The Census of Agriculture, produced by the USDA National Agricultural Statistics Service (USDA), provides a complete count of America's farms, ranches and the people who grow our food. The census is conducted every five years, most recently in 2017, and provides an in-depth look at the agricultural industry.This layer summarizes dairy production from the 2017 Census of Agriculture at the county level.This layer was produced from data downloaded using the USDA's QuickStats Application. The data was transformed using the Pivot Table tool in ArcGIS Pro and joined to the county boundary file provided by the USDA. The layer was published as feature layer in ArcGIS Online. Dataset SummaryPhenomenon Mapped: 2017 Dairy ProductionCoordinate System: Web Mercator Auxiliary SphereExtent: 48 Contiguous United States, Alaska, and HawaiiVisible Scale: All ScalesSource: USDA National Agricultural Statistics Service QuickStats ApplicationPublication Date: 2017AttributesThis layer provides values for the following attributes. Note that some values are not disclosed (coded as -1 in the layer) to protect the privacy of producers in areas with limited production.Cattle - Operations with SalesCattle - Sales in US DollarsCattle - Sales in HeadDairy - Operations with SalesDairy - Sales in US DollarsAdditionally attributes of State Name, State Code, County Name and County Code are included to facilitate cartography and use with other layers.What can you do with this layer?This layer can be used throughout the ArcGIS system. Feature layers can be used just like any other vector layer. You can use feature layers as an input to geoprocessing tools in ArcGIS Pro or in Analysis in ArcGIS Online. Combine the layer with others in a map and set custom symbology or create a pop-up tailored for your users.For the details of working with feature layers the help documentation for ArcGIS Pro or the help documentation for ArcGIS Online are great places to start. The ArcGIS Blog is a great source of ideas for things you can do with feature layers.This layer is part of ArcGIS Living Atlas of the World that provides an easy way to find and explore many other beautiful and authoritative layers, maps, and applications on hundreds of topics.

The Census of Agriculture, produced by the USDA National Agricultural Statistics Service (USDA), provides a complete count of America's farms, ranches and the people who grow our food. The census is conducted every five years, most recently in 2017, and provides an in-depth look at the agricultural industry.This layer summarizes dairy production from the 2017 Census of Agriculture at the county level.This layer was produced from data downloaded using the USDA's QuickStats Application. The data was transformed using the Pivot Table tool in ArcGIS Pro and joined to the county boundary file provided by the USDA. The layer was published as feature layer in ArcGIS Online. Dataset SummaryPhenomenon Mapped: 2017 Dairy ProductionCoordinate System: Web Mercator Auxiliary SphereExtent: 48 Contiguous United States, Alaska, and HawaiiVisible Scale: All ScalesSource: USDA National Agricultural Statistics Service QuickStats ApplicationPublication Date: 2017AttributesThis layer provides values for the following attributes. Note that some values are not disclosed (coded as -1 in the layer) to protect the privacy of producers in areas with limited production.Cattle - Operations with SalesCattle - Sales in US DollarsCattle - Sales in HeadDairy - Operations with SalesDairy - Sales in US DollarsAdditionally attributes of State Name, State Code, County Name and County Code are included to facilitate cartography and use with other layers.What can you do with this layer?This layer can be used throughout the ArcGIS system. Feature layers can be used just like any other vector layer. You can use feature layers as an input to geoprocessing tools in ArcGIS Pro or in Analysis in ArcGIS Online. Combine the layer with others in a map and set custom symbology or create a pop-up tailored for your users. For the details of working with feature layers the help documentation for ArcGIS Pro or the help documentation for ArcGIS Online are great places to start. The ArcGIS Blog is a great source of ideas for things you can do with feature layers. This layer is part of ArcGIS Living Atlas of the World that provides an easy way to find and explore many other beautiful and authoritative layers, maps, and applications on hundreds of topics.

This statistic shows the income made by U.S. farms from dairy products from 2010 to 2022, with a forecast for 2023 and 2024. At the end of 2022, farms' cash receipts from dairy products, that is income, came to around 57.3 billion U.S. dollars.

