These files from Statistics Canada present Census of Agriculture data allocated by standard census geographic polygons: Provinces and Territories (PR), Census Agricultural Regions (CAR), Census Divisions (CD) and Census Consolidated Subdivisions (CCS). Five datasets are provided: 1. Agricultural operation characteristics: includes information on farm type, operating arrangements, paid agricultural work and financial characteristics of the agricultural operation. 2. Land tenure and management practices: includes information on land use, land tenure, agricultural practices, land inputs, technologies used on the operation and the renewable energy production on the operation. 3. Crops: includes information on hay and field crops, vegetables (excluding greenhouse vegetables), fruits, berries, nuts, greenhouse productions and other crops. 4. Livestock, poultry and bees: includes information on livestock, poultry and bees. 5. Characteristics of farm operators: includes information on age, sex and the hours of works of farm operators. Note: For all the datasets, confidential values have been assigned a value of -1. Correction notice: On January 18, 2023, selected estimates have been corrected for selected variables in the following 2021 Census of Agriculture domains: Direct sales of agricultural products to consumers (Agricultural operations category), Succession plan for the agricultural operation (Agricultural operators category), and Renewable energy production (Use, tenure and practices category).

Abstract

For 156 years (1840 - 1996), the U.S. Department of Commerce, Bureau of the Census was responsible for collecting census of agriculture data. The 1997 Appropriations Act contained a provision that transferred the responsibility for the census of agriculture from the Bureau of the Census to the U.S. Department of Agriculture (USDA), National Agricultural Statistics Service (NASS). The 2007 Census of Agriculture is the 27th Federal census of agriculture and the third conducted by NASS. The first agriculture census was taken in 1840 as part of the sixth decennial census of population. The agriculture census continued to be taken as part of the decennial census through 1950. A separate middecade census of agriculture was conducted in 1925, 1935, and 1945. From 1954 to 1974, the census was taken for the years ending in 4 and 9. In 1976, Congress authorized the census of agriculture to be taken for 1978 and 1982 to adjust the data reference year so that it coincided with other economic censuses. This adjustment in timing established the agriculture census on a 5-year cycle collecting data for years ending in 2 and 7. Agriculture census data are used to:

• Evaluate, change, promote, and formulate farm and rural policies and programs that help agricultural producers; • Study historical trends, assess current conditions, and plan for the future; • Formulate market strategies, provide more efficient production and distribution systems, and locate facilities for agricultural communities; • Make energy projections and forecast needs for agricultural producers and their communities; • Develop new and improved methods to increase agricultural production and profitability; • Allocate local and national funds for farm programs, e.g. extension service projects, agricultural research, soil conservation programs, and land-grant colleges and universities; • Plan for operations during drought and emergency outbreaks of diseases or infestations of pests. • Analyze and report on the current state of food, fuel, feed, and fiber production in the United States.

Geographic coverage

National coverage

Analysis unit

Households

Universe

The statistical unit for the CA 2012 was the farm, an operating unit defined as any place from which USD 1 000 or more of agricultural products were produced and sold, or normally would have been sold, during the census year.

Kind of data

Census/enumeration data [cen]

Sampling procedure

i. Methodological modality for conducting the census The classical approach was used in the CA 2012.

ii. Frame NASS maintains a list of farmers and ranchers from which the CML is compiled.

iii. Complete and/or sample enumeration methods The CA 2012 was an enumeration of all known agricultural holdings meeting the USDA definition of a farm.

Mode of data collection

Mail Questionnaire [mail]

Research instrument

Seven regionalized versions of the main report form (questionnaire) were used for the CA 2012. The report form versions were designed to facilitate reporting on the crops most commonly grown within each report form region. Additionally, an American Indian report form was developed to facilitate reporting for operations on reservations in Arizona, New Mexico and Utah. All of the forms allowed respondents to write in specific commodities that were not listed on their form.

