- What is the Population Count?
- What is the Percent who did not finish the 9th grade?
- What is the Median Earnings?
- What is the Number of Employees?
- What is the High School Graduation Rate?
- What is the Median Female Earnings?
- What is the Percent Employed?
- What is the Percent with an associate's degree?
- What is the Median Male Earnings?
- What is the College Graduation Rate?
The population rate of change of New England Division was 0.45% in 2014.
Demographics and Population Datasets Involving New England Division
- API health.data.ny.gov | Last Updated 2016-06-09T18:37:43.000Z
Population 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.
- API health.data.ny.gov | Last Updated 2016-06-09T18:39:22.000Z
This dataset contains death counts, crude rates, and adjusted rates by resident county and race/ethnicity. For more information check out: http://www.health.ny.gov/statistics/vital_statistics. The "About" tab contains additional details concerning this dataset.
- API health.data.ny.gov | Last Updated 2016-06-09T18:45:37.000Z
This dataset contains opioid-related death counts and adjusted mortality rates by gender, race/ethnicity, and selected cause of death. The opioid-related deaths include heroin and opioid analgesics mortalities. The "About" tab contains additional details concerning this dataset.
Vital Statistics Deaths by Gender, Age Group, and Race/Ethnicity by Selected Cause of Death: Beginning 2003health.data.ny.gov | Last Updated 2016-06-09T18:38:22.000Z
This dataset contains death counts and crude rates by gender, age group, race/ethnicity, and selected cause of death. For more information check out: http://www.health.ny.gov/statistics/vital_statistics/. The "About" tab contains additional details concerning this dataset.
Vital Statistics Suicide Deaths by Age-Group, Race/Ethnicity, Resident County, Region and Gender: Beginning 2003health.data.ny.gov | Last Updated 2016-06-15T14:12:39.000Z
This dataset contains suicide death counts and adjusted rates by age group, county, region, race/ethnicity, and gender. For more information, check out: http://www.health.ny.gov/statistics/vital_statistics/. The "About" tab contains additional details concerning this dataset.
- API health.data.ny.gov | Last Updated 2016-06-09T18:38:54.000Z
This dataset contains death counts, crude rates and adjusted rates by region, race/ethnicity, and selected cause of death. For more information, check out: http://www.health.ny.gov/statistics/vital_statistics/. The "About" tab contains additional details concerning this dataset.
- API data.cityofgainesville.org | Last Updated 2016-12-01T14:35:42.000Z
Demographic data for job applicants at the City of Gainesville for both General Government and GRU since October 2010.
- API data.nola.gov | Last Updated 2016-02-16T21:27:01.000Z
This data on median household income by race and ethnicity comes from the U.S. Census Bureau's American Community Survey (ACS) one-year estimates, which are published on an annual basis. It includes data for the following cities: Tampa, Florida; Memphis, Tennessee; Louisville, Kentucky; Nashville, Tennessee; Raleigh, North Carolina; Atlanta, Georgia; Baton Rouge, Louisiana; New Orleans, Louisiana. This data covers the time period of 2007 to present.
- API data.austintexas.gov | Last Updated 2015-09-09T16:02:09.000Z
A new component of fair housing studies is an analysis of the opportunities residents are afforded in “racially or ethnically concentrated areas of poverty,” also called RCAPs or ECAPs. An RCAP or ECAP is a neighborhood with significant concentrations of extreme poverty and minority populations. HUD’s definition of an RCAP/ECAP is: • A Census tract that has a non‐white population of 50 percent or more AND a poverty rate of 40 percent or more; OR • A Census tract that has a non‐white population of 50 percent or more AND the poverty rate is three times the average tract poverty rate for the metro/micro area, whichever is lower. Why the 40 percent threshold? The RCAP/ECAP definition is not meant to suggest that a slightly‐lower‐than‐40 percent poverty rate is ideal or acceptable. The threshold was borne out of research that concluded a 40 percent poverty rate was the point at which a neighborhood became significantly socially and economically challenged. Conversely, research has shown that areas with up to 14 percent of poverty have no noticeable effect on community opportunity. (See Section II in City of Austin’s 2015 Analysis of Impediments to Fair Housing Choice: http://www.austintexas.gov/sites/default/files/files/NHCD/Reports_Publications/1Analysis_Impediments_for_web.pdf) This dataset provides socioeconomic data on protected classes from the 2008-2012 American Community Survey on census tracts in Austin’s city limits and designates which of those tracts are considered RCAPs or ECAPs based on these socioeconomic characteristics. A map of the census tracts designated as RCAPs or ECAPs is attached to this dataset and downloadable as a pdf (see below).
