Quick Stats API is the programmatic interface to the National Agricultural Statistics Service's (NASS) online database containing results from the 1997, 2002, 2007, and 2012 Censuses of Agriculture as well as the best source of NASS survey published estimates. The census collects data on all commodities produced on U.S. farms and ranches, as well as detailed information on expenses, income, and operator characteristics. The surveys that NASS conducts collect information on virtually every facet of U.S. agricultural production.

The Quick Stats database is the most comprehensive tool for accessing agricultural data published by NASS. It allows you to customize your query by commodity, location, or time period. You can then visualize the data on a map, manipulate and export the results, or save a link for future use.Data is available By StateBy SubjectCrops and PlantsDemographicsEconomic and PricesEnvironmentalLivestock and AnimalsResearch, Science, and TechnologyThere are 12 data files, each in gzip'd TSV format.

This edition of the Abstract of Agricultural Statistics contains South African agricultural statistics of major importance that were available up to December 2017. The "Abstract" contains meaningful information on, inter alia, field crops, horticulture, livestock, important indicators and the contribution of agriculture.

Statistics on agriculture in Massachusetts

The Agricultural Statistics of the People's Republic of China, 1949-1990 is an historical collection of agricultural statistical data compiled by China's State Statistical Bureau (SSB). The collection contains 297 variables covering social and economic indicators, commodities, price index, production, trade, and consumption. The data are provided at the national level (1949-1990) and the provincial level (1979-1990). This data set is produced in collaboration with the United States Department of Agriculture (USDA), SSB, and the Center for International Earth Science Information Network (CIESIN).

Introduction

AI in Agriculture Statistics: Artificial Intelligence (AI) is quickly transforming agriculture. It empowers farmers and agribusinesses to optimize practices, increase productivity, and prioritize sustainability. AI-driven precision farming efficiently manages resources like water, fertilizers, and pesticides, leading to higher yields with less environmental impact.

These AI systems also monitor crop and livestock health for early issue detection. Furthermore, AI enhances supply chain efficiency, ensuring smooth product delivery. Despite challenges like data privacy and adoption hurdles, AI integration has the potential to revolutionize agriculture, making it more efficient, sustainable, and responsive to global food needs.

A direct internet link to Solomon Island's agriculture statistics at a glance and other related information.

A collection of over 75 charts and maps presenting key statistics on the farm sector, food spending and prices, food security, rural communities, the interaction of agriculture and natural resources, and more. How much do you know about food and agriculture? What about rural America or conservation? ERS has assembled more than 75 charts and maps covering key information about the farm and food sectors, including agricultural markets and trade, farm income, food prices and consumption, food security, rural economies, and the interaction of agriculture and natural resources. How much, for example, do agriculture and related industries contribute to U.S. gross domestic product? Which commodities are the leading agricultural exports? How much of the food dollar goes to farmers? How do job earnings in rural areas compare with metro areas? How much of the Nation’s water is used by agriculture? These are among the statistics covered in this collection of charts and maps—with accompanying text—divided into the nine section titles.

The Agricultural Statistics of the People's Republic of China, 1949-1990 is an historical collection of agricultural statistical data compiled by China's State Statistical Bureau (SSB). The collection contains 297 variables covering social and economic indicators, commodities, price index, production, trade, and consumption. The data are provided at the national level (1949-1990) and the provincial level (1979-1990). This data set is produced in collaboration with the United States Department of Agriculture (USDA), SSB, and the Center for International Earth Science Information Network (CIESIN).

This publication has been discontinued, as it has been superseded by and comes under Agriculture in the UK now. This publication provides an easy-to-reference statistics on UK Agriculture, complementing its more comprehensive sister publication Agriculture in the UK.

