Coastal Plain
Region
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Indicators
#permalink to sectionHealth is largely determined by social, economic, behavioral, and environmental factors, all of which affect health outcomes. These factors, known as social determinants of health, can serve as a barometer for regional wellness and quality of life.
21 social determinants of health were selected, as part of the Healthy NC 2030 initiative, to be a public health focus for the state's next decade. This overview radar chart explores how the Coastal Plain Region is doing in comparison to the rest of the state for all indicators. Indicators closer to the circle's center are more of a challenge in this region, while indicators closer to the edge of the circle are regional strengths.
- Overview
- Social & Economic Factors
- Physical Environment
- Health Behaviors
- Clinical Care
- Health Outcomes
Coastal Plain (2020): 42%, of the population
Healthy NC State Target (2030): 27%, of the population
Percentage of individuals with household incomes at or below 200% of the Federal Poverty Level.
In 2021, to be below the 200% FPL threshold, an individual living alone would need to make $25,760 a year or less. A household of four would need to make $53,000 or less total.
Poverty
#permalink to sectionPoverty in the Region
#permalink to sectionHighest rate of individuals below 200% FPL: 51.6%, Halifax
Lowest rate of individuals below 200% FPL: 31.2%, Gates
The map shows the percentage of individuals below 200% Federal Poverty Level (FPL) in the Coastal Plain Region as well as the average yearly change in this metric.
In 2020, the percentage of individuals below 200% FPL in the Coastal Plain Region was 42%. The county with the highest rate of individuals below 200% FPL was Halifax (51.6%), while the county with the lowest was Gates (31.2%).
*When the count of affected people is less than 10, the data is not displayed.
Poverty in the State
#permalink to sectionThe graph shows the ranking of counties in North Carolina by percentage of individuals below the poverty threshold.
By default, the ranking is shown for the 200% FPL threshold, but it is possible to change to other poverty thresholds with the Poverty Level dropdown selector above.
Using the Highest 25 and Lowest 25 buttons, it is possible to toggle between the 25 geographies with the highest and lowest values in the state.
*When the count of affected people is less than 10, the data is not displayed.
Poverty by Race and Ethnicity
#permalink to sectionThe graph shows the percentage of individuals below the FPL in the Coastal Plain Region by race and ethnicity from 2010 to 2020. By default, all races and ethnicities are shown. It is possible to hide a race or ethnicity by clicking it in the chart legend.
In 2020, the percent of individuals below 100% FPL in the Coastal Plain Region was 42%. The population with the highest percentage of individuals below the FPL was American Indian or Alaskan Native (33.9%), while the population with the lowest was Hawaiian Native or Pacific Islander (6.84%).
*When the count of affected people is less than 10, the data is not displayed.
Poverty by Sex and Age
#permalink to sectionHighest Rate of Individuals Below 100% FPL 2020: 40.5%, Female, 15 years
Lowest Rate of Individuals Below 100% FPL 2020: 9.07%, Male, 65 - 74 years
The graph shows the percentage of individuals below the FPL in the Coastal Plain Region by age and sex.
In 2020, the group with the highest percentage of individuals below 100% FPL by age and sex were female, 15 years (40.5%). The lowest percentage of individuals below 100% FPL by age and sex were male, 65 - 74 years (9.07%).
*When the count of affected people is less than 10, the data is not displayed.
Poverty Trend
#permalink to sectionThe graph shows the trend of the percentage of individuals living below the poverty threshold, as well as this metric's projection until 2030. By default, the trend is shown for the 200% FPL threshold, but it is possible to change to other poverty thresholds with the Poverty Level dropdown selector above.
In Bertie County, 50.2% of the population was living below 200% FPL in 2020. Between 2012 and 2020, Bertie County saw a 0.25% average annual decrease in this indicator.
*When the count of affected people is less than 10, the data is not displayed.
Coastal Plain (2020): 7.66%, of the population
Healthy NC State Target (2030): 1.7, Disparity ratio between white and other populations
Percentage of individuals aged 16 and older who are in the labor force, but unemployed.
Individuals must be seeking work to be considered unemployed.
Unemployment
#permalink to sectionUnemployment in the Region
#permalink to sectionHighest Unemployment Rate 2020: 9.99%, Bertie
Lowest Unemployment Rate 2020: 5.4%, Wayne
The map shows the unemployment rate in the Coastal Plain Region as well as the average yearly change in this metric.
In 2020, the unemployment rate in the Coastal Plain Region was 7.66%. The county with the highest unemployment rate was Bertie (9.99%), while the county with the lowest unemployment rate was Wayne (5.4%).
