These layers represent census tracts (or portions of tracts) in New York State that may qualify for New York State’s historic tax credit programs. These programs are administered by the New York State Division for Historic Preservation, also known as the New York State Historic Preservation Office (SHPO). For more information, see SHPO’s Tax Credit Programs web page: https://parks.ny.gov/shpo/tax-credit-programs/The current layers are effective April 1, 2025 through March 31, 2026. They derive from data in yearly updates to the American Community Survey 5-Year Estimates. The most recent data used in these layers are the 2019–2023 estimates.The basic qualifying criteria are based on Table B19113 of the American Community Survey 5-Year Estimates. This table represents Median Family Income in the Past 12 Months (in Inflation-adjusted Dollars). If a tract’s median family income minus its margin of error is less than or equal to the statewide median family income plus the statewide margin of error, then it qualifies for the commercial and state homeowner tax credit programs. Properties in certain cities may qualify for the state homeowner tax credit program, even if they are in census tracts that do not meet the basic qualifying criteria. The enhanced qualifying criteria are based on Table S1701 of the American Community Survey 5-Year Estimates. This table represents Poverty Status in the Past 12 Months as a percentage. If a city’s estimated percentage below poverty level plus the margin of error is greater than or equal to 15.5%, then all locations within the city boundary qualify for the state homeowner tax credit program.If a tract or city no longer meets the criteria, its qualifying status is extended for a two-year grace period.If you have questions about the tax credit programs or the information in these layers, please see SHPO’s Contact page for a list of staff who review projects in your county.
2020 Census Tracts from the US Census for New York City. These boundary files are derived from the US Census Bureau's TIGER data products and have been geographically modified to fit the New York City base map. All previously released versions of this data are available at BYTES of the BIG APPLE- Archive.
This layer includes all New York State Urban Areas as identified by the United States Census Bureau (2020).
This dataset identifies areas throughout the State that meet the final disadvantaged community definition as voted on by the Climate Justice Working Group on March 27th, 2023. It contains the 4,918 census tracts in New York State and identifies the 1,736 census tracts that make up the current Disadvantaged Communities (DAC) definition. The dataset also includes the 45 indicators, expressed as a percentile ranking, used to determine each census tracts’ Environmental Burden and Climate Change Risks, and Population Characteristics and Health Vulnerabilities. The source for the Census Tract data is the US Census Bureau, Geography Division, Year 2019. For more information, please visit https://www.census.gov/cgi-bin/geo/shapefiles/index.php. The chosen 45 indicators represent a variety of data sources, both private and public. Further details on the methodology and resources can be found at https://climate.ny.gov/DAC-Criteria in the Technical Documentation, Indicator Prioritization and Selection section.View Dataset on the Gateway
Note: These layers were compiled by Esri's Demographics Team using data from the Census Bureau's American Community Survey. These data sets are not owned by the City of Rochester.Overview of the map/data: This map shows the percentage of the population living below the federal poverty level over the previous 12 months, shown by tract, county, and state boundaries. Estimates are from the 2018 ACS 5-year samples. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Current Vintage: 2019-2023ACS Table(s): B17020, C17002Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer will be updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico.Census tracts with no population are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -555555...) have been set to null. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small. NOTE: any calculated percentages or counts that contain estimates that have null margins of error yield null margins of error for the calculated fields.
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U.S. Census Bureau QuickFacts statistics for Middle Island CDP, New York. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.
The 2020 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. In MCD states where no MCD exists or no MCD is defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The generalized boundaries of legal MCDs are based on those as of January 1, 2020 as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CCDs, delineated in 21 states, are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.
This shapefile is an extract of selected geographic and cartographic information from the 1995 TIGER/Line files detailing census blocks. This dataset includes census block numbers, water blocks, and current geography.
This shapefile is an extract of selected geographic and cartographic information from the 1995 TIGER/Line files detailing census blocks. This dataset includes census block numbers, water blocks, and current geography.
The 2023 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. In MCD states where no MCD exists or no MCD is defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The generalized boundaries of legal MCDs are based on those as of January 1, 2023, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CCDs, delineated in 21 states, are based on those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.
