Get statistical data on the annual averages of the Farm Input Price Index for Ontario.

This index measures the change in selected farm input costs over time. These costs are related to items like:

• buildings
• machinery and motor vehicles
• depreciation on machinery and motor vehicles
• machinery fuel
• machine repairs
• general business costs
• crop production
• commercial seed and plant
• fertilizer
• animal production
• livestock purchases
• commercial feed

Graph and download economic data for Index of Farm Prices of Crops for United States (M04059USM323NNBR) from Jan 1910 to Dec 1966 about crop, agriculture, price index, indexes, price, and USA.

This dataset contains historical records of farm production across provinces.

• It includes information about crop types, average farm prices (in dollars per tonne), average yields (in kilograms per hectare), total production (in metric tonnes), seeded areas (in both acres and hectares), and the total farm value (in dollars).
• Each entry is categorized by year (REF_DATE) and province (GEO), providing a comprehensive view of agricultural trends in Canada over time.

Farm product prices, crops and livestock, by province (in dollars per metric tonne unless otherwise noted). Data are available on a monthly basis.

Fruits and Vegetables Prices Dataset- Retail and Farm Prices for Various Products in Different Cities (1999 - 2019)

Overview:

This dataset comprehensively looks at retail and farm prices for various fresh produce items across different cities. The data spans from 1999 to 2019 and includes information on product names, dates, farm prices, and retail prices in major cities such as Atlanta, Chicago, Los Angeles, and New York.

Content:

The dataset encompasses a diverse range of popular produce items, including strawberries, romaine lettuce, red leaf lettuce, potatoes, oranges, iceberg lettuce, green leaf lettuce, celery, cauliflower, carrots, cantaloupe, broccoli crowns, broccoli bunches, avocados, etc.

Fields:

• Product Name: Name of the produce item.
• Date: The date of the pricing information.
• Farm Price: The price at which the produce is sold at the farm.
• Retail Prices: Retail prices in major cities (Atlanta, Chicago, Los Angeles, New York).
• Average Spread: Percentage indicating the average markup between farm and retail prices.

Use Cases:

Researchers, analysts, and policymakers can use this dataset to explore and analyze trends in produce pricing, understand variations in retail and farm prices across different cities, and investigate factors influencing price spreads.

Acknowledgments:

The dataset is sourced from http://www.producepriceindex.com

Note:

This dataset is suitable for exploratory data analysis, price trend studies, and research into the economic aspects of fresh produce distribution and consumption.

Estimated areas, production, yield, average farm price and total farm value of principal field crops.

Farm input price index (FIPI). Quarterly data are available from from the first quarter of 2002. The table presents data for the most recent reference period and the last four periods. The base period for the index is (2012=100).

The graph shows the Producer Price Index (PPI) for farm crops in China from the fourth quarter of 2022 to the fourth quarter of 2025. During the fourth quarter of 2025, the PPI for farm crops ranged at ***** index points (same quarter of previous year = 100).

Sri Lanka Crop Prices (2000 - Present) - Synthetic Data

This dataset provides synthetic monthly price data for key agricultural crops in Sri Lanka, spanning from January 2000 up to the current month. It includes simulated farm-gate prices, retail prices in two major markets (Pettah and Dambulla), and the calculated average price spread.

📊 Dataset Columns:

• productname: The name of the crop (e.g., Beans, Carrot, Tomato).

• date: The specific date (YYYY-MM-DD) representing the month for which the prices are simulated.

• farmprice: The hypothetical price at which the crop is sold by farmers (in Sri Lankan Rupees - LKR).

• retailpricepettah: The hypothetical retail price of the crop in the Pettah market, Colombo (in LKR).

• retailpricedambulla: The hypothetical retail price of the crop in the Dambulla economic center (in LKR).

• averagespread: The average difference between the farm price and the two retail prices, indicating the profit margin or distribution cost (in LKR).

🌿 Crops Included:

The dataset covers the following common crops in Sri Lanka:

• Beans

• Carrot

• Cabbage

• Tomato

• Brinjal

• Pumpkin

• Snake Gourd

• Green Chilli

• Lime

📈 Data Generation & Methodology:

It is crucial to note that this dataset contains synthetically generated data and does not represent actual historical market prices. The data was simulated using a Python script that incorporates:

• Inflationary Trend: Prices generally increase over time, reflecting a simulated annual inflation rate (between 5% and 8%).

• Seasonal Variation: A subtle monthly fluctuation is introduced to mimic typical agricultural seasonality.

• Price Spreads: Retail prices are consistently higher than farm prices, with random margins applied to simulate distribution costs and market dynamics.

• Market Differences: Slight variations are introduced between the Pettah and Dambulla retail prices to reflect different market conditions.

• This approach ensures the data exhibits realistic patterns and relationships, making it suitable for educational purposes or for developing and testing analytical models where real-world data might be unavailable or sensitive.

