Campaign Finance in Local Elections: An Eleven City Study, 1989-2007 contains campaign finance data for candidates in local elections held from 1989 to 2007 in the following cities: New York City (NY), Los Angeles (CA), Chicago (IL), San Francisco (CA), Seattle (WA), Miami (FL), Tampa (FL), Lexington (KY), Louisville (KY), Sacramento (CA), and Long Beach (CA). Data were also collected for the counties Hillsborough County/Tampa (FL) and Miami-Dade (FL). The study includes data on funds raised and spent, as well as candidate data and election returns, and both mayoral and city council races. Information was also collected on the size of the population of the candidates jurisdiction, the amount of political contributions and committee expenditures, whether the election was held in a publicly-funded city, and the outcome of the election. Demographic variables include candidate’s sex, race, political party, education, and occupation.
National Hospital Ambulatory Medical Care Survey, 2007 provides data from samples of patient records selected from emergency departments (EDs) and outpatient departments (OPDs) of a national sample of hospitals. The resulting national estimates describe the use of hospital ambulatory medical care services in the United States. For the 2007 survey, data were collected from 202 OPDs and 432 EDs. Among the variables included are age, race, and sex of the patient, reason for the visit, physician’s diagnoses, cause of injury, surgical procedures (OPDs only), medication therapy, and expected source of payment.
Prescription for Health Evaluation: Practice Information Form Data, 2005-2007, is part of the Prescription for Health initiative, funded by the Robert Wood Johnson Foundation. The initiative encourages primary care practice-based research networks to develop innovative strategies to change health risk behaviors (tobacco, alcohol, diet, exercise).
This file contains information about the following variables for study participants: practice type and ownership; characteristics of each clinician and non-clinician staff person; number of vacancies for clinicians and non clinicians; number of exam rooms and volume of office visits; average number of new patients per month; percentages of patients in various age, race, Hispanic origin, and payer categories; and the predominant type of payment arrangement with health plans.
This study is part of the Health and Medical Care Archive, the Data Archive of the Robert Wood Johnson Foundation.
Study of Family Life in Urban China, 1999, also referred to simply as the “Three-City Survey,” is a 1999 survey of urban residents in three large Chinese cities: Shanghai, Wuhan, and Xi’an. The study focused on the social and economic aspects of the family, particularly, the effects of economic reform on family life, cultural practices, and civic values.
New York City Community Health Survey, 2002 is a telephone survey conducted annually by the New York City Department of Health and Mental Hygiene (DOHMH). The CHS provides robust data on the health of New Yorkers, including neighborhood, borough and citywide estimates on a broad range of chronic diseases and behavioral risk factors.
The China Multi-Generational Panel Dataset, 1749-1909 is drawn from the population registers compiled by the Imperial Household Agency (neiwufu) in Shengjing, currently the northeast Chinese province of Liaoning, between 1749 and 1909. It provides 1.5 million triennial observations of more than 260,000 residents of approximately 628 communities. The population mainly consists of immigrants from North China who settled in rural Liaoning during the early eighteenth century, and their descendants. The data provide socioeconomic, demographic, and other characteristics for individuals, households, and communities, and record demographic outcomes such as marriage, fertility, and mortality. The data also record specific disabilities for a subset of adult males. This dataset is unique among publicly available population databases because of its time span, volume, detail, and completeness of recording, and because it provides longitudinal data not just on individuals, but on their households, descent groups, and communities.