The New Jersey Data Center Market is Segmented by DC Size (Small, Medium, Large, Massive, Mega), Tier Type (Tier 1&2, Tier 3, Tier 4), Absorption (Utilized (Colocation Type (Retail, Wholesale, Hyperscale), End User ( Cloud & IT, Telecom, Media & Entertainment, Government, BFSI, Manufacturing, E-Commerce)), and Non-Utilized). The Market Sizes and Forecasts are Provided in Terms of Value (MW) for all the Above Segments.

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 is experiencing a surge in data center construction, with the power supply under construction reaching *** gigawatts in 2024. This marks a *** percent increase from previous years, reflecting the growing demand for data storage and processing capabilities across the country. The rapid expansion of data centers underscores their crucial role in supporting the digital infrastructure that powers businesses and consumers alike. Northern Virginia leads the charge Northern Virginia has emerged as the epicenter of data center growth in the United States. In 2023, the region boasted the highest existing data center power capacity, solidifying its position as the market with the largest data center inventory in the country. Furthermore, Northern Virginia continues to dominate new construction efforts, with data centers under construction in the second half of 2024 set to add a staggering *** gigawatts of power capacity. This far outpaces other major markets such as Dallas, Austin, and NYC-NJ combined. Cloud infrastructure fuels growth The expansion of data centers is closely tied to the increasing adoption of cloud infrastructure services. Enterprise spending on cloud infrastructure services has soared in the past decade, fueled by organizations' growing demand for modern networking, storage, and database solutions. As companies continue to migrate their operations to the cloud, the need for robust data center facilities is expected to rise, further propelling the construction boom.

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

The United States Data Center Market is segmented by Hotspot (Atlanta, Austin, Boston, Chicago, Dallas, Houston, Los Angeles, New Jersey, New York, Northern California, Northern Virginia, Northwest, Phoenix, Salt Lake City), by Data Center Size (Large, Massive, Medium, Mega, Small), by Tier Type (Tier 1 and 2, Tier 3, Tier 4) and by Absorption (Non-Utilized, Utilized). Market Volume in Megawatt (MW) is presented. Key Data Points observed include IT load capacity for existing and upcoming data centers, current and upcoming hotspots, average mobile data consumption, volume of fiber cable connectivity in KM, existing and upcoming submarine cables, rack space utilization, and number of data centers by tier.

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.

USE geoid TO JOIN DATA DOWNLOADED FROM DATA.CENSUS.GOV The TIGER/Line Shapefiles are extracts of selected geographic and cartographic information from the Census Bureau's Master Address File (MAF)/Topologically Integrated Geographic Encoding and Referencing (TIGER) System (MTS). The TIGER/Line Shapefiles contain a standard geographic identifier (GEOID) for each entity that links to the GEOID in the data from censuses and surveys. The TIGER/Line Shapefiles do not include demographic data from surveys and censuses (e.g., Decennial Census, Economic Census, American Community Survey, and the Population Estimates Program). Other, non-census, data often have this standard geographic identifier as well. Data from many of the Census Bureau’s surveys and censuses, including the geographic codes needed to join to the TIGER/Line Shapefiles, are available at the Census Bureau’s public data dissemination website (https://data.census.gov/). Block Groups (BGs) are statistical divisions of census tracts, are generally defined to contain between 600 and 3,000 people, and are used to present data and control block numbering. A block group consists of clusters of blocks within the same census tract that have the same first digit of their four-digit census block number. For example, blocks 3001, 3002, 3003, . . . , 3999 in census tract 1210.02 belong to BG 3 in that census tract. Most BGs were delineated by local participants in the Census Bureau’s Participant Statistical Areas Program (PSAP). The Census Bureau delineated BGs only where a local or tribal government declined to participate in PSAP, and a regional organization or the State Data Center was not available to participate. A BG usually covers a contiguous area. Each census tract contains at least one BG, and BGs are uniquely numbered within the census tract. Within the standard census geographic hierarchy, BGs never cross state, county, or census tract boundaries, but may cross the boundaries of any other geographic entity. Tribal census tracts and tribal BGs are separate and unique geographic areas defined within federally recognized American Indian reservations and can cross state and county boundaries (see “Tribal Census Tract” and “Tribal Block Group”). The tribal census tracts and tribal block groups may be completely different from the standard county-based census tracts and block groups defined for the same area. Downloaded from https://www2.census.gov/geo/tiger/TIGER2022/BG/ on June 22, 2023

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.

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

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.

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 (per 100,000) due to end-stage renal disease.

Definition: Deaths with end-stage renal disease (ESRD) as the underlying cause of death ICD-10 code: N18.0 (1999-2010), N18.5 (2011 and after).

Data Sources:

(1) Centers for Disease Control and Prevention, National Center for Health Statistics

(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

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.

Rate: Age-adjusted death rate, number of deaths due to diabetes, per 100,000 population.

Definition: Deaths with diabetes as the underlying cause of death (ICD-10 codes: E10-E14).

Data Sources:

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

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

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.

Rate: Number of deaths due to falls per 100,000 adults age 65+

Definition: Deaths with a fall-related injury as the underlying cause (ICD-10 codes: W00-W19)

Data Source:

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

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

History: MAR 2014 - 2020 targets based on 2006-2008 data

MAR 2017 - Baseline year changed from 2006-2008 to 2009-2011 - 2020 targets modified to reflect a 10% improvement over the 2009-2011 baseline for total population and all racial/ethnic groups

Rate: Number of deaths (per 100,000) due to HIV disease

Definition: Deaths with human immunodeficiency virus (HIV) disease as the underlying cause (ICD-10 codes: B20-B24).

Data Sources:

(1) Centers for Disease Control and Prevention, National Center for Health Statistics

(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

Rate: Age-adjusted death rate, number of deaths due to stroke, per 100,000 population.

Definition: Rate of deaths with cerebrovascular disease (stroke) as the underlying cause (ICD-10 codes: I60-I69).

Data Sources:

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

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