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TwitterComprehensive demographic dataset for San Fernando, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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Context
The dataset tabulates the San Fernando 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 Fernando 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 San Fernando was 23,364, a 0.50% decrease year-by-year from 2022. Previously, in 2022, San Fernando population was 23,482, a decline of 0.87% compared to a population of 23,688 in 2021. Over the last 20 plus years, between 2000 and 2023, population of San Fernando decreased by 326. In this period, the peak population was 24,397 in the year 2015. 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for San Fernando Population by Year. You can refer the same here
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Context
The dataset tabulates the San Fernando population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for San Fernando. The dataset can be utilized to understand the population distribution of San Fernando by age. For example, using this dataset, we can identify the largest age group in San Fernando.
Key observations
The largest age group in San Fernando, CA was for the group of age 30 to 34 years years with a population of 2,164 (9.12%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in San Fernando, CA was the 85 years and over years with a population of 179 (0.75%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for San Fernando Population by Age. You can refer the same here
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TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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U.S. Census Bureau QuickFacts statistics for San Fernando 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.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Context
The dataset tabulates the San Fernando 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 Fernando. 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 15,400 (64.94% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age cohorts:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for San Fernando Population by Age. You can refer the same here
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Context
The dataset tabulates the population of San Fernando by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for San Fernando. The dataset can be utilized to understand the population distribution of San Fernando by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in San Fernando. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for San Fernando.
Key observations
Largest age group (population): Male # 40-44 years (1,112) | Female # 30-34 years (1,139). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for San Fernando Population by Gender. You can refer the same here
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Twitter" Plan Objectives: This map was derived from the Commission's Model C Community of Interest map. The Model C map best represents the nuances of the County and the wishes of the communities made known via public comment, highlighting shared priorities. This map keeps most of the San Fernando Valley in one district while equally breaking up the San Gabriel Valley. The map makes good on racial, economic, political and religious disparities, and ensures a fair chance for equal representation for the demographics within each district. This proposed map corrects many non-linear lines in the current Supervisorial maps, while not disrupting communities that currently lobby/advocate as one voice and leaves them together. The current Supervisorial maps do not need to be drastically redrawn, but slightly amended to correct for population differences and ensure communities are accurately grouped." - OP 025 (Bob Huff)
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Demographics, population, housing, income, education, schools, and geography for ZIP Code 91340 (San Fernando, CA). Interactive charts load automatically as you scroll for improved performance.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the San Fernando 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 Fernando 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 Fernando was 23,685, a 0.30% decrease year-by-year from 2021. Previously, in 2021, San Fernando population was 23,757, a decline of 0.89% compared to a population of 23,970 in 2020. Over the last 20 plus years, between 2000 and 2022, population of San Fernando decreased by 5. In this period, the peak population was 24,397 in the year 2015. 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for San Fernando Population by Year. You can refer the same here
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TwitterPlan Description: This plan creates four Latino districts (total population in SD 1, 2, 4, and 5 over 50%) and is reasonably compact for districts 1 and 4. Districts 2, 3, and 5 are contorted in order to accommodate the need to add Latino population. Still this is a starting point for discussion.Plan Objectives:This is a plan with four Latino majority districts (total population above 50%) and CVAP percentages of Latinos over 40%, although in no district do they form a majority CVAP. It is provided for discussion purposes only and I do not endorse this plan, but it could be used as a starting point for commissioners who wish to maximize Latino participation. I continue to support OP 005, my original plan. SD 1 and 4 are compact. SD 5 comprises of the core AV cities, the high Latino Northeast San Fernando Valley and Reseda/Van Nuys area, and densely populated Latino first generation immigrant communities in the central city areas like Pico Union, Highland Park, and Macarthur Park. SD 2 connects South LA, the Eastside (East LA and SELA cities), Burbank, Glendale, and Pasadena. In this plan, the Black community which used to be in SD 2 does end up getting cracked into SD 2 and SD 4. The Asian community is evenly split in all districts except 1 where they are about 25% of the population. The Non Hispanic White population forms a majority in SD 3 as it connects the rich coastal cities, Beverly Hills and Malibu, Santa Clarita, and the outer portions of the Antelope Valley. Ultimately, as demographics continue to trend in the current direction with higher fertility among Latinos, older White population, and Black displacement into the Inland Empire and out of state, it is possible that by 2030 these districts, or a slightly tweaked version, could produce not just four majority Latino total population districts but at least three Latino CVAP majority districts.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Context
The dataset presents the median household income across different racial categories in San Fernando. 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 San Fernando population by race & ethnicity, the population is predominantly Some other race. This particular racial category constitutes the majority, accounting for 38.15% of the total residents in San Fernando. Notably, the median household income for Some other race households is $79,335. Interestingly, despite the Some other race population being the most populous, it is worth noting that Asian households actually reports the highest median household income, with a median income of $179,167. This reveals that, while Some other races may be the most numerous in San Fernando, Asian households experience greater economic prosperity in terms of median household income.
