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

The following data were used for the Department of Water Resources' (DWR) Disadvantaged Communities (DAC) Mapping Tool: https://gis.water.ca.gov/app/dacs/. The data source is from the US Census (American Community Survey), that may include attribute table additions by DWR. The DAC Mapping Tool was designed, and the related datasets made publicly available, to assist in the evaluation of DACs throughout the state, as may relate to the various Grant Programs within the Financial Assistance Branch (FAB) at DWR. The definition of DAC may vary by grant program (within FAB, DWR or grant programs of other public agencies). As such, users should be familiar with the specific requirements for meeting DAC status, based on the particular grant solicitation/program of interest.

For more information related to the Grant Programs within the Financial Assistance Branch, visit: https://water.ca.gov/Work-With-Us/Grants-And-Loans/IRWM-Grant-Programs https://water.ca.gov/Work-With-Us/Grants-And-Loans/Sustainable-Groundwater

Additional questions or requests for information related to the DAC datasets (or the DAC Mapping Tool) should be directed to: dwr_irwm@water.ca.gov.

For more information on DWR's FAB programs, please visit: https://water.ca.gov/Work-With-Us/Grants-And-Loans/IRWM-Grant-Programs

The Climate Leadership and Community Protection Act (CLCPA) directs the Climate Justice Working Group (CJWG) to establish criteria for defining disadvantaged communities. This dataset identifies areas throughout the State that meet the final disadvantaged community definition as voted on by the Climate Justice Working Group.

The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, accelerate economic growth, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

This map shows the 2022 disadvantaged communities designated by CalEPA for the purpose of SB 535. These areas represent:Highest scoring 25% of census tracts from CalEnviroScreen 4.0, along with census tracts scoring in the top 5% of the Pollution Burden indicator but without an overall CalEnviroScreen score due to due to unavailable or unreliable Population Characteristics indicator data and score.All census tracts currently identified as disadvantaged but not in the highest scoring 25% census tracts in version 4.0 (i.e., the highest scoring 25% of census tracts in CalEnviroScreen 3.0 along with the census tracts with the highest 5% Pollution Burden scores, but without an overall CalEnviroScreen score). See the Disadvantaged Communities 2017 map here.Federally recognized tribal areas as identified by the Census in the 2021 American Indian Areas Related National Geodatabase. A Tribe may establish that a particular area of land is under its control, for purposes of this designation, by requesting a consultation with the CalEPA Deputy Secretary for Environmental Justice, Tribal Affairs and Border Relations at TribalAffairs@calepa.ca.govPlease see CalEPA's Draft Designation of Disadvantaged Communities Pursuant to Senate Bill 535 document as well as CalEPA's California Climate Investments to Benefit Disadvantaged Communities page.

This dataset identifies areas throughout the State that meet the interim criteria identified for a disadvantaged community as defined by New York State. It contains the 4,145 Census block groups that make up the current interim Disadvantaged Communities (DAC) approach. NYSERDA currently hosts a map on its website showing the interim DAC areas with an address look-up function that allows users to enter an address to determine if the address falls inside or outside an interim DAC: https://www.nyserda.ny.gov/ny/disadvantaged-communities The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit https://nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

This Disadvantaged Communities (DAC) file contains the Census tracts that met criteria as 2022 Disadvantaged Communities (SB535) with Tribal Areas that fall outside of the designated Census tracts.This DAC file represents four (4)geographic areas. In this designation, CalEPA formally designated four categories of geographic areas as disadvantaged:1. Census tracts receiving the highest 25 percent of overall scores in CalEnviroScreen 4.0.2. Census tracts lacking overall scores in CalEnviroScreen 4.0 due to data gaps, but receiving the highest 5 percent of CalEnviroScreen 4.0 cumulative pollution burden scores.3. Census tracts identified in the 2017 DAC designation as disadvantaged, regardless of their scores in CalEnviroScreen 4.0.4. Lands under the control of federally recognized Tribes. For purposes of this designation, a Tribe may establish that a particular area of land is under its control even if not represented as such on CalEPA’s DAC map and therefore should be considered a DAC by requesting a consultation with the CalEPA Deputy Secretary for Environmental Justice, Tribal Affairs and Border Relations at TribalAffairs@calepa.ca.gov.SCAG combined both those Census tracts described in 1-3 categories and tribal areas defined by the United States Census Bureau in the 4th category to present a single layer with all of the designated disadvantaged communities.Note: Tribal Areas do not have CalEnviroScreen 4.0 analysis.

