Value Notes
Methodology differences may exist between data sources, and so estimates from different sources are not comparable.
Some estimates presented here come from sample data, and thus have sampling errors that may render some apparent differences between geographies statistically indistinguishable. Click the Quick Info icon to the left of each row in TABLE view to learn about sampling error.
The vintage year (e.g., V2023) refers to the final year of the series (2020 thru 2023). Different vintage years of estimates are not comparable.
In Vintage 2022, as a result of the formal request from the state, Connecticut transitioned from eight counties to nine planning regions. For more details, please see the Vintage 2022 release notes available here: Release Notes.
Users should exercise caution when comparing 2018-2022 ACS 5-year estimates to other ACS estimates. For more information, please visit the 2022 5-year ACS Comparison Guidance page.
Fact Notes
- (a)Includes persons reporting only one race
- (c)Economic Census - Puerto Rico data are not comparable to U.S. Economic Census data
- (b)Hispanics may be of any race, so also are included in applicable race categories
Value Flags
- -Either no or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest or upper interval of an open ended distribution.
- FFewer than 25 firms
- DSuppressed to avoid disclosure of confidential information
- NData for this geographic area cannot be displayed because the number of sample cases is too small.
- FNFootnote on this item in place of data
- XNot applicable
- SSuppressed; does not meet publication standards
- NANot available
- ZValue greater than zero but less than half unit of measure shown
QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.
I am an expert in data analysis and statistical methodologies, with a proven track record of delving into complex datasets to extract meaningful insights. My expertise extends to various sources, including Population Estimates, American Community Survey (ACS), Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, and Building Permits. I have a deep understanding of the nuances and challenges associated with each of these datasets, enabling me to navigate through potential pitfalls in data interpretation.
Now, let's break down the key concepts mentioned in the provided article:
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Methodology Differences: The article emphasizes the existence of methodology differences among data sources, cautioning that estimates from different sources may not be comparable. This is a crucial point to consider when analyzing data, as variations in methodology can lead to discrepancies in results. Researchers and analysts must be aware of these differences to make informed comparisons and draw accurate conclusions.
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Sampling Errors: The article acknowledges that some estimates are based on sample data, introducing the possibility of sampling errors. This is a common challenge in statistical analysis, where the characteristics of a sample may not perfectly represent the entire population. Understanding and quantifying sampling errors is essential for interpreting the reliability of the presented estimates.
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Vintage Year: The vintage year refers to the final year of the series (e.g., V2023). The article notes that different vintage years of estimates are not comparable. This emphasizes the importance of considering the temporal aspect when analyzing data, as changes in methodologies or adjustments over time can impact the comparability of estimates.
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Geographic Changes: Mention is made of Connecticut transitioning from eight counties to nine planning regions in Vintage 2022. This highlights the dynamic nature of geographic boundaries and the need to account for such changes when conducting analyses over different time periods.
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Comparison Caution: Users are cautioned when comparing 2018-2022 ACS 5-year estimates to other ACS estimates. This underlines the importance of being aware of specific guidance and recommendations provided by data sources to ensure accurate and meaningful comparisons.
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Data Flags and Footnotes: The article includes various flags (e.g., Value Flags, F, D, N, FNFootnote, X, S, NA, Z) to indicate specific conditions or issues associated with the data. These flags serve as important indicators for analysts to understand limitations, suppressed data, or conditions that may affect the interpretation of the presented information.
In summary, a comprehensive understanding of these concepts is crucial for anyone working with the provided datasets. Being aware of methodology differences, potential errors, temporal considerations, geographic changes, and specific data flags allows for a more accurate and informed analysis of the information presented in the article.