Designation: Official Statistics Alternative title: Agricultural Statistics in your Pocket

India Agricultural Production: Major Crops: Achievements: Pulses data was reported at 27.504 Ton mn in 2023. This records an increase from the previous number of 27.302 Ton mn for 2022. India Agricultural Production: Major Crops: Achievements: Pulses data is updated yearly, averaging 12.840 Ton mn from Mar 1956 (Median) to 2023, with 68 observations. The data reached an all-time high of 27.504 Ton mn in 2023 and a record low of 8.350 Ton mn in 1967. India Agricultural Production: Major Crops: Achievements: Pulses data remains active status in CEIC and is reported by Directorate of Economics and Statistics, Department of Agriculture and Farmers Welfare. The data is categorized under India Premium Database’s Agriculture Sector – Table IN.RIB002: Agricultural Production: Targets & Achievement of Major Crops.

In 2001, the use of agricultural farm land peaked at 4.88 billion ha. Since then, agricultural land use has steadily declined to 4.74 billion ha in 2023. While land use has peaked and is in decline, the value of the total global agricultural production has continued to grow and nears four trillion international U.S. dollars. This is a measurement that adjusts for inflation and makes dollar values comparable.

We have collected the crop transplanting time data, harvesting time data and temperature data based on crop transplanting data from the yearbook of Agriculture Statistics Bangladesh 2020 . After that we have collected crop season data based on crop transplantation time data from the Bangladesh Perspective Agricultural Crop Seasons Article. We then pre-process and aggregate all the data into a complete data set. This dataset contains information on 33 crops of Kharif 1 season, 22 crops of Rabi season and 48 crops of Kharif 2. In all, our dataset contains information on a total of 104 Bangladeshi crops. After that we analyzed our raw data through different types of algorithm.

Organic farming can be defined as a method of production which places the highest emphasis on environmental protection and, with regard to livestock production, on animal welfare considerations. It avoids or largely reduces the use of synthetic chemical inputs such as fertilisers, pesticides, additives and medicinal products. The production of genetically modified organisms (GMOs) and their use in animal feed are forbidden. It is as a part of a sustainable farming system and a viable alternative to the more traditional approaches to agriculture.

Organic farming differs from other agricultural production methods in the application of regulated standards (production rules), compulsory control schemes and a specific labelling scheme.

The collected statistics cover the following data:

1. Number of certified organic operators such as producers (agricultural holdings, aquaculture production units), processors, importers, exporters and other operators (wholesalers, retailers, etc.)
2. Number of manufactures processing products issued from organic farming (based on NACE classification)
3. Organic crop area under conversion and organic crop area and production from fully converted area
4. Number of certified organic livestock
5. Volume of organic products of animal origin (meat, eggs, milk, dairy and honey)
6. Volume of organic aquaculture production

Organic production statistics started to be collected, processed and disseminated by Eurostat for the reference year 1997 on the basis of gentlemen’s agreements (voluntary data transmission agreements). From the reference year 2008 and until 2020 included, the data collection was based on the Commission Regulation (EC) No 889/2008 implementing the Council Regulation (EC) No 834/2007 on organic production and labelling of organic products. This data was collected as summary tables to display an overview of the uptake of organic farming within the European Union, the United Kingdom, Iceland and Norway. Switzerland and some candidate countries (Montenegro, North Macedonia, Serbia and Turkey) also provide data on a voluntary basis.

In order to better fit the legal requirements imposed by the Commission Regulation (EC) No 889/2008, a new version of the template for organic production data collection has been drafted by a task force organised by Eurostat in 2011 on organic farming.

However, a new Regulation (EU) 2018/848 on organic production and labelling of organic products adopted in 2020 and repealing Council Regulation (EC) No 834/2007, does not contain a legal basis for collecting agricultural statistics. Therefore, starting from the reference year 2021 onwards, data on organic production are submitted to Eurostat based on the ESS Agreement.

The current template for data collection, which includes qualitative and quantitative improvements to the data collected, has been in use since the 2012 data collection. The template is available on CircaBC (see the link in annex) and is composed of 7 different tables and it has been updated every year to take into account the different needs and improvements in the data collection.