This layer represents the geographic areas 1-3 below. Category 4, tribal lands, are in the other layer.In this designation, CalEPA formally designated four categories of geographic areas as disadvantaged:1. Census tracts receiving the highest 25 percent of overall scores in CalEnviroScreen 4.0 (1,984 tracts).2. Census tracts lacking overall scores in CalEnviroScreen 4.0 due to data gaps, but receiving the highest 5 percent of CalEnviroScreen 4.0 cumulative pollution burden scores (19 tracts).3. Census tracts identified in the 2017 DAC designation as disadvantaged, regardless of their scores in CalEnviroScreen 4.0 (307 tracts).4. Lands under the control of federally recognized Tribes. For purposes of this designation, a Tribe may establish that a particular area of land is under its control even if not represented as such on CalEPA’s DAC map and therefore should be considered a DAC by requesting a consultation with the CalEPA Deputy Secretary for Environmental Justice, Tribal Affairs and Border Relations at TribalAffairs@calepa.ca.gov.

This layer represents the geographic areas 4 below. Category 1-3, census tracts, are in the other layer.In this designation, CalEPA formally designated four categories of geographic areas as disadvantaged:Census tracts receiving the highest 25 percent of overall scores in CalEnviroScreen 4.0 (1,984 tracts).Census tracts lacking overall scores in CalEnviroScreen 4.0 due to data gaps, but receiving the highest 5 percent of CalEnviroScreen 4.0 cumulative pollution burden scores (19 tracts).Census tracts identified in the 2017 DAC designation as disadvantaged, regardless of their scores in CalEnviroScreen 4.0 (305 tracts).Lands under the control of federally recognized Tribes. For purposes of this designation, a Tribe may establish that a particular area of land is under its control even if not represented as such on CalEPA’s DAC map and therefore should be considered a DAC by requesting a consultation with the CalEPA Deputy Secretary for Environmental Justice, Tribal Affairs and Border Relations at TribalAffairs@calepa.ca.gov. This file contains legal AIANNH entities for which the Census Bureau publishes data. The legal entities consist of federally recognized American Indian Reservations (AIRs) and Off-Reservation Trust Lands (ORTL). Downloaded in 2022 from the US Census website here: https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html

This layer represents the geographic areas 1-4 below.In this designation, CalEPA formally designated four categories of geographic areas as disadvantaged:1. Census tracts receiving the highest 25 percent of overall scores in CalEnviroScreen 4.02. Census tracts lacking overall scores in CalEnviroScreen 4.0 due to data gaps, but receiving the highest 5 percent of CalEnviroScreen 4.0 cumulative pollution burden scores.3. Census tracts identified in the 2017 DAC designation as disadvantaged, regardless of their scores in CalEnviroScreen 4.04. Lands under the control of federally recognized Tribes. For purposes of this designation, a Tribe may establish that a particular area of land is under its control even if not represented as such on CalEPA's DAC map and therefore should be considered a DAC by requesting a consultation with the CalEPA Deputy Secretary for Environmental Justice, Tribal Affairs and Border Relations at TribalAffairs@calepa.ca.gov

This layer shows census tracts that meet the following definitions: Census tracts with median household incomes at or below 80 percent of the statewide median income or with median household incomes at or below the threshold designated as low income by the Department of Housing and Community Development’s list of state income limits adopted under Healthy and Safety Code section 50093 and/or Census tracts receiving the highest 25 percent of overall scores in CalEnviroScreen 4.0 or Census tracts lacking overall scores in CalEnviroScreen 4.0 due to data gaps, but receiving the highest 5 percent of CalEnviroScreen 4.0 cumulative population burden scores or Census tracts identified in the 2017 DAC designation as disadvantaged, regardless of their scores in CalEnviroScreen 4.0 or Lands under the control of federally recognized Tribes.Data downloaded in May 2022 from https://webmaps.arb.ca.gov/PriorityPopulations/.

The IRWM web based DAC mapping tool uses this GIS layer. Created by joining ACS 2019-2023 5 year estimates to the Census 2020 Block Group 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 2020 tabulation blocks 3001, 3002, 3003,.., 3999 within Census 2020 tract 1210.02 are also within BG 3 within that census tract. Census 2020 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 2020, 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.

CDFW BIOS GIS Dataset, Contact: Financial Assistance Branch, Description: 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.

California Department of Water Resources layer of disadvantaged communities in California based on 2016 census.