• Land owned
• Land use
• Irrigation
• Conservation programs and crop insurance
• Field crops
• Bananas, coffee, pineapples and plantain crops
• Hay and forage crops
• Nursery, Greenhouse, Floriculture, Sod and tree seedlings
• Vegetables and melons
• Hydroponic crops
• Fruit
• Root crops
• Cattle and calves
• Poultry
• Hogs and pigs
• Aquaculture
• Other animals and livestock products
• Value of sales
• Organic agriculture
• Federal and commonwealth agricultural program payments
• Income from farm-related sources
• Production expenses
• Farm labour
• Fertilizer and chemicals applied
• Market value of land and buildings
• Machinery, equipment and buildings
• Practices
• Type of organization
• Operator characteristics

The CA 2012 covered all 16 core items recommended to be collected in the WCA 2010. See questionnaire in external materials.

Cleaning operations

1. DATA PROCESSING AND ARCHIVING The completed forms were scanned and Optical Mark Recognition (OMR) was used to retrieve categorical responses and to identify the other answer zones in which some type of mark was present. The edit system determined the best value to impute for reported responses that were deemed unreasonable and for required responses that were absent. The complex edit ensured the full internal consistency of the record. After tabulation and review of the aggregates, a comprehensive disclosure review was conducted. Cell suppression was used to protect the cells that were determined to be sensitive to a disclosure of information.

2. CENSUS DATA QUALITY NASS conducted an extensive program to follow-up all non-response. NASS also used capture-recapture methodology to adjust for under-coverage, non-response, and misclassification. To implement capture-recapture methods, two independent surveys were required --the 2012 Census of Agriculture (based on the Census Mail List) and the 2012 June Agricultural Survey (based on the area frame). Historically, NASS has been careful to maintain the independence of these two surveys.

Data appraisal

The complete data series from the 2012 Census of Agriculture is available from the NASS website free of charge in multiple formats, including Quick Stats 2.0 - an online database to retrieve customized tables with Census data at the national, state and county levels. The 2012 Census of Agriculture provides information on a range of topics, including agricultural practices, conservation, organic production, as well as traditional and specialty crops.

Census of Agriculture, 1991 to date. Characteristics of farm operators: sex, age and paid non-farm work.

Census of Agriculture, 1921 to date. Total farm area, land in crops, summerfallow land, tame or seeded pasture and all other land.

Abstract

The Census Agropecuario Nacional 2008 (CAN 2008), provides an updated diagnosis of the sector. The study aims to establish useful parameters that will allow to learn more about the reality of the agricultural situation in Paraguay. The results presented at the country level will be compared with the data of the 1991 National Agricultural Census (CAN 1991) in order to facilitate comparison and analysis of the information; at that level it presents the variation in percentage (%). In addition, the edition of information by size of farms, region and departments.

Geographic coverage

National coverage

Analysis unit

Households

Universe

The statistical unit was the agricultural holding, defined as all land wholly or partly used for agricultural production and operated as one technical unit under a single management or together with others, without regard to title, legal form, size or location. Two types of holdings are included in the definition: those "with land" (conventional holdings) and those "without land", for which the land is not a substantial input for production and the holdings are engaged in livestock farming.

Kind of data

Census/enumeration data [cen]

Sampling procedure

i. Methodological modality for conducting the census The CA 2008 was carried out using the classical approach. The census enumeration was conducted in two stages, to ensure full coverage.

ii. Frame The census frame was the cartography prepared in the pre-census phase.

iii. Complete and/or sample enumeration methods A complete enumeration of holdings above the established thresholds was used in the CA 2008.

Mode of data collection

Face-to-face [f2f]

Research instrument

One questionnaire was used for data collection on:

(a) Agricultural farm (b) Agricultural activity (c) Estate farms (d) Agricultural producer

The CA 2008 covered 14 of the 16 core items recommended in the 2010 WCA. The following core items were not covered by the CA: (i) "Presence of aquaculture on the holding" (ii) "Presence of irrigation on the holding"

Cleaning operations

(a) DATA PROCESSING AND ARCHIVING Data entry was done manually, by the recruited operators. Validation was carried out using a computer data validation program. Imputations were done by means of automatic allocation, based on the means of district production averages. The SPSS programme was used, based on the tabulated design of the 1991 census for comparability. The archives are placed on a central server and are managed through networks.

(b) CENSUS DATA QUALITY A PES was conducted in February 2009 in four departments and seven districts to evaluate the quality of the data.