*When the count of affected people is less than 10, the data is not displayed.
Unemployment in the State
#permalink to sectionThe graph shows the ranking of counties in North Carolina by the unemployment rate.
Using the Highest 25 and Lowest 25 buttons, it is possible to toggle between the 25 geographies with the highest and lowest values in the state.
*When the count of affected people is less than 10, the data is not displayed.
Unemployment by Race and Ethnicity or Age
#permalink to sectionHighest unemployment rate by race: 11.3%, Black
Lowest unemployment rate by race: 4.7%, American Indian or Alaskan Native
The graph shows the unemployment rate in the Coastal Plain Region by race and ethnicity, or age.
In 2020, the population with the highest unemployment rate by race and ethnicity in the Coastal Plain Region was: Black (11.3%), 2+ races (8.73%), and Other (7.83%).
*When the count of affected people is less than 10, the data is not displayed.
Unemployment by Sex
#permalink to sectionThe graph shows the unemployment rate in the Coastal Plain Region by sex from 2010 to 2020, for the population between 20 and 64 years of age.
In 2020, female unemployment rate was 6.98%, while the male unemployment rate was 7.44%.
From 2010 to 2020, the female unemployment rate decreased 2.41% (from 9.39% to 6.98%), while the male unemployment rate decreased 1.65% (from 9.09% to 7.44%).
*When the count of affected people is less than 10, the data is not displayed.
Unemployment Trend
#permalink to sectionThe graph shows the trend of the unemployment rate, as well as this metric's projection until 2030. It is possible to change the county and sex with the selectors above.
The graph shows the trend of the unemployment rate in the county, as well as this metric's projection and target until 2030. By default, the trend is shown for all the population, but it is possible to change the sex with the selector above.
In Bertie County the unemployment rate reached 9.99% in 2020. Between 2010 and 2020, Bertie County saw a 0.11% average annual decrease in this indicator.
*When the count of affected people is less than 10, the data is not displayed.
Coastal Plain (2019): 1.93, suspensions per 10 students
Healthy NC State Target (2030): 0.8, suspensions per 10 students
Number of out-of-school short-term suspensions in educational facilities for all grades per 10 students.
A short-term suspension is 10 days or less. Data reflect total numbers of short-term suspensions that may include multiple suspensions per student.
Short-Term Suspension
#permalink to sectionShort-term Suspension by County
#permalink to sectionHighest Short-term Suspension per 10 Students: 4.56, Edgecombe (2019)
Lowest Short-term Suspension per 10 Students: 0.72, Gates (2019)
The map shows the short-term suspension rate per 10 students in the Coastal Plain Region as well as the average yearly change in this metric.
In 2019, the short-term suspension rate in the Coastal Plain Region was 1.93 per 10 students. The county with the highest short-term suspension rate was Edgecombe (4.56), while the county with the lowest short-term suspension rate was Gates (0.72).
*When the count of affected people is less than 10, the data is not displayed.
Short-term Suspension in the State
#permalink to sectionThe graph shows the ranking of counties in North Carolina by the short-term suspension rate per 10 students or the average yearly change.
Using the Highest 25 and Lowest 25 buttons, it is possible to toggle between the 25 geographies with the highest and lowest values in the state.
*When the count of affected people is less than 10, the data is not displayed.
Short-term Suspension by Race and Ethnicity
#permalink to sectionThe graph shows the short-term suspension rate per 10 students in the Coastal Plain Region by race and ethnicity from 2014 to 2019.
In 2019, the population with the highest short-term suspension rate was African American (5.19), while the population with the lowest short-term suspension rate was Asian (0.65).
*When the count of affected people is less than 10, the data is not displayed.
Coastal Plain (2020): 177, per 100,000 population
Healthy NC State Target (2030): 150, per 100,000 population
Incarceration in prisons per 100,000 population.
Incarcerated individuals are tallied in the county they resided in when they were first incarcerated, not where they are currently incarcerated.
Incarceration
#permalink to sectionIncarceration by County
#permalink to sectionHighest incarceration rate per 100,000 population: 241, Martin (2020)
Lowest incarceration rate per 100,000 population: 47.7, Gates (2020)
The map shows the incarceration rate per 100,000 population in the Coastal Plain Region as well as the average yearly change in this metric.
In 2020, the incarceration rate in the Coastal Plain Region was 177 per 100,000 population. The county with the highest incarceration rate was Martin (241), while the county with the lowest incarceration rate was Gates (47.7).
*When the count of affected people is less than 10, the data is not displayed.
Incarceration in the State
#permalink to sectionThe graph shows the ranking of counties in North Carolina by the incarceration rate per 100,000 population.