Here we present the genetic map construction methods for the switchgrass 4-way mapping population. The map spans 750 recombinant 4-way (pseudo F2) progeny genotyped at 4700 markers. These data are formatted for simple input into R/qtl and most other QTL mapping programs.Â

Lands under the control of federally recognized Tribes. These boundaries have been clipped to the boundary of California so that only the portions of each Tribal area that fall within California are included. For purposes of this designation, a Tribe may establish that a particular area of land is under its control even if not represented as such on CalEPA's DAC map and therefore should be considered a DAC by requesting a consultation with the CalEPA Deputy Secretary for Environmental Justice, Tribal Affairs and Border Relations at TribalAffairs@calepa.ca.gov

The AIANNH feature class from the Census Bureau depicts actual parcels of land which fall into one of the following classifications:

• Federally designated Tribal reservation
• Off-reservation trust land (ORTL) (U.S. Trust owned by the US Government, managed by the BIA on behalf of the designated Tribe)

This map was developed to help potential applicants of the Rural Electric Vehicle (REV) 2.0 grant funding opportunity (GFO) identify eligible project sites for electric vehicle (EV) infrastructure deployment as described in the REV 2.0 GFO manual. The map displays several layers which represent the site eligibility requirements for this funding opportunity:Eligible rural and rural center tractsDisadvantaged (DAC) and/or low-income (LIC) communities, as defined by Senate Bill (SB) 535 and Assembly Bill (AB) 1550 and designated by the California Environmental Protection Agency (CalEPA) and the California Air Resources Board (CARB)For a site to be eligible for this GFO, it must be located either in a rural tract or rural center tract. A minimum of 50 percent of a proposed project’s EV charging ports must be located within either in a DAC and/or LIC.

The IRWM web based DAC mapping tool uses this GIS layer. Created by joining ACS 2019-2023 5 year estimates to the 2020 Census Place feature class. A Census Place is a location that is incorporated (city or town), unincorporated areas are CDP (Census Designated Place). The TIGER/Line shapefiles and related database files (.dbf) 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 shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The TIGER/Line shapefiles include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The boundaries of all incorporated places are as of April 1, 2020 as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

