About this dataset

Context

The dataset tabulates the San Luis Obispo County population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of San Luis Obispo County. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 171,214 (60.83% of the total population). 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 cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the San Luis Obispo County population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in San Luis Obispo County is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the San Luis Obispo County 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 San Luis Obispo County Population by Age. You can refer the same here

U.S. Census Bureau QuickFacts statistics for San Luis Obispo County, 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.

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 San Luis Obispo County, CA (B03002021E006079) from 2009 to 2023 about San Luis Obispo County, CA; San Luis Obispo; latino; hispanic; CA; estimate; persons; 5-year; population; and USA.

Graph and download economic data for Estimate of Median Household Income for San Luis Obispo County, CA (MHICA06079A052NCEN) from 1989 to 2023 about San Luis Obispo County, CA; San Luis Obispo; CA; households; median; income; and USA.

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) Database (MTDB). The MTDB represents a seamless national filewith no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent dataset, or they can be combined to cover the entire nation. The Area Hydrography Shapefile contains the geometry and attributes of both perennial and intermittent area hydrography features, including ponds, lakes, oceans, swamps (up to the U.S. nautical three-mile limit), glaciers, and the area covered by large rivers, streams, and/or canals that are represented as double-line drainage. Single-line drainage water features can be found in the Linear Hydrography Shapefile (LINEARWATER.shp). Linear water features includes single-line drainage water features and artificial path features, where they exist, that run through double-line drainage features such as rivers, streams, and/or canals, and serve as a linear representation of these features.

Graph and download economic data for Population Estimate, Total, Hispanic or Latino (5-year estimate) in San Luis Obispo County, CA (B03002012E006079) from 2009 to 2023 about San Luis Obispo County, CA; San Luis Obispo; latino; hispanic; CA; estimate; persons; 5-year; population; and USA.

About this dataset

Context

The dataset tabulates the data for the San Luis Obispo, CA population pyramid, which represents the San Luis Obispo 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 San Luis Obispo, CA, is 11.6.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for San Luis Obispo, CA, is 17.7.
• Total dependency ratio for San Luis Obispo, CA is 29.3.
• Potential support ratio, which is the number of youth (working age population) per elderly, for San Luis Obispo, CA is 5.7.

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

About this dataset

Context

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

Key observations

There is a slight majority of female population, with 50.08% 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 San Luis Obispo is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of San Luis Obispo 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 San Luis Obispo Population by Race & Ethnicity. You can refer the same here

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system. The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Graph and download economic data for Poverty Universe, Age 5-17 related for San Luis Obispo County, CA (PUA5T17RCA06079A647NCEN) from 1998 to 2023 about San Luis Obispo County, CA; San Luis Obispo; CA; child; poverty; and USA.

After the 2020 federal decennial census was released in 2021, the County began the redistricting process. The purpose of redistricting is to redraw the district boundaries to rebalance the population between districts every 10 years so that each district is substantially equal in population and meets certain criteria within the Election Code and U.S. constitution. As a result of the redistricting process, in 2021 Map ID No. 74786 (aka the “Patten Map”) was adopted. In April 2023, due to litigation, the Board of Supervisors set aside Map ID 74786 (layer name: CR_SUPDIST_2021) and approved Map A (layer name: CR_SUPDIST_2023) which established different supervisorial district boundaries. These boundaries are in effect as of their adoption, however, per the Elections Code, they are phased in over the course of several years as terms of office expire and as elections occur in each of the new districts. The original 2011 (2010 Census) district boundaries were used as a framework. The only changes made were to adhere to P.L. 94-171 2020 federal decennial census block lines where they deviate from the 2011 district boundaries. The Map A - 2023 boundaries were adopted by the Board of Supervisors in 2023 to replace the boundaries adopted in 2021.In 2024, Districts 1, 3, and 5 will vote for their supervisor using the 2023 district boundaries. In 2026, Districts 2 and 4 will vote for their supervisor using the 2023 district boundaries. Once the new Board takes office in January 2027, all supervisors will then be re-elected under the 2023 district boundaries. 2023-2030 Supervisorial District Boundaries in polygon format. The Coordinates for this dataset are State Plane Coordinate System, Zone 5, NAD 1983 (2011) Feet.April 4th, 2023 – Item #6 on agendaConsideration and introduction of three ordinances each of which repeal the Supervisorial District boundaries established by Ordinance No. 3467 which was adopted at the end of the County’s 2021 redistricting process and each of which propose new boundaries based on three previously considered maps commonly referred to as Map A, Map B, and the Chamber Map. Hearing date set for April 18, 2023. All Districts.Agenda Item TransmittalApril 18th, 2023 – Item #35 on agendaHearing to Adopt an Ordinance to Amend Chapter 2.60 of the County Code to repeal Ordinance 3476 and change Supervisorial District boundaries and submittal of a resolution confirming the Board’s findings in support of the new district boundaries. All Districts.Agenda Item Transmittal

Graph and download economic data for Estimated Percent of People of All Ages in Poverty for San Luis Obispo County, CA (PPAACA06079A156NCEN) from 1989 to 2023 about San Luis Obispo County, CA; San Luis Obispo; CA; percent; child; poverty; and USA.

