This dataset represents the shoreline positions that were surveyed at the beginning and end of a one year study of erosion along the back barrier (western shoreline) of Cumberland Island National Seashore (CUIS). Additionally, this dataset also contains projected shoreline positions for the year 2050 and 2100 derived from erosion rates observed in this study and the R package - Analysis of Moving Boundaries Using R (AMBUR). To determine shoreline positions, points were surveyed along the edge of the margin scarp using either a Trimble R8 Real-Time Kinematic Global Positioning System (RTK GPS) unit, a Trimble S6 total station, or both. Points were then converted to a polyline feature to represent the position and configuration of the selected sites shoreline. The goal of this exercise was to estimate the net amount of retreat which could be compared to other methods that were being used in this study.
This dataset contains properties eligible for inspection as part of the Parks Inspection Program, and contains internal directives and comments related to the inspection process. Each row represents a property or sub-property. All of these properties have associated geometry.
For Parks Inspection Program - All Sites (UNMAPPED), go here: https://data.cityofnewyork.us/City-Government/Parks-Inspection-Program-All-Sites-UNMAPPED-/xs5m-jrpm
Data Dictionary and User Guide can be found here: https://docs.google.com/spreadsheets/d/17LSfFUkhHPHJS4hszOYMVmVyU3xVF7J_dILhtIwWKKA/edit?usp=sharing
A complete list of all datasets in the series can be found here: https://data.cityofnewyork.us/browse?Data-Collection_Data-Collection=Parks%20Inspection%20Program%20(PIP)&sortBy=alpha
Property and Project geospatial data. Interim Risk Management Data. FUDS Program Division and District Boundaries.
This dataset contains properties eligible for inspection as part of the Parks Inspection Program, and contains internal directives and comments related to the inspection process. Each row represents a property or sub-property. None of these properties have associated geometry and exist primarily for historical purposes to relate to historical inspection data. For Parks Inspection Program – All Sites (MAPPED), go here: https://data.cityofnewyork.us/d/buk3-3qpr Data Dictionary and User Guide can be found here: https://docs.google.com/spreadsheets/d/17LSfFUkhHPHJS4hszOYMVmVyU3xVF7J_dILhtIwWKKA/edit?usp=sharing A complete list of all datasets in the series can be found here: https://data.cityofnewyork.us/browse?Data-Collection_Data-Collection=Parks%20Inspection%20Program%20(PIP)&sortBy=alpha
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about sites, featuring 10 columns including area, category, country, inscription date, and is the site in danger. The preview is ordered by area (descending).
The quality of the habitat information derived from remotely sensed data is determined by the quantitative process of accuracy assessment and ground validation. The purpose of accuracy assessment is to identify and quantify errors in the maps by comparing the attributes of the map versus reference data at various sites. Selected sites were visited in the field for typological validation.
In 2022, there were approximately 18.1 million persons employed in all health service sites (including hospitals) in the United States. This statistic shows the number of persons employed in all U.S. health service sites from 2000 to 2022.
Mobile accounts for approximately half of web traffic worldwide. In the last quarter of 2024, mobile devices (excluding tablets) generated 62.54 percent of global website traffic. Mobiles and smartphones consistently hoovered around the 50 percent mark since the beginning of 2017, before surpassing it in 2020. Mobile traffic Due to low infrastructure and financial restraints, many emerging digital markets skipped the desktop internet phase entirely and moved straight onto mobile internet via smartphone and tablet devices. India is a prime example of a market with a significant mobile-first online population. Other countries with a significant share of mobile internet traffic include Nigeria, Ghana and Kenya. In most African markets, mobile accounts for more than half of the web traffic. By contrast, mobile only makes up around 45.49 percent of online traffic in the United States. Mobile usage The most popular mobile internet activities worldwide include watching movies or videos online, e-mail usage and accessing social media. Apps are a very popular way to watch video on the go and the most-downloaded entertainment apps in the Apple App Store are Netflix, Tencent Video and Amazon Prime Video.
Map showing the location of USAR assessment sites and information about the needs at each site Includes all sites visited between 17/08/2021 and 23/08/2021
In 2022, there were approximately 4.2 million male persons employed in all U.S. health service sites (including hospitals). This statistic shows the number of persons employed in all U.S. health service sites from 2000 to 2022, by gender.
