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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 distribution of median household income among distinct age brackets of householders in Los Angeles. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Los Angeles. 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 2023
In terms of income distribution across age cohorts, in Los Angeles, householders within the 25 to 44 years age group have the highest median household income at $89,991, followed by those in the 45 to 64 years age group with an income of $87,355. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $56,354. Notably, householders within the under 25 years age group, had the lowest median household income at $46,629.
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.
Age groups classifications 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 Los Angeles median household income by age. You can refer the same here
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Context
The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Los Angeles. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..
Key observations
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 Los Angeles median household income by race. You can refer the same here
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TwitterIncludes median household income in the past twelve months (in 2022 inflation-adjusted dollars). Geography-specific median household income are calculated as the population-weighted averages of the median household incomes within their respective 2020 census tracts. Median household income is defined as the amount that divides the household income distribution of a population into two equal groups; half of the population has a household income above that amount, whereas the other half has a household income below that amount. Household income is an important driver of life expectancy and other health outcomes, as individuals with higher household incomes, on average, experience better health and live longer than individuals with lower household incomes. This is largely due to increased access to opportunities, resources, and healthier living conditions that higher income individuals experience compared to lower income individuals.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.
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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 mean household income for each of the five quintiles in Los Angeles County, CA, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income Levels:
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 Los Angeles County median household income. You can refer the same here
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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 presents the the household distribution across 16 income brackets among four distinct age groups in Los Angeles: 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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income brackets:
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 Los Angeles median household income by age. You can refer the same here
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TwitterComprehensive demographic dataset for University Park, Los Angeles, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Median Household Income in California (MEHOINUSCAA646N) from 1984 to 2024 about CA, households, median, income, and USA.
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TwitterComprehensive demographic dataset for Watts, Los Angeles, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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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 presents the median household income across different racial categories in Los Angeles County. 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 Los Angeles County population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 35.43% of the total residents in Los Angeles County. Notably, the median household income for White households is $101,816. Interestingly, despite the White population being the most populous, it is worth noting that Native Hawaiian and Other Pacific Islander households actually reports the highest median household income, with a median income of $107,300. This reveals that, while Whites may be the most numerous in Los Angeles County, Native Hawaiian and Other Pacific Islander 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 Los Angeles County median household income by race. You can refer the same here
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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 presents a breakdown of households across various income brackets in Los Angeles County, CA, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Los Angeles County, CA reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Los Angeles County households based on income levels.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income Levels:
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 Los Angeles County median household income. You can refer the same here
