This statistic shows the total value of farm real estate in the United States from 2004 to 2023. In 2023, the total value of farmland and buildings in the U.S. came to around 3.3 trillion U.S. dollars.

Graph and download economic data for Corporate Farm Business; Land at Market Value, Transactions (BOGZ1FA185010005Q) from Q4 1946 to Q4 2024 about land, market value, transactions, agriculture, business, and USA.

Forecast: Total Value of Agricultural Production at Farm Gate in the US 2024 - 2028 Discover more data with ReportLinker!

Graph and download economic data for Farm Business (Included in Nonfinancial Corporate and Noncorporate Business Sectors); Land at Market Value, Level (BOGZ1FL135010005A) from 1945 to 2024 about land, market value, agriculture, business, and USA.

United States - Total Assets, Interest-Earning, All Loans and Leases, Gross, Secured by Real Estate, Farmland, Booked in Domestic Offices, Banks Not Among the 100 Largest in Size by Assets was 100850.00000 Mil. of $ in January of 2025, according to the United States Federal Reserve. Historically, United States - Total Assets, Interest-Earning, All Loans and Leases, Gross, Secured by Real Estate, Farmland, Booked in Domestic Offices, Banks Not Among the 100 Largest in Size by Assets reached a record high of 100850.00000 in January of 2025 and a record low of 9334.00000 in January of 1985. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total Assets, Interest-Earning, All Loans and Leases, Gross, Secured by Real Estate, Farmland, Booked in Domestic Offices, Banks Not Among the 100 Largest in Size by Assets - last updated from the United States Federal Reserve on June of 2025.

United States - Total Assets, Interest-Earning, All Loans and Leases, Gross, Secured by Real Estate, Farmland, Booked in Domestic Offices, All Commercial Banks was 116263.00000 Mil. of $ in January of 2025, according to the United States Federal Reserve. Historically, United States - Total Assets, Interest-Earning, All Loans and Leases, Gross, Secured by Real Estate, Farmland, Booked in Domestic Offices, All Commercial Banks reached a record high of 116522.00000 in October of 2024 and a record low of 10295.00000 in January of 1985. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total Assets, Interest-Earning, All Loans and Leases, Gross, Secured by Real Estate, Farmland, Booked in Domestic Offices, All Commercial Banks - last updated from the United States Federal Reserve on July of 2025.

About this dataset

Context

The dataset tabulates the Farmland population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Farmland. The dataset can be utilized to understand the population distribution of Farmland by age. For example, using this dataset, we can identify the largest age group in Farmland.

Key observations

The largest age group in Farmland, IN was for the group of age 20 to 24 years years with a population of 153 (11.38%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Farmland, IN was the 85 years and over years with a population of 10 (0.74%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Farmland is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Farmland total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Farmland Population by Age. You can refer the same here

Contained within the 4th Edition (1974) of the Atlas of Canada is a set of two maps. The first map shows the total value of farm sales for 1960 to 1961 by census division for all of Canada. The second map shows Ontario and Quebec in greater detail (at a scale of 1:5 000 000). The second map shows areas in which soil and climatic conditions are judged suitable for agriculture in North-West Canada.