💡 Potential Uses:

This dataset can be valuable for:

• Educational Purposes: Teaching data analysis, time series analysis, and economic modeling.

• Model Development: Prototyping and testing machine learning models for price prediction, market analysis, or supply chain optimization.

• Data Visualization: Creating charts and dashboards to visualize price trends, seasonality, and market spreads.

• Hypothesis Testing: Exploring hypothetical scenarios related to agricultural economics in Sri Lanka.

• Disclaimer: As this is synthetic data, it should not be used for making real-world economic decisions or for accurate historical analysis.

Agricultural Price Index: Received by Farmers: All Farm Products data was reported at 180.000 1990-1992=100 in Dec 2013. This records a decrease from the previous number of 184.000 1990-1992=100 for Nov 2013. Agricultural Price Index: Received by Farmers: All Farm Products data is updated monthly, averaging 101.000 1990-1992=100 from Jan 1975 (Median) to Dec 2013, with 468 observations. The data reached an all-time high of 217.000 1990-1992=100 in Jan 2013 and a record low of 67.000 1990-1992=100 in Apr 1975. Agricultural Price Index: Received by Farmers: All Farm Products data remains active status in CEIC and is reported by US Department of Agriculture. The data is categorized under Global Database’s United States – Table US.I043: Agricultural Price Index.

View monthly updates and historical trends for US Corn Farm Price Received. from United States. Source: US Department of Agriculture. Track economic data …

Graph and download economic data for Producer Price Index by Industry: Farm Machinery and Equipment Manufacturing: Parts for Farm Machinery, for Sale Separately (PCU333111333111C) from Dec 1982 to Feb 2026 about parts, agriculture, machinery, equipment, manufacturing, PPI, inflation, industry, price index, indexes, price, and USA.

This table contains 6 series, with data for years 1961 - 1992 (not all combinations necessarily have data for all years), and was last released on 2000-02-18. This table contains data described by the following dimensions (Not all combinations are available): Geography (3 items: Canada; Eastern Canada; Western Canada ...), Price index (1 items: Farm inputs; total ...), Index year (2 items: 1981=100; 1986=100 ...).

Abstract

Farm prices refer to the prices received by the farmers and livestock/poultry raisers for the sale of their produce at the first point of sale, regardless of whether these are sold at the farm or elsewhere. These prices are generated through the monthly Farm Prices Survey (FPS).

The survey on prices of agricultural commodities at the farm level has been a continuing activity of the Bureau of Agricultural Statistics (BAS) and its predecessor, Bureau of Agricultural Economics (BAEcon). It was started with the collection of prices received by farmers in 1957 by the then Division of Agricultural Economics of the Department of Agriculture and Natural Resources (DANR). Conceptually, these prices were deemed to represent the average prices received by farmers for the sale of their products of whatever grade or class at the point of first sale.

To ensure the effectiveness of the system of generating and delivering data on farm prices, the Bureau of Agricultural Statistics has been conducting assessment of the Farm Prices Survey methodology from time to time. The main purpose of the assessment is to improve the quality of the price information gathered at the farm level. The 1998 assessment provided inputs to the design of the current Farm Price Survey methodology.

Geographic coverage

National coverage Regional Provincial

Analysis unit

The survey has individual farmers/producers and agricultural commodites as unit of analysis.

Universe

All prices received by farmers for agricultural commodities including crops, livestock, poultry and prices paid for farm chemicals

Kind of data

Sample survey data [ssd]

Sampling procedure

Commodities to be monitored by province are pre-determined based on four (4) criteria, namely: major produce of the province in terms of volume of production; priority crop of the province; national commodity and with the province being one of the major producers; and one of the commodities monitored for the Producers' Price Index (PPI). Determination of the agricultural commodities to be monitored for farm prices shall be done at the Provincial Operations Centers (POCs) and shall be submitted to the Central Office for information and approval.

For crops and backyard livestock and poultry, the farm prices survey utilizes a two-stage sampling procedure with the province as the domain.

The first stage sampling unit is the municipality. It consists of the top five (5) producing municipalities per commodity per province. Selection of these municipalities is done monthly on the assumption that they could change every month for each crop.

The second stage sampling unit is the farmer or livestock/poultry raiser who traded the commodities during the reference period. In each sample municipality, at least five (5) sample farmers or raisers are chosen purposively and interviewed. This two-stage procedure gives the total number of respondents for farm prices survey at 25 per commodity per province.

When less than five (5) municipalities are identified for farm prices survey during the month, the number of samples per municipality is increased to get a provincial total of 25. In the allocation of the number of samples in the municipalities selected, the volume of production and trading during the reference period is considered.

For livestock and poultry commercial farms, the samples are randomly selected from the Commercial Livestock and Poultry Survey (CLPS) master list of establishments for each animal type. Samples are stratified according to the maximum capacity of the farm. Four (4) strata are required to give a total of eight (8) samples for the province. If there are less than four (4) strata in the province, the number of samples per stratum are increased proportionately to get a provincial total of eight (8). In case the total number of farms for each poultry item is less than eight (8), complete enumeration is done.