2011-2020 Supervisorial District Boundaries in polygon format. The Coordinates for this dataset are State Plane Coordinate System, Zone 5, NAD 1983 Feet. Census blocks were the original base. The data was then adjusted to align better with the Assessor Parcel Data (CDDATA), creeks, and roads. This adjustment came after the County Surveyor wrote up the legal description to follow property boundaries. These boundaries are updated every 10 years after the decennial census. September 6th, 2011 – Item B-1 on the agenda:Hearing to consider ordinance establishing the new Supervisorial District Boundaries under Redistricting pursuant to Elections Code Sections 21500-21506; All Districts. (ITEM INTRODUCED AUGUST 23, 2011.) (RECOMMEND APPROVAL AND INSTRUCT CHAIRPERSON TO SIGN.)In the corresponding minutes it is stated under item B-1 “the Board directs staff to prepare an ordinance reflecting redistricting plans under Option B-2 for introduction on Tuesday, September 13, 2011 and a hearing on Tuesday, September 20, 2011.”September 13th, 2011 – Item A-23 (not listed on agenda)In corresponding minutes it is stated under item A-23 “Introduction of an Ordinance establishing the New Supervisorial District Boundaries under Redistricting pursuant to Elections Code Sections 21500-21506, as revised by your Board on September 6, 2011; All Districts, Pulled for separate action.”Also includes attached documents:Agenda Item TransmittalOption B2 MapOption B2 InsetsThereafter, on motion of Supervisor Bruce S. Gibson, seconded by Supervisor James R. Patterson, and on the following roll call vote:AYES: Supervisors: Bruce S. Gibson, James R. Patterson, Chairperson Adam HillNOES: Supervisors: Frank Mecham, Paul A. TeixeiraAbsent: NoneThe Board sets Tuesday, September 20, 2011 at 9:00 A.M. as the date for a public hearing to adopt an ordinance establishing the new Supervisorial District boundaries under Redistricting pursuant to Elections Code Sections 21500-21506 and directs the Clerk to give notice of hearing date.September 20th, 2011 – Item C-2 on the agenda:Hearing to consider an ordinance establishing the new Supervisorial District boundaries under Redistricting, pursuant to Elections Code Sections 21500-21506 as revised by your Board on September 6, 2011; All Districts. (ITEM INTRODUCED SEPTEMBER 13, 2011.)In the corresponding minutes, it is stated under item C-2 that the ordinance was adopted.

Graph and download economic data for 90% Confidence Interval Lower Bound of Estimate of People of All Ages in Poverty for San Luis Obispo County, CA (PECILBAACA06079A647NCEN) from 1989 to 2023 about San Luis Obispo County, CA; San Luis Obispo; CA; child; poverty; persons; and USA.

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) Database (MTDB). The MTDB 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. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.

Graph and download economic data for Estimated Percent of People Age 0-17 in Poverty for San Luis Obispo County, CA (PPU18CA06079A156NCEN) from 1989 to 2023 about San Luis Obispo County, CA; San Luis Obispo; under 18 years; CA; percent; child; poverty; and USA.

Graph and download economic data for 90% Confidence Interval Lower Bound of Estimate of Percent of Related Children Age 5-17 in Families in Poverty for San Luis Obispo County, CA (PPCILB5T17CA06079A156NCEN) from 1989 to 2023 about San Luis Obispo County, CA; San Luis Obispo; 5 to 17 years; family; CA; percent; child; poverty; and USA.

Graph and download economic data for Estimated Percent of Related Children Age 5-17 in Families in Poverty for San Luis Obispo County, CA (PP5T17CA06079A156NCEN) from 1989 to 2023 about San Luis Obispo County, CA; San Luis Obispo; 5 to 17 years; family; CA; percent; child; poverty; and USA.

Graph and download economic data for High School Graduate or Higher (5-year estimate) in San Luis Obispo County, CA (HC01ESTVC1606079) from 2010 to 2023 about San Luis Obispo County, CA; San Luis Obispo; secondary schooling; secondary; educational attainment; education; CA; 5-year; and USA.

About this dataset

Context

The dataset tabulates the San Luis Obispo County median household income by race. The dataset can be utilized to understand the racial distribution of San Luis Obispo County income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• San Luis Obispo County, CA median household income breakdown by race betwen 2012 and 2022
• Median Household Income by Racial Categories in San Luis Obispo County, CA (2022)

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of San Luis Obispo County median household income by race. You can refer the same here