Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.

The datasets used in the creation of the predicted Habitat Suitability models includes the CWHR range maps of Californias regularly-occurring vertebrates which were digitized as GIS layers to support the predictions of the CWHR System software. These vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.The models also used the CALFIRE-FRAP compiled "best available" land cover data known as Fveg. This compilation dataset was created as a single data layer, to support the various analyses required for the Forest and Rangeland Assessment, a legislatively mandated function. These data are being updated to support on-going analyses and to prepare for the next FRAP assessment in 2015. An accurate depiction of the spatial distribution of habitat types within California is required for a variety of legislatively-mandated government functions. The California Department of Forestry and Fire Protections CALFIRE Fire and Resource Assessment Program (FRAP), in cooperation with California Department of Fish and Wildlife VegCamp program and extensive use of USDA Forest Service Region 5 Remote Sensing Laboratory (RSL) data, has compiled the "best available" land cover data available for California into a single comprehensive statewide data set. The data span a period from approximately 1990 to 2014. Typically the most current, detailed and consistent data were collected for various regions of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common classification scheme, the California Wildlife Habitat Relationships (CWHR) system.CWHR range data was used together with the FVEG vegetation maps and CWHR habitat suitability ranks to create Predicted Habitat Suitability maps for species. The Predicted Habitat Suitability maps show the mean habitat suitability score for the species, as defined in CWHR. CWHR defines habitat suitability as NO SUITABILITY (0), LOW (0.33), MEDIUM (0.66), or HIGH (1) for reproduction, cover, and feeding for each species in each habitat stage (habitat type, size, and density combination). The mean is the average of the reproduction, cover, and feeding scores, and can be interpreted as LOW (less than 0.34), MEDIUM (0.34-0.66), and HIGH (greater than 0.66) suitability. Note that habitat suitability ranks were developed based on habitat patch sizes >40 acres in size, and are best interpreted for habitat patches >200 acres in size. The CWHR Predicted Habitat Suitability rasters are named according to the 4 digit alpha-numeric species CWHR ID code. The CWHR Species Lookup Table contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history (available for download at https://www.wildlife.ca.gov/Data/CWHR).

About this dataset

Context

The dataset tabulates the data for the Beaver, PA population pyramid, which represents the Beaver 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 Beaver, PA, is 19.8.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Beaver, PA, is 46.3.
• Total dependency ratio for Beaver, PA is 66.1.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Beaver, PA is 2.2.

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

Intraspecific competition plays an important role for territory acquisition and occupancy, in turn affecting individual fitness. Thus, understanding the drivers of intraspecific aggression can increase our understanding of population dynamics. Here, we investigated intraspecific aggression in Eurasian (Castor fiber) and North American (C. canadensis) beavers that are both monogamous, territorial mammals. Combined, we examined tail scars from >1000 beavers (>2000 capture events) as part of two long-term studies in Norway and the USA. We investigated the influence of landscape structure, population density, sex, age, and (for Eurasian beavers only) social status and group size on the number of tail scars caused by conspecifics. The number of tail scars was affected by population density in well-connected landscape types (large lakes and rivers), but not in more isolated areas (ponds), where individuals generally had fewer tail scars. Further, the relationship of population density was not linear. In the North American beaver population occurring in large lakes, intraspecific aggression increased with population density. Conversely, in the saturated Eurasian beaver population, intraspecific aggression was in a negative relationship with population density (except at the highest densities), likely due to inverse density-dependent intruder pressure via dispersers. Our findings emphasize that population density can affect intraspecific aggression depending on landscape structure, which might have important consequences for local patterns of dispersal, mate change and territory occupancy, all of which can affect population dynamics.

Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://res1wwwd-o-twildlifed-o-tcad-o-tgov.vcapture.xyz/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.

