This web map allows for the download of KyFromAbove LiDAR data by 5k tile in LAZ format. This point cloud data was acquired during the typical leaf-off acquisition period (winter-spring) over a period of several years and may be provided as LAS version 1.1, 1.2, or 1.4 depending upon the acquisition period. Users will need to download the LAZIP.exe in order to decompress each tile. LiDAR data specifications adopted by the KyFromAbove Technical Advisory Committee can be found here. This is the source data used to create the Commonwealth's 5 foot digital elevation model (DEM) and its associated derivatives. More information regarding this data resource can be found on the KyGeoPortal.

This web map leverages the KyFromAbove 5 foot Digital Elevation Model (DEM) ArcGIS Server Image Service and provides a 5K tiling grid with embedded links for downloading individual DEM tiles from Phase 1, Phase 2 and Phase3 collection periods. Each of the Phase1 DEM tiles are provided in an ERDAS Imagine (IMG) format and is zipped up with its associated metadata file in XML format. Phase2 and Phase3 DEM tiles are provided in a GeoTIFF format. The Phase1 data resource was derived from the ground class within KyFromAbove point cloud data and has a 5-foot point spacing. The Phase2 and Phase3 data was derived from the ground class within KyFromAbove point cloud data and has a 2-foot point spacing. DEM data specifications adopted by the KyFromAbove Technical Advisory Committee can be found here. More information regarding this data resource can be found on the KyFromAbove website.

This index grid shows tiles where all imagery is available for download through the Kentucky Geography Network. This imagery data was collected as part of the Kentucky Aerial Photography and Elevation Data Program (KYAPED). For more information about the program please visit the Kentucky from Above website at http://kygeonet.ky.gov/kyfromabove/

Kentucky has a diverse topography, and analysis of the similarity among biological assemblages across geographic scales can help clarify the inherent biological differences in the state. An a posterioriregional classification scheme based on river basins, physiographic regions and ecoregions has been developed (Pond et al., 2003; Pond and McMurray, 2002; Pond et al., 2000). Bioregions were established to incorporate ecoregion and river basin differences within the state and typically correspond to Level III Ecoregion boundaries (Woods et al., 2002). Due to the strong affinity between fish and river basins, bioregions for fish communities (also called Ichthyoregions) include some finer subdivisions than for macroinvertebrates, algae, and physical habitat (Compton et al., 2003). The bioregions are Mountains (MT; includes Ichthyoregion subdivision Cumberland River above Cumberland Falls, CA), Bluegrass (BG), Mississippi Valley-Interior River (MVIR), and Pennyroyal (PR; includes Ichthyoregion subdivision Upper Green River, GR). Generalized bioregion boundaries are described below. Note that in most cases bioregion boundaries do not follow stream and river networks, so these boundaries should not be considered to be precise in terms of assigning a particular stream segment location. Areas near bioregion boundaries should be examined closely to determine the appropriate classification. A description of the physical, chemical, and biological characteristics of bioregions, as well as guidance for classifying sites in transitional areas can be found in KDOW’s SOP, Bioregions of Kentucky for Water Quality Assessments of Biological Integrity.Mountains (MT) and Cumberland above the Falls (CA)The Mountains bioregion includes all river systems (Big Sandy, Cumberland, Kentucky, Licking, Little Sandy and minor tributaries of the Ohio River) within the boundaries of the Western Allegheny Plateau ecoregion (70) and Central and Southwestern Appalachian ecoregions (69 and 68). Portions of the Central and Southwestern Appalachian ecoregions that are within the Cumberland River system and upstream of Cumberland Falls are categorized as a separate bioregion with respect to fish, Cumberland Above the Falls (CA).Bluegrass (BG) The Bluegrass bioregion includes all river systems (Kentucky, Licking, Salt and minor tributaries of the Ohio River) that lie within sub-ecoregions (Level IV ecoregions) 71d, 71k, and 71l of the Interior Plateau ecoregion (71).Pennyroyal (PR) and Upper Green River (GR)Includes all river systems (Cumberland, Green, Kentucky, Salt, Tradewater, Tennessee and the minor tributaries of the Ohio River) that lie within sub-ecoregions (71a, b, c, e, f, g, and h) of the Interior Plateau (71). The portion of the Green River system that falls within sub-ecoregion (Level IV ecoregion) 71g of the Interior Plateau ecoregion (71) is categorized as a separate bioregion with respect to fish, Upper Green River (GR).Mississippi Valley-Interior River (MVIR) Includes all river systems (lower Cumberland, Green, Tradewater, Tennessee, minor tributaries of the Mississippi River and minor tributaries of the Ohio River) within the boundaries of the Interior River Valleys and Hills (72), Mississippi Alluvial Plain (73), and Mississippi Valley Loess Plain (74).Transitional Areas (TR)Most boundaries between bioregions are not distinct. Watersheds or individual sites near boundaries may exhibit characteristics of more than one bioregion in these zones, or portions of these areas may be classifiable to one or another bioregion. HUC12s are marked as “Transitional” on this map where more than one bioregion is spanned by the HUC12 unit. Additionally, some HUC12 units in far western areas of the Pennyroyal bioregion, in sub-ecoregions 71a and 71f, have been marked as Transitional even though they are wholly within the Pennyroyal. These areas have been observed by KDOW to have varied stream types and some streams here are more similar to the neighboring MVIR bioregion. Assignment of watersheds or sites to bioregions in Transitional areas must be made based on examination of local features. KDOW personnel familiar with the physical, chemical, and biological characteristics of bioregions make these assignments following the SOP “Bioregions of Kentucky for Water Quality Assessments of Biological Integrity “. The column “BioregDesc” in the attributes table indicates which specific bioregions are pertinent in Transitional HUC12 units.CitationsCompton, M.C., G.J. Pond, and J.F. Brumley. 2003. Development and application of the Kentucky Index of Biotic Integrity (KIBI). Kentucky Department for Environmental Protection, Division of Water, Frankfort, KY.Pond, G.J., and S.E. McMurray. 2002. A macroinvertebrate bioassessment index for headwater streams of the Eastern Coalfield Region, Kentucky. Kentucky Department for Environmental Protection, Kentucky Division of Water. Frankfort, KY.Pond, G.J., J.F. Brumley, and R.E. Houp. 2000. Preliminary ordination of stream organisms in Kentucky. Abstract in Bull. North Am. Benthol. Soc. 17(1):448.Pond, G.J., S.M. Call, J.F. Brumley, and M.C. Compton. 2003. The Kentucky macroinvertebrate bioassessment index: derivation of regional narrative ratings for assessing wadeable and headwater streams. Kentucky Dept. for Env. Prot., Kentucky Div. of Water, Frankfort, KY.Woods, A. J., J. M. Omernik, W. H. Martin, G. J. Pond, W.M Andrews, S. M. Call, J.A Comstock, and D. D. Taylor. 2002. Ecoregions of Kentucky (2-sided color poster with map, descriptive text, summary tables, and photographs): Reston, VA, U.S. Geological Survey (map scale 1:1,000,000).

