8 datasets found
  1. d

    Residential Existing Homes (One-to-Four Units) Energy Efficiency Projects...

    • catalog.data.gov
    • data.ny.gov
    • +1more
    Updated Jan 26, 2024
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    data.ny.gov (2024). Residential Existing Homes (One-to-Four Units) Energy Efficiency Projects for Households with Income up to 60% State Median Income: Beginning January 2018 [Dataset]. https://catalog.data.gov/dataset/residential-existing-homes-one-to-four-units-energy-efficiency-projects-for-households-wit
    Explore at:
    Dataset updated
    Jan 26, 2024
    Dataset provided by
    data.ny.gov
    Description

    IMPORTANT! PLEASE READ DISCLAIMER BEFORE USING DATA. To reduce the energy burden on income-qualified households within New York State, NYSERDA offers the EmPower New York (EmPower) program, a retrofit program that provides cost-effective electric reduction measures (i.e., primarily lighting and refrigerator replacements), and cost-effective home performance measures (i.e., insulation air sealing, heating system repair and replacments, and health and safety measures) to income qualified homeowners and renters. Home assessments and implementation services are provided by Building Performance Institute (BPI) Goldstar contractors to reduce energy use for low income households. This data set includes energy efficiency projects completed since January 2018 for households with income up to 60% area (county) median income. D I S C L A I M E R: Estimated Annual kWh Savings, Estimated Annual MMBtu Savings, and First Year Energy Savings $ Estimate represent contractor reported savings derived from energy modeling software calculations and not actual realized energy savings. The accuracy of the Estimated Annual kWh Savings and Estimated Annual MMBtu Savings for projects has been evaluated by an independent third party. The results of the impact analysis indicate that, on average, actual savings amount to 54 percent of the Estimated Annual kWh Savings and 70 percent of the Estimated Annual MMBtu Savings. The analysis did not evaluate every single project, but rather a sample of projects from 2007 and 2008, so the results are applicable to the population on average but not necessarily to any individual project which could have over or under achieved in comparison to the evaluated savings. The results from the impact analysis will be updated when more recent information is available. Some reasons individual households may realize savings different from those projected include, but are not limited to, changes in the number or needs of household members, changes in occupancy schedules, changes in energy usage behaviors, changes to appliances and electronics installed in the home, and beginning or ending a home business. For more information, please refer to the Evaluation Report published on NYSERDA’s website at: https://www.nyserda.ny.gov/-/media/Files/Publications/PPSER/Program-Evaluation/2012ContractorReports/2012-EmPower-New-York-Impact-Report.pdf. This dataset includes the following data points for projects completed after January 1, 2018: Reporting Period, Project ID, Project County, Project City, Project ZIP, Gas Utility, Electric Utility, Project Completion Date, Total Project Cost (USD), Pre-Retrofit Home Heating Fuel Type, Year Home Built, Size of Home, Number of Units, Job Type, Type of Dwelling, Measure Type, Estimated Annual kWh Savings, Estimated Annual MMBtu Savings, First Year Modeled Energy Savings $ Estimate (USD). How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov.

  2. a

    HOME Program Grantee Areas

    • opendata.atlantaregional.com
    Updated May 13, 2019
    + more versions
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    Department of Housing and Urban Development (2019). HOME Program Grantee Areas [Dataset]. https://opendata.atlantaregional.com/datasets/HUD::home-program-grantee-areas/geoservice
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    Dataset updated
    May 13, 2019
    Dataset authored and provided by
    Department of Housing and Urban Development
    Area covered
    Description

    Authorized under Title II of the Cranston-Gonzalez National Affordable Housing Act, the HOME Investment Partnership Program (HOME) is designed exclusively to create affordable housing for low-income households. Each year the HOME Program allocates approximately $2 billion to fund the development, purchase, or rehabilitation of affordable housing, and to provide direct rental assistance. To learn more about the CDBG program visit: https://www.hud.gov/hudprograms/home-program

    Data Dictionary: DD_HOME Grantee Areas

    Date of Coverage: 2018

    Data Updated: Annually

  3. l

    Local Employment Dynamics (LED) for HOME Grantee Areas

    • data.lojic.org
    • hudgis-hud.opendata.arcgis.com
    Updated Jul 31, 2023
    + more versions
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    Department of Housing and Urban Development (2023). Local Employment Dynamics (LED) for HOME Grantee Areas [Dataset]. https://data.lojic.org/maps/HUD::local-employment-dynamics-led-for-home-grantee-areas
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    Dataset updated
    Jul 31, 2023
    Dataset authored and provided by
    Department of Housing and Urban Development
    Area covered
    Description