The Cancer Mapping data consists of counts of newly diagnosed cancer among New York State residents and is in response to legislation regarding "Cancer incidence and environmental facility maps" signed into law in 2010 (Public Health Law §2401-B). The law specifies the publication of maps showing cancer counts for small geographic areas along with certain facilities regulated by the State Department of Environmental Conservation. The official web site is called Environmental Facilities and Cancer Mapping.
The dataset is ONLY for the cancer-related data fields on the Environmental Facilities and Cancer Mapping web site. This dataset includes observed counts for 23 separate anatomical sites at the level of census block group. Block groups are small geographic areas typically averaging 1,000 to 1,500 people. To protect confidentiality, each area contains a minimum of 6 total cancers among males and 6 total cancers among females.
For more information, check out http://www.health.ny.gov/statistics/cancer/registry/about.htm .
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This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).
These files are an extract of selected geographic and cartographic information from the 1995 TIGER/Line files detailing census blocks. This dataset includes census block numbers, water blocks, and current geography.
This shapefile is an extract of selected geographic and cartographic information from the 1995 TIGER/Line files detailing census blocks. This dataset includes census block numbers, water blocks, and current geography.
ESD provides capital grant funding from the Regional Council Capital Fund available for the State’s Regional Economic Development Council Initiative, which helps drive regional and local economic development across New York State in cooperation with ten Regional Economic Development Councils (“Regional Councils”). Capital grant funding is available for capital-based economic development projects intended to create or retain jobs; prevent, reduce or eliminate unemployment and underemployment; and/or increase business or economic activity in a community or Region. One of the program categories within the program will provide enhanced incentives for projects located in economically distressed areas (census tracts) where investments are needed to spur economic growth. The definition of economically distressed areas (census tracts) can be found below.
For more information and full program guidelines, please see the full program guidelines within the 2025 Available Resources at: https://regionalcouncils.ny.gov/
Economically distressed area shall mean the following based on the census tract for where the project is located:
Severely
distressed census tracts shall have at least 25 households receiving public
assistance income in the 2023 ACS 5-year estimate and meet at least five of the
criteria listed below:Moderately
distressed census tracts shall have at least 25 households receiving public
assistance income in the 2023 ACS 5-year estimate and meet at least three of
the criteria listed below:Slightly
distressed census tracts shall have at least 100 households receiving public
assistance income in the 2023 ACS 5-year estimate and meet at least two of the
criteria listed below:o
Population
loss between the 2023 ACS 5-year estimate and the 2019 ACS 5-year estimate – an
absolute loss in population.o
Unemployment
rate (2023 ACS 5-year estimate) higher than the State’s rate.o
Private
sector employment growth rate (2023 ACS 5-year estimate) over the preceding 5
years was lower than the State’s OR private sector employment (2023 ACS 5-year
estimate) as a percentage of total employment was less than the State’s.o
Percentage
of households receiving public assistance (2023 ACS 5-year estimate) was
greater than the statewide percentage.o
Poverty
rate (2023 ACS 5-year estimate) was greater than the State’s poverty rate.o
Per
Capita Income change (2023 ACS 5-year estimate) over the preceding five years
was less than the growth in the consumer price index (CPI) for all urban
consumers nationally OR per capita income was less than the State’s per capita
income.
Attributes:
Field Name
Data Type
Description
Census Tract
Number
The 11 digit geoid associated with each census tract in New York State. Census tracts are small, relatively permanent statistical subdivisions of a county that average about 4,000 inhabitants.
Stress Level
Number
The stress level number (1-4) associated with the census tract.
Stress Level Description
Text
The stress level description (Not Distressed, Slight Distress, Moderate Distress, Severe Distress) associated with the census tract.
Stress Level Color
Text
The stress level color (Gray, Light Orange, Dark Orange, Red) associated with the census tract.
As included in this EnviroAtlas dataset, the community level domestic water use is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). The New York City Department of Environmental Protection (NYCDEP) manages the city's water supply. Water use within the EnviroAtlas-defined study area was estimated at 125.8 GPD for 2009. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).
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U.S. Census Bureau QuickFacts statistics for Long Beach city, New York. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.
This EnviroAtlas dataset is the base layer for the New York, NY EnviroAtlas community. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).
