68 datasets found
  1. Global Total Household Financial Assets by Country, 2023

    • reportlinker.com
    Updated Apr 9, 2024
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    ReportLinker (2024). Global Total Household Financial Assets by Country, 2023 [Dataset]. https://www.reportlinker.com/dataset/c9c8e0cee37bd1a122f8017b2e7fc84edec1182f
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    Dataset updated
    Apr 9, 2024
    Dataset provided by
    Reportlinker
    Authors
    ReportLinker
    License

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

    Description

    Global Total Household Financial Assets by Country, 2023 Discover more data with ReportLinker!

  2. k

    Reserve Assets

    • datasource.kapsarc.org
    • data.kapsarc.org
    Updated Aug 1, 2025
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    (2025). Reserve Assets [Dataset]. https://datasource.kapsarc.org/explore/dataset/reserve-assets/
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    Dataset updated
    Aug 1, 2025
    Description

    Explore the dataset on reserve assets including foreign currency and deposits abroad, investment in foreign securities, SDR, and more. Get insights into Saudi Arabia's monetary gold, government sector, IMF reserves, and SAMA monthly data.

    Foreign currency and deposits abroad, Investment in foreign securities, Reserve position in the IMF, SDR, Total reserve assets, Monetary gold, government sector, IMF, Foreign, Currency, Deposits, investment, SAMA Monthly

    Saudi ArabiaFollow data.kapsarc.org for timely data to advance energy economics research..Note from Publisher: Data for June 2021 Represents the end of SAMA's Financial Year (Unaudited Preliminary).

  3. Global Total Pension Funds' Assets by Country, 2023

    • reportlinker.com
    Updated Apr 9, 2024
    + more versions
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    ReportLinker (2024). Global Total Pension Funds' Assets by Country, 2023 [Dataset]. https://www.reportlinker.com/dataset/05d144f2ae2a2d47df200400a89190293647c526
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    Dataset updated
    Apr 9, 2024
    Dataset provided by
    Reportlinker
    Authors
    ReportLinker
    License

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

    Description

    Global Total Pension Funds' Assets by Country, 2023 Discover more data with ReportLinker!

  4. F

    Money Market Funds; Total Financial Assets, Level

    • fred.stlouisfed.org
    json
    Updated Jun 12, 2025
    + more versions
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    (2025). Money Market Funds; Total Financial Assets, Level [Dataset]. https://fred.stlouisfed.org/series/MMMFFAQ027S
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    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 Money Market Funds; Total Financial Assets, Level (MMMFFAQ027S) from Q4 1945 to Q1 2025 about MMMF, IMA, financial, assets, and USA.

  5. k

    Balance Sheet of Saudi Central Bank- Assets

    • data.kapsarc.org
    • datasource.kapsarc.org
    Updated Jul 1, 2025
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    (2025). Balance Sheet of Saudi Central Bank- Assets [Dataset]. https://data.kapsarc.org/explore/dataset/balance-sheet-of-sama-assets/?flg=ar-001
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    Dataset updated
    Jul 1, 2025
    Area covered
    Saudi Arabia
    Description

    Explore the balance sheet of SAMA assets dataset to track quarterly and monthly changes in investments, cash cover, and other miscellaneous assets in Saudi Arabia. Find detailed information on Investment in Foreign Securities, Cash Cover : Gold, Cash Cover : Foreign Currencies, Cash in Vault, Deposits with Banks Abroad, and Total assets.

    Quarterly, Investment in Foreign Securities, Cash Cover : Gold, Total, Monthly, Annually, Cash Cover : Foreign Currencies, Cash in Vault, Deposits with Banks Abroad, Other Miscellaneous Assets, balance sheet, Assets, SAMA Monthly

    Saudi Arabia Follow data.kapsarc.org for timely data to advance energy economics research..

  6. f

    Normality test.

    • figshare.com
    xls
    Updated Apr 3, 2024
    + more versions
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    Lujing Liu; Xiaoning Zhou; Jian Xu (2024). Normality test. [Dataset]. http://doi.org/10.1371/journal.pone.0300217.t003
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    xlsAvailable download formats
    Dataset updated
    Apr 3, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Lujing Liu; Xiaoning Zhou; Jian Xu
    License

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

    Description

    The objective of this study is to explore the impact of working capital management on firms’ financial performance in China’s agri-food sector from 2006 to 2021. In addition, we analyze whether this impact is the same during the 2008 financial crisis and the 2020 COVID-19 crisis. Working capital management is measured by working capital investment policy (measured by current assets to total assets ratio), working capital financing policy (measured by current liabilities to total assets ratio), cash conversion cycle, and net working capital ratio. The results reveal that current assets to total assets ratio and net working capital ratio positively influence financial performance measured through return on assets (ROA), while current liabilities to total assets ratio and cash conversion cycle negatively influence ROA. We also find that the relationship between working capital management and financial performance is more affected during COVID-19 than in the 2008 financial crisis. The findings might provide important implications for company managers to make optimal working capital management practices, depending on the economic environment.