Using the Highest 25 and Lowest 25 buttons, it is possible to toggle between the 25 geographies with the highest and lowest values in the state.
*When the count of affected people is less than 10, the data is not displayed.
Incarceration by Race and Ethnicity, and Sex
#permalink to sectionThe graph shows the incarceration rate per 100,000 population in the Coastal Plain Region by race and ethnicity, and sex.
In 2020, the population with the highest incarceration rate was Black (323), while the population with the lowest incarceration rate was White (73.8).
*When the count of affected people is less than 10, the data is not displayed.
North Carolina (2016-17): 23.6%, of children
Healthy NC State Target (2030): 18.0%, of the population
Percentage of children who have experienced two or more of the following: hard to get by on money, parent/guardian divorced or separated, parent/guardian died, parent/guardian served time in jail, saw or heard violence in the home, victim/witness of neighborhood violence, lived with anyone mentally ill, suicidal or depressed, live with anyone with alcohol or drug problem, often treated or judged unfairly due to race/ethnicity.
This indicator, chosen by the Healthy NC 2030 taskforce, is not available at a geographic level less than regional.
Adverse Childhood Experiences
#permalink to sectionIn order to provide meaningful, localized insights into ACEs and ACEs-adjacent indicators, Cape Fear Collective convened a team of experts in ACEs and trauma to select a proxy metric for this indicator: percentage of disconnected youth, individuals aged 16 to 19 who are neither in school nor working.
Disconnected Youth in the Region
#permalink to sectionHighest disconnected youth rate 2020: 24.7%, Gates
Lowest disconnected youth rate 2020: 4.22%, Pitt
The map shows the percentage of the population ages 16 to 19 that is neither in school nor working in the Coastal Plain Region as well as the average yearly change in this metric.
In 2020, the percent of the population ages 16 to 19 that was neither in school nor working in the Coastal Plain Region was 8.17%. The county with the highest percentage of the population ages 16 to 19 that was neither in school nor working was Gates (24.7%), while the county with the lowest was Pitt (4.22%).
*When the count of affected people is less than 10, the data is not displayed.
Disconnected Youth in the State
#permalink to sectionThe graph shows the ranking of counties in North Carolina by the percentage of the population ages 16 to 19 that was neither in school nor working.
Using the Highest 25 and Lowest 25 buttons, it is possible to toggle between the 25 geographies with the highest and lowest values in the state.
*When the count of affected people is less than 10, the data is not displayed.
Disconnected Youth by Sex
#permalink to sectionThe graph shows the percentage of the population ages 16 to 19 that was neither in school nor working in the Coastal Plain Region by sex from 2010 to 2020.
In 2020, the percentage of the population ages 16 to 19 that was neither in school nor working among females was 5.97%, and 10.2% among males.
From 2010 to 2020, the percentage of the population ages 16 to 19 that was neither in school nor working among females decresed 1.32% (from 7.29% to 5.97%) and among males it incresed 0.54% (from 9.71% to 10.2%).
*When the count of affected people is less than 10, the data is not displayed.
Disconnected Youth Trend
#permalink to sectionThe graph shows the trend of the percentage of the population ages 16 to 19 that is neither in school nor working as well as this metric's projection until 2030. It is possible to change to other counties and sex with the selector above.
In Bertie County, 10% of the population ages 16 to 19 was neither in school nor working in 2020, with an annual percentage change of 0.23%.
*When the count of affected people is less than 10, the data is not displayed.
Healthy NC State Target (2030): 80%, of the population
Percentage of children proficient or better at grade-level reading based on third grade End of Grade exams.
Proficiency defined as Level 3 or higher.
Third Grade Reading Proficiency
#permalink to sectionThird Grade Reading Proficiency in the Region
#permalink to sectionThe graph shows the percentage of children who are proficient in reading at the end of the third grade in the Coastal Plain Region by Local Education Agency (LEA) and achievement level in 2019.
Third Grade Reading by LEA Code
#permalink to sectionThe graph shows the ranking of Local Education Agencies (LEAs) in North Carolina by the percentage of children who are grade-level proficient in reading at the end of third grade.
By default, the ranking is shown for grade-level proficiency, but it is possible to change the ranking to other achievement levels with the upper selector.
Using the Highest 25 and Lowest 25 buttons, it is possible to toggle between the 25 geographies with the highest and lowest values in the state.
Third Grade Reading Proficiency by Race and Ethnicity
#permalink to sectionThe graph shows the percentage of children who were who were proficient in reading (grade level proficient) at the end of third grade in the Coastal Plain Region by race and ethnicity.
