Analysis of ‘Census Tract Economically Distressed Areas 2018’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/f54a2841-b9b7-4147-b6ca-f743aa50675d on 12 February 2022.

--- Dataset description provided by original source is as follows ---

This is a copy of the statewide Census Tract GIS Tiger file. It is used to determine if a census tract (CT) is DAC or not by adding ACS (American Community Survey) Median Household Income (MHI) data at the CT level. The IRWM web based DAC mapping tool uses this GIS layer. Every year this table gets updated after ACS publishes their updated MHI estimates. Created by joining 2016 DAC table to 2010 Census Tracts feature class. The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2010 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

--- Original source retains full ownership of the source dataset ---

Analysis of ‘Census Tract Economically Distressed Areas 2018’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/d1eb9a2a-7402-4947-a44a-0ac743d33008 on 12 February 2022.

--- Dataset description provided by original source is as follows ---

This is a copy of the statewide Census Tract GIS Tiger file. It is used to determine if a census tract (CT) is DAC or not by adding ACS (American Community Survey) Median Household Income (MHI) data at the CT level. The IRWM web based DAC mapping tool uses this GIS layer. Every year this table gets updated after ACS publishes their updated MHI estimates. Created by joining 2016 DAC table to 2010 Census Tracts feature class. The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2010 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

--- Original source retains full ownership of the source dataset ---

This is a copy of the statewide Census County GIS Tiger file. It is used to determine if a county is EDA or not by adding ACS (American Community Survey) Median Household Income (MHI) and Population Density data at the county level. The IRWM web based DAC mapping tool uses this GIS layer. Every year this table gets updated after ACS publishes their updated estimates. Created by joining 2016 EDA table to 2010 block groups feature class. The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Block Groups (BGs) are defined before tabulation block delineation and numbering, but are clusters of blocks within the same census tract that have the same first digit of their 4-digit census block number from the same decennial census. For example, Census 2000 tabulation blocks 3001, 3002, 3003,.., 3999 within Census 2000 tract 1210.02 are also within BG 3 within that census tract. Census 2000 BGs generally contained between 600 and 3,000 people, with an optimum size of 1,500 people. Most BGs were delineated by local participants in the Census Bureau's Participant Statistical Areas Program (PSAP). The Census Bureau delineated BGs only where the PSAP participant declined to delineate BGs or where the Census Bureau could not identify any local PSAP participant. A BG usually covers a contiguous area. Each census tract contains at least one BG, and BGs are uniquely numbered within census tract. Within the standard census geographic hierarchy, BGs never cross county or census tract boundaries, but may cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas. BGs have a valid code range of 0 through 9. BGs coded 0 were intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. For Census 2000, rather than extending a census tract boundary into the Great Lakes or out to the U.S. nautical three-mile limit, the Census Bureau delineated some census tract boundaries along the shoreline or just offshore. The Census Bureau assigned a default census tract number of 0 and BG of 0 to these offshore, water-only areas not included in regularly numbered census tract areas.

Listing of SONYMA target areas by US Census Bureau Census Tract or Block Numbering Area (BNA). The State of New York Mortgage Agency (SONYMA) targets specific areas designated as ‘areas of chronic economic distress’ for its homeownership lending programs. Each state designates ‘areas of chronic economic distress’ with the approval of the US Secretary of Housing and Urban Development (HUD). SONYMA identifies its target areas using US Census Bureau census tracts and block numbering areas. Both census tracts and block numbering areas subdivide individual counties. SONYMA also relates each of its single-family mortgages to a specific census tract or block numbering area. New York State identifies ‘areas of chronic economic distress’ using census tract numbers. 26 US Code § 143 (current through Pub. L. 114-38) defines the criteria that the Secretary of Housing and Urban Development uses in approving designations of ‘areas of chronic economic distress’ as: i) the condition of the housing stock, including the age of the housing and the number of abandoned and substandard residential units, (ii) the need of area residents for owner-financing under this section, as indicated by low per capita income, a high percentage of families in poverty, a high number of welfare recipients, and high unemployment rates, (iii) the potential for use of owner-financing under this section to improve housing conditions in the area, and (iv) the existence of a housing assistance plan which provides a displacement program and a public improvements and services program. The US Census Bureau’s decennial census last took place in 2010 and will take place again in 2020. While the state designates ‘areas of chronic economic distress,’ the US Department of Housing and Urban Development must approve the designation. The designation takes place after the decennial census.

