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 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.

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

The 2020 cartographic boundary KMLs 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 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.

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.

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.

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.

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: 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

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

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

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: Firearm-related Deaths per 100,000 Persons (age adjusted)

Definition: Deaths with a firearm-related injury as the underlying cause of death. ICD-10 codes: W32-W34 (unintentional), X72-X74 (suicide), X93-X95 (homicide), Y22-Y24 (undetermined intent), Y35.0 (legal intervention)

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

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

The TIGER/Line Files are shapefiles and related database files (.dbf) that 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 File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. State Legislative Districts (SLDs) are the areas from which members are elected to State legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the State legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by State participants, is assigned to each SLD within a State. In Connecticut, Hawaii, Illinois, Louisiana, Maine, Maryland, Massachusetts, New Jersey, Ohio, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDs to cover all of the State or State equivalent area. In these areas with no SLDs defined, the code "ZZZ" has been assigned, which is treated within county as a single SLD for purposes of data presentation. The boundaries of the 2010 Census State legislative districts were provided by State-level participants through the Redistricting Data Program (RDP) and reflect the districts used to elect members in the last election before 2010.

Rate: Rate Per 100,000 Male Population Aged 65+ Years

Definition: The annual hospitalization rate as a result of fractures to the hip among older adult males ages 65 years and older per 100,000 population.

Data Source:

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

2) Uniform Billing Patient Summary, Division of Health Care Quality and Assessment, New Jersey Department of Health

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.

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

Definition: Deaths rate in which asthma is the underlying cause, CD-10 codes: J45-J46

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

Deployment to measure dissolved oxygen levels in the shallow coastal waters of New Jersey. The National Centers for Environmental Information (NCEI) received the data in this archival package from the Integrated Ocean Observing System's National Glider Data Assembly Center (IOOS NGDAC). The IOOS NGDAC received the data in one or more netCDF files comprising an entire glider deployment. The data are measurements of physical oceanographic properties such as temperature, salinity, conductivity, and density. The IOOS NGDAC checked the files for compliance to their netCDF file convention, aggregated the files into a single netCDF file, and then submitted the file to NCEI for long-term preservation.