    The Local Employment Dynamics (LED) Partnership is a voluntary federal-state enterprise created for the purpose of merging employee, and employer data to provide a set of enhanced labor market statistics known collectively as Quarterly Workforce Indicators (QWI). The QWI are a set of economic indicators including employment, job creation, earnings, and other measures of employment flows. For the purposes of this dataset, LED data for 2018 is aggregated to Census Summary Level 070 (State + County + County Subdivision + Place/Remainder), and joined with the Home Investment Partnership (HOME) Program grantee areas spatial dataset for FY2018. Authorized under Title II of the Cranston-Gonzalez National Affordable Housing Act, the HOME Investment Partnership Program (HOME) is designed exclusively to create affordable housing for low-income households. Each year the HOME Program allocates approximately $2 billion to fund the development, purchase, or rehabilitation of affordable housing, and to provide direct rental assistance.

    Please note that this version of the data does not include Community Planning and Development (CPD) entitlement grantees. LED data for CPD entitlement areas can be obtained from the LED for CDBG Grantee Areas feature service.

    To learn more about the Local Employment Dynamics (LED) Partnership visit: https://lehd.ces.census.gov/, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_LED for HOME Grantee Areas

    Date of Coverage: HOME-2021/LED-2018

  4. A

    ‘Residential Existing Homes (One-to-Four Units) Energy Efficiency Projects...

    • analyst-2.ai
    Updated Sep 15, 2019
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2019). ‘Residential Existing Homes (One-to-Four Units) Energy Efficiency Projects for Households with Income up to 60% State Median Income: Beginning January 2018’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-residential-existing-homes-one-to-four-units-energy-efficiency-projects-for-households-with-income-up-to-60-state-median-income-beginning-january-2018-d355/dcfb2bbf/?iid=013-434&v=presentation
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    Dataset updated
    Sep 15, 2019
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘Residential Existing Homes (One-to-Four Units) Energy Efficiency Projects for Households with Income up to 60% State Median Income: Beginning January 2018’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/361fed56-140f-4b31-8092-22e8d4c807a5 on 12 February 2022.

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

    IMPORTANT! PLEASE READ DISCLAIMER BEFORE USING DATA. To reduce the energy burden on income-qualified households within New York State, NYSERDA offers the EmPower New York (EmPower) program, a retrofit program that provides cost-effective electric reduction measures (i.e., primarily lighting and refrigerator replacements), and cost-effective home performance measures (i.e., insulation air sealing, heating system repair and replacments, and health and safety measures) to income qualified homeowners and renters. Home assessments and implementation services are provided by Building Performance Institute (BPI) Goldstar contractors to reduce energy use for low income households. This data set includes energy efficiency projects completed since January 2018 for households with income up to 60% area (county) median income.

    D I S C L A I M E R: Estimated Annual kWh Savings, Estimated Annual MMBtu Savings, and First Year Energy Savings $ Estimate represent contractor reported savings derived from energy modeling software calculations and not actual realized energy savings. The accuracy of the Estimated Annual kWh Savings and Estimated Annual MMBtu Savings for projects has been evaluated by an independent third party. The results of the impact analysis indicate that, on average, actual savings amount to 54 percent of the Estimated Annual kWh Savings and 70 percent of the Estimated Annual MMBtu Savings. The analysis did not evaluate every single project, but rather a sample of projects from 2007 and 2008, so the results are applicable to the population on average but not necessarily to any individual project which could have over or under achieved in comparison to the evaluated savings. The results from the impact analysis will be updated when more recent information is available. Some reasons individual households may realize savings different from those projected include, but are not limited to, changes in the number or needs of household members, changes in occupancy schedules, changes in energy usage behaviors, changes to appliances and electronics installed in the home, and beginning or ending a home business. For more information, please refer to the Evaluation Report published on NYSERDA’s website at: https://www.nyserda.ny.gov/-/media/Files/Publications/PPSER/Program-Evaluation/2012ContractorReports/2012-EmPower-New-York-Impact-Report.pdf.