Analysis of ‘Census Block Group Economically Distressed Areas 2018’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/ac57065c-1179-421b-968f-e8010700189c on 12 February 2022.

--- Dataset description provided by original source is as follows ---

This is a copy of the statewide Census Block Group GIS Tiger file. It is used to determine if a block group (BG) is EDA or not by adding ACS (American Community Survey) Median Household Income (MHI) and Population Density data at the BG level. The IRWM web based DAC mapping tool uses this GIS layer. Every year this table gets updated after ACS publishes their updated estimates. Created by joining 2016 EDA table to 2010 block groups feature class. The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Block Groups (BGs) are defined before tabulation block delineation and numbering, but are clusters of blocks within the same census tract that have the same first digit of their 4-digit census block number from the same decennial census. For example, Census 2000 tabulation blocks 3001, 3002, 3003,.., 3999 within Census 2000 tract 1210.02 are also within BG 3 within that census tract. Census 2000 BGs generally contained between 600 and 3,000 people, with an optimum size of 1,500 people. Most BGs were delineated by local participants in the Census Bureau's Participant Statistical Areas Program (PSAP). The Census Bureau delineated BGs only where the PSAP participant declined to delineate BGs or where the Census Bureau could not identify any local PSAP participant. A BG usually covers a contiguous area. Each census tract contains at least one BG, and BGs are uniquely numbered within census tract. Within the standard census geographic hierarchy, BGs never cross county or census tract boundaries, but may cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas. BGs have a valid code range of 0 through 9. BGs coded 0 were intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. For Census 2000, rather than extending a census tract boundary into the Great Lakes or out to the U.S. nautical three-mile limit, the Census Bureau delineated some census tract boundaries along the shoreline or just offshore. The Census Bureau assigned a default census tract number of 0 and BG of 0 to these offshore, water-only areas not included in regularly numbered census tract areas.

--- Original source retains full ownership of the source dataset ---

Analysis of ‘Census County Economically Distressed Areas 2018’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/0b289b5e-0507-424d-9f07-f8d2b11b9580 on 27 January 2022.

--- Dataset description provided by original source is as follows ---

This is a copy of the statewide Census County GIS Tiger file. It is used to determine if a county is EDA or not by adding ACS (American Community Survey) Median Household Income (MHI) and Population Density data at the county level. The IRWM web based DAC mapping tool uses this GIS layer. Every year this table gets updated after ACS publishes their updated estimates. Created by joining 2016 EDA table to 2010 block groups feature class. The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Block Groups (BGs) are defined before tabulation block delineation and numbering, but are clusters of blocks within the same census tract that have the same first digit of their 4-digit census block number from the same decennial census. For example, Census 2000 tabulation blocks 3001, 3002, 3003,.., 3999 within Census 2000 tract 1210.02 are also within BG 3 within that census tract. Census 2000 BGs generally contained between 600 and 3,000 people, with an optimum size of 1,500 people. Most BGs were delineated by local participants in the Census Bureau's Participant Statistical Areas Program (PSAP). The Census Bureau delineated BGs only where the PSAP participant declined to delineate BGs or where the Census Bureau could not identify any local PSAP participant. A BG usually covers a contiguous area. Each census tract contains at least one BG, and BGs are uniquely numbered within census tract. Within the standard census geographic hierarchy, BGs never cross county or census tract boundaries, but may cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas. BGs have a valid code range of 0 through 9. BGs coded 0 were intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. For Census 2000, rather than extending a census tract boundary into the Great Lakes or out to the U.S. nautical three-mile limit, the Census Bureau delineated some census tract boundaries along the shoreline or just offshore. The Census Bureau assigned a default census tract number of 0 and BG of 0 to these offshore, water-only areas not included in regularly numbered census tract areas.

