About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Burbank: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 1,311(2.98%) households where the householder is under 25 years old, 16,198(36.83%) households with a householder aged between 25 and 44 years, 15,076(34.28%) households with a householder aged between 45 and 64 years, and 11,390(25.90%) households where the householder is over 65 years old.
• The age group of 45 to 64 years exhibits the highest median household income, while the largest number of households falls within the 25 to 44 years bracket. This distribution hints at economic disparities within the city of Burbank, showcasing varying income levels among different age demographics.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 Burbank median household income by age. You can refer the same here

Financial overview and grant giving statistics of Burbank City Employees Association Inc

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Burbank: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 110(1.14%) households where the householder is under 25 years old, 2,895(29.93%) households with a householder aged between 25 and 44 years, 3,977(41.11%) households with a householder aged between 45 and 64 years, and 2,692(27.83%) households where the householder is over 65 years old.
• The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the city of Burbank, showcasing varying income levels among different age demographics.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 Burbank median household income by age. You can refer the same here

Plan 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.

Plan 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.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Burbank. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Burbank, the median income for all workers aged 15 years and older, regardless of work hours, was $59,715 for males and $40,069 for females.

These income figures highlight a substantial gender-based income gap in Burbank. Women, regardless of work hours, earn 67 cents for each dollar earned by men. This significant gender pay gap, approximately 33%, underscores concerning gender-based income inequality in the city of Burbank.

- Full-time workers, aged 15 years and older: In Burbank, among full-time, year-round workers aged 15 years and older, males earned a median income of $88,731, while females earned $73,436, leading to a 17% gender pay gap among full-time workers. This illustrates that women earn 83 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Burbank.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 Burbank median household income by race. You can refer the same here