10 datasets found
  1. d

    Federal Tax Lien Data | IRS Tax Lien Data | Unsecured Liens | Bulk + API |...

    • datarade.ai
    .json, .csv, .xls
    Updated Mar 15, 2025
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    CompCurve (2025). Federal Tax Lien Data | IRS Tax Lien Data | Unsecured Liens | Bulk + API | 25,000 New IRS Liens per Year [Dataset]. https://datarade.ai/data-products/federal-tax-lien-data-irs-tax-lien-data-unsecured-liens-compcurve
    Explore at:
    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    CompCurve
    Area covered
    United States of America
    Description

    Comprehensive Federal Tax Lien Data by CompCurve Unlock unparalleled insights into tax lien records with CompCurve Federal Tax Lien Data, a robust dataset sourced directly from IRS records. This dataset is meticulously curated to provide detailed information on federal tax liens, unsecured liens, and tax-delinquent properties across the United States. Whether you're a real estate investor, financial analyst, legal professional, or data scientist, this dataset offers a treasure trove of actionable data to fuel your research, decision-making, and business strategies. Available in flexible formats like .json, .csv, and .xls, it’s designed for seamless integration via bulk downloads or API access, ensuring you can harness its power in the way that suits you best.

    IRS Tax Lien Data: Unsecured Liens in Focus At the heart of this offering is the IRS Tax Lien Data, capturing critical details about unsecured federal tax liens. Each record includes key fields such as taxpayer full name, taxpayer address (broken down into street number, street name, city, state, and ZIP), tax type (e.g., payroll taxes under Form 941), unpaid balance, date of assessment, and last day for refiling. Additional fields like serial number, document ID, and lien unit phone provide further granularity, making this dataset a goldmine for tracking tax liabilities. With a history spanning 5 years, this data offers a longitudinal view of tax lien trends, enabling users to identify patterns, assess risk, and uncover opportunities in the tax lien market.

    Detailed Field Breakdown for Precision Analysis The Federal Tax Lien Data is structured with precision in mind. Every record includes a document_id (e.g., 2025200700126004) as a unique identifier, alongside the IRS-assigned serial_number (e.g., 510034325). Taxpayer details are comprehensive, featuring full name (e.g., CASTLE HILL DRUGS INC), and, where applicable, parsed components like first name, middle name, last name, and suffix. Address fields are equally detailed, with street number, street name, unit, city, state, ZIP, and ZIP+4 providing pinpoint location accuracy. Financial fields such as unpaid balance (e.g., $15,704.43) and tax period ending (e.g., 09/30/2024) offer a clear picture of tax debt, while place of filing and prepared_at_location tie the data to specific jurisdictions and IRS offices.

    National Coverage and Historical Depth Spanning the entire United States, this dataset ensures national coverage, making it an essential resource for anyone needing a coast-to-coast perspective on federal tax liens. With 5 years of historical data, users can delve into past tax lien activity, track refiling deadlines (e.g., 01/08/2035), and analyze how tax debts evolve over time. This historical depth is ideal for longitudinal studies, predictive modeling, or identifying chronic tax delinquents—key use cases for real estate professionals, lien investors, and compliance experts.

    Expanded Offerings: Secured Real Property Tax Liens Beyond unsecured IRS liens, CompCurve enhances its portfolio with the Real Property Tax Lien File, focusing on secured liens tied to real estate. This dataset includes detailed records of property tax liens, featuring fields like tax year, lien year, lien number, sale date, interest rate, and total due. Property-specific data such as property address, APN (Assessor’s Parcel Number), FIPS code, and property type ties liens directly to physical assets. Ownership details—including owner first name, last name, mailing address, and owner-occupied status—add further context, while financial metrics like face value, tax amount, and estimated equity empower users to assess investment potential.

    Tax Delinquent Properties: A Wealth of Insights The Real Property Tax Delinquency File rounds out this offering, delivering a deep dive into tax-delinquent properties. With fields like tax delinquent flag, total due, years delinquent, and delinquent years, this dataset identifies properties at risk of lien escalation or foreclosure. Additional indicators such as bankruptcy flag, foreclosure flag, tax deed status, and payment plan flag provide a multi-dimensional view of delinquency status. Property details—property class, building sqft, bedrooms, bathrooms, and estimated value—combined with ownership and loan data (e.g., total open loans, estimated LTV) make this a powerhouse for real estate analysis, foreclosure tracking, and tax lien investment.

