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China Multi-Generational Panel Dataset, Liaoning (CMGPD-LN), 1749-1909 (ICPSR 27063)
Released/updated on: 2016-09-06
Geographic coverage: Asia, China (Peoples Republic)
Time period: 1749-01-01--1909-01-01
The China Multi-Generational Panel Dataset - Liaoning (CMGPD-LN) 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 from 698 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. Additionally, the collection includes monthly and annual grain price data, custom records for the city of Yingkou, as well as information regarding natural disasters, such as floods, droughts, and earthquakes. 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.
Curated
Decision-Related Research on the Organization of Service Delivery Systems in Metropolitan Areas: Public Health (ICPSR 7374)
Released/updated on: 1992-02-16
Geographic coverage: United States
Time period: 1970-01-01--1975-01-01
This study represents one of four research projects on service delivery systems in metropolitan areas, covering fire protection (DECISION-RELATED RESEARCH ON THE ORGANIZATION OF SERVICE DELIVERY SYSTEMS IN METROPOLITAN AREAS: FIRE PROTECTION [ICPSR 7409]), police protection (DECISION-RELATED RESEARCH ON THE ORGANIZATION OF SERVICE DELIVERY SYSTEMS IN METROPOLITAN AREAS: POLICE PROTECTION [ICPSR 7427]), solid waste management (DECISION-RELATED RESEARCH ON THE ORGANIZATION OF SERVICE DELIVERY SYSTEMS IN METROPOLITAN AREAS: SOLID WASTE MANAGEMENT [ICPSR 7487]), and public health (the present study). All four projects used a common unit of analysis, namely all 200 Standard Metropolitan Statistical Areas (SMSAs) that, according to the 1970 Census, had a population of less than 1,500,000 and were entirely located within a single state. In each project, a limited amount of information was collected for all 200 SMSAs. More extensive data were gathered within independently drawn samples of these SMSAs, for all local geographical units and each administrative jurisdiction or agency in the service delivery areas. Two standardized systems of geocoding -- the Federal Information Processing Standard (FIPS) codes and the Office of Revenue Sharing (ORS) codes -- were used, so that data from various sources could be combined. The use of these two coding schemes also allows users to combine data from two or more of the research projects conducted in conjunction with the present one, or to add data from a wide variety of public data files. The delivery of public health services was investigated in 200 SMSAs plus Minneapolis and St. Paul. The basic data collection effort involved the use of public data sources as well as proprietary data from the American Medical Association (AMA) and the Commission on Professional and Hospital Activities (CPHA). Because of the proprietary nature of some of the data and for the preservation of confidentiality, all analyses were performed at the SMSA level. Unlike the other three related research projects, the present study does not provide disaggregated units of analysis such as the administrative jurisdiction, the individual hospital, or other facilities. Variables describe the characteristics of available professionals and facilities, regulatory factors reflecting the impact of federal and state programs available in the area, and financing factors, including the coverage of state Medicaid programs, Blue Cross and Blue Shield, and Medicare programs. Information is also provided regarding the demographic and socioeconomic characteristics of the population served in each SMSA.