The Farmland Protection Policy Act, part of the 1981 Farm Bill, is intended to limit federal activities that contribute to the unnecessary conversion of farmland to other uses. The law applies to construction projects funded by the federal government such as highways, airports, and dams, and to the management of federal lands. As part of the implementation of this law, the Natural Resources Conservation Service identifies high quality agricultural soils as prime farmland, unique farmland, and land of statewide or local importance. Each category may contain one or more limitations such as Prime Farmland if Irrigated. For a complete list of categories and definitions, see the National Soil Survey Handbook.All areas are prime farmlandFarmland of local importanceFarmland of statewide importanceFarmland of statewide importance, if drainedFarmland of statewide importance, if drained and either protected from flooding or not frequently flooded during the growing seasonFarmland of statewide importance, if irrigatedFarmland of statewide importance, if irrigated and drainedFarmland of statewide importance, if irrigated and either protected from flooding or not frequently flooded during the growing seasonFarmland of statewide importance, if irrigated and reclaimed of excess salts and sodiumFarmland of statewide importance, if irrigated and the product of I (soil erodibility) x C (climate factor) does not exceed 60Farmland of statewide importance, if protected from flooding or not frequently flooded during the growing seasonFarmland of statewide importance, if warm enoughFarmland of statewide importance, if warm enough, and either drained or either protected from flooding or not frequently flooded during the growing seasonFarmland of unique importanceNot prime farmlandPrime farmland if drainedPrime farmland if drained and either protected from flooding or not frequently flooded during the growing seasonPrime farmland if irrigatedPrime farmland if irrigated and drainedPrime farmland if irrigated and either protected from flooding or not frequently flooded during the growing seasonPrime farmland if irrigated and reclaimed of excess salts and sodiumPrime farmland if irrigated and the product of I (soil erodibility) x C (climate factor) does not exceed 60Prime farmland if protected from flooding or not frequently flooded during the growing seasonPrime farmland if subsoiled, completely removing the root inhibiting soil layerDataset SummaryPhenomenon Mapped: FarmlandUnits: ClassesCell Size: 30 metersSource Type: DiscretePixel Type: Unsigned integerData Coordinate System: USA Contiguous Albers Equal Area Conic USGS version (contiguous US, Puerto Rico, US Virgin Islands), WGS 1984 Albers (Alaska), Hawaii Albers Equal Area Conic (Hawaii), Western Pacific Albers Equal Area Conic (Guam, Marshall Islands, Northern Marianas Islands, Palau, Federated States of Micronesia, and American Samoa)Mosaic Projection: Web Mercator Auxiliary SphereExtent: Contiguous United States, Alaska, Hawaii, Puerto Rico, Guam, US Virgin Islands, Marshall Islands, Northern Marianas Islands, Palau, Federated States of Micronesia, and American SamoaSource: Natural Resources Conservation ServicePublication Date: December 2021ArcGIS Server URL: https://landscape11.arcgis.com/arcgis/Data from the gNATSGO database was used to create the layer for the contiguous United States, Alaska, Puerto Rico, and the U.S. Virgin Islands. The remaining areas were created with the gSSURGO database (Hawaii, Guam, Marshall Islands, Northern Marianas Islands, Palau, Federated States of Micronesia, and American Samoa).This layer is derived from the 30m (contiguous U.S.) and 10m rasters (all other regions) produced by the Natural Resources Conservation Service (NRCS). The value for farmland class is derived from the gSSURGO map unit table field Farm Class (farmlndcl).What can you do with this Layer? This layer is suitable for both visualization and analysis across the ArcGIS system. This layer can be combined with your data and other layers from the ArcGIS Living Atlas of the World in ArcGIS Online and ArcGIS Pro to create powerful web maps that can be used alone or in a story map or other application.Because this layer is part of the ArcGIS Living Atlas of the World it is easy to add to your map:In ArcGIS Online, you can add this layer to a map by selecting Add then Browse Living Atlas Layers. A window will open. Type "farmland" in the search box and browse to the layer. Select the layer then click Add to Map.In ArcGIS Pro, open a map and select Add Data from the Map Tab. Select Data at the top of the drop down menu. The Add Data dialog box will open on the left side of the box, expand Portal if necessary, then select Living Atlas. Type "farmland" in the search box, browse to the layer then click OK.In ArcGIS Pro you can use the built-in raster functions or create your own to create custom extracts of the data. Imagery layers provide fast, powerful inputs to geoprocessing tools, models, or Python scripts in Pro.Online you can filter the layer to show subsets of the data using the filter button and the layer's built-in raster functions.The ArcGIS Living Atlas of the World provides an easy way to explore many other beautiful and authoritative maps on hundreds of topics like this one.

Graph and download economic data for Corporate Farm Business; Land at Market Value, Transactions (BOGZ1FU185010005Q) from Q4 1946 to Q1 2025 about land, market value, transactions, agriculture, business, and USA.

Table SA45 provides detailed estimates of farm gross income and production expenses and of several different measures of net farm income. Farm gross income consists of estimates for the following items: Cash receipts from the marketing of crops and livestock; income from other farm-related activities, including recreational services and the sale of forest products; government payments to farmers; the value of food and fuel produced and consumed on farms; the gross rental value of farm dwellings; and the value of the net change in the physical volume of farm inventories of crops and livestock. Production expenses (including the expenses associated with farm dwellings) consist of: Purchases of feed, livestock, seed, fertilizer and lime, and petroleum products; hired farm labor expenses (including contract labor); and all other production expenses, including depreciation, interest, rent, taxes, and the repair and operation of machinery. Production expenses and gross farm income excluding inventory change are used to calculate the realized net income of all farms: Gross farm income, excluding inventory change, minus production expenses equals realized net income. Realized net income is then modified to reflect current production through the change-in-inventory adjustment to yield the net income of all farms. Then the income of corporate farms and the salaries paid to corporate officers are subtracted to yield farm proprietors' income. Finally, the addition of farm wages and salaries (including corporate officers' salaries) and other labor income to farm proprietors' income yields total farm earnings (labor and proprietors' income). The BEA State estimates of farm earnings are based on the State estimates of the income of all farms prepared by the Economic Research Service of the U.S. Department of Agriculture (USDA). BEA modifies the USDA estimates to conform to the definitions and classifications of the national income and product accounts. The estimates of the income of corporate farms are prepared by BEA.