- API data.pa.gov | Last Updated 2016-11-08T20:03:29.000Z
This data is pulled from the U.S. Census website. This data is for years Calendar Years 2009-2014. Product: SAHIE File Layout Overview Small Area Health Insurance Estimates Program - SAHIE Filenames: SAHIE Text and SAHIE CSV files 2009 – 2014 Source: Small Area Health Insurance Estimates Program, U.S. Census Bureau. Internet Release Date: May 2016 Description: Model‐based Small Area Health Insurance Estimates (SAHIE) for Counties and States File Layout and Definitions The Small Area Health Insurance Estimates (SAHIE) program was created to develop model-based estimates of health insurance coverage for counties and states. This program builds on the work of the Small Area Income and Poverty Estimates (SAIPE) program. SAHIE is only source of single-year health insurance coverage estimates for all U.S. counties. For 2008-2014, SAHIE publishes STATE and COUNTY estimates of population with and without health insurance coverage, along with measures of uncertainty, for the full cross-classification of: •5 age categories: 0-64, 18-64, 21-64, 40-64, and 50-64 •3 sex categories: both sexes, male, and female •6 income categories: all incomes, as well as income-to-poverty ratio (IPR) categories 0-138%, 0-200%, 0-250%, 0-400%, and 138-400% of the poverty threshold •4 races/ethnicities (for states only): all races/ethnicities, White not Hispanic, Black not Hispanic, and Hispanic (any race). In addition, estimates for age category 0-18 by the income categories listed above are published. Each year’s estimates are adjusted so that, before rounding, the county estimates sum to their respective state totals and for key demographics the state estimates sum to the national ACS numbers insured and uninsured. This program is partially funded by the Centers for Disease Control and Prevention's (CDC), National Breast and Cervical Cancer Early Detection ProgramLink to a non-federal Web site (NBCCEDP). The CDC have a congressional mandate to provide screening services for breast and cervical cancer to low-income, uninsured, and underserved women through the NBCCEDP. Most state NBCCEDP programs define low-income as 200 or 250 percent of the poverty threshold. Also included are IPR categories relevant to the Affordable Care Act (ACA). In 2014, the ACA will help families gain access to health care by allowing Medicaid to cover families with incomes less than or equal to 138 percent of the poverty line. Families with incomes above the level needed to qualify for Medicaid, but less than or equal to 400 percent of the poverty line can receive tax credits that will help them pay for health coverage in the new health insurance exchanges. We welcome your feedback as we continue to research and improve our estimation methods. The SAHIE program's age model methodology and estimates have undergone internal U.S. Census Bureau review as well as external review. See the SAHIE Methodological Review page for more details and a summary of the comments and our response. The SAHIE program models health insurance coverage by combining survey data from several sources, including: •The American Community Survey (ACS) •Demographic population estimates •Aggregated federal tax returns •Participation records for the Supplemental Nutrition Assistance Program (SNAP), formerly known as the Food Stamp program •County Business Patterns •Medicaid •Children's Health Insurance Program (CHIP) participation records •Census 2010 Margin of error (MOE). Some ACS products provide an MOE instead of confidence intervals. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.