  7. F

    Total Assets, All Commercial Banks

    • fred.stlouisfed.org
    json
    Updated Jul 25, 2025
    + more versions
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    (2025). Total Assets, All Commercial Banks [Dataset]. https://fred.stlouisfed.org/series/TLAACBW027SBOG
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    jsonAvailable download formats
    Dataset updated
    Jul 25, 2025
    License

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

    Description

    Graph and download economic data for Total Assets, All Commercial Banks (TLAACBW027SBOG) from 1973-01-03 to 2025-07-16 about assets, banks, depository institutions, and USA.

  8. m

    SAP SE - Total-Asset-Turnover

    • macro-rankings.com
    csv, excel
    Updated Jul 31, 2025
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    macro-rankings (2025). SAP SE - Total-Asset-Turnover [Dataset]. https://www.macro-rankings.com/Markets/Stocks?Entity=SAP.F&Item=Total-Asset-Turnover
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    excel, csvAvailable download formats
    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    germany
    Description

    Total-Asset-Turnover Time Series for SAP SE. SAP SE, together with its subsidiaries, provides enterprise application and business solutions worldwide. It offers SAP S/4HANA that provides software capabilities for finance, risk and project management, procurement, manufacturing, supply chain and asset management, and research and development; SAP SuccessFactors solutions for human resources, including HR, time, payroll, talent and employee experience management, and analytics and planning; and spend management solutions that covers direct and indirect spend, travel and expense, and external workforce management. The company also provides SAP customer experience solutions; SAP Business Technology platform that enables customers and partners to build, integrate, and automate applications; and SAP Business Network, a business-to-business collaboration platform that helps digitalize key business processes across the supply chain and enables communication between trading partners. In addition, it offers SAP Signavio to help customers to discover, analyze, and understand their business process operations; industry solutions that provides customers and partners with industry-specific solutions; and SAP LeanIX to visualize their as-is enterprise architecture, assess interdependencies and the potential impact of IT modernization, and manage the transition toward the target landscape with established practices and a detailed roadmap. Further, the company provides WalkMe to execute workflows across various number of applications; SAP Enable Now, which offers e-learning content embedded in SAP workflows; Taulia solutions for working capital management to help businesses create and deliver the right cash flow strategy, and the flexibility to adjust it to meet liquidity challenges; and sustainability solutions and services. Additionally, it provides services and support solutions. SAP SE was founded in 1972 and is headquartered in Walldorf, Germany.

  9. k

    Investment Funds

    • datasource.kapsarc.org
    Updated Aug 1, 2025
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    (2025). Investment Funds [Dataset]. https://datasource.kapsarc.org/explore/dataset/investment-funds/
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    Dataset updated
    Aug 1, 2025
    Description

    Explore the Investment Funds dataset providing information on Total Assets, No. of Subscribers, Foreign and Domestic Assets in Million Riyals, and more. Updated quarterly by SAMA, this dataset offers valuable insights into the banking and money market in Saudi Arabia.

    Total Assets of Funds in Million Riyals, No. of Subscribers, Annually, Foreign Assets in Million Riyals, No. of Operating Funds, Quarterly, Domestic Assets in Million Riyals, Bank, Money, Assets, Foreign, Fund, SAMA Quarterly

    Saudi ArabiaFollow data.kapsarc.org for timely data to advance energy economics research..Important notes:Note: As of 2006, the source of data is the Capital Market Authority (CMA).

  10. G

    Local credit unions statements of estimated assets, liabilities and members'...

    • open.canada.ca
    • data.urbandatacentre.ca
    • +1more
    csv, html, xml
    Updated Jan 17, 2023
    + more versions
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    Statistics Canada (2023). Local credit unions statements of estimated assets, liabilities and members' equities [Dataset]. https://open.canada.ca/data/en/dataset/ad1481b5-d2c8-4df8-b62a-95853a47cda8
    Explore at:
    csv, html, xmlAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canada
    License

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

    Description

    This table contains 73 series, with data for years 1970 - 1990 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Assets, liabilities and members' equities (73 items: Total assets;Cash and demand deposits;On hand;Demand deposits; ...).