--- Original source retains full ownership of the source dataset ---

Analysis of ‘State of New York Mortgage Agency (SONYMA) Target Areas by Census Tract’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/54c83793-f5bc-4411-93f6-15a5761c6cdb on 27 January 2022.

--- Dataset description provided by original source is as follows ---

Listing of SONYMA target areas by US Census Bureau Census Tract or Block Numbering Area (BNA). The State of New York Mortgage Agency (SONYMA) targets specific areas designated as ‘areas of chronic economic distress’ for its homeownership lending programs. Each state designates ‘areas of chronic economic distress’ with the approval of the US Secretary of Housing and Urban Development (HUD). SONYMA identifies its target areas using US Census Bureau census tracts and block numbering areas. Both census tracts and block numbering areas subdivide individual counties. SONYMA also relates each of its single-family mortgages to a specific census tract or block numbering area. New York State identifies ‘areas of chronic economic distress’ using census tract numbers. 26 US Code § 143 (current through Pub. L. 114-38) defines the criteria that the Secretary of Housing and Urban Development uses in approving designations of ‘areas of chronic economic distress’ as: i) the condition of the housing stock, including the age of the housing and the number of abandoned and substandard residential units, (ii) the need of area residents for owner-financing under this section, as indicated by low per capita income, a high percentage of families in poverty, a high number of welfare recipients, and high unemployment rates, (iii) the potential for use of owner-financing under this section to improve housing conditions in the area, and (iv) the existence of a housing assistance plan which provides a displacement program and a public improvements and services program. The US Census Bureau’s decennial census last took place in 2010 and will take place again in 2020. While the state designates ‘areas of chronic economic distress,’ the US Department of Housing and Urban Development must approve the designation. The designation takes place after the decennial census.

--- Original source retains full ownership of the source dataset ---

Because of their restricted access to financial resources, couples undergoing economic distress are more likely to live in disadvantaged neighborhoods than are financially well-off couples. The link between individual economic distress and community-level economic disadvantage raises the possibility that these two conditions may combine or interact in important ways to influence the risk of intimate violence against women. This study examined whether the effect of economic distress on intimate violence was stronger in disadvantaged or advantaged neighborhoods or was unaffected by neighborhood conditions. This project was a secondary analysis of data drawn from Waves 1 and 2 of the National Survey of Families and Households (NSFH) and from the 1990 United States Census. From the NSFH, the researchers abstracted data on conflict and violence among couples, as well as data on their economic resources and well-being, the composition of the household in which the couple lived, and a large number of socio-demographic characteristics of the sample respondents. From the 1990 Census, the researchers abstracted tract-level data on the characteristics of the census tracts in which the NSFH respondents lived. Demographic information contains each respondent's race, sex, age, education, income, relationship status at Wave 1, marital status at Wave 1, cohabitation status, and number of children under 18. Using variables abstracted from both Wave 1 and Wave 2 of the NSFH and the 1990 Census, the researchers constructed new variables, including degree of financial worry and satisfaction for males and females, number of job strains, number of debts, changes in debts between Wave 1 and Wave 2, changes in income between Wave 1 and Wave 2, if there were drinking and drug problems in the household, if the female was injured, number of times the female was victimized, the seriousness of the violence, if the respondent at Wave 2 was still at the Wave 1 address, and levels of community disadvantage.

The Appalachian Regional Commission uses an economic classification system to identify and monitor the economic status of counties and census tracts in the Appalachian Region.

This map displays the FY 2017 classification of the Region's counties into one of five economic levels (distressed, at-risk, transitional, competitive, and attainment) and the designation of distressed areas (census tracts).

The Community Development Financial Institutions (CDFI) Fund, a division of the US Department of the Treasury, administers the New Markets Tax Credit (NMTC). The NMTC Program incentivizes community development and economic growth through the use of tax credits that attract private investment to distressed communities. This layer depicts area that are NMTC Qualified.New Market Tax Credit Program Note that the latest eligibility criteria use Census American Community Survey (ACS) 2016-2020 estimates.