The Census of Agriculture provides a detailed picture every five years of U.S. farms and ranches and the people who operate them. Conducted by USDA's National Agricultural Statistics Service, the 2012 Census of Agriculture collected more than six million data items directly from farmers. The Ag Census Web Maps application makes this information available at the county level through a few clicks. The maps and accompanying data help users visualize, download, and analyze Census of Agriculture data in a geospatial context. Resources in this dataset:Resource Title: Ag Census Web Maps. File Name: Web Page, url: https://www.nass.usda.gov/Publications/AgCensus/2012/Online_Resources/Ag_Census_Web_Maps/Overview/index.php/ The interactive map application assembles maps and statistics from the 2012 Census of Agriculture in five broad categories:

Crops and Plants – Data on harvested acreage for major field crops, hay, and other forage crops, as well as acreage data for vegetables, fruits, tree nuts, and berries. Economics – Data on agriculture sales, farm income, government payments from conservation and farm programs, amounts received from loans, a broad range of production expenses, and value of buildings and equipment. Farms – Information on farm size, ownership, and Internet access, as well as data on total land in farms, land use, irrigation, fertilized cropland, and enrollment in crop insurance programs. Livestock and Animals – Statistics on cattle and calves, cows and heifers, milk cows, and other cattle, as well as hogs, sheep, goats, horses, and broilers. Operators – Statistics on hired farm labor, tenure, land rented or leased, primary occupation of farm operator, and demographic characteristics such as age, sex, race/ethnicity, and residence location.

The Ag Census Web Maps application allows you to:

Select a map to display from a the above five general categories and associated subcategories. Zoom and pan to a specific area; use the inset buttons to center the map on the continental United States; zoom to a specific state; and show the state mask to fade areas surrounding the state. Create and print maps showing the variation in a single data item across the United States (for example, average value of agricultural products sold per farm). Select a county and view and download the county’s data for a general category. Download the U.S. county-level dataset of mapped values for all categories in Microsoft ® Excel format.

Dairy farming generated more than $3.9 billion in farm sales in 1997. Dairy farming is one of Canada’s most important agricultural activities, ranking first in total farm sales in Quebec, Ontario, and Nova Scotia in 1997. Most of the dairy farms in Canada are in Quebec (37%) and Ontario (33%). In 1996 there were 30 900 farms reporting over 1.2 million dairy cows, a dramatic drop since 1971, when approximately 145 000 farms reported 2.3 million dairy cows. Although the number of cows has steadily declined, milk production has continued to climb. In the 1996 to 1997 dairy year, approximately 77.5 million hectolitres of milk were produced in Canada.

The Census of Agriculture, produced by the United States Department of Agriculture (USDA), provides a complete count of America's farms, ranches and the people who grow our food. The census is conducted every five years, most recently in 2022, and provides an in-depth look at the agricultural industry. This layer was produced from data obtained from the USDA National Agriculture Statistics Service (NASS) Large Datasets download page. The data were transformed and prepared for publishing using the Pivot Table geoprocessing tool in ArcGIS Pro and joined to county boundaries. The county boundaries are 2022 vintage and come from Living Atlas ACS 2022 feature layers.Dataset SummaryPhenomenon Mapped: Milk productionProjection: Web Mercator Auxiliary SphereGeographic Extent: 48 contiguous United States, Alaska, Hawaii, and Puerto RicoSource: USDA National Agricultural Statistics ServiceUpdate Frequency: 5 yearsData Vintage: 2022Publication Date: April 2024AttributesNote that some values are suppressed as "Withheld to avoid disclosing data for individual operations", "Not applicable", or "Less than half the rounding unit". These have been coded in the data as -999, -888, and -777 respectively. You should account for these values when symbolizing or doing any calculations.Commodities included in this layer:Milk - Operations with SalesMilk - Sales, Measured in US Dollars ($) Geography NoteIn Alaska, one or more county-equivalent entities (borough, census area, city, municipality) are included in an agriculture census area.What can you do with this layer?This layer is designed for data visualization. Identify features by clicking on the map to reveal the pre-configured pop-up. You may change the field(s) being symbolized. When symbolizing other fields, you will need to update the popup accordingly. Simple summary statistics are supported by this data.Questions?Please leave a comment below if you have a question about this layer, and we will get back to you as soon as possible.

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

California was the leading U.S. state in terms of the overall number of milk cows, with a total of over 1.7 million milk cows as of 2024. The total number of milk cows on farms in the United States shows that California holds a significant share of the total number of milk cows in the country. Unsurprisingly, California is also the leading milk producing state in the United States. Dairy industry in the U.S. According to the USDA, milk from U.S. farms is 90 percent water, with milk fat and skim solids making up the remaining 10 percent. Cow milk is a component of several dietary staples, such as cheese, butter, and yoghurt. Dairy is a very important industry in the United States, with this sector alone creating significant employment throughout the United States. The overall income of dairy farms in the U.S. amounted to about 51.3 billion U.S. dollars. Holtsein is the most popular breed of dairy cow farmed in the United States. Holstein have the highest milk production per cow in comparison to any other breed. Where is the U.S. positioned in the global dairy market? Topped only by the EU-27, the United States ranks as the second largest cow milk producer in the world, followed by India, Russia, and China. The United States also features among the top ten global milk exporters. The outlook for the future of the industry is also good, with milk production in the United States projected to steadily increase over the next years.

