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This dataset provides annual measures of the number and density of eating and drinking places — including bars and night clubs, retail bakeries, coffee shops, fast food restaurants, delis, pizza restaurants, and sit-down restaurants — per census tract and ZIP Code Tabulation Area (ZCTA) across the United States from 1990 through 2022. Data are derived from the National Establishment Time Series (NETS) database and are available for four geographies: Census Tract 2010, Census Tract 2020, ZCTA 2010, and ZCTA 2020.

This dataset contains measures of the number and density of retail establishments per United States Census Tract or ZIP Code Tabulation Area (ZCTA) from 1990 through 2022. Retail establishments are classified into eight categories based on Standard Industrial Classification (SIC) codes: clothing and shoe stores, furniture and appliance stores, music stores, hardware and garden stores, department/variety/general merchandise stores, used merchandise stores, pet stores and pet supplies, and shoe repair shops. The dataset is derived from the National Establishment Time Series (NETS) database and is available in four geographic versions: Census Tract 2010, Census Tract 2020, ZCTA 2010, and ZCTA 2020.

This dataset provides annual measures of the number and density of liquor, tobacco, cannabis, vape, and convenience stores per census tract and ZIP Code Tabulation Area (ZCTA) across the United States from 1990 through 2022. Data are derived from the National Establishment Time Series (NETS) database and are available for four geographies: Census Tract 2010, Census Tract 2020, ZCTA 2010, and ZCTA 2020.

This dataset provides annual measures of the number and density of recreational services — including fitness centers, golf courses, skating rinks and pools, membership sports clubs, and specialized recreational establishments — per census tract and ZIP Code Tabulation Area (ZCTA) across the United States from 1990 through 2022. Data are derived from the National Establishment Time Series (NETS) database and are available for four geographies: Census Tract 2010, Census Tract 2020, ZCTA 2010, and ZCTA 2020.

This dataset provides annual measures of the number and density of grocery and food stores — including grocery stores, supermarkets, meat and fish markets, fruit and vegetable markets, warehouse clubs selling food, and total food stores — per census tract and ZIP Code Tabulation Area (ZCTA) across the United States from 1990 through 2022. Data are derived from the National Establishment Time Series (NETS) database and are available for four geographies: Census Tract 2010, Census Tract 2020, ZCTA 2010, and ZCTA 2020.

The Multicity Study of the Impact of Taxes on Sugar-Sweetened Beverages was a multi-year study intended to provide comprehensive information about the impacts of sugar-sweetened beverage taxes on retail prices, purchases, and consumption. The study was conducted in two cities that recently implemented an excise tax on sugar-sweetened beverages: Philadelphia, PA and Oakland, CA.

The study consists of six datasets, with three datasets covering Philadelphia and three covering Oakland. The store observation data contain price information for sodas, juices, and other beverages. The purchase datasets contain information from survey questions fielded at stores, including basic demographic information (race and ethnicity, gender, income), the number of people in the participant's household, and how often they shop for beverages at that store and others. The household datasets contain information from survey questions fielded during the household beverages consumption survey; it includes demographic information and beverage consumption information for a household adult and a household child.

The study also included an analysis of strategic responses to the taxes, including cross-border shopping by consumers, and retailers changing the availability of various beverages.

Since the passing of the 1953 Title 13 U.S. Code, Congress gave the Census Bureau authority to conduct an economic census every 5 years on years that end in a 2 or 7. This code mandated that all economic firms must provide requested information, and it required the Bureau to maintain the confidentiality of the individual records. Respondents are asked to provide a range of operational and performance data for their companies.

This collection is compiled from publicly available U.S. Census Bureau data and publications. This data comes from a mix of digitized paper documents, CD-ROMs/Floppy discs, now-discontinued FTP servers, and the US Census Bureau website. However, this data is not a complete sample of the US economic census. This collection has variables related to the type of establishment, year, business sector, payroll, number of employees, number of firms, and shipments. Some inquiries apply to some industries but not others, such as materials consumed and franchising

The data pertaining to this study was the result of an exhaustive investigation into the nature of the firms composing the Egyptian garment industry. The data capture various characteristics of the firms relating to each one's level and order of integration into the production of fabrics and garments and into retail. Part 1 of the study contains the data obtained from the initial screening interviews administered to each firm by phone to determine the prevalence and nature of integration present in its operations. This information was used to determine which one of the four study questionnaires would be administered to each firm during the final interview. Each questionnaire produced four datasets containing (in this order):

• general questions
• contracts
• lock in, switching costs, and temporal specificity
• product information.

Questionnaire 1 (Parts 2-5) was administered to the firms for which the following four scenarios was true: (1) garment production and retail occurred at the same time at the establishment, and both garment production and fabric production took place at the same time at the establishment, (2) garment production and retail occurred simultaneously at the establishment, but fabrics were not produced in-house, (3) garment production occurred before retail while garment and fabric production were simultaneous at the establishment, and (4) garment and fabric production that occurred simultaneously at the establishment but retail operations not performed in-house (i.e. did not own or rent its own retail stores). Questionnaire 2 (Parts 6-9) was completed by the firms for which the following two scenarios were true: (1) garment production was subsequent to fabric production, and garment production was started prior to retail, or (2) garment production was started prior to retail, and the firm did not produce any of its own fabrics. Questionnaire 3 (Parts 10-13) was given to the firms for which the following three scenarios were true: (1) garment production began simultaneously with fabric production but not at the onset, and for which retail started subsequent to both garment and fabric production, (2) both fabric production and retail had started subsequent to garment production, and (3) garment production started before fabric production, and the firm did not perform in-house retail operations. Questionnaire 4 (Parts 14-17) was administered to firms for which the following two scenarios were true: (1) garment production was subsequent to fabric production, but in-house retail operations were not performed, or (2) there was no fabric production or in-house retail operations. Each of the four questionnaires contained an identical screening section (in addition to the screening information found in Part 1) in order to ensure that the appropriate questionnaire was administered during the interview. Specific questions regarding each firm's management, sister companies, products, operations, and other firm-level characteristics varied depending on the questionnaire. However, sections eight and nine, dealing with fabrics and fabric suppliers, were identical across all questionnaires.