Data collected between 2012 and 2022 are disseminated via 7 datasets:

1. Organic operators by status of the registration process (https://ec.europa.eu/eurostat/databrowser/view/org_coptyp/default/table?lang=en" target="_blank">org_coptyp)
2. Organic crop area by agricultural production methods and crops (https://ec.europa.eu/eurostat/databrowser/view/org_cropar/default/table?lang=en" target="_blank">org_cropar)
3. Organic crop production by crops (https://ec.europa.eu/eurostat/databrowser/view/org_croppro/default/table?lang=en" target="_blank">org_croppro)
4. Organic livestock (https://ec.europa.eu/eurostat/databrowser/view/org_lstspec/default/table?lang=en" target="_blank">org_lstspec)
5. Organic production of animal products (https://ec.europa.eu/eurostat/databrowser/view/org_aprod/default/table?lang=en" target="_blank">org_aprod)
6. Organic production of aquaculture products (https://ec.europa.eu/eurostat/databrowser/view/org_aqtspec/default/table?lang=en" target="_blank">org_aqtspec)
7. Processors of organic products by NACE Rev. 2 activity (C) (from 2012 onwards) (https://ec.europa.eu/eurostat/databrowser/view/org_cpreact/default/table?lang=en" target="_blank">org_cpreact)

Datasets containing data until 2011 are disseminated under a folder with historical data:

1. Organic operators by status of the registration process (until 2011) (https://ec.europa.eu/eurostat/databrowser/view/org_coptyp_h/default/table?lang=en" target="_blank">org_coptyp_h)
2. Organic crop area by agricultural production methods and crops (until 2011) (https://ec.europa.eu/eurostat/databrowser/view/org_cropar_h1/default/table?lang=en" target="_blank">org_cropar_h1)
3. Share of organic crop area out of the total utilised agricultural area (UAA) (until 2011) (https://ec.europa.eu/eurostat/databrowser/view/org_cropar_h2/default/table?lang=en" target="_blank">org_cropar_h2)
4. Organic crop production by crops (until 2011) (https://ec.europa.eu/eurostat/databrowser/view/org_croppro_h/default/table?lang=en" target="_blank">org_croppro_h)
5. Organic livestock (until 2011) (https://ec.europa.eu/eurostat/databrowser/view/org_lstspec_h/default/table?lang=en" target="_blank">org_lstspec_h)
6. Organic production of animal products (until 2011) (https://ec.europa.eu/eurostat/databrowser/view/org_aprod_h/default/table?lang=en" target="_blank">org_aprod_h)
7. Processors of organic products by NACE Rev. 2 activity (C) (2008-2011) (https://ec.europa.eu/eurostat/databrowser/view/org_cpreact_h/default/table?lang=en" target="_blank">org_cpreact_h)
8. Processors and importers of organic products by NACE Rev. 1.1 activity (D) (until 2007) (https://ec.europa.eu/eurostat/databrowser/view/org_cpreact_nr1/default/table?lang=en" target="_blank">org_cpreact_nr1)

An indicator for sustainable development is calculated to provide information on the share of organic area in the total area (Utilised Agricultural Area - UAA). The data on the UAA are provided by crop production statistics (apro_cpsh1).

In datasets listed above, the flag 'n' can be combined with the statistical value 0. In this case, it means that the value reported by the country is not equal to 0 (the statistical value is between 0 and 0.5 of the unit of measure used in the dataset).

Detailed information on the organic production data collection can be found in the Organic production statistics handbook - 2023 edition (see the link in annex).

This dataset consists of a series of rasters covering the conterminous United States. Each raster is a one kilometer (km) grid for 18 selected Census of Agriculture statistics mapped to land use pixels for the time period 1950 to 2012. A supplemental set of 9 statistics mapped at the entire county level are also provided as 1-km rasters. The rasters are posted as ArcGIS grids. The statistics represent values for crops, livestock, irrigation, fertilizer, and manure usage. Most statistics are mapped for all 14 Census of Agriculture reporting years in that time frame: 1950, 1954, 1959, 1964, 1969, 1974, 1978, 1982, 1987, 1992, 1997, 2002, 2007, and 2012.

Graph and download economic data for Employment Level - Agriculture and Related Industries (LNS12034560) from Jan 1948 to Aug 2025 about agriculture, 16 years +, household survey, employment, industry, and USA.