- Population
The population rate of change of Middle Atlantic Division was 0.43% in 2014. The population rate of change of South Atlantic Division was 1.12% in 2014.
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 Middle Atlantic Division or South Atlantic Division
- API
Hospital Inpatient Discharges (SPARCS De-Identified): 2014
health.data.ny.gov | Last Updated 2019-09-13T16:31:56.000ZThe Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified File contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges. This data file contains basic record level detail for the discharge. The de-identified data file does not contain data that is protected health information (PHI) under HIPAA. The health information is not individually identifiable; all data elements considered identifiable have been redacted. For example, the direct identifiers regarding a date have the day and month portion of the date removed.
- API
Hospital Inpatient Discharges (SPARCS De-Identified): 2015
health.data.ny.gov | Last Updated 2019-09-13T16:33:50.000ZThe Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified File contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges. This data file contains basic record level detail for the discharge. The de-identified data file does not contain data that is protected health information (PHI) under HIPAA. The health information is not individually identifiable; all data elements considered identifiable have been redacted. For example, the direct identifiers regarding a date have the day and month portion of the date removed.
- API
Local Area Transportation Characteristics by Household 2009
data.bts.gov | Last Updated 2024-08-21T19:59:36.000ZEstimates of average weekday household person trips, vehicle trips, person miles traveled, and vehicle miles traveled (per day), for all Census tracts in the United States for 2009. For latest data (2017), see https://data.bts.gov/Research-and-Statistics/Local-Area-Transportation-Characteristics-by-House/va72-z8hz For methodology, see attachments
- API
2013-2017 American Community Survey Detailed Census Tract Data
data.kcmo.org | Last Updated 2023-03-24T19:40:40.000ZDETAILED CHARACTERISTICS OF PEOPLE AND HOUSING FOR INDIVIDUAL 2010 CENSUS TRACT PORTIONS INSIDE OR OUTSIDE KCMO - Some demographic data are from the 2010 Census while other data are from the 2013-2017 American Community Survey (ACS). The ACS replaces what until 2000 was the Long Form of the census; both have been based on surveys of a partial sample of people. The ACS sample is so small that surveys from five years must be combined to be reliable. The 2013-2017 ACS is the most recent grouping of 5 years of data. ACS data have been proportioned to conform with 2010 Census total population and total households.
- API
2015-2019 American Community Survey Detailed Census Tract Data
data.kcmo.org | Last Updated 2023-03-24T21:11:36.000ZDETAILED CHARACTERISTICS OF PEOPLE AND HOUSING FOR INDIVIDUAL 2010 CENSUS TRACT PORTIONS INSIDE OR OUTSIDE KCMO - Some demographic data are from the 2010 Census while other data are from the 2015-2019 American Community Survey (ACS). The ACS replaces what until 2000 was the Long Form of the census; both have been based on surveys of a partial sample of people. The ACS sample is so small that surveys from five years must be combined to be reliable. The 2015-2019 ACS is the most recent grouping of 5 years of data. ACS data have been proportioned to conform with 2010 Census total population and total households.
- API
Data of Violence against women - Trinidad and Tobago - Survey answers
mydata.iadb.org | Last Updated 2017-10-02T17:17:06.000ZThis file contains data from a survey carried out to establish baseline indicators of women´s needs in the areas of economic autonomy, sexual and reproductive health and services to prevent and redress intimate partner violence in November of 2015 with the participation of 227 women between the ages of 15 and 70 years residing in a low- and middle-income neighborhood in a populated urban area of Trinidad and Tobago. A Word document containing the response key for all questionnaire items is attached as an annex. <br><br><b>Click here to access the data: https://mydata.iadb.org/d/ng9y-d3nb</b></br></br>
- API
Hate Crimes by County and Bias Type: Beginning 2010
data.ny.gov | Last Updated 2023-11-03T18:37:44.000ZUnder New York State’s Hate Crime Law (Penal Law Article 485), a person commits a hate crime when one of a specified set of offenses is committed targeting a victim because of a perception or belief about their race, color, national origin, ancestry, gender, religion, religious practice, age, disability, or sexual orientation, or when such an act is committed as a result of that type of perception or belief. These types of crimes can target an individual, a group of individuals, or public or private property. DCJS submits hate crime incident data to the FBI’s Uniform Crime Reporting (UCR) Program. Information collected includes number of victims, number of offenders, type of bias motivation, and type of victim.
- API
Local Area Transportation Characteristics by Household 2017
data.bts.gov | Last Updated 2024-08-21T20:24:22.000ZEstimates of average weekday household person trips, vehicle trips, person miles traveled, and vehicle miles traveled (per day), for all Census tracts in the United States for 2017.
- API
2015-2019 American Community Survey Basic Census Tract Data
data.kcmo.org | Last Updated 2023-03-24T21:11:24.000ZBASIC CHARACTERISTICS OF PEOPLE AND HOUSING FOR INDIVIDUAL 2010 CENSUS TRACT PORTIONS INSIDE OR OUTSIDE KCMO - Some demographic data are from the 2010 Census while other data are from the 2015-2019 American Community Survey - ACS. The ACS replaces what until 2000 was the Long Form of the census; both have been based on surveys of a partial sample of people. The ACS sample is so small that surveys from five years must be combined to be reliable. The 2015-2019 ACS is the most recent grouping of 5 years of data. ACS data have been proportioned to conform with 2010 Census total population and total households.
- API
Uninsured Population Census Data CY 2009-2014 Human Services
data.pa.gov | Last Updated 2022-10-18T14:19:11.000ZThis 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.