This dataset contains fence count for Utah state highways. Location information includes x,y and route & milepost. This dataset is a Mandli data layer that was collected in the Summer of 2021 via LiDAR inventory.For questions on the data please contact Scott Jones at wsjones@utah.gov. To download this data please visit UDOT's Open Data Site.

This layer shows the location of Walls and Fences on the State Road Network. The Wall or Fence are a continuous vertical structure usually of brick, stone or wood, used as a noise barrier or boundary fence.Note that you are accessing this data pursuant to a Creative Commons (Attribution) Licence which has a disclaimer of warranties and limitation of liability. You accept that the data provided pursuant to the Licence is subject to changes.Pursuant to section 3 of the Licence you are provided with the following notice to be included when you Share the Licenced Material:- The Commissioner of Main Roads is the creator and owner of the data and Licenced Material, which is accessed pursuant to a Creative Commons (Attribution) Licence, which has a disclaimer of warranties and limitation of liability.Creative Commons CC BY 4.0 https://creativecommons.org/licenses/by/4.0/

The planimetric data was compiled by The Sanborn Map Company, Inc for the Metropolitan District and is based on an aerial flight performed in April 2015. In addition, the City's GIS staff has been updating limited planimetric features based on information on file in various City departments. The planimetric data has also been updated in 2016 and yearly to current based on spring aerial flights by EagleView.

About this dataset

Context

The dataset tabulates the Fence town population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Fence town. The dataset can be utilized to understand the population distribution of Fence town by age. For example, using this dataset, we can identify the largest age group in Fence town.

Key observations

The largest age group in Fence, Wisconsin was for the group of age 65 to 69 years years with a population of 66 (27.85%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Fence, Wisconsin was the 85 years and over years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Fence town is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Fence town total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Fence town Population by Age. You can refer the same here

Description of INSPIRE Download Service (predefined Atom): Building plan “Behind the Fences” of the municipality of Bergenhausen – The link(s) for downloading the records is/are generated dynamically from Get Map Calling a WMS Interface

The Fence feature layer delineates fence location, fence type and fence condition on U.S. Fish and Wildlife Service lands.

Feature layer containing authoritative park fence lines for Sioux Falls, South Dakota.

Fencing is a major anthropogenic feature affecting wildlife distributions and movements, but its impacts are difficult to quantify due to a widespread lack of spatial data. We created a fence model and compared outputs to a fence mapping approach using satellite imagery in two counties in southwest Montana, USA to advance fence data development for use in research and management. The model incorporated road, land cover, ownership, and grazing boundary spatial layers to predict fence locations. We validated the model using data collected on randomized road transects (n = 330). The model predicted ~34,700 km of fences with a mean fence density of 0.93 km/km2 and a maximum density of 14.9 km/km2. We also digitized fences using Google Earth Pro in a random subset of our study area in survey townships (n = 50). The Google Earth approach showed greater agreement (K = 0.76) with known samples than the fence model (K = 0.56) yet was unable to map fences in forests and was significantly more time intensive. We also compared fence attributes by land ownership and land cover variables to assess factors that may influence fence specifications (e.g., wire heights) and types (e.g., number of barbed wires). Private land fences had bottom wires that were closer to the ground and top wires higher from the ground when compared to fences on public lands, with sample means at ~22 cm and ~26 cm, and ~115 cm and ~111 cm, respectively. Both bottom wire means were well below recommended heights for ungulates navigating underneath fencing (≥ 46 cm), while top wire means were closer to the 107 cm maximum fence height recommendation. We found that both fence type and land ownership were correlated (χ2 = 45.52, df = 5, p = 0.001) as well as fence type and land cover type (χ2 = 140.73, df = 15, p = 0.001). We provide tools for estimating fence locations, and our novel fence type assessment demonstrates an opportunity for updated policy to encourage the adoption of “wildlife-friendlier” fencing standards to facilitate wildlife movement in the western U.S. while supporting rural livelihoods.

