The average size of farms in the United States has seen a steady increase over the last decade. In 2024, the average farm size reached 466 acres, up from 418 acres in 2007. Between 2006 and 2007 there was a sudden drop in average farm size, but in recent years it has recovered and once again reached the same levels as its peak in 2006. Agriculture in the United States In 2023, there were about 1.9 million farms in the United States, down from 2.2 million in 2007. It appears that as average farm size has increased, the number of individual farms in the United States has decreased. Texas is home to the highest number of farms of any U.S. state, with 231,000 farms as of 2023. Major crops in the United States The United States produces a wide variety of crops. Though the production volumes of some major crops, such as wheat, have fluctuated considerably since 2000, the production of vegetables for processing has been on the rise in recent years. Grapes, apples, and oranges are the most produced fruits in the United States, with the majority of grapes being grown in California.

This statistic shows the average size of U.S. farms from 2019 to 2024, sorted by economic sales class. In 2024, farms belonging to the sales class between 100,000 to 249,999 U.S. dollars had an average size of 799 acres of land.

This statistic depicts the number and average size of farms in the United States from 2012 to 2024. The total number of farms in the U.S. in 1900 was 5,739,657, as compared to1,880,000 in 2024.

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.

The National Agricultural Statistics Service 2012 Census of Agriculture - FarmsPrepared by Larry Heard, NMCDC, larryheard@gmail.comSource: United States Department of Agriculture 2012 Census of Agriculture, http://www.agcensus.usda.gov/The Census of Agriculture provides a detailed picture every five years of U.S. farms and ranches and the people who operate them.Maps and statistics from the 2012 Census of Agriculture are organized into 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.ArcGIS Map Service: http://arcgis-ersarcgism3xl-1157953884.us-east-1.elb.amazonaws.com/arcgis/rest/services/NASS/farms/MapServer

In 2024, there were about 1.88 million farms in the United States. However, the number of farms has been steadily dropping since the year 2007, when there were about 2.2 million farms in the United States. U.S. farms In 2007, the average size of farms in the United States was the smallest it had been since the year 2000. As the number of farms in the United States decrease, the average size of farms increases. Texas, the largest state in the contiguous United States, also contains the highest number of farms, at 231 thousand in 2023. Organic farming in the United States The United States has over 2.3 million hectares of organic agricultural land as of 2021. In 2022, organic food sales in the United States amounted to almost 59 billion euros, making it the largest market for organic food worldwide. In 2021, the number of certified organic farms in the United States reached 17,445, up from about 14,185 farms in 2016.

State fact sheets provide information on population, income, education, employment, federal funds, organic agriculture, farm characteristics, farm financial indicators, top commodities, and exports, for each State in the United States. Links to county-level data are included when available.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Query tool For complete information, please visit https://data.gov.

The precision farming software market is experiencing robust growth, driven by the increasing need for optimized resource utilization and enhanced crop yields in agriculture. A compound annual growth rate (CAGR) of 14% from 2019 to 2024 suggests a significant expansion, indicating a strong market pull towards technology-driven solutions. The market's segmentation reveals a diverse landscape, with crop management, financial management, and farm inventory management software as key application areas. Cloud-based solutions are gaining traction due to their accessibility, scalability, and real-time data capabilities, surpassing the local or web-based software segment in growth rate. Major players like John Deere, Trimble, and others are heavily investing in R&D, resulting in sophisticated software offering advanced analytics and predictive capabilities. The market's regional distribution likely mirrors global agricultural production patterns, with North America and Europe holding substantial market share initially, followed by a rapid expansion in the Asia-Pacific region due to increasing farm mechanization and technological adoption. Further growth is propelled by several factors. The increasing availability of affordable high-speed internet and mobile technologies is expanding the reach of precision farming software to smaller farms and developing countries. Government initiatives promoting digital agriculture are also fueling adoption, alongside the growing demand for sustainable and efficient farming practices to address concerns about climate change and resource scarcity. However, challenges remain, including the high initial investment costs for some software solutions, the digital literacy gap among farmers, and data security concerns. Overcoming these barriers will be crucial for sustaining the market's impressive growth trajectory. The forecast period of 2025-2033 anticipates continuous expansion, with likely shifts in market share among different segments and regions as technology evolves and adoption rates vary. We can project significant increases in market size, potentially reaching several billions of dollars by 2033, based on the sustained CAGR and expanding global demand for efficient agricultural solutions. Recent developments include: January 2022: John Deere introduced a fully autonomous tractor. The machine combined Deere's 8R tractor, TruSet-enabled chisel plow, GPS guidance system, and new advanced technologies, which will help the company expand its footprint in the precision agriculture field., November 2021: CNH Industrial acquired Raven Industries, a leading precision agriculture technology company in the United States, for USD 1.2 billion. This acquisition is expected to help the company invest and innovate in groundbreaking precision agriculture technology., May 2021: John Deere announced the acquisition of autonomous driving technology-based startup Bear Flag Robotics for USD 250 million. This acquisition is expected to help both companies deliver advanced technological solutions to farmers.. Notable trends are: Farm Labor Shortage and Rise in Average Farm Size.

