Showing 1 – 10 of 10 results.
Curated
Agricultural and Demographic Records for Rural Households in the North, 1860: [Instructional Materials] (ICPSR 3463)
Released/updated on: 2002-10-17
Geographic coverage: Vermont, Indiana, United States, Minnesota, Kansas, New York (state), New Jersey, Michigan, Pennsylvania, Iowa, Illinois, Connecticut, Missouri, New Hampshire, Ohio, Maryland, Wisconsin
These instructional materials were prepared for use with AGRICULTURAL AND DEMOGRAPHIC RECORDS FOR HOUSEHOLDS IN THE NORTH, 1860 (ICPSR 7420), compiled by Fred Bateman and James D. Foust. The data file and accompanying documentation are provided to assist educators in (an SPSS portable file) instructing students about the history of agriculture and rural life in the North, just prior to the Civil War. An instructor's handout has also been included. This handout contains the following sections, among others: (1) General goals for student analysis of quantitative datasets, (2) Specific goals in studying this dataset, (3) Suggested appropriate courses for use of the dataset, (4) Tips for using the dataset, and (5) Related secondary source readings. Demographic, occupational, and economic information for over 21,000 rural households in the northern United States in 1860 are presented in the dataset. The data were obtained from the manuscript agricultural and population schedules of the 1860 United States Census and are provided for all households in a single township from each of the 102 randomly-selected counties in 16 northern states. Variables in the dataset include farm values, livestock, and crop production figures for the households that owned or operated farms (over half the households sampled), as well as value of real and personal estate, color, sex, age, literacy, school attendance, occupation, place of birth, and parents' nationality of all individuals residing in the sampled townships.
Curated
Partially restricted
Simple Crosstabs
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
Partially restricted
Simple Crosstabs
China Multi-Generational Panel Dataset, Shuangcheng (CMGPD-SC), 1866-1913 (ICPSR 35292)
Released/updated on: 2021-10-14
Geographic coverage: Asia, China (Peoples Republic)
Time period: 1866-01-01--1913-01-01
The China Multi-Generational Panel Dataset - Shuangcheng (CMGPD-SC) provides longitudinal individual, household, and community information on the demographic and socioeconomic characteristics of a resettled population living in Shuangcheng, a county in present-day Heilongjiang Province of Northeastern China, for the period from 1866 to 1913. The dataset includes some 1.3 million annual observations of over 100,000 unique individuals descended from families who were relocated to Shuangcheng in the early 19th century. These families were divided into 3 categories based on their place of origin: metropolitan bannermen, rural bannermen, and floating bannermen. The CMGPD-SC, like its Liaoning counterpart, the CMGPD-LN (ICPSR 27063), is a valuable data source for studying longitudinal as well as multi-generational social and demographic processes. The population categories had salient differences in social origins and land entitlements, and landholding data are available at a number of time periods, thus the CMGPD-SC is especially suitable to the study of stratification processes.
Curated
Diffusion of Sustainable Agriculture in the Amazon [Brazil]: A Panel Database, 1996-2000 (ICPSR 3948)
Released/updated on: 2005-12-15
Geographic coverage: South America, Brazil, Global
Time period: 1996-01-01--2000-01-01
This study, DIFFUSION OF SUSTAINABLE AGRICULTURE IN THE AMAZON [BRAZIL]: A PANEL DATABASE, 1996-2000, is no longer current. Please see DYNAMICS OF HOUSEHOLD LAND USE AND ECONOMIC WELFARE ON THE AMAZON FRONTIER, 1996-2005, RONDONIA, BRAZIL (ICPSR 25322), which includes a third round of panel data (2005), as well as edits and changes to the previous years (1996 and 2000).
This study gathered farm-level panel data in Ouro Preto do Oeste, Rondonia, Brazil, to determine the relationship between household decisions and land use for Amazonian households. This project was initiated in August 1996 when a stratified random sample of 171 farmers in Ouro Preto do Oeste was selected along with 25 households that participate in the Association of Alternative Producers (APA) to investigate the decisions of farmers using slash-and-burn agriculture and others using sustainable methods of farming. The survey questions consisted of inquiries about the household (including age, education level, farming experience, and number of farm animals owned), lot characteristics (including size and division between pasture, forest, agriculture, and agroforestry), harvest of market and subsistence crops, agricultural and other forms of income, and the use of agroforestry and major influences determining farming techniques. Questions about income derived from agriculture provided information about the harvest of all perennial and annual crops, milk harvest and meat harvest, the amount of each item that was sold, and at what price.
Curated
Guatemalan Survey of Family Health (EGSF), 1995 (ICPSR 2344)
Released/updated on: 2025-11-06
Geographic coverage: Guatemala, Global
Time period: 1995-05-01--1995-10-01
The Guatemalan Survey of Family Health (EGSF) was undertaken to investigate the health of children under the age of five and women during pregnancy and childbirth residing in 60 communities within the departments (geopolitical units) of Chimaltenango, Suchitepequez, Totonicapan, and Jalapa in Guatemala. Data were collected at the household, individual, and community levels to gain an in-depth understanding of the way residents in these rural populations think about their health, treatment, and family relations.
