Population by 5-year Age Groups by San Diego Region from the 2020 Decennial Census

Population by San Diego County Supervisorial District from the 2020 Decennial Census

About this dataset

Context

The dataset tabulates the San Diego 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 San Diego 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 2022, the population of San Diego was 3,655, a 1.32% decrease year-by-year from 2021. Previously, in 2021, San Diego population was 3,704, a decline of 0.83% compared to a population of 3,735 in 2020. Over the last 20 plus years, between 2000 and 2022, population of San Diego decreased by 1,162. In this period, the peak population was 4,817 in the year 2000. 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 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the San Diego is shown in this column.
• Year on Year Change: This column displays the change in San Diego 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 San Diego Population by Year. You can refer the same here

Graph and download economic data for Net County-to-County Migration Flow (5-year estimate) for San Diego County, CA (DISCONTINUED) (NETMIGNACS006073) from 2009 to 2020 about San Diego County, CA; migration; San Diego; flow; Net; 5-year; CA; and population.

Population by Age, Sex and Ethnicity by City of San Diego Council District from the 2020 Decennial Census

About this dataset

Context

The dataset tabulates the San Diego household income by gender. The dataset can be utilized to understand the gender-based income distribution of San Diego 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 Diego, TX annual median income by work experience and sex dataset : Aged 15+, 2010-2022 (in 2022 inflation-adjusted dollars)
• San Diego, TX annual income distribution by work experience and gender dataset (Number of individuals ages 15+ with income, 2021)

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 Diego income distribution by gender. You can refer the same here

About this dataset

Context

The dataset tabulates the median household income in San Diego. It can be utilized to understand the trend in median household income and to analyze the income distribution in San Diego by household type, size, and across various income brackets.

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 Diego, CA Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
• Median Household Income Variation by Family Size in San Diego, CA: Comparative analysis across 7 household sizes
• Income Distribution by Quintile: Mean Household Income in San Diego, CA
• San Diego, CA households by income brackets: family, non-family, and total, 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 Diego median household income. You can refer the same here

This project uses locations of testing sites and hospitals, as well as census information by census tracts in San Diego, to compare infection risks between white and non-white areas. Linear regression has been used to find correlation between population characteristics and testing site patterns.Additional information in the Project PDFNotable Modules Used: Python: pandas, geopandas, numpy, matplotlib, sklearn ArcGIS: find_existing_locations, enrich_layer, join_features

Sample demographics of the refugee participants in San Diego, CA, sampled between November 2020-December 2020.

Historical Dataset of San Diego Neighborhood Homeschools is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2019-2023),Total Classroom Teachers Trends Over Years (2019-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2019-2023),Hispanic Student Percentage Comparison Over Years (2019-2023),Black Student Percentage Comparison Over Years (2019-2023),White Student Percentage Comparison Over Years (2019-2023),Two or More Races Student Percentage Comparison Over Years (2019-2023),Diversity Score Comparison Over Years (2019-2023),Free Lunch Eligibility Comparison Over Years (2019-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2019-2023)

Population by Sex by San Diego Region from the 2020 Decennial Census

In 2021, the San Diego County had almost 59,000 people directly employed in the life sciences industry. Thus, this county was the largest by life sciences employment in California. The state of California has the largest life sciences industry among all U.S. states.

The spatial data results of USGS surveys for Least Bell's Vireo (Vireo bellii pusillus, LBVI) along the Tijuana River and San Diego River in 2020 to determine abundance and distribution of vireos to facilitate population trend analyses and collect information on dispersal and site fidelity of banded vireos as part of long-term demographic studies at multiple sites.

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.

Data by medical encounter for the following conditions by age, race/ethnicity, and sex (gender):

Assaults Disorders of the Teeth and Jaw Drowning Falls Firearm-Related Injuries Heat-Related Illnesses and Injuries Hip Fractures Homicide (See Assault Death) Motor Vehicle Injuries
Motor Vehicle Injuries to Pedalcyclist Motor Vehicle Injuries to Pedestrian Poisoning Traumatic Brain Injury (TBI) Unintentional Injuries

Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population. Blank Cells: Events less than 11 are suppressed. Starting with data year 2022, geographies with less than 20,000 population contain no age-adjusted rates and all rates based on events <20 are suppressed due to statistical instability. Rates not calculated in cases where zip code is unknown. SES: Is the median household income by Subregional Area (SRA) community. Data for SRA only.

