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Cotton ginned by counties.
Historians of the nineteenth-century rural South have long distinguished the antebellum agricultural system of plantations and gang-style slave labor from the family tenancy system that is thought to have developed only after the Civil War. In Farm Tenancy and the Census in Antebellum Georgia, however, Frederick Bode and Donald Ginter demonstrate a far greater consistency in economic traditions than many historians have recognized. Through a detailed critical interpretation of the 1860 federal census, Bode and Ginter show that extensive family tenancy, and probably sharecropping, were not the creations of Emancipation and Reconstruction, but instead were widely present before the upheaval of the Civil War. Bode and Ginter's analysis of the 1860 census reveals a complex rural economy of plantation owners, slaves, and yeoman and tenant farmers. Though census agents lacked a category for reporting tenant farmers and therefore often devised their own methods for recording land tenure, Bode and Ginter examine the agricultural and population schedules to reveal coherent regional patterns of tenancy. In older areas of greater cotton cultivation, tenant farmers were relatively scarce; in areas of recently cleared land within the cotton belt, and even more strikingly in the upcountry, tenant farming was pervasive. Bode and Ginter's findings not only demonstrate the presence of antebellum tenant farmers and sharecroppers but also dispel the current conception of yeoman farmers reduced to tenancy on their return from the battlefields of the Civil War. They show, finally, how new regional patterns of tenancy followed the demise of slavery. Probing the shifting relations between races and social classes in the nineteenth-century rural South, Farm Tenancy and the Census in Antebellum Georgia revises the dominant scholarly view of the region's social and economic history by carefully measuring the true extent of the changes brought by the Civil War.
Agricultural Statistics is published each year to meet the diverse need for a reliable reference book on agricultural production, supplies, consumption, facilities, costs, and returns. Its tables of annual data cover a wide variety of facts in forms suited to most common use. The estimates for crops, livestock, and poultry made by the U.S. Department of Agriculture are prepared mainly to give timely current state and national totals and averages. They are based on data obtained by sample surveys of farmers and of people who do business with farmers. The survey data are supplemented by information from the Census of Agriculture taken every five years. Being estimates, they are subject to revision as more data become available from commercial or government sources. Unless otherwise indicated, the totals for the United States shown in the various tables on area, production, numbers, price, value, supplies, and disposition are based on official Department estimates. They exclude states for which no official estimates are compiled. Extensive data includes statistics for the following: -Grain and Feed -Cotton, Tobacco, Sugar Crops, and Honey -Oilseeds, Fats, and Oils -Vegetables and Melons -Hay, Seeds, and Minor Field Crops -Cattle, Hogs, and Sheep -Dairy and Poultry -Insurance, Credit & Cooperatives -Agricultural Conservation & Forestry -Consumption & Family Living -Fertilizers & Pesticides Miscellaneous Agricultural Statistics such as Foreign Agricultural Trade Statistics including exports, fisheries and more. Professionals in the following fields to include farmers, ranchers, soil conservationists, surveyors, agricultural economist consultants, livestock manufacturers, livestock feedlot operators, food distributors, animal scientists, food chemists, food brokers, farm and land appraisers (and more) may have the greatest interest in this volume.
FAO has supported member countries to carry out their national agricultural censuses since 1945, through the development and dissemination of international standards, concepts, definitions and methodologies as well as technical assistance. In 2015, FAO published Volume 1 of the World Programme for the Census of Agriculture 2020 (WCA 2020) “Programme, concepts and definitions”, the tenth decennial programme that provides guidelines for implementation of national agricultural censuses in the 2016-2025 decade. Volume 1 deals with the methodological and conceptual aspects of the census of agriculture. In addition to the use of international standards, the proper conduct of an agricultural census also depends on adequate planning, implementation, use of resources and quality assurance throughout all stages of the census. In light of this, Volume 2 of WCA 2020 “Operational guidelines” has been designed to guide national census practitioners responsible for conducting the agricultural census. It deals with the practical steps involved in actually conducting an agricultural census in the field. Volume 2 is a revised and updated edition of “Conducting Agricultural Censuses and Surveys”, published by FAO in 1996. The revision is opportune not only in view of the recent publication of the new census programme and methodology but also in view of the substantial changes witnessed in the census technological environment over the last two decades. The availability of digital, mobile and more affordable tools for data capture, geo-positioning, remote sensing imaging, digital archiving and online dissemination have provided new cost-effective alternatives to traditional ways of conducting the agricultural census.
Provides 2003 data that supplements basic irrigation date collected from all farm and ranch operators in the 2002 Census of Agriculture.
First annual report of the agricultural bureau of the department of agriculture, insurance, statistics, and history, 1887-88.
The National Agricultural Statistics Service (NASS) is the primary statistical data collection agency within the U.S. Department of Agriculture (USDA). NASS conducts hundreds of surveys each year and prepares reports covering virtually every aspect of U.S. agriculture. Among the small-area estimates produced by NASS are county-level estimates for crops (planted acres, harvested acres, production, and yield by commodity) and for cash rental rates for irrigated cropland, nonirrigated cropland, and permanent pastureland. Key users of these county-level estimates include USDA's Farm Services Agency (FSA) and Risk Management Agency (RMA), which use the estimates as part of their processes for distributing farm subsidies and providing farm insurance, respectively. Improving Crop Estimates by Integrating Multiple Data Sources assesses county-level crop and cash rents estimates, and offers recommendations on methods for integrating data sources to provide more precise county-level estimates of acreage and yield for major crops and of cash rents by land use. This report considers technical issues involved in using the available data sources, such as methods for integrating the data, the assumptions underpinning the use of each source, the robustness of the resulting estimates, and the properties of desirable estimates of uncertainty.
Agricultural Statistics: A Handbook for Developing Countries presents the development of agricultural statistics in various countries of Africa and Asia. This book provides a guideline to those in charge of agricultural statistics in developing countries to know their priorities and to have clear objectives. Organized into 14 chapters, this book begins with an overview of the importance of regular collection of agricultural statistics to the functioning of the community as well as for its agriculture and agricultural development. This text then examines the improvement of methods of collection of existing statistics for greater dependability. Other chapters consider the yield rates and areas of crop production. This book discusses as well the direct estimation of production, which consists of large estates with their processing plants meant for processing their products only. The final chapter deals with the various organizational set-ups for the compilation of agricultural statistics. This book is a valuable resource for agriculturists and statisticians.