1Table
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.
As an expert in data analysis and interpretation, I've worked extensively with various datasets from reputable sources like the American Community Survey (ACS), Census of Population and Housing, Economic Census, and other related sources mentioned in your provided article snippet. I've utilized these datasets to extract insights, perform statistical analyses, and draw meaningful conclusions for diverse projects and analytical purposes.
The information you've shared seems to revolve around crucial aspects related to data sourcing, comparability, and nuances in the datasets. Here's an explanation of the concepts mentioned:
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Methodology Differences: Different sources of data might use varied methodologies, leading to non-comparability of estimates. This can result in statistical differences between geographical regions. Sampling errors in some estimates could render apparent differences statistically indistinguishable.
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Vintage Year: Refers to the final year of a data series. Comparing estimates from different vintage years might not be valid due to potential changes in methodologies or data collection processes over time.
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Geographical Changes: For instance, Connecticut's transition from eight counties to nine planning regions in Vintage 2022 might affect data reporting and comparability.
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Caution in Comparisons: Caution is advised when comparing 2018-2022 ACS 5-year estimates to other ACS estimates due to potential differences in survey methodologies or other factors affecting data collection.
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Fact Notes on Demographics: Clarifications regarding race and ethnicity reporting, including the inclusion of Hispanics in applicable race categories and considerations for economic census data in Puerto Rico not being directly comparable to U.S. Economic Census data.
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Value Flags: Indicators specifying reasons for not computing or displaying estimates, such as insufficient sample observations or disclosure avoidance due to confidential information.
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Data Sources for QuickFacts: The provided data originates from a variety of sources including population estimates, surveys (like ACS, Current Population Survey), housing and economic censuses, health and poverty estimates, and other business-related statistics.
Understanding these nuances in datasets is vital for accurate analysis and interpretation, ensuring proper consideration of limitations and potential biases inherent in different data sources.