The Farm to School Census measures USDA's progress toward improving access to local foods in schools. The web-based interface allows users to run customized searches using data from the Farm to School Census. From a total of 18,104 public, private, and charter school districts in the target list frame, 12,585 schools and school districts completed usable responses for a response rate of 70%. Visualizations display national and state level data, and explanatory notes for each portion of the survey questionnaire are provided. Users can focus their search by location/state/school district/zip code, participation level, local food purchased category (fruit, vegetables, fluid milk, other dairy, meat/poultry, eggs, seafood, plant-based protein, grains/flour, baked goods, herbs), and sources (purchased directly or through intermediary). Resources in this dataset:Resource Title: Census Data Explorer | USDA-FNS Farm to School Census. File Name: Web Page, url: https://farmtoschoolcensus.fns.usda.gov/census-results/census-data-explorer This searchable database allows users to run customized searches using data from the Farm to School Census.

In 2024, there were ***** dairy farms in Finland. Most dairy farms were located in the region of North Ostrobothnia in Western Finland, followed by North Savo with *** farms. The region of Åland had the lowest number with ** registered dairy farms in 2024.

Census of Agriculture, 2021. Number of cows, bulls, heifers, steers and calves.

This dataset provides livestock data for US Counties within the contiguous US. Census data of cattle, poultry (fowl), hogs, horses and sheep are provided. These data are estimated counts for 1990 based on an average of 1987 and 1992 census data from US Dept. of Agriculture (USDA) Natural Resources Conservation Service (NRCS) and the US Census Bureau.

EOS-WEBSTER provides seven datasets which provide county-level data on agricultural management, crop production, livestock, soil properties, geography and population. These datasets were assembled during the mid-1990's to provide driving variables for an assessment of greenhouse gas production from US agriculture using the DNDC agro-ecosystem model [see, for example, Li et al. (1992), J. Geophys. Res., 97:9759-9776; Li et al. (1996) Global Biogeochem. Cycles, 10:297-306]. The data (except nitrogen fertilizer use) were all derived from publicly available, national databases. Each dataset has a separate DIF.

The US County data has been divided into seven datasets.

US County Data Datasets:

1) Agricultural Management 2) Crop Data (NASS Crop data) 3) Crop Summary (NASS Crop data) 4) Geography and Population 5) Land Use 6) Livestock Populations 7) Soil Properties

This EnviroAtlas dataset summarizes by county the number of farm operations with dairy cows and the number of heads they manage. The data come from the Census of Agriculture, which is administered every five years by the US Department of Agriculture (USDA), and include the years 2002, 2007, 2012, and 2017. The Census classifies cattle managed on operations as beef cows, dairy cows, or other cattle (which encompasses heifers, steers, bulls, and calves). Only data regarding dairy cows are displayed in this layer. Operations are categorized into small, medium, or large, based on how many heads they manage. For each county and Census year, the dataset reports the number of farm operations that manage dairy cows, the number of heads on their property at the end of the Census year, and a breakdown of the operations into small, medium, and large. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Census of Agriculture, 2001 to date. Farms classified by farm type.

Abstract

Agriculture is the predominant activity in the Kingdom of Tonga's economy, contributing more than 17% to the Gross Domestic Product (GDP) in 2012 - 2013. The first ever Agriculture Census of the Kingdom was conducted in 1985. The second Census was conducted in 2001, focusing on land tenure, land utilization, area and production of principal crops, livestock, agricultural implements and equipment, use of fertilizers, etc. including the various agricultural activities in which most of the households were engaged in. Although agriculture is the main factor in the economy of the Kingdom of Tonga, the database in this sector seems to be inadequate. There were quite several surveys conducted for this sector, however, an updated frame (list of holdings/parcels and its characteristics) is needed so these surveys will obtain more reliable estimates. There were important developments in agriculture within the fourteen-year period from the last census that should be captured like the use of forest trees within the farming system to enhance productivity and information on fisheries, which is becoming a very important sector of the Kingdom's economy. Considering the above issues, there is a great need to update the statistics on agriculture in order to determine its present situation and to use it for economic planning and policy-making.