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TwitterComprehensive demographic dataset for Sherman Oaks, Los Angeles, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Los Angeles Index of Displacement PressureThe Los Angeles Index of Displacement Pressure combines measures that past research efforts and our own original research have shown correlate with future change and displacement pressure. Created in 2015/2016, the index primarily uses data from 2012-2015.These seven measures are applied at the Census Tract level for tracts where >=40% of households earn less than the City's median income. The measures are grouped into two classes: change factors and displacement pressure factors.Change factor measures are those that suggest future revitalization is likely due to investment, projected housing price gains, and proximity to recently changed areas. On the other hand, displacement pressure factors capture areas with a high concentration of existing residents who may have difficulty absorbing massive rent increases that often accompany revitalization. The Los Angeles Index of Displacement Pressure captures the intersection between these two classes.Change Measures Transportation InvestmentMeasure 1: Distance to current rail stations (within a 1/2 mile radius. Tracts beyond 1/2 mile receive no score for this measure). Source: LA MetroMeasure 2: Distance to rail stations under construction/recently opened in 2016 (within a 1/2 mile radius. Tracts beyond 1/2 mile receive no score for this measure)Source: LA Metro Proximity to Rapidly Changing NeighborhoodsMeasure 3: Distance to the closest "top tier" changing neighborhood, as defined by the Los Angeles Index of Neighborhood Change (within a 1 mile radius. Tracts beyond 1 mile receive no score for this measure)Source: The Los Angeles Index of Neighborhood Change Housing MarketMeasure 4: Change in housing price projections from 2015 to 2020 Source: ESRI Community Analyst Displacement Pressure FactorsMeasure 5: Percent of households that rentSource: American Community Survey, Five-Year Estimate, 2014Measure 6: Percent of households that are extremely rent burdened (pay >=50% of household income on rent)Source: American Community Survey, Five-Year Estimate, 2014Measure 7: The number of affordable properties and housing units that are due to expire by 2023.Source: The Los Angeles Housing Element, 2012Date updated: April 7, 2018Refresh rate: Never - Historical data
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Net-Interest-Income Time Series for American Airlines Group. American Airlines Group Inc., through its subsidiaries, operates as a network air carrier in the United States, Latin America, Atlantic, and Pacific. The company provides scheduled air transportation services for passengers and cargo through its hubs in Charlotte, Chicago, Dallas/Fort Worth, Los Angeles, Miami, New York, Philadelphia, Phoenix, and Washington, D.C., as well as through partner gateways in London, Doha, Madrid, Seattle/Tacoma, Sydney, and Tokyo. It also operates a mainline fleet of 977 aircraft. The company was formerly known as AMR Corporation and changed its name to American Airlines Group Inc. in December 2013. American Airlines Group Inc. was founded in 1926 and is headquartered in Fort Worth, Texas.
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TwitterAs described in the Executive Summary below from the Draft 2021-2029 Housing Element, these are the parcels from the 'Rezoning Program' as of 7/26/21. For more information about the Draft Housing Element, please click here.EXECUTIVE SUMMARY (from Draft Housing Element):The County is required to ensure the availability of residential sites, at adequate densities and appropriate development standards, in the unincorporated areas to accommodate its share of the regional housing need--also known as the Regional Housing Needs Allocation (RHNA). The unincorporated areas have been assigned a RHNA of 90,052 units for the 2021-2029 Housing Element planning period, which is subdivided by level of affordability as follows:Very Low Income – 25,648Lower Income – 13,691Moderate Income – 14,180Above Moderate Income – 36,533The Sites Inventory (Appendix A) is comprised of vacant and underutilized sites that are zoned at appropriate densities and development standards to facilitate housing development. Other strategies to accommodate the RHNA include projected number of ADUs, specific plan capacity, selected entitled projects, and capacity or planned development on County-owned sites within cities. The remainder of the RHNA is accommodated by sites to be rezoned to accommodate higher density housing development.MORE DETAILED INFO ON METHODOLOGY: ((PLACEHOLDER for Appendix G from BOS Consent posting))UPDATE HISTORY:1/5/21 - Coded Supervisorial District for each parcel2/4/21 - Added four fields that show the proposed / existing Land Use Policy / Zoning that display the category + brief description + density range - done mainly for the Story Map. Also, renamed the GIS layer (removed 'Adequate_Sites_Inventory' from the name).3/16/21 - Added 'Status Update (2021)' field to flag those parcels for removal following findings from Housing Section and EIR consultant.3/31/21 - Began making edits based on QC done by Housing Section in March, 2021 and exported this layer to an ARCHIVE version so we have the original data if needed. Made the following updates in AltadenaCoded all 'GC' categories as 'N/A' for RHNA Eligible and removed proposed LUP / Zoning category - THESE CAN NO LONGER BE COUNTED IN REZONE.Downgraded Proposed MU to Proposed CG for all