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The “COG Geography TCAC/HCD Opportunity Map” uses the same methodology as the TCAC/HCD Opportunity Map but incorporates the following changes:The reference geography is changed from the California Tax Credit Allocation Committee (TCAC) region to the Council of Governments (COG).All tracts within COGs are scored against each other. Tracts that do not fall within a COG are scored against tracts within their county.All areas are assessed at the tract level.For more on the TCAC/HCD Opportunity Map methodology, click here: https://www.treasurer.ca.gov/ctcac/opportunity.asp Similar to the TCAC/HCD Opportunity Map, this layer seeks to identify areas in every region of the state whose characteristics have been shown by research to support positive economic, educational, and health outcomes for low-income families—particularly long-term outcomes for children. The methodology changes described above are intended to better align the map with RHNA and Housing Element goals and geographies.For example, this map scores areas against all other areas within the same COG—or the same county, for non-COG areas—rather than against TCAC-defined regions, which are different than COGs. The TCAC/HCD Opportunity Map uses TCAC regions as the reference geography because the map was specifically designed for application in the 9% LIHTC program, which ranks affordable housing funding projects against other projects in the same TCAC-defined region.In addition, this map does not designate nor adopt a distinct approach to scoring rural areas, but instead scores all areas in the same region on the same scale and at the tract level. This approach contrasts with the TCAC/HCD Opportunity Map, which scores rural areas separately—because rural affordable housing developments compete in a separate funding pool.
Bexar County has 24 census tracts designated as Opportunity Zones. Tracts were eligible for designation based on low-income and high poverty rates based on 2011-2015 ACS 5-year estimates.
Nature-based solutions is a leading policy option for mitigating climate change. We mapped areas of potential restoration and conservation opportunities in the conterminous U.S. (CONUS). The potential for five scenarios were examined: increasing forest cover in urban centers, restoring historically forested areas that have been converted to grasslands, conserving pristine grasslands, rewetting peatlands, and conserving vulnerable tidal wetlands.
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description: This 2013 dataset includes information at the block group-level for the 5-county Austin metro area. Economic, educational, housing, mobility, and environmental indicators are calculated for each block group to provide a comprehensive opportunity index score. This score reflects "opportunity" in the area, defined as a situation or condition that places individuals in a position to be more likely to succeed or excel. This data was collected and calculated by the Kirwan Institute, with collaboration from Green Doors and various community partners, and is compiled in "Geography of Opportunity in Austin" (http://www.greendoors.org/programs/docs/Geography-of-Opportunity-Austin-2013.pdf#page=43). The data can be viewed in an interactive map form here: http://www.arcgis.com/home/webmap/viewer.html?webmap=5db08646b03547abab85aec0a3592fb7. The data is also available in shapefile format for use in ESRI GIS mapping applications here: https://data.austintexas.gov/Neighborhood/Kirwin-Opportunity-Map/3ns6-m3cy.; abstract: This 2013 dataset includes information at the block group-level for the 5-county Austin metro area. Economic, educational, housing, mobility, and environmental indicators are calculated for each block group to provide a comprehensive opportunity index score. This score reflects "opportunity" in the area, defined as a situation or condition that places individuals in a position to be more likely to succeed or excel. This data was collected and calculated by the Kirwan Institute, with collaboration from Green Doors and various community partners, and is compiled in "Geography of Opportunity in Austin" (http://www.greendoors.org/programs/docs/Geography-of-Opportunity-Austin-2013.pdf#page=43). The data can be viewed in an interactive map form here: http://www.arcgis.com/home/webmap/viewer.html?webmap=5db08646b03547abab85aec0a3592fb7. The data is also available in shapefile format for use in ESRI GIS mapping applications here: https://data.austintexas.gov/Neighborhood/Kirwin-Opportunity-Map/3ns6-m3cy.
U.S. Government Workshttps://www.usa.gov/government-works
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This is a MD iMAP hosted service. Find more information at http://imap.maryland.gov. The Communities of Opportunity designated on the Maryland QAP Comprehensive Opportunity Maps are based on a 'Composite Opportunity Index' developed by DHCD. The Composite Opportunity Index uses publicly - available data and is based on three major factors: community health - economic opportunity - and educational opportunity. To be designated a Community of Opportunity - and mapped as such to the Maryland QAP Comprehensive Opportunity Maps - the community must have a Composite Opportunity Index that it is above the statewide average. See Section 3.1 of the Program Guide for more details. http://mdhousing.org/Website/Programs/rhf/documents/Guide.pdf Last Updated: 03/2016Feature Service Link:http://geodata.md.gov/imap/rest/services/BusinessEconomy/MD_HousingDesignatedAreas/FeatureServer/2 ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.
