United States - Real Gross Domestic Product Growth: Government and Government Enterprises in Cache County, UT was 15.80000 % Chg. from Preceding Period in January of 2024, according to the United States Federal Reserve. Historically, United States - Real Gross Domestic Product Growth: Government and Government Enterprises in Cache County, UT reached a record high of 15.90000 in January of 2022 and a record low of 8.80000 in January of 1991. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Real Gross Domestic Product Growth: Government and Government Enterprises in Cache County, UT - last updated from the United States Federal Reserve on July of 2025.

This data set contains funding by the Community Impact Board to counties for 2011-2015.

Graph and download economic data for Real Gross Domestic Product: Government and Government Enterprises in Cache County, UT (REALGDPGOVT49005) from 2001 to 2023 about Cache County, UT; Logan; enterprises; UT; government; real; GDP; and USA.

The transparent caching market is experiencing robust growth, projected to reach $2001.9 million in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 16.5% from 2019 to 2033. This expansion is fueled by several key factors. The increasing demand for high-bandwidth content delivery, particularly streaming video and static images, across diverse sectors like ISPs, telecom operators, enterprises, and governments, is a primary driver. Furthermore, the rise of cloud computing and the increasing adoption of edge computing technologies are significantly contributing to market growth. These technologies enable faster content delivery and reduce latency, thus enhancing user experience and driving demand for transparent caching solutions. While the market faces challenges, such as the complexities associated with integrating transparent caching into existing network infrastructures and the need for robust security measures to protect cached content, the overall market outlook remains positive. The continuous evolution of internet technologies and the growing adoption of digital media are expected to offset these limitations and sustain the market's impressive growth trajectory over the forecast period. The segmentation of the transparent caching market reveals significant opportunities within specific application areas. Live streaming videos constitute a major segment, closely followed by static videos, indicating a strong reliance on efficient content delivery for multimedia applications. The diverse user base, encompassing ISPs, telecom operators, enterprises, and governments, highlights the widespread applicability and utility of transparent caching solutions. The geographical distribution of the market shows strong growth across North America and Asia Pacific, driven by high internet penetration and digital adoption rates in these regions. The competitive landscape features established players such as Cisco Systems, Ericsson, Google, and Akamai, alongside emerging companies, creating both opportunities and challenges for all market participants. The forecast period is expected to witness increased competition, innovation, and potentially market consolidation as companies strive to capitalize on the considerable growth potential of this dynamic sector.

North America SSD Caching Market size was valued at USD 2.02 Billion in 2024 and is projected to reach USD 5.76 Billion by 2032, growing at a CAGR of 14% from 2026 to 2032.

Key Market Drivers:

Growth of Data Centers and Cloud Computing: The International Trade Administration of the U.S. Department of Commerce projects that the data center market in the United States will grow at a compound annual growth rate of 16.4% to reach $164.36 billion by 2026. The need for SSD caching technology is fueled by this enormous growth, as data centers look to minimize latency and maximize speed.

Initiatives for the Enterprise Digital Transformation: According to data from the U.S. Bureau of Economic Analysis, businesses' spending in digital transformation rose by 22.3% in 2022, with a sizable amount going toward enhancing IT infrastructure.

Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

This data set contains census poverty data for cities and counties in Utah from 2012.

To assist with primary health care planning, Alberta Health has developed a series of reports to provide a broad range of demographic, socio-economic and population health statistics considered relevant to primary health care for communities across the province. These community profiles provide information at the Zone and Local Geographic Area (LGA) level for each of the 132 LGAs in Alberta. Each Profile offers an overview of the current health status of residents in the LGA, indicators of the area's current and future health needs, and evidence as to which quality services are needed on a timely basis to address the area's needs. The profiles are intended to highlight areas of need and provide relevant information to support the consistent and sustainable planning of primary health services.

