-degree-of-economy-was-overheated
    Explore at:
    Dataset updated
    Dec 15, 2019
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Sep 1, 2021 - Jun 1, 2024
    Area covered
    China
    Variables measured
    Business Climate Survey
    Description

    China Banking Climate Index: Degree of Economy was Overheated data was reported at 32.300 % in Jun 2024. This records a decrease from the previous number of 35.400 % for Mar 2024. China Banking Climate Index: Degree of Economy was Overheated data is updated quarterly, averaging 34.400 % from Mar 2009 (Median) to Jun 2024, with 62 observations. The data reached an all-time high of 70.800 % in Dec 2010 and a record low of 6.500 % in Mar 2020. China Banking Climate Index: Degree of Economy was Overheated data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OF: Banker Survey Report: The People's Bank of China.

  12. o

    Banker Street Road Cross Street Data in Centreville, MI

    • ownerly.com
    Updated Jan 14, 2022
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    Ownerly (2022). Banker Street Road Cross Street Data in Centreville, MI [Dataset]. https://www.ownerly.com/mi/centreville/banker-street-rd-home-details
    Explore at:
    Dataset updated
    Jan 14, 2022
    Dataset authored and provided by
    Ownerly
    Area covered
    Banker Street Road, Centreville, Michigan
    Description

    This dataset provides information about the number of properties, residents, and average property values for Banker Street Road cross streets in Centreville, MI.

  13. Banker Saddle Area - Southern Cross, Gravity (P199149), gravity point data

    • ecat.ga.gov.au
    Updated Jul 14, 2018
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    Commonwealth of Australia (Geoscience Australia) (2018). Banker Saddle Area - Southern Cross, Gravity (P199149), gravity point data [Dataset]. https://ecat.ga.gov.au/geonetwork/srv/api/records/5c1ca8c7-5a70-4c35-9b7c-faeafc074aa6
    Explore at:
    www:link-1.0-http--link, www:link-1.0-http--opendapAvailable download formats
    Dataset updated
    Jul 14, 2018
    Dataset provided by
    Geoscience Australiahttp://ga.gov.au/
    Time period covered
    May 4, 1991 - Jul 6, 1991
    Area covered
    Asia
    Description

    Gravity data measures small changes in gravity due to changes in the density of rocks beneath the Earth's surface. The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. This Banker Saddle Area - Southern Cross, Gravity (P199149) contains a total of 176 point data values acquired at a spacing between 500 and 1000 metres. The data is located in WA and were acquired in 1991, under project No. 199149 for University of Western Australia (UWA).

  14. o

    Banker Road Cross Street Data in Morrisonville, NY

    • ownerly.com
    Updated Dec 8, 2021
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    Ownerly (2021). Banker Road Cross Street Data in Morrisonville, NY [Dataset]. https://www.ownerly.com/ny/morrisonville/banker-rd-home-details
    Explore at:
    Dataset updated
    Dec 8, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Banker Road, Morrisonville, New York
    Description

    This dataset provides information about the number of properties, residents, and average property values for Banker Road cross streets in Morrisonville, NY.

  15. o

    Data from: Code for Expectations-Driven Liquidity Traps: Implications for...

    • openicpsr.org
    Updated Feb 24, 2021
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    Taisuke Nakata; Sebastian Schmidt (2021). Code for Expectations-Driven Liquidity Traps: Implications for Monetary and Fiscal Policy [Dataset]. http://doi.org/10.3886/E133182V1
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    Dataset updated
    Feb 24, 2021
    Dataset provided by
    American Economic Association
    Authors
    Taisuke Nakata; Sebastian Schmidt
    License

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

    Description

    Abstract: We study optimal time-consistent monetary and fiscal policy in a New Keynesian model where occasional declines in agents' confidence give rise to persistent liquidity trap episodes. Insights from widely-studied fundamental-driven liquidity traps are not a useful guide for enhancing welfare in this model. Raising the inflation target, appointing an inflation-conservative central banker, or allowing for the use of government spending as an additional stabilization tool can exacerbate deflationary pressures and demand deficiencies during the liquidity trap episodes. However, appointing a policymaker who is sufficiently less concerned with government spending stabilization than society eliminates expectations-driven liquidity traps.

  16. T

    United States MBA Mortgage Applications

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +16more
    csv, excel, json, xml
    Updated Mar 19, 2025
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    TRADING ECONOMICS (2025). United States MBA Mortgage Applications [Dataset]. https://tradingeconomics.com/united-states/mortgage-applications
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    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Mar 19, 2025
    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 12, 1990 - Mar 21, 2025
    Area covered
    United States
    Description

    Mortgage Application in the United States decreased by 2 percent in the week ending March 21 of 2025 over the previous week. This dataset provides - United States MBA Mortgage Applications - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  17. C

    China Banking Climate Index: Loan Demand: Large Enterprise

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). China Banking Climate Index: Loan Demand: Large Enterprise [Dataset]. https://www.ceicdata.com/en/china/banker-survey-report-the-peoples-bank-of-china/banking-climate-index-loan-demand-large-enterprise
    Explore at:
    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Sep 1, 2021 - Jun 1, 2024
    Area covered
    China
    Variables measured
    Business Climate Survey
    Description

    China Banking Climate Index: Loan Demand: Large Enterprise data was reported at 48.900 % in Jun 2024. This records a decrease from the previous number of 60.100 % for Mar 2024. China Banking Climate Index: Loan Demand: Large Enterprise data is updated quarterly, averaging 57.100 % from Mar 2009 (Median) to Jun 2024, with 62 observations. The data reached an all-time high of 73.000 % in Mar 2009 and a record low of 48.900 % in Jun 2024. China Banking Climate Index: Loan Demand: Large Enterprise data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OF: Banker Survey Report: The People's Bank of China.