Description of the INSPIRE Download Service (predefined Atom): Development plan "Behind the fences, 2.Change" of the municipality of Külz - The link(s) for downloading the data sets is/are dynamically generated from Get Map calls to a WMS interface

Description of the INSPIRE Download Service (predefined Atom): Development plan "Behind the fences" of the municipality of Bergenhausen - The link(s) for downloading the data sets is/are dynamically generated from Get Map calls to a WMS interface

This dataset is a polyline layer that depicts fencing within Mono County, CA.

Broken Fence

## Overview

Broken Fence is a dataset for object detection tasks - it contains Fence annotations for 1,208 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Western Australia's State Barrier Fence (SBF) plays an important role in preventing animal pests such as wild dogs from moving into the State's agricultural areas from pastoral areas in the east. The fence is a state asset set within a 20 metre reserve, which is managed by the DPIRD. This dataset defines the current SBF location. It does not include abandoned or proposed sections. Show full description

9459 Global import shipment records of Aluminum Fence with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. No Abstract Available Resources in this dataset:Resource Title: Website Pointer to html file. File Name: Web Page, url: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-sgs&identifier=814 Webpage with information and links to data files for download

Comprehensive dataset of 353 Fence contractors in Brazil as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

City of Cambridge, MA, GIS basemap development project encompasses the land area of City of Cambridge with a 200-foot fringe surrounding the area and Charles River shoreline towards Boston. The basemap data was developed at 1" = 40' mapping scale using digital photogrammetric techniques. Planimetric features; both man-made and natural features like vegetation, rivers have been depicted. These features are important to all GIS/mapping applications and publication. A set of data layers such as Buildings, Roads, Rivers, Utility structures, 1 ft interval contours are developed and represented in the geodatabase. The features are labeled and coded in order to represent specific feature class for thematic representation and topology between the features is maintained for an accurate representation at the 1:40 mapping scale for both publication and analysis. The basemap data has been developed using procedures designed to produce data to the National Standard for Spatial Data Accuracy (NSSDA) and is intended for use at 1" = 40 ' mapping scale. Where applicable, the vertical datum is NAVD1988.Explore all our data on the Cambridge GIS Data Dictionary.Attributes NameType DetailsDescription TYPE type: Stringwidth: 50precision: 0 Type of fence (fence, guardrail, or hedge)

The layer refers to lines and symbols indicating the location of various types of Fences (Bollards, Perimeter Fences, Barrier Fences, etc.) on public land in the Gold Coast area. Please note that as part of the atttribution of this data under the CC BY licence terms with which it is supplied, users should include the following statement: 'The information is provided to assist in field investigations. All locations, dimensions and depths shown are to be confirmed on site'.

The City of Gold Coast is not a professional information provider and makes no representations or warranties about the accuracy, reliability, completeness or suitability for any particular purpose of the Data provided here. This Data is not provided with the intent that any person will rely on it for the purpose of making decisions with financial or legal implications. Persons who place such reliance on the Data do so at their own risk.

Fences have recently been recognized as one of the most prominent linear infrastructures on earth. As animals traverse fenced landscapes, they adjust movement behaviors to optimize resource access while minimizing energetic costs of coping with fences. Examining individual responses is key for connecting localized fence effects with population dynamics. We investigated the multi-scale effects of fencing on animal movements, space use, and survival of 61 pronghorn and 96 mule deer on a gradient of fence density in Wyoming, USA.
Taking advantage of the recently developed Barrier Behavior Analysis, we classified individual movement responses upon encountering fences (i.e. barrier behaviors). We adopted the reaction norm framework to jointly quantify individual plasticity and behavioral types of barrier behaviors, as well as behavior syndromes between barrier behaviors and animal space use. We also assessed whether barrier behaviors affect individual survival.
Our results highlighted a high level individual plasticity encompassing differences in the degree and the direction of barrier behaviors for both pronghorn and mule deer. Additionally, these individual differences were greater at higher fence densities. For mule deer, fence density determined the correlation between barrier behaviors and space use, and was negatively associated with individual survival. Yet, these relationships were not statistically significant for pronghorn.
By integrating approaches from movement ecology and behavioral ecology with the emerging field of fence ecology, this study provides new evidence that an extraordinarily widespread linear infrastructure uniquely impacts animals at the individual level. Managing landscape for lower fence densities may help prevent irreversible behavioral shifts for wide-ranging animals in fenced landscapes.