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Qualified Opportunity ZonesThis feature layer, utilizing data from the U.S. Department of the Treasury, depicts all Qualified Opportunity Zones in the United States. Per IRS, "Opportunity Zones are an economic development tool that allows people to invest in distressed areas in the United States. Their purpose is to spur economic growth and job creation in low-income communities while providing tax benefits to investors.Opportunity Zones were created under the Tax Cuts and Jobs Act of 2017 (Public Law No. 115-97). Thousands of low-income communities in all 50 states, the District of Columbia and five U.S. territories are designated as Qualified Opportunity Zones. Taxpayers can invest in these zones through Qualified Opportunity Funds." Chicago, Illinois Opportunity ZonesData currency: December 14, 2018Data source: Opportunity Zones ResourcesData modification: NoneFor more information: Opportunity NowFor feedback, please contact: ArcGIScomNationalMaps@esri.comCommunity Development Financial InstitutionsPer CDFI, "The CDFI Fund was created for the purpose of promoting economic revitalization and community development through investment in and assistance to Community Development Financial Institutions (CDFIs)."
This dataset contains replication files for "The Opportunity Atlas: Mapping the Childhood Roots of Social Mobility" by Raj Chetty, John Friedman, Nathaniel Hendren, Maggie R. Jones, and Sonya R. Porter. For more information, see https://opportunityinsights.org/paper/the-opportunity-atlas/. A summary of the related publication follows. We construct a publicly available atlas of children’s outcomes in adulthood by Census tract using anonymized longitudinal data covering nearly the entire U.S. population. For each tract, we estimate children’s earnings distributions, incarceration rates, and other outcomes in adulthood by parental income, race, and gender. These estimates allow us to trace the roots of outcomes such as poverty and incarceration back to the neighborhoods in which children grew up. We find that children’s outcomes vary sharply across nearby tracts: for children of parents at the 25th percentile of the income distribution, the standard deviation of mean household income at age 35 is $5,000 across tracts within counties. We illustrate how these tract-level data can provide insight into how neighborhoods shape the development of human capital and support local economic policy using two applications. First, we show that the estimates permit precise targeting of policies to improve economic opportunity by uncovering specific neighborhoods where certain subgroups of children grow up to have poor outcomes. Neighborhoods matter at a very granular level: conditional on characteristics such as poverty rates in a child’s own Census tract, characteristics of tracts that are one mile away have little predictive power for a child’s outcomes. Our historical estimates are informative predictors of outcomes even for children growing up today because neighborhood conditions are relatively stable over time. Second, we show that the observational estimates are highly predictive of neighborhoods’ causal effects, based on a comparison to data from the Moving to Opportunity experiment and a quasi-experimental research design analyzing movers’ outcomes. We then identify high-opportunity neighborhoods that are affordable to low-income families, providing an input into the design of affordable housing policies. Our measures of children’s long-term outcomes are only weakly correlated with traditional proxies for local economic success such as rates of job growth, showing that the conditions that create greater upward mobility are not necessarily the same as those that lead to productive labor markets. Click here to view the Opportunity Atlas Any opinions and conclusions expressed herein are those of the authors and do not necessarily reflect the views of the U.S. Census Bureau. All results have been reviewed to ensure that no confidential information is disclosed. The statistical summaries reported in this paper have been cleared by the Census Bureau’s Disclosure Review Board release authorization number CBDRB-FY18-319.
In February 2017, the Department of Housing and Community Development (HCD) and the California Tax Credit Allocation Committee (TCAC) convened a group of independent organizations and research centers that would become the California Fair Housing Task Force(“Task Force”). TCAC and HCD charged the Task Force with creating an opportunity map to identify areas in every region of the state whose characteristics have been shown by research to support positive economic, educational, and health outcomes for low-income families—particularly long-term outcomes for children. This dataset is from the TCAC opportunity areas mapping analysis of 2020. Orginal data sourced from: https://www.treasurer.ca.gov/ctcac/opportunity/2020.asp
Map of the Qualified Opportunity Zones in the City of Detroit. Data provided by the Detroit Economic Growth Corporation (DEGC) on the City of Detroit Open Data Portal, by census tract. Updated March 2018.