    Versatile Formats and Delivery Options CompCurve ensures accessibility with data delivered in .json, .csv, and .xls formats, catering to a wide range of technical needs. Whether you prefer bulk downloads for offline analysis or real-time API access for dynamic applications, this dataset adapts to your workflow. The structured fields and consistent data types—such as varchar, decimal, date, and boolean—ensure compatibility with databases, spreadsheets, and programming environments, making it easy to integrate into your ...

  2. M

    Metro Regional Parcel Dataset - (Updated Quarterly)

    • gisdata.mn.gov
    ags_mapserver, fgdb +4
    Updated Apr 19, 2025
    + more versions
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    MetroGIS (2025). Metro Regional Parcel Dataset - (Updated Quarterly) [Dataset]. https://gisdata.mn.gov/dataset/us-mn-state-metrogis-plan-regional-parcels
    Explore at:
    fgdb, gpkg, html, shp, jpeg, ags_mapserverAvailable download formats
    Dataset updated
    Apr 19, 2025
    Dataset provided by
    MetroGIS
    Description

    This dataset includes all 7 metro counties that have made their parcel data freely available without a license or fees.

    This dataset is a compilation of tax parcel polygon and point layers assembled into a common coordinate system from Twin Cities, Minnesota metropolitan area counties. No attempt has been made to edgematch or rubbersheet between counties. A standard set of attribute fields is included for each county. The attributes are the same for the polygon and points layers. Not all attributes are populated for all counties.

    NOTICE: The standard set of attributes changed to the MN Parcel Data Transfer Standard on 1/1/2019.
    https://www.mngeo.state.mn.us/committee/standards/parcel_attrib/parcel_attrib.html

    See section 5 of the metadata for an attribute summary.

    Detailed information about the attributes can be found in the Metro Regional Parcel Attributes document.

    The polygon layer contains one record for each real estate/tax parcel polygon within each county's parcel dataset. Some counties have polygons for each individual condominium, and others do not. (See Completeness in Section 2 of the metadata for more information.) The points layer includes the same attribute fields as the polygon dataset. The points are intended to provide information in situations where multiple tax parcels are represented by a single polygon. One primary example of this is the condominium, though some counties stacked polygons for condos. Condominiums, by definition, are legally owned as individual, taxed real estate units. Records for condominiums may not show up in the polygon dataset. The points for the point dataset often will be randomly placed or stacked within the parcel polygon with which they are associated.

    The polygon layer is broken into individual county shape files. The points layer is provided as both individual county files and as one file for the entire metro area.

    In many places a one-to-one relationship does not exist between these parcel polygons or points and the actual buildings or occupancy units that lie within them. There may be many buildings on one parcel and there may be many occupancy units (e.g. apartments, stores or offices) within each building. Additionally, no information exists within this dataset about residents of parcels. Parcel owner and taxpayer information exists for many, but not all counties.

    This is a MetroGIS Regionally Endorsed dataset.

    Additional information may be available from each county at the links listed below. Also, any questions or comments about suspected errors or omissions in this dataset can be addressed to the contact person at each individual county.

    Anoka = http://www.anokacounty.us/315/GIS
    Caver = http://www.co.carver.mn.us/GIS
    Dakota = http://www.co.dakota.mn.us/homeproperty/propertymaps/pages/default.aspx
    Hennepin = https://gis-hennepin.hub.arcgis.com/pages/open-data
    Ramsey = https://www.ramseycounty.us/your-government/open-government/research-data
    Scott = http://opendata.gis.co.scott.mn.us/
    Washington: http://www.co.washington.mn.us/index.aspx?NID=1606

  3. a

    HennCarv Parcels

    • umn.hub.arcgis.com
    Updated Jul 1, 2019
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    University of Minnesota (2019). HennCarv Parcels [Dataset]. https://umn.hub.arcgis.com/maps/UMN::henncarv-parcels
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    Dataset updated
    Jul 1, 2019
    Dataset authored and provided by
    University of Minnesota
    Area covered
    Description