This layer shows a multi-component analysis for California stream gage priorities at the Hydrologic Unit Code 12 (HUC12) watershed resolution. The Stream Gage Prioritization Analysis is part of the Senate Bill 19 Stream Gaging Plan, which seeks to prioritize areas for additional stream gaging efforts. The dataset includes the gaged proportion of each HUC12 based on a Gage Gap Analysis and information on prioritization results based on five management criteria. The management criteria include scores for ecosystem, water quality, water supply, flood, and reference gages. The priorities are the top scoring 200 watersheds for each management criteria area, for a total of 921 watersheds with overlap between the priorities. The 921 priorities are assigned a primary (highest scoring) benefit. Included is the presence of gages that could be reactivated or upgraded in the watershed. The presence of underrepresented communities, as defined in the Department of Water Resources DAC Mapping Tool, is also noted for each watershed.parameterRangeDescriptionhuc124469California huc12 watershed, of which there are 4469 totalhuc12_name Name of the huc12 watershedhuc101039California huc10 watershed, of which there are 1039 totalhuc10_name Name of the huc10 watershedfirst_in_huc100 or 1first time this huc10 appears in a ranked list; for hucXX_multibenefit, the master rank is hucXX_rank_combinedprimary benefit top scoring management criteria, if in top 100 or 200; if "multibenefit topranks", it scores in top 100 in multiple categories; if "combined above median", it scores in the top 200 in no categories but the sum of the scores is in the top 200prop_need_gage0 - 1Proportion of huc12 watershed that is ungaged, by stream segment lengthhuc12_gg_combined0 - 4Sum ecosystem_gg, watersupply_gg, waterquality_gg, and flood_gghuc12_gg_combined_ref0 - 5Same as huc12_gg_combined plus reference_priority_score_01ecosystem_gg0 – 1Final ecosystem score = ecosystem_raw x prop_need_gageecosystem_rank1-4096Final ecosystem ranking based on ecosystem_gg, with 1 the highest. Equal scores receive equal highest rank.ecosystem_raw0 - 1Raw management priority score, without gage gapwaterquality_gg0 – 1Final waterquality score = waterquality_raw x prop_need_gagewaterquality_rank1 - 1299Final waterquality ranking based on waterquality_gg, with 1 the highest. Equal scores receive equal highest rank.waterquality_raw0 - 1Raw management priority score, without gage gapwatersupply_gg0 – 1Final watersupply score = watersupply_raw x prop_need_gagewatersupply_rank1-3166Final watersupply ranking based on watersupply_gg, with 1 the highest. Equal scores receive equal highest rank.watersupply_raw0 - 1Raw management priority score, without gage gapflood_gg0 – 1Final flood score = flood_raw x prop_need_gageflood_rank1-4025Final flood ranking based on flood_gg , with 1 the highest. Equal scores receive equal highest rank.flood_raw0 - 1Raw management priority score, without gage gapref_priority_score_010 – 1Final reference gage score = (1 – gagepair_score) * ref_impairment_scorereference_rank1 – 2231 (4469)Final reference ranking based on ref_priority_score_01, with 1 the highest. Equal scores receive equal highest rank.gagepair_score0- 1Final gage pairing score, which indicates how well each watershed matches to the best fit reference gage. 1 indicates a perfect match. site_id_upgrade Gage ID of top-scoring upgrade gage in this watershedsite_name_upgrade Gage name of top-scoring upgrade gage in this watershedgage_upgrade_spatial_history_score0 - 1Final gage spatial marginal benefit score, where 1 is a high spatial marginal benefit and 0 is redundant with another gage. No history component for upgrade gagessite_id_reactivate Gage ID of top-scoring inactive gage in this watershedsite_name_reactivate Gage name of top-scoring inactive gage in this watershedgage_reactivate_spatial_history_score0 - 1Final combined gage spatial marginal benefit and gage history score, where 1 is a high spatial marginal benefit with a long and/or recent active gage history and 0 is redundant with another gage and/or indicates a very temporary gage. ecosystem priority1, 0.5, 0Score = 1 is rank 1-100; Score = 0.5 is rank 101-200 for ecosystemwaterquality priority1, 0.5, 0Score = 1 is rank 1-100; Score = 0.5 is rank 101-200 for waterqualitywatersupply priority1, 0.5, 0Score = 1 is rank 1-100; Score = 0.5 is rank 101-200 for watersupplyflood priority1, 0.5, 0Score = 1 is rank 1-100; Score = 0.5 is rank 101-200 for floodreference priority1, 0.5, 0Score = 1 is rank 1-100; Score = 0.5 is rank 101-200 for referencescoresum priority1, 0.5, 0Score = 1 is rank 1-100; Score = 0.5 is rank 101-200 for raw score summarynum_of_ind_priority0 - 5Score = ecosystem priority + waterquality_priority + watersupply_priority + flood_priority + reference_prioritydac_type indicates if there is a Disadvantaged Community (DAC) present in the watershed, with data equal to severe DAC (SDAC), DAC, not a DAC (community is present), no data (community is present), or no census data (area not analyzed for DAC)

This map is part of SDGs Today. Please see sdgstoday.orgOfficial development assistance (ODA) is defined by the Organisation for Economic Co-operation and Development (OECD) Development Assistance Committee (DAC) as government aid that promotes and targets the economic development and welfare of developing countries. It remains the main source of financing for development aid, and is a key measure of international aid flow. ODA flows to eligible countries and territories on the DAC’s list of ODA recipients are concessional grants or soft loans provided by official agencies, including governments. Eligible countries include low and middle-income countries as published by the World Bank, with some exceptions. The UN has set an ODA target of 0.7% gross national income (GNI).Annual ODA data is collected, verified, and made publicly available by the OECD. In 2019, the grant equivalent system became the standard for measuring ODA to provide a more realistic comparison of loans and grants. This records only the grant equivalent of loans as ODA.ODA grant equivalent is reported by the OECD in USD or as a proportion of GNI by country and as a total for DAC countries.For more information, contact OECD at dac.contact@oecd.org.

CAP ilots used in the processing of applications for CAD (Sustainable Agriculture Contract), contracts related to the 2006-2010 programme, these contracts were completed in 2012. History: CAP ilots (possibly before full validation by the DDAF as part of the RPG’s instruction) the most recent used as the basis for the CAD commitment requests (DAC request localisation plan), for consultation in ACTE. This data has been imported from CartoCAD, the ADASEA input software, using a locally defined frequency and modality of shipments between DDAF and ADASEA. This layer can be different from the layer of CAP ilots: it may be more recent than the layer of CAP islets on the basis of consultation (update of islets when applying for CAD filed in year n compared to those declared in campaign n-1), but it is not valid for the purposes of Instruction of area declarations.