  11. Forecast: Total Private Pension Assets in the US 2023 - 2027

    • reportlinker.com
    Updated Apr 7, 2024
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    ReportLinker (2024). Forecast: Total Private Pension Assets in the US 2023 - 2027 [Dataset]. https://www.reportlinker.com/dataset/6c5eb1b7ed3e9d70ffbca794e2a7433b6c48db17
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    Dataset updated
    Apr 7, 2024
    Dataset provided by
    Reportlinker
    Authors
    ReportLinker
    License

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

    Area covered
    United States
    Description

    Forecast: Total Private Pension Assets in the US 2023 - 2027 Discover more data with ReportLinker!

  12. Forecast: Total Private Pension Assets in Mexico 2023 - 2027

    • reportlinker.com
    Updated Apr 7, 2024
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    ReportLinker (2024). Forecast: Total Private Pension Assets in Mexico 2023 - 2027 [Dataset]. https://www.reportlinker.com/dataset/51124105840413a8370fc380e7f2213fd0d24710
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    Dataset updated
    Apr 7, 2024
    Dataset provided by
    Reportlinker
    Authors
    ReportLinker
    License

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

    Area covered
    Mexico
    Description

    Forecast: Total Private Pension Assets in Mexico 2023 - 2027 Discover more data with ReportLinker!

  13. China CN: Geologic Explore & Seismic Instru Mfg: Total Asset

    • ceicdata.com
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    CEICdata.com, China CN: Geologic Explore & Seismic Instru Mfg: Total Asset [Dataset]. https://www.ceicdata.com/en/china/electronic-mfg-electronic-measurement-instrument-monthly-geologic-explore--seismic/cn-geologic-explore--seismic-instru-mfg-total-asset
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    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
    Nov 1, 2009 - Dec 1, 2019
    Area covered
    China
    Variables measured
    Economic Activity
    Description

    China Geologic Explore & Seismic Instru Mfg: Total Asset data was reported at 9,210.000 RMB mn in Dec 2019. This records a decrease from the previous number of 10,560.000 RMB mn for Dec 2018. China Geologic Explore & Seismic Instru Mfg: Total Asset data is updated monthly, averaging 2,374.930 RMB mn from Jan 2003 (Median) to Dec 2019, with 76 observations. The data reached an all-time high of 17,910.400 RMB mn in Dec 2015 and a record low of 1,698.320 RMB mn in Jul 2005. China Geologic Explore & Seismic Instru Mfg: Total Asset data remains active status in CEIC and is reported by Ministry of Industry and Information Technology. The data is categorized under Global Database’s China – Table CN.RFH: Electronic Mfg: Electronic Measurement Instrument: Monthly: Geologic Explore & Seismic.

  14. Forecast: Total Private Pension Assets in Brazil 2023 - 2027

    • reportlinker.com
    Updated Apr 8, 2024
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    ReportLinker (2024). Forecast: Total Private Pension Assets in Brazil 2023 - 2027 [Dataset]. https://www.reportlinker.com/dataset/b2039da5fe861f4cd6230f48339937914f1252b6
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    Dataset updated
    Apr 8, 2024
    Dataset provided by
    Reportlinker
    Authors
    ReportLinker
    License

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

    Area covered
    Brazil
    Description

    Forecast: Total Private Pension Assets in Brazil 2023 - 2027 Discover more data with ReportLinker!

  15. k

    Purchases of Fixed Assets by Type and Economic Activity

    • datasource.kapsarc.org
    • kapsarc.opendatasoft.com
    Updated Mar 14, 2024
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    (2024). Purchases of Fixed Assets by Type and Economic Activity [Dataset]. https://datasource.kapsarc.org/explore/dataset/purchases-of-fixed-assets-by-type-and-economic-activity/
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    Dataset updated
    Mar 14, 2024
    Description

    Explore the dataset on purchases of fixed assets by type and economic activity in Saudi Arabia. Gain insights into various industries and sectors such as manufacturing, healthcare, financial services, and more.