In 2019, the population with the highest percentage of children who were proficient in reading (grade level proficient) in Bertie County Schools was White (63.2%), while the population with the lowest percentage was African American (32.8%).
Third Grade Reading Proficiency by Sex and Achievement Level
#permalink to sectionThe graph shows the third grade reading proficiency in the Local Education Agencies (LEAs) in the Coastal Plain Region by sex and achievement level.
In 2019, the highest percentage of children who were proficient in reading at the end of third grade in Bertie County Schools were female, grade level proficient (50%). The lowest percentage of children who were proficient in reading at the end of third grade were male, level 5 (4.9%).
Physical Environment
#permalink to sectionCoastal Plain (2019): 55.3%, of the population
Healthy NC State Target (2030): 92%, of the population
Percentage of the population living half a mile from a park in any area, one mile from a recreational center in a metropolitan area, or three miles from a recreational center in a rural area.
Exercise access is based on census tract proximity to public parklands or recreational facilities such as “gyms, community centers, dance studios, pools,” and other exercise facilities.
Access to Exercise Opportunities
#permalink to sectionAccess to Exercise Opportunities by County
#permalink to sectionHighest Access to Exercise Opportunities: 72%, Pitt (2019)
Lowest Access to Exercise Opportunities: 18.9%, Northampton (2019)
The map shows the percentage of people with access to exercise opportunities in the Coastal Plain Region as well as the average yearly change in this metric.
In 2019, the percent of the population that had access to exercise opportunities in the Coastal Plain Region was 55.3%. The county with the highest access to exercise opportunities rate was Pitt (72%), while the county with the lowest rate was Northampton (18.9%).
*When the count of affected people is less than 10, the data is not displayed.
Access to Exercise Opportunities in the State
#permalink to sectionThe graph shows the ranking of counties in North Carolina by the population estimated as having access to exercise opportunities or the average yearly change.
Using the Highest 25 and Lowest 25 buttons, it is possible to toggle between the 25 geographies with the highest and lowest values in the state.
*When the count of affected people is less than 10, the data is not displayed.
Healthy NC State Target (2030): 5%, of the population
Percentage of people who are low-income that are not in close proximity to a grocery store.
This indicator, chosen by the Healthy NC 2030 taskforce, is based on USDA-designated food deserts. For metropolitan communities, living close to a grocery store is defined as being less than a mile from a store; in rural areas, the threshold proximity is 10 miles from a grocery store according to the USDA.
Limited Access to Healthy Foods
#permalink to sectionBecause access to healthy food is a significant issue in the Cape Fear region, and because this indicator was only available at a county-level geography, Cape Fear Collective created a Food Hardship Index from a logistic regression model predicting USDA food desert status.
The Food Hardship Index indicates how close a neighborhood is to being a designated food desert, with 1 indicating very high levels of food hardship and 0 indicating very low.
Food Hardship Index in the Region
#permalink to sectionHighest Food Hardship Index, 2020: 1.00, Edgecombe Tract 212
Lowest Food Hardship Index, 2020: 0.03, Pitt Tract 4
The map shows the Food Hardship Index in the Coastal Plain Region as well as the average yearly change in this metric.
In 2020, the Food Hardship Index in Coastal Plain was 0.43. The tract with the highest Food Hardship Index was Edgecombe Tract 212 (1.00), while the tract with the lowest was Pitt Tract 4 (0.03).
Food Hardship Index in the State
#permalink to sectionThe graph shows the ranking of counties in North Carolina by the Food Hardship Index.
Using the Highest 25 and Lowest 25 buttons, it is possible to toggle between the 25 geographies with the highest and lowest values in the state.
Coastal Plain (2019): 17.2%, of the population
Healthy NC State Target (2030): 14%, of the population
Percentage of households with at least 1 of four HUD-designated housing problems.
The U.S. Department of Housing and Urban Development defines severe housing problems as occupied household units that have at least one of the following issues: overcrowding (>1 occupant per room), high housing costs (monthly housing costs >= 50% of monthly income), or lack of adequate kitchen or plumbing facilities.
Severe Housing Problems
#permalink to sectionHUD has not made post-2017 data publicly available, so CFC built a regression model to predict 2018 and 2019 severe housing problems based on the number of households with each individual HUD-designated housing problem.
Housing Problems in the Region
#permalink to sectionHighest percentage of people with severe housing problems: 20.7%, Pitt
Lowest percentage of people with severe housing problems: 13.1%, Gates
The map shows the percentage of people with severe housing problems in the Coastal Plain Region as well as the average yearly change in this metric.
In 2019, the percentage of people with severe housing problems in the Coastal Plain Region was 17.2%. The county with the highest the percentage of people with severe housing problems was Pitt (20.7%), while the county with the lowest was Gates (13.1%).