These data represent the predicted (modeled) prevalence of Frequent Mental Distress among adults (Age 18+) for each census tract in Colorado. Frequent Mental Distress is defined as experiencing more than 14 mentally unhealthy days within the past 30 days in which mental health was "not good." Health conditions for measuring mental health include stress, depression, and problems with emotions.The estimate for each census tract represents an average that was derived from multiple years of Colorado Behavioral Risk Factor Surveillance System data (2014-2017).CDPHE used a model-based approach to measure the relationship between age, race, gender, poverty, education, location and health conditions or risk behavior indicators and applied this relationship to predict the number of persons' who have the health conditions or risk behavior for each census tract in Colorado. We then applied these probabilities, based on demographic stratification, to the 2013-2017 American Community Survey population estimates and determined the percentage of adults with the health conditions or risk behavior for each census tract in Colorado.The estimates are based on statistical models and are not direct survey estimates. Using the best available data, CDPHE was able to model census tract estimates based on demographic data and background knowledge about the distribution of specific health conditions and risk behaviors.The estimates are displayed in both the map and data table using point estimate values for each census tract and displayed using a Quintile range. The high and low value for each color on the map is calculated based on dividing the total number of census tracts in Colorado (1249) into five groups based on the total range of estimates for all Colorado census tracts. Each Quintile range represents roughly 20% of the census tracts in Colorado. No estimates are provided for census tracts with a known population of less than 50. These census tracts are displayed in the map as "No Est, Pop < 50."No estimates are provided for 7 census tracts with a known population of less than 50 or for the 2 census tracts that exclusively contain a federal correctional institution as 100% of their population. These 9 census tracts are displayed in the map as "No Estimate."

The Colorado Department of Public Health and Environment has developed community-level estimates for adults in a set of 14 important health condition and risk behavior indicators. The dataset includes indicators on adult asthma prevalence, cigarette smoking prevalence, coronary heart disease prevalence, percent of adults who delayed medical care due to cost, diabetes prevalence, binge drinking and heavy alcohol consumption, percent of adults with fair or poor health status, mental distress, percent of adults with no routine medical checkup in the past 12 month, obesity and overweight prevalence, percent of adults that did not report doing physical activity or exercise, and percent of adults with frequent physical distress. These four-year estimates (2013-2016) have been produced for each census tract in the State of Colorado based on modeled survey data collected in the Colorado Behavioral Risk Factor Surveillance System (BRFSS) and incorporating population, race, gender, and age estimates for each census tract from the American Community Survey. CDPHE's Community Level Estimates are output from statistical models used to generate health condition and risk behavior estimates for smaller geographies than traditional surveillance systems report. The estimates are produced using a multilevel model that incorporates individual Colorado Behavioral Risk Factor Surveillance System (BRFSS) survey responses in addition to socio-demographic and contextual information about each census tract from the U.S. Census (American Community Survey). The individual survey responses related to a health condition or risk behavior from the Colorado BRFSS are nested within geographic boundaries (counties) where both individual characteristics (demographic) as well as sociodemographic characteristics can be used to model the probability of having a health condition or risk behavior at the census tract geography.

Rhode Island Enterprise Zones are authorized by the Distressed Areas Economic Revitalization Act of the Rhode Island General Laws (RIGL) §42-64.3 and are limited to not more than five (5) contiguous U.S. census tracts or portions thereof. Exceptions to the five (5) census tract rule are prescribed in RIGL §42-64.3-5. The zones are delineated by U.S. census 2010 boundaries and defined under RIGL §42-64.3-5.

Enterprise zone designation and re-designation are based on a number of distressed criteria including poverty, unemployment, and median household and per capita incomes. As well as non-demographic factors like economic development opportunities and potential, and defined course of action plans that including local incentives, resources and services. The Distressed Areas Economic Revitalization Act which spawned the Enterprise Zone Program was created to combat substantial and persistent levels of unemployment, blight, the spread of obsolete, dilapidated, and abandoned industrial and commercial structures and shrinking tax bases by stimulating economic revitalization, promote employment opportunities, and encourage business development and expansion in distressed areas.

