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Tribal Community Resilience: Liaison Directory
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Tribal Community Resilience (TCR) Annuals Awards
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,The Branch of Tribal Community Resilience (TCR) provides financial support for Federally-recognized Tribal Nations and authorized Tribal organizations through a competitive funding opportunity. Since 2011, TCR has distributed over 900 awards totaling almost $120 million. This layer displays this location of the tribal office of the tribe or tribal organization receiving funding through the annual awards program. The FY22 Tribal Community Resilience annual award program categories and more information can be found on the TCR Program webpage here: https://www.bia.gov/service/tcr-annual-awards-program,
Tribal Community Resilience: Community Driven Relocation StoryMap
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,The Biden-Harris administration announced the launch of a new Voluntary Community-Driven Relocation program, led by the Department of the Interior, to assist Tribal communities severely impacted by environmental threats. Through investments from President Biden’s Bipartisan Infrastructure Law and Inflation Reduction Act, the Department is committing $115 million for 11 severely impacted Tribes to advance relocation efforts and adaptation planning. Additional support for relocation will be provided by the Federal Emergency Management Administration (FEMA) and the Denali Commission. Alaska communities located along coastlines and tidally influenced rivers are vulnerable to coastal erosion. These communities face advanced planning decisions, such as implementing shore protection or moving infrastructure. This work aims to provide quantitative erosion exposure data to Alaskans that can be combined with local knowledge and evidence for developing hazard mitigation plans and strategies to address erosion. DGGS Report of Investigation 2021-3, Erosion exposure assessment of infrastructure in Alaska coastal communities, provides estimated erosion exposure for 48 communities from the Bering to the Beaufort seas. The Division of Geological & Geophysical Surveys conducted a shoreline change assessment to forecast 20-, 40-, and 60-year erosion estimates using the Digital Shoreline Analysis System (DSAS; Himmelstoss and others, 2018), and estimated the replacement cost of infrastructure in the forecast area. The geodatabase includes mean erosion forecasts and maximum uncertainties for 38 communities along with infrastructure locations and classification derived from Alaska Division of Community & Regional Affairs digital mapping products (DCRA, 2021) for 44 communities. All files are available from the DGGS website: https://doi.org/10.14509/30672. The sea level rise (SLR) coastal inundation layers were created using existing federal products: the (1) NOAA Coastal Digital Elevation Models (DEMs) and (2) 2022 Interagency Sea Level Rise Technical Report Data Files. The DEMs for the Continental United States (CONUS) are provided in North American Vertical Datum 1988 (NAVD 88) and were converted to Mean Higher High Water (MHHW) using the NOAA VDatum conversion surfaces; the elevation values are in meters (m). The NOAA Scenarios of Future Mean Sea Level are provided in centimeters (cm). The MHHW DEMs for CONUS were merged and converted to cm and Scenarios of Future Mean Sea Level were subtracted from the merged DEM. Values below 0 represent areas that are below sea level and are “remapped” to 1, all values above 0 are remapped to “No Data”, creating a map that shows only areas impacted by SLR. Areas protected by levees in Louisiana and Texas were then masked or removed from the results. This was done for each of the emissions scenarios (Lower Emissions = 2022 Intermediate SLR Scenario Higher Emissions = 2022 Intermediate High SLR Scenario) at each of the mapped time intervals (Early Century - Year 2030, Middle Century - Year 2050, and Late Century - Year 2090). The resulting maps are displayed in the CMRA Assessment Tool. County, tract, and tribal geographies summaries of percentage SLR inundation were also calculated using Zonal Statistics tools. The Sea Level Rise Scenario year 2020 is considered “baseline” and the impacts are calculated by subtracting the baseline value from each of the near-term, mid-term and long-term timeframes. Thumbnail image and following quote courtesy of The Yurok Tribe, “Klamath River estuary on the Yurok Indian Reservation, anticipated area of greatest direct impact from sea level rise.”,
BIA Mapped Lands Tract Viewer
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,The BIA TAAMS Mapped Tribal Tracts and BIA TAAMS Mapped Tribal Parcels datasets depict tracts and parcels with Tribal ownership or are allotted. This dataset is organized y Land Area Code and Tract Number. This dataset is updated as mapped parcels are updated. This dataset only displayed mapped Tracts and Parcels and it may not be a full picture of Tribal Tracts and Parcels. If a parcel cannot be mapped for any reason it may not be displayed in this dataset, thus this dataset should not be considered a complete picture of Tribal land. The BIA Mapped Tribals Tract and BIA Mapped Tribals Parcels services display the same data. A parcel is a subdivision of a tract. Ownership is indicated in both the Tract and Parcel dataset in the 'Ownership' field. An Ownership value of 'T' indicates Tribally-ownership and an ownership value of 'A' indicates the tract and parcel is allotted. The Division of Land Titles and Records (DLTR) compiled the data to support the Bureau of Indian Affairs. The source information for tract data is the Trust Asset and Accounting Management System (TAAMS), which is the system of record.,
CommunitySurvey2024unweighted
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,These data include the individual responses for the City of Tempe Annual Community Survey conducted by ETC Institute. This dataset has two layers and includes both the weighted data and unweighted data. Weighting data is a statistical method in which datasets are adjusted through calculations in order to more accurately represent the population being studied. The weighted data are used in the final published PDF report.,These data help determine priorities for the community as part of the City's on-going strategic planning process. Averaged Community Survey results are used as indicators for several city performance measures. The summary data for each performance measure is provided as an open dataset for that measure (separate from this dataset). The performance measures with indicators from the survey include the following (as of 2024):,1. Safe and Secure Communities,,,2. Strong Community Connections,,,3. Quality of Life,,,4. Sustainable Growth & Development,No Performance Measures in this