    This dataset includes the following data points for projects completed after January 1, 2018: Reporting Period, Project ID, Project County, Project City, Project ZIP, Gas Utility, Electric Utility, Project Completion Date, Total Project Cost (USD), Pre-Retrofit Home Heating Fuel Type, Year Home Built, Size of Home, Number of Units, Job Type, Type of Dwelling, Measure Type, Estimated Annual kWh Savings, Estimated Annual MMBtu Savings, First Year Modeled Energy Savings $ Estimate (USD).

    How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov.

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

  5. Well-Being and Basic Needs Survey, United States, 2018

    • icpsr.umich.edu
    ascii, delimited, r +3
    Updated Mar 15, 2023
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    Zuckerman, Stephen (2023). Well-Being and Basic Needs Survey, United States, 2018 [Dataset]. http://doi.org/10.3886/ICPSR37653.v2
    Explore at:
    spss, delimited, stata, sas, r, asciiAvailable download formats
    Dataset updated
    Mar 15, 2023
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Zuckerman, Stephen
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/37653/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/37653/terms

    Time period covered
    Jan 1, 2018 - Dec 31, 2018
    Area covered
    United States
    Description

    In December 2017, the Urban Institute launched the Well-Being and Basic Needs Survey (WBNS), a nationally representative, internet-based survey of nonelderly adults designed to monitor changes in individual and family well-being during a time when policymakers are considering significant changes to federal safety net programs serving low-income families. The 2018 round of the survey collects information on a broad array of topics related to health, material hardship, and the safety net, including health insurance, housing, food security, employment, family income, program participation, family financial security, disability, discrimination, substance use disorder, and immigration issues.

  6. u

    2018 Statistics Canada – Canadian Housing Statistics Program 46-10-0049-01:...

    • open.library.ubc.ca
    • borealisdata.ca
    Updated Feb 25, 2020
    + more versions
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    Statistics Canada (2020). 2018 Statistics Canada – Canadian Housing Statistics Program 46-10-0049-01: Total family income and owner characteristics at the residential property level [Dataset]. http://doi.org/10.14288/1.0388709
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    Dataset updated
    Feb 25, 2020
    Authors
    Statistics Canada
    Time period covered
    Dec 31, 2018
    Area covered
    British Columbia
    Description

    This dataset includes Statistics Canada table 46-10-0049-01, titled “Total family income and owner characteristics at the residential property level”.

    The dataset has been split up into three tables:
    Table A includes the number of properties and average assessment value of properties by the property type (eg. detached house, condominium), and by family type (lone-parent family, couple family, and other census family).
    Table B includes includes the number of properties and average assessment value of properties by the property type (eg. detached house, condominium), and by pension income categories (eg. whether or not the owner of the property is receiving a pension).
    Table C includes includes includes the number of properties and average assessment value of properties by the property type (eg. detached house, condominium), and by residency participation types (eg. whether the property is owned by resident owners only or a mix of resident and non-resident owners).

    The table has been edited to include only geographies from British Columbia and to have the unique ID numbers added to the Census Subdivisions and Census Metropolitan Areas. The table is available in CSV and Excel Workbook format. Definitions and notes are included at the bottom of the spreadsheet.

    This data set was collected as part of the Canadian Housing Statistics Program by Statistics Canada.

