This dataset provides information about the number of properties, residents, and average property values for Shasta Dam Boulevard cross streets in Shasta Lake, CA.

About this dataset

Context

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

Key observations

There is a slight majority of female population, with 50.17% 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 Shasta Lake is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Shasta Lake 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 Shasta Lake Population by Race & Ethnicity. You can refer the same here

This dataset provides information about the number of properties, residents, and average property values for Lake Street cross streets in Mount Shasta, CA.

NCALM Seed. PI: Riccardo Tortini, Michigan Technological University. The survey area consisted of a polygon located 115 km North of Redding, California. These data were collected to investigate the largest quaternary debris avalanche deposit off of the Mount Shasta Volcano in Northern California. These data were collected August 5, 2013.

Lake Mead's water elevation at the end of April 2025 was ******* feet above sea level, a small decrease in comparison to the previous month. In July 2022, the reservoir reached the lowest monthly water level recorded since Lake Mead was first formed by the Hoover Dam in the 1930s. At full capacity, Lake Mead has a water level of 1,229 feet above sea level. Lake Mead nearing dead pool status Situated on the border of Arizona and Nevada, Lake Mead is the largest reservoir in the United States. It is a crucial water source that provides drinking water to tens of millions of people in the states of Arizona, California, and Nevada. However, experts have warned that if the lake continues to recede due to the severe droughts across the Southwestern United States, it will become a dead pool. This means that there will not be enough water for the Hoover Dam to produce hydropower or deliver water downstream to metropolitan centers. U.S. water resources are depleting With large swathes of western U.S. recently suffering from a megadrought, which is a period of prolonged drought that spans more than two decades, many other lakes have been severely depleted in recent years. Water levels of major reservoirs in California have fallen to all-time lows in recent years. California’s two largest reservoirs, Shasta Lake and Oroville Lake, were at less than half capacity in July 2022. However, in spring 2023 they were both mostly replenished due to more favorable environmental factors.

The dataset consists of chemical analyses and some isotopic analyses of rock samples collected from Mount Shasta, California, and its immediate surroundings.

U.S. Census Bureau QuickFacts statistics for Shasta Lake city, California. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

The Shasta salamander (Hydromantes shastae) has been petitioned for listing under the Endangered Species Act. The greatest threat to the species is likely habitat loss that will be caused by the increase in elevation of Shasta Lake that will occur with proposed increases in the height of Shasta Dam to increase water storage capacity and maintain cold water for Chinook salmon (Oncorhynchus tshawytscha). Another potential threat is the fungus Batrachochytrium salamandrivorans, which has not yet been detected in North America but is lethal to related salamanders (Hydromantes strinatii) in Europe (Martel et al. 2014). In addition to these threats, recent genetic evidence suggests that the species as originally petitioned consists of three distinct species: H. shastae, H. samweli, and H. wintu (Bingham et al. 2018). Herein, we treat the species complex as a single entity because of difficulty distinguishing among the different species in the field. Recent work has increased knowledge about the habitat types within which Shasta salamanders can be found to include volcanic rock outcrops and areas of mature forest with scattered rocks, but no outcrops (Nauman and Olson 2004). To our knowledge, however, surveys to date have not accounted for the possibility of false absences, though Nauman and Olson (2004) used reference sites to ensure that Shasta salamanders were available on the surface to be detected. Systematic surveys that quantify and account for detection probabilities are needed to distinguish between true and false absences and their results would contribute information about habitat suitability and the distribution of the species. This information is vital to estimate what portion of the species complex would be lost to inundation when the elevation of Shasta Lake is raised and to identify potential refugia or recipient sites for translocations. As the Shasta Salamander is under review for listing under the Endangered Species Act, sensitive location information can be made available upon request by contacting the dataset point of contact.

The City's water system consists of approximately 79 miles of active water distribution system pipelines up to 20-inches in diameter, its Water Treatment Plant (WTP), ten storage tanks (nine treated water, one raw water), two booster pump stations (one raw water, and one finished water), 15 Pressure Reducing Valve (PRV) stations, and nine pressure zones. The WTP is located outside of the City limits, north of Fisherman’s Point adjacent to Shasta Dam.

Line features representing creeks in the City of Shasta Lake area. This dataset provides the linear water features for geographic display and analysis at a local level. Reference sources include 2020 aerial photos and a 2016 LiDAR derived elevation model.

About this dataset

Context

The dataset tabulates the population of Mount Shasta by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Mount Shasta. The dataset can be utilized to understand the population distribution of Mount Shasta by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Mount Shasta. 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 Mount Shasta.

Key observations

Largest age group (population): Male # 70-74 years (175) | Female # 10-14 years (233). 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 Mount Shasta population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Mount Shasta is shown in the following column.
• Population (Female): The female population in the Mount Shasta 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 Mount Shasta 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 Mount Shasta Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

There is a majority of female population, with 55.46% 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 Mount Shasta is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Mount Shasta 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 Mount Shasta Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Shasta Lake 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 Shasta Lake. The dataset can be utilized to understand the population distribution of Shasta Lake by age. For example, using this dataset, we can identify the largest age group in Shasta Lake.

Key observations

The largest age group in Shasta Lake, CA was for the group of age 65 to 69 years years with a population of 854 (8.26%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Shasta Lake, CA was the 80 to 84 years years with a population of 160 (1.55%). 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 Shasta Lake is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Shasta Lake 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 Shasta Lake Population by Age. You can refer the same here

This dataset provides information about the number of properties, residents, and average property values for Shasta Lake Road cross streets in Lakehead, CA.

About this dataset

Context

The dataset tabulates the Mount Shasta 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 Mount Shasta. The dataset can be utilized to understand the population distribution of Mount Shasta by age. For example, using this dataset, we can identify the largest age group in Mount Shasta.

Key observations

The largest age group in Mount Shasta, CA was for the group of age 70 to 74 years years with a population of 360 (11.22%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Mount Shasta, CA was the Under 5 years years with a population of 25 (0.78%). 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 Mount Shasta is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Mount Shasta 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 Mount Shasta Population by Age. You can refer the same here

This dataset provides information about the number of properties, residents, and average property values for Birch Street cross streets in Mount Shasta, CA.

This dataset provides information about the number of properties, residents, and average property values for Hill Drive cross streets in Mount Shasta, CA.

This dataset provides information about the number of properties, residents, and average property values for Jakes Place cross streets in Mount Shasta, CA.

This dataset provides information about the number of properties, residents, and average property values for Jefferson Drive cross streets in Mount Shasta, CA.

This dataset provides information about the number of properties, residents, and average property values for Monroe Way cross streets in Mount Shasta, CA.