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Chinese Household Income Project, 2002 (ICPSR 21741)

Released/updated on: 2009-08-14

Geographic coverage: China (Peoples Republic)

The purpose of this project was to measure and estimate the distribution of personal income and related economic factors 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. Data were collected through a series of questionnaire-based interviews conducted in rural and urban areas at the end of 2002. There are ten separate datasets. The first four datasets were derived from the urban questionnaire. The first contains data about individuals living in urban areas. The second contains data about urban households. The third contains individual-level economic variables copied from the initial urban interview form. The fourth contains household-level economic variables copied from the initial urban interview form. The fifth dataset contains village-level data, which was obtained by interviewing village leaders. The sixth contains data about individuals living in rural areas. The seventh contains data about rural households, as well as most of the data from a social network questionnaire which was presented to rural households. The eighth contains the rest of the data from the social network questionnaire and is specifically about the activities of rural school-age children. The ninth dataset contains data about individuals who have migrated from rural to urban areas, and the tenth dataset contains data about rural-urban migrant households. Dataset 1 contains 151 variables and 20,632 cases (individual urban household members). Dataset 2 contains 88 variables and 6,835 cases (urban households). Dataset 3 contains 44 variables and 27,818 cases, at least 6,835 of which are empty cases used to separate households in the file. The remaining cases from dataset 3 match those in dataset 1. Dataset 4 contains 212 variables and 6,835 cases, which match those in dataset 2. Dataset 5 contains 259 variables and 961 cases (villages). Dataset 6 contains 84 variables and 37,969 cases (individual rural household members). Dataset 7 contains 449 variables and 9,200 cases (rural households). Dataset 8 contains 38 variables and 8,121 cases (individual school-age children). Dataset 9 contains 76 variables and 5,327 cases (individual rural-urban migrant household members). Dataset 10 contains 129 variables and 2,000 cases (rural-urban migrant households).

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.

Curated

Partially restricted

Simple Crosstabs

Chitwan Valley Family Study: Labour Outmigration, Agricultural Productivity and Food Security, Nepal, 2015-2017 (ICPSR 36755)

Released/updated on: 2022-05-02

Geographic coverage: Asia, Nepal

Time period: 2015-07-15--2015-12-20, 2016-03-02--2017-02-21, 2016-01-07--2017-11-01, 2016-01-12--2017-12-01, 2016-01-06--2017-05-07, 2016-03-11--2016-04-03, 2017-02-28--2017-04-04, 2016-06-13--2016-08-19, 2017-06-28--2017-08-10, 2016-02-03--2016-03-10, 2017-01-05--2017-03-26, 2015-10-26--2015-12-03, 2016-10-20--2016-11-27, 2016-03-26--2016-04-10, 2017-03-06--2017-04-10, 2015-03-01--2017-01-01, 2015-08-23--2017-06-21, 2015-08-23--2015-12-02, 2016-01-01--2016-05-08, 2016-05-16--2016-09-22, 2016-09-25--2017-01-29, 2017-03-02--2017-06-21, 2017-02-22--2017-06-21, 2015-07-15--2015-12-20, 2015-07-15--2015-12-20

The Chitwan Valley [Nepal] Family Study: Labor Outmigration, Agricultural Productivity and Food Security is a three year project with the aim to investigate the consequences of labor outmigration on agricultural productivity in a poor agricultural country persistently facing food security problems. A Data Guide for this study is available as a web page and for download.

This project's data collection is made up of twenty-five datasets:

Datasets 1-6: The Household Agriculture and Migration Survey includes information on household agricultural practices and remittances received by the household. Face-to-face interviews were conducted to collect data from household members who previously participated in the Chitwan Valley Family Study (ICPSR 4538).

Topics of the survey include crop production and farm technology use, wealth, assets, income, consumption, food security and information about each household member currently away from home. The survey also collected information on gender, ethnicity, and age.

Datasets 7-16: Measured yields of major crops grown by farm households that previously participated in the Chitwan Valley Family Study (ICPSR 4538).