The Network Cache Acceleration Service market is experiencing robust growth, projected to reach $2801.7 million in 2025. While the provided CAGR is missing, considering the rapid adoption of cloud services, increasing internet traffic, and the critical role of optimization for enhanced user experience, a conservative estimate of 15% CAGR between 2025 and 2033 is plausible. This would place the market value significantly higher by 2033. Key drivers include the escalating demand for faster website loading speeds, improved application performance, and reduced bandwidth costs. The rising adoption of mobile devices and the proliferation of content-rich websites further fuel this market expansion. Businesses across various sectors, including enterprises, government agencies, and personal users, are increasingly adopting network cache acceleration services to optimize their online presence and enhance user engagement. Market segmentation by type (HTTP Optimization, Caching and Prefetching, SSL/TLS Process) reflects the diverse technological approaches employed to achieve performance enhancements, while application-based segmentation highlights the broad applicability across different user groups. The competitive landscape is dynamic, with established players like Nginx, Amazon, and Varnish Software alongside specialized solutions like WP Rocket and W3 Total Cache vying for market share. The geographical distribution of the market mirrors global internet penetration rates, with North America and Europe currently holding significant shares. Continued growth in the Network Cache Acceleration Service market is expected to be driven by the increasing adoption of advanced caching techniques like edge caching and content delivery networks (CDNs). Furthermore, the expanding focus on cybersecurity and the need for secure and efficient SSL/TLS processes will contribute to the market's expansion. While potential restraints include initial implementation costs and the complexity of integrating these services, the long-term benefits in terms of improved performance, reduced infrastructure costs, and enhanced user satisfaction are likely to outweigh these challenges. The market's future will be shaped by technological advancements in caching technologies, the continued growth of cloud computing, and the increasing adoption of 5G and other high-speed internet technologies.

The size of the SSD Caching Market was valued at USD XX USD Million in 2023 and is projected to reach USD XXX USD Million by 2032, with an expected CAGR of 9.2% during the forecast period. SSD caching is a technique used to improve the performance of computer storage systems by utilizing a small, fast SSD (Solid-State Drive) to store frequently accessed data, thereby reducing the time it takes to retrieve that data from slower storage media, such as traditional hard disk drives (HDDs). In an SSD caching setup, the SSD acts as a high-speed intermediary between the CPU and the main storage drive. When the system needs data, it first checks if it's available on the SSD cache. If it is, the data is quickly retrieved from the SSD. If the data is not in the cache, it is read from the slower HDD, and then the most commonly used data is copied to the SSD for future access. This growth is propelled by the increasing adoption of SSDs in data centers, the need for improved storage performance, and the growing popularity of cloud computing. Additionally, government initiatives aimed at promoting energy efficiency and the rising concerns over data security further contribute to market expansion. Major players in the industry include Micron Technology Inc., Inspur Group, ADATA Technology Co. Ltd., Kingston, NetApp Inc., Seagate Technology LLC, QNAP Systems Inc., Edge Memory, Adaptec, SK Hynix Inc., and others. SSD caching finds extensive applications in enterprise storage and personal storage, enabling faster data access and improved system performance. Key drivers for this market are: Increasing Number of SMEs to Boost Music Production Software Demand. Potential restraints include: Complexity of the Product and Lack of Standardization Impede the Market Progress. Notable trends are: Growing Implementation of Touch-based and Voice-based Infotainment Systems to Increase Adoption of Intelligent Cars.

The LIO Topographic Data Cache is a collection of topographic data, that has been preprocessed for fast, seamless display at predefined scales. The topographic data includes constructed and natural features that make up Ontario’s landscape. The cache provides limited data from areas outside Ontario’s boundaries, such as the United States and adjacent provinces and territories. Technical information Two versions of the LIO Topographic Data Cache are available: 1. The traditional raster version is available for a variety of GIS applications and is updated annually. 2. The vector version is suitable for online web map applications as well as modern GIS software and is updated twice a year. Contributing data layers may have different maintenance and update cycles. Some cache layers have been processed in a way that makes it easier for them to be displayed in a mapping product. Other layers are unchanged from the authoritative data. The cartographic symbology used in the data cache is intentionally muted to allow users to showcase their data. The LIO Topographic Data Cache is created from many source datasets, which are described in the LIO Topographic Data Cache user guide. If you are interested in getting this authoritative data, you can download it from the Ontario GeoHub. For instructions on getting a copy of either version of the cache for use in mapping applications, visit the Ontario GeoHub.

This data set contains median home values, demographic detail, educational levels, population data and other socioeconomic data for counties in Utah. Data is from the US Census Bureau.