The 2019 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), statistical census subareas (in Alaska), and unorganized territories. For the 2010 Census, MCDs are the primary governmental and/or administrative divisions of counties in 29 states and Puerto Rico; Tennessee changed from having CCDs for Census 2000 to having MCDs for the 2010 Census. In MCD states where no MCD exists or is not defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The boundaries of most legal MCDs are as of January 1, 2019, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all statistical county subdivisions (CCDs and census subareas), delineated in 21 states, are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.
We are also including a tabular version that’s slightly more comprehensive (would include anything that didn’t join to the parcel basefile due to lot alterations or resubdivisions since 2023 and/or due to parcels comprised of condos). This Excel file can be downloaded HERE, and does not contain the latitude and longitude information.Data Dictionary: Attribute Label Definition Source
TAX_ID Unique 26 character property tax identification number Onondaga County Planning
PRINTKEY Abbreviated tax identification number (section-block-lot) Onondaga County Planning
ADDRESSNUM Property’s physical street address Onondaga County Planning
ADDRESSNAM Property’s physical street name Onondaga County Planning
LAT Latitude Onondaga County Planning
LONG Longitude Onondaga County Planning
TAX_ID_1 City Tax ID number (26 digit number used for parcel mapping) City of Syracuse - Assessment
SBL Property Tax Map Number (Section, Block, Lot) City of Syracuse - Assessment
PNUMBR Property Number (10 digit number) City of Syracuse - Assessment
StNum Parcel street number City of Syracuse - Assessment
StName Parcel street name City of Syracuse - Assessment
FullAddress Street number and street name City of Syracuse - Assessment
Zip Parcel zip code City of Syracuse - Assessment
desc_1 Lot description including dimensions City of Syracuse - Assessment
desc_2 Lot description including dimensions City of Syracuse - Assessment
desc_3 Lot description including dimensions City of Syracuse - Assessment
SHAPE_IND
City of Syracuse - Assessment
LUC_parcel New York State property type classification code assigned by assessor during each roll categorizing the property by use. For more details: https://www.tax.ny.gov/research/property/assess/manuals/prclas.htm City of Syracuse - Assessment
LU_parcel New York State property type classification name City of Syracuse - Assessment
LUCat_Old Legacy land use category that corresponds to the overarching NYS category, i.e. all 400s = commercial, all 300s = vacant land, etc. NA
land_av Land assessed value City of Syracuse - Assessment
total_av Full assessed value City of Syracuse - Assessment
Owner Property owner name (First, Initial, Last, Suffix) City of Syracuse - Assessment
Add1_OwnPOBox Property owner mailing address (PO Box) City of Syracuse - Assessment
Add2_OwnStAdd Property owner mailing address (street number, street name, street direction) City of Syracuse - Assessment
Add3_OwnUnitInfo Property owner mailing address unit info (unit name, unit number) City of Syracuse - Assessment
Add4_OwnCityStateZip Property owner mailing address (city, state or country, zip code) City of Syracuse - Assessment
FRONT Front footage for square or rectangular shaped lots and the effective front feet on irregularly shaped lots in feet City of Syracuse - Assessment
DEPTH Actual depth of rectangular shaped lots in feet (irregular lots are usually measured in acres or square feet) City of Syracuse - Assessment
ACRES Number of acres (where values were 0, acreage calculated as FRONT*DEPTH)/43560) City of Syracuse - Assessment
yr_built Year built. Where year built was "0" or null, effective year built is given. (Effective age is determined by comparing the physical condition of one building with that of other like-use, newer buildings. Effective age may or may not represent the actual year built; if there have been constant upgrades or excellent maintenance this may be more recent than the original year built.) City of Syracuse - Assessment
n_ResUnits Number of residential units NA - Calculated field
IPSVacant Is it a vacant structure? ("Commercial" or "Residential" = Yes; null = No) City of Syracuse - Division of Code Enforcement
IPS_Condition Property Condition Score assigned to vacant properties by housing inspectors during routine vacant inspections (1 = Worst; 5 = Best) City of Syracuse - Division of Code Enforcement
NREligible National Register of Historic Places Eligible ("NR Eligible (SHPO)," or "NR Listed") City of Syracuse - Neighborhood and Business Development