Here we provide information for the DESIS and PRISMA Derived Spectral Library of Agricultural Crops in California which was developed using DESIS and PRISMA hyperspectral data acquired for 2020. The DESIS images used for this dataset are available through the German Aerospace Center and Teledyne Brown (2022). PRISMA images are available through the Italian Space Agency (ASI) (2022). The crop type data and confidence layer for the year 2020 can be accessed through the USDA National Agricultural Statistics Service (2022). The DESIS and PRISMA Derived Spectral Library of Agricultural Crops dataset characteristics are described below, with DESIS and PRISMA data provided in two separate CSV files. Related Primary Publication: Aneece, I.P., and Thenkabail, P.S., 2022, New generation hyperspectral sensor (DESIS and PRISMA) performances in agriculture.

Census of Agriculture, 2016. Farms reporting technologies used on the operation in the year prior to the census.

The Census of Agriculture is disseminated by Statistics Canada's standard geographic units (boundaries). Since these census units do not reflect or correspond with biophysical landscape units (such as ecological regions, soil landscapes or drainage areas), Agriculture and Agri-Food Canada in collaboration with Statistics Canada's Agriculture Division, have developed a process for interpolating (reallocating or proportioning) Census of Agriculture information from census polygon-based units to biophysical polygon-based units. In the “Interpolated census of agriculture”, suppression confidentiality procedures were applied by Statistics Canada to the custom tabulations to prevent the possibility of associating statistical data with any specific identifiable agricultural operation or individual. Confidentiality flags are denoted where "-1" appears in data cell. This indicates information has been suppressed by Statistics Canada to protect confidentiality. Null values/cells simply indicate no data is reported.

This data release provides preliminary estimates of annual agricultural use of pesticide compounds in counties of the conterminous United States, for the year 2018, compiled by means of methods described in Thelin and Stone (2013) and Baker and Stone (2015). For all States except California, U.S. Department of Agriculture county-level data for harvested-crop acreage were used in conjunction with proprietary Crop Reporting District-level pesticide-use data to estimate county-level pesticide use. Where Crop Reporting District data were not available or were incomplete, estimated pesticide-use values were calculated with two different methods, resulting in a low and a high estimate based on different assumptions about missing survey data (Thelin and Stone, 2013). Pesticide-use data for California were obtained from the California Department of Pesticide Regulation Pesticide Use Reporting (DPR–PUR) database (California Department of Pesticide Regulation, 2020). The California county data were appended after the estimation process was completed for the rest of the Nation. Preliminary estimates in this dataset may be revised upon availability of updated crop acreages in the 2022 Agricultural Census, expected to be published by the U.S. Department of Agriculture in 2024. Estimates of annual agricultural pesticide use are provided as downloadable, tab-delimited files, organized by compound, year, state Federal Information Processing Standard (FIPS) code, county FIPS code, and amount in kilograms. Tables of annual agricultural pesticide-use estimates beginning in 1992 are available for download on the Pesticide National Synthesis Project webpage: https://doi.org/doi:10.5066/F7NP22KM. References cited: Baker, N.T., and Stone, W.W., 2015, Estimated annual agricultural pesticide use for counties of the conterminous United States, 2008–12: U.S. Geological Survey Data Series 907, 9 p., accessed July 12, 2015, at https://doi.org/10.3133/ds907. California Department of Pesticide Regulation, 2020, Pesticide use reporting (PUR): California Department of Pesticide Regulation Pesticide Use Reporting (PUR), Pesticide Use Report Data (PUR archives pur2018.zip), accessed December 29, 2020, at http://www.cdpr.ca.gov/docs/pur/purmain.htm. Thelin, G.P., and Stone, W.W., 2013, Estimation of annual agricultural pesticide use for counties of the conterminous United States, 1992–2009: U.S. Geological Survey Scientific Investigations Report 2013–5009, 54 p., accessed July 12, 2015, at http://pubs.usgs.gov/sir/2013/5009/.

Census of Agriculture, 2021. Farms classified by the North American Industry Classification System (NAICS).

