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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--2017-01-31, 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).

Self-published

County-level crop area in the USA 1840-2017 (ICPSR 115795)

Released/updated on: 2020-10-14

Geographic coverage: Contiguous United States, United States

Time period: 1840-01-01--2017-12-31

This dataset contains estimates of proportional area of 18 major crops for each county in the United States at roughly decadal time steps between 1840 and 2017, and was used for analyses of historical changes in crop area, diversity, and distribution published in:Crossley, MS, KD Burke, SD Schoville, VC Radeloff. (2020). Recent collapse of crop belts and declining diversity of US agriculture since 1840. Global Change Biology (in press).The original data used to curate this dataset was derived by Haines et al. (ICPSR 35206) from USDA Agricultural Census archives (https://www.nass.usda.gov/AgCensus/). This dataset builds upon previous work in that crop values are georeferenced and rectified to match 2012 county boundaries, and several inconsistencies in the tabular-formatted data have been smoothed-over. In particular, smoothing included conversion of values of production (e.g. bushels, lbs, typical of 1840-1880 censuses) into values of area (using USDA NASS yield data), imputation of missing values for certain crop x county x year combinations, and correcting values for counties whose crop totals exceeded the possible land area.Please contact the PI, Mike Crossley, with any questions or requests: [email protected]

Curated

Simple Crosstabs

United States Agriculture Data, 1840 - 2012 (ICPSR 35206)

Released/updated on: 2018-08-20

Geographic coverage: United States

Time period: 1840-01-01--2012-12-31

This collection includes county-level data from the United States Censuses of Agriculture for the years 1840 to 2012. The files provide data about the number, types, output, and prices of various agricultural products, as well as information on the amount, expenses, sales, values, and production of machinery. Most of the basic crop output data apply to the previous harvest year. Data collected also included the population and value of livestock, the number of animals slaughtered, and the size, type, and value of farms. Part 46 of this collection contains data from 1980 through 2010. Variables in part 46 include information such as the average value of farmland, number and value of buildings per acre, food services, resident population, composition of households, and unemployment rates.

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--2015-06-30

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

Aggregate Data, Regions of Russia (RoR), 1990-2010 (ICPSR 35355)

Released/updated on: 2014-10-14

Geographic coverage: Global, Russia

Time period: 1990-01-01--2010-12-31

The "Aggregate Data, Regions of Russia (RoR), 1990-2010" study is a collection of aggregate statistical data for the Russian regions, made available in English. It includes a large range of variables that characterize a wide scope of economic and social factors for the period from 1990 to 2010. This collection comprises data from 82 regions of Russia on topics including trade, production, demography, labor, investment, climate, crime, education, health care, culture, banks, insurance, services, communication, and many industries.

Curated

Southern Agricultural Households in the United States, 1880 (ICPSR 9430)

Released/updated on: 2007-09-19

Geographic coverage: North Carolina, Mississippi, United States, Texas, Tennessee, Georgia, Alabama, Florida, Virginia, Arkansas, South Carolina

Time period: 1879-01-01--1880-12-31

This data collection describes the organization of agriculture and the operation of the Southern economy following the Civil War, with emphasis on the relationship between race and tenure status of farm operators. Economic and agricultural data were compiled from the 1880 Census of Agriculture. Information provided includes the location of the farm (region, state, county, and enumeration district), tenure of the farm operator, number of acres in tillage, meadows, woodland, and other uses, type of crops being farmed and production figures, and the number of various livestock (horses, mules, oxen, cows, sheep, and swine). Additionally, data are presented on the value of the farm, farm implements, livestock, and farm products, and costs associated with fences, fertilizer, and wages. Demographic information drawn from the 1880 Census of Population includes the race, literacy, age, and birthplace of the farm operator, number of people living in the house, and number of people working on the farm.

