The size of the New Jersey Data Center market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 4.90% during the forecast period.The New Jersey data center market plays a major role in the global data center landscape. Data centers are special-purpose facilities designed to house and protect computer systems, as well as associated components like telecommunications and storage systems. The facilities provide high availability and reliability for critical IT infrastructure. Data centers are very important for businesses and organizations of any size, as they provide the capacity to store, process, and manage massive amounts of data efficiently and in a secure manner. They support many applications, including cloud computing, e-commerce, financial transactions, and research work, among many others. Recent developments include: August 2022: NovoServe, based in the Netherlands, will open its first data center in the United States. NovoServe will open the first phase of its New Jersey data center. The bare-metal hosting specialist's US expansion will enable its network customers to serve the US and Canadian East Coast with sub-20ms latency., April 2023: Continent 8 Technologies officially opens the third stage of its Atlantic City data center development. Continent 8, the premier provider of managed hosting, connectivity, and security solutions to the global gambling sector, has increased capacity by 30% in its Atlantic City data center. The Casino Reinvestment Development Authority (CRDA) approved the stage three extension, which included constructing a 5,330 sq ft Modular Data Centre (MDC) on the site.. Key drivers for this market are: Growing Adoption of Cloud Services is expected to flourish the market, Increasing Growth in Wholesale Datacenter Multi-tenant Spaces to propel demand (albeit from a lower base); Increased Emphasis on Compliance with Data Regulations and Cost-Effective Nature of Multi-tenant Facilities to Drive Adoption among SME's. Potential restraints include: Dependence on Regulatory Landscape & Stringent Security Requirements. Notable trends are: Cloud Computing in BFSI is anticipated to hold a significant share.

The United States Data Center Market report segments the industry into Hotspot (Atlanta, Austin, Boston, Chicago, Dallas, Houston, Los Angeles, New Jersey, New York, Northern California, Northern Virginia, Northwest, Phoenix, Salt Lake City, Rest of United States), Data Center Size (Large, Massive, Medium, Mega, Small), Tier Type (Tier 1 and 2, Tier 3, Tier 4), and Absorption (Non-Utilized, Utilized).

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. Public Use Microdata Areas (PUMAs) are decennial census areas that permit the tabulation and dissemination of Public Use Microdata Sample (PUMS) data, American Community Survey (ACS) data, and data from other census and surveys. For the 2020 Census, the State Data Centers (SDCs) in each state, the District of Columbia, and the Commonwealth of Puerto Rico had the opportunity to delineate PUMAS within their state or statistically equivalent entity. All PUMAs must nest within states and have a minimum population threshold of 100,000 persons. 2020 PUMAs consist of census tracts and cover the entirety of the United States, Puerto Rico and Guam. American Samoa, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands do not contain any 2020 PUMAs because the population is less than the minimum population requirement. Each PUMA is identified by a 5-character numeric census code that may contain leading zeros and a descriptive name. The 2020 PUMAs will appear in the 2022 TIGER/Line Shapefiles.

In 2024, Silicon Valley was the area in the United States where building a data center was the most expensive. Additionally, data center construction costs in Silicon Valley increased at a faster pace than in other areas of the country since 2019. New Jersey was not far behind, as it also had relatively high costs. Meanwhile, Phoenix, Atlanta, and Dallas were the cheapest cities to build data centers.

This document is an overview of the Open Data Center and the publishing procedures for this site.

Comprehensive dataset of 17 Information centers in New Jersey, United States 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.

Comprehensive dataset of 9 Skydiving centers in New Jersey, United States 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.

U.S. Census Bureau QuickFacts statistics for Franklin Center CDP, New Jersey. 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.

Information about all the assets on Data.NJ.Gov including information about their API's and how to use them.

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. This downloadable file includes two file geodatabases: one contains census 2010 boundaries, extracted from the MTDB in 2020; the second contains census 2020 boundaries, extracted from the MTDB in 2020. The feature classes were re-projected from Census Bureau shapefiles for New Jersey. This product contains only geographic boundaries and minimal attributes. The population count data required for redistricting is released separately (and later) by the U.S. Census Bureau and by the NJ Department of Labor State Data Center.For additional references to explain the data, see metadata records attached to each feature class, and Supplemental Information in this record.

The 2020 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. Public Use Microdata Areas (PUMAs) are decennial census areas that permit the tabulation and dissemination of Public Use Microdata Sample (PUMS) data, American Community Survey (ACS) data, and data from other census and surveys. For the 2020 Census, the State Data Centers (SDCs) in each state, the District of Columbia, and the Commonwealth of Puerto Rico had the opportunity to delineate PUMAS within their state or statistically equivalent entity. All PUMAs must nest within states and have a minimum population threshold of 100,000 persons. 2020 PUMAs consist of census tracts and cover the entirety of the United States, Puerto Rico and Guam. American Samoa, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands do not contain any 2020 PUMAs because the population is less than the minimum population requirement. Each PUMA is identified by a 5-character numeric census code that may contain leading zeros and a descriptive name.

U.S. Census Bureau QuickFacts statistics for Bridgewater Center CDP, New Jersey. 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.

Comprehensive dataset of 99 Tourist information centers in New Jersey, United States as of August, 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.

