4 datasets found
  1. a

    SACS Census Blocks

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Nov 29, 2021
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    South Atlantic Coastal Study (2021). SACS Census Blocks [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/SACS::sacs-census-blocks/explore
    Explore at:
    Dataset updated
    Nov 29, 2021
    Dataset authored and provided by
    South Atlantic Coastal Study
    Area covered
    Description

    The SACS Tier 2 Economics Risk Assessment is an estimate of storm surge inundation risk to public and private property within the South Atlantic Division (SAD) area of responsibility (AOR). This includes all coastal and riverine areas within the zone of tidal influence in North Carolina (NC), South Carolina (SC), Georgia (GA), Florida (FL), Alabama (AL), Puerto Rico (PR), and the US Virgin Islands (VI). The risk is expressed as the expected annual damages (EAD) to structures and their contents described in dollars. Risks are described as a range between the EAD under existing sea level conditions (low) and the EAD assuming up to 3 ft of future sea level change (high) for the continental U.S. and 2.33 ft of sea level rise for Puerto Rico and the U.S. Virgin Islands. The EADs are presented in a geospatial format at the census block level. These results are initially aggregated to the census block level. Additional SACS Geospatial Data aggregates these values to the Place, County, and State/Territory. The primary use of this risk assessment is to help inform coastal storm risk management (CSRM) decisions regarding the relative distribution of economic risk over space. Other uses include trying to understand the rough order of magnitude range of economic risks associated with a CSRM problem or the achievable risk management from a CSRM measure or solution.The primary dimension of economic risk considered in this effort is storm surge (inundation) risk to infrastructure, public and private property. Damages are presented as consequences of annual exceedance probability (AEP) events and risks are presented as the expected annual damages for the series of storms. Damage values are reflective of structure and content depreciated losses expressed in 2018 price levels. The SACS Tier-II Economic Risk Assessment consists of surge damages to structure and content depreciated values by census block. The risk for CONUS areas was estimated using the FEMA flood loss mitigation model Hazus. Due to Hazus limitations, the FEMA FAST model was used to estimate storm surge risk for the OCONUS areas. Hazus (Hazus) is a multi-hazard loss estimation methodology developed by the Federal Emergency Management Agency (FEMA) for use by federal, state, region, local governments, and private enterprises in planning for risk mitigation, emergency preparedness, response, and recovery. Hazus uses Geographic Information Systems (GIS) technology to estimate physical, economic, and social impact of disasters. To assess potential impacts of coastal flooding as part of the South Atlantic Coastal Study (SACS) the Hazus Flood Model was applied. The analysis included only coastal flooding and omitted any riverine and precipitation contributions to flood water elevations. The Hazus methodology can be applied at any of three levels of analysis: (1) Level 1 – Relies on the extensive national databases embedded in the model. Applies default hazards, inventories, and damage functions. (2) Level 2 – Combines user specified local hazard, inventory, and damage functions with default databases. (3) Level 3 – Involves extensive user specified local hazard and inventory data as well as detailed engineering data. As the level of analysis increases, the level of effort and data sophistication also increases which the level of uncertainty decreases. Given the extent of the AOR a Level 1 analysis was applied.For additional information and detailed methodology on the HAZUS and FAST model inputs, please reference the Tier 2 Economic Risk Assessment Technical report located at the following link: https://www.sad.usace.army.mil/SACS/

  2. S

    South Korea KR: Foreign Direct Investment Financial Flows: Outward: USD:...

    • ceicdata.com
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    CEICdata.com, South Korea KR: Foreign Direct Investment Financial Flows: Outward: USD: Total: US Virgin Islands [Dataset]. https://www.ceicdata.com/en/korea/foreign-direct-investment-financial-flows-usd-by-region-and-country-oecd-member-annual/kr-foreign-direct-investment-financial-flows-outward-usd-total-us-virgin-islands
    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
    Dec 1, 2013 - Dec 1, 2018
    Area covered
    South Korea
    Description