United States Long Term Projections: Farm Value: Vegetables: Fresh Market data was reported at 20.283 USD bn in 2034. This records an increase from the previous number of 19.910 USD bn for 2033. United States Long Term Projections: Farm Value: Vegetables: Fresh Market data is updated yearly, averaging 17.956 USD bn from Dec 2022 (Median) to 2034, with 13 observations. The data reached an all-time high of 20.283 USD bn in 2034 and a record low of 16.086 USD bn in 2024. United States Long Term Projections: Farm Value: Vegetables: Fresh Market data remains active status in CEIC and is reported by U.S. Department of Agriculture. The data is categorized under Global Database’s United States – Table US.RI008: Agricultural Projections: Fruits and Nuts, and Vegetables.

Note: Updates to this data product are discontinued.

This data product summarizes the farm-structural characteristics for irrigated farms in each of the 50 States, the 17 Western States (aggregated) and the Nation as a whole, based on USDA's 2013 Farm and Ranch Irrigation Survey (FRIS). (See the Documentation for data sources and methods.) The tables are grouped into three sections of sets of tables. Section I covers all irrigated farms; sets of tables are grouped into 18 broad categories, ranging from total irrigation values to higher efficiency irrigation, to irrigated farms receiving technical/financial assistance designed to encourage onfarm water and energy conservation. Sets of tables in Section II cover all irrigated horticulture farms, and tables in Section III cover irrigated horticulture under protection (HUP) farms.

All tables identify specific irrigation characteristics for four farm-size classes, by State and region. The list of tables in each set is found in the first tab of each Excel workbook.

A previous release of this data product—which summarized the farm-structural characteristics for irrigated farms in the 17 Western States based on USDA's 2008 and 1998 Farm and Ranch Irrigation Surveys—is available in a zipped archive file.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: https://www.ers.usda.gov/data-products/irrigated-agriculture-in-the-united-states/ For complete information, please visit https://data.gov.

About this dataset

Context

The dataset tabulates the population of Farmland by race. It includes the population of Farmland across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Farmland across relevant racial categories.

Key observations

The percent distribution of Farmland population by race (across all racial categories recognized by the U.S. Census Bureau): 96.28% are white, 1.41% are American Indian and Alaska Native, 0.37% are Asian, 0.15% are some other race and 1.78% are multiracial.

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Farmland
• Population: The population of the racial category (excluding ethnicity) in the Farmland is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Farmland total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Farmland Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Farmland by race. It includes the distribution of the Non-Hispanic population of Farmland across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Farmland across relevant racial categories.

Key observations

Of the Non-Hispanic population in Farmland, the largest racial group is White alone with a population of 1,281 (96.46% of the total Non-Hispanic population).

https://i.neilsberg.com/ch/farmland-in-population-by-race-and-ethnicity.jpeg" alt="Farmland Non-Hispanic population by race">

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Farmland
• Population: The population of the racial category (for Non-Hispanic) in the Farmland is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Farmland total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Farmland Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Farmland. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Farmland, the median income for all workers aged 15 years and older, regardless of work hours, was $29,901 for males and $17,083 for females.

These income figures highlight a substantial gender-based income gap in Farmland. Women, regardless of work hours, earn 57 cents for each dollar earned by men. This significant gender pay gap, approximately 43%, underscores concerning gender-based income inequality in the town of Farmland.

- Full-time workers, aged 15 years and older: In Farmland, among full-time, year-round workers aged 15 years and older, males earned a median income of $53,167, while females earned $34,318, leading to a 35% gender pay gap among full-time workers. This illustrates that women earn 65 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment roles.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Farmland, showcasing a consistent income pattern irrespective of employment status.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 Farmland median household income by race. You can refer the same here

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.

United States TFP: Non-Farm: Output: Value-added data was reported at 123.947 2009=100 in 2017. This records an increase from the previous number of 120.492 2009=100 for 2016. United States TFP: Non-Farm: Output: Value-added data is updated yearly, averaging 89.270 2009=100 from Dec 1987 (Median) to 2017, with 31 observations. The data reached an all-time high of 123.947 2009=100 in 2017 and a record low of 53.478 2009=100 in 1987. United States TFP: Non-Farm: Output: Value-added data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G069: Total Factor Productivity.

The USDA's National Agricultural Statistics Service (NASS) conducts hundreds of surveys every year and prepares reports covering virtually every aspect of U.S. agriculture. Production and supplies of food and fiber, prices paid and received by farmers, farm labor and wages, farm finances, chemical use, and changes in the demographics of U.S. producers are only a few examples.

United States TFP: Non-Farm: Price of labor data was reported at 114.419 2009=100 in 2016. This records an increase from the previous number of 113.203 2009=100 for 2015. United States TFP: Non-Farm: Price of labor data is updated yearly, averaging 81.301 2009=100 from Dec 1987 (Median) to 2016, with 30 observations. The data reached an all-time high of 114.419 2009=100 in 2016 and a record low of 47.639 2009=100 in 1987. United States TFP: Non-Farm: Price of labor data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G069: Total Factor Productivity.