The population rate of change of Catawba County, NC was 0.46% in 2017. The population rate of change of Gaston County, NC was 1.08% in 2017. The population rate of change of Anderson County, SC was 0.76% in 2017.
Demographics and Population Datasets Involving Catawba County, NC or Gaston County, NC or Anderson County, SC
- API www.forsythfutures.org | Last Updated 2016-02-16T16:29:51.000Z
This dataset contains information on the rate of accidental deaths for Durham, Guilford, Forsyth, Mecklenburg, and Wake Counties and North Carolina. Accidental deaths are expressed as resident deaths per 100,000 people. Data was collected from the NC Vitals Statistic Reports and is a aggregate of two causes of death: unintentional motor vehicle deaths and other unintentional deaths.
- API www.forsythfutures.org | Last Updated 2019-02-15T01:08:07.000Z
This dataset includes rates on violent crime instances for North Carolina and NC's major urban counties (Durham, Forsyth, Guilford, Mecklenburg and Wake). Years included are 2003 to 2014.
- API www.forsythfutures.org | Last Updated 2019-02-15T01:08:30.000Z
This dataset shows the rate per 100,000 of suicide deaths in 5 Major Urban counties (Durham, Forsyth, Guilford, Mecklenburg, and Wake), and the state of North Carolina. These numbers are calculated to represent a 3-year average.
- API www.forsythfutures.org | Last Updated 2019-02-15T01:09:44.000Z
This dataset includes information pertaining to employment for the United States, North Carolina and NC's major urban counties (Durham, Forsyth, Guilford, Mecklenburg, and Wake).
- API www.forsythfutures.org | Last Updated 2019-02-15T01:09:05.000Z
This dataset includes every census tract for North Carolina. Columns include population of each race and the number of those within each race living in poverty. To be considered "concentrated" poverty, that census tract must have at least 40% of its population living below the poverty line
- API www.forsythfutures.org | Last Updated 2016-02-16T16:37:34.000Z
This dataset is for 2014 only. It includes a racial breakdown of the percentage of residents with associate's degrees or higher for the following geographical areas: United States, North Carolina, and 5 major urban NC counties. The estimates here refer to populations age 25+ with at least an Associate's degree.
- API www.forsythfutures.org | Last Updated 2019-02-15T01:09:19.000Z
This dataset includes data pertaining to concentrated poverty areas and the number of individuals residing within those areas. There are two racial categories included: White Non-Hispanic and an aggregation of all minority groups. Areas included in this dataset are North Carolina and its major urban counties (Durham, Forsyth, Guilford, Mecklenburg, and Wake).
- API www.forsythfutures.org | Last Updated 2019-02-15T01:09:15.000Z
This dataset includes information concerning the percent of the population living in areas with different concentrations of poverty (Less that 20%, 20%-40%, and Over 40%) by age groups (Under 5 years, Under 18 years, 18-64 years and Over 64 years), and race (White Non-Hispanic, African American, and Hispanic/Latino). This dataset includes data for North Carolina and its major urban counties (Durham, Forsyth, Guilford, Mecklenburg, and Wake).
- API data.cdc.gov | Last Updated 2018-06-15T13:22:36.000Z
This dataset describes injury mortality in the United States beginning in 1999. Two concepts are included in the circumstances of an injury death: intent of injury and mechanism of injury. Intent of injury describes whether the injury was inflicted purposefully (intentional injury) and, if purposeful, whether the injury was self-inflicted (suicide or self-harm) or inflicted by another person (homicide). Injuries that were not purposefully inflicted are considered unintentional (accidental) injuries. Mechanism of injury describes the source of the energy transfer that resulted in physical or physiological harm to the body. Examples of mechanisms of injury include falls, motor vehicle traffic crashes, burns, poisonings, and drownings (1,2). Data are based on information from all resident death certificates filed in the 50 states and the District of Columbia. Age-adjusted death rates (per 100,000 standard population) are based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2015 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for non-census years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Causes of injury death are classified by the International Classification of Diseases, Tenth Revision (ICD–10). Categories of injury intent and injury mechanism generally follow the categories in the external-cause-of-injury mortality matrix (1,2). Cause-of-death statistics are based on the underlying cause of death. SOURCES CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov). REFERENCES 1. National Center for Health Statistics. ICD–10: External cause of injury mortality matrix. 2. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm. 3. Murphy SL, Xu JQ, Kochanek KD, Curtin SC, and Arias E. Deaths: Final data for 2015. National vital statistics reports; vol 66. no. 6. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_06.pdf. 4. Miniño AM, Anderson RN, Fingerhut LA, Boudreault MA, Warner M. Deaths: Injuries, 2002. National vital statistics reports; vol 54 no 10. Hyattsville, MD: National Center for Health Statistics. 2006.
- API www.forsythfutures.org | Last Updated 2019-02-15T01:09:50.000Z
This dataset includes information about the percent of students in varying demographic categories that reach proficiency level for the ACT. This dataset includes the following counties: Durham, Forsyth, Guilford, Mecklenburg, and Wake.