    This dataset includes all 7 metro counties that have made their parcel data freely available without a license or fees. This dataset is a compilation of tax parcel polygon and point layers assembled into a common coordinate system from Twin Cities, Minnesota metropolitan area counties. No attempt has been made to edgematch or rubbersheet between counties. A standard set of attribute fields is included for each county. The attributes are the same for the polygon and points layers. Not all attributes are populated for all counties. NOTICE: The standard set of attributes changed to the MN Parcel Data Transfer Standard on 1/1/2019. https://www.mngeo.state.mn.us/committee/standards/parcel_attrib/parcel_attrib.html See section 5 of the metadata for an attribute summary. Detailed information about the attributes can be found in the Metro Regional Parcel Attributes document. The polygon layer contains one record for each real estate/tax parcel polygon within each county's parcel dataset. Some counties have polygons for each individual condominium, and others do not. (See Completeness in Section 2 of the metadata for more information.) The points layer includes the same attribute fields as the polygon dataset. The points are intended to provide information in situations where multiple tax parcels are represented by a single polygon. One primary example of this is the condominium, though some counties stacked polygons for condos. Condominiums, by definition, are legally owned as individual, taxed real estate units. Records for condominiums may not show up in the polygon dataset. The points for the point dataset often will be randomly placed or stacked within the parcel polygon with which they are associated. The polygon layer is broken into individual county shape files. The points layer is provided as both individual county files and as one file for the entire metro area. In many places a one-to-one relationship does not exist between these parcel polygons or points and the actual buildings or occupancy units that lie within them. There may be many buildings on one parcel and there may be many occupancy units (e.g. apartments, stores or offices) within each building. Additionally, no information exists within this dataset about residents of parcels. Parcel owner and taxpayer information exists for many, but not all counties. This is a MetroGIS Regionally Endorsed dataset. Additional information may be available from each county at the links listed below. Also, any questions or comments about suspected errors or omissions in this dataset can be addressed to the contact person at each individual county. Anoka = http://www.anokacounty.us/315/GIS Caver = http://www.co.carver.mn.us/GIS Dakota = http://www.co.dakota.mn.us/homeproperty/propertymaps/pages/default.aspx Hennepin = http://www.hennepin.us/gisopendata Ramsey = https://www.ramseycounty.us/your-government/open-government/research-data Scott = http://opendata.gis.co.scott.mn.us/ Washington: http://www.co.washington.mn.us/index.aspx?NID=1606

  4. M

    MetroGIS Regional Parcel Dataset (Year End 2004)

    • gisdata.mn.gov
    • data.wu.ac.at
    ags_mapserver, fgdb +4
    Updated Apr 6, 2024
    + more versions
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    MetroGIS (2024). MetroGIS Regional Parcel Dataset (Year End 2004) [Dataset]. https://gisdata.mn.gov/dataset/us-mn-state-metrogis-plan-regonal-parcels-2004
    Explore at:
    html, gpkg, shp, fgdb, jpeg, ags_mapserverAvailable download formats
    Dataset updated
    Apr 6, 2024
    Dataset provided by
    MetroGIS
    Description

    This dataset is a compilation of tax parcel polygon and point layers from the seven Twin Cities, Minnesota metropolitan area counties of Anoka, Carver, Dakota, Hennepin, Ramsey, Scott and Washington. The seven counties were assembled into a common coordinate system. No attempt has been made to edgematch or rubbersheet between counties. A standard set of attribute fields is included for each county. (See section 5 of the metadata). The attributes are the same for the polygon and points layers. Not all attributes are populated for all counties.

    This is an annual version of the MetroGIS Regional Parcel Dataset that can be used with other annual versions to do change analysis and time series investigations. This dataset is intended to contain all updates to each county's parcel data through the end of 2004. It was originally published as the 'January 1, 2005' version of the dataset. See the Currentness Reference below and the Entity and Attribute information in Section 5 for more information about the dates for specific aspects of the dataset.

    The polygon layer contains one record for each real estate/tax parcel polygon within each county's parcel dataset. Some counties will polygons for each individual condominium, and others do not. (See Completeness in Section 2 of the metadata for more information.) The points layer includes the same attribute fields as the polygon dataset. The points are intended to provide information in situations where multiple tax parcels are represented by a single polygon. The primary example of this is the condominium. Condominiums, by definition, are legally owned as individual, taxed real estate units. Records for condominiums may not show up in the polygon dataset. The points for the point dataset often will be randomly placed or stacked within the parcel polygon with which they are associated.

    The polygon layer is broken into individual county shape files. The points layer is one file for the entire metro area.

    In many places a one-to-one relationship does not exist between these parcel polygons or points and the actual buildings or occupancy units that lie within them. There may be many buildings on one parcel and there may be many occupancy units (e.g. apartments, stores or offices) within each building. Additionally, no information exists within this dataset about residents of parcels. Parcel owner and taxpayer information exists for many, but not all counties.

    Polygon and point counts for each county are as follows (based on the January, 2005 dataset):

    Anoka = 124,042 polygons, 124,042 points
    Carver = 32,910 polygons, 32,910 points
    Dakota = 130,989 polygons, 141,444 points
    Hennepin = 353,759 polygons, 399,184 points
    Ramsey = 148,266 polygons, 163,376 points
    Scott = 49,958 polygons, 49,958 points
    Washington = 93,794 polygons, 96,570 points

    This is a MetroGIS Regionally Endorsed dataset.