*The 2018 and 2019 values were built from a CFC model.
*When the count of affected people is less than 10, the data is not displayed.
Housing Problems in the State
#permalink to sectionThe graph shows the ranking of counties in North Carolina by the rate of the prevalence of severe housing problems.
Using the Highest 25 and Lowest 25 buttons, it is possible to toggle between the 25 geographies with the highest and lowest values in the state.
*The 2018 and 2019 values were built from a CFC model.
*When the count of affected people is less than 10, the data is not displayed.
Housing Problems by Race and Ethnicity
#permalink to sectionThe graph shows the percentage of the population living with severe housing problems in the Coastal Plain Region by race and ethnicity from 2013 to 2017.
*The 2018 and 2019 values were built from a CFC model.
*When the count of affected people is less than 10, the data is not displayed.
Housing Problems Trend
#permalink to sectionThe graph shows the trend of the percentage of the population living with severe housing problems, as well as this metric's projection until 2030.
In Bertie County, 19.6% of the population was living with severe housing problems in 2019. Between 2013 and 2020, Bertie County saw a 0.099% average annual increase in this indicator.
*The 2018 and 2019 values were built from a CFC model.
*When the count of affected people is less than 10, the data is not displayed.
Health Behaviors
#permalink to sectionCoastal Plain (2019): 25.6, per 100,000 people
Healthy NC State Target (2030): 18, per 100,000 people
Number of persons who die as a result of drug poisoning per 100,000 population.
Includes deaths of any intent from both medications and drugs.
Drug Overdose Deaths
#permalink to sectionDrug Overdose Deaths in the Region
#permalink to sectionHighest drug overdose rate rate in 2016-2019: 28, Gates
Lowest drug overdose rate in 2016-2019: 14.2, Greene
The map shows the drug overdose death rate (average across years) per 100,000 population in the Coastal Plain Region as well as the average yearly change in this metric.
In the years of 2016-2019 the county with the highest drug overdose death average was Gates (28), while the county with the lowest drug overdose death average was Greene (14.2).
Drug Overdose Deaths in the State
#permalink to sectionThe graph shows the ranking of counties in North Carolina by the drug overdose death rate (average across years) per 100,000 population.
Using the Highest 25 and Lowest 25 buttons, it is possible to toggle between the 25 geographies with the highest and lowest values in the state.
Drug Overdose Deaths by Race and Ethnicity
#permalink to sectionThe graph shows the drug overdose death rate (average across years) per 100,000 population in Coastal Plain Region by race and ethnicity.
Drug Overdose Deaths by Type
#permalink to sectionThe graph shows the overdose death rate (average across years) in Coastal Plain Region by type of death and type of drug.
Healthy NC State Target (2030): 9.0% / 15.0%, youth / adult
Percent of youth and adults reporting current use of e-cigarettes, cigarettes, cigars, smokeless tobacco, pipes, and/or hookah.
This HNC 2030 indicator's data is drawn from the Behavioral Risk Factor Surveillance Survey, which provides data at the statewide level.
Tobacco Use
#permalink to sectionIn order to provide meaningful, localized insights into this indicator, we substituted data from the CDC PLACES project that measures the percent of the current population aged ≥18 years who report having smoked ≥100 cigarettes in their lifetime and currently smoke every day or some days.
Current Adult Smokers in the Region
#permalink to sectionHighest percentage of tobacco use in 2019: 24.7%, Halifax
Lowest percentage of tobacco use in 2019: 18.2%, Pitt
The map shows the percentage of current adult smokers in Coastal Plain Region.
In 2019, the percent of adults who were current smokers in the Coastal Plain Region was 21%. The county with the highest percentage of adults who were current smokers was Halifax (24.7%), while the county with the lowest was Pitt (18.2%).
*When the count of affected people is less than 10, the data is not displayed.
Current Adult Smokers in the State
#permalink to sectionThe graph shows the ranking of counties in North Carolina by the percentage of adults who were current smokers.
Using the Highest 25 and Lowest 25 buttons, it is possible to toggle between the 25 geographies with the highest and lowest values in the state.
*When the count of affected people is less than 10, the data is not displayed.
Coastal Plain (2019): 14.1%, of the population
Healthy NC State Target (2030): 12%, of the population
Percent of adults reporting binge or heavy drinking.
Binge drinking is defined as having 5 or more drinks (men) or 4 or more drinks (women) on an occasion in the past 30 days.
