Get statistical data on Ontario exports of live pigs by number of head to the United States.

United States PPI: Farm Products: Slaughter Livestock: Hogs: Sows data was reported at 82.200 1982=100 in Jun 2018. This records a decrease from the previous number of 91.500 1982=100 for May 2018. United States PPI: Farm Products: Slaughter Livestock: Hogs: Sows data is updated monthly, averaging 80.700 1982=100 from Jan 1971 (Median) to Jun 2018, with 569 observations. The data reached an all-time high of 215.100 1982=100 in Apr 2014 and a record low of 15.200 1982=100 in Dec 1998. United States PPI: Farm Products: Slaughter Livestock: Hogs: Sows 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.I017: Producer Price Index: By Commodities.

Graph and download economic data for Employment for Agriculture, Forestry, Fishing and Hunting: Hog and Pig Farming (NAICS 1122) in the United States (IPUAN1122W010000000) from 1987 to 2024 about hogs, hunting, livestock, forestry, fishing, agriculture, NAICS, IP, employment, and USA.

Comprehensive dataset of 2 Pig farms in Mississippi, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

The Census of Agriculture, produced by the United States Department of Agriculture (USDA), provides a complete count of America's farms, ranches and the people who grow our food. The census is conducted every five years, most recently in 2022, and provides an in-depth look at the agricultural industry. This layer was produced from data obtained from the USDA National Agriculture Statistics Service (NASS) Large Datasets download page. The data were transformed and prepared for publishing using the Pivot Table geoprocessing tool in ArcGIS Pro and joined to county boundaries. The county boundaries are 2022 vintage and come from Living Atlas ACS 2022 feature layers.Dataset SummaryPhenomenon Mapped: Hog productionGeographic Extent: 48 contiguous United States, Alaska, Hawaii, and Puerto RicoProjection: Web Mercator Auxiliary SphereSource: USDA National Agricultural Statistics ServiceUpdate Frequency: 5 yearsData Vintage: 2022Publication Date: April 2024AttributesNote that some values are suppressed as "Withheld to avoid disclosing data for individual operations", "Not applicable", or "Less than half the rounding unit". These have been coded in the data as -999, -888, and -777 respectively. You should account for these values when symbolizing or doing any calculations.Commodities included in this layer:Hogs - Inventory - Inventory of Hogs: (1 to 24 Head)Hogs - Inventory - Inventory of Hogs: (25 to 49 Head)Hogs - Inventory - Inventory of Hogs: (50 to 99 Head)Hogs - Inventory - Inventory of Hogs: (100 to 199 Head)Hogs - Inventory - Inventory of Hogs: (200 to 499 Head)Hogs - Inventory - Inventory of Hogs: (500 to 999 Head)Hogs - Inventory - Inventory of Hogs: (1,000 or More Head)Hogs - InventoryHogs - Operations with Inventory - Inventory of Hogs: (1 to 24 Head)Hogs - Operations with Inventory - Inventory of Hogs: (25 to 49 Head)Hogs - Operations with Inventory - Inventory of Hogs: (50 to 99 Head)Hogs - Operations with Inventory - Inventory of Hogs: (100 to 199 Head)Hogs - Operations with Inventory - Inventory of Hogs: (200 to 499 Head)Hogs - Operations with Inventory - Inventory of Hogs: (500 to 999 Head)Hogs - Operations with Inventory - Inventory of Hogs: (1,000 or More Head)Hogs - Operations with InventoryHogs - Operations with Sales - Sales of Hogs: (1 to 24 Head)Hogs - Operations with Sales - Sales of Hogs: (25 to 49 Head)Hogs - Operations with Sales - Sales of Hogs: (50 to 99 Head)Hogs - Operations with Sales - Sales of Hogs: (100 to 199 Head)Hogs - Operations with Sales - Sales of Hogs: (200 to 499 Head)Hogs - Operations with Sales - Sales of Hogs: (500 to 999 Head)Hogs - Operations with Sales - Sales of Hogs: (1,000 or More Head)Hogs - Operations with SalesHogs - Sales, Measured in US Dollars ($)Hogs - Sales, Measured in Head - Sales of Hogs: (1 to 24 Head)Hogs - Sales, Measured in Head - Sales of Hogs: (25 to 49 Head)Hogs - Sales, Measured in Head - Sales of Hogs: (50 to 99 Head)Hogs - Sales, Measured in Head - Sales of Hogs: (100 to 199 Head)Hogs - Sales, Measured in Head - Sales of Hogs: (200 to 499 Head)Hogs - Sales, Measured in Head - Sales of Hogs: (500 to 999 Head)Hogs - Sales, Measured in Head - Sales of Hogs: (1,000 or More Head)Hogs - Sales, Measured in HeadHogs, Production Contract - Operations with ProductionHogs, Production Contract - Production, Measured in Head Geography NoteIn Alaska, one or more county-equivalent entities (borough, census area, city, municipality) are included in an agriculture census area.What can you do with this layer?This layer is designed for data visualization. Identify features by clicking on the map to reveal the pre-configured pop-up. You may change the field(s) being symbolized. When symbolizing other fields, you will need to update the popup accordingly. Simple summary statistics are supported by this data.Questions?Please leave a comment below if you have a question about this layer, and we will get back to you as soon as possible.

