About this dataset

Context

The dataset tabulates the San Luis Obispo median household income by race. The dataset can be utilized to understand the racial distribution of San Luis Obispo 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, CA median household income breakdown by race betwen 2011 and 2021
• Median Household Income by Racial Categories in San Luis Obispo, CA (2021, in 2022 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/.

Interested in deeper insights and visual analysis?

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

About this dataset

Context

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

Key observations

There is a slight majority of male population, with 50.58% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 County is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of San Luis Obispo 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 San Luis Obispo County Population by Race & Ethnicity. You can refer the same here

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.

This dataset provides information about the number of properties, residents, and average property values for Biddle Ranch Road cross streets in San Luis Obispo, CA.

Analysis of ‘San Luis Obispo County’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/43860988-d540-4521-a518-67332021c2bd on 27 January 2022.

--- Dataset description provided by original source is as follows ---

The principal amounts, sale dates, interest rates, terms, purposes, ratings, costs of issuance, financing team participants, issuance documents, and annual reporting (if applicable), among 67 other data points required under California Government Code section 8855, of the various types of debt issued by all local government agencies in San Luis Obispo County.

--- Original source retains full ownership of the source dataset ---

These data were automated to provide an accurate high-resolution historical shoreline of San Luis Obispo Bay, CA suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in San Luis Obispo County. Based on the latest 2018-2022 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in San Luis Obispo County. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2022

In terms of income distribution across age cohorts, in San Luis Obispo County, householders within the 45 to 64 years age group have the highest median household income at $119,996, followed by those in the 25 to 44 years age group with an income of $107,051. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $77,192. Notably, householders within the under 25 years age group, had the lowest median household income at $32,170.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific 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 San Luis Obispo County median household income by age. You can refer the same here

The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a 12,000 scale.

This dataset provides information about the number of properties, residents, and average property values for Bullock Lane cross streets in San Luis Obispo, CA.

This dataset provides information about the number of properties, residents, and average property values for Brook Street cross streets in San Luis Obispo, CA.

This dataset contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). California Polytechnic State Univeristy, San Luis Obispo, collected the data from their in-situ moored station named Cal Poly Pier San Luis Obispo in the North Pacific Ocean and Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from California Polytechnic State Univeristy, San Luis Obispo, and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this dataset when new files are available.

This dataset provides information about the number of properties, residents, and average property values for Avila Valley Drive cross streets in San Luis Obispo, CA.

65 to 74 years Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in San Luis Obispo, California by age, education, race, gender, work experience and more.

The Diablo Canyon Power Plant (DCPP) Lidar and Imagery datasets are comprised of three separate Lidar surveys: Diablo Canyon (2010), Los Osos (2011), and San Simeon (2013). The Diablo Canyon project study is located in San Luis Obispo County, California, and encompasses approximately 10,634 acres (43.03 square kilometers). Watershed Sciences, Inc. (WSI) collected Light Detection and Ranging (Lidar) data on both the inland and intertidal land within the Diablo Canyon study area on 28 January 2010. For optimal capture of the intertidal zone, WSI acquired Lidar data of the coastline during seasonal low tides (between 0.0 ft and peak low of ~ -1.5 ft) and in conjunction with a PDOP value of less than 3.0. This Lidar survey utilized a Leica ALS50 Phase II laser system. The sensor scan angle was ±13° from nadir with a pulse rate designed to yield an average native density of ≥8 pulses per square meter over terrestrial surfaces. The area of interest was surveyed with an opposing flight line side-lap of ≥50% (≥100% overlap) to reduce laser shadowing and increase surface laser painting. This survey was flown as part of the DCPP Long-Term Seismic Program (LTSP). In addition to aerial Lidar data, DEM and orthophotography raster data are available for this area: Diablo Canyon DEMs and Orthophotos.