About this dataset

Context

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

Key observations

In 2023, the population of Santa Barbara County was 441,257, a 0.60% decrease year-by-year from 2022. Previously, in 2022, Santa Barbara County population was 443,915, an increase of 1.46% compared to a population of 437,521 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Santa Barbara County increased by 41,515. In this period, the peak population was 448,424 in the year 2020. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

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

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

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

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

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

Graph and download economic data for Resident Population in Santa Barbara County, CA (CASANT1POP) from 1970 to 2024 about Santa Barbara County, CA; Santa Barbara; residents; CA; population; and USA.

Graph and download economic data for Resident Population in Santa Maria-Santa Barbara, CA (MSA) (SMBPOP) from 2010 to 2024 about Santa Barbara, residents, CA, population, and USA.

Comprehensive demographic dataset for Santa Barbara, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

About this dataset

Context

The dataset tabulates the data for the Santa Barbara, CA population pyramid, which represents the Santa Barbara 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 Santa Barbara, CA, is 21.9.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Santa Barbara, CA, is 30.7.
• Total dependency ratio for Santa Barbara, CA is 52.6.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Santa Barbara, CA is 3.3.

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

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Santa Barbara County, CA (S1701ACS006083) from 2012 to 2023 about Santa Barbara County, CA; Santa Barbara; poverty; percent; 5-year; CA; population; and USA.

About this dataset

Context

The dataset presents the median household income across different racial categories in Santa Barbara County. 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 Barbara County population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 54.26% of the total residents in Santa Barbara County. Notably, the median household income for White households is $102,007. Interestingly, despite the White population being the most populous, it is worth noting that Asian households actually reports the highest median household income, with a median income of $116,875. This reveals that, while Whites may be the most numerous in Santa Barbara County, Asian households experience greater economic prosperity in terms of median household income.

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 Barbara County.
• 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 Barbara County median household income by race. You can refer the same here

Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Two or More Races, Two Races Excluding Some Other Race, and Three or More Races (5-year estimate) in Santa Barbara County, CA (B03002021E006083) from 2009 to 2023 about Santa Barbara County, CA; Santa Barbara; latino; hispanic; estimate; 5-year; CA; persons; population; and USA.

Comprehensive demographic dataset for Milpas, Santa Barbara, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Address Range Relationship File contains the attributes of each address range. The term "address range" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. The address ranges in the TIGER/Line files are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist. Each address range applies to a single edge and has a unique address range identifier (ARID) value. The edge to which an address range applies can be determined by linking the address range to the All Lines shapefile (edges.shp) using the permanent topological edge identifier (TLID) attribute. Multiple address ranges can apply to the same edge since an edge can have multiple address ranges. Note that the most inclusive address range associated with each side of a street edge already appears in the All Lines Shapefile (edges.shp). The TIGER/Line files contain potential address ranges, not individual addresses.

Comprehensive demographic dataset for Hidden Valley, Santa Barbara, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Comprehensive demographic dataset for Riviera, Santa Barbara, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Estimate, Median Age by Sex, Total Population (5-year estimate) in Santa Barbara County, CA was 34.50000 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 Santa Barbara County, CA reached a record high of 34.50000 in January of 2023 and a record low of 33.40000 in January of 2011. 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 Santa Barbara County, CA - last updated from the United States Federal Reserve on September of 2025.

Graph and download economic data for Population Estimate, Total, Hispanic or Latino (5-year estimate) in Santa Barbara County, CA (B03002012E006083) from 2009 to 2023 about Santa Barbara County, CA; Santa Barbara; latino; hispanic; estimate; 5-year; persons; CA; population; and USA.

Resident Population in Santa Maria-Santa Barbara, CA (MSA) was 444.50000 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, Resident Population in Santa Maria-Santa Barbara, CA (MSA) reached a record high of 448.08300 in January of 2020 and a record low of 424.21800 in January of 2010. Trading Economics provides the current actual value, an historical data chart and related indicators for Resident Population in Santa Maria-Santa Barbara, CA (MSA) - last updated from the United States Federal Reserve on September of 2025.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Santa Barbara County, CA, 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 19,985, while the mean income for the highest quintile (20% of households with the highest income) is 360,634. This indicates that the top earners earn 18 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 659,815, which is 182.96% higher compared to the highest quintile, and 3301.55% 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 Santa Barbara County median household income. You can refer the same here

Population Estimate, Total, Not Hispanic or Latino, Asian Alone (5-year estimate) in Santa Barbara County, CA was 22846.00000 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 Santa Barbara County, CA reached a record high of 23882.00000 in January of 2019 and a record low of 16872.00000 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, Asian Alone (5-year estimate) in Santa Barbara County, CA - last updated from the United States Federal Reserve on September of 2025.

U.S. Census Bureau QuickFacts statistics for Santa Barbara 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.

Percent of Population Below the Poverty Level (5-year estimate) in Santa Barbara County, CA was 13.80% in January of 2023, according to the United States Federal Reserve. Historically, Percent of Population Below the Poverty Level (5-year estimate) in Santa Barbara County, CA reached a record high of 16.60 in January of 2014 and a record low of 12.90 in January of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for Percent of Population Below the Poverty Level (5-year estimate) in Santa Barbara County, CA - last updated from the United States Federal Reserve on September of 2025.

Graph and download economic data for Estimate, Median Age by Sex, Total Population (5-year estimate) in Santa Barbara County, CA (B01002001E006083) from 2009 to 2023 about Santa Barbara County, CA; Santa Barbara; age; 5-year; CA; median; and USA.