The Washington Wildlife Habitat Connectivity Working Group (https://waconnected.org/) conducted a Cascades to Coast Analysis to model habitat connectivity for 5 focal species (American Beaver, Cougar, Fisher, Mountain Beaver, and Western Gray Squirrel), as well as for existing protected areas (i.e., naturalness, landscape integrity). These data were combined into a synthesis analysis to identify important connectivity corridors for the region and to identify priority wildlife crossing areas across major highways. Data from the Cascades to Coast Analysis, as well as a technical report summarizing the project are available at https://waconnected.org/coastal-washington-analysis/.This layer was derived from the American Beaver core areas and least-cost corridors data from the Washington Wildlife Habitat Connectivity Working Group's Cascades to Coast Analysis. Hexagon grid cells were symbolized based on their proportion of overlap with the core areas and least-cost corridors data. Grid cells with a proportion of core area overlap equal to or greater than 0.05 were assigned the Habitat Concentration Area classification. The least-cost corridor width assigned to each grid cell was based on the majority least-cost corridor width overlapping each grid cell.

About this dataset

Context

The dataset tabulates the data for the Beaver, OK population pyramid, which represents the Beaver 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 Beaver, OK, is 38.2.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Beaver, OK, is 26.3.
• Total dependency ratio for Beaver, OK is 64.5.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Beaver, OK 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 Beaver population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Beaver for the selected age group is shown in the following column.
• Population (Female): The female population in the Beaver for the selected age group is shown in the following column.
• Total Population: The total population of the Beaver 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 Beaver Population by Age. You can refer the same here

Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.

About this dataset

Context

The dataset tabulates the data for the Beaver, OH population pyramid, which represents the Beaver 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 Beaver, OH, is 19.6.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Beaver, OH, is 31.5.
• Total dependency ratio for Beaver, OH is 51.1.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Beaver, OH is 3.2.

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

Spatial distribution and habitat selection are integral to the study of animal ecology. Habitat selection may optimize the fitness of individuals. Hutchinsonian niche theory posits the fundamental niche of species would support the persistence or growth of populations. Although niche-based species distribution models and habitat suitability models (HSMs) such as maximum entropy (Maxent) have demonstrated fair to excellent predictive power, few studies have linked the prediction of HSMs to demographic rates. We aimed to test the prediction of Hutchinsonian niche theory that habitat suitability (i.e., likelihood of occurrence) would be positively related to survival of American beaver (Castor canadensis), a North American semi-aquatic, herbivorous, habitat generalist. We also tested the prediction of ideal free distribution that animal fitness, or its surrogate, is independent of habitat suitability at the equilibrium. We estimated beaver monthly survival probability using the Barker model and radio telemetry data collected in northern Alabama, United States from January 2011 to April 2012. A habitat suitability map was generated with Maxent for the entire study site using landscape variables derived from the 2011 National Land Cover Database (30-m resolution). We found an inverse relationship between habitat suitability index and beaver survival, contradicting the predictions of niche theory and ideal free distribution. Furthermore, four landscape variables selected by American beaver did not predict survival. The beaver population on our study site has been established for 20 or more years and, subsequently, may be approaching or have reached the carrying capacity. Maxent-predicted increases in habitat use and subsequent intraspecific competition may have reduced beaver survival. Habitat suitability-fitness relationships may be complex and, in part, contingent upon local animal abundance. Future studies of mechanistic species distribution models incorporating local abundance and demographic rates are needed.

