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Big Data for Population Research (ICPSR 35978)

Released/updated on: 2015-06-17
Geographic coverage: United States
This project expands the Integrated Public Use Microdata Series (IPUMS) by adding demographic and geographic data describing the entire enumerated population of the U.S. from 1790-1930. The project provides data on the characteristics of over 600 million persons, quadrupling the quantity of U.S. census microdata available for scientific research. The data cover entire populations with full geographic detail, providing contextual information on neighborhood characteristics, including ethnic composition, demographic behavior, and population mobility.
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European-origin and Mexican-origin Populations in Texas, 1850, 1860, 1870, 1880, 1900, 1910 (ICPSR 35032)

Released/updated on: 2016-06-20
Geographic coverage: United States, Texas
This dataset was produced in the 1990s by Myron Gutmann and others at the University of Texas to assess demographic change in European- and Mexican-origin populations in Texas from the mid-nineteenth to early-twentieth centuries. Most of the data come from manuscript records for six rural Texas counties - Angelina, DeWitt, Gillespie, Jack, Red River, and Webb - for the U.S. Censuses of 1850-1880 and 1900-1910, and tax records where available. Together, the populations of these counties reflect the cultural, ethnic, economic, and ecological diversity of rural Texas. Red River and Angelina Counties, in Eastern Texas, had largely native-born white and black populations and cotton economies. DeWitt County in Southeast Texas had the most diverse population, including European and Mexican immigrants as well as native-born white and black Americans, and its economy was divided between cotton and cattle. The population of Webb County, on the Mexican border, was almost entirely of Mexican origin, and economic activities included transportation services as well as cattle ranching. Gillespie County in Central Texas had a mostly European immigrant population and an economy devoted to cropping and livestock. Jack County in North-Central Texas was sparsely populated, mainly by native-born white cattle ranchers. These counties were selected to over-represent the European and Mexican immigrant populations. Slave schedules were not included, so there are no African Americans in the samples for 1850 or 1860. In some years and counties, the Census records were sub-sampled, using a letter-based sample with the family as the primary sampling unit (families were chosen if the surname of the head began with one of the sample letters for the county). In other counties and years, complete populations were transcribed from the Census microfilms. For details and sample sizes by county, see the County table in the Original P.I. Documentation section of the ICPSR Codebook, or see Gutmann, Myron P. and Kenneth H. Fliess, How to Study Southern Demography in the Nineteenth Century: Early Lessons of the Texas Demography Project (Austin: Texas Population Research Center Papers, no. 11.11, 1989).
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Explaining Low Fertility in Italy (ELFI) (ICPSR 31881)

Released/updated on: 2012-01-12
Geographic coverage: Bologna, Cagliari, Europe, Naples, Italy, Padua

The ethnographic fieldwork portion of the project - interviews with women of reproductive age, and when available their partners and mothers - was initiated and completed in 2006. For each of four Italian cities (Padua, Bologna, Cagliari, and Naples) studied ethnographically by trained anthropologists, both a working-class and a middle-class neighborhood were identified. These interviews (349 in number) have been transcribed without identifiers. All interviews have been coded and assigned 'attributes' (or nominative variables, such as gender, civil/religious status of marriage, etc.) using the qualitative data analysis software (NVIVO), and these reside in secure electronic project folders. This large body of qualitative interview data is now complete and ready for use across the international collaborative units. Preliminary research reveals the particular significance of family ties in Italy, the fundamental role played by gender systems, and the specific cultural, socio-economic, and politic contexts in which fertility behavior and parenting are embedded.

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Families of Newtown, New York, 1642-1790 (ICPSR 35005)

Released/updated on: 2016-06-22
Geographic coverage: United States, New York (state)
Time period: 1642-01-01--1790-01-01
This dataset focuses on economic, social, and geographic mobility of town residents, and life events (marriage, birth and mortality). Church records supplemented with genealogies, wills, inventories, probate records, cemetery data, town books, court books, censuses, and tax lists were used to reconstitute families along the lines of previous French and English work (e.g. Fleury, M. and L. Henry, Nouveau manuel de dépouillement et d'exploitation de l'état civil ancient (1965) and Wrigley, E.A, "Family Reconstitution" in E.A. Wrigley, ed. An Introduction to English Historical Demography (1966). Family reconstitution is a method for studying demographic behavior in the absence of modern censuses and vital registration, providing for both observation of demographic events, as well as the population and time at risk. This dataset includes information about 202 couples and their 1094 children. The data on couples focus on demographic details for mothers and fathers, including birth, baptism, marriage and death dates, residence and religion. The data on children includes demographic information for the child, as well as marriage age and residence. Not all families have complete information.
Curated
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Four Generations: Population, Land, and Family in Colonial Andover, Massachusetts, 1630-1750 (ICPSR 35070)