Cache Server market size is estimated to reach XXX million by 2033, growing at a CAGR of XX% from 2025 to 2033. The increasing demand for high-performance computing, cloud computing, and data analytics, coupled with the rising adoption of digital technologies, are driving the market growth. Furthermore, the growing need for efficient data storage and management, as well as the increasing complexity of IT infrastructure, are further fueling the market expansion. The professional cache server segment is expected to hold a larger market share due to its enhanced performance and reliability for mission-critical applications. Large enterprises are anticipated to be the dominant application segment, owing to their extensive IT infrastructure and data management requirements. North America and Asia Pacific are expected to remain the largest regional markets, with the United States, China, and India being the key contributors. The presence of major technology companies, coupled with the rising adoption of cloud computing and big data analytics, is driving the market growth in these regions. Additionally, increasing government initiatives to promote digital transformation are also contributing to the regional market expansion. The key market players include Cisco Systems Inc., Ericsson AB, ARA Networks, Akamai Technologies Inc., Citrix Systems Inc., Level 3 Communications (CenturyLink), Brocade Communications System Inc. (Broadcom Limited), Huawei Technologies Co. Ltd, Kollective Technology Inc., and IBM Corporation. These companies are engaged in product development, strategic partnerships, and acquisitions to strengthen their market position.

All available bathymetry and related information for Cache Lake were collected and hard copy maps digitized where necessary. The data were validated against more recent data (Shuttle Radar Topography Mission 'SRTM' imagery and Indian Remote Sensing 'IRS' imagery) and corrected where necessary. The published data set contains the lake bathymetry formatted as an Arc ascii grid. Bathymetric contours and the boundary polygon are available as shapefiles.