This data is intended for reporting purposes only. Please visit SummerFood.org or text FOOD to 304-304 to find an open summer meal sites near you. Help us provide the most useful data by completing our ODP User Feedback Survey for Summer Meal Programs Data About the Dataset This dataset contains site-level meal counts from approved TDA claims for Seamless Summer Option (SSO) and Summer Food Service Program (SFSP) in 2024. Summer meal programs typically operate mid-May through August. Any meals reported in non-summer months have been approved due to extenuating circumstances that have disrupted normal school meal service. Participants have 60 days to submit claims to TDA. Meal count information for individual summer meal programs can be found as filtered views of this dataset on our TDA Data Overview - Summer Meals Programs page. Meal reimbursement data is collected at the sponsor/CE level and is reported in the "Summer Meal Programs - Seamless Summer Option (SSO) - Meal Reimbursements" and “Summer Meal Programs – Summer Food Service Program (SFSP) – Meal Reimbursements” datasets found on the Summer Meal Program Data Overview page. An overview of all Summer Meal Program data available on the Texas Open Data Portal can be found at our TDA Data Overview - Summer Meals Programs page. An overview of all TDA Food and Nutrition data available on the Texas Open Data Portal can be found at our TDA Data Overview - Food and Nutrition Open Data page. About Dataset Updates TDA aims to post new program year data by July 15 of the active program period. Participants have 60 days to submit claims. Data updates will occur daily and end 90 days after the close of the program year. Any data posted during the active program year is subject to change. About the Agency The Texas Department of Agriculture administers 12 U.S. Department of Agriculture nutrition programs in Texas including the National School Lunch and School Breakfast Programs, the Child and Adult Care Food Programs (CACFP), and summer meal programs. TDA’s Food and Nutrition division provides technical assistance and training resources to partners operating the programs and oversees the USDA reimbursements they receive to cover part of the cost associated with serving food in their facilities. By working to ensure these partners serve nutritious meals and snacks, the division adheres to its mission — Feeding the Hungry and Promoting Healthy Lifestyles. For more information on these programs, please visit our website.
Discover the convenience of our customized dataset preparation service, designed to meet your industry-specific and location-based requirements. When you request datasets tailored to your needs, we diligently gather, structure, and enrich the data with Local Pack insights, providing you with a comprehensive resource for strategic decision-making.
Whether you're focused on a specific industry or targeting a particular geographic area, our team ensures that the dataset aligns perfectly with your objectives. We meticulously curate keywords belonging to your industry, scrape Local Packs for relevant insights, and organize the data in a structured format for easy analysis.
Our service goes beyond mere data gathering – we understand the importance of accuracy and relevance. Therefore, before sharing the dataset with you, we conduct thorough quality checks and ensure that the information is up-to-date and reliable.
Empower your business with actionable insights derived from our tailored datasets. Make informed decisions, optimize your strategies, and stay ahead of the competition with our comprehensive and customizable data solutions
This is 2020 decennial census data at the place level. Technical documentation is available here: https://www2.census.gov/programs-surveys/decennial/2020/technical-documentation/complete-tech-docs/summary-file/2020Census_PL94_171Redistricting_NationalTechDoc.pdf
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
All Employees: Leisure and Hospitality: Museums, Historical Sites, and Similar Institutions in New York was 16.20000 Thous. of Persons in March of 2022, according to the United States Federal Reserve. Historically, All Employees: Leisure and Hospitality: Museums, Historical Sites, and Similar Institutions in New York reached a record high of 22.00000 in June of 2019 and a record low of 9.40000 in February of 1993. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Leisure and Hospitality: Museums, Historical Sites, and Similar Institutions in New York - last updated from the United States Federal Reserve on March of 2025.
Number and list of central government open websites – 455 as at 31 December 2013.
The Cabinet Office committed to begin quarterly publication of the number of open websites starting in the financial year 2011.
The definition used is a user-centric one. Something is counted as a separate website if it is active and either has a separate domain name or, when as a subdomain, the user cannot move freely between the subsite and parent site and there is no family likeness in the design. In other words, if the user experiences it as a separate site in their normal uses of browsing, search and interaction, it is counted as one.
A website is considered closed when it ceases to be actively funded, run and managed by central government, either by packaging information and putting it in the right place for the intended audience on another website or digital channel, or by a third party taking and managing it and bearing the cost. Where appropriate, domains stay operational in order to redirect users to the http://www.nationalarchives.gov.uk/webarchive/" class="govuk-link">UK Government Website Archive.
The GOV.UK exemption process began with a web rationalisation of the government’s internet estate to reduce the number of obsolete websites and to establish the scale of the websites that the government owns.
Not included in the number or list are:
Finally, those public bodies set up by Parliament and reporting directly to the Speaker’s Committee are also excluded (for example, the Electoral Commission and IPSA).
As agreed in the quarterly report of February 2013, the following sites have been included in the list:
Websites are listed under the department name for which the government minister has responsibility, either directly through their departmental activities, or indirectly through being the minister reporting to Parliament for independent bodies set up by statute.
Government website domains have been procured from as early as the 1990s and at this time, there was no requirement upon government departments to retain a formal record of ownership. With staff changes and new departments formed, it became apparent that departments did not have a complete view of all sites in their estate.
Government Digital Service (GDS) has worked closely with these departments to identify legacy websites which we were not originally aware of, by going through the complete list of gov.uk domains managed by Cabinet Office, under the second level domain (SLD), gov.uk. A full list of gov.uk domains can be viewed here. As well as websites on the gov.uk SLD, we had found that there are a number of legacy websites owned by departments under a .org.uk or co.uk SLD. Because we do not own these SLDs, information on whether a department has ownership was not so easily accessible, but a strong working relationship with department leads has since helped to identify the majority of these sites.