    South Korea Foreign Direct Investment Financial Flows: Outward: USD: Total: US Virgin Islands data was reported at 0.000 USD mn in 2018. This stayed constant from the previous number of 0.000 USD mn for 2017. South Korea Foreign Direct Investment Financial Flows: Outward: USD: Total: US Virgin Islands data is updated yearly, averaging 0.000 USD mn from Dec 2013 to 2018, with 4 observations. The data reached an all-time high of 0.000 USD mn in 2018 and a record low of 0.000 USD mn in 2018. South Korea Foreign Direct Investment Financial Flows: Outward: USD: Total: US Virgin Islands data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s South Korea – Table KR.OECD.FDI: Foreign Direct Investment Financial Flows: USD: by Region and Country: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle).; Under the directional presentation , the direct investment flows and positions are organised according to the direction of the investment for the reporting economy-either outward or inward . So, for a particular country, all flows and positions of direct investors resident in that economy are shown under outward investment and all flows and positions for direct investment enterprises resident in that economy are shown under inward investment. The directional presentation reflects the direction of influence. For more details, see a complete note on ' Asset/liability versus directional presentation '; FDI financial flows are cross-border transactions between affiliated parties (direct investors, direct investment enterprises and/or fellow enterprises) recorded during the reference period (typically year or quarter). FDI positions represent the value of the stock of direct investments held at the end of the reference period (typically year or quarter). The change in direct investment positions from one period to the next is equal to the value of financial transactions recorded during the period plus other changes in prices, exchange rates, and volume. FDI income data are closely linked to the stocks of investments and are used for analysis of the productivity of the investment and calculation of the rate of return on the total funds invested. The main financial instrument components of FDI are equity and debt instruments. Equity includes common and preferred shares (exclusive of non-participating preference shares which should be included under debt), reserves, capital contributions and reinvestment of earnings. Dividends, distributed branch earnings, reinvested earnings and undistributed branch earnings are components of FDI income on equity . Reinvested earnings and reinvestment of earnings are separately identified components of equity in FDI income data and in FDI financial flows. Debt instruments include marketable securities such as bonds, debentures, commercial paper, promissory notes, non-participating preference shares and other tradable non-equity securities as well as loans, deposits, trade credit and other accounts payable/ receivable.The interest returns on the above instruments are included in FDI income on debt .; FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series excluding resident SPEs only. Valuation method used for listed inward and outward equity positions: Own funds at book value. Valuation method used for unlisted inward equity positions: Own funds at book value. Valuation method used for unlisted outward equity positions: Own funds at book value, Accumulation of FDI equity flows, Book values. Valuation method used for inward debt positions: Nominal value. Valuation method used for outward debt positions: Market value.