Released/updated on: 2023-01-19
Geographic coverage: Andover, United States, Massachusetts
Time period: 1630-01-01--1750-01-01
The data are drawn from 28 families who were the first permanent European settlers in Andover, Massachusetts, and their progeny for three generations, reconstituted by Philip J. Greven for his PhD dissertation, Four Generations: A Study of Family Structure, Inheritance, and Mobility in Andover, Massachusetts, 1630-1750 (Harvard University, 1965). Greven used manuscript records of vital events, printed volumes of vital records, and published genealogies, supplemented with municipal and church records, gravestones, court records, and family records, following the methods developed in previous French and English work (e.g. Fleury, M. and L. Henry, Nouveau manuel de dépouillement et d'exploitation de l'état civil ancient (1965) and Wrigley, E.A, "Family Reconstitution," in E.A. Wrigley, ed. An Introduction to English Historical Demography (1966). Family reconstitution is a method for studying demographic behavior in the absence of modern censuses and vital registration, providing for both observation of demographic events as well as the population and time at risk. The data were collected to study population, land and the family for four generations in Andover, Massachusetts during the 17th and 18th centuries. The data include information on 455 marriages and 2,727 children, some of whom also appear as adults in the marriage records. The data on couples focus on demographic details for mothers and fathers, including birth, baptism, marriage, and death dates, and residence. The data on children include demographic information for the child, as well as their own marriages. Not all families have complete information. Greven's original Family Reconstitution Records were transcribed at ICPSR.
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Hingham, Massachusetts Family Reconstructions, 1635-1880 (ICPSR 34546)

Released/updated on: 2014-05-19
Geographic coverage: United States, Massachusetts, Hingham
Time period: 1635-01-01--1880-01-01
The data are families in Hingham, Massachusetts, reconstituted by Daniel Scott Smith for his PhD dissertation from printed genealogies, vital, church and tax records, and censuses, along the lines of previous French and English work (e.g. Fleury, M. and L. Henry, Nouveau manuel de depouillement et d'exploitation de l'etat civil ancien (1965) and Wrigley, E.A, "Family Reconstitution," in E.A. Wrigley, ed. An Introduction to English Historical Demography (1966)). Family reconstitution is a method for studying demographic behavior in the absence of modern censuses and vital registration, providing for both observation of demographic events as well as the population and time at risk. In his dissertation, Population, Family and Society in Hingham, Massachusetts, 1635-1880 (University of California-Berkeley, 1973) Smith refers to the data as "statistical genealogy". The data were intended to be used to examine demographic patterns, family structure and social stratification in the past, and to generalize these patterns across the New England region. This dataset includes information on 1727 marriages. Variables include information about birth, death, marriage, fertility and wealth of husbands and wives, their parents and children. Naming practices are also represented in the data. There are no direct observations of children, but rather summary-type measures of characteristics of children and the couple's fertility history. A variable indicating the quality of the reconstitution is included. However, the meaning of the variable values has been lost.
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Historical Demographic Data of Southeastern Europe: Orasac, 1824-1975 (ICPSR 32404)

Released/updated on: 2013-05-29
Geographic coverage: Orasac, Europe, Serbia, Global
Time period: 1824-01-01--1975-01-01

The data in the Historical Demographic Data of Southeastern Europe series derive primarily from the ethnographic and archival research of Joel M. Halpern, Professor Emeritus of Anthropology at the University of Massachusetts at Amherst, in southeastern Europe from 1953 to 2006. The series is comprised of historical demographic data from several towns and villages in the countries of Bosnia, Croatia, Macedonia, Montenegro, Serbia, and Slovenia, all of which are former constituent republics of the Socialist Federal Republic of Yugoslavia. The data provide insight into the shift from agricultural to industrial production, as well as the more general processes of urbanization occurring in the last days of the Yugoslav state. With an expansive timeframe ranging from 1818 to 2006, the series also contains a wide cross-section of demographic data types. These include, but are not limited to, population censuses, tax records, agricultural and landholding data, birth records, death records, marriage and engagement records, and migration information.

This component of the series focuses exclusively on the Serbian village of Orasac and is composed of 64 datasets. These data record a variety of demographic and economic information between the years of 1824 and 1975. General population information at the individual level is available in official census records from 1863, 1884, 1948, 1953, and 1961, and from population register records for the years of 1928, 1966, and 1975. Census data at the household level is also available for the years of 1863, 1928, 1948, 1953, and 1961. These data are followed by detailed records of engagement and marriage. Many of these data were obtained through the courtesy of village and county officials. Priest book records from 1851 through 1966, as well as death records from 1863 to 1976 and tombstone records from 1975, are also available. Information regarding migrants and emigrants was obtained from the village council for the years of 1946 through 1975. Lastly, the data provide economic and financial information, including records of individual landholdings (for the years of 1863, 1952, 1966, and 1975), records of government taxation at the individual or household level (for 1813 through 1840, as well as for 1952), and livestock censuses (at both the individual and household level for the years of 1824 and 1825, and only at the individual level for the years of 1833 and 1834).