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for San Fernando median household income by race. You can refer the same here
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This dataset tracks annual hispanic student percentage from 1991 to 2022 for San Fernando Senior High School vs. California and Los Angeles Unified School District
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This dataset tracks annual white student percentage from 1990 to 2022 for San Fernando Senior High School vs. California and Los Angeles Unified School District
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Twitter" Plan Objectives: This is an option for connecting North County in two pieces via reasonable roadway routes. This would provide separate supervisorial representation for the Santa Clarita area and the Palmdale-Lancaster area. It incorporates many of the insights/purposes used in maps I submitted previously. ... Per Stuart Waldman’s SFV shapefile, 55.80% of the population of District 3 in this plan is in the San Fernando Valley." - OP 075 (David Holtzman)
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This dataset tracks annual black student percentage from 1988 to 2022 for San Fernando Senior High School vs. California and Los Angeles Unified School District
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Context
The dataset tabulates the Non-Hispanic population of San Fernando by race. It includes the distribution of the Non-Hispanic population of San Fernando across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of San Fernando across relevant racial categories.
Key observations
Of the Non-Hispanic population in San Fernando, the largest racial group is White alone with a population of 1,009 (61.37% of the total Non-Hispanic population).
https://i.neilsberg.com/ch/san-fernando-ca-population-by-race-and-ethnicity.jpeg" alt="San Fernando Non-Hispanic population by race">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for San Fernando Population by Race & Ethnicity. You can refer the same here
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This dataset tracks annual math proficiency from 2012 to 2023 for San Fernando Senior High School vs. California and Los Angeles Unified School District
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TwitterPlan Description: Map F-1 Revised - SFV One District is a modified map designed to take the complaints of the San Fernando Valley and keep them in one district as much as possible. It also meets the Armenian community desire to attach North Hollywood to their communities of interest to the east in Burbank and Glendale. Plan Objectives: Map F-1 Revised - SFV One District is a modified map designed to take the complaints of the San Fernando Valley and keep them in one district as much as possible. Unfortunately, you can't keep them in one district and have enough for the North County to attach themselves to the remaining cities in the foothill communities. Also, the Armenian community expressed an interest to attach North Hollywood to their communities of interest to the east in Burbank and Glendale.This map does the following:SD 1 stays the same as previous in the San Gabriel Valley except moves Covina to SD 5 to meet with their city elected official's request as stated in their letter to the commission and in comments at a San Gabriel Valley COG meeting. Covina has historically always been in SD 5 in the 1991, 2001, and 2011 redistrictings, unlike Walnut which was in SD 5 in 1991 and in SD 1 in 2001 and 2011 and so was not moved. It also adds La Habra Heights. On the City of LA side it keeps Pico-Union whole by jutting west north of the 10 freeway.SD 1 now links Chinatown with Little Tokyo, adds Koreatown, and connects all to the Asian communities along the 10 and 60 corridors. It also adjusts the northern boundary to match the Glendale/LA City limit in response to commissioner Obregon's concerns. It adds La Habra Heights and Pico Rivera for population balance. Pico Rivera was a member of the ACE Construction Authority and has connections to SGV interests such as the Whittier Narrows and railroad traffic so it is not unusual to add them to a SGV focused district. It connects Sunset Junction and Silver Lake and does not split this historically LGBT community. SD 2 keeps the Westside Neighhborhood Council whole and regularizes the boundary to cover the portions of Mid City with a significant Black population. It now stretches to the coast so that the South Bay COG is only split into two pieces. It does not have an odd strip connecting through Dockweiler Beach. Blacks remain the second largest