The Oilseed Farming industry produces mainly canola, sunflower and flaxseed, and is small compared with other agriculture sector industries. This causes industry conditions to fluctuate significantly in line with changes in the US agriculture sector based on global and domestic supply conditions. Industry revenue also generally moves in line with changes in the price of oilseeds. Many US farmers can choose to grow other crops, such as corn or soybeans, in any given year depending on expected yields and price, causing drastic fluctuations in the planted acreage and oilseeds harvests. As a result, industry revenue has fluctuated in recent years, largely in line with the price of oilseeds. Overall, industry revenue has grown at an expected CAGR of 6.8% to reach $1.8 billion in 2024, when revenue is set to fall 4.9%. The price of oilseeds has grown at an estimated CAGR of 9.2% leading up to 2024. Growth in the price of oilseeds has been driven by supply chain disruptions stemming from the COVID-19 pandemic, and by Russia's invasion of Ukraine, which has disputed both fuel and oilseed (particularly sunflower) production from both countries. As fuel prices rise, demand for biofuel production increases, supporting growth in industry prices and demand. These same disruptions contributed to higher operating costs, diminishing average industry profit margins. Industry revenue is expected to continue growing only slightly as the price of oilseeds stabilizes and supply chain issues and conflict in Ukraine eventually subsides. Overall, industry revenue is anticipated to increase an a CAGR of 0.6% to $1.9 billion in 2029. This growth is in spite of the price of oilseeds being expected to fall slightly during the same period, as the dollar is expected to depreciate, causing US exports to become more competitive globally, and demand from food manufacturing is expected to continue to rise along with the overall population.

About this dataset

Context

The dataset presents median household incomes for various household sizes in Meadowbrook Farm, KY, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Meadowbrook Farm did not include 5, 6, or 7-person households. Across the different household sizes in Meadowbrook Farm the mean income is $72,061, and the standard deviation is $35,193. The coefficient of variation (CV) is 48.84%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $39,183. It then further increased to $45,038 for 4-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/meadowbrook-farm-ky-median-household-income-by-household-size.jpeg" alt="Meadowbrook Farm, KY median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Meadowbrook Farm median household income. You can refer the same here

This map shows the relationship between Federal payments toward conservation and wetlands and payments toward producers not including conservation/wetlands. The data is produced by the USDA National Agricultural Statistics Service (USDA).Areas in yellow show where there are high amounts of Federal payments toward Conservation in comparison to other types, whereas areas in light blue have a higher amount of Federal payments toward all other agriculture in comparison to Conservation. Areas in black have an overall high amount of both types of payments. The map uses size to emphasize which counties received the overall largest receipts in US dollars.In 2017, the average farm received an average of $13,906, and conservation/wetland programs received and average of $6,980. These are the central colors of the map in order to anchor the map around the national figure. Areas with a pattern above or below the national average are highlighted by the colors along the edges of the legend (mentioned in the previous paragraph). For more information about Federal payments in 2017, visit this summary table from the USDA.For more information about the relationship mapping style used in this map, visit this blog. About the data and source: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 a in-depth look at the agricultural industry.This layer summarizes payments made to producers by the Federal government 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: Payments made to producers by the Federal governmentCoordinate System: Web Mercator Auxiliary SphereExtent: United States including Hawaii and AlaskaVisible 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.Federal Payments - Operations with ReceiptsFederal Payments - Receipts in US DollarsFederal Payments - Receipts in US Dollars per OperationFederal Payments not Including Conservation and Wetland Programs - Operations with ReceiptsFederal Payments not Including Conservation and Wetland Programs - Receipts in US DollarsFederal Payments not Including Conservation and Wetland Programs - Receipts in US Dollars per OperationFederal Payments for Conservation and Wetland Programs - Operations with ReceiptsFederal Payments for Conservation and Wetland Programs - Receipts in US DollarsFederal Payments for Conservation and Wetland Programs - Receipts in US Dollars per OperationConservation and wetland programs include:Conservation Reserve Program (CRP)Wetlands Reserve Program (WRP)Farmable Wetlands Program (FWP)Conservation Reserve Enhancement Program (CREP)Other programs with payments to producers include:2014 Agricultural Act (Farm Bill)Agriculture Risk Coverage (ARC)Price Loss Coverage (PLC)Commodity Credit Corporation (CCC)Loan Deficiency PaymentsDisaster Assistance ProgramsState and local government agricultural program payments and Federal crop insurance payments are not included.Additionally, attributes of State Name, State Code, County Name and County Code are included to facilitate cartography and use with other layers.