    Each of the seven Metro Area counties has entered into a multiparty agreement with the Metropolitan Council to assemble and distribute the parcel data for each county as a regional (seven county) parcel dataset.

    A standard set of attribute fields is included for each county. The attributes are identical for the point and polygon datasets. Not all attributes fields are populated by each county. Detailed information about the attributes can be found in the MetroGIS Regional Parcels Attributes 2004 document.

    Additional information may be available in the individual metadata for each county at the links listed below. Also, any questions or comments about suspected errors or omissions in this dataset can be addressed to the contact person listed in the individual county metadata.

    Anoka = http://www.anokacounty.us/315/GIS

    Caver = http://www.co.carver.mn.us/GIS

    Dakota = http://www.co.dakota.mn.us/homeproperty/propertymaps/pages/default.aspx

    Hennepin: http://www.hennepin.us/gisopendata

    Ramsey = https://www.ramseycounty.us/your-government/open-government/research-data

    Scott = http://www.scottcountymn.gov/1183/GIS-Data-and-Maps

    Washington = http://www.co.washington.mn.us/index.aspx?NID=1606

  5. M

    MetroGIS Regional Parcel Dataset (Year End 2005)

    • gisdata.mn.gov
    ags_mapserver, fgdb +4
    Updated Apr 4, 2024
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    MetroGIS (2024). MetroGIS Regional Parcel Dataset (Year End 2005) [Dataset]. https://gisdata.mn.gov/dataset/us-mn-state-metrogis-plan-regonal-parcels-2005
    Explore at:
    gpkg, shp, jpeg, ags_mapserver, html, fgdbAvailable download formats
    Dataset updated
    Apr 4, 2024
    Dataset provided by
    MetroGIS
    Description

    This dataset is a compilation of tax parcel polygon and point layers from the seven Twin Cities, Minnesota metropolitan area counties of Anoka, Carver, Dakota, Hennepin, Ramsey, Scott and Washington. The seven counties were assembled into a common coordinate system. No attempt has been made to edgematch or rubbersheet between counties. A standard set of attribute fields is included for each county. (See section 5 of the metadata). The attributes are the same for the polygon and points layers. Not all attributes are populated for all counties.

    The polygon layer contains one record for each real estate/tax parcel polygon within each county's parcel dataset. Some counties will polygons for each individual condominium, and others do not. (See Completeness in Section 2 of the metadata for more information.) The points layer includes the same attribute fields as the polygon dataset. The points are intended to provide information in situations where multiple tax parcels are represented by a single polygon. The primary example of this is the condominium. Condominiums, by definition, are legally owned as individual, taxed real estate units. Records for condominiums may not show up in the polygon dataset. The points for the point dataset often will be randomly placed or stacked within the parcel polygon with which they are associated.

    The polygon layer is broken into individual county shape files. The points layer is one file for the entire metro area.

    In many places a one-to-one relationship does not exist between these parcel polygons or points and the actual buildings or occupancy units that lie within them. There may be many buildings on one parcel and there may be many occupancy units (e.g. apartments, stores or offices) within each building. Additionally, no information exists within this dataset about residents of parcels. Parcel owner and taxpayer information exists for many, but not all counties.

    Polygon and point counts for each county are as follows (based on the January, 2005 dataset):

    Anoka = 124,042 polygons, 124,042 points
    Carver = 32,910 polygons, 32,910 points
    Dakota = 130,989 polygons, 141,444 points
    Hennepin = 353,759 polygons, 399,184 points
    Ramsey = 148,266 polygons, 163,376 points
    Scott = 49,958 polygons, 49,958 points
    Washington = 93,794 polygons, 96,570 points

    This is a MetroGIS Regionally Endorsed dataset.

    Each of the seven Metro Area counties has entered into a multiparty agreement with the Metropolitan Council to assemble and distribute the parcel data for each county as a regional (seven county) parcel dataset.

    A standard set of attribute fields is included for each county. The attributes are identical for the point and polygon datasets. Not all attributes fields are populated by each county. Detailed information about the attributes can be found in the MetroGIS Regional Parcels Attributes 2005 document.

    Additional information may be available in the individual metadata for each county at the links listed below. Also, any questions or comments about suspected errors or omissions in this dataset can be addressed to the contact person listed in the individual county metadata.

