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The American Time Use Survey (ATUS) collects information on how people living in the United States spend their time. Data collected in this study measured the amount of time that people spent doing various activities in 2008, such as paid work, child care, religious activities, volunteering, and socializing. Respondents were interviewed once about how they spent their time on the previous day including where they were and whom they were with. Part 1, Respondent and Activity Summary File, contains demographic information about respondents and a summary of the total amount of time they spent doing each activity that day. Part 2, Roster File, contains information about household members and non-household children under the age of 18. Part 3, Activity File, includes additional information on activities in which respondents participated, including the location of each activity and the total time spent on secondary child care. Part 4, Who File, includes data on who was present during each activity. Part 5, ATUS-CPS 2008 File, contains demographic and occupational data on respondents and members of their household collected during their participation in the Current Population Survey (CPS). Parts 6-9 contain supplemental data files that can be used for further analysis of the data. Part 6, Case History File, contains information about the interview process. Part 7, Call History File, gives information about each call attempt. Part 8, Trips File, provides information about the number, duration, and purpose of overnight trips away from home for two or more nights in a row in a given reference month. Part 9, ATUS 2008 Replicate Weights File, contains base weights, replicate base weights, and replicate final weights for each case that was selected to be interviewed for the ATUS. The Eating and Health (EH) Module collected data to analyze (1) the relationships among time use patterns and eating patterns, nutrition, and obesity, and (2) food and nutrition assistance programs, and grocery shopping and meal preparation. The Eating and Health Module contained four files, parts 10-13. Part 10, EH Respondent File, contains information about (1) EH respondents, including variables about grocery shopping and meal preparation, food stamp participation, general health, height, and weight, and (2) household income. Part 11, EH Activity File, contains information on respondents' secondary eating and secondary drinking of beverages. Part 12, EH Child File, contains information on children (under age 19) in respondent households who ate a breakfast or lunch in the previous week that was prepared and served at a school, day care, Head Start center, or summer day program. Part 13, EH Replicate Weights File, contains the 160 replicate final weights that can be used to calculate standard errors and variances for EH Module estimates. Note that the EH Replicate Weights file contains records only for those cases that completed EH Module interviews. Demographic variables include sex, age, race, ethnicity, marital status, education level, income, employment status, occupation, citizenship status, country of origin, labor union membership of household members, and household composition.

The Food and Fitness Survey is part of the larger Bridging the Gap (BTG) research program, which is a research initiative funded by the Robert Wood Johnson Foundation. The primary goals of the Food and Fitness survey project were to obtain nationally representative information on school practices, and to obtain information about the association between district-level wellness policies and practices in those schools. Food and Fitness involved annual surveys of school-level respondents at elementary schools from the 2006-07 to the 2012-13 school years. This study contains data from these surveys for public and private elementary schools from the 2006-07 to the 2012-13 school years. Topics of the surveys include school characteristics, school meal options and prices, food advertisements in schools, food practices in classrooms and school functions, meal times during the day, physical education facilities and curriculum, methods of transportation to and from school, school wellness policies, school beverage guidelines, the "Nutritional Guidelines for Competitive Foods", school vending machines, and a la carte as well as school store food and beverage offerings.

The purpose of this project was to measure and estimate the distribution of income in both rural and urban areas of the People's Republic of China. The principal investigators based their definition of income on cash payments and on a broad range of additional components: payments in kind valued at market prices, agricultural output produced for self-consumption valued at market prices, the value of ration coupons and other direct subsidies, and the imputed value of housing. The rural component of this collection consists of two data files, one in which the individual is the unit of analysis and a second in which the household is the unit of analysis. Individual rural respondents reported on their employment status, level of education, Communist Party membership, type of employer (e.g., public, private, or foreign), type of economic sector in which employed, occupation, whether they held a second job, retirement status, monthly pension, monthly wage, and other sources of income. Demographic variables include relationship to householder, gender, age, and student status. Rural households reported extensively on the character of the household and residence. Information was elicited on type of terrain surrounding the house, geographic position, type of house, and availability of electricity. Also reported were sources of household income (e.g., farming, industry, government, rents, and interest), taxes paid, value of farm, total amount and type of cultivated land, financial assets and debts, quantity and value of various crops (e.g., grains, cotton, flax, sugar, tobacco, fruits and vegetables, tea, seeds, nuts, lumber, livestock and poultry, eggs, fish and shrimp, wool, honey, and silkworm cocoons), amount of grain purchased or provided by a collective, use of chemical fertilizers, gasoline, and oil, quantity and value of agricultural machinery, and all household expenditures (e.g., food, fuel, medicine, education, transportation, and electricity). The urban component of this collection also consists of two data files, one in which the individual is the unit of analysis and a second in which the household is the unit of analysis. Individual urban respondents reported on their economic status within the household, Communist Party membership, sex, age, nature of employment, and relationship to the household head. Information was collected on all types and sources of income from each member of the household whether working, nonworking, or retired, all revenue received by owners of private or individual enterprises, and all in-kind payments (e.g., food and durable and non-durable goods). Urban households reported total income (including salaries, interest on savings and bonds, dividends, rent, leases, alimony, gifts, and boarding fees), all types and values of food rations received, and total debt. Information was also gathered on household accommodations and living conditions, including number of rooms, total living area in square meters, availability and cost of running water, sanitary facilities, heating and air-conditioning equipment, kitchen availability, location of residence, ownership of home, and availability of electricity and telephone. Households reported on all of their expenditures including amounts spent on food items such as wheat, rice, edible oils, pork, beef and mutton, poultry, fish and seafood, sugar, and vegetables by means of both coupons in state-owned stores and at free market prices. Information was also collected o,n rents paid by the households, fuel available, type of transportation used, and availability and use of medical and child care. The Chinese Household Income Project collected data in 1988, 1995, 2002, and 2007. ICPSR holds data from the first three collections, and information about these can be found on the series description page. Data collected in 2007 are available through the China Institute for Income Distribution.