Data at the household level (Parts 1-5, 90-92) provide information on household members, relation to household head, age, education, and language used.
The individual-level data (Parts 6-37) describe the respondent's background, marital/relationship history, social ties and social support, and economic status, along with health beliefs, a complete birth history, knowledge and use of contraception, health problems and treatment during the last two pregnancies, and anthropometry on mothers and children. Extensive data were gathered regarding the health problems and treatment for each of the two youngest children born since January 1990, with particular focus on diarrhea and respiratory infections.
The community data (Parts 41-60) supply information gathered from three knowledgeable individuals called "key informants" about occupations in the community, crops grown, wages, utilities and community services, and the history of the community. Parts 61-89 contain information regarding Health Posts (health care centers) through interviews conducted with key informants, doctors (Parts 72-80), and other health service providers (Parts 81-89), including traditional providers such as curers, midwives, and bone setters, regarding their practices, patients, referrals, fees, payment, and the use of specific treatments.
Curated
Simple Crosstabs
Land Use, Agropastoral Production, Family Composition, and Household Economy in Santarem, Para, Brazil, June-August 2003 (ICPSR 34347)
Released/updated on: 2013-04-01
Geographic coverage: Brazil, Global, Santarem
The 2003 Santarem dataset consists of 8 interconnected datasets and 1 linking file. The primary unit of analysis is the rural property or lot. Each lot in the sample contains a minimum of 1 household with a mean of 1.33 households per lot in the final sample. Within households, data were collected on subsets of individuals as well as additional properties used by the households in the study. These 2003 Santarem data come from interviews with farm families in an agricultural zone south of the city of Santarem in the Brazilian state of Para. Santarem is a relatively old settlement within the Brazilian Amazon that has experienced waves of regional settlement in the 1930s, mid-century, and the 1970s. The study region is adjacent to the confluence of the Amazon and Tapajos Rivers and the northern terminus of the BR-163 (the Cuiaba-Santarem Highway). BR-163 links intensive agropastoral production (particularly mechanized soybean farming) in the state of Mato Grosso to Santarem, where the multinational corporation Cargill runs a deepwater port (opened in 2003) for loading soybeans onto oceangoing ships. The opening of this port has accelerated the process of urbanization and led to a transformation from a landscape of small family farming to a landscape of mechanized agriculture (description adapted from VanWey, Leah K., and Kara B. Cebulko, 2007, Journal of Marriage and the Family 69: 1257-1270). The discourse on deforestation has focused on the alarming rates of deforestation in the Amazon Basin to the neglect of the dynamic and reciprocal influences between the human population and the environment. Deforestation is a process mediated by human intervention, from the act of clearing to how such a clearing is used and managed over time. It would be helpful to know whether observable rates of forest removal represent a stage in the developmental cycle of households or represents the simple and direct impact of increasing population in these environments. From the point of view of theory and method, it is necessary to develop new approaches that effectively link demographic process to the interactive relationship of population to specific aspects of an environmental matrix. This project addressed multiple scales, from household dynamics to landscape dynamics and has developed methods by which to scale between them. We hypothesize that as households occupy frontier areas past the first generation, they move from a strategy of managing their land under the constraints of available household labor to a strategy that gives greater recognition of the constraints posed by land quality and of the risks to their farm operation coming from external socioeconomic forces and biophysical constraints. In the first generation, the labor available to a household is determined by the size of the household making the initial trip to the frontier (primarily young couples is common in frontier regions) and later by the fertility of these initial migrants. As these initial migrants age and their children enter adulthood (thereby becoming the second generation), labor supply is determined by the reproductive and land use choices of these children. Given the precipitous decline in female fertility, other factors gain salience in the second generation: the suitability of the land for various uses, the availability of off-farm employment and educational opportunities (both locally and those requiring migration), and macroeconomic factors affecting the economic viability of farming. These decisions then directly determine the entries into and exits from the household. This study investigated five basic questions: (1) Does the changing availability of household labor over the household life cycle affect the trajectory of deforestation and land use change in the same way for later generations of Amazonian farmers as for first generation in-migrants? (2) What are the determinants of changing household labor supply? Specifically, what are the biophysical and socioeconomic determinants of entries into and exits from the household through fertility, migration, and marriage? (3) How are the decisions of households regarding land use and labor allocation constrained by soil quality, access to water supplies, interannual drought events (e.g. El Nino type events), and other resource scarcities? (4) Are there notable differences in land use choices made by landholders who live in an urban area (away from the piece of land owned in the rural area) in contrast to the decisions made by those who live on their rural properties? (5) What are the bases for the precipitous decline in female fertility in these frontier regions, especially the use of sterilization after two pregnancies? Households will be surveyed in the Santarem region, in the Lower Tapajos Basin, Brazilian Amazon to collect detailed demographic, land-use histories, and economic data. The sampling of households for inclusion in the study will be based on a stratified random sample by period of occupation in Santarem, to capture intergenerational processes that preceded the availability of satellite images. Based on the particular combination of methodologies used in this investigation (traditional household surveys, satellite image analysis, and GIS, and the scaling up and down from households to landscape), future environmental changes were projected for the regional landscape under various scenarios of continued settlement, household life cycles, combinations of credit, and changing environmental conditions.