Update information can be found within the layer’s attributes and in a table on the Utah Parcel Data webpage under LIR Parcels.In Spring of 2016, the Land Information Records work group, an informal committee organized by the Governor’s Office of Management and Budget’s State Planning Coordinator, produced recommendations for expanding the sharing of GIS-based parcel information. Participants in the LIR work group included representatives from county, regional, and state government, including the Utah Association of Counties (County Assessors and County Recorders), Wasatch Front Regional Council, Mountainland and Bear River AOGs, Utah League of Cities and Towns, UDOT, DNR, AGRC, the Division of Emergency Management, Blue Stakes, economic developers, and academic researchers. The LIR work group’s recommendations set the stage for voluntary sharing of additional objective/quantitative parcel GIS data, primarily around tax assessment-related information. Specifically the recommendations document establishes objectives, principles (including the role of local and state government), data content items, expected users, and a general process for data aggregation and publishing. An important realization made by the group was that ‘parcel data’ or ‘parcel record’ products have a different meaning to different users and data stewards. The LIR group focused, specifically, on defining a data sharing recommendation around a tax year parcel GIS data product, aligned with the finalization of the property tax roll by County Assessors on May 22nd of each year. The LIR recommendations do not impact the periodic sharing of basic parcel GIS data (boundary, ID, address) from the County Recorders to AGRC per 63F-1-506 (3.b.vi). Both the tax year parcel and the basic parcel GIS layers are designed for general purpose uses, and are not substitutes for researching and obtaining the most current, legal land records information on file in County records. This document, below, proposes a schedule, guidelines, and process for assembling county parcel and assessment data into an annual, statewide tax parcel GIS layer. gis.utah.gov/data/sgid-cadastre/It is hoped that this new expanded parcel GIS layer will be put to immediate use supporting the best possible outcomes in public safety, economic development, transportation, planning, and the provision of public services. Another aim of the work group was to improve the usability of the data, through development of content guidelines and consistent metadata documentation, and the efficiency with which the data sharing is distributed.GIS Layer Boundary Geometry:GIS Format Data Files: Ideally, Tax Year Parcel data should be provided in a shapefile (please include the .shp, .shx, .dbf, .prj, and .xml component files) or file geodatabase format. An empty shapefile and file geodatabase schema are available for download at:At the request of a county, AGRC will provide technical assistance to counties to extract, transform, and load parcel and assessment information into the GIS layer format.Geographic Coverage: Tax year parcel polygons should cover the area of each county for which assessment information is created and digital parcels are available. Full coverage may not be available yet for each county. The county may provide parcels that have been adjusted to remove gaps and overlaps for administrative tax purposes or parcels that retain these expected discrepancies that take their source from the legally described boundary or the process of digital conversion. The diversity of topological approaches will be noted in the metadata.One Tax Parcel Record Per Unique Tax Notice: Some counties produce an annual tax year parcel GIS layer with one parcel polygon per tax notice. In some cases, adjacent parcel polygons that compose a single taxed property must be merged into a single polygon. This is the goal for the statewide layer but may not be possible in all counties. AGRC will provide technical support to counties, where needed, to merge GIS parcel boundaries into the best format to match with the annual assessment information.Standard Coordinate System: Parcels will be loaded into Utah’s statewide coordinate system, Universal Transverse Mercator coordinates (NAD83, Zone 12 North). However, boundaries stored in other industry standard coordinate systems will be accepted if they are both defined within the data file(s) and documented in the metadata (see below).Descriptive Attributes:Database Field/Column Definitions: The table below indicates the field names and definitions for attributes requested for each Tax Parcel Polygon record.FIELD NAME FIELD TYPE LENGTH DESCRIPTION EXAMPLE SHAPE (expected) Geometry n/a The boundary of an individual parcel or merged parcels that corresponds with a single county tax notice ex. polygon boundary in UTM NAD83 Zone 12 N or other industry standard coordinates including state plane systemsCOUNTY_NAME Text 20 - County name including spaces ex. BOX ELDERCOUNTY_ID (expected) Text 2 - County ID Number ex. Beaver = 1, Box Elder = 2, Cache = 3,..., Weber = 29ASSESSOR_SRC (expected) Text 100 - Website URL, will be to County Assessor in most all cases ex. webercounty.org/assessorBOUNDARY_SRC (expected) Text 100 - Website URL, will be to County Recorder in most all cases ex. webercounty.org/recorderDISCLAIMER (added by State) Text 50 - Disclaimer URL ex. gis.utah.gov...CURRENT_ASOF (expected) Date - Parcels current as of date ex. 01/01/2016PARCEL_ID (expected) Text 50 - County designated Unique ID number for individual parcels ex. 15034520070000PARCEL_ADD (expected, where available) Text 100 - Parcel’s street address location. Usually the address at recordation ex. 810 S 900 E #304 (example for a condo)TAXEXEMPT_TYPE (expected) Text 100 - Primary category of granted tax exemption ex. None, Religious, Government, Agriculture, Conservation Easement, Other Open Space, OtherTAX_DISTRICT (expected, where applicable) Text 10 - The coding the county uses to identify a unique combination of property tax levying entities ex. 17ATOTAL_MKT_VALUE (expected) Decimal - Total market value of parcel's land, structures, and other improvements as determined by the Assessor for the most current tax year ex. 332000LAND _MKT_VALUE (expected) Decimal - The market value of the parcel's land as determined by the Assessor for the most current tax year ex. 80600PARCEL_ACRES (expected) Decimal - Parcel size in acres ex. 20.360PROP_CLASS (expected) Text 100 - Residential, Commercial, Industrial, Mixed, Agricultural, Vacant, Open Space, Other ex. ResidentialPRIMARY_RES (expected) Text 1 - Is the property a primary residence(s): Y'(es), 'N'(o), or 'U'(nknown) ex. YHOUSING_CNT (expected, where applicable) Text 10 - Number of housing units, can be single number or range like '5-10' ex. 1SUBDIV_NAME (optional) Text 100 - Subdivision name if applicable ex. Highland Manor SubdivisionBLDG_SQFT (expected, where applicable) Integer - Square footage of primary bldg(s) ex. 2816BLDG_SQFT_INFO (expected, where applicable) Text 100 - Note for how building square footage is counted by the County ex. Only finished above and below grade areas are counted.FLOORS_CNT (expected, where applicable) Decimal - Number of floors as reported in county records ex. 2FLOORS_INFO (expected, where applicable) Text 100 - Note for how floors are counted by the County ex. Only above grade floors are countedBUILT_YR (expected, where applicable) Short - Estimated year of initial construction of primary buildings ex. 1968EFFBUILT_YR (optional, where applicable) Short - The 'effective' year built' of primary buildings that factors in updates after construction ex. 1980CONST_MATERIAL (optional, where applicable) Text 100 - Construction Material Types, Values for this field are expected to vary greatly by county ex. Wood Frame, Brick, etc Contact: Sean Fernandez, Cadastral Manager (email: sfernandez@utah.gov; office phone: 801-209-9359)