Excessive Drinking
#permalink to sectionExcessive Drinking in the Region
#permalink to sectionHighest percentage of excessive drinking in 2019: 15.9%, Pitt
Lowest percentage of excessive drinking in 2019: 11.1%, Northampton
The map shows the percentage of adults reporting binge or heavy drinking in the Coastal Plain Region.
In 2019, the percentage of adults reporting binge or heavy drinking in the Coastal Plain Region was 13.7%. The county with the highest percentage of adults reporting binge or heavy drinking was Pitt (15.9%), while the county with the lowest was Northampton (11.1%).
*When the count of affected people is less than 10, the data is not displayed.
Excessive Drinking in the State
#permalink to sectionThe graph shows the ranking of counties in North Carolina in terms of excessive drinking.
Using the Highest 25 and Lowest 25 buttons, it is possible to toggle between the 25 geographies with the highest and lowest values in the state.
*When the count of affected people is less than 10, the data is not displayed.
STATE CURRENT (2021): 33.6%, OF YOUTHS
Healthy NC State Target (2030): 17%, of youths
Percent of youth and adults reporting consumption of one or more sugar-sweetened beverages (SSBs) per day.
This HNC 2030 indicator's data is drawn from the Behavioral Risk Factor Surveillance Survey, which provides data at the statewide level.
Sugar-Sweetened Beverage Consumption
#permalink to sectionIn order to provide meaningful, localized insights into this indicator, we substituted data from the CDC PLACES project that measures the percent of the current population aged ≥18 years who report having been diagnosed with diabetes in their lifetime, excluding pregnancy-related diabetes.
Diabetes in the Region
#permalink to sectionHighest percentage of adults with diabetes in 2019: 20.2%, Northampton
Lowest percentage of adults with diabetes in 2019: 11.9%, Pitt
The map shows the percentage of adults with diabetes in the Coastal Plain Region.
In 2019, the percentage of adults with diabetes in Coastal Plain was 15.3%. The county with the highest percentage of adults with diabetes was Northampton (20.2%), while the county with the lowest was Pitt (11.9%).
*When the count of affected people is less than 10, the data is not displayed.
Diabetes in the State
#permalink to sectionThe graph shows the ranking of counties in North Carolina by the percentage of adults with diabetes.
Using the Highest 25 and Lowest 25 buttons, it is possible to toggle between the 25 geographies with the highest and lowest values in the state.
*When the count of affected people is less than 10, the data is not displayed.
Coastal Plain 2020: 13.7, per 100,000 population
Healthy NC State Target (2030): 6, per 100,000 population
Number of new HIV diagnoses per 100,000 population.
HIV Diagnosis
#permalink to sectionHIV Diagnosis by County
#permalink to sectionHighest HIV diagnosis rate in 2010-2020: 37, Bertie
Lowest HIV diagnosis rate in 2010-2020: 14.8, Nash
The map shows the HIV diagnosis rate (average across years) in the Coastal Plain Region as well as the average yearly change in this metric.
In the years of 2010-2020, the county with the highest average HIV diagnosis rate was Bertie (37 per 100,000 population), while the county with the lowest average HIV diagnosis rate was Nash (14.8 per 100,000 population).
HIV Diagnosis in the State
#permalink to sectionThe graph shows the ranking of counties in North Carolina by HIV diagnosis rate (average across years).
Using the Highest 25 and Lowest 25 buttons, it is possible to toggle between the 25 geographies with the highest and lowest values in the state.
HIV Diagnosis by Race and Ethnicity
#permalink to sectionThe graph shows the HIV diagnosis rate (average across years) per 100,000 population in the Coastal Plain Region by race and ethnicity.
Healthy NC State Target (2030): 10, per 1,000 population
Number of births to girls aged 15-19 per 1,000 population.
This HNC 2030 indicator's data is drawn from NC Vital Statistics, which provides publicly-available data at the statewide level.
The HNC 2030 target is to reduce this indicator to 10 per 1,000 females aged 15-19.
Teen Birth
#permalink to sectionIn order to provide meaningful, localized insights into this indicator, we substituted data from NC Live Birth Statistics that measures the number of births to girls under 18 per 1,000 population.
Teen Birth by County
#permalink to sectionHighest teen births rate in 2014-2019: 3.19, Martin
Lowest teen births rate in 2014-2019: 1.5, Gates
The map shows the teen birth rate (average across years) per 1,000 females under 18 in the Coastal Plain Region as well as the average yearly change in this metric.
Between 2014-2019, the county with the highest average teen birth rate was Martin (3.19), while the county with the lowest was Gates (1.5).
Teen Birth in the State
#permalink to sectionThe graph shows the ranking of counties in North Carolina by the teen birth rate (average across years) per 1,000 females under 18 or the average annual change.