Previously, the Ministry of Defence conducted their own rationalisation of MOD and the armed forces sites. At the beginning of this report, we agreed to include these sites to ensure a consistent approach.
Since the last report of Oct 2013, 19 websites have closed and 18 have migrated to the governments website, GOV.UK. As government websites migrate to GOV.UK, the responsibility for reporting a department’s content will become an overall GOV.UK reporting
In 2020, approximately 8.48 percent of all websites in Brazil sold products and/or services, up from 2.65 percent of the Brazilian websites in 2015. Brazil's e-commerce revenue has been forecast to continue to increase in the near future.
The Military Bases dataset was last updated on October 23, 2024 and are defined by Fiscal Year 2023 data, from the Office of the Assistant Secretary of Defense for Energy, Installations, and Environment and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The dataset depicts the authoritative locations of the most commonly known Department of Defense (DoD) sites, installations, ranges, and training areas world-wide. These sites encompass land which is federally owned or otherwise managed. This dataset was created from source data provided by the four Military Service Component headquarters and was compiled by the Defense Installation Spatial Data Infrastructure (DISDI) Program within the Office of the Assistant Secretary of Defense for Energy, Installations, and Environment. Only sites reported in the BSR or released in a map supplementing the Foreign Investment Risk Review Modernization Act of 2018 (FIRRMA) Real Estate Regulation (31 CFR Part 802) were considered for inclusion. This list does not necessarily represent a comprehensive collection of all Department of Defense facilities. For inventory purposes, installations are comprised of sites, where a site is defined as a specific geographic location of federally owned or managed land and is assigned to military installation. DoD installations are commonly referred to as a base, camp, post, station, yard, center, homeport facility for any ship, or other activity under the jurisdiction, custody, control of the DoD. While every attempt has been made to provide the best available data quality, this data set is intended for use at mapping scales between 1:50,000 and 1:3,000,000. For this reason, boundaries in this data set may not perfectly align with DoD site boundaries depicted in other federal data sources. Maps produced at a scale of 1:50,000 or smaller which otherwise comply with National Map Accuracy Standards, will remain compliant when this data is incorporated. Boundary data is most suitable for larger scale maps; point locations are better suited for mapping scales between 1:250,000 and 1:3,000,000. If a site is part of a Joint Base (effective/designated on 1 October, 2010) as established under the 2005 Base Realignment and Closure process, it is attributed with the name of the Joint Base. All sites comprising a Joint Base are also attributed to the responsible DoD Component, which is not necessarily the pre-2005 Component responsible for the site.
Data compiled for purpose of determining the most vulnerable populations in North Carolina by flooding (with special consideration being given to movement of contaminants).Created June 28, 2024Last revised June 28, 2024Planned to update yearly.State-wide coverage.Attribute list: N/ASourced from Research Triangle Institute (RTI).
All Contracting Entities (CEs) approved to sponsor Seamless Summer Option (SSO) or Summer Food Service Program (SFSP) sites for 2017.
In March 2023, Facebook accounted for 45 percent of all social media site visits in the United States, confirming its position as the leading social media website by far. Other social media platforms, despite their popularity, had to make do with smaller shares of visits across desktop, mobile, and tablet devices combined. Pinterest ranked second with 21 percent of all U.S. social media site visits, while Instagram accounted for 14 percent of the total visits in the country. Additionally, the U.S. is home to the third largest social media audience worldwide.
Facebook: mobile vs desktop usage
At the beginning of 2022, around 81 percent of Facebook users across the globe were using the platform’s social networking services exclusively via mobile phone, while only 1.5 percent reported using their desktop or laptop devices. In October 2021, three Facebook Inc. products occupied the leading positions as most downloaded social networking apps on the Apple App Store in the United States. Facebook’s social media platform ranked first with nearly 2.5 million downloads, while Facebook-owned instant-messaging services Messenger and WhatsApp followed with 2.1 million and 1.4 million downloads respectively.
Social media evolution
Between 2012 and 2020, the daily time spent on social networks worldwide experienced a constant increase, with users reaching an average of 145 minutes per day in 2019 and maintaining the same engagement levels throughout 2020. However, users’ favorite platforms have changed since 2019, and the power balance appears to be shifting further from Facebook’s market dominance. Not only Facebook’s user growth rate is estimated to slow down in the next years, but users belonging to Generation Z appear to prefer video-first social platforms like Snapchat, TikTok, and YouTube.
This dataset represents the shoreline positions that were surveyed at the beginning and end of a one year study of erosion along the back barrier (western shoreline) of Cumberland Island National Seashore (CUIS). Additionally, this dataset also contains projected shoreline positions for the year 2050 and 2100 derived from erosion rates observed in this study and the R package - Analysis of Moving Boundaries Using R (AMBUR). To determine shoreline positions, points were surveyed along the edge of the margin scarp using either a Trimble R8 Real-Time Kinematic Global Positioning System (RTK GPS) unit, a Trimble S6 total station, or both. Points were then converted to a polyline feature to represent the position and configuration of the selected sites shoreline. The goal of this exercise was to estimate the net amount of retreat which could be compared to other methods that were being used in this study.