The US Farm Equipment Industry size was valued at USD 39.56 Million in 2023 and is projected to reach USD 60.67 Million by 2032, exhibiting a CAGR of 6.30 % during the forecasts periods. This growth is primarily driven by the rising demand for hybrid seeds, which offer superior yield and disease resistance. Government initiatives to promote agricultural innovation and technology adoption, along with increasing food security concerns, have further fueled industry growth. Technological advancements, such as precision farming and autonomous equipment, are transforming operations, enhancing efficiency, and driving demand for farm equipment. Major players in the hybrid seed market include Syngenta, Bayer CropScience, DuPont Pioneer, and Corteva Agriscience. Recent developments include: December 2022: CNH Industrial added new Automation and Autonomy Solutions to the Ag Tech portfolio in Phoenix, Arizona, and the USA. These New Driverless Tillage and Driver Assist Harvest solutions from Raven, and Baler Automation from Case IH and New Holland, can deliver automation and autonomous equipment enhancements and help solve farmers' most significant challenges to increasing productivity., May 2022: AGCO acquired JCA Industries to increase engineering and software development capabilities and to accelerate the development of highly automated and autonomous machines., April 2022: Deere & Company and GUSS Automation formed a joint venture with an LLC in Kingsburg, Calif. Global Unmanned Spray System (GUSS) is a pioneer in semi-autonomous sprayers for orchards and vineyards.. Key drivers for this market are: Low Availability of Skilled Labor, Technological Advancements. Potential restraints include: Increasing Farm Expenditure, Security Concerns in Modern Farming Machinery. Notable trends are: Increasing Average Farm Size.

The United States Precision Farming Software Market size was valued at USD 521.3 Million in 2023 and is projected to reach USD 1000.3 Million by 2032, exhibiting a CAGR of 11.10 % during the forecasts periods. The market is driven by various factors such as the increasing adoption of smart farming practices, technological advancements, government initiatives, and rising food security concerns. Key drivers for this market are: Increasing Legalization of Cannabis, Growing Focus on Health Benefits of Cannabis. Potential restraints include: Lack of Data on Dosages and Results, Lack of Access to Financial Assistance. Notable trends are: Farm Labor Shortage and Rise in Average Farm Size.

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.

This map shows the relationship between Federal payments toward conservation and wetlands and payments toward producers not including conservation/wetlands. The data is produced by the USDA National Agricultural Statistics Service (USDA).Areas in yellow show where there are high amounts of Federal payments toward Conservation in comparison to other types, whereas areas in light blue have a higher amount of Federal payments toward all other agriculture in comparison to Conservation. Areas in black have an overall high amount of both types of payments. The map uses size to emphasize which counties received the overall largest receipts in US dollars.In 2017, the average farm received an average of $13,906, and conservation/wetland programs received and average of $6,980. These are the central colors of the map in order to anchor the map around the national figure. Areas with a pattern above or below the national average are highlighted by the colors along the edges of the legend (mentioned in the previous paragraph). For more information about Federal payments in 2017, visit this summary table from the USDA.For more information about the relationship mapping style used in this map, visit this blog. About the data and source: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 a in-depth look at the agricultural industry.This layer summarizes payments made to producers by the Federal government 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: Payments made to producers by the Federal governmentCoordinate System: Web Mercator Auxiliary SphereExtent: United States including Hawaii and AlaskaVisible 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.Federal Payments - Operations with ReceiptsFederal Payments - Receipts in US DollarsFederal Payments - Receipts in US Dollars per OperationFederal Payments not Including Conservation and Wetland Programs - Operations with ReceiptsFederal Payments not Including Conservation and Wetland Programs - Receipts in US DollarsFederal Payments not Including Conservation and Wetland Programs - Receipts in US Dollars per OperationFederal Payments for Conservation and Wetland Programs - Operations with ReceiptsFederal Payments for Conservation and Wetland Programs - Receipts in US DollarsFederal Payments for Conservation and Wetland Programs - Receipts in US Dollars per OperationConservation and wetland programs include:Conservation Reserve Program (CRP)Wetlands Reserve Program (WRP)Farmable Wetlands Program (FWP)Conservation Reserve Enhancement Program (CREP)Other programs with payments to producers include:2014 Agricultural Act (Farm Bill)Agriculture Risk Coverage (ARC)Price Loss Coverage (PLC)Commodity Credit Corporation (CCC)Loan Deficiency PaymentsDisaster Assistance ProgramsState and local government agricultural program payments and Federal crop insurance payments are not included.Additionally, attributes of State Name, State Code, County Name and County Code are included to facilitate cartography and use with other layers.