    Anoka = http://www.anokacounty.us/315/GIS

    Caver = http://www.co.carver.mn.us/GIS

    Dakota = http://www.co.dakota.mn.us/homeproperty/propertymaps/pages/default.aspx

    Hennepin: http://www.hennepin.us/gisopendata

    Ramsey = https://www.ramseycounty.us/your-government/open-government/research-data

    Scott = http://www.scottcountymn.gov/1183/GIS-Data-and-Maps

    Washington = http://www.co.washington.mn.us/index.aspx?NID=1606

  6. M

    Metro Regional Parcel Dataset - Year End 2024

    • gisdata.mn.gov
    ags_mapserver, fgdb +4
    Updated Jan 25, 2025
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    MetroGIS (2025). Metro Regional Parcel Dataset - Year End 2024 [Dataset]. https://gisdata.mn.gov/dataset/us-mn-state-metrogis-plan-regonal-parcels-2024
    Explore at:
    jpeg, shp, html, ags_mapserver, fgdb, gpkgAvailable download formats
    Dataset updated
    Jan 25, 2025
    Dataset provided by
    MetroGIS
    Description

    This dataset includes all 7 metro counties that have made their parcel data freely available without a license or fees.

    This dataset is a compilation of tax parcel polygon and point layers assembled into a common coordinate system from Twin Cities, Minnesota metropolitan area counties. No attempt has been made to edgematch or rubbersheet between counties. A standard set of attribute fields is included for each county. The attributes are the same for the polygon and points layers. Not all attributes are populated for all counties.

    NOTICE: The standard set of attributes changed to the MN Parcel Data Transfer Standard on 1/1/2019.
    https://www.mngeo.state.mn.us/committee/standards/parcel_attrib/parcel_attrib.html

    See section 5 of the metadata for an attribute summary.

    Detailed information about the attributes can be found in the Metro Regional Parcel Attributes document.

    The polygon layer contains one record for each real estate/tax parcel polygon within each county's parcel dataset. Some counties have polygons for each individual condominium, and others do not. (See Completeness in Section 2 of the metadata for more information.) The points layer includes the same attribute fields as the polygon dataset. The points are intended to provide information in situations where multiple tax parcels are represented by a single polygon. One primary example of this is the condominium, though some counties stacked polygons for condos. Condominiums, by definition, are legally owned as individual, taxed real estate units. Records for condominiums may not show up in the polygon dataset. The points for the point dataset often will be randomly placed or stacked within the parcel polygon with which they are associated.

    The polygon layer is broken into individual county shape files. The points layer is provided as both individual county files and as one file for the entire metro area.

    In many places a one-to-one relationship does not exist between these parcel polygons or points and the actual buildings or occupancy units that lie within them. There may be many buildings on one parcel and there may be many occupancy units (e.g. apartments, stores or offices) within each building. Additionally, no information exists within this dataset about residents of parcels. Parcel owner and taxpayer information exists for many, but not all counties.

    This is a MetroGIS Regionally Endorsed dataset.

    Additional information may be available from each county at the links listed below. Also, any questions or comments about suspected errors or omissions in this dataset can be addressed to the contact person at each individual county.

    Anoka = http://www.anokacounty.us/315/GIS
    Caver = http://www.co.carver.mn.us/GIS
    Dakota = http://www.co.dakota.mn.us/homeproperty/propertymaps/pages/default.aspx
    Hennepin = https://gis-hennepin.hub.arcgis.com/pages/open-data
    Ramsey = https://www.ramseycounty.us/your-government/open-government/research-data
    Scott = http://opendata.gis.co.scott.mn.us/
    Washington: http://www.co.washington.mn.us/index.aspx?NID=1606

  7. M

    Metro Regional Parcel Dataset - Year End 2023

    • gisdata.mn.gov
    ags_mapserver, fgdb +2
    Updated Mar 15, 2024
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    MetroGIS (2024). Metro Regional Parcel Dataset - Year End 2023 [Dataset]. https://gisdata.mn.gov/dataset/us-mn-state-metrogis-plan-regonal-parcels-2023
    Explore at:
    jpeg, ags_mapserver, fgdb, htmlAvailable download formats
    Dataset updated
    Mar 15, 2024
    Dataset provided by
    MetroGIS
    Description

    This dataset includes all 7 metro counties that have made their parcel data freely available without a license or fees. This also includes a combined layer of all points of the 7 counties.

    This dataset is a compilation of tax parcel polygon and point layers assembled into a common coordinate system from Twin Cities, Minnesota metropolitan area counties. No attempt has been made to edgematch or rubbersheet between counties. A standard set of attribute fields is included for each county. The attributes are the same for the polygon and points layers. Not all attributes are populated for all counties.