    Geographies:
    British Columbia, Abbotsford-Mission, census metropolitan area, Abbotsford, Mission, Kelowna, census metropolitan area, Central Okanagan, Central Okanagan J, Kelowna, Lake Country, Peachland, West Kelowna, Vancouver, census metropolitan area, Anmore, Belcarra, Bowen Island, Burnaby, Coquitlam, Delta, Langley, city, Langley, municipal district, Lions Bay, Maple Ridge, Metro Vancouver A, New Westminster, North Vancouver, city, North Vancouver, municipal district, Pitt Meadows, Port Coquitlam, Port Moody, Richmond, Surrey, Vancouver, West Vancouver, White Rock, Victoria, census metropolitan area, Central Saanich, Colwood, Esquimalt, Highlands, Juan de Fuca (Part 1), Langford, Metchosin, North Saanich, Oak Bay, Saanich, Sidney, Sooke, Victoria, View Royal, British Columbia, outside of census metropolitan areas, Alberni-Clayoquot A, Alberni-Clayoquot B, Alberni-Clayoquot C, Alberni-Clayoquot D, Alberni-Clayoquot E, Alberni-Clayoquot F, Alert Bay, Armstrong, Ashcroft, Barriere, Bulkley-Nechako A, Bulkley-Nechako B, Bulkley-Nechako C, Bulkley-Nechako D, Bulkley-Nechako E, Bulkley-Nechako F, Bulkley-Nechako G, Burns Lake, Cache Creek, Campbell River, Canal Flats, Cariboo A, Cariboo B, Cariboo C, Cariboo D, Cariboo E, Cariboo F, Cariboo G, Cariboo H, Cariboo I, Cariboo J, Cariboo K, Cariboo L, Castlegar, Central Coast A, Central Coast C, Central Coast D, Central Coast E, Central Kootenay A, Central Kootenay B, Central Kootenay C, Central Kootenay D, Central Kootenay E, Central Kootenay F, Central Kootenay G, Central Kootenay H, Central Kootenay I, Central Kootenay J, Central Kootenay K, Chase, Chetwynd, Chilliwack, Clearwater, Clinton, Coldstream, Columbia-Shuswap A, Columbia-Shuswap B, Columbia-Shuswap C, Columbia-Shuswap D, Columbia-Shuswap E, Columbia-Shuswap F, Comox, Comox Valley A, Comox Valley B (Lazo North), Comox Valley C (Puntledge - Black Creek), Courtenay, Cowichan Valley A, Cowichan Valley B, Cowichan Valley C, Cowichan Valley D, Cowichan Valley E, Cowichan Valley F, Cowichan Valley G, Cowichan Valley H, Cowichan Valley I, Cranbrook, Creston, Cumberland, Dawson Creek, Duncan, East Kootenay A, East Kootenay B, East Kootenay C, East Kootenay E, East Kootenay F, East Kootenay G, Elkford, Enderby, Fernie, Fort St. James, Fort St. John, Fraser Lake, Fraser Valley A, Fraser Valley B, Fraser Valley C, Fraser Valley D, Fraser Valley E, Fraser Valley F, Fraser Valley G, Fraser Valley H, Fraser-Fort George A, Fraser-Fort George C, Fraser-Fort George D, Fraser-Fort George E, Fraser-Fort George F, Fraser-Fort George G, Fraser-Fort George H, Fruitvale, Gibsons, Gold River, Golden, Grand Forks, Granisle, Greenwood, Harrison Hot Springs, Hazelton, Hope, Houston, Hudson's Hope, Invermere, Juan de Fuca (Part 2), Kamloops, Kaslo, Kent, Keremeos, Kimberley, Kitimat, Kitimat-Stikine A, Kitimat-Stikine B, Kitimat-Stikine C (Part 1), Kitimat-Stikine C (Part 2), Kitimat-Stikine D, Kitimat-Stikine E, Kitimat-Stikine F, Kootenay Boundary A, Kootenay Boundary B / Lower Columbia-Old-Glory, Kootenay Boundary C / Christina Lake, Kootenay Boundary D / Rural Grand Forks, Kootenay Boundary E / West Boundary, Ladysmith, Lake Cowichan, Lantzville, Lillooet, Logan Lake, Lumby, Lytton, Mackenzie, Masset, McBride, Merritt, Midway, Montrose, Mount Waddington A, Mount Waddington B, Mount Waddington C, Mount Waddington D, Nakusp, Nanaimo, Nanaimo A, Nanaimo B, Nanaimo C, Nanaimo E, Nanaimo F, Nanaimo G, Nanaimo H, Nelson, New Denver, New Hazelton, North Coast A, North Coast C, North Coast D, North Coast E, North Cowichan, North Okanagan B, North Okanagan C, North Okanagan D, North Okanagan E, North Okanagan F, Northern Rockies, Okanagan-Similkameen A, Okanagan-Similkameen B, Okanagan-Similkameen C, Okanagan-Similkameen D, Okanagan-Similkameen E, Okanagan-Similkameen F, Okanagan-Similkameen G, Okanagan-Similkameen H, Oliver, One Hundred Mile House, Osoyoos, Parksville, Peace River B, Peace River C, Peace River D, Peace River E, Pemberton, Penticton, Port Alberni, Port Alice, Port Clements, Port Edward, Port Hardy, Port McNeill, Pouce Coupe, Powell River, Powell River A, Powell River B, Powell River C, Powell River D, Powell River E, Prince George, Prince Rupert, Princeton, Qualicum Beach, Queen Charlotte, Quesnel, Radium Hot Springs, Revelstoke, Rossland, Salmo, Salmon Arm, Saltspring Island, Sayward, Sechelt, Sicamous, Silverton, Slocan, Smithers, Southern Gulf Islands, Spallumcheen, Sparwood, Squamish, Squamish-Lillooet A, Squamish-Lillooet B, Squamish-Lillooet C, Squamish-Lillooet D, Stewart, Stikine Region, Strathcona A, Strathcona B, Strathcona C, Strathcona D (Oyster Bay - Buttle Lake), Summerland, Sun Peaks Mountain, Sunshine Coast A, Sunshine Coast B, Sunshine Coast D, Sunshine Coast E, Sunshine Coast F, Tahsis, Taylor, Telkwa, Terrace, Thompson-Nicola A (Wells Gray Country), Thompson-Nicola B (Thompson Headwaters), Thompson-Nicola E (Bonaparte Plateau), Thompson-Nicola I (Blue Sky Country), Thompson-Nicola J (Copper Desert Country), Thompson-Nicola L (Grasslands), Thompson-Nicola M (Beautiful Nicola Valley - North), Thompson-Nicola N (Beautiful Nicola Valley - South), Thompson-Nicola O (Lower North Thompson), Thompson-Nicola P (Rivers and the Peaks), Tofino, Trail, Tumbler Ridge, Ucluelet, Valemount, Vanderhoof, Vernon, Warfield, Wells, Whistler, Williams Lake, Zeballos

