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Census Bureau State Retail Sales Data
Retail & Consumer Behavior
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About
The Monthly State Retail Sales (MSRS) is a new experimental data product from the US Census Bureau, offering modelled state-level retail sales. This blended dataset integrates Monthly Retail Trade Survey data, administrative data, and third-party information. It provides year-over-year percentage changes for total retail sales, excluding non-store retailers, across 11 specific retail North American Industry Classification System (NAICS) subsectors. Data is available by state and NAICS codes, commencing from January 2019, through to 2022. This dataset is valuable for analysing retail economic performance and trends at a sub-national level.
Columns
- fips: A 2-digit State Federal Information Processing Standards (FIPS) code, where "00" represents the United States.
- state_abbr: The 2-character official U.S. Postal Service Code for states, with "USA" assigned to the United States.
- naics: A three-digit numeric NAICS value corresponding to a retail subsector code.
- subsector: The specific retail subsector name.
- year: The year of the data.
- month: The month of the data.
- change_yoy: The numeric year-over-year percentage change in retail sales value.
- change_yoy_se: The numeric standard error associated with the year-over-year percentage change in retail sales value.
- coverage_code: Character values assigned based on the non-imputed coverage of the data.
- coverage: A definition of the given coverage codes, explaining the nature of the data's non-imputed representation.
Distribution
The dataset is an experimental blended data product, typically available in formats such as CSV. Specific numbers for rows or records are not detailed in the provided information, but it covers monthly data from 2019 to 2022. The data structure supports time-series analysis of state and subsector retail sales.
Usage
This dataset is ideal for economic analysis, market research, and policy development. It can be used to identify retail sales trends at state and subsector levels, assess year-over-year growth, and inform business strategies or government initiatives related to economic development. Researchers can also leverage this data to study regional economic patterns and the impact of various factors on retail performance.
Coverage
The dataset's geographic scope is the United States. It covers the time period from 2019 to 2022, providing monthly data. The scope includes total retail sales (excluding non-store retailers) and data for 11 specific retail NAICS subsectors, broken down by state. The dataset includes
coverage_code and coverage variables, which detail the non-imputed availability and representativeness of the data, such as instances where non-imputed coverage is less than 10% of the state/NAICS total.License
CC0: Public Domain
Who Can Use It
- Economists and financial analysts to track and forecast retail sector performance.
- Market researchers for understanding regional market dynamics and consumer spending habits.
- Government agencies for economic policy formulation and regional planning.
- Businesses to inform site selection, inventory management, and marketing strategies.
- Academics and researchers for studying economic geography, retail trends, and the impact of economic events.
Dataset Name Suggestions
- US State Monthly Retail Sales (2019-2022)
- Census Bureau State Retail Sales Data
- Monthly US Retail Subsector Performance
- State-Level Retail Sales Trends (2019-2022)
- US Retail Year-over-Year Sales by State
Attributes
Original Data Source: Census Bureau State Retail Sales Data
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