Question 1

What is Expenditures: Apparel, Girls, 2 to 15 by Deciles of Income Before Taxes: Ninth 10 Percent (81st to 90th Percentile)?

Accepted Answer

Income before taxes refers to the total money earnings and selected money receipts during the 12 months prior to the interview date.

For more details about the data or the survey, visit the FAQs (https://www.bls.gov/cex/csxfaqs.htm).

Question 2

Where does Expenditures: Apparel, Girls, 2 to 15 by Deciles of Income Before Taxes: Ninth 10 Percent (81st to 90th Percentile) data come from?

Accepted Answer

This dataset is sourced from FRED (FRED), a trusted provider of economic and financial data. DataSetIQ aggregates and standardizes this data for easy access and analysis.

Question 3

How often is Expenditures: Apparel, Girls, 2 to 15 by Deciles of Income Before Taxes: Ninth 10 Percent (81st to 90th Percentile) updated?

Accepted Answer

This dataset is updated on a annual basis by FRED. DataSetIQ syncs the latest data regularly to ensure you have access to the most current information.

Question 4

What time period does Expenditures: Apparel, Girls, 2 to 15 by Deciles of Income Before Taxes: Ninth 10 Percent (81st to 90th Percentile) cover?

Accepted Answer

This dataset covers the period from 2014 to 2024. The temporal coverage allows for historical analysis and trend identification over 10 years of data.

Question 5

What units is Expenditures: Apparel, Girls, 2 to 15 by Deciles of Income Before Taxes: Ninth 10 Percent (81st to 90th Percentile) measured in?

Accepted Answer

The data in this dataset is measured in lin. Understanding the measurement units is important for accurate interpretation and comparison with other datasets.

Question 6

What is the data quality score for Expenditures: Apparel, Girls, 2 to 15 by Deciles of Income Before Taxes: Ninth 10 Percent (81st to 90th Percentile)?

Accepted Answer

Expenditures: Apparel, Girls, 2 to 15 by Deciles of Income Before Taxes: Ninth 10 Percent (81st to 90th Percentile) has a DataSetIQ score of 78/100. This score measures data quality based on completeness, timeliness, consistency, and coverage metrics.

Expenditures: Apparel, Girls, 2 to 15 by Deciles of Income Before Taxes: Ninth 10 Percent (81st to 90th Percentile)

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