Enterprise Zone Designation Process: The Central Falls/Cumberland Enterprise Zone’s original designation was the result of a state wide RFP process; all subsequent re-designations were granted by the Rhode Island Enterprise Zone Council. The original designation proposal was approved in 1992; the zone was subsequently re-designated in 1996, 2001, 2006 and 2011. The zone is set to expire on December 31, 2016. The Cranston Enterprise Zone’s original designation was the result of a state wide RFP process, establishing the Port of Providence/Cranston Enterprise Zone; all subsequent re-designations were granted by the Rhode Island Enterprise Zone Council. The original designation proposal was approved in 1992; the zone was subsequently re-designated in 1996, 2001, 2006 and 2011. The zone is set to expire on December 31, 2016. The East Providence Enterprise Zone’s original designation was the result of a state wide RFP process; all subsequent re-designations were granted by the Rhode Island Enterprise Zone Council. The original designation proposal was approved in 1995; the zone was subsequently re-designated in 1999, 2004, 2009, and 2014. The zone is set to expire on December 31, 2019. The Bristol/Warren (Mt. Hope) Enterprise Zone’s original designation was the result of a state wide RFP process; all subsequent re-designations were granted by the Rhode Island Enterprise Zone Council. The original designation proposal was approved in 1993; the zone was subsequently re-designated in 1998, 2003, and 2008. The zone is set to expire on December 31, 2013. The Pawtucket/Lincoln Enterprise Zone’s original designation was the result of a state wide RFP process; all subsequent re-designations were granted by the Rhode Island Enterprise Zone Council. The original designation proposal was approved in 1992; the zone was subsequently re-designated in 1996, 2001, 2006 and 2011. The zone is set to expire on December 31, 2016. The Pawtucket II Enterprise Zone’s original designation was the result of legislation submitted by the city of Pawtucket, passed by the Rhode Island General Assembly, signed in to law by the Governor and authorized by the Rhode Island Enterprise Zone Council in 2013. The zone’s designation was retroactive to January 1, 2013, as a result, the original 5-year designation expires on December 31, 2017. The Portsmouth/Tiverton Enterprise Zone’s original designation was the result of a state wide RFP process; all subsequent re-designations were granted by the Rhode Island Enterprise Zone Council. The original designation proposal was approved in 1995; the zone was subsequently re-designated in 1999, 2004, 2009, and 2014. The zone is set to expire on December 31, 2019. The Port of Providence Enterprise Zone’s original designation was the result of a state wide RFP process, establishing the Port of Providence/Cranston Enterprise Zone; all subsequent re-designations were granted by the Rhode Island Enterprise Zone Council. The original designation proposal was approved in 1992; the zone was subsequently re-designated in 1996, 2001, 2006 and 2011. The zone is set to expire on December 31, 2016. The Providence II Enterprise Zone’s original designation was the result of a state wide RFP process; all subsequent re-designations were granted by the Rhode Island Enterprise Zone Council. The original designation proposal was approved in 1993; the zone was subsequently re-designated in 1997, 2002, 2007 and 2012. The zone is set to expire on December 31, 2017.The West Warwick Enterprise Zone’s original designation was the result of a state wide RFP process; all subsequent re-designations were granted by the Rhode Island Enterprise Zone Council. The original designation proposal was approved in 1993; the zone was subsequently re-designated in 1998, 2003 and 2009. The zone is set to expire on December 31, 2013. The Woonsocket/Cumberland Enterprise Zone’s original designation was the result of a state wide RFP process; all subsequent re-designations were granted by the Rhode Island Enterprise Zone Council. The original designation proposal was approved in 1992; the zone was subsequently re-designated in 1996, 2001, 2006 and 2011. The zone is set to expire on December 31, 2016. A detailed description of each Enterprise Zone boundary can be reviewed within the 'Fields' metadata section under Field 'EZone_Name' - List of Values.

