About this dataset

Context

The dataset tabulates the Appalachia population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Appalachia. The dataset can be utilized to understand the population distribution of Appalachia by age. For example, using this dataset, we can identify the largest age group in Appalachia.

Key observations

The largest age group in Appalachia, VA was for the group of age 10 to 14 years years with a population of 197 (12.22%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Appalachia, VA was the 80 to 84 years years with a population of 12 (0.74%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Appalachia is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Appalachia total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Appalachia Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Appalachia population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Appalachia across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Appalachia was 1,387, a 0.64% decrease year-by-year from 2022. Previously, in 2022, Appalachia population was 1,396, a decline of 1.27% compared to a population of 1,414 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Appalachia decreased by 442. In this period, the peak population was 1,829 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Appalachia is shown in this column.
• Year on Year Change: This column displays the change in Appalachia population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Appalachia Population by Year. You can refer the same here

This research project was designed to demonstrate the contributions that Geographic Information Systems (GIS) and spatial analysis procedures can make to the study of crime patterns in a largely nonmetropolitan region of the United States. The project examined the extent to which the relationship between various structural factors and crime varied across metropolitan and nonmetropolitan locations in Appalachia over time. To investigate the spatial patterns of crime, a georeferenced dataset was compiled at the county level for each of the 399 counties comprising the Appalachian region. The data came from numerous secondary data sources, including the Federal Bureau of Investigation's Uniform Crime Reports, the Decennial Census of the United States, the Department of Agriculture, and the Appalachian Regional Commission. Data were gathered on the demographic distribution, change, and composition of each county, as well as other socioeconomic indicators. The dependent variables were index crime rates derived from the Uniform Crime Reports, with separate variables for violent and property crimes. These data were integrated into a GIS database in order to enhance the research with respect to: (1) data integration and visualization, (2) exploratory spatial analysis, and (3) confirmatory spatial analysis and statistical modeling. Part 1 contains variables for Appalachian subregions, Beale county codes, distress codes, number of families and households, population size, racial and age composition of population, dependency ratio, population growth, number of births and deaths, net migration, education, household composition, median family income, male and female employment status, and mobility. Part 2 variables include county identifiers plus numbers of total index crimes, violent index crimes, property index crimes, homicides, rapes, robberies, assaults, burglaries, larcenies, and motor vehicle thefts annually from 1977 to 1996.

The counties comprising Appalachia, based on the Appalachian Regional Commission (https://www.arc.gov/appalachian-counties-served-by-arc), plus the counties that fall within a 10-mile buffer of the ARC counties, with 2010 RUCA codes joined. The original source of the counties shapefile was the U.S. Census Bureau's 2020 Cartographic Boundary Files. The original source of the data was the CDC USALEEP (https://www.cdc.gov/nchs/nvss/usaleep/usaleep.html) averaged from the tract level to the county level using the FIPS code.

The coal mining industry employed ****** people in the Appalachian region in 2023, of which around ** percent worked in underground mines. Since 2010, the minority of the coal mine employees in the region worked in surface mines. During the period in consideration, coal-mining employment in the Appalachian region presented a trend of decline, with figures peaking in 2011, at some ************* employees.

About this dataset

Context

The dataset tabulates the Appalachia population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Appalachia. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 894 (55.46% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Appalachia population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Appalachia is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Appalachia is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Appalachia Population by Age. You can refer the same here

Identical observations, conducted 1-4 times per year for 15-20 years at two locations in the southern Appalachians, have yielded quantitative data on populations of six species of salamanders. Although the numbers have fluctuated for various reasons, there has been no trend in the numbers of any of the species. The "world-wide decline of amphibian populations" has not occurred in the two localities studied. Please refer to the methodological summary near each graph on the following web page, http://www.unc.edu/~rhwiley/salamandertrends/ The number of salamanders observed in a 1.5 hour search from the creek southward up the slopes 150 m (average of two trips in September each year).

About this dataset

Context

The dataset tabulates the population of Appalachia by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Appalachia across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of female population, with 51.8% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Appalachia is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Appalachia total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Appalachia Population by Race & Ethnicity. You can refer the same here

Total population in counties around the Appalachian Trail in 2019. The dashboard includes maps of population density and growth by county; and county specific values when selected. Data is based on American Community Survey of 2019 and change rates refers to increases since Decennial Census 2000. Chart illustrates graphically the evolution of the population in the last 50 years in the county.

About this dataset

Context

The dataset tabulates the data for the Appalachia, VA population pyramid, which represents the Appalachia population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Appalachia, VA, is 35.4.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Appalachia, VA, is 25.4.
• Total dependency ratio for Appalachia, VA is 60.9.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Appalachia, VA is 3.9.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Appalachia population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Appalachia for the selected age group is shown in the following column.
• Population (Female): The female population in the Appalachia for the selected age group is shown in the following column.
• Total Population: The total population of the Appalachia for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Appalachia Population by Age. You can refer the same here

Four neochoristoderan vertebral centra are described from the latest Cretaceous of New Jersey. One specimen was recovered from the basal transgressive lag of the Navesink Formation in the area of Holmdel Park, New Jersey, and two others were recovered nearby and likely were derived from the same horizon. The fourth was recovered from the Marshalltown sequence in the vicinity of the Ellisdale Dinosaur Site. These vertebrae expand the geographic range of Late Cretaceous neochoristoderes in North America by over 2000 km further east, and represent the first neochoristoderan remains from the Atlantic coastal plain. To discern whether neochoristodere remains are to be expected in New Jersey, and elucidate why neochoristoderes are apparently so rare in Appalachia, we implemented ecological niche modeling to predict the range of suitable habitat for Champsosaurus, the only known genus of Late Cretaceous neochoristoderes. We found that in Appalachia, the ideal habitat of Champsosaurus likely ex...