About this dataset

Context

The dataset tabulates the data for the Jefferson County, KY population pyramid, which represents the Jefferson County 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 Jefferson County, KY, is 28.6.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Jefferson County, KY, is 26.1.
• Total dependency ratio for Jefferson County, KY is 54.7.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Jefferson County, KY is 3.8.

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 Jefferson County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Jefferson County for the selected age group is shown in the following column.
• Population (Female): The female population in the Jefferson County for the selected age group is shown in the following column.
• Total Population: The total population of the Jefferson County 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 Jefferson County Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the St. Matthews, KY population pyramid, which represents the St. Matthews 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 St. Matthews, KY, is 18.0.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for St. Matthews, KY, is 28.7.
• Total dependency ratio for St. Matthews, KY is 46.7.
• Potential support ratio, which is the number of youth (working age population) per elderly, for St. Matthews, KY is 3.5.

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 St. Matthews population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the St. Matthews for the selected age group is shown in the following column.
• Population (Female): The female population in the St. Matthews for the selected age group is shown in the following column.
• Total Population: The total population of the St. Matthews 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 St. Matthews Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Russell County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Russell County. The dataset can be utilized to understand the population distribution of Russell County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Russell County. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Russell County.

Key observations

Largest age group (population): Male # 55-59 years (703) | Female # 55-59 years (740). 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

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.

Variables / Data Columns

• Age Group: This column displays the age group for the Russell County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Russell County is shown in the following column.
• Population (Female): The female population in the Russell County is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Russell County for each age group.

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 Russell County Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the New Haven, KY population pyramid, which represents the New Haven population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey 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 New Haven, KY, is 30.6.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for New Haven, KY, is 35.0.
• Total dependency ratio for New Haven, KY is 65.6.
• Potential support ratio, which is the number of youth (working age population) per elderly, for New Haven, KY is 2.9.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 New Haven population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the New Haven for the selected age group is shown in the following column.
• Population (Female): The female population in the New Haven for the selected age group is shown in the following column.
• Total Population: The total population of the New Haven 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 New Haven Population by Age. You can refer the same here

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Leitchfield, KY, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 11,713, while the mean income for the highest quintile (20% of households with the highest income) is 144,213. This indicates that the top earners earn 12 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 258,564, which is 179.29% higher compared to the highest quintile, and 2207.50% higher compared to the lowest quintile.

Content

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

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

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 Leitchfield median household income. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Douglass Hills, KY population pyramid, which represents the Douglass Hills population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey 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 Douglass Hills, KY, is 26.7.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Douglass Hills, KY, is 37.9.
• Total dependency ratio for Douglass Hills, KY is 64.6.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Douglass Hills, KY is 2.6.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Douglass Hills population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Douglass Hills for the selected age group is shown in the following column.
• Population (Female): The female population in the Douglass Hills for the selected age group is shown in the following column.
• Total Population: The total population of the Douglass Hills 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 Douglass Hills Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Frankfort by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Frankfort. The dataset can be utilized to understand the population distribution of Frankfort by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Frankfort. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Frankfort.

Key observations

Largest age group (population): Male # 30-34 years (1,215) | Female # 30-34 years (1,294). 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

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.

Variables / Data Columns

• Age Group: This column displays the age group for the Frankfort population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Frankfort is shown in the following column.
• Population (Female): The female population in the Frankfort is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Frankfort for each age group.

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 Frankfort Population by Gender. You can refer the same here