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 Topological Faces / Area Hydrography Relationship File (FACESAH.dbf) contains a record for each face / area hydrography feature relationship. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The face to which a record in the Topological Faces / Area Hydrography Relationship File (FACESAH.dbf) applies can be determined by linking to the Topological Faces Shapefile (FACES.shp) using the permanent topological face identifier (TFID) attribute. The area hydrography feature to which a record in the Topological Faces / Area Hydrography Relationship File (FACESAH.dbf) applies can be determined by linking to the Area Hydrography Shapefile (AREAWATER.shp) using the area hydrography identifier (HYDROID) attribute. A face may be part of multiple area water features. An area water feature may consist of multiple faces.

Conventional, FHA, VA, and USDA mortgage loan limits for Polk County in 2026. Includes limits for 1-4 unit properties and historical data.

Explore borrowing and mortgage trends in Polk County, including conventional vs. government loan performance, average loan sizes, and market share shifts. Data sourced from HMDA regulatory filings shows how local lending patterns evolve through changing market conditions.

Historical mortgage loan limits for Polk County from 2020 to 2026

This service is publicly available GIS data representing the locations of locally assigned physical 9-1-1 addresses, as recorded by DETCOG in partnership with the relevant member local governments. The data available here covers Polk County and is a subset of the regional GIS database. DETCOG, in conjunction with its member governments, seeks to provide accurate and accessible GIS data and services to support public safety efforts throughout the region and support other regional needs and efforts.Any questions regarding the data may be directed to the DETCOG regional GIS staff or the relevant county GIS coordinator using the contact information available at https://www.detcog.gov/911

This service is publicly available GIS data representing Driveways, as recorded by DETCOG in partnership with the relevant member local governments. The data available here covers Polk County and is a subset of the regional GIS database. DETCOG, in conjunction with its member governments, seeks to provide accurate and accessible GIS data and services to support public safety efforts throughout the region and support other regional needs and efforts.Any questions regarding the data may be directed to the DETCOG regional GIS staff or the relevant county GIS coordinator using the contact information available at https://www.detcog.gov/911

This service is publicly available GIS data representing Point of Interst Areas, as recorded by DETCOG in partnership with the relevant member local governments. The data available here covers Polk County and is a subset of the regional GIS database. DETCOG, in conjunction with its member governments, seeks to provide accurate and accessible GIS data and services to support public safety efforts throughout the region and support other regional needs and efforts.Some notes regarding the available datasets:While we seek to provide information that is as accurate and up-to-date as possible, boundaries presented here, including Municipal, County, and public safety responder boundaries, are to be used as approximate geographic representations only. The relevant local government offices should always be contacted directly regarding any specific questions or for any final determinations as to what jurisdiction a particular location is in.Any other questions regarding the data may be directed to the DETCOG regional GIS staff or the relevant county GIS coordinator using the contact information available at https://www.detcog.gov/911

This service is publicly available GIS data representing JP Precincts, as recorded by DETCOG in partnership with the relevant member local governments. The data available here covers Polk County and is a subset of the regional GIS database. DETCOG, in conjunction with its member governments, seeks to provide accurate and accessible GIS data and services to support public safety efforts throughout the region and support other regional needs and efforts.Some notes regarding the available datasets:While layers may be present for various precinct boundaries, these will only contain data where it has been provided by the relevant county office, otherwise the layers will be empty. It should also be noted that the precinct boundaries presented here are to be used as approximate geographic representations only. The relevant local government office should always be contacted directly regarding any specific questions or for any final determinations as to what precinct a particular location is in.Any other questions regarding the data may be directed to the DETCOG regional GIS staff or the relevant county GIS coordinator using the contact information available at https://www.detcog.gov/911

Google Mobility Changes: Residential: United States: Texas: Polk County data was reported at 3.000 % in 30 Sep 2022. This stayed constant from the previous number of 3.000 % for 29 Sep 2022. Google Mobility Changes: Residential: United States: Texas: Polk County data is updated daily, averaging 5.000 % from Feb 2020 (Median) to 30 Sep 2022, with 892 observations. The data reached an all-time high of 31.000 % in 15 Feb 2021 and a record low of -3.000 % in 28 Feb 2020. Google Mobility Changes: Residential: United States: Texas: Polk County data remains active status in CEIC and is reported by Google LLC. The data is categorized under Global Database’s United States – Table US.Google.GM: Mobility Trends: Residential.