Using the Highest 25 and Lowest 25 buttons, it is possible to toggle between the 25 geographies with the highest and lowest values in the state.
Teen Birth by Race and Ethnicity
#permalink to sectionThe graph shows the teen birth rate (average across years) per 1,000 females under 18 in the Coastal Plain Region by race and ethnicity.
Clinical Care
#permalink to sectionCoastal Plain (2020): 11.2%, of the population
Healthy NC State Target (2030): 8%, Healthy NC Target (2030)
Population under age 65 without health insurance.
This HNC 2030 indicator's data is drawn from Small Area Health Insurance Estimates, which provides data at the statewide level.
Uninsured
#permalink to sectionIn order to provide meaningful, localized insights into this indicator, we substituted data from U.S. Census Bureau that measures the population without health insurance at all ages.
Uninsured in the Region
#permalink to sectionHighest uninsured rate: 15.2%, Greene
Lowest uninsured rate: 8.3%, Gates
The map shows the uninsured rate in Coastal Plain Region and how it has changed over time.
In 2020, the uninsured rate in Coastal Plain Region was 11.2%. The county with the highest uninsured rate was Greene (15.2%), while the county with the lowest uninsured rate was Gates (8.3%).
*When the count of affected people is less than 10, the data is not displayed.
Uninsured in the State
#permalink to sectionThe graph shows the ranking of counties in North Carolina in terms of uninsured rate.
Using the Highest 25 and Lowest 25 buttons, it is possible to toggle between the 25 geographies with the highest and lowest values in the state.
*When the count of affected people is less than 10, the data is not displayed.
Uninsured by Race and Ethnicity
#permalink to sectionThe graph shows the uninsured rate in Coastal Plain by race and ethnicity from 2012 to 2020.
In 2020, the population with the highest uninsured rate was Other (33.8%), while the population with the lowest uninsured rate was Hawaiian Native or Pacific Islander (7.4%).
*When the count of affected people is less than 10, the data is not displayed.
Uninsured Trend
#permalink to sectionThe visualization shows the trend of the uninsured rate, its projection until 2030 and the target value for the county and race selected with the upper buttons.
In Bertie County, the uninsured rate for the all races (White, Black, Hispanic) population reached 12.4% in 2020. Between 2012 and 2020, Bertie County saw a 0.29% average annual decrease in this indicator.
*When the count of affected people is less than 10, the data is not displayed.
Healthy NC State Target (2030): 1:1,500
Primary care workforce as a ratio of the number of full-time equivalent primary care clinicians to county population.
Includes physicians, nurse practitioners, physician assistants, and certified nurse midwives.
Provider location defined by primary practice location on licensure information.
Certified nurse midwife counts were not available for 2019.
Primary Care Workforce
#permalink to sectionPrimary Care Workforce in the Region
#permalink to sectionHighest primary care workforce rate 2019: 1 : 138, Pitt
Lowest primary care workforce rate 2019: 1 : 893, Bertie
The map shows the ratio of primary care provider to total population in the Coastal Plain Region as well as the average yearly change in this metric.
In 2019, the ratio of primary care provider to total population in Coastal Plain Region was 1 : 285. The county with the highest ratio of primary care provider to total population in was Pitt (1 : 138), while the county with the lowest was Bertie (1 : 893).
*When the count of affected people is less than 10, the data is not displayed.
Primary Care Workforce in the State
#permalink to sectionThe graph shows the ranking of counties in North Carolina by the ratio of primary care provider to total population or the average annual change.
Using the Highest 25 and Lowest 25 buttons, it is possible to toggle between the 25 geographies with the highest and lowest values in the state.
*When the count of affected people is less than 10, the data is not displayed.
Coastal Plain (2019): 70.7%, of women
Healthy NC State Target (2030): 80%, of women
Percent of women who receive pregnancy-related health care services during the first trimester of a pregnancy.
First trimester is defined as the first 3 months of pregnancy.
Data is for live births only.
Early Prenatal Care
#permalink to sectionEarly Prenatal Care by County
#permalink to sectionHighest early prenatal care rate 2019: 82.6%, Bertie
Lowest early prenatal care rate 2019: 55.8%, Edgecombe
The map shows the early prenatal care rate in the Coastal Plain Region as well as the average yearly change in this metric.
In 2019, the early prenatal care rate in the Coastal Plain Region was 70.7%. The county with the highest early prenatal care rate was Bertie (82.6%), while the county with the lowest was Edgecombe (55.8%).
*When the count of affected people is less than 10, the data is not displayed.