    Other manufacturing, Remediation activities and other waste management services, Industry of paper and its products, Health and social work, Extraction of crude petroleum and natural gas, Social work activities without accommodation, Manufacture of food prod. and beverages, Manufacture of textiles, Financial intermediation, Motion picture, video & tv programme production, sound recording, Scientific research and development, Hotels and restaurants, Other personal service activities, Retail trade, except of motor vehicles and motorcycles, Information service activities, Manufacturing of apparel, preparing & tanning fur, Food and beverage service activities, Manufacture of food products, Manufacture of leather and related products, Repair and installation of machinery and equipment, Programming and broadcasting activities, Other mining and quarrying, Education, Manufacture of office, accounting and computing machinery, Creative, arts and entertainment activities, Insurance and pension funding, except compulsory social security, Construction, Sports activities and amusement and recreation activities, Printing and reproduction of recorded media, Travel agency, tour operator, reservation service & related activities, Computer programming, consultancy and related activities, Repair of computers and personal and household goods, Agriculture and hunting and related service activities, Manufacture of furniture, Activities auxiliary to financial intermediation, Fishing and aquaculture, Mining of coal and lignite, Manufacture of electrical machinery and apparatus, Advertising and market research, Printing & Publishing, Manufacture of radio, television and communication equipment and apparatus, Activities of head offices; management consultancy activities, Activities for mining and quarrying, Rental and leasing activities, Services to buildings and landscape activities, Office administrative, office support & other business support act's, Forestry and logging, Manufacture of other non-metallic mineral products, Air transport, Manufacture of furniture; manufacturing, Mining support service activities, Accommodation, Crop and animal production, hunting and related service activities, Post and telecommunications, Water collection, treatment and supply, Manufacture of machinery and equipment n.e.c., Land transport and transport via pipelines, Manufacture of medical, precision and optical instruments, watches and clocks, Manufacture of beverages, Activities of membership organizations n.e.c., Manufacture of non-metallic mineral products, Water transport, Wholesale trade, except of motor vehicles and motorcycles, Manufacture of products and preparations pharmaceutical, Wholesale & retail trade and repair of motor vehicles & motorcycles, Land transport; transport via pipelines, Manufacture of wood and of products of wood and cork, Real estate activities, Activities of membership organizations, Warehousing and support activities for transportation, Manufacture of wearing apparel, Legal and accounting activities, Manufacture of electrical equipment, Financial service activities, except insurance and pension funding, Architectural and engineering activities; technical testing & analysis, Manufacture of fabricated metal products, Manufacture of coke and refined petroleum products, Tanning and dressing of leather; manufacture of luggage and footwear, Retail trade and repair of personal and household goods, Supporting and auxiliary transport activities; activities of travel agencies, Sewerage, Activities, business services, Exploration of oil and natural gas, Publishing activities, Specialized construction activities, Insurance, reinsurance and pension funding, Employment activities, Manufacture of motor vehicles, trailers and semi-trailers, Construction of buildings, Libraries, archives, museums and other cultural activities, Mining of metal ores, Electricity, gas, steam and air conditioning supply, Wholesale trade and commission trade, service activities, Recycling, Manufacture of basic metals, Activities auxiliary to financial service and insurance activities, Recreational, cultural and sporting activities, Waste collection, treatment & disposal activities; materials recovery, Manufacture of computer, electronic and optical products, Veterinary activities, Fishing, Manufacture of tobacco products, Manufacture of machinery and equipment, Manufacture of paper and paper products, Security and investigation activities, Postal and courier activities, Residential care activities, Civil engineering, Computer and related activities, Human health activities, Total, Products of refined petroleum, Manufacture of chemicals , Articles and products, Sale, maintenance and repair of motor vehicles and motorcycles; retail sale of automotive fuel, Renting of machinery and equipment without operator and of personal and household goods, Manufacture of chemicals and chemical products, Telecommunications, Manufacture of other transport equipment, Collection, purification and distribution of water, Sewage and refuse disposal and sanitation, Electricity, gas and steam, Other professional, scientific and technical activities, Manufacture of rubber and plastics products, Research and development, Labor, Annual Economic Establishment Survey, Manufacturing

    Saudi ArabiaFollow data.kapsarc.org for timely data to advance energy economics research..Data from the Annual Economic Establishment Survey.Do not include establishments operating in the governmental and external sectors. Including establishments operating in the private and public sector and not for profit.

  16. Chartered banks, assets and liabilities, month-end, Bank of Canada (x...

    • www150.statcan.gc.ca
    Updated Jul 21, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Chartered banks, assets and liabilities, month-end, Bank of Canada (x 1,000,000) [Dataset]. http://doi.org/10.25318/1010010901-eng
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    Dataset updated
    Jul 21, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

    This table contains 110 series, with data starting from 1946 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Assets and liabilities (110 items: Total assets; Total; Canadian dollar assets; Total of foregoing assets; Total; foreign currency assets ...).