Dataset 17: A monthly demographic event registry administered to all households that previously participated in the Chitwan Valley Family Study (ICPSR 4538).

Datasets 18-23: The Women's Time Use Survey was designed and administered to married, Nepalese women to collect information on changes in their time and involvement in agriculture and other activities. Face-to-face interviews and telephone interviews were conducted to collect data from women who previously participated in the Chitwan Valley Family Study (ICPSR 4538).

The collection covered a range of topics including farm work, hygiene, finances, health, and religion. Further, respondents were queried concerning socialization and assisting children and the elderly.

Datasets 24-25: The Women's Time Use Survey was designed and administered to married, Nepalese women to collect information on changes in their time and involvement in agriculture and other activities. Face-to-face interviews and telephone interviews were conducted to collect data from women who previously participated in the Chitwan Valley Family Study (ICPSR 4538).

Curated

Dynamics of Household Land Use and Economic Welfare on the Amazon Frontier, 1996-2005, Rondonia, Brazil (ICPSR 25322)

Released/updated on: 2009-12-16

Geographic coverage: Rondonia, Brazil, Global

Time period: 1996-01-01--2005-01-01

This study, which updates DIFFUSION OF SUSTAINABLE AGRICULTURE IN THE AMAZON [BRAZIL]: A PANEL DATABASE, 1996-2000 (ICPSR 3948), examines household land use and economic welfare in the Amazon basin through the collection of a third round of panel data with improved spatial referencing and a new system for tracking households and individuals. The study area is typical of the arc of deforestation across the southern Brazilian Amazon. Data from this study were used to model the relationship between deforestation and household well-being, thereby gaining insight on welfare outcomes that also have implications for conservation policies. Face-to-face interviews were conducted with the residents of the Ouro Preto do Oeste region of the Brazilian state of Rondonia. Demographic questions focused on: education, age, household size, migration and place of birth of the residents. Other questions focused on the ownership of the lots, years of residency on the lots, household income sources, household wealth and assets, as well as household cost of living.

Curated

Evaluation of the Agriculture Crime Technology Information and Operation Network (ACTION) in Nine Counties in California, 2004-2005 (ICPSR 4686)

Released/updated on: 2009-05-01

Geographic coverage: United States, California

Time period: 2004-01-01--2005-01-01

The Urban Institute and Florida State University multidisciplinary research team employed a multimethod approach to evaluate the Agricultural Crime, Technology, Information, and Operations Network (ACTION) project. The goal of the research was to provide policymakers, practitioners, program developers, and funders with empirically-based information about whether ACTION works. Two paper-and-pencil, self-administered surveys -- one in fall 2004 and the second in fall 2005 -- were sent to samples of farmers in the nine ACTION counties in California. The researchers identified farms using lists provided by Agricultural Commissioners in each county. The survey instruments asked farmers about experiences with agricultural crime victimization during the 12 months prior to the survey. It also asked questions about characteristics of their farm operations and the activities that they take to prevent agricultural crime. Advance notice of the study was given to farmers through the use of postcards, then surveys were sent to farmers in three waves at one-month intervals, with the second and third waves targeting nonrespondents. The Fall 2004 Agricultural Crime Survey (Part 1) contains data on 823 respondents (farms) and the Fall 2005 Agricultural Crime Survey (Part 2) contains data on 818 respondents (farms).

Curated

Simple Crosstabs

Longitudinal Survey Data of Households in Ouro Preto do Oeste, Rondonia, Brazil, 1996-2009 (ICPSR 34905)

