This dataset tracks annual diversity score from 1998 to 2023 for Oregon Department Of Education School District vs. Oregon

Summary: Exploring Oregon's Heritage Resources in Latinx CommunitiesStorymap metadata page: URL forthcoming Possible K-12 Next Generation Science standards addressed:Grade level(s) 5: Standard 5-ESS3-1 - Earth and Human Activity - Obtain and combine information about ways individual communities use science ideas to protect the Earth’s resources and environment.Grade level(s) 9-12: Standard HS-LS2-1 - Ecosystems: Interactions, Energy, and Dynamics - Use mathematical and/or computational representations to support explanations of factors that affect carrying capacity of ecosystems at different scalesMost frequently used words:historiccommunitiesoregonlatinxcommunityApproximate Flesch-Kincaid reading grade level: 10.2. The FK reading grade level should be considered carefully against the grade level(s) in the NGSS content standards above.

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 Oregon City. The dataset can be utilized to gain insights into gender-based income distribution within the Oregon City population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Oregon City, among individuals aged 15 years and older with income, there were 14,204 men and 12,813 women in the workforce. Among them, 8,377 men were engaged in full-time, year-round employment, while 5,671 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 4.79% fell within the income range of under $24,999, while 3.60% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 29.38% of men in full-time roles earned incomes exceeding $100,000, while 20.81% 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/.

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This dataset is a part of the main dataset for Oregon City median household income by race. You can refer the same here

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