group at about 27% compared to 30% in the baseline map so they remain able to influence their supervisor. It includes Watts, South Central, Ladera Heights, Crenshaw, Inglewood, and Compton, the core of the Black community. South of the 10, it cuts off at the 405 freeway (with the exception of Culver City's extension to the west) as communities west of the 405 tend to be more affluent. It continues to maintain a community of interest along UCLA and covers denser communities of Sawtelle Japantown, Palms, and West Los Angeles near the Expo Line and 405 freeway heavily populated by UCLA students. Although the Beach Cities are also affluent this is more compact and does not take them on a district all the way to the San Fernando Valley. In Downtown LA it regularizes the boundary along 5th Street.SD 3 consists of the San Fernando Valley west of North Hollywood, the Las Virgenes/Malibu COG, Santa Monica, Venice, Mar Vista, Playa Vista, homeowner rich areas of the Westside and areas west of the 405, West Hollywood, Hollywood, Marina Del Rey, the Miracle Mile, Park La Brea, and Beverly Hills. It keeps as much of the SFV as whole as possible while respecting the carveouts requested by members of the community. It does connect some communities south of the hill but they will not be the largest influence and the SFV will be the majority of this district, and does not go south of the airport. SD 4 consists of the SELA communities and the Gateway Cities except Pico Rivera. It also has the Palos Verdes Peninsula. Although not ideal, they are better suited to SD 4 than SD 2 to not further dilute Black influence in SD 2. It keeps Long Beach whole and now includes Lomita, which is more of a working class community tied into the ports than the beach cities to its west. Lomita is also part of LAUSD and Narbonne High School in Harbor City serves Lomita. It includes Carson for population balance and relatively high Latino population (32% CVAP). If it is desired to strengthen the Black CVAP in SD 2 the City of Carson Council District 1 (generally consisting of the part of Carson north of the 405 freeway and Del Amo Boulevard) could be placed in SD 2 and the rest stay in SD 4. SD 5 consists of the foothill cities, north County, and links Armenian-American dominant communities of North Hollywood, Burbank and Glendale. It links the tri cities of Burbank, Glendale, and Pasadena together. It links the 210 corridor together except for Azusa, which is grouped with central SGV cities in the state legislative district maps because of commonality of interest. It places Shadow Hills and Kagel Canyon in a more rural district. For population balance it includes the Los Feliz and Griffith Park neighborhoods, as well as the Hollywood Hills and Hollywood east of the 101 freeway. It maintains two CVAP Latino districts (1 and 4 at 53.25% and 51.17% respectively), one Black influence district (2 at 27.16%, after Latinos at 34.56% and above Whites at 25.25%) and creates an Asian influence district (1 at 26.72%). It is more compact than original F-1 on the western edge and central city, with more regular boundaries other than the UCLA extension.A pro or con is that it splits the coastline into three districts. This could mean more focus on the coast, or a situation where the coast is neglected because there is no champion. It should also be noted that due to the use of Redistricting Data Units it is impossible to make clean cuts at freeways or neighborhood council boundaries. Commissioner Holtzman's comments should be addressed in the 2031 cycle.
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This dataset tracks annual graduation rate from 2013 to 2023 for San Fernando Senior High School vs. California and Los Angeles Unified School District
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Context
The dataset tabulates the population of San Fernando by race. It includes the population of San Fernando across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of San Fernando across relevant racial categories.
Key observations
The percent distribution of San Fernando population by race (across all racial categories recognized by the U.S. Census Bureau): 29.92% are white, 0.94% are Black or African American, 2.08% are American Indian and Alaska Native, 2.20% are Asian, 38.15% are some other race and 26.71% are multiracial.
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for San Fernando Population by Race & Ethnicity. You can refer the same here
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TwitterComprehensive demographic dataset for San Fernando, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.