Curated
PLURAL - Place-level urban-rural indices for the United States from 1930 to 2018 (ICPSR 39071)
Released/updated on: 2024-03-14
Geographic coverage: Conterminous United States of America
Time period: 1930-01-01--2018-01-01
Rural-urban classifications are essential for analyzing geographic, demographic, environmental, and social processes across the rural-urban continuum. Most existing classifications are, however, only available at relatively aggregated spatial scales, such as at the county scale in the United States. The absence of rurality or urbanness measures at high spatial resolution poses significant problems when the process of interest is highly localized, as with the incorporation of rural towns and villages into encroaching metropolitan areas. Moreover, existing rural-urban classifications are often inconsistent over time, or require complex, multi-source input data (e.g., remote sensing observations or road network data), thus, prohibiting the longitudinal analysis of rural-urban dynamics. We developed a set of distance- and spatial-network-based methods for consistently estimating the remoteness and rurality of places at fine spatial resolution, over long periods of time. Based on these methods, we constructed indices of urbanness for 30,000 places in the United States from 1930 to 2018. We call these indices the place-level urban-rural index (PLURAL), enabling long-term, fine-grained analyses of urban and rural change in the United States.
Curated
Puerto Rico Census Project, 1910 (ICPSR 4343)
Released/updated on: 2006-01-16
Geographic coverage: Puerto Rico, United States, Global
The data comprising the Puerto Rico Census Project, 1910
contain individual and household records drawn from the 1910 Puerto
Rican Population Census. The data include variables containing basic
demographic information such as age, sex, race, marital status, number
of children born and surviving, family size, place of birth,
immigration status, county and neighborhood of residence, urban/rural
status, and citizenship. The data also describe language proficiency,
literacy, school attendance, and disabilities (blind or deaf) of the
individuals. Other variables provide data on occupation, industry,
ownership of residence, status of mortgage, and farm ownership. There
are four classifications of variables belonging to this dataset:
original input variables, coded variables, constructed variables, and
quality flag variables. The original input variables contain the raw
data collected by the enumerators. The coded variables are variables
that were recoded by the University of Wisconsin Survey Center (UWSC)
as part of the Puerto Rico Census Project. Constructed variables were
produced by UWSC to capture additional relevant information. For
example, one constructed variable measures literacy by combining
separate variables containing data on whether the individual could
read and if they could write. Finally, quality flag variables were
created by UWSC to indicate whether it could be logically deduced that
individual records had been hand edited by the Census Office.
Curated
Puerto Rico Census Project, 1920 (ICPSR 4344)
Released/updated on: 2006-01-16
Geographic coverage: Puerto Rico, United States, Global
The data comprising the Puerto Rico Census Project, 1920
contain individual and household records drawn from the 1920 Puerto
Rican Population Census. The data include variables containing basic
demographic information such as age, sex, race, marital status, number
of children born and surviving, family size, place of birth,
immigration status, county and neighborhood of residence, urban/rural
status, and citizenship. The data also describe language proficiency,
literacy, school attendance, and disabilities (blind or deaf) of the
individuals. Other variables provide data on occupation, industry,
ownership of residence, status of mortgage, and farm ownership. There
are four classifications of variables belonging to this dataset:
original input variables, coded variables, constructed variables, and
quality flag variables. The original input variables contain the raw
data collected by the enumerators. The coded variables are variables
that were recoded by the University of Wisconsin Survey Center (UWSC)
as part of the Puerto Rico Census Project. Constructed variables were
produced by UWSC to capture additional relevant information. For
example, one constructed variable measures literacy by combining
separate variables containing data on whether the individual could
read and if they could write. Finally, quality flag variables were
created by UWSC to indicate whether it could be logically deduced that
individual records had been hand edited by the Census Office.
Curated
Southern Farms Study, 1860 (ICPSR 7419)
Released/updated on: 1992-02-16
Geographic coverage: United States
This study presents 1860 data on population and farm production in 5,228 farms located in 405 major cotton-producing counties in the South. The data was compiled from the agriculture, slave, and population schedules of the 1860 United States manuscript Census. For each farm, variables describing farm land, machinery, crops, and livestock are included, as well as production figures for specific crops and types of livestock on the farm. The population variables tabulate the free and slave residents of each farm by sex, race, and age in five- or ten-year categories.