  18. C

    China CN: Flow of Funds: Use: Undiscounted Banker's Acceptance Bill

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). China CN: Flow of Funds: Use: Undiscounted Banker's Acceptance Bill [Dataset]. https://www.ceicdata.com/en/china/flow-of-funds-accounts-financial-transaction/cn-flow-of-funds-use-undiscounted-bankers-acceptance-bill
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    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, 2008 - Dec 1, 2017
    Area covered
    China
    Variables measured
    Flow of Fund Account
    Description

    China Flow of Funds: Use: Undiscounted Banker's Acceptance Bill data was reported at 1,076.200 RMB bn in 2017. This records an increase from the previous number of -3,906.211 RMB bn for 2016. China Flow of Funds: Use: Undiscounted Banker's Acceptance Bill data is updated yearly, averaging 998.700 RMB bn from Dec 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 4,669.200 RMB bn in 2010 and a record low of -3,906.211 RMB bn in 2016. China Flow of Funds: Use: Undiscounted Banker's Acceptance Bill data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s National Accounts – Table CN.AD: Flow of Funds Accounts: Financial Transaction.

  19. C

    China Yunnan: Aggregate Financing: New Increased: Banker's Acceptance Bill

    • ceicdata.com
    Updated Dec 15, 2020
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    CEICdata.com (2020). China Yunnan: Aggregate Financing: New Increased: Banker's Acceptance Bill [Dataset]. https://www.ceicdata.com/en/china/aggregate-financing-yunnan/yunnan-aggregate-financing-new-increased-bankers-acceptance-bill
    Explore at:
    Dataset updated
    Dec 15, 2020
    Dataset provided by
    CEICdata.com
    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
    China
    Variables measured
    Loans
    Description

    Yunnan: Aggregate Financing: New Increased: Banker's Acceptance Bill data was reported at 0.300 RMB bn in 2024. This records an increase from the previous number of -5.300 RMB bn for 2023. Yunnan: Aggregate Financing: New Increased: Banker's Acceptance Bill data is updated yearly, averaging -10.484 RMB bn from Dec 2013 (Median) to 2024, with 12 observations. The data reached an all-time high of 6.200 RMB bn in 2013 and a record low of -62.800 RMB bn in 2015. Yunnan: Aggregate Financing: New Increased: Banker's Acceptance Bill data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Money and Banking – Table CN.KK: Aggregate Financing: Yunnan.

  20. C

    China CN: Flow of Funds: Financial Institution: Source: Undiscounted...

    • ceicdata.com
    Updated Dec 15, 2024
    + more versions
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    CEICdata.com (2024). China CN: Flow of Funds: Financial Institution: Source: Undiscounted Banker's Acceptance Bill [Dataset]. https://www.ceicdata.com/en/china/flow-of-funds-accounts-financial-transaction-financial-institution/cn-flow-of-funds-financial-institution-source-undiscounted-bankers-acceptance-bill
    Explore at:
    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEICdata.com
    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, 2008 - Dec 1, 2017
    Area covered
    China
    Variables measured
    Flow of Fund Account
    Description

    China Flow of Funds: Financial Institution: Source: Undiscounted Banker's Acceptance Bill data was reported at 538.100 RMB bn in 2017. This records an increase from the previous number of -1,953.106 RMB bn for 2016. China Flow of Funds: Financial Institution: Source: Undiscounted Banker's Acceptance Bill data is updated yearly, averaging 499.350 RMB bn from Dec 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 2,334.600 RMB bn in 2010 and a record low of -1,953.106 RMB bn in 2016. China Flow of Funds: Financial Institution: Source: Undiscounted Banker's Acceptance Bill data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s National Accounts – Table CN.AD: Flow of Funds Accounts: Financial Transaction: Financial Institution.

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CEICdata.com, China Banking Climate Index: Loan Demand: Small & Micro Enterprise [Dataset]. https://www.ceicdata.com/en/china/banker-survey-report-the-peoples-bank-of-china/banking-climate-index-loan-demand-small--micro-enterprise

China Banking Climate Index: Loan Demand: Small & Micro Enterprise

Explore at:
Dataset provided by
CEICdata.com
License

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

Time period covered
Sep 1, 2021 - Jun 1, 2024
Area covered
China
Variables measured
Business Climate Survey
Description

China Banking Climate Index: Loan Demand: Small & Micro Enterprise data was reported at 60.100 % in Jun 2024. This records a decrease from the previous number of 72.000 % for Mar 2024. China Banking Climate Index: Loan Demand: Small & Micro Enterprise data is updated quarterly, averaging 71.750 % from Mar 2009 (Median) to Jun 2024, with 62 observations. The data reached an all-time high of 83.100 % in Sep 2011 and a record low of 55.800 % in Sep 2016. China Banking Climate Index: Loan Demand: Small & Micro Enterprise data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OF: Banker Survey Report: The People's Bank of China.

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