LPSS Locally Protected Site Status ("Eligible/Architecturally Significant" or "Local Protected Site or Local District") City of Syracuse - Neighborhood and Business Development
WTR_ACTIVE Water activity code ("I" = Inactive; "A" = Active) City of Syracuse - Water
RNI Is property located in Resurgent Neighborhood Initiative (RNI) Area? (1 = Yes; 0 = No) City of Syracuse - Neighborhood and Business Development
DPW_Quad Geographic quadrant property is located in. Quadrants are divided Northwest, Northeast, Southwest, and Southeast based on property location in relation to I-81 and I-690. DPW uses the quad designation for some types of staff assignments. City of Syracuse - Department of Public Works
TNT_NAME TNT Sector property is located in City of Syracuse - Neighborhood and Business Development
NHOOD City Neighborhood Syracuse-Onondaga County Planning Agency (SOCPA)
NRSA Is property located in Neighborhood Revitilization Strategy Area (NRSA)? (1 = Yes; 0 = No) City of Syracuse - Neighborhood and Business Development
DOCE_Area Geographic boundary use to assign Division of Code Enforcement cases City of Syracuse - Neighborhood and Business Development
ZONE_DIST_PREV Former zoning district code Syracuse-Onondaga County Planning Agency (SOCPA)
REZONE ReZone designation (adopted June 2023) City of Syracuse - Neighborhood and Business Development
New_CC_DIST Current Common Council District property is located in Onondaga County Board of Elections
CTID_2020 Census Tract ID (2020) U.S. Census Bureau
CTLAB_2020 Census Tract Label (2020) U.S. Census Bureau
CT_2020 Census Tract (2020) U.S. Census Bureau
SpecNhood Is property located in a special Neighborhood historic preservation district? (1 = Yes; 0 or null = No) Syracuse-Onondaga County Planning Agency (SOCPA)
InPD Is property located in preservation district? (1 = Yes; 0 or null = No) Syracuse-Onondaga County Planning Agency (SOCPA)
PDNAME Preservation District name Syracuse-Onondaga County Planning Agency (SOCPA)
ELECT_DIST Election district number Onondaga County Board of Elections
CITY_WARD City ward number Onondaga County Board of Elections
COUNTY_LEG Onondaga County Legislative District number (as of Dec 2022) Onondaga County Board of Elections
NYS_ASSEMB New York State Assembly District number (as of Dec 2022) Onondaga County Board of Elections
NYS_SENATE New York State Senate District number (as of Dec 2022) Onondaga County Board of Elections
US_CONGR United States Congressional District number Onondaga County Board of Elections
Dataset Contact InformationOrganization: Neighborhood & Business DevelopmentPosition:Data Program ManagerCity:Syracuse, NYE-Mail Address:opendata@syrgov.netPlease note there is a data quality issue in this iteration with the preservation district (“InPD,” “PDNAME”) and special neighborhood historic district (“SpecNhood”) fields erroneously showing null results for all parcels.
These layers represent census tracts (or portions of tracts) in New York State that may qualify for New York State’s historic tax credit programs. These programs are administered by the New York State Division for Historic Preservation, also known as the New York State Historic Preservation Office (SHPO). For more information, see SHPO’s Tax Credit Programs web page: https://parks.ny.gov/shpo/tax-credit-programs/The current layers are effective April 1, 2025 through March 31, 2026. They derive from data in yearly updates to the American Community Survey 5-Year Estimates. The most recent data used in these layers are the 2019–2023 estimates.The basic qualifying criteria are based on Table B19113 of the American Community Survey 5-Year Estimates. This table represents Median Family Income in the Past 12 Months (in Inflation-adjusted Dollars). If a tract’s median family income minus its margin of error is less than or equal to the statewide median family income plus the statewide margin of error, then it qualifies for the commercial and state homeowner tax credit programs. Properties in certain cities may qualify for the state homeowner tax credit program, even if they are in census tracts that do not meet the basic qualifying criteria. The enhanced qualifying criteria are based on Table S1701 of the American Community Survey 5-Year Estimates. This table represents Poverty Status in the Past 12 Months as a percentage. If a city’s estimated percentage below poverty level plus the margin of error is greater than or equal to 15.5%, then all locations within the city boundary qualify for the state homeowner tax credit program.If a tract or city no longer meets the criteria, its qualifying status is extended for a two-year grace period.If you have questions about the tax credit programs or the information in these layers, please see SHPO’s Contact page for a list of staff who review projects in your county.