Google Mobility Changes: Grocery & Pharmacy: United States: Texas: Polk County data was reported at 23.000 % in 30 Sep 2022. This records an increase from the previous number of 21.000 % for 29 Sep 2022. Google Mobility Changes: Grocery & Pharmacy: United States: Texas: Polk County data is updated daily, averaging 13.000 % from Feb 2020 (Median) to 30 Sep 2022, with 934 observations. The data reached an all-time high of 69.000 % in 24 Nov 2021 and a record low of -61.000 % in 15 Feb 2021. Google Mobility Changes: Grocery & Pharmacy: United States: Texas: Polk County data remains active status in CEIC and is reported by Google LLC. The data is categorized under Global Database’s United States – Table US.Google.GM: Mobility Trends: Grocery & Pharmacy.

A bare-earth topography Digital Elevation Model (DEM) mosaic for the Menard Corridor Unit of Big Thicket National Preserve in Texas was produced from remotely sensed, geographically referenced elevation measurements collected on January 21 and 22, 2014 by the U.S. Geological Survey, in cooperation with the National Park Service - Gulf Coast Network. Elevation measurements were collected over the area using the second-generation Experimental Advanced Airborne Research Lidar (EAARL-B), a pulsed laser ranging system mounted onboard an aircraft to measure ground elevation, vegetation canopy, and coastal topography. The system uses high-frequency laser beams directed at the Earth's surface through an opening in the bottom of the aircraft's fuselage. The laser system records the time difference between emission of the laser beam and the reception of the reflected laser signal in the aircraft. The plane travels over the target area at approximately 55 meters per second at an elevation of approximately 300 meters, resulting in a laser swath of approximately 240 meters with an average point density of 1.4 points per square meter. A peak sampling rate of 15-30 kilohertz results in an extremely dense spatial elevation dataset. More than 100 kilometers of coastline can be surveyed easily within a 3- to 4-hour mission. When resultant elevation maps for an area are analyzed, they provide a useful tool to make management decisions regarding land development.

A first-surface topography Digital Elevation Model (DEM) mosaic for the Big Sandy Creek Corridor Unit of Big Thicket National Preserve in Texas was produced from remotely sensed, geographically referenced elevation measurements collected on January 19, 21, 22, 29, and 30, 2014 by the U.S. Geological Survey, in cooperation with the National Park Service - Gulf Coast Network. Elevation measurements were collected over the area using the second-generation Experimental Advanced Airborne Research Lidar (EAARL-B), a pulsed laser ranging system mounted onboard an aircraft to measure ground elevation, vegetation canopy, and coastal topography. The system uses high-frequency laser beams directed at the Earth's surface through an opening in the bottom of the aircraft's fuselage. The laser system records the time difference between emission of the laser beam and the reception of the reflected laser signal in the aircraft. The plane travels over the target area at approximately 55 meters per second at an elevation of approximately 300 meters, resulting in a laser swath of approximately 240 meters with an average point density of 1.4 points per square meter. A peak sampling rate of 15-30 kilohertz results in an extremely dense spatial elevation dataset. More than 100 kilometers of coastline can be surveyed easily within a 3- to 4-hour mission. When resultant elevation maps for an area are analyzed, they provide a useful tool to make management decisions regarding land development.

This dataset tracks annual white student percentage from 1999 to 2023 for Polk Middle School vs. Texas and Carrollton-Farmers Branch Independent School District

This dataset tracks annual asian student percentage from 1999 to 2023 for Polk Middle School vs. Texas and Carrollton-Farmers Branch Independent School District

This dataset tracks annual diversity score from 1999 to 2023 for Polk Middle School vs. Texas and Carrollton-Farmers Branch Independent School District

This dataset tracks annual white student percentage from 1991 to 2023 for Polk Elementary School vs. Texas and El Paso Independent School District

This dataset tracks annual black student percentage from 1991 to 2023 for Polk Elementary School vs. Texas and El Paso Independent School District

This dataset tracks annual asian student percentage from 1991 to 2023 for Polk Elementary School vs. Texas and El Paso Independent School District

This dataset tracks annual two or more races student percentage from 2012 to 2023 for K B Polk Center For Academically Talented & Gifted vs. Texas and Dallas Independent School District

This dataset tracks annual white student percentage from 1991 to 2023 for K B Polk Center For Academically Talented & Gifted vs. Texas and Dallas Independent School District