category presently relate directly to the Community Survey,5. Financial Stability & Vitality,No Performance Measures in this category presently relate directly to the Community Survey,Methods:,The survey is mailed to a random sample of households in the City of Tempe. Follow up emails and texts are also sent to encourage participation. A link to the survey is provided with each communication. To prevent people who do not live in Tempe or who were not selected as part of the random sample from completing the survey, everyone who completed the survey was required to provide their address. These addresses were then matched to those used for the random representative sample. If the respondent’s address did not match, the response was not used.,To better understand how services are being delivered across the city, individual results were mapped to determine overall distribution across the city.,Additionally, demographic data were used to monitor the distribution of responses to ensure the responding population of each survey is representative of city population.,Processing and Limitations:,The location data in this dataset is generalized to the block level to protect privacy. This means that only the first two digits of an address are used to map the location. When they data are shared with the city only the latitude/longitude of the block level address points are provided. This results in points that overlap. In order to better visualize the data, overlapping points were randomly dispersed to remove overlap. The result of these two adjustments ensure that they are not related to a specific address, but are still close enough to allow insights about service delivery in different areas of the city.,The weighted data are used by the ETC Institute, in the final published PDF report.,The 2024 Annual Community Survey report is available on data.tempe.gov or by visiting https://www.tempe.gov/government/strategic-management-and-innovation/signature-surveys-research-and-dataThe individual survey questions as well as the definition of the response scale (for example, 1 means “very dissatisfied” and 5 means “very satisfied”) are provided in the data dictionary.,
CommunitySurvey2024weighted
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,These data include the individual responses for the City of Tempe Annual Community Survey conducted by ETC Institute. This dataset has two layers and includes both the weighted data and unweighted data. Weighting data is a statistical method in which datasets are adjusted through calculations in order to more accurately represent the population being studied. The weighted data are used in the final published PDF report.,These data help determine priorities for the community as part of the City's on-going strategic planning process. Averaged Community Survey results are used as indicators for several city performance measures. The summary data for each performance measure is provided as an open dataset for that measure (separate from this dataset). The performance measures with indicators from the survey include the following (as of 2024):,1. Safe and Secure Communities,,,2. Strong Community Connections,,,3. Quality of Life,,,4. Sustainable Growth & Development,No Performance Measures in this category presently relate directly to the Community Survey,5. Financial Stability & Vitality,No Performance Measures in this category presently relate directly to the Community Survey,Methods:,The survey is mailed to a random sample of households in the City of Tempe. Follow up emails and texts are also sent to encourage participation. A link to the survey is provided with each communication. To prevent people who do not live in Tempe or who were not selected as part of the random sample from completing the survey, everyone who completed the survey was required to provide their address. These addresses were then matched to those used for the random representative sample. If the respondent’s address did not match, the response was not used.,To better understand how services are being delivered across the city, individual results were mapped to determine overall distribution across the city.,Additionally, demographic data were used to monitor the distribution of responses to ensure the responding population of each survey is representative of city population.,Processing and Limitations:,The location data in this dataset is generalized to the block level to protect privacy. This means that only the first two digits of an address are used to map the location. When they data are shared with the city only the latitude/longitude of the block level address points are provided. This results in points that overlap. In order to better visualize the data, overlapping points were randomly dispersed to remove overlap. The result of these two adjustments ensure that they are not related to a specific address, but are still close enough to allow insights about service delivery in different areas of the city.,The weighted data are used by the ETC Institute, in the final published PDF report.,The 2024 Annual Community Survey report is available on data.tempe.gov or by visiting https://www.tempe.gov/government/strategic-management-and-innovation/signature-surveys-research-and-dataThe individual survey questions as well as the definition of the response scale (for example, 1 means “very dissatisfied” and 5 means “very satisfied”) are provided in the data dictionary.,
Chart 3.6.1 Community Supports Members in the Last 12 Months of the Reporting Period by Race and Ethnicity Compared with Overall MCP Population
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,ECM Community Support Services tables for a Quarterly Implementation Report. Including the County and Plan Details for both ECM and Community Support.,,This Medi-Cal Enhanced Care Management (ECM) and Community Supports Calendar Year Quarterly Implementation Report provides a comprehensive overview of ECM and Community Supports implementation in the programs' first year. It includes data at the state, county, and plan levels on total members served, utilization, and provider networks.,ECM is a statewide MCP benefit that provides person-centered, community-based care management to the highest need members. The Department of Health Care Services (DHCS) and its MCP partners began implementing ECM in phases by Populations of Focus (POFs), with the first three POFs launching statewide in CY 2022.,Community Supports are services that address members’ health-related social needs and help them avoid higher, costlier levels of care. Although it is optional for MCPs to offer these services, every Medi-Cal MCP offered Community Supports in 2022, and at least two Community Supports services were offered and available in every county by the end of the year.,
Racial and Social Equity Composite Index Current for Countywide Comparisons
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