Curated

State Farms in European Russia, 1917: Districts and Provinces (ICPSR 8377)

Released/updated on: 2006-01-18

Geographic coverage: Global, Soviet Union, Russia

Time period: 1917-01-01--1917-12-31

This data collection aggregates district- and province-level data from the All-Russian Agricultural and Land Census of 1917 to provide indicators of farm management, production, and consumption in revolutionary European Russia. Information is provided on two models of collective land management and agricultural organization that existed in European Russia between the revolutions of 1905 and 1917. The data allow for analysis of agricultural organization and resource allocation in both private and state enterprises. The study is available in two parts. Part 1, Province Level, contains data on 21 provinces only. Part 2, District Level, contains information on 332 districts and 37 provinces. Districts comprising the provinces in Part 1 are also contained in Part 2. Information is provided on the same 26 variables in both parts. The variables include the portion of privately-owned farms with unsown areas for crops, the portion of privately-owned farms without any livestock, the portion of privately-owned farms without working livestock, the portion of privately owned farms with land for rent, the number of hired workers on the farms with land for rent, the amount of arable land on one property (measured in desyatina, which is roughly equal to 2.7 acres), the amount of sown area on one property (in desyatina), the amount of ploughed field on one property, the quantity of hired labor on one property, the quantity of working livestock on one property, the quantity of productive livestock on one property, the number of ploughs per farm property, the number of farming-related working tools on one property, the number of hired workers per desyatin of sown land, the number of working livestock per desyatin of sown land, the number of productive livestock per desyatin of sown land, the number of ploughs per desyatin of sown land, the number of farming-related working tools per desyatin of sown land, the share of ploughs per privately-owned, arable landholdings, the portion of hayfields per privately-owned, arable landholdings, the portion of forested area per privately-owned, arable landholdings, the portion of sown area per privately-owned, arable landholdings, the portion of privately-owned crops in the entire sown area, the portion of privately-owned, arable land in the total area of arable land, the percentage of privately-owned sown area tilled at own expense, and the share of sown grassland in the entire sown area under private ownership.

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--2000-12-31

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

Great Plains Population and Environment Data: Agricultural Data, 1870-1997 [United States] (ICPSR 4254)

Released/updated on: 2005-06-22

Geographic coverage: Montana, United States, Wyoming, Oklahoma, South Dakota, Minnesota, Kansas, Nebraska, Iowa, New Mexico, Texas, Colorado, North Dakota

Time period: 1870-01-01--1997-12-31

The data in this series of studies were assembled by an interdisciplinary research team led by Myron Gutmann of the University of Michigan between 1995 and 2004, as part of a research project funded by the National Institute of Child Health and Human Development (Grant Number R01HD033554 to the University of Michigan). The goal of the project was to amass information about approximately 500 counties in 12 states of the Great Plains of the United States, and then to analyze those data in order to understand the relationships between population and environment that existed between the years of about 1870 and 2000. The data distributed here are all data about counties. They fall into four broad categories: about the counties, about agriculture, about demographic and social conditions, and about the environment. The information about counties (name, area, identification code, and whether the project classified the county as part of the Great Plains in a given year) is embedded in each of the other data files, so that there will be three series of data (agriculture, demographic and social conditions, and environment), containing individual data files for each year for which data are available. The United States Census of Agriculture has been conducted since 1850 on a regular schedule that was decennial until 1920, and more frequently thereafter (every five years from 1925 to 1950, then in 1954, 1959, 1964, 1978, and every five years since 1982). The agricultural data included in this collection consist of a single data file for each agricultural census year between 1870 and 1997 that includes selected material compiled as part of the United States Agricultural Census. The county-level agricultural data produced by the United States government as part of the census constitute a consistent series of measures of changing agriculture and land use.

Curated

Massachusetts Tax Valuation Records, 1771 (ICPSR 7734)

Released/updated on: 1992-02-16

Geographic coverage: United States, Massachusetts

Time period: 1771-01-01--1771-12-31

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

Southern Farms Study, 1860 (ICPSR 7419)

Released/updated on: 1992-02-16

Geographic coverage: United States

Time period: 1860-01-01--1860-12-31

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.

Curated

Agrarian Typology of Provinces of European Russia at the Turn of the 20th Century (ICPSR 8380)

Released/updated on: 1992-02-16

Geographic coverage: Global, Soviet Union, Russia

Time period: 1900-01-01--1900-12-31

This collection consists of data describing agricultural organization, production, and land management in 50 provinces of European Russia at the turn of the century. Data are derived from the first universal Russian census of population (1897), statistics on landowners (1905), and the Cavalry Censuses of 1896 and 1899-1900. The agricultural model is presented in terms of the number of agricultural workers per place of employment, land allotment per capita, ratio of land leased to peasants to investment property, per capita collection of crops and sown area, productivity of livestock, and cost of land and crops.