Data sources: California Department of Public Health, Center for Health Statistics, Office of Health Information and Research, Vital Records Business Intelligence System (VRBIS), 2022. California Department of Health Care Access and Information (HCAI), Emergency Department Discharge Database and Patient Discharge Database, 2022. SANDAG Population Estimates, 2022 (v11/23). 2022 population estimates were derived from the 2020 decennial census. Comparison of rates to prior years may not be appropriate. Prepared by: County of San Diego, Health and Human Services Agency, Public Health Services, Community Health Statistics Unit, May 2024.

2022 Community Profile Data Guide and Data Dictionary Dashboard: https://public.tableau.com/app/profile/chsu/viz/2022COREDataGuideandDataDictionary/Home

In San Diego in October 2020, the leading radio station was KPBS-FM with a rating of ***, i.e. *** percent of those listening to the radio in San Diego listened to KPBS-FM for at least five minutes in each 15-minute period. The station is generally one of the most listened to radio formats in the city broadcasting news radio. Other popular stations are KXSN-FM (classic hits) and KLNV-FM which features regional Mexican radio.

Popular in San Diego is the regional Mexican format, which features on stations across the United States although rarely performs as well elsewhere. Mexican formats tend not to garner a high share of listeners in cities further away from the border. Even radio ratings in Las Vegas do not generally reflect an interest in such radio content despite its relative proximity to San Diego and Los Angeles, where the format is also popular. Ratings in cities like St. Louis on the other hand show a near non-existent audience for Mexican radio content, with preferences leaning towards gospel, religious and contemporary Christian formats.

Regional Mexican radio in the U.S.

As with the top radio stations in San Diego, regional Mexican formats frequently rank highly in Los Angeles in terms of ratings. For LA residents, KLAX-FM (branded as ‘La Raza’) is a popular choice, whereas in San Diego the regional Mexican station is KLNV-FM, operating on the ***** frequency and known as ‘Que Buena 106.5’.

KLNV is owned by Univision Communications and is one of several radio stations within the company’s radio broadcasting division Uforia Audio Network. Uforia also operates WOJO-FM in Chicago, WQBU-FM in New York and KLTN-FM in Houston among many others throughout the country.

Historical Dataset of San Diego Riverside is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2003-2023),Total Classroom Teachers Trends Over Years (2003-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2003-2023),American Indian Student Percentage Comparison Over Years (2003-2023),Hispanic Student Percentage Comparison Over Years (2002-2023),Black Student Percentage Comparison Over Years (2015-2016),White Student Percentage Comparison Over Years (2003-2021),Diversity Score Comparison Over Years (2001-2023),Free Lunch Eligibility Comparison Over Years (2005-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2005-2020),Reading and Language Arts Proficiency Comparison Over Years (2010-2022),Math Proficiency Comparison Over Years (2010-2023),Overall School Rank Trends Over Years (2010-2023)

Severely overcrowded housing among participants in San Diego, CA from September to November 2020.

The average monthly asking rent in San Diego, California, increased overall between 2020 and 2024. The lowest value was observed in the third quarter of 2020 at ***** U.S. dollars per square foot, but increased significantly to ***** U.S. dollars in the fourth quarter of 2023. Subsequently, it fell to ***** U.S. dollars in the first quarter of 2024. Hawaii, San Francisco, and San Jose were the markets with the highest average shopping center rent in the U.S.

Data by medical encounter for the following conditions by age, race/ethnicity, and gender:

Chlamydia Gonorrhea Syphilis Tuberculosis

Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population. Blank Cells: Rates not calculated for fewer than 11 events. Rates not calculated in cases where zip code is unknown. Geography not reported where there are no cases reported in a given year. SES: Is the median household income by SRA community. Data for SRA's only.

Data sources: County of San Diego, Health and Human Services Agency, Tuberculosis Control Program, County TB Registry. County of San Diego, Health and Human Services Agency, HIV, STD and Hepatitis Branch, Morbidity Database. SANDAG Population Estimates, 2020 (vintage: 09/2022). Population estimates were derived using the 2010 Census and data should be considered preliminary. Prepared by: County of San Diego, Health and Human Services Agency, Public Health Services, Community Health Statistics Unit, February 2023.

2020 Community Profile Data Guide and Data Dictionary Dashboard: https://public.tableau.com/app/profile/chsu/viz/2020CommunityProfilesDataGuideandDataDictionaryDashboard_16763944288860/HomePage