The Communities of Opportunity designated on the Maryland QAP Comprehensive Opportunity Maps are based on a “Composite Opportunity Index” developed by DHCD. The Composite Opportunity Index uses publicly - available data and is based on three major factors: community health, economic opportunity, and educational opportunity. To be designated a Community of Opportunity, and mapped as such to the Maryland QAP Comprehensive Opportunity Maps, the community must have a Composite Opportunity Index that it is above the statewide average. See Section 3.1 of the Program Guide for more details. https://dhcd.maryland.gov/HousingDevelopment/Documents/rhf/2020Guide.pdfThis is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Feature Service Link:https://geodata.md.gov/imap/rest/services/BusinessEconomy/MD_HousingDesignatedAreas/FeatureServer/2
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This layer is published from the Department of Community Affairs to show Federally designated Opportunity Zones.The U.S. Department of the Treasury and the Internal Revenue Service (IRS) have designated Opportunity Zones in 18 States, including 260 census tracts in the State of Georgia. Economic investment in these areas, which are some of the most distressed communities in the country, may now be eligible for preferential tax treatment. These new Federal Opportunity Zones are intended to facilitate investment in areas where poverty rates are greater than 20 percent.“This designation will enable some of our state’s struggling communities to attract much-needed private sector investment,” said DCA Commissioner Christopher Nunn. “By giving an economic ‘shot in the arm’ to these communities, the goal is to boost investment where it’s most urgently needed.”Georgia’s 260 zones, located in 83 counties, represent some of the most concentrated poverty in the state and are found in both rural and metropolitan areas, with approximately 60% rural and 40% urban. Qualified Opportunity Zones retain this designation for 10 years. Investors can defer tax on any prior gains until no later than December 31, 2026, so long as the gain is reinvested in a Qualified Opportunity Fund, an investment vehicle organized to make investments in Qualified Opportunity Zones. In addition, if the investor holds the investment in the Opportunity Fund for at least ten years, the investor would be eligible for an increase in its basis equal to the fair market value of the investment on the date that it is sold.Treasury and the IRS plan to issue additional information on Qualified Opportunity Funds to address the certification of Opportunity Funds, which are required to have at least 90 percent of fund assets invested in Opportunity Zones. DCA will communicate additional information about the specifics of the program as it is released by Treasury. Interactive map of designated Opportunity Zones.Additional information on Opportunity Zones.View a full list of Georgia’s designated census tracts, by county.Click here for FAQs.About the Georgia Department of Community AffairsThe Georgia Department of Community Affairs (DCA) partners with communities to create a climate of success for Georgia’s families and businesses through community and economic development, local government assistance, and safe and affordable housing. Using state and federal resources, DCA helps communities spur private job creation, implement planning, develop downtowns, generate affordable housing solutions, and promote volunteerism. DCA also helps qualified low- and moderate-income Georgians buy homes, rent housing, and prevent foreclosure and homelessness. For more information, visit www.dca.ga.gov.
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Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
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EcoDRR global classification scheme based on spatial combination of ecosystem coverage and natural hazard physical exposure. The ecosystem data-set contains area percentage of each considered ecosystem in a 100 square kilometer cell. For a specific ecosystem, a 0.01 degree resolution raster of coverage real area is generated. In the case of forest coverage, the classification of the source datasets was grouped in three classes: woodland, open forest and closed forest. The quality of ecosystem in a 100 km2 grid cell is expressed as its area percentage, considering only cell land area for forest ecosystem.
Sources: This dataset describes the current status of land areas that could potentially be forested according to climate (includes forest, open forest, woodlands). Intact forests and Fragmented/managed forests were not considered to need restoration. Potential forest lands that are currently non-forest were assumed to be deforested. Forest lands with significantly reduced canopy coverage were considered to be partially deforested (for example, potential closed forest with canopy coverage less than 45%). Both deforested and partially deforested lands considered to be restoration opportunity areas. Credit: Peter Potapov, Lars Laestadius, and Susan Minnemeyer. 2011. Global map of forest cover and condition. World Resources Institute: Washington, DC. Online at www.wri.org/forest-restoration-atlas.
Section 1400Z–1(b)(1)(A) of the Code allowed the Chief Executive Officer (CEO) of each State to nominate a limited number of population census tracts to be designated as Zones for purposes of §§ 1400Z–1 and 1400Z–2. Revenue Procedure 2018–16, 2018–9 I.R.B. 383, provided guidance to State CEOs on the eligibility criteria and procedure for making these nominations. Section 1400Z–1(b)(1)(B) of the Code provides that after the Secretary receives notice of the nominations, the Secretary may certify the nominations and designate the nominated tracts as Zones.
Section 1400Z–2 of the Code allows the temporary deferral of inclusion in gross income for certain realized gains to the extent that corresponding amounts are timely invested in a qualified opportunity fund. Investments in a qualified opportunity fund may also be eligible for additional tax benefits. To learn more about Qualified Opportunity Zones visit: https://www.cdfifund.gov/opportunity-zones, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Date of Coverage: 12/2019Data Dictionary: DD Opportunity Zone Eligible Census Tracts
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