Published to allow joining of spreadsheet data to county geometry in ESRI Maps for Office or Map Analysis Tools, contains Iowa DOM County Code (1-99) as a small integer, Census County FIPS as a both an string and integer. This data was originally created by the Iowa DNR and digitized from USGS 7.5' topographic maps.Click on the data tab above to see an example of expected data. OCIO has a tutorial on how to join your spreadsheet to this Feature layer to create a new feature layer with your county based information. Please contact patrick.wilke-brown@iowa.gov.

This coverage contains polygons representing the county boundaries of the state of Iowa. COUNTY was developed from a set of 99 individual coverages of the Public Land Survey System (PLSS) for each county in the state. The PLSS coverages were digitized from paper copies of 7.5' topographic quadrangle maps. River boundaries were also digitized from 7.5' maps. This version also encompass' the Iowa-Nebraska Compact of 1943.

This dataset contains commonly used codes for counties and polygons representing boundaries for counties of the State of Iowa. Boundaries were developed from a set of 99 individual coverages of the Public Land Survey System (PLSS) for each county in the state. The PLSS coverages were digitized from paper copies of 7.5' topographic quadrangle maps. River boundaries were also digitized from 7.5' maps.

Iowa State Plane Boundaries used by Iowa DOT. These boundaries were modified for Iowa DOT use only. They may not reflect exact location.

This coverage contains points that represent populated places, ie. cities, towns, villages or any other named place where people live. The coverage was developed from the USGS Geographic Names Information System (GNIS) database for Iowa. There were many errors in the original GNIS data, including missing points or mislocated points. The GNIS points were compared to two reference sources: USGS 100k scale county maps and Iowa DOT county highway maps. Mislocated and missing point were fixed and each town was designated as having been verified from one or the other reference sources or both. Some GNIS points were not verified from either source and are so designated (use these with caution).

Existing ROW layer was created by contacting county assessor's offices and based off of parcel data received from them. Each county has different levels of accuracy. If a county did not have a GIS parcel dataset, ERMS was utilized. strip maps were pulled from ERMS, georectified, and traced over to created the boundary. This dataset is not complete.

This dataset provides the geographic names data for Iowa. All names data products are extracted from the Geographic Names Information System (GNIS), the Federal Government's repository of official geographic names. The GNIS contains the federally recognized name of each feature and defines its location by State, county, USGS topographic map, and geographic coordinates. GNIS also lists variant names, which are non-official names by which a feature is or was known. Other attributes include unique Feature ID and feature class. Feature classes under the purview of the U.S. Board on Geographic Names include natural features, unincorporated populated places, canals, channels, reservoirs, and more.