This data collection is part of the 1985 Continuing Survey of Food Intakes by Individuals (CSFII) and provides information on 1-day dietary intakes of men 19 to 50 years of age living in the United States in 1985. Two separate population groups of men were surveyed: (1) a sample of men of all incomes drawn from all private households, and (2) a smaller sample of men drawn from households with reported incomes at or below 130 percent of the poverty guidelines. Part 1, Respondent Demographics and Nutrient Intake File, contains demographic information on each respondent in the household selected to be interviewed, as well as the respondent's use of special diets, vitamin and mineral supplements, and a summary of the nutrient content of the foods eaten by that individual. Part 2, Household File, contains information on basic characteristics of the respondent's household, including participation in food welfare programs. Part 3, Detailed Food Intake File, includes information on the type and amount of each food item eaten at home or away, the time of day the food was eaten, and the use of salt and fat in the food preparation. A Food Instruction Booklet, included with the data collection instrument, was used to help respondents describe foods and amounts eaten. Demographic information on respondents include age, race, education level, employment status, occupation, height, weight, and health status. Household characteristics include the age, education level, occupation, and employment status of the male head of the household, the sex and age of household members, household income, tenancy status of the residence, and type of residential area (e.g., urban or rural).

The Dominican Republic Labor Market Survey includes information on housing characteristics and person-records for a 1980 national and 1983 urban sample. The original in-person survey was taken on household enumeration forms, with a sample included in the documentation. Data files contain 13,283 person-records in the order of the original questionnaire (provided in documentation). A household unique number can be matched to the person-records, allowing a variety of analyses. For more information on the data or for any questions about the data, please contact Pamela Paxton at ppaxton@prc.utexas.edu.

The Evaluation of the Balance Calories Initiative collection includes datasets consisting of intercept interviews of adults and adolescents regarding their beverage consumption. This data was collected as part of an evaluation of the Balance Calories Initiative (BCI) campaign. The BCI is a campaign launched by the top three American beverage companies (Coca-Cola, Dr Pepper, and Pepsi) to help Americans reduce their consumption of sugar from beverages, especially through increasing interest in low- and no-calorie beverages. The BCI began in 2015, and was introduced to the Mississippi Delta region and Montgomery, Alabama in 2016. Researchers conducted point-of-purchase interviews in the South Delta and Montgomery communities to study the BCI campaign progress in predominantly low-income neighborhoods. Two non-BCI comparison communities matched by population and socio-demographic composition in the region, the North Delta of Mississippi and Birmingham, AL, were also included. Participants were recruited outside of retail food outlets, primarily grocery stores and big box stores, but also restaurants and convenience stores. Demographic information in this collection include sex, age, race, education level, employment status, marital status, and categorical income.

The current collection includes data collected as part of a planned evaluation of New York City's proposed soda portion cap policy. Baseline data collection was conducted in three waves. Wave 1 began in early January 2013 and ended in April 2013; Wave 2 was conducted from August to November 2013; and Wave 3 was conducted between January and June 2014. Data was collected at point-of-purchase on the availability, sizing, promotion, and cost of beverages in the fast food restaurants of New York City, New York and of Newark and Jersey City in New Jersey. This data was also collected in these areas for their nearest convenience stores/bodegas and supermarkets. Consumer receipts were also gathered to supplement this survey data. Additional data collection was conducted using environmental scans of fast food and grocery store locations to evaluate the healthfulness of the beverage environment. Lastly, some participants also completed a telephone interview where data was gathered on participant's dietary recall. These data are intended to gather a fuller picture of the factors that may influence beverage purchases.

These data were provided by The Joy Kitchen in response to research presented in the article, The Joy of Cooking Too Much: 70 Years of Calorie Increases in Classic Recipes (2009), Wansink, Brian and Collin R. Payne (2009). The data in this study are derived from recipes published in the "Joy of Cooking" cookbooks from 1936, 1997, and 2006.