Historical Dataset of Appalachia High School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2011),Total Classroom Teachers Trends Over Years (1988-2011),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1988-2011),Asian Student Percentage Comparison Over Years (1996-2005),Hispanic Student Percentage Comparison Over Years (2010-2011),Black Student Percentage Comparison Over Years (1994-2011),White Student Percentage Comparison Over Years (1993-2011),Diversity Score Comparison Over Years (1994-2011),Free Lunch Eligibility Comparison Over Years (1995-2011),Reduced-Price Lunch Eligibility Comparison Over Years (2001-2011),Reading and Language Arts Proficiency Comparison Over Years (2010-2011),Math Proficiency Comparison Over Years (2010-2011),Overall School Rank Trends Over Years (2010-2011)

All unique haplotypes/alleles (COI, CAD, KKV, and ITS2) and GenBank #s. (XLSX 53 kb)

Financial overview and grant giving statistics of Museum of Appalachia

Financial overview and grant giving statistics of Appalachian Literacy Initiative

Financial overview and grant giving statistics of Create Appalachia

The USGS Central Region Energy Team assesses oil and gas resources of the United States. The onshore and State water areas of the United States comprise 71 provinces. Within these provinces, Total Petroleum Systems are defined and Assessment Units are defined and assessed. Each of these provinces is defined geologically, and most province boundaries are defined by major geologic changes.
The Appalachian Basin Province is located in the eastern United States, encompassing all or parts of the counties in Alabama, Georgia, Kentucky, Maryland, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Tennessee, Virginia, and West Virginia. The main population centers within the study area are Birmingham, Alabama; Buffalo, New York; Cleveland, Ohio; Pittsburgh, Pennsylvania; Chattanooga, Tennessee; and Roanoke, Virginia. The main Interstates are I-20, I-24, I-40, I-59, I-64, I-65, I-66, I-70, I-71, I-75, I-76, I-77, I-78, I-79, I-80, I-81, I-83, I-84, I-87, I-88, and I-90. The Ohi ...

On June 13, 2025, the U.S. Central Appalachian coal price stood at 79 U.S. dollars per short ton. Figures stayed below 80 U.S. dollars for most of 2024 and all of 2025, except for late June and late September 2024. Central Appalachian coal is produced in parts of Eastern Kentucky, Virginia, West Virginia, and Tennessee. In 2023, the annual Central Appalachian coal spot price stood at 73.59 U.S. dollars per metric ton.

Demographic characteristics of survey respondents from Alabama and Tennessee.

This dataset represents the most current depiction of the Appalachian National Scenic Trail centerline. Locational information used to create this data set were obtained from both Global Positioning Systems (GPS) survey data collected between 1998-2001 and information digitized from USGS topographical maps and Appalachian Trail maps. This data set was developed to provide a depiction of the Appalachian National Scenic Trail in a usable and easily transferable format between parties so that it can correctly be represented on digital and printed maps; to assist staff members, agency partners, and trail-maintaining clubs with trail and land management duties; and to help local planning agencies, telecommunications companies, and other groups with planning activities, such as siting new developments that could have a substantial impact on the scenic quality of the Appalachian Trail. The Appalachian National Scenic Trail is a footpath of approximately 2,169 miles in length that traverses the Appalachian Mountains from Maine to Georgia. It passes through 14 states and approximately 241 jurisdictions, and links some 75 national and state parks and forests. Virtually every mile is within easy access of a major population center and some portion of the trail is within a day's drive of two-thirds of the U.S. population. The idea for an Appalachian Trail was conceived by forester Benton MacKaye in 1921. In 1925, the Appalachian Trail Conference, a private not-for-profit organization, was founded specifically to coordinate the development of the Appalachian Trail. Its mission today is to preserve, manage, and promote the Appalachian Trail. By 1937, an Appalachian Trail footpath was considered complete and open for all to enjoy. In 1968, Congress passed the National Scenic Trails Act that created a system of national scenic trails, starting with the Appalachian Trail and Pacific Crest Trail. Though considered part of the national park system, the Appalachian Trail has largely remained managed by the Appalachian Trail Conference. This responsibility was formally delegated by the Department of the Interior in 1984. Today, the trail and its associated lands are managed by the Appalachian Trail Conference, its 31 affiliated trail clubs, and the National Park Service Appalachian Trail Park Office, in conjunction with several agency partners including the USDA Forest Service and numerous state park and state forest agencies.