    NOTICE: The standard set of attributes changed to the MN Parcel Data Transfer Standard on 1/1/2019.
    https://www.mngeo.state.mn.us/committee/standards/parcel_attrib/parcel_attrib.html

    See section 5 of the metadata for an attribute summary.

    Detailed information about the attributes can be found in the Metro Regional Parcel Attributes document.

    The polygon layer contains one record for each real estate/tax parcel polygon within each county's parcel dataset. Some counties have polygons for each individual condominium, and others do not. (See Completeness in Section 2 of the metadata for more information.) The points layer includes the same attribute fields as the polygon dataset. The points are intended to provide information in situations where multiple tax parcels are represented by a single polygon. One primary example of this is the condominium, though some counties stacked polygons for condos. Condominiums, by definition, are legally owned as individual, taxed real estate units. Records for condominiums may not show up in the polygon dataset. The points for the point dataset often will be randomly placed or stacked within the parcel polygon with which they are associated.

    The polygon layer is broken into individual county shape files. The points layer is provided as both individual county files and as one file for the entire metro area.

    In many places a one-to-one relationship does not exist between these parcel polygons or points and the actual buildings or occupancy units that lie within them. There may be many buildings on one parcel and there may be many occupancy units (e.g. apartments, stores or offices) within each building. Additionally, no information exists within this dataset about residents of parcels. Parcel owner and taxpayer information exists for many, but not all counties.

    This is a MetroGIS Regionally Endorsed dataset.

    Additional information may be available from each county at the links listed below. Also, any questions or comments about suspected errors or omissions in this dataset can be addressed to the contact person at each individual county.

    Anoka = http://www.anokacounty.us/315/GIS
    Caver = http://www.co.carver.mn.us/GIS
    Dakota = http://www.co.dakota.mn.us/homeproperty/propertymaps/pages/default.aspx
    Hennepin = https://gis-hennepin.hub.arcgis.com/pages/open-data
    Ramsey = https://www.ramseycounty.us/your-government/open-government/research-data
    Scott = http://opendata.gis.co.scott.mn.us/
    Washington: http://www.co.washington.mn.us/index.aspx?NID=1606

  8. o

    Data from: IRA Energy Community Data Layers

    • osti.gov
    Updated Apr 4, 2023
    + more versions
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    Energy, U S Department of (2023). IRA Energy Community Data Layers [Dataset]. https://www.osti.gov/dataexplorer/biblio/dataset/1967447
    Explore at:
    Dataset updated
    Apr 4, 2023
    Dataset provided by
    USDOE Office of Fossil Energy (FE)
    National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States). Energy Data eXchange; National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV (United States)
    Authors
    Energy, U S Department of
    Description

    Data, geospatial data resources, and the linked mapping tool and web services reflect data for two types of potentially qualifying energy communities: 1) Census tracts and directly adjoining tracts that have had coal mine closures since 1999 or coal-fired electric generating unit retirements since 2009. These census tracts qualify as energy communities. 2) Metropolitan statistical areas (MSAs) and non-metropolitan statistical areas (non-MSAs) that are energy communities for 2023 and 2024, along with their fossil fuel employment (FFE) status. Additional information on energy communities and related tax credits can be accessed on the Interagency Working Group on Coal & Power Plant Communities & Economic Revitalization Energy Communities website (https://energycommunities.gov/energy-community-tax-credit-bonus/). Use limitations: these spatial data and mapping tool may not be relied upon by taxpayers to substantiate a tax return position or for determining whether certain penalties apply and will not be used by the IRS for examination purposes. The mapping tool does not reflect the application of the law to a specific taxpayer’s situation, and the applicable Internal Revenue Code provisions ultimately control.

  9. M

    MetroGIS Regional Parcel Dataset (Year End 2015)

    • gisdata.mn.gov
    ags_mapserver, fgdb +4
    Updated Mar 22, 2024
    + more versions
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    MetroGIS (2024). MetroGIS Regional Parcel Dataset (Year End 2015) [Dataset]. https://gisdata.mn.gov/dataset/us-mn-state-metrogis-plan-regonal-parcels-2015
    Explore at:
    jpeg, fgdb, gpkg, html, shp, ags_mapserverAvailable download formats
    Dataset updated
    Mar 22, 2024
    Dataset provided by
    MetroGIS
    Description

    This dataset is a compilation of tax parcel polygon and point layers from the seven Twin Cities, Minnesota metropolitan area counties of Anoka, Carver, Dakota, Hennepin, Ramsey, Scott and Washington. The seven counties were assembled into a common coordinate system. No attempt has been made to edgematch or rubbersheet between counties. A standard set of attribute fields is included for each county. (See section 5 of the metadata). The attributes are the same for the polygon and points layers. Not all attributes are populated for all counties.