The National Risk Index Counties Map incorporates county-level vector tile layers for the Risk Index, Expected Annual Loss, Social Vulnerability, and Community Resilience. The map is used within the National Risk Index application.The National Risk Index is a dataset and online tool that helps to illustrate the communities most at risk for 18 natural hazards across the United States and territories: Avalanche, Coastal Flooding, Cold Wave, Drought, Earthquake, Hail, Heat Wave, Hurricane, Ice Storm, Landslide, Lightning, Riverine Flooding, Strong Wind, Tornado, Tsunami, Volcanic Activity, Wildfire, and Winter Weather. The National Risk Index provides Risk Index values, scores and ratings based on data for Expected Annual Loss due to natural hazards, Social Vulnerability, and Community Resilience. Separate values, scores and ratings are also provided for Expected Annual Loss, Social Vulnerability, and Community Resilience. For the Risk Index and Expected Annual Loss, values, scores and ratings can be viewed as a composite score for all hazards or individually for each of the 18 hazard types.Sources for Expected Annual Loss data include: Alaska Department of Natural Resources, Arizona State University’s (ASU) Center for Emergency Management and Homeland Security (CEMHS), California Department of Conservation, California Office of Emergency Services California Geological Survey, Colorado Avalanche Information Center, CoreLogic’s Flood Services, Federal Emergency Management Agency (FEMA) National Flood Insurance Program, Humanitarian Data Exchange (HDX), Iowa State University's Iowa Environmental Mesonet, Multi-Resolution Land Characteristics (MLRC) Consortium, National Aeronautics and Space Administration’s (NASA) Cooperative Open Online Landslide Repository (COOLR), National Earthquake Hazards Reduction Program (NEHRP), National Oceanic and Atmospheric Administration’s National Centers for Environmental Information (NCEI), National Oceanic and Atmospheric Administration's National Hurricane Center, National Oceanic and Atmospheric Administration's National Weather Service (NWS), National Oceanic and Atmospheric Administration's Office for Coastal Management, National Oceanic and Atmospheric Administration's National Geophysical Data Center, National Oceanic and Atmospheric Administration's Storm Prediction Center, Oregon Department of Geology and Mineral Industries, Pacific Islands Ocean Observing System, Puerto Rico Seismic Network, Smithsonian Institution's Global Volcanism Program, State of Hawaii’s Office of Planning’s Statewide GIS Program, U.S. Army Corps of Engineers’ Cold Regions Research and Engineering Laboratory (CRREL), U.S. Census Bureau, U.S. Department of Agriculture's (USDA) National Agricultural Statistics Service (NASS), U.S. Forest Service's Fire Modeling Institute's Missoula Fire Sciences Lab, U.S. Forest Service's National Avalanche Center (NAC), U.S. Geological Survey (USGS), U.S. Geological Survey's Landslide Hazards Program, United Nations Office for Disaster Risk Reduction (UNDRR), University of Alaska – Fairbanks' Alaska Earthquake Center, University of Nebraska-Lincoln's National Drought Mitigation Center (NDMC), University of Southern California's Tsunami Research Center, and Washington State Department of Natural Resources.Data for Social Vulnerability are provided by the Centers for Disease Control (CDC) Agency for Toxic Substances and Disease Registry (ATSDR) Social Vulnerability Index, and data for Community Resilience are provided by University of South Carolina's Hazards and Vulnerability Research Institute’s (HVRI) 2020 Baseline Resilience Indicators for Communities.The source of the boundaries for counties and Census tracts are based on the U.S. Census Bureau’s 2021 TIGER/Line shapefiles. Building value and population exposures for communities are based on FEMA’s Hazus 6.0. Agriculture values are based on the USDA 2017 Census of Agriculture.

Scott County GPS Control: Scott County GPS Control Network monument locations. Originally collected in 2005 and subsequently reoccupied in 2015 and delivered in Iowa State Plane South, NAD83 (2011) and Iowa RCS Zone 11 coordinates. Davenport PLSS Corner Survey: Survey data acquired from Davenport regarding PLSS corners that they occupied over time using in-house survey equipment. Detailed information not available.PLSS Survey: Scott County PLSS corners occupied between 2007-2010 and originally referenced to Iowa State Plane, South NAD83 (HARN96) coordinate system. In 2015, a township level positional analysis and readjustment to NAD (2011) was conducted by third-party survey firms GB Consulting and DCI, Inc both incorporated in the State of Iowa.PLSS Index: Section corner reference database which represents locations of all known recorded corner certificates in Scott County as well as section corner documents kept by the Scott County Secondary Road Departments referred to as "Tie Books" (not recorded). Note that the physical location of corners in the PLSS Index database are approximate only. In contrast to the corners in layer PLSS Survey, the ones in PLSS Index are not survey grade and are for reference purposes only. However, the PLSS Index contains useful reference information such as when the corner was recorded, who recorded it, etc. and includes an online link to every section corner certificates and county tie book in the collection. There is a one-to-many relationship between features in the PLSS Index layer and the table, Certificate and Tie Book Records.

The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the Ohio North Stateplane projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at scales of 1:6000 and 1:12,000.

This coverage represents the current state boundary of Iowa. It was developed by digitizing, from 7.5' USGS Topgraphic maps, the sections of each county on a digitizing table, and thereafter dissolving them into county boundaries. Dissolving the counties into one state boundary was done, and later work added corrections from the Missouri River 1943 Compact Line..

The 2015 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. The records in this file allow users to map the parts of Urban Areas that overlap a particular county. After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the "urban footprint." There are two types of urban areas: urbanized areas (UAs) that contain 50,000 or more people and urban clusters (UCs) that contain at least 2,500 people, but fewer than 50,000 people (except in the U.S. Virgin Islands and Guam which each contain urban clusters with populations greater than 50,000). Each urban area is identified by a 5-character numeric census code that may contain leading zeroes. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The boundaries for counties and equivalent entities are as of January 1, 2010.