Curated

Integrated Samples of Latin American Censuses (ICPSR 35983)

Released/updated on: 2015-06-18
Geographic coverage: Latin America
This project develops and supports a vast archive of large-scale microdata from over 100 censuses of 23 Latin American countries enumerated over the past half century. These data are a vital component of the Integrated Public Use Microdata Series (IPUMS). The project expands the database and adds data for four new countries, new 2010 round samples for countries currently in the database, and new higher-density versions of several existing samples.
Curated
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A Place In Time: Colonial Middlesex County, VA, 1650-1750 (ICPSR 35057)

Released/updated on: 2016-06-15
Geographic coverage: United States, Virginia
Time period: 1650-01-01--1750-01-01
This dataset was produced by Darrett B. and Anita H. Rutman while researching their book A Place in Time: Middlesex County Virginia, 1650-1750 and the companion volume, A Place in Time: Explicatus (both New York: Norton, 1984). Together, these works were intended as an ethnography of the English settlers of colonial Middlesex County, which lies on the Chesapeake Bay. The Rutmans created this dataset by consulting documentary records from Middlesex and Lancaster Counties (Middlesex was split from Lancaster in the late 1660s) and material artifacts, including gravestones and house lots. The documentary records include information about birth, marriage, death, migration, land patents and conveyances, probate, church matters, and government matters. The Rutmans organized this material by person involved in the recorded events, producing over 12,000 individual biographical sheets. The biographical sheets contain as much information as could be found for each individual, including dates of birth, marriage, and death; children's names and dates of birth and death; names of parents and spouses; appearance in wills, transaction receipts, and court proceedings; occupation and employers; and public service. This process is described in detail in Chapter 1 of A Place in Time: Middlesex County Virginia, 1650-1750. The Rutmans' biographical sheets have been archived at the Virginia Historical Society in Richmond, Virginia. To produce this dataset, most of the sheets were photographed (those with minimal information -- usually only a name and one date -- were omitted). Information from the sheets was then hand-keyed and organized into two data tables: one containing information about the individuals who were the main subjects of each sheet, and one containing information about children listed on those sheets. Because individuals appear several times, data for the same person frequently appears in both tables and in more than one row in each table. For example, a woman who lived all her life in Middlesex and married once would have two rows in the children's table -- one for her appearance on her mother's sheet and one for her appearance on her father's sheet -- and two rows in the individual table -- one for the sheet with her maiden name and one for the sheet with her married name. After entry, records were linked in order to associate all appearances of the same individual and to associate individuals with spouses, parents, children, siblings, and other relatives. Sheets with minimal information were not included in the dataset. The data includes information on 6586 unique individuals. There are 4893 observations in the individual file, and 7552 in the kids file.
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Swedish Adoption/Twin Study on Aging (SATSA), 1984, 1987, 1990, 1993, 2004, 2007, and 2010 (ICPSR 3843)

Released/updated on: 2015-05-13
Geographic coverage: Sweden, Global
Time period: 1984-01-01--2010-01-01
The Swedish Adoption/Twin Study on Aging (SATSA) was designed to study the origins of individual differences in aging and the environmental and genetic factors that are involved. SATSA began in 1984, and six additional waves were conducted in 1987, 1990, 1993, 2004, 2007, and 2010. The questionnaire was initially sent to all twins from the Swedish Twin Registry who were separated at an early age and raised apart; the survey was also administered to a control sample of twins who were raised together. The respondents were surveyed on items that included health status, how they were raised, work environment, alcohol consumption, and dietary and smoking habits, as well as questions about personality and attitudes; this information comprised the first component. The second component was collected from a subsample composed of 150 pairs of twins raised apart and 150 pairs of twins raised together. This subsample participated in seven waves of in-person testing, which included a health examination, structured interviews, and tests on functional capacity, cognitive abilities, and memory. The data are represented according to questionnaire and time number, and correspond to each wave/year: Questionnaire 1 and In-Person Testing Time 1 were in 1984; Questionnaire 2 and In-Person Testing Time 2 were in 1987; Questionnaire 3 and In-Person Testing Time 3 were in 1990; Questionnaire 4 and In-Person Testing Time 4 were in 1993; Questionnaire 5 was in 2003; In-Person Testing Time 5 was in 2004; Questionnaire 6 and In-Person Testing Time 6 were in 2007; In-Person Testing Time 7 was in 2010. The Administrative and Cognitive datasets include data from all years/waves. The Smell Survey dataset only includes data from 1990. No years were specified for the Contact measures and Separation measures datasets. Demographic and background information includes age, sex, education, family history, household composition and employment.
Curated

West Malaysian Family Survey, 1966-1967 (ICPSR 31582)

Released/updated on: 2012-01-16
Geographic coverage: Malaysia
Time period: 1966-01-01--1967-01-01
The Family Survey was a national (contemporary Peninsular Malaysia) probability sample survey consisting of an initial household screening interview followed by an intensive interview of all currently married women, aged 15 to 45, living in the screened households. The primary objective of the survey was to gather baseline data on fertility and on family planning knowledge, attitudes, and practices. The survey was conducted by the Malaysian Department of Statistics for the National Family Planning Board of Malaysia. Technical assistance was provided by the staff of the Population Studies Center of the University of Michigan.