  17. d

    Asset database for the Galilee subregion on 04 January 2016 Public

    • data.gov.au
    • cloud.csiss.gmu.edu
    • +2more
    zip
    Updated Apr 13, 2022
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    Bioregional Assessment Program (2022). Asset database for the Galilee subregion on 04 January 2016 Public [Dataset]. https://data.gov.au/data/dataset/groups/eb4cf797-9b8f-4dff-9d7a-a5dfbc8d2bed
    Explore at:
    zip(1135189370)Available download formats
    Dataset updated
    Apr 13, 2022
    Dataset authored and provided by
    Bioregional Assessment Program
    Description

    Abstract

    This data set holds the publicly-available version of the database of water-dependent assets that was compiled for the bioregional assessment (BA) of the Galilee subregion as part of the Bioregional Assessment Technical Programme. Though all life is dependent on water, for the purposes of a bioregional assessment, a water-dependent asset is an asset potentially impacted by changes in the groundwater and/or surface water regime due to coal resource development. The water must be other than local rainfall. Examples include wetlands, rivers, bores and groundwater dependent ecosystems.

    The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets including Natural Resource Management regions, and Australian and state and territory government databases. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived. A single asset is represented spatially in the asset database by single or multiple spatial features (point, line or polygon). Individual points, lines or polygons are termed elements.

    This dataset contains the unrestricted publicly-available components of spatial and non-spatial (attribute) data of the (restricted) Asset database for the Galilee subregion on 04 January 2016 (12ff5782-a3d9-40e8-987c-520d5fa366dd);. The database is provided primarily as an ESRI File geodatabase (.gdb), which is able to be opened in readily available open source software such as QGIS. Other formats include the Microsoft Access database (.mdb in ESRI Personal Geodatabase format), industry-standard ESRI Shapefiles and tab-delimited text files of all the attribute tables.

    The restricted version of the Galilee Asset database has a total count of 403 918 Elements and 4 426 Assets. In the public version of the Asset GalileeGalilee database 13759 spatial Element features (~3%) have been removed from the Element List and Element Layer(s) and 352 spatial Assets (~8%) have been removed from the spatial Asset Layer(s)

    The elements/assets removed from the restricted Asset Database are from the following data sources:

    1) Environmental Asset Database - Commonwealth Environmental Water Office - RESTRICTED (Metadata only) (29fd1654-8aa1-4cb3-b65e-0b37698ac9a6)

    2) Key Environmental Assets - KEA - of the Murray Darling Basin RESTRICTED (Metadata only) (9948195e-3d3b-49dc-96d2-ea7765297308)

    3) Species Profile and Threats Database (SPRAT) - RESTRICTED - Metadata only) (7276dd93-cc8c-4c01-8df0-cef743c72112)

    4) Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) (Internal 878f6780-be97-469b-8517-54bd12a407d0)

    5) Communities of National Environmental Significance Database - RESTRICTED - Metadata only (c01c4693-0a51-4dbc-bbbd-7a07952aa5f6)

    These important assets are included in the bioregional assessment, but are unable to be publicly distributed by the Bioregional Assessment Programme due to restrictions in their licensing conditions. Please note that many of these data sets are available directly from their custodian. For more precise details please see the associated explanatory Data Dictionary document enclosed with this dataset.

    Dataset History

    The public version of the asset database retains all of the unrestricted components of the Asset database for the Galilee subregion on 04 January 2016 - any material that is unable to be published or redistributed to a third party by the BA Programme has been removed from the database. The data presented corresponds to the assets published Cooper subregion product 1.3: Description of the water-dependent asset register and asset list for the Galilee subregion on 04 January 2016, and the associated Water-dependent asset register and asset list for the Galilee subregion on 04 January 2016.

    Individual spatial features or elements are initially included in database if they are partly or wholly within the subregion's preliminary assessment extent (Materiality Test 1, M1). In accordance to BA submethodology M02: Compiling water-dependent assets, individual spatial elements are then grouped into assets which are evaluated by project teams to determine whether they meet materiality test 2 (M2), which are assets that are considered to be water dependent.

    Following delivery of the first pass asset list, project teams make a determination as to whether an asset (comprised of one or more elements) is water dependent, as assessed against the materiality tests detailed in the BA Methodology. These decisions are provided to ERIN by the assessment team and incorporated into the AssetList table in the Asset database.