Released/updated on: 2014-07-15

Geographic coverage: Rondonia, Brazil, Global

Time period: 1996-01-01--2009-01-01

This study, which updates Dynamics of Household Land Use and Economic Welfare on the Amazon Frontier, 1996-2005, Rondonia, Brazil (ICPSR 25322), examines household land use and economic welfare of residents living in the highly deforested Amazon basin region of southern Brazil. This release represents the fourth round of data collection which includes primary data from household panel surveys in the core study area, combined with several other sources of data, including cadastral maps matched with satellite imagery to quantify land cover change, spatial data on biophysical factors, markets, and public infrastructure, and secondary data from official sources (such as agricultural census data). Interviews were conducted with respondents residing in the Ouro Preto do Oeste region of the Brazilian state of Rondonia. Survey questions focused on respondent ownership of land lots, years of residency on the lots, property sales, physical characteristics of lots and dwellings, types and quantity of livestock and crops, and use of fertilizers, pesticides, and herbicides. Several questions asked respondents whether they owned various durables, including vehicles, household appliances, tools, and farm equipment. Demographic information includes age of respondent and other household occupants, household size, migration, and education level, as well as information on household income, assets, pensions, and cost of living.

Curated

Massachusetts Tax Valuation Records, 1771 (ICPSR 7734)

Released/updated on: 1992-02-16

Geographic coverage: United States, Massachusetts

This collection contains the names and descriptions of taxable property of nearly 38,000 individuals who resided in 152 Massachusetts towns in 1771. Data items include type and value (in pounds, shillings, and pence) of real estate, buildings, and other assets, as well as tabulation of livestock and farm commodities produced. Specific variables pertaining to value of real estate, buildings, and other assets include annual worth of whole real estate, tons of vessels, value of trading stock, value of factorage or commissions, value of money lent at interest, and types of buildings (e.g., tanhouses, stillhouses, warehouses, gristmills, superficial feet of wharf, ironworks). With respect to tabulation of livestock, variables provide information on number of horses, oxen, cows, goats, sheep, and swine. Data describing farm commodities cover acres of pasture, number of cows the pasture will keep, acres of tillage, bushels of grain produced per year, barrels of cider produced per year, acres of salt marsh, tons of salt marsh hay per year, acres of English and upland mowing land, tons of English and upland hay per year, acres of fresh meadow, and tons of fresh meadow hay per year. Other variables specify taxpayer name, title (e.g., widow, doctor, blacksmith), and status of taxpayer (e.g., decedent, landlord, free Negro).

Curated

Simple Crosstabs

Place Attachment in a Resettled Population, Mozambique, 2015 (ICPSR 36533)

Released/updated on: 2017-01-20

Geographic coverage: Mozambique

Time period: 2015-05-01--2015-06-01

This project examined the role of place attachment in facilitating successful resettlement programs and identified barriers faced by resettled communities as they establish place attachment to the post-resettlement site. Respondents were asked about which items were needed for a better life and the importance of these items; items required for survival and happiness; and items needed for a better home. In addition, respondents were asked about the social environments in their post-resettlement site and former village; their material possessions in the post-resettlement site and former village; their household expenses in the post-resettlement site; and quality of life in their former village including availability of utilities, housing materials, and presence of disasters. Demographic variables include ethnic group, age, sex, language, education, occupation, and number of school-aged children in the household and their education.

Curated

Simple Crosstabs

Sri Lankan Environmental and Agricultural Decision-making Survey (SEADS), 2015-2017 (ICPSR 37051)

Released/updated on: 2018-06-12

Geographic coverage: Sri Lanka

Time period: 2015-01-01--2017-01-01

The Sri Lankan Environmental and Agricultural Decision-making Survey (SEADS) collected quantitative data from paddy farming households in 24 pre-selected villages in the dry zone of Sri Lanka. These data include information about livelihoods, economic activity, household characteristics, cultivation, and experiences with water scarcity and environmental stress. The objective of SEADS was to collect high quality data that could be used to:

Understand the impacts of water scarcity on farming households throughout the dry zone, and to assess vulnerability to climate change impacts.
Document methods of coping with water scarcity utilized by farmers and communities throughout the dry zone.
Estimate the rate of adoption of agricultural adaptations promoted by governmental and non-governmental organizations and community leaders (e.g., parachute method, low flood depth irrigation, short duration seed varieties.)
Understand what programs or policies may help support farmers to cope with water scarcity in the future.

Demographic variables collected include age, gender, religion, ethnicity, district of origin, education level, and occupation.