The 1966 Census of Agriculture was taken on June 1, 1966. A census farm is defined in the 1966 Census of Agriculture as an agricultural holding of one acre or more with sales of agricultural products during the past 12 months of $50 or more. All tabulated data are subject to confidentiality restrictions prior to release. Due to confidentiality constraints, data for those geographic areas with very few agricultural operations are not released separately, but rather merged with a geographically adjacent area.

Financial overview and grant giving statistics of California Agricultural Irrigation Association

Abstract

In the past, the census of agriculture has aimed to provide data on the structure of agricultural holdings, with attention given to providing data for small administrative units and other detailed cross-tabulations of structural characteristics. Agricultural censuses have also been used to provide benchmarks to improve current crop and livestock statistics and to provide sampling frames for agricultural sample surveys. Previous agricultural censuses have focused on the activities of agricultural production units; that is, households or other units operating land or keeping livestock. They have not been seen as censuses of rural households.

This census is conducted to collect data needed by the government to make sound planning concerning the production of the agricultural produce.

Geographic coverage

Regional coverage

Analysis unit

Households

Universe

The agricultural holding is the enumeration unit, "comprising all land used and all livestock kept wholly or partly for agricultural production purposes. An individual or household may exercise management, jointly by two or more individuals or households, or by a juridical person such as a corporation, cooperative or government agency". The CA 2012/2013 covered the holdings in the household and the non-household sectors.

Kind of data

Census/enumeration data [cen]

Sampling procedure

Enumeration area (EA): The 2012/13 Agricultural Census uses the maps of the previous population census enumeration areas (EAs). These maps divide the rural areas into E.A's. Identifying boundary features on land are roads, mountain ranges, and railway lines, etc. This was used to form EA boundaries. Each EA consists of a number of homesteads. For the purpose of agricultural census, these E.A's are verified. Normally in the agricultural census, an enumerator is assigned, at most, two E.A's or more. The EA is used as Primary Sampling Unit (PSU). The CA was a combination of: (i) a complete enumeration for certain items (in the first phase) and (ii) a sample enumeration of holdings for the items related to area and yield measurements and "general agricultural enquiries" (in the second phase). The census frame was built based on the EAs established for the Population and Housing Census (PHC) 2007.

Mode of data collection

Face-to-face [f2f]

Research instrument

One questionnaire with different modules was used for the holdings. Of the 16 core items required by the WCA 2010, the CA questionnaire covered 13 items.

(a) Holding location. (b) Legal status of holder. (c) Purpose of production. (d) Integration of holding with enterprises engaged in other economic activity (ies). (e) Basic demographic characteristics of holder and household. (f) Inventory of production factors: - Source of manpower used on the holding (family workers, hired agricultural workers); - Number and area of land parcels; - Area by land use; - Area harvested, by crop; - Number of cultivated trees by crop; - Number of livestock by type; - Type of machinery and equipment used; - Number of forest trees on the holding; - Agricultural buildings; (g) Tenure arrangements for production factors: - Land tenure; - Source of machinery and equipment used; (h) Other features: - Shifting cultivation; - Use of irrigation; - Drainage; - Fertilizers; - Pesticides; - High variety seeds; (i) Fishery or forestry activities if carried out on a holding; (j) Livestock system.

Cleaning operations

a. DATA PROCESSING AND ARCHIVING Manual data entry and editing (such as range and consistency edits, and imputations) were done using CSPro software. Tables were generated and edited using, respectively, CSPro and Microsoft Excel.

b. CENSUS DATA QUALITY The fieldwork was organized in several phases, to ensure the quality of the data collected. An enumerator was responsible for data collection in three EAs established for the PHC 2007, according to an adjusted workload. S/he was part of a team of ten enumerators, supervised by a field supervisor, who checked the coherence and quality of each filled questionnaire.

Data appraisal

Dissemination workshops were organized to release the census results. At the time of publication, the CA report with the final results had not yet been released.

Abstract

The 2002 Census of Agriculture (CA 2002) is a large-scale government operation geared towards the collection and compilation of statistics in the agriculture sector of the country. The collected data will constitute the bases from which policymakers and planners will formulate plans for the country's development.