    Development of the Asset Register from the Asset database:

    Decisions for M0 (fit for BA purpose), M1 (PAE) and M2 (water dependent) determine which assets are included in the "asset list" and "water-dependent asset register" which are published as Product 1.3.

    The rule sets are applied as follows:

    M0 M1 M2 Result

    No n/a n/a Asset is not included in the asset list or the water-dependent asset register

    (≠ No) No n/a Asset is not included in the asset list or the water-dependent asset register

    (≠ No) Yes No Asset included in published asset list but not in water dependent asset register

    (≠ No) Yes Yes Asset included in both asset list and water-dependent asset register

    Assessment teams are then able to use the database to assign receptors and impact variables to water-dependent assets and the development of a receptor register as detailed in BA submethodology M03: Assigning receptors to water-dependent assets and the receptor register is then incorporated into the asset database.

    At this stage of its development, the for the Galilee subregion on 04 January 2016, which this document describes, does not contain any receptor information.

    Dataset Citation

    Bioregional Assessment Programme (2013) Asset database for the Galilee subregion on 04 January 2016 Public. Bioregional Assessment Derived Dataset. Viewed 10 December 2018, http://data.bioregionalassessments.gov.au/dataset/eb4cf797-9b8f-4dff-9d7a-a5dfbc8d2bed.

    Dataset Ancestors

  18. r

    Asset database for the Hunter subregion on 24 February 2016 Public 20170112...

    • researchdata.edu.au
    • cloud.csiss.gmu.edu
    • +2more
    Updated Mar 20, 2017
    + more versions
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    Bioregional Assessment Program (2017). Asset database for the Hunter subregion on 24 February 2016 Public 20170112 v02 [Dataset]. https://researchdata.edu.au/asset-database-hunter-20170112-v02/2993836
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    Dataset updated
    Mar 20, 2017
    Dataset provided by
    data.gov.au
    Authors
    Bioregional Assessment Program
    License

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

    Description

    Abstract

    The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets including Natural Resource Management regions, and Australian and state and territory government databases. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived. A single asset is represented spatially in the asset database by single or multiple spatial features (point, line or polygon). Individual points, lines or polygons are termed elements.

    This data set holds the publicly-available version of the database of water-dependent assets that was compiled for the bioregional assessment (BA) of the Hunter subregion as part of the Bioregional Assessment Technical Programme. Though all life is dependent on water, for the purposes of a bioregional assessment, a water-dependent asset is an asset potentially impacted by changes in the groundwater and/or surface water regime due to coal resource development. The water must be other than local rainfall. Examples include wetlands, rivers, bores and groundwater dependent ecosystems.

    This dataset contains the unrestricted publicly-available components of spatial and non-spatial (attribute) data of the (restricted) Asset database for the Hunter subregion on 24 February 2016 (a39290ac-3925-4abc-9ecb-b91e911f008f). The database is provided primarily as an ESRI File geodatabase (.gdb), which is able to be opened in readily available open source software such as QGIS. Other formats include the Microsoft Access database (.mdb in ESRI Personal Geodatabase format), industry-standard ESRI Shapefiles and tab-delimited text files of all the attribute tables.

    The restricted version of the Hunter Asset database has a total count of 182 277 Elements (and 2 545 Assets). In the public version of the Asset Hunter database 69 330 spatial Element features (\~38%) have been removed from the Element List and Element Layer(s) and 1124 spatial Assets (\~44%) have been removed from the spatial Asset Layer(s)

    The elements/assets removed from the restricted Asset Database are from the following data sources:

    1) Species Profile and Threats Database (SPRAT) - RESTRICTED - Metadata only) (7276dd93-cc8c-4c01-8df0-cef743c72112)

    2) Threatened migratory shorebird habitat mapping DECCW May 2006 (cc0b62a0-ded7-4c14-b954-1552337b395e)

    2) Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) (878f6780-be97-469b-8517-54bd12a407d0)

    3) Communities of National Environmental Significance Database - RESTRICTED - Metadata only (c01c4693-0a51-4dbc-bbbd-7a07952aa5f6)

    4) Hunter CMA GDEs (DPI pre-release) - RESTRICTED - Metadata only (469d6d2e-900f-47a7-a137-946b89b3d188)

    These important assets are included in the bioregional assessment, but are unable to be publicly distributed by the Bioregional Assessment Programme due to restrictions in their licensing conditions. Please note that many of these data sets are available directly from their custodian. For more precise details please see the associated explanatory Data Dictionary document enclosed with this dataset.

    Purpose

    The data are for any external party that wants to access the asset database used for the assessment. The BATP is required to release these wherever possible, to comply with the requirements of transparency and repeatability.

