About this dataset

Context

The dataset tabulates the Non-Hispanic population of Santa Cruz County by race. It includes the distribution of the Non-Hispanic population of Santa Cruz County across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Santa Cruz County across relevant racial categories.

Key observations

Of the Non-Hispanic population in Santa Cruz County, the largest racial group is White alone with a population of 145,237 (84% of the total Non-Hispanic population).

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Santa Cruz County
• Population: The population of the racial category (for Non-Hispanic) in the Santa Cruz County is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Santa Cruz County total Non-Hispanic 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 Santa Cruz County Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Santa Cruz County by race. It includes the population of Santa Cruz County across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Santa Cruz County across relevant racial categories.

Key observations

The percent distribution of Santa Cruz County population by race (across all racial categories recognized by the U.S. Census Bureau): 42.07% are white, 0.24% are Black or African American, 0.45% are American Indian and Alaska Native, 0.15% are Asian, 0.19% are Native Hawaiian and other Pacific Islander, 11.34% are some other race and 45.55% are multiracial.

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Santa Cruz County
• Population: The population of the racial category (excluding ethnicity) in the Santa Cruz County is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Santa Cruz County 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 Santa Cruz County Population by Race & Ethnicity. You can refer the same here

Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, Two or More Races (5-year estimate) in Santa Cruz County, CA (B03002009E006087) from 2009 to 2023 about Santa Cruz County, CA; Santa Cruz; CA; non-hispanic; estimate; persons; 5-year; population; and USA.

About this dataset

Context

The dataset tabulates the Santa Cruz County Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Santa Cruz County, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of Santa Cruz County.

Key observations

Among the Hispanic population in Santa Cruz County, regardless of the race, the largest group is of Mexican origin, with a population of 81,042 (87.03% of the total Hispanic population).

Content

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

Origin for Hispanic or Latino population include:

• Mexican
• Puerto Rican
• Cuban
• Other Hispanic or Latino

Variables / Data Columns

• Origin: This column displays the origin for Hispanic or Latino population for the Santa Cruz County
• Population: The population of the specific origin for Hispanic or Latino population in the Santa Cruz County is shown in this column.
• % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of Santa Cruz County total Hispanic or Latino 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 Santa Cruz County Population by Race & Ethnicity. You can refer the same here

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Santa Cruz County, CA (S1701ACS006087) from 2012 to 2023 about Santa Cruz County, CA; Santa Cruz; CA; percent; poverty; 5-year; population; and USA.

Population Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Santa Cruz County, California by age, education, race, gender, work experience and more.

Population 25 years and over Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in Santa Cruz, California by age, education, race, gender, work experience and more.

Population 25 years and over Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Santa Cruz County, California by age, education, race, gender, work experience and more.

Population 16 years and over Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Santa Cruz County, California by age, education, race, gender, work experience and more.

The sea-cliff bedstraw (Galium buxifolium) data set contains two types of information, formatted as CSV worksheets: 1) Spatial coordinates (WGS 84) of known population occurrences on Santa Cruz and San Miguel Islands, California, as of 2006 (sensitive locality information); 2) Demographic data measured at four populations growing on Santa Cruz Island. Three of the populations were measured in 2005 and 2006, the fourth was measured in 2005, 2006, 2008, 2010, 2011, and 2014.

Population 16 years and over Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in Santa Cruz County, Arizona by age, education, race, gender, work experience and more.

About this dataset

Context

The dataset tabulates the Santa Cruz County population by race and ethnicity. The dataset can be utilized to understand the racial distribution of Santa Cruz County.

Content

The dataset will have the following datasets when applicable

Please note that in case when either of Hispanic or Non-Hispanic population doesnt exist, the respective dataset will not be available (as there will not be a population subset applicable for the same)

• Santa Cruz County, AZ Population Breakdown by Race
• Santa Cruz County, AZ Non-Hispanic Population Breakdown by Race
• Santa Cruz County, AZ Hispanic or Latino Population Distribution by Their Ancestries

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/.

Conversion and fragmentation of wildlife habitat often leads to smaller and isolated populations and can reduce a species’ ability to disperse across the landscape. As a consequence, genetic drift can quickly lower genetic variation and increase vulnerability to extirpation. For species of conservation concern, quantification of population size and connectivity can clarify the influence of genetic drift in local populations and provides important information for conservation management and recovery strategies. Here, we used genome-wide single nucleotide polymorphism (SNP) data and capture-mark-recapture methods to evaluate the population structure, genetic diversity and abundance of seven focal sites of the endangered San Francisco gartersnake (Thamnophis sirtalis tetrataenia), a species affected by alteration and isolation of wetland habitats throughout its distribution. We also used temporally sampled datasets to examine the magnitude of genetic change over time.