  3. Justice40 Tracts November 2022 Version 1.0 (Archive)

    • resilience.climate.gov
    • hrtc-oc-cerf.hub.arcgis.com
    • +2more
    Updated Nov 22, 2022
    + more versions
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    Esri (2022). Justice40 Tracts November 2022 Version 1.0 (Archive) [Dataset]. https://resilience.climate.gov/datasets/f95344889cab44bd84207052f44cb940
    Explore at:
    Dataset updated
    Nov 22, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This layer is an archive of Version 1.0 of the CEJST data as a fully functional GIS layer. See an archive of the latest version of the CEJST tool using Version 2.0 of the data released in December 2024 here.This layer assesses and identifies communities that are disadvantaged according to updated Justice40 Initiative criteria. Census tracts in the U.S. and its territories that meet the Version 1.0 criteria are shaded in semi-transparent blue colors to work with a variety of basemaps. See this web map for use in your dashboards, story maps, and apps.Details of the assessment are provided in the popup for every census tract in the United States and its territories American Samoa, Guam, the Northern Mariana Islands, Puerto Rico, and the U.S. Virgin Islands. This map uses 2010 census tracts from Version 1.0 of the source data downloaded November 22, 2022.If you have been using a previous version of the Justice40 data, please know that this Version 1.0 differs in many ways. See the updated Justice40 Initiative criteria for current specifics. Use this layer to help plan for grant applications, to perform spatial analysis, and to create informative dashboards and web applications. See this blog post for more information.From the source:This data "highlights disadvantaged census tracts across all 50 states, the District of Columbia, and the U.S. territories. Communities are considered disadvantaged:If they are in census tracts that meet the thresholds for at least one of the tool’s categories of burden, orIf they are on land within the boundaries of Federally Recognized TribesCategories of BurdensThe tool uses datasets as indicators of burdens. The burdens are organized into categories. A community is highlighted as disadvantaged on the CEJST map if it is in a census tract that is (1) at or above the threshold for one or more environmental, climate, or other burdens, and (2) at or above the threshold for an associated socioeconomic burden.In addition, a census tract that is completely surrounded by disadvantaged communities and is at or above the 50% percentile for low income is also considered disadvantaged.Census tracts are small units of geography. Census tract boundaries for statistical areas are determined by the U.S. Census Bureau once every ten years. The tool utilizes the census tract boundaries from 2010. This was chosen because many of the data sources in the tool currently use the 2010 census boundaries."PurposeThe goal of the Justice40 Initiative is to provide 40 percent of the overall benefits of certain Federal investments in [eight] key areas to disadvantaged communities. These [eight] key areas are: climate change, clean energy and energy efficiency, clean transit, affordable and sustainable housing, training and workforce development, the remediation and reduction of legacy pollution, [health burdens] and the development of critical clean water infrastructure." Source: Climate and Economic Justice Screening tool"Sec. 219. Policy. To secure an equitable economic future, the United States must ensure that environmental and economic justice are key considerations in how we govern. That means investing and building a clean energy economy that creates well‑paying union jobs, turning disadvantaged communities — historically marginalized and overburdened — into healthy, thriving communities, and undertaking robust actions to mitigate climate change while preparing for the impacts of climate change across rural, urban, and Tribal areas. Agencies shall make achieving environmental justice part of their missions by developing programs, policies, and activities to address the disproportionately high and adverse human health, environmental, climate-related and other cumulative impacts on disadvantaged communities, as well as the accompanying economic challenges of such impacts. It is therefore the policy of my Administration to secure environmental justice and spur economic opportunity for disadvantaged communities that have been historically marginalized and overburdened by pollution and underinvestment in housing, transportation, water and wastewater infrastructure, and health care." Source: Executive Order on Tackling the Climate Crisis at Home and AbroadUse of this Data"The pilot identifies 21 priority programs to immediately begin enhancing benefits for disadvantaged communities. These priority programs will provide a blueprint for other agencies to help inform their work to implement the Justice40 Initiative across government." Source: The Path to Achieving Justice 40The layer has some transparency applied to allow it to work sufficiently well on top of many basemaps. For optimum map display where streets and labels are clearly shown on top of this layer, try one of the Human Geography basemaps and set transparency to 0%, as is done in this example web map.Browse the DataView the Data tab in the top right of this page to browse the data in a table and view the metadata available for each field, including field name, field alias, and a field description explaining what the field represents.Symbology updated 2/19/2023 to show additional tracts whose overlap with tribal lands is greater than 0% but less than 1%, to be designated as "Partially Disadvantaged" alongside tracts whose overlap with tribal lands is 1% or more.

  4. I

    Israel IL: Foreign Direct Investment Financial Flows: Outward: USD: Total:...

    • ceicdata.com
    Updated May 30, 2022
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    CEICdata.com (2022). Israel IL: Foreign Direct Investment Financial Flows: Outward: USD: Total: British Virgin Islands [Dataset]. https://www.ceicdata.com/en/israel/foreign-direct-investment-financial-flows-usd-by-region-and-country-oecd-member-annual
    Explore at:
    Dataset updated
    May 30, 2022
    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, 2020
    Area covered
    Israel
    Description

    IL: Foreign Direct Investment Financial Flows: Outward: USD: Total: British Virgin Islands data was reported at 0.000 USD mn in 2020. IL: Foreign Direct Investment Financial Flows: Outward: USD: Total: British Virgin Islands data is updated yearly, averaging 0.000 USD mn from Dec 2020 (Median) to 2020, with 1 observations. The data reached an all-time high of 0.000 USD mn in 2020 and a record low of 0.000 USD mn in 2020. IL: Foreign Direct Investment Financial Flows: Outward: USD: Total: British Virgin Islands data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Israel – Table IL.OECD.FDI: Foreign Direct Investment Financial Flows: USD: by Region and Country: OECD Member: Annual. FDI statistics by partner country and by industry details are on asset/liability basis.; Under the directional presentation , the direct investment flows and positions are organised according to the direction of the investment for the reporting economy-either outward or inward . So, for a particular country, all flows and positions of direct investors resident in that economy are shown under outward investment and all flows and positions for direct investment enterprises resident in that economy are shown under inward investment. The directional presentation reflects the direction of influence. For more details, see a complete note on ' Asset/liability versus directional presentation '; FDI financial flows are cross-border transactions between affiliated parties (direct investors, direct investment enterprises and/or fellow enterprises) recorded during the reference period (typically year or quarter). FDI positions represent the value of the stock of direct investments held at the end of the reference period (typically year or quarter). The change in direct investment positions from one period to the next is equal to the value of financial transactions recorded during the period plus other changes in prices, exchange rates, and volume. FDI income data are closely linked to the stocks of investments and are used for analysis of the productivity of the investment and calculation of the rate of return on the total funds invested. The main financial instrument components of FDI are equity and debt instruments. Equity includes common and preferred shares (exclusive of non-participating preference shares which should be included under debt), reserves, capital contributions and reinvestment of earnings. Dividends, distributed branch earnings, reinvested earnings and undistributed branch earnings are components of FDI income on equity . Reinvested earnings and reinvestment of earnings are separately identified components of equity in FDI income data and in FDI financial flows. Debt instruments include marketable securities such as bonds, debentures, commercial paper, promissory notes, non-participating preference shares and other tradable non-equity securities as well as loans, deposits, trade credit and other accounts payable/ receivable.The interest returns on the above instruments are included in FDI income on debt .; FDI transactions and positions by partner country and by industry include resident Special Purpose Entities (SPEs), but they are not significant. Valuation method for FDI transactions: unspecified. Valuation method for FDI positions: unspecified. . Valuation method used for unlisted outward equity positions: .