The feature class contains the current county borders for the State of Iowa. These boundaries have been cartographically enhanced to reflect the major changes along the Missouri and Mississippi Rivers.

This vector tile basemap was created for use by the Iowa DOT with layers maintained by the Cartography team within Systems Planning. This basemap is a general reference set of data that includes information about transportation features (roads, railroads, airports and structures), as well as boundary information (state, county, and municipal boundaries), and surface water features (stream and lake information). The transportation features represent both the primary system as well as the local systems and rail features. The boundaries represent political jurisdictions as well as selected public interest lands. Surface waters include stream and lake locations. Given the nature of the basemap, the sources for this data are derived from many different sources, mainly from authoritative sources from within the Department of Transportation but also from authoritative sources from without. The basemap is scheduled to be updated on a quarterly cycle and the older versions will be archived.

FEMA Framework Basemap datasets comprise six of the seven FGDC themes of geospatial data that are used by most GIS applications (Note: the seventh framework theme, orthographic imagery, is packaged in a separate NFIP Metadata Profile): cadastral, geodetic control, governmental unit, transportation, general structures, hydrography (water areas & lines. These data include an encoding of the geographic extent of the features and a minimal number of attributes needed to identify and describe the features. (Source: Circular A16, p. 13)

Recent developments in digital terrain and geospatial database management technology make it possible to protect this investment for existing and future projects to a much greater extent than was possible in the past. The Floodplain Mapping/Redelineation study deliverables depict and quantify the flood risks for the study area. The primary risk classifications used are the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The Floodplain Mapping/Redelineation flood risk boundaries are derived from the engineering information in the Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, Flood Boundary and Floodway Maps, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA).

The 2019 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. The records in this file allow users to map the parts of Urban Areas that overlap a particular county. After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the ""urban footprint."" There are two types of urban areas: urbanized areas (UAs) that contain 50,000 or more people and urban clusters (UCs) that contain at least 2,500 people, but fewer than 50,000 people (except in the U.S. Virgin Islands and Guam which each contain urban clusters with populations greater than 50,000). Each urban area is identified by a 5-character numeric census code that may contain leading zeroes. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The generalized boundaries for counties and equivalent entities are as of January 1, 2010.

This feature layer contains Linn County, Elections department State house district boundaries. Information within this layer is maintained by the Elections department within the Auditor's Office.Update FrequencyApproximately once a weekAdditional ResourcesVisit Linn County, Iowa on the web.Visit Linn County, Iowa GIS on the web. This site is updated as needed to reflect maps, apps, and data of interest from various County departments.Contact InformationQuestions? Contact the GIS Division by phone at 319.892.5250 or by email.

U.S. Census Bureau QuickFacts statistics for Decatur County, Iowa. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

The bedrock geologic map portrays the current interpretation of the distribution of various bedrock stratigraphic units present at the bedrock surface. The bedrock surface is buried by unconsolidated surficial sediments (mostly Quaternary) over most of its extent, but this surface coincides with the modern land surface in areas of bedrock exposure. The map is consistent with all available data including drill records and well samples, as well as surface bedrock exposures (both natural and man-made) and shallow-to-bedrock soils units (NRCS county soils maps). Mapped stratigraphic intervals are portrayed primarily at the group level (i.e., a grouping of bedrock formations), each characterized by distinctive lithologies (rock types) summarized in the map key and associated metadata. The distribution of bedrock units was mapped to conform to the current map of bedrock topography (elevation of the bedrock surface). The structural configurations of relevant stratigraphic datums were intercepted with the bedrock topographic surface to produce the map contacts. The line style shown on the bedrock geologic map qualitatively reflects both data density and degree of certainty of individual stratigraphic contacts. Detailed line work is possible in areas of modern bedrock exposure, but more generalized line work (smooth and more sweeping forms) is portrayed in areas of sparser data control. The new bedrock map is, in part, a revised and updated compilation of seven multi-county bedrock maps prepared between 1998 and 2004 as part of Iowa's STATEMAP program (funded through U.S. Geological Survey). These maps were further supplemented with other STATEMAP bedrock compilations for portions of northeast and eastern Iowa, although much of the bedrock geology shown for northeast Iowa represents new and previously unpublished information. Bedrock faults are displayed in the map as sharp linear features offsetting mapped stratigraphic units. Utilization of the Iowa Bedrock Faults coverage should be used in combination with this map.