The population rate of change of Maryland was 1.05% in 2010. The population rate of change of New Jersey was 0.82% in 2010.
Population
Population Change
Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API -
Demographics and Population Datasets Involving New Jersey or Maryland
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NYCHA Resident Data Book Summary
data.cityofnewyork.us | Last Updated 2020-02-08T00:56:30.000ZContains resident demographic data at a summary level as of January 1, 2019. The Resident Data Book is compiled to serve as an information source for queries involving resident demographic as well as a source of data for internal analysis. Statistics are compiled via HUD mandated annual income reviews involving NYCHA Staff and residents. Data is then aggregated and compiled by development. Each record pertains to a single public housing development.
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New York State Population Data: Beginning 2003
health.data.ny.gov | Last Updated 2024-03-07T16:13:08.000ZPopulation data file is provided as an additional reference file when interpreting vital statistics death rates. The population data is derived from the corresponding release of the NCHS annual estimates of "Bridged Race Vintage" which are consistent with the Bureau of the Census estimates from "Vintage" (released in the summer). For more information, check out: http://www.health.ny.gov/statistics/vital_statistics/. The "About" tab contains additional details concerning this dataset.
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Percent Of Middle School Students (grades 7-8) Who Smoke Cigarettes, New Jersey, by year: Beginning 2014
healthdata.nj.gov | Last Updated 2017-08-30T17:19:32.000ZRatio: Percentage of middle school (7th-8th grade) students who have used cigarettes on one or more days in the 30 days preceding the survey. Definition: Percentage of middle school (grades 7-8) students who have used cigarettes on one or more days in the 30 days preceding the survey. Data Source: NJDHS DMHAS NJ Middle School Risk and Protective Factor Survey History: FEB 2017 - Data source for this indicator changed to New Jersey Youth Tobacco Survey (YTS) starting with 2014 data. Previous data years were based on PRIDE survey data, New Jersey Department of Human Services. MAR 2017 - Baseline year changed from 2010 to 2014, since YTS and PRIDE data are not comparable. - 2020 targets modified to reflect a 10% improvement over the 2014 baseline for total population and all racial/ethnic groups
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Vital Statistics Deaths by Resident County, Region, and Race/Ethnicity: Beginning 2003
health.data.ny.gov | Last Updated 2024-03-07T15:52:48.000ZThis dataset contains death counts by resident county and race/ethnicity. For more information check out: http://www.health.ny.gov/statistics/vital_statistics.
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Vital Statistics Suicide Deaths by Age-Group, Race/Ethnicity, Resident Region, and Gender: Beginning 2003
health.data.ny.gov | Last Updated 2024-03-07T15:57:14.000ZThis dataset contains suicide death counts by region, race or ethnicity, sex, and age group. For more information, check out: http://www.health.ny.gov/statistics/vital_statistics/.
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Chronic kidney disease death rate, New Jersey, by year: Beginning 2010
healthdata.nj.gov | Last Updated 2020-09-28T15:59:39.000ZThis measure is being tracked for informational purposes. If warranted, a target will be set during the decade. Rate: Number of deaths due to kidney disease per 100,000 population. Definition: Deaths with nephritis, nephrotic syndrome, and nephrosis (kidney disease) as the underlying cause (ICD-10 codes: N00-N07, N17-N19, N25-N27). 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.
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Percentage of high school students who played video or computer games or used a computer for something that was not school work more than 3 hours per day, New Jersey: Beginning 2009 (odd years only)
healthdata.nj.gov | Last Updated 2020-09-18T15:52:54.000ZDefinition: The percentage of students who play video/computer games and use the internet for a specified number of hours per day on an average school day Data Source: Student Health Survey, Office of Student Support Services, New Jersey Department of Education History: MAR 2017 - Chart and table titles corrected to read as "More Than 3 Hours Per Day." They were erroneously labeled previously as "2 or Less Hours Per Day." - All 2010-2014 data were updated for total population and all racial/ethnic groups - 2020 targets modified to reflect a 10% improvement over the 2010 baseline for total population and all racial/ethnic groups
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Infant death rate (per 1,000 live births), New Jersey, by year: Beginning 2010
healthdata.nj.gov | Last Updated 2020-10-29T12:31:40.000ZRate: Number of deaths occurring in infants under 1 year of age in a given year per 1,000 live births. Definition: Rate of death occurring under 1 year of age in a given year per 1,000 live births to resident mothers in the same year. Data Sources: (1) New Jersey Birth Certificate Database, (2) Linked Infant Death-Birth Database, New Jersey History: MAR 2014 - 2020 target based on 2007 data. MAR 2017 - Baseline year changed from 2007 to 2010. - 2020 targets modified to reflect a 10% improvement over 2010 baseline for total population and all racial/ethnic groups
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Percent of women who report smoking while pregnant, New Jersey, by year: Beginning 2010
healthdata.nj.gov | Last Updated 2020-12-07T16:34:53.000ZRatio: Percent of live births whose mothers reportedly used any tobacco product. Definition: Self-reported use of any tobacco product by the mother during pregnancy. Note: Denominator includes mothers with unknown tobacco use status (approx. 5% of birth records). Source: Birth Certificate Database, Office of Vital Statistics and Registry, New Jersey Department of Health; Retrieved on December 22, 2014 from New Jersey Department of Health, Center for Health Statistics, New Jersey State Health Assessment Data: http://nj.gov/health/shad. History: MAR 2017 - 2010-2014 baseline data updated for total population and all racial/ethnic groups - Baseline year changed from 2008 to 2010 - 2020 targets adjusted for total and all racial/ethnic groups to reflect a 10% improvement over the 2010 baseline
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NYSERDA Low- to Moderate-Income New York State Census Population Analysis Dataset: Average for 2013-2015
data.ny.gov | Last Updated 2019-11-15T22:30:02.000ZHow does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov. The Low- to Moderate-Income (LMI) New York State (NYS) Census Population Analysis dataset is resultant from the LMI market database designed by APPRISE as part of the NYSERDA LMI Market Characterization Study (https://www.nyserda.ny.gov/lmi-tool). All data are derived from the U.S. Census Bureau’s American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS) files for 2013, 2014, and 2015. Each row in the LMI dataset is an individual record for a household that responded to the survey and each column is a variable of interest for analyzing the low- to moderate-income population. The LMI dataset includes: county/county group, households with elderly, households with children, economic development region, income groups, percent of poverty level, low- to moderate-income groups, household type, non-elderly disabled indicator, race/ethnicity, linguistic isolation, housing unit type, owner-renter status, main heating fuel type, home energy payment method, housing vintage, LMI study region, LMI population segment, mortgage indicator, time in home, head of household education level, head of household age, and household weight. The LMI NYS Census Population Analysis dataset is intended for users who want to explore the underlying data that supports the LMI Analysis Tool. The majority of those interested in LMI statistics and generating custom charts should use the interactive LMI Analysis Tool at https://www.nyserda.ny.gov/lmi-tool. This underlying LMI dataset is intended for users with experience working with survey data files and producing weighted survey estimates using statistical software packages (such as SAS, SPSS, or Stata).