Agriculture Sensors Market Outlook 2032

The global agriculture sensors market size was USD 1.80 Billion in 2023 and is likely to reach USD 4.79 Billion by 2032, expanding at a CAGR of 11.50% during 2024–2032. The market growth is attributed to the rising adoption of soil moisture sensor technology across the globe.



Increasing adoption of soil moisture sensor technology is projected to fuel the market during the forecast period. Farmers optimize their irrigation systems by measuring soil moisture and other parameters in real-time such as weather conditions, nutrient levels in soil, and crop health. In addition to water saving, there are several benefits including enhanced crop yield and quality as well as soil erosion, lower run-off, and nutrient loss.

The market report finds that the COVID-19 pandemic hampered the agriculture sensors market, due to the stringent regulations imposed by the government. Due to the lockdown, the disruption of the supply chain has resulted in a shortage of equipment. However, the pandemic has disrupted the supply chain in the market and several companies are exploring new ways to interact with farmers through technology, which fuels the market. The increasing adoption of agriculture sensors owing to the well-developed information technology infrastructure, networks, and increased farm mechanization boosts the market.

Impact of Artificial Intelligence on the Agriculture Sensors Market

Artificial intelligence (AI) technologies are expected to fuel the agriculture market during the forecast period. AI in agriculture is transforming the farming industry by utilizing technologies such as sensors, the Internet of Things (IoT), location systems, robots, and AI on farms. Smart agriculture aims to achieve greater food self-sufficiency and revenue by offsetting environmental risks of crop failure and growing overall crop quality. IoT devices and AI solutions increase efficiency and output. Machine learning (ML) models with new and existing information increase yield predictions into reality.

Agriculture Sensors Market Dynamics

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What?

A dataset containing 313 total variables from 33 secondary sources. There are 261 unique variables, and 52 variables that have the same measurement but are reported for a different year; e.g. average farm size in 2017 (CapitalID: N27a) and 2022 (N27b). Variables were grouped by the community capital framework's seven capitals—Natural (96 total variables), Cultural (38), Human (39), Social (40), Political (18), Financial (67), & Built (15)—and temporally and thematically ordered. The geographic boundary is NOAA NCEI's corn and soybean belt (figure below), which stretches across 18 states and includes N=860 counties/observations. Cover crop data for the 80 Crop Reporting Districts in the boundary are also included for 2015-2021.

Why?

Comprehensively assessing how community capital clustered variables, for both farmers and nonfarmers, impact conservation practices (and perennial groundcover) over time helps to examine county-level farm conservation agriculture practices in the context of community development. We contribute to the robust U.S. cover crop literature a better understanding of how overarching cultural, social, and human factors influence conservation agriculture practices to encourage better farm management practices. Analyses of this Dataverse will be presented as recomendations for farmers, nonfarmers, ag-adjacent stakeholders, and community leaders.

How?

Variables used in this dataset range 20 years, from 2004-2023, though primary analyses focus on data collected between 2017-2024, primarily 2017 and 2022 (NASS Ag Census years). First, JAM-K requested, accessed, and downloaded data, most of which was already publically available. Next, JAM-K cleaned the data and aggregated into one dataset, and made it publically available on Google Drive and Zenodo.

What is 'new' or corrected in version 2?