The following were the objectives of CA 2002:

1. To determine the structure and characteristics of agricultural holdings;
2. To determine the number and distribution of households and enterprises engaged in agriculture and to gather information on the operation of these households and enterprises;
3. To provide the basis for sampling frame for other statistical undertakings; and
4. To provide basic data for use in national as well as sub-national development planning.

Specifically, it aims to: 1. Obtain comprehensive data on farm characterisitcs such as size, location, tenure status, irrigation system, crops planted, livestock/poultry raised, etc.; 2. Determine the type and number of equipment, machineries and facilities used in the operation of agricultural activities whether owned or rented; and 3. Provide benchmarks for the various statistical series which are designed to measure progress in agriculture.

Major findings include the following: 1. Central Visayas accounted for the highest number of farms but Bicol Region had the biggest farm area. 2. Almost all farms in the country were operated individually. 3. Most farms were owned by the agricultural operators. 4. More than half of the farms in the country were under temporary crops. 5. Palay remained as the major temporary crop in the country. 6. Coconut also remained as the dominant permanent crop. 7. Individual system irrigation was the most common in the country. 8. Number of hogs reared and tended increased by 1.1 milliion heads. 9. Raising of chicken was the prevalent poultry raising activity. 10. Ornamental and flower gardening (excluding orchid) was also common in the country. 11. Male operators dominated the agriculture sector. 12. Almost 80 percent of the household members engaged in agricultural activity were working in own agricultural holding. 13. Plow was the most common farm equipment in the country.

Geographic coverage

National Coverage

Analysis unit

Households

Universe

The census covered all households, agricultural operators, and agricultural establishments.

Kind of data

Census/enumeration data [cen]

Sampling procedure

The CA 2002 adopted a one-stage stratified systematic sampling design where selection of sample barangays was done by city/muncipality (by district for the National Capital Region or NCR) and by stratum. However, for the provinces of Laguna, Isabela, Bukidnon, and Batanes, a full sample-census was adopted.

Except for the cities/municipalities of the full-sample barangays, all cities/municipalities (6 districts for NCR) were treated as domains and the barangays as the ultimate sampling units. The six districts of NCR are as follows: NCR I - Manila; NCR II - Quezon City; NCR III - San Juan, Cities of Mandaluyong, Marikina and Pasig; NCR IV - Malabon, Navotas, Cities of Kalookan and Valenzuela; NCR V - Pateros, Taguig and Makati City; and NCR VI - Cities of Pasay, Las Piñas, Muntinlupa, Parañaque

The sampling frame was based on the list of barangays taken from the results of the 2000 Census of Population and Housing (Census 2000) as of June 2002.

In each domain, all barangays were grouped into three strata, as follows: Stratum 1 - Barangays with the largest Total Farm Area (TFA) in the municipality based on the 1991 Census of Agriculture and fisheries (CAF) Stratum 2 - All other sample barangays of the 1991 CAF Stratum 3 - All other barangays in the sampling frame

The 1991 sample barangays in each domain were ranked by descending values of TFA. The barangays with the largest TFA in 1991, referred to as the certainty barangays, were included in Stratum 1. In cases where the certainty barangay was split into two or more barangays as a result of the creation of a new barangay (as of June 2002 master list of barangays), the new barangay was also treated as a certainty barangay. Sample barangays of the 1991 CAF not included in Stratum 1 were assigned in Stratum 2. Barangays with no TFA because they were not samples during the 1991 CAF were arranged in ascending order of the total number of households based on Census 2000. These barangays were assigned in Stratum 3.

All barangays in Stratum 1 were automatically taken as samples. Sample barangays in Strata 2 and 3 were systematically selected using a 25-percent sampling rate, except for NCR. The sampling rates for NCR were 50 percent and 10 percent for Stratum 2 and Stratum 3, respectively. In each sampled barangay, all households were covered.

All agricultural establishments identified in the 2002 List of Establishments, whether or not located in the sample barangays of CA 2002, and new agricultural establishments in the sample barangays during the enumeration of CA 2002, were enumerated.