The Middle East and Africa (MEA) Solid State Drive (SSD) caching market, while a fraction of the global market, exhibits significant growth potential driven by the increasing adoption of cloud computing, big data analytics, and virtualization technologies across various sectors. The region's burgeoning digital economy, coupled with government initiatives promoting digital transformation, is fueling demand for high-performance storage solutions like SSD caching. A projected Compound Annual Growth Rate (CAGR) of 7.89% from 2019 to 2033 indicates steady expansion, particularly within enterprise storage applications where improved data access speeds and reduced latency are crucial for business operations. While the current market size is unavailable, extrapolating from global trends and considering the MEA region's unique characteristics (e.g., investments in smart city infrastructure, growing financial technology sector), we can estimate the 2025 market size at approximately $150 million. Key growth drivers include the rising adoption of advanced data center technologies and the increasing need for enhanced data security, especially in financial and government sectors. However, factors such as high initial investment costs and the limited availability of skilled professionals in some MEA countries could potentially restrain market growth. The market is segmented by application (enterprise and personal storage), with enterprise storage currently dominating, fueled by large-scale deployments in data centers and cloud environments. Major players like Intel, Samsung, and Western Digital are establishing a significant presence, facing competition from regional players and focusing on offering tailored solutions to address the unique needs of MEA clients. The forecast period (2025-2033) anticipates a considerable increase in SSD caching adoption across diverse applications, fueled by the continuing digital transformation of various industries. Specifically, we predict robust growth within the financial services, telecommunications, and government sectors. Furthermore, the increasing awareness of data security and the need for disaster recovery solutions are expected to positively impact the MEA SSD caching market. The personal storage segment, while currently smaller, is expected to experience steady growth, driven by increasing consumer demand for high-performance computing devices and applications. However, challenges such as fluctuating oil prices and economic instability in some parts of the region could influence growth trajectories and necessitate careful market monitoring. Ongoing technological advancements, such as the development of faster and more efficient SSD technologies, will continue to shape the landscape of the MEA SSD caching market. Recent developments include: October 2022: Lenovo launched ThinkSystem DM5000H a unified, hybrid storage system developed for midsize companies to deliver performance, simplicity, capacity, security, and high availability. ThinkSystem DM5000H, powered by ONTAP software, provides enterprise-class storage management capabilities with a wide range of host connectivity choices, customizable drive configurations, increased data management tools, and acceleration of read-centric workloads with onboard NVMe SSD caching., September 2022: Amazon Relational Database Service for Oracle supports the instance store for temporary tablespaces and the Database Smart Flash Cache (flash cache) for M5d and R5d instances. M5d and R5d instances are ideal for applications that require high-speed, low-latency local storage, such as those that require temporary data storage for scratch space, temporary files, and caches.. Key drivers for this market are: Improvements Offered by SSDs Over Conventional HDDs, Demand for the Cloud Storage Driving the Market Growth. Potential restraints include: Improvements Offered by SSDs Over Conventional HDDs, Demand for the Cloud Storage Driving the Market Growth. Notable trends are: Enterprise Storage Expected to Hold Major Share.

This data set contains checkbook expenditure data for Utah's 29 counties for fiscal year 2012. This data was migrated from Tranparent.Utah.gov.

This review of literature compiles modeling effort that were undertaken for the Cache Valley, Utah, USA in groundwater (head and concentration), surface water, water quality (temperature, sediments, and chemical contaminants), and climate. In other words, this work is a compilation of the studies that included a modeling framework to model any of the above mentioned systems.

Most of the literature pertaining to the aquifer characterization models in Cache Valley were either obtained from government reports or unpublished work. The review of the literature points to the lack of the use of computer models that are available in the field to model the aquifer. The current models characterizing the aquifer in Cache Valley indicates the need for revising both the conceptual and computer models. The primary reason being differences in the characterization by different workers. However, there has been a steady buildup of conceptual models characterizing the aquifer.

This web map service displays the watercourse network and areas of inland surface water in Queensland. Water areas include lakes,reservoir and man-made canals. This cached service is limited to display at scales between 1:4,622,324 and 1:4,514 and is designed to be used in conjunction with the WaterCoursesAndBodies service for large scale levels from 1:4513 to 1:1.

All available bathymetry and related information for Cache Lake were collected and hard copy maps digitized where necessary. The data were validated against more recent data (Shuttle Radar Topography Mission 'SRTM' imagery and Indian Remote Sensing 'IRS' imagery) and corrected where necessary. The published data set contains the lake bathymetry formatted as an Arc ascii grid. Bathymetric contours and the boundary polygon are available as shapefiles.