    Dataset History

    The public version of the asset database retains all of the unrestricted components of the Asset database for the Hunter subregion on 24 February 2016 - any material that is unable to be published or redistributed to a third party by the BA Programme has been removed from the database. The data presented corresponds to the assets published in product 1.3: Description of the water-dependent asset register and asset list for the Hunter subregion on 24 February 2016, and the associated Water-dependent asset register and asset list for the Hunter subregion on 24 February 2016.

    Individual spatial features or elements are initially included in database if they are partly or wholly within the subregion's preliminary assessment extent (Materiality Test 1, M1). In accordance to BA submethodology M02: Compiling water-dependent assets, individual spatial elements are then grouped into assets which are evaluated by project teams to determine whether they meet materiality test 2 (M2), which are assets that are considered to be water dependent.

    Following delivery of the first pass asset list, project teams make a determination as to whether an asset (comprised of one or more elements) is water dependent, as assessed against the materiality tests detailed in the BA Methodology. These decisions are provided to ERIN by the assessment team and incorporated into the AssetList table in the Asset database.

    Development of the Asset Register from the Asset database:

    Decisions for M0 (fit for BA purpose), M1 (PAE) and M2 (water dependent) determine which assets are included in the "asset list" and "water-dependent asset register" which are published as Product 1.3.

    The rule sets are applied as follows:

    M0\tM1\tM2\tResult

    No\tn/a\tn/a\tAsset is not included in the asset list or the water-dependent asset register

    (≠ No)\tNo\tn/a\tAsset is not included in the asset list or the water-dependent asset register

    (≠ No)\tYes\tNo\tAsset included in published asset list but not in water dependent asset register

    (≠ No)\tYes\tYes\tAsset included in both asset list and water-dependent asset register

    Assessment teams are then able to use the database to assign receptors and impact variables to water-dependent assets and the development of a receptor register as detailed in BA submethodology M03: Assigning receptors to water-dependent assets and the receptor register is then incorporated into the asset database.

    At this stage of its development, the Asset database for the Hunter subregion on 24 February 2016, which this document describes, does not contain receptor information.

    Dataset Citation

    Bioregional Assessment Programme (2015) Asset database for the Hunter subregion on 24 February 2016 Public 20170112 v02. Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/9d16592c-543b-42d9-a1f4-0f6d70b9ffe7.

    Dataset Ancestors

  19. W

    Asset database for the Clarence-Moreton bioregion on 24 February 2016 Public...

    • cloud.csiss.gmu.edu
    • researchdata.edu.au
    • +2more
    zip
    Updated Dec 13, 2019
    + more versions
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    Australia (2019). Asset database for the Clarence-Moreton bioregion on 24 February 2016 Public [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/ba1d4c6f-e657-4e42-bd3c-413c21c7b735
    Explore at:
    zipAvailable download formats
    Dataset updated
    Dec 13, 2019
    Dataset provided by
    Australia
    Description

    Abstract

    The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets including Natural Resource Management regions, and Australian and state and territory government databases. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived.

    This data set holds the publicly-available version of the database of water-dependent assets that was compiled for the bioregional assessment (BA) of the Clarence-Moreton subregion as part of the Bioregional Assessment Technical Programme. Though all life is dependent on water, for the purposes of a bioregional assessment, a water-dependent asset is an asset potentially impacted by changes in the groundwater and/or surface water regime due to coal resource development. The water must be other than local rainfall. Examples include wetlands, rivers, bores and groundwater dependent ecosystems.

    A single asset is represented spatially in the asset database by single or multiple spatial features (point, line or polygon). Individual points, lines or polygons are termed elements.

    This dataset contains the unrestricted publicly-available components of spatial and non-spatial (attribute) data of the (restricted) Asset database for the Clarence-Moreton bioregion on 24 February 2016 (6d11ffbc-ea57-49cb-8e00-f97761e0c5d6). The database is provided primarily as an ESRI File geodatabase (.gdb), which is able to be opened in readily available open source software such as QGIS. Other formats include the Microsoft Access database (.mdb in ESRI Personal Geodatabase format), industry-standard ESRI Shapefiles and tab-delimited text files of all the attribute tables.