Livestock distribution in the United States (U.S.) can only be mapped at a county-level or worse resolution. We developed a spatial microsimulation model called the Farm Location and Agricultural Production Simulator (FLAPS) that simulated the distribution and populations of individual livestock farms throughout the conterminous U.S. Using domestic pigs (Sus scrofa domesticus) as an example species, we customized iterative proportional-fitting algorithms for the hierarchical structure of the U.S. Census of Agriculture and imputed unpublished state- or county-level livestock population totals that were redacted to ensure confidentiality. We used a weighted sampling design to collect data on the presence and absence of farms and used them to develop a national-scale distribution model that predicted the distribution of individual farms at a 100 m resolution. We implemented microsimulation algorithms that simulated the populations and locations of individual farms using output from our imputed Census of Agriculture dataset and distribution model. Approximately 19% of county-level pig population totals were unpublished in the 2012 Census of Agriculture and needed to be imputed. Using aerial photography, we confirmed the presence or absence of livestock farms at 10,238 locations and found livestock farms were correlated with open areas, cropland, and roads, and also areas with cooler temperatures and gentler topography. The distribution of swine farms was highly variable, but cross-validation of our distribution model produced an area under the receiver-operating characteristics curve value of 0.78, which indicated good predictive performance. Verification analyses showed FLAPS accurately imputed and simulated Census of Agriculture data based on absolute percent difference values of < 0.01% at the state-to-national scale, 3.26% for the county-to-state scale, and 0.03% for the individual farm-to-county scale. Our output data have many applications for risk management of agricultural systems including epidemiological studies, food safety, biosecurity issues, emergency-response planning, and conflicts between livestock and other natural resources.

Wild pigs (Sus scrofa), also known as wild swine, feral pigs, or feral hogs, are one of the most widespread and successful invasive species around the world. Wild pigs have been linked to extensive and costly agricultural damage and present a serious threat to plant and animal communities due to their rooting behavior and omnivorous diet. We modeled the current distribution of wild pigs in the United States to better understand the physiological and ecological factors that may determine their invasive potential and to guide future study and eradication efforts. Using national-scale wild pig occurrence data reported between 1982 and 2012 by wildlife management professionals, we estimated the probability of wild pig occurrence across the United States using a logistic discrimination function and environmental covariates hypothesized to influence the distribution of the species. Our results suggest the distribution of wild pigs in the U.S. was most strongly limited by cold temperatures and availability of water, and that they were most likely to occur where potential home ranges had higher habitat heterogeneity, providing access to multiple key resources including water, forage, and cover. High probability of occurrence was also associated with frequent high temperatures, up to a high threshold. However, this pattern is driven by pigs' historic distribution in warm climates of the southern U.S. Further study of pigs' ability to persist in cold northern climates is needed to better understand whether low temperatures actually limit their distribution. Our model highlights areas at risk of invasion as those with habitat conditions similar to those found in pigs' current range that are also near current populations. This study provides a macro-scale approach to generalist species distribution modeling that is applicable to other generalist and invasive species.

Grenada Imports of pig iron and spiegeleisen in pigs, blocks or other primary forms from United States was US$85 during 2024, according to the United Nations COMTRADE database on international trade. Grenada Imports of pig iron and spiegeleisen in pigs, blocks or other primary forms from United States - data, historical chart and statistics - was last updated on July of 2025.

Graph and download economic data for Producer Price Index by Commodity: Farm Products: Slaughter Hogs (WPS0132) from Jan 1967 to May 2025 about hogs, slaughter, livestock, agriculture, commodities, PPI, inflation, price index, indexes, price, and USA.