Methods Radio telemetry data collection

We captured American beaver using Hancock live traps (Hancock Trap Company, Custer, SD, USA) within Redstone from January to May 2011. We fit a 38-g (<0.05% of body mass) very high frequency (VHF) transmitter (Model 3530, Advanced Telemetry Systems, Isanti, MN, USA) to each captured subadult (10.9–16.0 kg) and adult (>16 kg) using tail-mounting methods; juveniles were excluded (Arjo et al. 2008, McClintic et al. 2014a). Smith et al. (2016) demonstrated that tail-mounting did not affect beaver survival in Minnesota. Capture and handling of beavers was approved by the Institutional Animal Care and Use Committee of the United States Department of Agriculture, National Wildlife Research Center (Protocol No. QA-1626). For survival analysis, we located radio-tagged beaver once every four weeks (i.e., tracking occasions) to determine the fates (i.e., live, dead, undetected, or missing) of radio-tracked individuals from January 2011 to April 2012. We determined additional information on the fates of tracked beaver from other relocations collected via triangulation between tracking occasions (for home range estimation in a different study) and used those live resighting or dead recovery data for the Barker survival model. We located dead beaver as practically possible by triangulation on the VHF mortality signal.

Encounter history input for program MARK

For the encounter history input, we used monthly live detections (completed during the first week of a monthly interval) of radio-tagged individuals via VHF telemetry as a live encounter occasion. Live detections occurring anytime between the two successive live encounter occasions within a month were treated as live resightings

Environmental covriates

The normalized difference vegetation index (NDVI)

We derived two monthly NDVI time series from 250-m resolution, 16-day MODIS, multi-spectral satellite imagery using R package MODIStsp. The NDVI time series included: (1) NDVI for Redstone’s entire American beaver population for each monthly tracking interval (popndvi); and (2) wetland- or colony-specific NDVI for each monthly tracking interval (colndvi). We delineated the spatial extent of beaver colonies using a minimum convex polygon from all VHF locations of all radio-tagged beaver inhabiting a wetland. We averaged NDVI values over all cells or pixels within a colony to estimate colony-specific NDVI using R packages raster and sp. If a radio-tracked individual did not occupy a known colony, we extracted NDVI values by using a circular buffer representing the average spatial extent of beaver colonies. The circular buffer was centered at the centroid of the VHF locations of the individual. Variable popndvi was calculated as the average of all colndvi values by month.

Lanscape variables

To evaluate landscape-beaver survival relationships, we included landscape variables: woody wetland edge density (m ha-1, wwetbd), shrub edge density (shrubbd), water body edge density (waterbd), and relative frequency (0-1.0) of grassland (grassfq) out of 30 landscape variables. We derived raster layers for these four landscape variables from 2011 National Land Cover Database (NLCD) using the program Biomapper. We calculated averages of the four landscape variables for each colony using the same geospatial analysis as we did for NDVI.

Population Estimate, Total, Not Hispanic or Latino, Black or African American Alone (5-year estimate) in Beaver County, UT was 11.00000 Persons in January of 2023, according to the United States Federal Reserve. Historically, Population Estimate, Total, Not Hispanic or Latino, Black or African American Alone (5-year estimate) in Beaver County, UT reached a record high of 15.00000 in January of 2014 and a record low of 0.00000 in January of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for Population Estimate, Total, Not Hispanic or Latino, Black or African American Alone (5-year estimate) in Beaver County, UT - last updated from the United States Federal Reserve on August of 2025.

Population Estimate, Total, Not Hispanic or Latino, Black or African American Alone (5-year estimate) in Beaver County, OK was 14.00000 Persons in January of 2023, according to the United States Federal Reserve. Historically, Population Estimate, Total, Not Hispanic or Latino, Black or African American Alone (5-year estimate) in Beaver County, OK reached a record high of 55.00000 in January of 2014 and a record low of 3.00000 in January of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for Population Estimate, Total, Not Hispanic or Latino, Black or African American Alone (5-year estimate) in Beaver County, OK - last updated from the United States Federal Reserve on July of 2025.

Population Estimate, Total, Not Hispanic or Latino, American Indian and Alaska Native Alone (5-year estimate) in Beaver County, OK was 48.00000 Persons in January of 2023, according to the United States Federal Reserve. Historically, Population Estimate, Total, Not Hispanic or Latino, American Indian and Alaska Native Alone (5-year estimate) in Beaver County, OK reached a record high of 107.00000 in January of 2009 and a record low of 11.00000 in January of 2013. Trading Economics provides the current actual value, an historical data chart and related indicators for Population Estimate, Total, Not Hispanic or Latino, American Indian and Alaska Native Alone (5-year estimate) in Beaver County, OK - last updated from the United States Federal Reserve on July of 2025.