    The restricted version of the Clarence-Moreton Asset database has a total count of 294961 Elements and 2708 Assets. In the public version of the Asset Clarence-Moreton database 60074 spatial Element features (~19%) have been removed from the Element List and Element Layer(s) and 729 spatial Assets (~24%) have been removed from the spatial Asset Layer(s)

    The elements/assets removed from the restricted Asset Database are from the following data sources:

    1) Species Profile and Threats Database (SPRAT) - RESTRICTED - Metadata only) (7276dd93-cc8c-4c01-8df0-cef743c72112)

    2) Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) (Internal 878f6780-be97-469b-8517-54bd12a407d0)

    3) Communities of National Environmental Significance Database - RESTRICTED - Metadata only (c01c4693-0a51-4dbc-bbbd-7a07952aa5f6)

    These important assets are included in the bioregional assessment, but are unable to be publicly distributed by the Bioregional Assessment Programme due to restrictions in their licensing conditions. Please note that many of these data sets are available directly from their custodian. For more precise details please see the associated explanatory Data Dictionary document enclosed with this dataset.

    Dataset History

    The public version of the asset database retains all of the unrestricted components of the Asset database for the Clarence-Moreton bioregion on 24 February 2016 - any material that is unable to be published or redistributed to a third party by the BA Programme has been removed from the database. The data presented corresponds to the assets published Clarence-Moreton bioregion product 1.3: Description of the water-dependent asset register and asset list for the Clarence-Moreton bioregion on 24 February 2016 , and the associated Water-dependent asset register and asset list for the Clarence-Moreton bioregion on 24 February 2016 .

    Individual spatial features or elements are initially included in database if they are partly or wholly within the subregion's preliminary assessment extent (Materiality Test 1, M1). In accordance to BA submethodology M02: Compiling water-dependent assets, individual spatial elements are then grouped into assets which are evaluated by project teams to determine whether they meet materiality test 2 (M2), which are assets that are considered to be water dependent.

    Following delivery of the first pass asset list, project teams make a determination as to whether an asset (comprised of one or more elements) is water dependent, as assessed against the materiality tests detailed in the BA Methodology. These decisions are provided to ERIN by the assessment team and incorporated into the AssetList table in the Asset database.

    Development of the Asset Register from the Asset database:

    Decisions for M0 (fit for BA purpose), M1 (PAE) and M2 (water dependent) determine which assets are included in the "asset list" and "water-dependent asset register" which are published as Product 1.3.

    The rule sets are applied as follows:

    M0 M1 M2 Result

    No n/a n/a Asset is not included in the asset list or the water-dependent asset register

    (≠ No) No n/a Asset is not included in the asset list or the water-dependent asset register

    (≠ No) Yes No Asset included in published asset list but not in water dependent asset register

    (≠ No) Yes Yes Asset included in both asset list and water-dependent asset register

    Assessment teams are then able to use the database to assign receptors and impact variables to water-dependent assets and the development of a receptor register as detailed in BA submethodology M03: Assigning receptors to water-dependent assets and the receptor register is then incorporated into the asset database.

    At this stage of its development, the Asset database for the Clarence-Moreton bioregion on 24 February 2016, which this document describes, does contain receptor information, and the receptor information was removed from this public version.

    Dataset Citation

    Bioregional Assessment Programme (2014) Asset database for the Clarence-Moreton bioregion on 24 February 2016 Public. Bioregional Assessment Derived Dataset. Viewed 10 July 2017, http://data.bioregionalassessments.gov.au/dataset/ba1d4c6f-e657-4e42-bd3c-413c21c7b735.

    Dataset Ancestors

  20. Forecast: Total Private Pension Assets in Italy 2023 - 2027

    • reportlinker.com
    Updated Apr 7, 2024
    + more versions
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    ReportLinker (2024). Forecast: Total Private Pension Assets in Italy 2023 - 2027 [Dataset]. https://www.reportlinker.com/dataset/8b59989c5c40af3884a25518e4759b8933d1e7a1
    Explore at:
    Dataset updated
    Apr 7, 2024
    Dataset provided by
    Reportlinker
    Authors
    ReportLinker
    License

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

    Area covered
    Italy
    Description

    Forecast: Total Private Pension Assets in Italy 2023 - 2027 Discover more data with ReportLinker!

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ReportLinker (2024). Global Total Household Financial Assets by Country, 2023 [Dataset]. https://www.reportlinker.com/dataset/c9c8e0cee37bd1a122f8017b2e7fc84edec1182f
Organization logo

Global Total Household Financial Assets by Country, 2023

Explore at:
Dataset updated
Apr 9, 2024
Dataset provided by
Reportlinker
Authors
ReportLinker
License

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

Description

Global Total Household Financial Assets by Country, 2023 Discover more data with ReportLinker!

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