Vital Statistics: Deaths Statistics: Santa Cruz de Tenerife by municipalities and demographic phenomenon . Municipalities.

Disparities remain in the representation of marginalized students in STEM. Classroom-based experiential learning opportunities can increase student confidence and academic success; however, the effectiveness of extending learning to outdoor settings is unknown. Our objectives were to examine 1) demographic gaps in ecology and evolutionary biology (EEB) major completion, college graduation, and GPAs for students who did and did not enroll in field courses, 2) whether under-represented demographic groups were less likely to enroll in field courses, and 3) whether under-represented demographic groups were more likely to feel increased competency in science-related tasks (hereafter, self-efficacy) after participating in field courses. We compared the relationships among academic success measures and demographic data (race/ethnicity, socioeconomic status, first-generation, and gender) for UC Santa Cruz undergraduate students admitted between 2008 and 2019 who participated in field courses (N=941 students) and who did not (N=28,215 students). Additionally, we administered longitudinal surveys to evaluate self-efficacy gains during field-based versus classroom-based courses (N=570 students). We found no differences in the proportion of students matriculating at the university as undecided, proposed EEB, or proposed other majors across demographic groups. However, five years later, under-represented students were significantly less likely to graduate with EEB degrees, indicating retention rather than recruitment drives disparities in representation. This retention gap is partly due to a lower rate of college completion and partly through attrition to other majors. Although under-represented students were less likely to enroll in field courses, field courses were associated with higher self-efficacy gains, higher college graduation rates, higher EEB major retention, and higher GPAs at graduation. All demographic groups experienced significant increases in self-efficacy during field-based but not lecture-based courses. Together, our findings suggest that increasing the number of field courses and actively facilitating access to students from under-represented groups can be a powerful tool for increasing STEM diversity.

A study comparing reintroduction scenarios for the San Francisco gartersnake (Thamnophis sirtalis tetrataenia), an endangered subspecies native to San Mateo County and Santa Cruz County in northern California. Models for snake survival, growth, fecundity, and reproductive status were used to construct a demographic population model. Data are posterior distributions for demographic parameters from Markov Chain Monte Carlo sampling in hierarchical Bayesian models.

Urban agriculture has received considerable attention for its role in supporting biodiversity and ecosystem services, and health and well-being for growing urban populations. Urban gardens managed with agroecological practices and higher plant diversity support more biodiversity and may support higher crop production. Plant selection in gardens is a function of temperature and environmental conditions and also depends on gardener socio-demographic characteristics, motivations for gardening, and gardening experience. In this study, we examined how plant richness and composition vary with gardener socio-demographic factors, gardening experience and garden use, and gardener motivations. We focused on the socio-demographic factors of age, gender, education, and region of national origin, used information on years spent gardening and hours spent in gardens as a proxy for gardening experience, and collected information on motivations, as well as crop and ornamental plants grown by individual ...

The challenge of maintaining genetic diversity within populations can be exacerbated for island endemics if they display population dynamics and behavioral attributes that expose them to genetic drift without the benefits of gene-flow. We assess patterns of genetic structure and demographic history in twenty seven populations of nine species of flightless endemic Galápagos weevils from nine of the islands and one winged introduced close relative. Analysis of mitochondrial DNA reveals significant population structure and moderately variable, though demographically stable, populations for lowland endemics (Fst= 0.094 to 0.541; π: 0.014 to 0.042; Mismatch p=0.003 to 0.026 and D (Tajima)=-0.601to1.203), in contrast to signals of past contractions and expansions in highland specialists on two islands (Mismatch p=0.003 to 0.026 and D (Tajima)=-0.601to1.203). We interpret this series of variable and highly structured population groups as a system of long-established independently founded island units, where structuring could be a signal of micro-allopatric differentiation due to patchy host plant distribution and poor dispersal abilities. We suggest that the severe reduction and subsequent increase of suitably moist habitat that accompanied past climatic variation could have contributed to the observed population fluctuations in highland specialists. We propose the future exploration of hybridization between the introduced and highland endemic species on Santa Cruz, especially given the expansion of the introduced species into the highlands, the sensitivity to past climatic variation detected in highland populations and the potentially threatened state of single-island endemics.

Table of INEBase Santa Cruz de Tenerife by municipalities and demographic phenomenon . Vital Statistics: Deaths Statistics

About this dataset

Context

The dataset presents the median household income across different racial categories in Santa Cruz. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Santa Cruz population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 65.78% of the total residents in Santa Cruz. Notably, the median household income for White households is $118,469. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $118,469.

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Santa Cruz.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

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 Santa Cruz median household income by race. You can refer the same here