    The polygon layer contains one record for each real estate/tax parcel polygon within each county's parcel dataset. Some counties have polygons for each individual condominium, and others do not. (See Completeness in Section 2 of the metadata for more information.) The points layer includes the same attribute fields as the polygon dataset. The points are intended to provide information in situations where multiple tax parcels are represented by a single polygon. The primary example of this is the condominium, though some counties stacked polygons for condos. Condominiums, by definition, are legally owned as individual, taxed real estate units. Records for condominiums may not show up in the polygon dataset. The points for the point dataset often will be randomly placed or stacked within the parcel polygon with which they are associated.

    The polygon layer is broken into individual county shape files. The points layer is provided as both individual county files and as one file for the entire metro area.

    In many places a one-to-one relationship does not exist between these parcel polygons or points and the actual buildings or occupancy units that lie within them. There may be many buildings on one parcel and there may be many occupancy units (e.g. apartments, stores or offices) within each building. Additionally, no information exists within this dataset about residents of parcels. Parcel owner and taxpayer information exists for many, but not all counties.

    Polygon and point counts for each county are as follows (Updated annually, current as of 1/08/2016):

    polygons / points
    Anoka - 131121 / 131121
    Carver - 40510 / 40509
    Dakota - 140770 / 154109
    Hennepin - 429241 / 429241
    Ramsey - 154512 / 166225
    Scott - 56219 / 56219
    Washington - 106045 / 106045

    This is a MetroGIS Regionally Endorsed dataset.

    Each of the seven Metro Area counties has entered into a multiparty agreement with the Metropolitan Council to assemble and distribute the parcel data for each county as a regional (seven county) parcel dataset.

    A standard set of attribute fields is included for each county. The attributes are identical for the point and polygon datasets. Not all attributes fields are populated by each county. Detailed information about the attributes can be found in the MetroGIS Regional Parcels Attributes 2015 document.

    Additional information may be available in the individual metadata for each county at the links listed below. Also, any questions or comments about suspected errors or omissions in this dataset can be addressed to the contact person listed in the individual county metadata.

    Anoka = http://www.anokacounty.us/315/GIS

    Caver = http://www.co.carver.mn.us/GIS

    Dakota = http://www.co.dakota.mn.us/homeproperty/propertymaps/pages/default.aspx

    Hennepin: http://www.hennepin.us/gisopendata

    Ramsey = https://www.ramseycounty.us/your-government/open-government/research-data

    Scott = http://www.scottcountymn.gov/1183/GIS-Data-and-Maps

    Washington = http://www.co.washington.mn.us/index.aspx?NID=1606

  10. M

    Tax Parcels - Points, Lines and Polygons, Dakota County, Minnesota

    • gisdata.mn.gov
    cad, fgdb, gpkg, html +2
    Updated Jun 21, 2025
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    Dakota County (2025). Tax Parcels - Points, Lines and Polygons, Dakota County, Minnesota [Dataset]. https://gisdata.mn.gov/dataset/us-mn-co-dakota-plan-parcels
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    gpkg, html, cad, shp, jpeg, fgdbAvailable download formats
    Dataset updated
    Jun 21, 2025
    Dataset provided by
    Dakota County
    Area covered
    Minnesota, Dakota County
    Description

    This dataset is a compilation of tax parcel information for Dakota County, MNThe layer contains one record for each real estate/tax parcel polygon within the county. Condominiums are not included in the polygon layer. If condominiums are desired, use the tax parcel point layer in combination with this polygon layer.In many places a one-to-one relationship does not exist between these parcel polygons and the actual buildings or occupancy units that lie within them. There may be many buildings on one parcel and there may be many occupancy units (e.g. apartments, stores or offices) within each building. Additionally, no information exists within this dataset about residents of parcels. Currently, only tax parcel ownership (and taxpayer information) is displayed for this dataset.
    Tax Parcel - Polygons
    Tax Parcel - Points
    Tax Parcel - Lines

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    Learn how you can add new datasets to our index.