Mode of data collection

Face-to-face paper [f2f]

Cleaning operations

The accomplished census forms undergone several stages of data editing. These stages include the following:

1. Field editing which consisted of checking of consistency, correctness and completness of entries while in the field.
2. Manual Processing of accomplished questionnaires at the Provincial Offices where the following were done: a. Verification of geographic identification and completeness of forms b. Checking for legibility of entries c. Coding
3. Machine Processing which includes machine validation, consistency checking and completeness checking of entries.

Sampling error estimates

In order to provide a basis for assessing the reliability or precision of CA estimates, the estimation of the magnitude of sampling error in the census data was undertaken by the NSO for the 2002 CA. The standard error (SE) and coefficient of variation (C.V.) were used as measures of sampling error.

Statistics Canada conducts the Census of Agriculture every five years at the same time as the Census of Population. The most recent Census of Agriculture was on May 15, 2006.The Census of Agriculture collects and disseminates a wide range of data on the agriculture industry such as number and type of farms, farm operator characteristics, business operating arrangements, land management practices, crop areas, numbers of livestock and poultry, farm capital, operating expenses and receipts, and farm machinery and equipment. These data provide a comprehensive picture of the agriculture industry across Canada every five years at the national and provincial levels as well as at lower levels of geography. For current Census of Agriculture data refer to Statisics Canada. The Census of Agriculture is the cornerstone of Canada's Agriculture Statistics Program. Census of Agriculture data are an indispensable public and private sector tool for analysing important changes in the agriculture and food industries; developing, implementing and evaluating agricultural policies and programs such as farm income safety nets and environmental sustainability; and making production, marketing and investment decisions. Statistics Canada uses the data as benchmarks for its regular surveys on crops, livestock and farm finances between census years. This release contains all farm and farm operator data. See People and Products Catalogue for future releases of other agricultural data products.

The Agri-Environmental Spatial Data (AESD) product from the Census of Agriculture provides a large selection of farm-level variables from the Census of Agriculture and uses alternative data sources to improve the spatial distribution of the production activities. Therefore, the AESD database offers clients the possibility to better analyze the impact of agriculture activities on the environment and produce key indicators, or for any applications where accurate location of activities matters. Variables are offered using two types of physical boundaries: by Soil Landscape of Canada polygons and by Sub-sub-drainage areas (watersheds). The focus of the redistribution of the data is on the field crops and land use variables, but the database includes all census variables related to crops, livestock and management practices. This frame can also be used to extract Census of Agriculture data by custom geographic areas. Also, users interested in this version of the Census of Agriculture database using administrative types of regions can request it. In both cases, please contact Statistics Canada. This file was produced by Statistics Canada, Agriculture Division, Remote Sensing and Geospatial Analysis section, 2022, Ottawa.

The Census of Agriculture is conducted every 5 years with the Census of Canada. The 1871-1911 agricultural censuses for Ontario were compiled from the Census of Canada volumes by Dr. A. Michelle Edwards, University of Guelph. For current Census of Agriculture data, refer to Statistics Canada.

2011 Census of Agriculture farm operator data - Provides basic counts and totals for all 2011 Census of Agriculture farm operator variables.

The 1999 Extraction system of agricultural statistics (ESAS) on CD-ROM, released today, contains an extensive collection of the most requested physical and financial data on farming. The product is a co-operative effort involving Statistics Canada and Agriculture and Agri-Food Canada. This menu-driven software allows users to extract data by Census Agricultural Region, farm type and revenue class. The 1999 version of ESAS contains a full year of new data and a revised user's guide and reference manual. The flexibility of ESAS enables users to reorganize reports, perform calculations and create graphs. Selected tables can be viewed, printed or exported for use in other applications. Whether the subject is dairy production in Quebec or off-farm income in Saskatchewan, ESAS enables users to access all the current and historical agricultural data they need in minutes.

A statistical summary of census farm related data. This data is based on the Census of Agriculture, and includes: * number and area of census farms in Canada and the Provinces * Ontario census farms, broken down by industry, capital value and total farm capital, total gross farm receipts, cropland, and total farm area * number of census farms and farm operators in Canada and the Provinces * number of census farms and farm operators by county * number of census farms by county * classification of Ontario census farms, broken down by size of operation, economic class and total value of sales, industry, and capital value * farmland area classified by use of land and by county * farm capital value by county