  7. u

    2018 Statistics Canada – Canadian Housing Statistics Program 46-10-0048-01:...

    • open.library.ubc.ca
    • borealisdata.ca
    Updated Feb 25, 2020
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    Statistics Canada (2020). 2018 Statistics Canada – Canadian Housing Statistics Program 46-10-0048-01: Total income and characteristics of single-property owners by home buyers’ amount (HBA) claimant status [Dataset]. http://doi.org/10.14288/1.0388707
    Explore at:
    Dataset updated
    Feb 25, 2020
    Authors
    Statistics Canada
    Time period covered
    Dec 31, 2018
    Area covered
    Canada, British Columbia
    Description

    This dataset includes Statistics Canada table 46-10-0048-01, titled “Total income and characteristics of single-property owners by home buyers’ amount (HBA) claimant status”.

    The table has been edited to include only geographies from British Columbia and to have the unique ID numbers added to the Census Metropolitan Areas. The table is available in CSV and Excel Workbook format. Definitions and notes are included at the bottom of the spreadsheet.

    This data set was collected as part of the Canadian Housing Statistics Program by Statistics Canada.

    Geographies:
    British Columbia, Abbotsford-Mission, census metropolitan area, Kelowna, census metropolitan area, Vancouver, census metropolitan area, Victoria, census metropolitan area, British Columbia - Outside of census metropolitan areas

  8. a

    Economic Incentive Areas

    • hub.arcgis.com
    Updated Jul 18, 2018
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    The City of Fort Myers Florida GIS (2018). Economic Incentive Areas [Dataset]. https://hub.arcgis.com/datasets/01b03064753a474288a7a1cf90125451
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    Dataset updated
    Jul 18, 2018
    Dataset authored and provided by
    The City of Fort Myers Florida GIS
    Area covered
    Description

