Question 1

What is Infra-Annual Labor Statistics: Persons Outside the Labor Force Total: 15 Years or over for United States?

Accepted Answer

OECD Data Filters: 
REF_AREA: USA
MEASURE: OLF
UNIT_MEASURE: PS
TRANSFORMATION: _Z
ADJUSTMENT: Y
SEX: _T
AGE: Y_GE15
ACTIVITY: _Z
FREQ: Q

All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (a...

Question 2

Where does Infra-Annual Labor Statistics: Persons Outside the Labor Force Total: 15 Years or over for United States 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 Infra-Annual Labor Statistics: Persons Outside the Labor Force Total: 15 Years or over for United States updated?

Accepted Answer

This dataset is updated on a quarterly 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 Infra-Annual Labor Statistics: Persons Outside the Labor Force Total: 15 Years or over for United States cover?

Accepted Answer

This dataset covers the period from 1975 to 2025. The temporal coverage allows for historical analysis and trend identification over 50 years of data.

Question 5

What units is Infra-Annual Labor Statistics: Persons Outside the Labor Force Total: 15 Years or over for United States 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 Infra-Annual Labor Statistics: Persons Outside the Labor Force Total: 15 Years or over for United States?

Accepted Answer

Infra-Annual Labor Statistics: Persons Outside the Labor Force Total: 15 Years or over for United States has a DataSetIQ score of 81/100. This score measures data quality based on completeness, timeliness, consistency, and coverage metrics.

Infra-Annual Labor Statistics: Persons Outside the Labor Force Total: 15 Years or over for United States

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