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CompCurve (2025). Federal Tax Lien Data | IRS Tax Lien Data | Unsecured Liens | Bulk + API | 25,000 New IRS Liens per Year [Dataset]. https://datarade.ai/data-products/federal-tax-lien-data-irs-tax-lien-data-unsecured-liens-compcurve

Federal Tax Lien Data | IRS Tax Lien Data | Unsecured Liens | Bulk + API | 25,000 New IRS Liens per Year

Explore at:
.json, .csv, .xlsAvailable download formats
Dataset updated
Mar 15, 2025
Dataset authored and provided by
CompCurve
Area covered
United States of America
Description

Comprehensive Federal Tax Lien Data by CompCurve Unlock unparalleled insights into tax lien records with CompCurve Federal Tax Lien Data, a robust dataset sourced directly from IRS records. This dataset is meticulously curated to provide detailed information on federal tax liens, unsecured liens, and tax-delinquent properties across the United States. Whether you're a real estate investor, financial analyst, legal professional, or data scientist, this dataset offers a treasure trove of actionable data to fuel your research, decision-making, and business strategies. Available in flexible formats like .json, .csv, and .xls, it’s designed for seamless integration via bulk downloads or API access, ensuring you can harness its power in the way that suits you best.

IRS Tax Lien Data: Unsecured Liens in Focus At the heart of this offering is the IRS Tax Lien Data, capturing critical details about unsecured federal tax liens. Each record includes key fields such as taxpayer full name, taxpayer address (broken down into street number, street name, city, state, and ZIP), tax type (e.g., payroll taxes under Form 941), unpaid balance, date of assessment, and last day for refiling. Additional fields like serial number, document ID, and lien unit phone provide further granularity, making this dataset a goldmine for tracking tax liabilities. With a history spanning 5 years, this data offers a longitudinal view of tax lien trends, enabling users to identify patterns, assess risk, and uncover opportunities in the tax lien market.

Detailed Field Breakdown for Precision Analysis The Federal Tax Lien Data is structured with precision in mind. Every record includes a document_id (e.g., 2025200700126004) as a unique identifier, alongside the IRS-assigned serial_number (e.g., 510034325). Taxpayer details are comprehensive, featuring full name (e.g., CASTLE HILL DRUGS INC), and, where applicable, parsed components like first name, middle name, last name, and suffix. Address fields are equally detailed, with street number, street name, unit, city, state, ZIP, and ZIP+4 providing pinpoint location accuracy. Financial fields such as unpaid balance (e.g., $15,704.43) and tax period ending (e.g., 09/30/2024) offer a clear picture of tax debt, while place of filing and prepared_at_location tie the data to specific jurisdictions and IRS offices.

National Coverage and Historical Depth Spanning the entire United States, this dataset ensures national coverage, making it an essential resource for anyone needing a coast-to-coast perspective on federal tax liens. With 5 years of historical data, users can delve into past tax lien activity, track refiling deadlines (e.g., 01/08/2035), and analyze how tax debts evolve over time. This historical depth is ideal for longitudinal studies, predictive modeling, or identifying chronic tax delinquents—key use cases for real estate professionals, lien investors, and compliance experts.

Expanded Offerings: Secured Real Property Tax Liens Beyond unsecured IRS liens, CompCurve enhances its portfolio with the Real Property Tax Lien File, focusing on secured liens tied to real estate. This dataset includes detailed records of property tax liens, featuring fields like tax year, lien year, lien number, sale date, interest rate, and total due. Property-specific data such as property address, APN (Assessor’s Parcel Number), FIPS code, and property type ties liens directly to physical assets. Ownership details—including owner first name, last name, mailing address, and owner-occupied status—add further context, while financial metrics like face value, tax amount, and estimated equity empower users to assess investment potential.

Tax Delinquent Properties: A Wealth of Insights The Real Property Tax Delinquency File rounds out this offering, delivering a deep dive into tax-delinquent properties. With fields like tax delinquent flag, total due, years delinquent, and delinquent years, this dataset identifies properties at risk of lien escalation or foreclosure. Additional indicators such as bankruptcy flag, foreclosure flag, tax deed status, and payment plan flag provide a multi-dimensional view of delinquency status. Property details—property class, building sqft, bedrooms, bathrooms, and estimated value—combined with ownership and loan data (e.g., total open loans, estimated LTV) make this a powerhouse for real estate analysis, foreclosure tracking, and tax lien investment.

Versatile Formats and Delivery Options CompCurve ensures accessibility with data delivered in .json, .csv, and .xls formats, catering to a wide range of technical needs. Whether you prefer bulk downloads for offline analysis or real-time API access for dynamic applications, this dataset adapts to your workflow. The structured fields and consistent data types—such as varchar, decimal, date, and boolean—ensure compatibility with databases, spreadsheets, and programming environments, making it easy to integrate into your ...

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