Location of Newark Census Tracts with several health indicators relating to Asthma, Coronary Heart Disease, Life Expectancy, High Blood Pressure, Diabetes, Mental Distress, Lead Exposure, and Access to Healthy Foods. Census Tract boundaries clipped from US Census Bureau TIGER dataset. Used in the 2021 Newark Environmental Resources Inventory, Community and Population Characteristics (Part III) - Health (Ch. 6).

This estimate of the percent of distressed housing units in each Census Tract was prepared using data from the American Community Survey and the Allegheny County Property Assessment database. The estimate was produced by the Reinvestment Fund in their work with the Allegheny County Department of Economic Development.

Support for Health Equity datasets and tools provided by Amazon Web Services (AWS) through their Health Equity Initiative.

Investors are able to defer paying taxes on capital gains that are invested in Qualified Opportunity Funds that in turn are invested in distressed communities designated as Opportunity Zones by the governor of each state. Census tracts 86, 87, 90, 91, 92, 93, 94, 110.01, 111.01 and 118 have been designated by the Washington State Department of Commerce as Opportunity Zones. This layer dissolves the aforementioned Census Tracts.

Opportunity Zones are defined as "census tracts that are defined by the Internal Revenue Service (IRS) as “economically-distressed community where new investments, under certain conditions, may be eligible for preferential tax treatment. They were added to the tax code by the Tax Cuts and Jobs Act on December 22, 2017" (CA Opportunity Zones). Areas highlighted on the map represent census tracts that were designated as Qualified Opportunity Zones. Designations are based on the boundaries of the tract at the time of the designation in 2018.The data associated with the map came from the U.S. Department of the Treasury's Opportunity Zones Resources webpage.

Analysis of ‘Opportunity Zones’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/543389fc-3901-43d9-ad74-5a866d3707f7 on 27 January 2022.

--- Dataset description provided by original source is as follows ---

Investors are able to defer paying taxes on capital gains that are invested in Qualified Opportunity Funds that in turn are invested in distressed communities designated as Opportunity Zones by the governor of each state. Census tracts 86, 87, 90, 91, 92, 93, 94, 110.01, 111.01 and 118 have been designated by the Washington State Department of Commerce as Opportunity Zones. This layer dissolves the aforementioned Census Tracts.

--- Original source retains full ownership of the source dataset ---

These data represent the predicted (modeled) prevalence of Frequent Physical Distress among adults (Age 18+) for each census tract in Colorado. Frequent Physical Distress is defined as experiencing more than 14 physically unhealthy days within the past 30 days in which physical health was "not good." Health conditions for measuring physical health include physical illness and injury.The estimate for each census tract represents an average that was derived from multiple years of Colorado Behavioral Risk Factor Surveillance System data (2014-2017).CDPHE used a model-based approach to measure the relationship between age, race, gender, poverty, education, location and health conditions or risk behavior indicators and applied this relationship to predict the number of persons' who have the health conditions or risk behavior for each census tract in Colorado. We then applied these probabilities, based on demographic stratification, to the 2013-2017 American Community Survey population estimates and determined the percentage of adults with the health conditions or risk behavior for each census tract in Colorado.The estimates are based on statistical models and are not direct survey estimates. Using the best available data, CDPHE was able to model census tract estimates based on demographic data and background knowledge about the distribution of specific health conditions and risk behaviors.The estimates are displayed in both the map and data table using point estimate values for each census tract and displayed using a Quintile range. The high and low value for each color on the map is calculated based on dividing the total number of census tracts in Colorado (1249) into five groups based on the total range of estimates for all Colorado census tracts. Each Quintile range represents roughly 20% of the census tracts in Colorado. No estimates are provided for census tracts with a known population of less than 50. These census tracts are displayed in the map as "No Est, Pop < 50."No estimates are provided for 7 census tracts with a known population of less than 50 or for the 2 census tracts that exclusively contain a federal correctional institution as 100% of their population. These 9 census tracts are displayed in the map as "No Estimate."

The program was created to increase investment by investors into specific low-income communities. Under the program, investors who experience capital gains can invest that money into Qualified Opportunity Funds that spur development in designated, distressed census tracts known as Opportunity Zones. Doing so comes with tax benefits to the investors, and most importantly, will provide positive economic and social impacts within these communities.​