The Edge Data Center Market size was valued at USD 9.30 USD Billion in 2023 and is projected to reach USD 35.11 USD Billion by 2032, exhibiting a CAGR of 20.9 % during the forecast period. Edge data centers are structured facilities set up in the nearby user’s area to provide, alongside other cloud computing services, cached content to their consumers, driving speed and reducing latency by cutting the distance that data has to travel. The creation of these centers enables the user to interact with their desired computational power piece much closer to their actual location resulting in an improved user experience for people when applying, streaming, and using their online option. Through placing most of the data locally, they decrease the needed time for data to travel between users of the application and central data center. Usually a smaller edge data center is combined with the head one which is in a large city, forming a network model of edge computing. This organization reduces time and better accommodates latency for applications that are timely, for example gaming in real time, video streaming, IoT devices and critical company functions. Characteristics of edge data centers include location near the end user, the ability to cater for variable workloads, the hauling capacity for high internet speed connectivity as well as caching process used to store the most recently accessed content close to the users. They have multiple uses such as web use enhancement, Internet of Things (IoT) supporting, and real-time low latency and fault-proofed applications. Recent developments include: July 2023: Ubiquity acquired a data center solutions company, EdgePresence, and expanded its product portfolio. This acquisition would help the company to speed up its commitment to focus on ownership of critical last-mile network infrastructure assets., July 2023: American Tower announced its plans to build a new edge data center in San Antonio, Texas. The company has filed to build what is listed as the ‘American Tower Data Center - Highway 90’ with the Texas Department of Licensing and Regulation., June 2023: Edge Centres completed the acquisition of a facility in Reston, Virginia. In addition, the company intends to develop 20 facilities in the U.S. in the coming three years. In an attempt to achieve this, the company has been exploring potential additions to its product portfolio in New Jersey., February 2023: Varanium Cloud introduced a containerized data center in Maharashtra with the aim of catering to tier-two cities with technology, internet, and digital services. The newly launched edge data center is based in the town of Kudal in the Sindhudurg district under the company’s Hydra Web Services unit., February 2023: AtlasEdge acquired Datacenter One with the objective of expanding its geographical footprint and customer base. The acquired company has over 140+ end users, four state-of-the-art data centers in Leverkusen and Dusseldorf, and two in Stuttgart.. Key drivers for this market are: Governmental Push Accelerates the Demand for Edge Data Center Solutions. Potential restraints include: Rise in Energy Costs, Supply Chain and Component Shortages, and Cybersecurity Concerns May Hamper the Market Growth. Notable trends are: Technological Advancements, Video Streaming Services, and Well-crafted Business Strategies Adopted by Market Leaders .

This resource is a member of a series. 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. Public Use Microdata Areas (PUMAs) are decennial census areas that permit the tabulation and dissemination of Public Use Microdata Sample (PUMS) data, American Community Survey (ACS) data, and data from other census and surveys. For the 2020 Census, the State Data Centers (SDCs) in each state, the District of Columbia, and the Commonwealth of Puerto Rico had the opportunity to delineate PUMAS within their state or statistically equivalent entity. All PUMAs must nest within states and have a minimum population threshold of 100,000 persons. 2020 PUMAs consist of census tracts and cover the entirety of the United States, Puerto Rico and Guam. American Samoa, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands do not contain any 2020 PUMAs because the population is less than the minimum population requirement. Each PUMA is identified by a 5-character numeric census code that may contain leading zeros and a descriptive name.

Rate: Number of deaths due to all kinds of Cancer per 100,000 Population.

Definition: Number of deaths per 100,000 with malignant neoplasm (cancer) as the underlying cause (ICD-10 codes: C00-C97).

Data Sources:

(1) Centers for Disease Control and Prevention, National Center for Health Statistics. Compressed Mortality File. CDC WONDER On-line Database accessed at http://wonder.cdc.gov/cmf-icd10.html

(2) Death Certificate Database, Office of Vital Statistics and Registry, New Jersey Department of Health

(3) Population Estimates, State Data Center, New Jersey Department of Labor and Workforce Development

Age-adjusted death rate due to suicide, New Jersey.

Rate: Number of suicides per 100,000 persons (age-adjusted).

Definition: Deaths with suicide as the underlying cause. Suicide is defined as death resulting from the intentional use of force against oneself. ICD-10 codes: X60-X84, Y87.0

Data Sources:

1) Centers for Disease Control and Prevention, National Center for Health Statistics. Compressed Mortality File. CDC WONDER On-line Database accessed at http://wonder.cdc.gov/cmf-icd10.html

2) Death Certificate Database, Office of Vital Statistics and Registry, New Jersey Department of Health

3) Population Estimates, State Data Center, New Jersey Department of Labor and Workforce Development

Comprehensive dataset of 1,122 Learning centers in New Jersey, United States 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.

This data is a graphical representation of the listing of licensed active child care centers in NJ. It was created for the State of New Jersey's initiative regarding child care centers near contaminated sites. The Child Care Centers GIS layer contains all active, licensed child care facilities within the State of New Jersey based on a spreadsheet provided to the NJDEP Site Remediation Waste Management Program (SRWMP) by the New Jersey Department of Children and Families (NJDCF) Office of Licensing. This monthly report also includes facilities operating in public schools (FOIPS) although these facilities are not required in most cases to submit environmental data to the NJDEP for NJDCF licensing. Proposed child care centers are not listed until a NJDCF License number is issued. ADVISORY: This data was created only to be used as guidance to find active child care centers. The data should not be used as the determining factor in conducting receptor evaluations and the actions taken to protect them. The child care data will be updated on a monthly basis as monthly updates of active child care facilities operation in New Jersey are provided to the NJDEP SRWMP by the NJDCF Office of Licensing. Users are hereby notified that data on NJDEP mapping applications for this data set may be more current than any downloadable shapefile, if provided.

A guide to using the new Open Data Center and to understanding

differences between it and the original YourMoney’s online query engines.