Respondents for Farm Prices Survey component on pesticides are the dealers of agricultural inputs in the five major crop producing municipalities and in the provincial capital or trading center. Sample dealers of inputs are those most patronized by farmers. One dealer per municipality will be interviewed. In addition, the three (3) major pesticide dealers in the provincial capital or trading center shall be considered as samples. The maximum number of samples per province is eight (8).

Mode of data collection

Face-to-face [f2f]

Research instrument

There are seven (7) forms to be used in the Farm Prices Survey, namely:

FPS Form 1 - Collection Form for Farm Prices Received by Farmers for Crops FPS Form 2 - Collection Form for Farm Prices Received by Backyard Raisers of Cattle and Carabaos FPS Form 3 - Collection Form for Farm Prices Received by Backyard Raisers of Hogs (upgraded) FPS Form 4 - Collection Form for Farm Prices Received by Backyard Raisers of Goats FPS Form 5 - Collection Form for Farm Prices Received by Backyard and Commercial Raisers of Chicken and Chicken Eggs FPS Form 6 - Collection Form for Farm Prices Received by Backyard and Commercial Raisers of Ducks and Duck Eggs FPS Form 8 - Collection Form for Farm Prices Paid by Farmers for Pesticides

FPS Form 1-6 and 8 are survey questionnaires. These have been approved by the National Statistical Coordination Board (NSCB) with the corresponding approval numbers indicated on the right side of the upper portions of the questionnaires.

Cleaning operations

Accomplished Farm Prices Survey questionnaires are subjected to manual editing and coding by Operations Centers staff as data collector and Provincial Agricultural Statistics Officer as supervisor.

Editing, encoding and generation of monthly provincial reports are done in the Provincial Operations Centers (POCs). Prior to encoding, the accomplished questionnaires are manually edited for validity and consistency. The data files undergo validation using an editing program based on pre-set validation criteria such as consistency check, range check and acceptability and validity of data.

Sampling error estimates

Not applicable for crops and livestock and poultry backyard farms. Not computed for livestock and poultry commercial farms, and pesticides.

Data appraisal

Data review for farm prices is undertaken at the POCs every month and at the regional and national level every quarter. Since 2001, the review of farm prices had been included in the regional quarterly data reviews alongside with production statistics. Farm price data are reviewed against consistency with basket and trading matrix, consistency with trends, abrupt changes and trends/levels relative to wholesale and retail prices.

Agricultural Price Index: Received by Farmers: All Crops data was reported at 186.000 1990-1992=100 in Dec 2013. This records a decrease from the previous number of 192.000 1990-1992=100 for Nov 2013. Agricultural Price Index: Received by Farmers: All Crops data is updated monthly, averaging 116.500 1990-1992=100 from Jan 1994 (Median) to Dec 2013, with 240 observations. The data reached an all-time high of 250.000 1990-1992=100 in Jan 2013 and a record low of 88.000 1990-1992=100 in Oct 2001. Agricultural Price Index: Received by Farmers: All Crops data remains active status in CEIC and is reported by US Department of Agriculture. The data is categorized under Global Database’s United States – Table US.I043: Agricultural Price Index.

The dataset provided consists of historical wheat production data, extracted from the USDA Economic Research Service's Wheat Data repository: USDA Wheat Data. This dataset covers several important agricultural metrics for wheat, including planted acreage, harvested acreage, production, yield, and farm price over multiple marketing years.

Dataset Columns: Marketing Year: The year corresponding to the wheat marketing cycle (e.g., 1866/67). Planted Acreage (Million Acres): The total area where wheat was planted, measured in millions of acres. Harvested Acreage (Million Acres): The area where wheat was actually harvested, measured in millions of acres. Production (Million Bushels): The total wheat production, measured in millions of bushels. Yield (Bushels per Acre): The average yield of wheat, expressed in bushels per acre. Farm Price (Dollars per Bushel): The weighted-average farm price for wheat, expressed in dollars per bushel.

This dataset contains the predicted prices of the asset BANANA FARM over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

The agricultural land prices and rents methodology intends to collect comparable statistics on the prices and rents of agricultural land for agricultural use in the European Union, as land is a primary resource for agricultural production. The EU enlargements increased the need for data on agricultural land prices and rents. The main uses of these statistics are comparisons among the Member States and their regions and analyses of the trends in agricultural land prices and rents.

United States - Producer Price Index by Commodity: Farm Products was 232.99500 Index 1982=100 in December of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Commodity: Farm Products reached a record high of 263.81700 in May of 2022 and a record low of 10.30000 in February of 1933. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Commodity: Farm Products - last updated from the United States Federal Reserve on February of 2026.