current 'MU / Commercial Zones', and updated min/max density. Nulled out proposed zoning categories. Need to re-do unit calculations!4/1/21 - Continuing with Altadena QC, updating Status Update (2021) field:Downgraded Proposed MU to Proposed CG for all current 'MU / Non-Commercial Zones', and updated min/max density. Need Proposed Zoning from HE Section for consistency with CG category. Need to re-do unit calculations!Coded the ones marked 'Zoe to review'4/4/21 - Coded additional parcels that were condos (missed from before). Updated '2021 Update notes' and condo-related fields (including units). In Altadena, re-calculated units for all that are downgraded from Prop LU MU > CG. Identified those not meeting 16 unit minimum, and of those that were RHNA eligible, were coded as 'No'. Noted in the '2021 Update notes'.4/5/21 - Made the following edits per QC results from Housing Section:Lennox / W. Athens - coded '65 dB' parcels as "N/A" (removing from Rezoning list).Altadena - verified that no additional RHNA eligible parcels removed due to the criteria: “Existing residential buildings 50 or more years old, where the number of units allowed under the new LU is at least 2 - 3 times what's on the ground”All areas - coded Density Bonus of 27.5% as identified from the Housing Section as blank4/6/21 - Continued making edits per the QC results from Housing Section from the Rezoning list.4/7/21 - Continued making edits per the QC results from the Housing Section for Altadena.4/10/21 - Double-checked all Rezone edits. Re-calculated all units for all those that were updated (Status Update 2021 IS NOT NULL) and are on Rezoning list (RHNA Eligible? <> 'N/A'). Exported RHNA eligible to spreadsheet and double-checked unit maths.4/12/21 - Updated last proposed zoning categories in Altadena (confirmed by Housing Section). Updated current / proposed zoning descriptions (removed zoning suffices).4/13/21 - Made additional QC updates to some statuses regarding parcels that overlap with ASI.4/14/21 - Updated current zoning for the recently adopted By-Right Housing Ordinance Zone Change (all of these cases have the status of "N/A" - or, not considered for rezoning)4/15/21 - Researched 11 parcels that were coded as 'Yes - Rezoning Program' for RHNA Eligibility AND were flagged as not RHNA eligible for the model runs done previously 'Filter 2b'. Confirmed they should all remain RHNA eligible with the exception of 2.4/27/21 - Updated status for additional sites during week of 4/19, and on 4/27. Updated 107 parcels to the RHNA Eligibility Status of "Yes - Moderate Income"4/28/21 - Updated 310 parcels to the RHNA Eligibility Status of "Yes - Above Moderate Income"5/4/21 - Updated RHNA Eligibility Status to "No" since it overlapped with ASI.5/5/21 - Updated RHNA Eligibility Status to "Yes - Moderate" and "Yes - Above Moderate", and also removed two parcels that were also Historical Sites, per QC requests from Housing Section. SUMMARIZED THIS DATA AS A TABLE TO RESPOND TO SUPERVISORIAL DISTRICT 1.5/11/21 - Updated schema:RHNA Eligible now just 'Yes' or 'No' (Rather than 'Yes + Inc level')Added fields for various income levels - to match what is in ASI layerKept 'Realistic Capacity' for the 'Non RHNA-Eligible' sites (these aren't broken down by Income level)Calculated 'Very Low' and 'Low' income levels to be 50/50 of the 'Realistic Capacity' (rounded up for VL, rounded down for L)5/12/21 - PREP FOR HCD TEMPLATE - Added field for Vacant / Non Vacant uses per the Assessor Use Code (ends in 'V' or 'X')6/2/21 - Updated one parcel that had 'Prop min density' blank. Trimmed Site Address field of trailing spaces.6/10/21 - ARCHIVED - exported to an archived layer as this is a snapshot in time from when it was sent to HCD on 6/7/21.6/28/21 - Exported the features (essentially copied the layer) as there was some strange behavior of attributes not selecting and joins not fully working - suspected that the data was slightly corrupted somehow, however a simple copy seemed to fix the issue. Modified several parcels per QC done by Housing Section in June, added some parcels as well.6/29/21 - Added sites per June QC and updated relevant fields - flagged those that need to have units recalculated in a temporary field.6/30/21 - Updated units for added sites. Flagged several parcels in FF and WALP for removal. RENAMED 'RHNA STATUS' CATEGORIES FROM "N/A" TO "REMOVE" (to be consistent with the ASI)7/1/21 - Removed or otherwise modified several parcels due to overlapping with new bldg permits / entitlements.7/6/21 - Updated based on refinements identified by the Housing Section on 7/1/21: Adding back Central Ave in Florence-Firestone and adding/removing sites in La Crescenta-Montrose, and updating some minor things (not related to units).7/7/21 - Checked math on all unit calculations using formulas in Excel - a small number of them were off by 1 unit (probably due to not rounding), and they were fixed. Added 'Planning Areas' field.7/20/21 - Incorporated changes following additional QC and zoning Inconsistencies identified in South and West Whittier following significant shortfall with the removal of Northlake Specific Plan:Added Income Category field and calculated valuesRemoved one parcel that overlapped with an existing Mobile Home ParkRemoved 1,122 polygons flagged as "REMOVED" that overlapped with the South and West Whittier changes (select by location against "Zoning_Inconsistancy_Parcels_SDs_345" layer.Added parcels for Above Moderate RHNA units from "Zoning_Inconsistancy_Parcels_SDs_345" layer and filled in fields as necessary.Added Adj Cluster IDs for 8 of the newly added parcels (adding to the next highest available ID in the whole dataset)7/24/21 - Coded all empty Site Addresses with nearest Street Intersection. See analysis fields starting with "Street_Intersection" in 'Housing_Element_2021_2029' File GDB.7/25/21 - Added ZIP Codes for those that were blank.7/26/21 - re-worded the metadata description (above UPDATE HISTORY)7/30/21 - 7/31/21 - Added Proposed Florence-Firestone TOD parcels.9/13/21 - Slight update to calculate the 'Income Category' field for those with RHNA Eligible = NO - to make those NULL.11/16/21 - Removed Density Bonus from the bottom 15% of sites (71 sites out of the 468) per HCD's comment. For the sites that fell below the 16 units, they were moved to the Above Moderate income category to receive RHNA credit.12/30/21 - Added updated Supervisorial District ID from 2021 update.2/17/22 - Cleared out Realistic Capacity and all income level units for "RHNA Eligible = NO". This is a clean-up measure. Kept all unit calculations for these up until the 'Realistic Capacity' field.3/15/22 & 3/16/22 - Re-allocation of income-level units per recommendation by HCD. New fields were added to indicate the original income level unit numbers (as submitted to the state following the Board Hearing), and an HCD Comments field was added to flag these parcels that changed, and the transfer of units between the income categories.SLA - move units from VL/L to Mod. Added 2,238 to Mod and subtracted 1,144 from VL, and 1,094 Low Income (lots with sf < 5,950). Checked if there were any project-specific allocations to income levels and there were none.SLA - move units from L to AM. Remaining Low Income after Step 1 is 5,819, so take approximately half of that. Selecting from pool outside of those selected in STEP 1, and lot size < 10,000sf, moved 2,566 from Low Income to Above Moderate. Checked if there were any project-specific allocations to income levels and there were none. OTHER SUBMARKET - move units from L to AM. Moved 10,031 units from L to AM (lots < 90,000 sf). NOTE, that this was most of
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TwitterComprehensive demographic dataset for Palms, Los Angeles, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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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 median household income in Los Angeles County. It can be utilized to understand the trend in median household income and to analyze the income distribution in Los Angeles County by household type, size, and across various income brackets.
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).
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/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of Los Angeles County median household income. You can refer the same here
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TwitterComprehensive demographic dataset for Silver Lake, Los Angeles, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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TwitterComprehensive demographic dataset for Highland Park, Los Angeles, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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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 presents the the household distribution across 16 income brackets among four distinct age groups in Los Angeles County: 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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-Year Estimates.
Income brackets:
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 Los Angeles County median household income 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/
License information was derived automatically
Context
The dataset presents a breakdown of households across various income brackets in Los Angeles County, CA, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Los Angeles County, CA reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Los Angeles County households based on income levels.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Income Levels:
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 Los Angeles County median household income. You can refer the same here
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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 presents the distribution of median household income among distinct age brackets of householders in Los Angeles. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Los Angeles. 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 2023
In terms of income distribution across age cohorts, in Los Angeles, householders within the 25 to 44 years age group have the highest median household income at $89,991, followed by those in the 45 to 64 years age group with an income of $87,355. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $56,354. Notably, householders within the under 25 years age group, had the lowest median household income at $46,629.
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.
Age groups classifications 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 Los Angeles median household income by age. You can refer the same here