In support of the strategic plans and programmes of the Kingdom of Tonga on agriculture, the Government has decided to conduct the Agriculture Census (AC). This census is envisioned to:

a) Provide benchmark or basic data on structure of agricultural holdings and their main characteristics; b) Use this information to develop a regular system of agricultural statistics; c) Build up some important village level statistics; d) Establish a technical and organizational foundation on which to build up a comprehensive and integrated system of food and agricultural statistics; and e) Provide a frame from which samples can be drawn to study certain aspects of agricultural activities in greater depth. f) Provide information on community (village) statistics.

Geographic coverage

National coverage

Analysis unit

Households

Universe

The Census covered all individuals and households.

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face paper [f2f]

Research instrument

The questionnaire was designed in collaboration between FAO, Ministry of Agriculture and the TNSO. It was designed in such a way that data items were efficiently encoded and processed using the software package CSPro.

The questionnaire was developed in English, but enumerators were specifically trained to be able to clearly translate these questions to other languages and dialect used in the country.

The questionnaires were designed in 13 sub-sections which are:

A. Identification particulars B. Household demographic and economic information C. Household engagement in agricultural subsectors D. Usage of land E. Food crops F. Agricultural practices G. Livestock H. Fisheries I. Forestry J. Handicrafts K. Labour L. Machinery and equipment M. Agricultural income and loan for all subsectors

Information collected for each sub-sections:

Section A: This section basically include the IDs for the households and include: - Village number - Census block - Household number - Sample - Type of holding

Section B: - name - relationship - sex - age - economic activity - educational attainment

Section D: - Bush allotment - Town allotment

Section E: - Exisiting crops - Crops harvested

Section F: - Fertilizer - Pesticides - Irrigation - Community farming

Section G: - Beef cattle - Dairy cattle - Pig - Horse - Sheep - Goat - Chicken - Duck - Dog / Cat - Veterinary services

Section H: - Fishing type - Fish income / sales - Purpose of fishing

Section I: - Number of trees - uses of trees

Section J: - Handicraft materials - Handicrafts sold - Value of handicrafts

Section K / L - Number of laborers - Days worked - Hours worked - Machinery used

Section M: - Income from agriculture - Loans - Drawbacks

Cleaning operations

VERIFICATION AND CODING

The data editing process begins when the completed questionnaires were returned to the national statistics office (NSO) for checking by the coders. This include checking that all fields are correctly filled, skipped pattern are properly followed, missing fields and so forth. Once the questionnaires are verified to be correct, then coding begins where certain variables are coded to their respective codes for capturing in the data entry screen - codes include Village code, Crops and Trees codes.

IN-BUILT EDITING

The data entry application for the 2015 Agriculture Census was designed using the software package CSPro where all necessary checks were incorporated to allow the Data Entry Operators (DEO) to verify data while doing data entry. With all the in-built checks, this ensures capturing good quality data efficiently and effectively. The in-built checks include range checks, skip and filtering questions and consistent and logic checks. With these in-built checks ensures good quality data is captured while entering and this greatly helps in the final batch editing.

SECONDARY EDITING

After the completion of the data entry, the final editing process was done. This include verification of questionnaires that all are captured and the actual running of the batch editing program on the whole data. Since most of the checks were done during the data entry phase, the batch editing process mostly involves verifying those errors that were missed or could not be solved during data entry, checking on those responses which have been coded 'missing' and trying to impute or verify by referring to the respective questionnaire and fixing 'outliers' responses. Frequencies on each variable were also checked to verify any inconsistencies between variables. The batch editing logic program was ren twice when it was decided to finalize the data. Some missing values were not fixed as they were not able to be verified, examples of these are mostly on money values and number of crops/trees.

Response rate

The final national response rate was 89% with 16,122 households enumerated out of the 18,043 total households.

Data appraisal

There were 12 data entry operators, 7 computers and a server used for data entry. The 12 operators took turns in doing data entry as well as coding and verification of questionnaires before they were entered. The data entry was done manually was done in the head office to allow for easy access to the books.

The data entry screen was designed using the CSPro software.

The data entry application was well designed and efficient during the actual data entry as a lot of testing was done during the pilot census. Questionnaires from the pilot census was used to test the application and relevant modifications were done, hence, by the time the actual data processing commences, the application was fully developed and ready. This ensures the capturing of good quality and reliable data from the questionnaires.