Edited/amended: Carroll, KY is now spelled correctly (two 'l's, not one); variable names, full and abbreviated, were updated to include the data year; Pike County's (IL) FIPS has been corrected from its wrong 17153 (same as Pulaski County) to 17149 (correct fips), and all Pike County (IL) data has been correctly amended; Farming dependent (ERS) updated for all variables; Data for built capital variables irrCorn17, irrSoy17, irrHcrp17, tractor17, and combine17 were incorrect for v.1, but were corrected for v.2; Several variable labels aggregated by Wisconsin University's Population Health Institute's County Health Rankings and Roadmaps were corrected to have the data's original source and years included, rather than citing CHR&R as the source (except for CHR&R's originally-produced values such as quartiles or rank scores); variables were reorganized by hypothesized community capital clusters (Natural -> Built), and temporally within each cluster.

Added: 55 variables, mostly from the 2022 Ag Census, and v2.1 added a .pdf file with descriptives of data sources and years, and a .sav file.

Omitted: Four variables deemed irrelevant to the study; V1 codebook's "years internally available" column.

CRediT: conceptualization, CBF, JAM-K; methodology, JAM-K; data aggregation and curation, JAM-K; formal analysis, JAM-K; visualization, JAM-K; supervision, CBF; funding acquisition, CBF; project administration, CBF; resources, CBF, JAM-K

Acknowledgements: This research was funded by the Agriculture and Food Research Initiative Competitive Grant No. 2021-68012-35923 from the United States Department of Agriculture National Institute for Food and Agriculture. Any opinions, findings, conclusions, or recommendations expressed in this presentation are those of the authors and do not necessarily reflect the view of the U.S. Department of Agriculture. Much thanks to Corteva for granting data access of OpTIS 2.0 (2005-2019), and Austin Landini for STATA code and visualization assistance.

The "Conservation Reserve Program Statistics" database contains information on the number of contracts and acres enrolled by fiscal year from 1986 to 1993 and for sign-up periods 1 to 12. It also includes average rent by size, acres enrolled by level of erosion, conservation treatments applied, and cost share data by region and state.

About this dataset

Context

The dataset presents median household incomes for various household sizes in Prairie Farm, WI, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Prairie Farm did not include 4, 5, 6, or 7-person households. Across the different household sizes in Prairie Farm the mean income is $40,923, and the standard deviation is $20,326. The coefficient of variation (CV) is 49.67%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2023, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $28,393. It then further increased to $30,000 for 3-person households, the largest household size for which the bureau reported a median household income.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific household size.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Prairie Farm median household income. You can refer the same here

The South America Agricultural Sprayers Market, valued at $501.09 million in 2025, is poised for significant growth with a Compound Annual Growth Rate (CAGR) of 5.89% during the forecast period of 2025-2033. This growth is driven by the increasing demand for efficient agricultural practices and the adoption of advanced farming technologies across the region. Key drivers include the need for higher crop yields, the rising prevalence of precision farming techniques, and the shift towards sustainable agricultural practices. The market is segmented by source of power, usage, mode of capacity, and country, with Brazil and Argentina leading the market due to their large agricultural sectors and increasing investments in modern farming equipment. Trends such as the integration of IoT and AI in agricultural sprayers are revolutionizing the industry, allowing for more precise application of chemicals and water, thereby reducing waste and increasing efficiency. Despite the growth, the market faces challenges such as high initial costs of advanced sprayers and the need for skilled labor to operate them. However, these restraints are being addressed through government subsidies and training programs aimed at enhancing the adoption of modern agricultural equipment. Major players like Deere & Company, Stara SA, and Jacto Inc are at the forefront, continuously innovating to meet the evolving needs of South American farmers. The market's future looks promising, with a focus on sustainability and technological advancements driving further expansion. Recent developments include: September 2022: John Deere has launched its 'see and spray' technology on one of the new sprayers released at the Farm Progress Show. The machine combines targeted spray technology with a conventional broadcast system to offer growers options throughout the season and it is the first green-on-green targeted spray technology to be commercialized by the company., June 2022: Bosch BASF Smart Farming GmbH, the joint venture between Bosch and BASF Digital Farming, has made a commercial sales collaboration for its Smart Spraying solution with Stara to create a line for the Imperador 4000 Eco Spray smart sprayer, following successful product trials in Brazil which enables to bring in the market with innovative Smart Spraying solution in Latin America.. Key drivers for this market are: Brazilian Farm Structure and Consolidation of Smaller Farms, Technological Advancements. Potential restraints include: High Cost of Equipment and Price Sensitivity, Data Privacy Concerns. Notable trends are: Increase in Average Farm Size Leading To Adoption of Agricultural Sprayers.