About this dataset

Context

The dataset tabulates the data for the New Beaver, PA population pyramid, which represents the New Beaver 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 New Beaver, PA, is 33.3.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for New Beaver, PA, is 40.5.
• Total dependency ratio for New Beaver, PA is 73.9.
• Potential support ratio, which is the number of youth (working age population) per elderly, for New Beaver, PA is 2.5.

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

Population Estimate, Total, Not Hispanic or Latino, Black or African American Alone (5-year estimate) in Beaver County, PA was 10236.00000 Persons in January of 2023, according to the United States Federal Reserve. Historically, Population Estimate, Total, Not Hispanic or Latino, Black or African American Alone (5-year estimate) in Beaver County, PA reached a record high of 10236.00000 in January of 2023 and a record low of 9509.00000 in January of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for Population Estimate, Total, Not Hispanic or Latino, Black or African American Alone (5-year estimate) in Beaver County, PA - last updated from the United States Federal Reserve on August of 2025.

Population Estimate, Total, Hispanic or Latino (5-year estimate) in Beaver County, OK was 1381.00000 Persons in January of 2023, according to the United States Federal Reserve. Historically, Population Estimate, Total, Hispanic or Latino (5-year estimate) in Beaver County, OK reached a record high of 1381.00000 in January of 2023 and a record low of 871.00000 in January of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for Population Estimate, Total, Hispanic or Latino (5-year estimate) in Beaver County, OK - last updated from the United States Federal Reserve on August of 2025.

Population Estimate, Total, Hispanic or Latino (5-year estimate) in Beaver County, PA was 3781.00000 Persons in January of 2023, according to the United States Federal Reserve. Historically, Population Estimate, Total, Hispanic or Latino (5-year estimate) in Beaver County, PA reached a record high of 3781.00000 in January of 2023 and a record low of 1771.00000 in January of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for Population Estimate, Total, Hispanic or Latino (5-year estimate) in Beaver County, PA - last updated from the United States Federal Reserve on August of 2025.

Estimate, Median Age by Sex, Total Population (5-year estimate) in Beaver County, UT was 34.40000 Years of Age in January of 2023, according to the United States Federal Reserve. Historically, Estimate, Median Age by Sex, Total Population (5-year estimate) in Beaver County, UT reached a record high of 34.40000 in January of 2023 and a record low of 31.50000 in January of 2012. Trading Economics provides the current actual value, an historical data chart and related indicators for Estimate, Median Age by Sex, Total Population (5-year estimate) in Beaver County, UT - last updated from the United States Federal Reserve on August of 2025.

Population Estimate, Total, Not Hispanic or Latino, Asian Alone (5-year estimate) in Beaver County, OK was 5.00000 Persons in January of 2023, according to the United States Federal Reserve. Historically, Population Estimate, Total, Not Hispanic or Latino, Asian Alone (5-year estimate) in Beaver County, OK reached a record high of 17.00000 in January of 2013 and a record low of 0.00000 in January of 2016. Trading Economics provides the current actual value, an historical data chart and related indicators for Population Estimate, Total, Not Hispanic or Latino, Asian Alone (5-year estimate) in Beaver County, OK - last updated from the United States Federal Reserve on September of 2025.

Equifax Subprime Credit Population for Beaver County, OK was 16.67% in January of 2025, according to the United States Federal Reserve. Historically, Equifax Subprime Credit Population for Beaver County, OK reached a record high of 36.61 in April of 2004 and a record low of 12.56 in July of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for Equifax Subprime Credit Population for Beaver County, OK - last updated from the United States Federal Reserve on August of 2025.