TECHNICAL NOTES AND DEFINITIONS 1. Agriculture active household is a household that is active in any of the agriculture activities: cropping; livestock; fisheries; forestry and handicraft. A household is active in any of these agriculture activities if it can be classified into either: subsistence, semi subsistence or commercial. 2. A household is non active in agriculture if it cannot be classified into any of the agriculture activities: cropping; livestock; fishery; forestry or handicraft. 3. Subsistence is a type of agriculture activities (cropping; livestock; fishing; forestry or handicraft making) in which most of the produce is consumed by the farmer and his family, leaving nothing to be marketed. 4. Semi-subsistence is a type of agriculture activities in which some of the produces are to be consumed by the farmer and his family and some of them are to be marketed. 5. Commercial is a type of agriculture activities in which most of the produces are to be marketed. 6. For the 2015 Agricultural Census, the following definition was used to classify the levels of agriculture activities whether it was subsistence; semi-subsistence or commercial.

Crop was based on total cultivated land area a) Subsistence: 0 < and <= 1 acres Semi Subsistence: 1 acres < and <= 8 acres Commercial: > 8 acres

Livestock was based on type and number of livestock kept a) Subsistence: If Milk Cattle or Beef Cattle =1 or Sow = 1 b) Semi Subsistence: If Milk Cattle or Beef Cattle = 2 - 100 or Sow = 2 - 25 c) Commercial: If Milk Cattle or Beef Cattle > 100 or Sow > 25 or Egg layer > 0 or Broiler > 0

Fishery was based households or organizations' response to the question on purpose of their fishing activities; whether it was for subsistence; semi-subsistence or commercial.

Forestry was based on number of high value trees and timber trees that households have grown at the time of the census a) Subsistence: number of trees 1 - 4 b) Semi Subsistence: number of trees 5 - 100 c) Commercial: number of trees 101 - 999

Handicraft was based on proportion of handicraft being sold a) Subsistence: no handicraft sold b) Semi Subsistence: 1% - 75 % sold c) Commercial: 76% - 100% sold

LIMITATIONS A Pilot Census was conducted which the questionnaires received were used to test the data entry application. This allowed to redefine the questionnaires as well as the data entry application to ensure that it everything was efficiently designed to capture reliable data. Like any other census, the 2015 Agriculture Census (AGC) has its own limitations. These are summarized as follows:

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Dairy farming generated more than $3.9 billion in farm sales in 1997. Dairy farming is one of Canada’s most important agricultural activities, ranking first in total farm sales in Quebec, Ontario, and Nova Scotia in 1997. Most of the dairy farms in Canada are in Quebec (37%) and Ontario (33%). In 1996 there were 30 900 farms reporting over 1.2 million dairy cows, a dramatic drop since 1971, when approximately 145 000 farms reported 2.3 million dairy cows. Although the number of cows has steadily declined, milk production has continued to climb. In the 1996 to 1997 dairy year, approximately 77.5 million hectolitres of milk were produced in Canada.

In 2023, there were more than 29 thousand farms in Denmark in total. Many farms produced crops, but a large share had livestock. Especially meat, fur and dairy products are the main agricultural items exported from Denmark. Since 2005, the number of dairy farms in Denmark decreased. While there were nearly 6.3 thousand dairy farms in that year, the number declined to about 2.3 thousand farms in 2023. Cows The number of cows on farms fluctuated only slightly recently, although the number of dairy farms decreased. As of 2023, there were almost 615 thousand cows registered on farms in Denmark. Most of these were dairy cows, as the number amounted to approximately 547 thousand in this year.  Arla Foods Arla Foods amba produces and sells dairy products. It offers milk, milk-based products, cheese, yogurt, butter etc. The Danish company sells its products primarily under the Arla, Lurpak, Castello and Puck brands. In 2023, Arla generated a revenue of roughly 1.3 billion euros in Denmark.

Sweden Agricultural Production: Livestock: Dairy Cows data was reported at 322,000.000 Unit in 2017. This records a decrease from the previous number of 330,800.000 Unit for 2016. Sweden Agricultural Production: Livestock: Dairy Cows data is updated yearly, averaging 448,520.000 Unit from Jun 1981 (Median) to 2017, with 37 observations. The data reached an all-time high of 665,189.000 Unit in 1982 and a record low of 322,000.000 Unit in 2017. Sweden Agricultural Production: Livestock: Dairy Cows data remains active status in CEIC and is reported by Statistics Sweden. The data is categorized under Global Database’s Sweden – Table SE.B025: Agriculture Production.

The number of dairy farms in Finland steadily ********* throughout the period from 2014 to 2024. In 2024, roughly ***** dairy farms were producing milk in Finland, nearly************* as in 2014.

Number of Businesses statistics on the Dairy Farms industry in the US