Early Prenatal Care in the State
#permalink to sectionThe graph shows the ranking of counties in North Carolina by the early prenatal care rate.
Using the Highest 25 and Lowest 25 buttons, it is possible to toggle between the 25 geographies with the highest and lowest values in the state.
*When the count of affected people is less than 10, the data is not displayed.
Early Prenatal Care by Race and Ethnicity
#permalink to sectionThe graph shows the early prenatal care rate in the Coastal Plain Region by race and ethnicity from 2011 to 2019.
In 2019, the population with the highest early prenatal care rate was White (non-Hispanic) (78.2%), while the population with the lowest was Hispanic (63.1%).
*When the count of affected people is less than 10, the data is not displayed.
Coastal Plain (2019): 11.9, per 100,000 people
Healthy NC State Target (2030): 11.1, per 100,000 people
Age-adjusted number of deaths attributable to self-harm per 100,000 population.
This HNC 2030 indicator's data is drawn from NC Vital Statistics, which provides publicly-available data at the statewide level.
Suicide Rate
#permalink to sectionIn order to provide meaningful, localized insights into this indicator, we substituted data from NC Detailed Mortality Statistics that is not age-adjusted.
Suicide by County
#permalink to sectionHighest suicides rate in 2012-2019 per 100,000 population: 15.7, Northampton
Lowest suicides rate in 2012-2019: 10.8, Greene
The map shows the suicide rate (average across years) per 100,000 population in Coastal Plain Region and how it has changed over time.
Between 2012-2019, the county with the highest average suicide rate per 100,000 population was Northampton (15.7), while the county with the lowest was Greene (10.8).
Suicide in the State
#permalink to sectionThe graph shows the ranking of counties in North Carolina by the suicide rate (average across years) per 100,000 population.
Using the Highest 25 and Lowest 25 buttons, it is possible to toggle between the 25 geographies with the highest and lowest values in the state.
Suicide by Race and Ethnicity
#permalink to sectionThe graph shows the suicide rate (average across years) per 100,000 population in the Coastal Plain Region by race and ethnicity.
Suicide by Age
#permalink to sectionThe graph shows the suicide rate (average across years) in the Coastal Plain by age, reported per 100,000 population.
Health Outcomes
#permalink to sectionCoastal Plain (2019): 10.7, per 1,000 births
Healthy NC State Target (2030): 6, per 1,000 births
Rate of infant deaths per 1,000 live births.
Deaths are counted if they occur within the first year of life.
Infant Mortality
#permalink to sectionInfant Mortality by County
#permalink to sectionHighest infant mortality rate in 2013-2019 per 1,000 births: 16.4, Hertford
Lowest infant mortality rate in 2013-2019 per 1,000 births: 7.36, Wayne
The map shows the infant mortality rate (average across years) per 1,000 births in the Coastal Plain Region as well as the average yearly change in this metric.
In the years of 2013-2019, the county with the highest average infant mortality rate was Hertford (16.4), while the county with the lowest was Wayne (7.36).
Infant Mortality in the State
#permalink to sectionThe graph shows the ranking of counties in North Carolina by the infant mortality rate (average across years) per 1,000 births.
Using the Highest 25 and Lowest 25 buttons, it is possible to toggle between the 25 geographies with the highest and lowest values in the state.
Infant Mortality by Race and Ethnicity
#permalink to sectionThe graph shows the infant mortality rate (average across years) per 1,000 births in Coastal Plain Region by race and ethnicity.
Coastal Plain (2020): 74.9, years
Healthy NC State Target (2030): 82, years
Average number of years of life remaining.
Tract-level data is life expectancy at birth for the period 2010-2015.
Life Expectancy
#permalink to sectionLife Expectancy in the Region
#permalink to sectionHighest average life expectancy: 77.5, Pitt
Lowest average life expectancy: 71.9, Edgecombe
The map shows the average life expectancy in the Coastal Plain Region as well as the average yearly change in this metric.
The highest average life expectancy was registered in Pitt (77.5 years), while the lowest average life expectancy was registered in Edgecombe (71.9 years).
Life Expectancy in the State
#permalink to sectionThe graph shows the ranking of counties in North Carolina by the average life expectancy or the average yearly change.
Using the Highest 25 and Lowest 25 buttons, it is possible to toggle between the 25 geographies with the highest and lowest values in the state.
Life Expectancy by Race and Ethnicity
#permalink to sectionThe graph shows the average life expectancy in the Coastal Plain Region by race and ethnicity.
In 2020, the population with the highest average life expectancy in the Coastal Plain Region was Hispanic (89), while the population with the lowest was Black (73.3).
* Data interpretation should consider the Hispanic Epidemiological Paradox.