In 2022, around 20.3 percent of teenagers between ages 16 and 19 were employees while enrolled at school in the United States. This is an increase from the previous year, when 19.4 percent of teenagers were working while in school.

An online survey conducted in 2019 asked teens in the United States and the United Kingdom how Instagram had affected the way they feel about themselves and their mental health. Overall, 41 percent of U.S. teens and 46 percent of U.K. teens said that the social media platform had no effect on they way they felt about themselves. However, between twelve and 23 percent of teens said that the platform made them feel somewhat worse and between two and three percent of respondents stated that it had made them feel much worse.

This statistic shows the share of substance abusers among 15/16-year-olds in Iceland in selected years from 1998 to 2017, by substance. In 2017, five percent of the surveyed Icelandic teenagers ages 15 and 16 years were drunk in the past 30 days. Compared to the year 1998, this was a decrease of 37 percent.

An online survey conducted in 2019 asked teens in the United States and the United Kingdom about negative things they had felt in the last month that had had started as a result of using Instagram. Overall, 51 percent of U.S. teens and 39 percent of U.K. teens stated that wanting to create the perfect image had started on the social media platform. Over 40 percent of all teens that participated stated that the platform resulted in them not feeling attractive and feeling that they did not have enough money. In addition, seven to nine percent of teens reported that use of the platform evoked feelings of wanting to self-harm.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Olds: 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 10(21.74%) households where the householder is under 25 years old, 9(19.57%) households with a householder aged between 25 and 44 years, 18(39.13%) households with a householder aged between 45 and 64 years, and 9(19.57%) 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 Olds, 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 Olds median household income by age. You can refer the same here

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