    This layer is a combination of multiple incentive areas used in the Development Assistance map.The New Markets Tax Credit Program incentivizes community development and economic growth through the use of tax credits that attract private investment to distressed communities. Through the NMTC Program, the CDFI Fund allocates tax credit authority to Community Development Entities (CDEs) through a competitive application process. CDEs are financial intermediaries through which private capital flows from an investor to a qualified business located in a low-income community. CDEs use their authority to offer tax credits to investors in exchange for equity in the CDE. Using the capital from these equity investments, CDEs can make loans and investments to businesses operating in low-income communities on better rates and terms and more flexible features than the market. Derived from 2011-2015 Census Tracts per CDFI Fund CIMS mapping tool."The Opportunity Zones program provides tax incentives, including a temporary deferral on capital gains taxes, when investors reinvest those gains in qualified Opportunity Funds. The funds must in turn invest in low-income communities from designated census tracts, called Opportunity Zones." - Florida Department of Economic Opportunity"The U.S. Department of Housing and Urban Development (HUD) encourages the establishment of a Neighborhood Revitalization Strategy Area (NRSA) as a means to create communities of opportunity in distressed neighborhoods. The goal of this program is to reinvest in human and economic capital, and economically empower low-income residents as part of an overall community revitalization strategy. Comprehensive community revitalization strategies seek to create partnerships among federal and local governments, the private sector, community organizations and neighborhood residents." - City of Fort Myers Florida Neighborhood Revitalization Strategy Areas Plan"The Community Contribution Tax Credit Program provides a financial incentive (up to 50 percent tax credit or sales tax refund) to encourage Florida businesses to make donations toward community development and housing projects for low-income persons." - Florida Department of Economic Opportunity In the project area, the City will acquire vacant lots and partner with non-profit and for profit affordable home builders to construct homes for low income residents. The CCTC program enables the City to continue to revitalize the area by having the ability to solicit donations from eligible businesses. The City will use the donations for acquisition and construction of homes for low income residents.Created 4/27/2018.

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data.ny.gov (2024). Residential Existing Homes (One-to-Four Units) Energy Efficiency Projects for Households with Income up to 60% State Median Income: Beginning January 2018 [Dataset]. https://catalog.data.gov/dataset/residential-existing-homes-one-to-four-units-energy-efficiency-projects-for-households-wit

Residential Existing Homes (One-to-Four Units) Energy Efficiency Projects for Households with Income up to 60% State Median Income: Beginning January 2018

Explore at:
Dataset updated
Jan 26, 2024
Dataset provided by
data.ny.gov
Description

IMPORTANT! PLEASE READ DISCLAIMER BEFORE USING DATA. To reduce the energy burden on income-qualified households within New York State, NYSERDA offers the EmPower New York (EmPower) program, a retrofit program that provides cost-effective electric reduction measures (i.e., primarily lighting and refrigerator replacements), and cost-effective home performance measures (i.e., insulation air sealing, heating system repair and replacments, and health and safety measures) to income qualified homeowners and renters. Home assessments and implementation services are provided by Building Performance Institute (BPI) Goldstar contractors to reduce energy use for low income households. This data set includes energy efficiency projects completed since January 2018 for households with income up to 60% area (county) median income. D I S C L A I M E R: Estimated Annual kWh Savings, Estimated Annual MMBtu Savings, and First Year Energy Savings $ Estimate represent contractor reported savings derived from energy modeling software calculations and not actual realized energy savings. The accuracy of the Estimated Annual kWh Savings and Estimated Annual MMBtu Savings for projects has been evaluated by an independent third party. The results of the impact analysis indicate that, on average, actual savings amount to 54 percent of the Estimated Annual kWh Savings and 70 percent of the Estimated Annual MMBtu Savings. The analysis did not evaluate every single project, but rather a sample of projects from 2007 and 2008, so the results are applicable to the population on average but not necessarily to any individual project which could have over or under achieved in comparison to the evaluated savings. The results from the impact analysis will be updated when more recent information is available. Some reasons individual households may realize savings different from those projected include, but are not limited to, changes in the number or needs of household members, changes in occupancy schedules, changes in energy usage behaviors, changes to appliances and electronics installed in the home, and beginning or ending a home business. For more information, please refer to the Evaluation Report published on NYSERDA’s website at: https://www.nyserda.ny.gov/-/media/Files/Publications/PPSER/Program-Evaluation/2012ContractorReports/2012-EmPower-New-York-Impact-Report.pdf. This dataset includes the following data points for projects completed after January 1, 2018: Reporting Period, Project ID, Project County, Project City, Project ZIP, Gas Utility, Electric Utility, Project Completion Date, Total Project Cost (USD), Pre-Retrofit Home Heating Fuel Type, Year Home Built, Size of Home, Number of Units, Job Type, Type of Dwelling, Measure Type, Estimated Annual kWh Savings, Estimated Annual MMBtu Savings, First Year Modeled Energy Savings $ Estimate (USD). How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov.

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