2014 Swine CAFO Study SE for Agricultural Antibiotic Resistance in Mississippi State, Mississippi The environmental influence of farm management in concentrated animal feeding operations (CAFO) can yield vast changes to the microbial biota and ecological structure of both the pig and waste manure lagoon wastewater. While some of these changes may not be negative, it is possible that CAFOs can enrich antibiotic resistant bacteria or pathogens based on farm type, thereby influencing the impact imparted by the land application of its respective wastewater. The purpose of this study was to measure the microbial constituents of swine-sow, -nursery, and -finisher farm manure lagoon wastewater and determine the changes induced by farm management. A total of 37 farms were visited in the Mid-South USA and analyzed for the genes 16S rRNA, spaQ (Salmonella spp.), Camp-16S (Campylobacter spp.), tetA, tetB, ermF, ermA, mecA, and intI using quantitative PCR. Additionally, 16S rRNA sequence libraries were created. Overall, it appeared that finisher farms were significantly different from nursery and sow farms in nearly all genes measured and in 16S rRNA clone libraries. Nearly all antibiotic resistance genes were detected in all farms. Interestingly, the mecA resistance gene (e.g. methicillin resistant Staphylococcus aureus) was below detection limits on most farms, and decreased as the pigs aged. Finisher farms generally had fewer antibiotic resistance genes, which corroborated previous phenotypic data; additionally, finisher farms produced a less diverse 16S rRNA sequence library. Comparisons of Camp-16S and spaQ GU (genomic unit) values to previous culture data demonstrated ratios from 10 to 10,000:1 depending on farm type, indicating viable but not cultivatable bacteria were dominant. The current study indicated that swine farm management schemes positively and negatively affect microbial and antibiotic resistant populations in CAFO wastewater which has future “downstream” implications from both an environmental and public health perspective. Resources in this dataset:Resource Title: GeoData catalog record. File Name: Web Page, url: https://geodata.nal.usda.gov/geonetwork/srv/eng/catalog.search#/metadata/651220ea-a65e-43a1-9c28-433c27464cae

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

WartyPig Dataset

  Description

This dataset was prepared to aid in the creation of a machine learning algorithm that would classify the white blood cells in thin blood smears of juvenile Visayan warty pigs. The creation of this dataset was deemed imperative because of the limited availability of blood smear images collected from the critically endangered species on the internet. The dataset contains 3,457 images of various types of white blood cells (JPEG).… See the full description on the dataset page: https://huggingface.co/datasets/1aurent/WartyPig.

The timeline shows the per capita consumption of pork in the United States from 2015 to 2023, and provides a forecast until 2034. The U.S. per capita consumption of pork amounted to 50.2 pounds in 2023.

This product provides information on Livestock (Cattle and Calves, Hogs, Sheep and Lamb) Slaughtered, Canada and Provinces, for an eight-year period. Annual Percent Change of Slaughter Activity in Alberta and Western Canada is included.

The rapid expansion of wild pigs (Sus scrofa) throughout the United States (US) has been fueled by unlawful introductions, with invasive populations causing extensive crop losses, damaging native ecosystems, and serving as a reservoir for disease. Multiple states have passed laws prohibiting the possession or transport of wild pigs. However, genetic and phenotypic similarities between domestic pigs and invasive wild pigs – which overwhelmingly represent domestic pig-wild boar hybrids – pose a challenge for the enforcement of such regulations. We sought to exploit wild boar ancestry as a common attribute among the vast majority of invasive wild pigs as a means of genetically differentiating wild pigs from breeds of domestic pigs found within the US. We organized reference high-density single nucleotide polymorphism genotypes (1,039 samples from 33 domestic breeds and 382 samples from 16 wild boar populations) into five genetically cohesive reference groups: mixed-commercial breeds, Duroc..., We assembled the Sus scrofa reference set from previously published high-resolution SNP genotypes, restricting analysis to genotypes produced with Illumina BeadArray technology (San Diego, California) across multiple commercially available arrays (Illumina PorcineSNP60, Illumina PorcineSNP60 v2, Genomic Profiler for Porcine HD, licensed exclusively to GeneSeek, a Neogen Corporation, Lansing, Michigan; Ramos et al., 2009). We augmented previously published genotypes (detailed in Smyser et al., 2020) with a subset of novel genotypes produced for this study (Appendix S1: Table S1). We restricted our analyses to loci that were available across all datasets (influenced by loci shared across arrays and the extent to which publicly available datasets were filtered by authors prior to publication) and mapped to autosomes (Sscrofa11.1 genome assembly; Warr et al., 2020). In sum, we included 33 breeds and 16 populations of European wild boar, representing a total of 1,421 reference samples (Table..., Files are presented as a PLINK binary file family (.bed/.bim/*.fam). Files can be opened with PLINK (freely available at https://www.cog-genomics.org/plink/) or with many other software platforms., We present data files and computer code necessary to recreate the analyses described in:

"Probabilistic genetic identification of wild boar hybridization to support control of invasive wild pigs (Sus scrofa)" by Timothy J. Smyser, Peter Pfaffelhuber, Rachael M. Giglio, Matthew G. DeSaix, Amy J. Davis, Courtney F. Bowden, Michael A. Tabak, Arianna Manunza, Valentin Adrian Balteanu, Marcel Amills, Laura Iacolina, Pamela Walker, Carl Lessard, and Antoinette J. Piaggio and published in Ecosphere

The files include genotypes for 8,422 Sus scrofa, representing 1,421 reference samples organized into K5 reference groups (mixed-commercial breeds, Duroc, heritage breeds, primitive breeds, and European wild boar), 6,566 wild pigs sampled across the invaded range within the contiguous United States, and 435 domestic pigs sampled from 29 Western breeds that were excluded from the reference set to serve as a test set, with genotypes compiled in a .bed/.bim/*.fam (binary PED file) file format. All ...

United States Imports: 3-Digit: JP: Pig Iron & Spiegeleisen, Sponge Iron, etc data was reported at 5.004 USD mn in May 2018. This records an increase from the previous number of 3.461 USD mn for Apr 2018. United States Imports: 3-Digit: JP: Pig Iron & Spiegeleisen, Sponge Iron, etc data is updated monthly, averaging 3.276 USD mn from Jan 1996 (Median) to May 2018, with 269 observations. The data reached an all-time high of 14.351 USD mn in Nov 2008 and a record low of 0.997 USD mn in May 2003. United States Imports: 3-Digit: JP: Pig Iron & Spiegeleisen, Sponge Iron, etc data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA094: Trade Statistics: Japan: Imports: Customs: SITC.

Imports: 3-Digit: BR: Pig Iron & Spiegeleisen, Sponge Iron, etc data was reported at 21.907 USD mn in May 2018. This records a decrease from the previous number of 66.636 USD mn for Apr 2018. Imports: 3-Digit: BR: Pig Iron & Spiegeleisen, Sponge Iron, etc data is updated monthly, averaging 54.385 USD mn from Jan 1996 (Median) to May 2018, with 269 observations. The data reached an all-time high of 454.475 USD mn in Oct 2008 and a record low of 0.341 USD mn in Jun 2009. Imports: 3-Digit: BR: Pig Iron & Spiegeleisen, Sponge Iron, etc data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA071: Trade Statistics: Brazil: Imports: Customs: SITC.

United States Exports: 3-Digit: MX: Pig Iron & Spiegeleisen, Sponge Iron, etc data was reported at 27.724 USD mn in May 2018. This records an increase from the previous number of 26.302 USD mn for Apr 2018. United States Exports: 3-Digit: MX: Pig Iron & Spiegeleisen, Sponge Iron, etc data is updated monthly, averaging 4.025 USD mn from Jan 1996 (Median) to May 2018, with 269 observations. The data reached an all-time high of 35.123 USD mn in Mar 2018 and a record low of 1.334 USD mn in Sep 2001. United States Exports: 3-Digit: MX: Pig Iron & Spiegeleisen, Sponge Iron, etc data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.WA005: Exports Value: By Country and By Product.

United States Exports: 3-Digit: DE: Pig Iron & Spiegeleisen, Sponge Iron, etc data was reported at 3.030 USD mn in May 2018. This records an increase from the previous number of 2.717 USD mn for Apr 2018. United States Exports: 3-Digit: DE: Pig Iron & Spiegeleisen, Sponge Iron, etc data is updated monthly, averaging 0.958 USD mn from Jan 1996 (Median) to May 2018, with 269 observations. The data reached an all-time high of 4.310 USD mn in Aug 2014 and a record low of 0.016 USD mn in Sep 1997. United States Exports: 3-Digit: DE: Pig Iron & Spiegeleisen, Sponge Iron, etc data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.WA005: Exports Value: By Country and By Product.

Thailand Exports of pig iron and spiegeleisen in pigs, blocks or other primary forms to Dominica was US$81 during 2010, according to the United Nations COMTRADE database on international trade. Thailand Exports of pig iron and spiegeleisen in pigs, blocks or other primary forms to Dominica - data, historical chart and statistics - was last updated on July of 2025.