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South Atlantic Coastal Study (2021). SACS Census Blocks [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/SACS::sacs-census-blocks/explore

SACS Census Blocks

Explore at:
Dataset updated
Nov 29, 2021
Dataset authored and provided by
South Atlantic Coastal Study
Area covered
Description

The SACS Tier 2 Economics Risk Assessment is an estimate of storm surge inundation risk to public and private property within the South Atlantic Division (SAD) area of responsibility (AOR). This includes all coastal and riverine areas within the zone of tidal influence in North Carolina (NC), South Carolina (SC), Georgia (GA), Florida (FL), Alabama (AL), Puerto Rico (PR), and the US Virgin Islands (VI). The risk is expressed as the expected annual damages (EAD) to structures and their contents described in dollars. Risks are described as a range between the EAD under existing sea level conditions (low) and the EAD assuming up to 3 ft of future sea level change (high) for the continental U.S. and 2.33 ft of sea level rise for Puerto Rico and the U.S. Virgin Islands. The EADs are presented in a geospatial format at the census block level. These results are initially aggregated to the census block level. Additional SACS Geospatial Data aggregates these values to the Place, County, and State/Territory. The primary use of this risk assessment is to help inform coastal storm risk management (CSRM) decisions regarding the relative distribution of economic risk over space. Other uses include trying to understand the rough order of magnitude range of economic risks associated with a CSRM problem or the achievable risk management from a CSRM measure or solution.The primary dimension of economic risk considered in this effort is storm surge (inundation) risk to infrastructure, public and private property. Damages are presented as consequences of annual exceedance probability (AEP) events and risks are presented as the expected annual damages for the series of storms. Damage values are reflective of structure and content depreciated losses expressed in 2018 price levels. The SACS Tier-II Economic Risk Assessment consists of surge damages to structure and content depreciated values by census block. The risk for CONUS areas was estimated using the FEMA flood loss mitigation model Hazus. Due to Hazus limitations, the FEMA FAST model was used to estimate storm surge risk for the OCONUS areas. Hazus (Hazus) is a multi-hazard loss estimation methodology developed by the Federal Emergency Management Agency (FEMA) for use by federal, state, region, local governments, and private enterprises in planning for risk mitigation, emergency preparedness, response, and recovery. Hazus uses Geographic Information Systems (GIS) technology to estimate physical, economic, and social impact of disasters. To assess potential impacts of coastal flooding as part of the South Atlantic Coastal Study (SACS) the Hazus Flood Model was applied. The analysis included only coastal flooding and omitted any riverine and precipitation contributions to flood water elevations. The Hazus methodology can be applied at any of three levels of analysis: (1) Level 1 – Relies on the extensive national databases embedded in the model. Applies default hazards, inventories, and damage functions. (2) Level 2 – Combines user specified local hazard, inventory, and damage functions with default databases. (3) Level 3 – Involves extensive user specified local hazard and inventory data as well as detailed engineering data. As the level of analysis increases, the level of effort and data sophistication also increases which the level of uncertainty decreases. Given the extent of the AOR a Level 1 analysis was applied.For additional information and detailed methodology on the HAZUS and FAST model inputs, please reference the Tier 2 Economic Risk Assessment Technical report located at the following link: https://www.sad.usace.army.mil/SACS/

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