About this dataset

Context

The dataset presents median household incomes for various household sizes in Brea, CA, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, all of the household sizes were found in Brea. Across the different household sizes in Brea the mean income is $138,267, and the standard deviation is $38,195. The coefficient of variation (CV) is 27.62%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $62,922. It then further increased to $169,526 for 7-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/brea-ca-median-household-income-by-household-size.jpeg" alt="Brea, CA median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 Brea median household income. You can refer the same here

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

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 Brea. 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 Brea, the median income for all workers aged 15 years and older, regardless of work hours, was $66,853 for males and $44,413 for females.

These income figures highlight a substantial gender-based income gap in Brea. Women, regardless of work hours, earn 66 cents for each dollar earned by men. This significant gender pay gap, approximately 34%, underscores concerning gender-based income inequality in the city of Brea.

- Full-time workers, aged 15 years and older: In Brea, among full-time, year-round workers aged 15 years and older, males earned a median income of $93,975, while females earned $76,985, leading to a 18% gender pay gap among full-time workers. This illustrates that women earn 82 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 Brea.

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

Comprehensive demographic dataset for Brea, CA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Brea. The dataset can be utilized to gain insights into gender-based income distribution within the Brea population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Brea, among individuals aged 15 years and older with income, there were 16,068 men and 16,741 women in the workforce. Among them, 9,609 men were engaged in full-time, year-round employment, while 7,593 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 5.41% fell within the income range of under $24,999, while 3.87% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 44.56% of men in full-time roles earned incomes exceeding $100,000, while 35.12% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

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:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 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 $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

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.

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

This dataset contains a cleaned and enhanced version of publicly available UK housing transaction data, sourced from HM Land Registry. It covers housing sales across England, Wales, Scotland, and Northern Ireland from 2000 to 2023.

The dataset is preprocessed for immediate use in machine learning, statistical analysis, and data storytelling tasks. Here’s your UK Housing Dataset Column Descriptor, followed by where and how to apply it in Hugging Face or Kaggle:

Column Descriptions (for cleaned_uk_housing_prices.csv)

Column Name	Type	Description
transaction_id	String	Unique identifier for each property sale
date	Date	Date when the transaction was recorded
price	Integer	Final sale price of the property in GBP
property_type	String	Type of property: Detached, Semi-Detached, Terraced, or Flat
old_or_new	String	Indicates if the property is newly built (New) or existing (Old)
duration	String	Type of tenure: Freehold or Leasehold
town_city	String	Town or city where the property is located
postcode	String	Full UK postcode of the property
region	String	Regional area (e.g. London, East Midlands, Scotland)
latitude	Float	Latitude coordinate for mapping (optional)
longitude	Float	Longitude coordinate for mapping (optional)
year	Integer	Year extracted from the transaction date
month	Integer	Month extracted from the transaction date

| price_per_sqm | Float | Estimated price per square meter (if available) | | log_price | Float | Log-transformed sale price (useful for ML models) |

The cause, or causes, of the Pleistocene megafaunal extinctions have been difficult to establish, in part because poor spatiotemporal resolution in the fossil record prevents alignment of species disappearances with archeological and environmental datasets. We obtained 172 new radiocarbon dates on megafauna from Rancho La Brea, USA, spanning 15.6 to 10 thousand calendar years before present (ka). Seven species of extinct megafauna disappeared by 13 ka, before the onset of the Younger Dryas. Comparison with high-resolution regional datasets reveals these disappearances coincided with an ecological state shift that followed aridification and vegetation changes during the Bølling-Allerød. Time series modeling implicates large-scale fires caused by humans as the primary cause of the extirpations; the catalyst of this state shift appears to have been mounting human impacts in a drying, warming, and increasingly fire-prone ecosystem.